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GitHub - clemensv/avrotize: Avrotize is a command-line tool for converting data structure definitions between different schema formats, using Apache Avro Schema as the integration schema model.
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class="flex-1"> <button aria-label="Toggle navigation" aria-expanded="false" type="button" data-view-component="true" class="js-details-target js-nav-padding-recalculate js-header-menu-toggle Button--link Button--medium Button d-lg-none color-fg-inherit p-1"> <span class="Button-content"> <span class="Button-label"><div class="HeaderMenu-toggle-bar rounded my-1"></div> <div class="HeaderMenu-toggle-bar rounded my-1"></div> <div class="HeaderMenu-toggle-bar rounded my-1"></div></span> </span> </button> </div> <a class="mr-lg-3 color-fg-inherit flex-order-2 js-prevent-focus-on-mobile-nav" href="/" aria-label="Homepage" data-analytics-event="{"category":"Marketing nav","action":"click to go to homepage","label":"ref_page:Marketing;ref_cta:Logomark;ref_loc:Header"}"> <svg height="32" aria-hidden="true" viewBox="0 0 24 24" version="1.1" width="32" data-view-component="true" class="octicon octicon-mark-github"> <path d="M12 1C5.9225 1 1 5.9225 1 12C1 16.8675 4.14875 20.9787 8.52125 22.4362C9.07125 22.5325 9.2775 22.2025 9.2775 21.9137C9.2775 21.6525 9.26375 20.7862 9.26375 19.865C6.5 20.3737 5.785 19.1912 5.565 18.5725C5.44125 18.2562 4.905 17.28 4.4375 17.0187C4.0525 16.8125 3.5025 16.3037 4.42375 16.29C5.29 16.2762 5.90875 17.0875 6.115 17.4175C7.105 19.0812 8.68625 18.6137 9.31875 18.325C9.415 17.61 9.70375 17.1287 10.02 16.8537C7.5725 16.5787 5.015 15.63 5.015 11.4225C5.015 10.2262 5.44125 9.23625 6.1425 8.46625C6.0325 8.19125 5.6475 7.06375 6.2525 5.55125C6.2525 5.55125 7.17375 5.2625 9.2775 6.67875C10.1575 6.43125 11.0925 6.3075 12.0275 6.3075C12.9625 6.3075 13.8975 6.43125 14.7775 6.67875C16.8813 5.24875 17.8025 5.55125 17.8025 5.55125C18.4075 7.06375 18.0225 8.19125 17.9125 8.46625C18.6138 9.23625 19.04 10.2125 19.04 11.4225C19.04 15.6437 16.4688 16.5787 14.0213 16.8537C14.42 17.1975 14.7638 17.8575 14.7638 18.8887C14.7638 20.36 14.75 21.5425 14.75 21.9137C14.75 22.2025 14.9563 22.5462 15.5063 22.4362C19.8513 20.9787 23 16.8537 23 12C23 5.9225 18.0775 1 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position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"github_copilot","context":"product","tag":"link","label":"github_copilot_link_product_navbar"}" href="https://github.com/features/copilot"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z"></path><path d="M14.5 14.25a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Zm-5 0a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Copilot</div> Write better code with AI </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"github_advanced_security","context":"product","tag":"link","label":"github_advanced_security_link_product_navbar"}" href="https://github.com/security/advanced-security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Advanced Security</div> Find and fix vulnerabilities </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" 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1.5h-.5a.75.75 0 0 1-.75-.75Z"></path> </svg> <div> <div class="color-fg-default h4">Codespaces</div> Instant dev environments </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"issues","context":"product","tag":"link","label":"issues_link_product_navbar"}" href="https://github.com/features/issues"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-issue-opened color-fg-subtle mr-3"> <path d="M12 1c6.075 0 11 4.925 11 11s-4.925 11-11 11S1 18.075 1 12 5.925 1 12 1ZM2.5 12a9.5 9.5 0 0 0 9.5 9.5 9.5 9.5 0 0 0 9.5-9.5A9.5 9.5 0 0 0 12 2.5 9.5 9.5 0 0 0 2.5 12Zm9.5 2a2 2 0 1 1-.001-3.999A2 2 0 0 1 12 14Z"></path> </svg> <div> <div class="color-fg-default h4">Issues</div> Plan and track work </div> </a></li> <li> <a 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width="24" data-view-component="true" class="octicon octicon-code-square color-fg-subtle mr-3"> <path d="M10.3 8.24a.75.75 0 0 1-.04 1.06L7.352 12l2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M2 3.75C2 2.784 2.784 2 3.75 2h16.5c.966 0 1.75.784 1.75 1.75v16.5A1.75 1.75 0 0 1 20.25 22H3.75A1.75 1.75 0 0 1 2 20.25Zm1.75-.25a.25.25 0 0 0-.25.25v16.5c0 .138.112.25.25.25h16.5a.25.25 0 0 0 .25-.25V3.75a.25.25 0 0 0-.25-.25Z"></path> </svg> <div> <div class="color-fg-default h4">Code Search</div> Find more, search less </div> </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="product-explore-heading">Explore</span> <ul class="list-style-none f5" 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0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"github_skills","context":"product","tag":"link","label":"github_skills_link_product_navbar"}" href="https://skills.github.com"> GitHub Skills <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 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dir=\"auto\"\u003eAvrotize\u003c/h1\u003e\u003ca id=\"user-content-avrotize\" class=\"anchor\" aria-label=\"Permalink: Avrotize\" href=\"#avrotize\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAvrotize is a \u003ca href=\"https://en.wikipedia.org/wiki/Rosetta_Stone\" rel=\"nofollow\"\u003e\"Rosetta Stone\"\u003c/a\u003e for data structure definitions, allowing you to convert between numerous data and database schema formats and to generate code for different programming languages.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIt is, for instance, a well-documented and predictable converter and code generator for data structures originally defined in JSON Schema (of arbitrary complexity).\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe tool leans on the Apache Avro-derived \u003ca href=\"/clemensv/avrotize/blob/master/specs/avrotize-schema.md\"\u003eAvrotize Schema\u003c/a\u003e as its schema model.\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eProgramming languages: Python, C#, Java, TypeScript, JavaScript, Rust, Go, C++\u003c/li\u003e\n\u003cli\u003eSQL Databases: MySQL, MariaDB, PostgreSQL, SQL Server, Oracle, SQLite, BigQuery, Snowflake, Redshift, DB2\u003c/li\u003e\n\u003cli\u003eOther databases: KQL/Kusto, MongoDB, Cassandra, Redis, Elasticsearch, DynamoDB, CosmosDB\u003c/li\u003e\n\u003cli\u003eData schema formats: Avro, JSON Schema, XML Schema (XSD), Protocol Buffers 2 and 3, ASN.1, Apache Parquet\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstallation\u003c/h2\u003e\u003ca id=\"user-content-installation\" class=\"anchor\" aria-label=\"Permalink: Installation\" href=\"#installation\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou can install Avrotize from PyPI, \u003ca href=\"https://www.python.org/downloads/\" rel=\"nofollow\"\u003ehaving installed Python 3.10 or later\u003c/a\u003e:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install avrotize\"\u003e\u003cpre\u003epip install avrotize\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eUsage\u003c/h2\u003e\u003ca id=\"user-content-usage\" class=\"anchor\" aria-label=\"Permalink: Usage\" href=\"#usage\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAvrotize provides several commands for converting schema formats via Avrotize Schema.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eConverting to Avrotize Schema:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"#convert-proto-schema-to-avrotize-schema\"\u003e\u003ccode\u003eavrotize p2a\u003c/code\u003e\u003c/a\u003e - Convert Protobuf (2 or 3) schema to Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-json-schema-to-avrotize-schema\"\u003e\u003ccode\u003eavrotize j2a\u003c/code\u003e\u003c/a\u003e - Convert JSON schema to Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-xml-schema-xsd-to-avrotize-schema\"\u003e\u003ccode\u003eavrotize x2a\u003c/code\u003e\u003c/a\u003e - Convert XML schema to Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-asn1-schema-to-avrotize-schema\"\u003e\u003ccode\u003eavrotize asn2a\u003c/code\u003e\u003c/a\u003e - Convert ASN.1 to Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-kusto-table-definition-to-avrotize-schema\"\u003e\u003ccode\u003eavrotize k2a\u003c/code\u003e\u003c/a\u003e - Convert Kusto table definitions to Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-parquet-schema-to-avrotize-schema\"\u003e\u003ccode\u003eavrotize pq2a\u003c/code\u003e\u003c/a\u003e - Convert Parquet schema to Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-csv-file-to-avrotize-schema\"\u003e\u003ccode\u003eavrotize csv2a\u003c/code\u003e\u003c/a\u003e - Convert CSV file to Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-kafka-connect-schema-to-avrotize-schema\"\u003e\u003ccode\u003eavrotize kstruct2a\u003c/code\u003e\u003c/a\u003e - Convert Kafka Connect Schema to Avrotize Schema.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConverting from Avrotize Schema:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-proto-schema\"\u003e\u003ccode\u003eavrotize a2p\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to Protobuf 3 schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-json-schema\"\u003e\u003ccode\u003eavrotize a2j\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to JSON schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-xml-schema\"\u003e\u003ccode\u003eavrotize a2x\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to XML schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-kusto-table-declaration\"\u003e\u003ccode\u003eavrotize a2k\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to Kusto table definition.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-sql-table-definition\"\u003e\u003ccode\u003eavrotize a2sql\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to SQL table definition.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-empty-parquet-file\"\u003e\u003ccode\u003eavrotize a2pq\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to Parquet or Iceberg schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-iceberg-schema\"\u003e\u003ccode\u003eavrotize a2ib\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to Iceberg schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-mongodb-schema\"\u003e\u003ccode\u003eavrotize a2mongo\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to MongoDB schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-cassandra-schema\"\u003e\u003ccode\u003eavrotize a2cassandra\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to Cassandra schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-elasticsearch-schema\"\u003e\u003ccode\u003eavrotize a2es\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to Elasticsearch schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-dynamodb-schema\"\u003e\u003ccode\u003eavrotize a2dynamodb\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to DynamoDB schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-cosmosdb-schema\"\u003e\u003ccode\u003eavrotize a2cosmos\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to CosmosDB schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-couchdb-schema\"\u003e\u003ccode\u003eavrotize a2couchdb\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to CouchDB schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-firebase-schema\"\u003e\u003ccode\u003eavrotize a2firebase\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to Firebase schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-hbase-schema\"\u003e\u003ccode\u003eavrotize a2hbase\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to HBase schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-neo4j-schema\"\u003e\u003ccode\u003eavrotize a2neo4j\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to Neo4j schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-datapackage-schema\"\u003e\u003ccode\u003eavrotize a2dp\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to Datapackage schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-markdown-documentation\"\u003e\u003ccode\u003eavrotize a2md\u003c/code\u003e\u003c/a\u003e - Convert Avrotize Schema to Markdown documentation.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eGenerate code from Avrotize Schema:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-c-classes\"\u003e\u003ccode\u003eavrotize a2cs\u003c/code\u003e\u003c/a\u003e - Generate C# code from Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-java-classes\"\u003e\u003ccode\u003eavrotize a2java\u003c/code\u003e\u003c/a\u003e - Generate Java code from Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-python-classes\"\u003e\u003ccode\u003eavrotize a2py\u003c/code\u003e\u003c/a\u003e - Generate Python code from Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-typescript-classes\"\u003e\u003ccode\u003eavrotize a2ts\u003c/code\u003e\u003c/a\u003e - Generate TypeScript code from Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-javascript-classes\"\u003e\u003ccode\u003eavrotize a2js\u003c/code\u003e\u003c/a\u003e - Generate JavaScript code from Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-c-classes\"\u003e\u003ccode\u003eavrotize a2cpp\u003c/code\u003e\u003c/a\u003e - Generate C++ code from Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-go-classes\"\u003e\u003ccode\u003eavrotize a2go\u003c/code\u003e\u003c/a\u003e - Generate Go code from Avrotize Schema.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#convert-avrotize-schema-to-rust-classes\"\u003e\u003ccode\u003eavrotize a2rust\u003c/code\u003e\u003c/a\u003e - Generate Rust code from Avrotize Schema.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eOther commands:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"#create-the-parsing-canonical-form-pcf-of-an-avrotize-schema\"\u003e\u003ccode\u003eavrotize pcf\u003c/code\u003e\u003c/a\u003e - Create the Parsing Canonical Form (PCF) of an Avrotize Schema.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOverview\u003c/h2\u003e\u003ca id=\"user-content-overview\" class=\"anchor\" aria-label=\"Permalink: Overview\" href=\"#overview\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou can use Avrotize to convert between Avro/Avrotize Schema and other schema formats like JSON Schema, XML Schema (XSD), Protocol Buffers (Protobuf), ASN.1, and database schema formats like Kusto Data Table Definition (KQL) and SQL Table Definition. That means you can also convert from JSON Schema to Protobuf going via Avrotize Schema.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eYou can also generate C#, Java, TypeScript, JavaScript, and Python code from Avrotize Schema documents. The difference to the native Avro tools is that Avrotize can emit data classes without Avro library dependencies and, optionally, with annotations for JSON serialization libraries like Jackson or System.Text.Json.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe tool does not convert data (instances of schemas), only the data structure definitions.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eMind that the primary objective of the tool is the conversion of schemas that describe data structures used in applications, databases, and message systems. While the project's internal tests do cover a lot of ground, it is nevertheless not a primary goal of the tool to convert every complex document schema like those used for devops pipeline or system configuration files.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eWhy?\u003c/h2\u003e\u003ca id=\"user-content-why\" class=\"anchor\" aria-label=\"Permalink: Why?\" href=\"#why\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eData structure definitions are an essential part of data exchange, serialization, and storage. They define the shape and type of data, and they are foundational for tooling and libraries for working with the data. Nearly all data schema languages are coupled to a specific data exchange or storage format, locking the definitions to that format.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAvrotize is designed as a tool to \"unlock\" data definitions from JSON Schema or XML Schema and make them usable in other contexts. The intent is also to lay a foundation for transcoding data from one format to another, by translating the schema definitions as accurately as possible into the schema model of the target format's schema. The transcoding of the data itself requires separate tools that are beyond the scope of this project.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe use of the term \"data structure definition\" and not \"data object definition\" is quite intentional. The focus of the tool is on data structures that can be used for messaging and eventing payloads, for data serialization, and for database tables, with the goal that those structures can be mapped cleanly from and to common programming language types.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eTherefore, Avrotize intentionally ignores common techniques to model object-oriented inheritance. For instance, when converting from JSON Schema, all content from \u003ccode\u003eallOf\u003c/code\u003e expressions is merged into a single record type rather than trying to model the inheritance tree in Avro.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eAvrotize Schema\u003c/h2\u003e\u003ca id=\"user-content-avrotize-schema\" class=\"anchor\" aria-label=\"Permalink: Avrotize Schema\" href=\"#avrotize-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAvrotize Schema is a schema model that is a full superset of the popular Apache Avro Schema model. Avrotize Schema is the \"pivot point\" for this tool. All schemas are converted from and to Avrotize Schema.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eSince Avrotize Schema is a superset of Avro Schema and uses its extensibility features, every Avrotize Schema is also a valid Avro Schema and vice versa.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWhy did we pick Avro Schema as the foundational schema model?\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAvro Schema ...\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eprovides a simple, clean, and concise way to define data structures. It is quite easy to understand and use.\u003c/li\u003e\n\u003cli\u003eis self-contained by design without having or requiring external references. Avro Schema can express complex data structure hierarchies spanning multiple namespace boundaries all in a single file, which neither JSON Schema nor XML Schema nor Protobuf can do.\u003c/li\u003e\n\u003cli\u003ecan be resolved by code generators and other tools \"top-down\" since it enforces dependencies to be ordered such that no forward-referencing occurs.\u003c/li\u003e\n\u003cli\u003eemerged out of the Apache Hadoop ecosystem and is widely used for serialization and storage of data and for data exchange between systems.\u003c/li\u003e\n\u003cli\u003esupports native and logical types that cover the needs of many business and technical use cases.\u003c/li\u003e\n\u003cli\u003ecan describe the popular JSON data encoding very well and in a way that always maps cleanly to a wide range of programming languages and systems. In contrast, it's quite easy to inadvertently define a JSON Schema that is very difficult to map to a programming language structure.\u003c/li\u003e\n\u003cli\u003eis itself expressed as JSON. That makes it easy to parse and generate, which is not the case for Protobuf or ASN.1, which require bespoke parsers.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cblockquote\u003e\n\u003cp dir=\"auto\"\u003eIt needs to be noted here that while Avro Schema is great for defining data structures, and data classes generated from Avro Schema using this tool or other tools can be used to with the most popular JSON serialization libraries, the Apache Avro project's own JSON encoding has fairly grave interoperability issues with common usage of JSON. Avrotize defines an alternate JSON encoding\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp dir=\"auto\"\u003ein \u003ca href=\"/clemensv/avrotize/blob/master/specs/avrojson.md\"\u003e\u003ccode\u003eavrojson.md\u003c/code\u003e\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAvro Schema does not support all the bells and whistles of XML Schema or JSON Schema, but that is a feature, not a bug, as it ensures the portability of the schemas across different systems and infrastructures. Specifically, Avro Schema does not support many of the data validation features found in JSON Schema or XML Schema. There are no \u003ccode\u003epattern\u003c/code\u003e, \u003ccode\u003eformat\u003c/code\u003e, \u003ccode\u003eminimum\u003c/code\u003e, \u003ccode\u003emaximum\u003c/code\u003e, or \u003ccode\u003erequired\u003c/code\u003e keywords in Avro Schema, and Avro does not support conditional validation.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIn a system where data originates as XML or JSON described by a validating XML Schema or JSON Schema, the assumption we make here is that data will be validated using its native schema language first, and then the Avro Schema will be used for transformation or transfer or storage.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eAdding CloudEvents columns for database tables\u003c/h2\u003e\u003ca id=\"user-content-adding-cloudevents-columns-for-database-tables\" class=\"anchor\" aria-label=\"Permalink: Adding CloudEvents columns for database tables\" href=\"#adding-cloudevents-columns-for-database-tables\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWhen converting Avrotize Schema to Kusto Data Table Definition (KQL), SQL Table Definition, or Parquet Schema, the tool can add special columns for \u003ca href=\"https://cloudevents.io\" rel=\"nofollow\"\u003eCloudEvents\u003c/a\u003e attributes. CNCF CloudEvents is a specification for describing event data in a common way.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe rationale for adding such columns to database tables is that messages and events commonly separate event metadata from the payload data, while that information is merged when events are projected into a database. The metadata often carries important context information about the event that is not contained in the payload itself. Therefore, the tool can add those columns to the database tables for easy alignment of the message context with the payload when building event stores.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Proto schema to Avrotize Schema\u003c/h3\u003e\u003ca id=\"user-content-convert-proto-schema-to-avrotize-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Proto schema to Avrotize Schema\" href=\"#convert-proto-schema-to-avrotize-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize p2a \u0026lt;path_to_proto_file\u0026gt; [--out \u0026lt;path_to_avro_schema_file\u0026gt;]\"\u003e\u003cpre\u003eavrotize p2a \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_proto_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_proto_file\u0026gt;\u003c/code\u003e: The path to the Protobuf schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eProto 2 and Proto 3 syntax are supported.\u003c/li\u003e\n\u003cli\u003eProto package names are mapped to Avro namespaces. The tool does resolve imports and consolidates all imported types into a single Avrotize Schema file.\u003c/li\u003e\n\u003cli\u003eThe tool embeds all 'well-known' Protobuf 3.0 types in Avro format and injects them as needed when the respective types are imported. Only the \u003ccode\u003eTimestamp\u003c/code\u003e type is mapped to the Avro logical type 'timestamp-millis'. The rest of the well-known Protobuf types are kept as Avro record types with the same field names and types.\u003c/li\u003e\n\u003cli\u003eProtobuf allows any scalar type as key in a \u003ccode\u003emap\u003c/code\u003e, Avro does not. When converting from Proto to Avro, the type information for the map keys is ignored.\u003c/li\u003e\n\u003cli\u003eThe field numbers in message types are not mapped to the positions of the fields in Avro records. The fields in Avro are ordered as they appear in the Proto schema. Consequently, the Avrotize Schema also ignores the \u003ccode\u003eextensions\u003c/code\u003e and \u003ccode\u003ereserved\u003c/code\u003e keywords in the Proto schema.\u003c/li\u003e\n\u003cli\u003eThe \u003ccode\u003eoptional\u003c/code\u003e keyword results in an Avro field being nullable (union with the \u003ccode\u003enull\u003c/code\u003e type), while the \u003ccode\u003erequired\u003c/code\u003e keyword results in a non-nullable field. The \u003ccode\u003erepeated\u003c/code\u003e keyword results in an Avro field being an array of the field type.\u003c/li\u003e\n\u003cli\u003eThe \u003ccode\u003eoneof\u003c/code\u003e keyword in Proto is mapped to an Avro union type.\u003c/li\u003e\n\u003cli\u003eAll \u003ccode\u003eoptions\u003c/code\u003e in the Proto schema are ignored.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to Proto schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-proto-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to Proto schema\" href=\"#convert-avrotize-schema-to-proto-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2p \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_proto_directory\u0026gt;] [--naming \u0026lt;naming_mode\u0026gt;] [--allow-optional]\"\u003e\u003cpre\u003eavrotize a2p \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_proto_directory\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--naming \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003enaming_mode\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--allow-optional]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Protobuf schema directory to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--naming\u003c/code\u003e: (optional) Type naming convention. Choices are \u003ccode\u003esnake\u003c/code\u003e, \u003ccode\u003ecamel\u003c/code\u003e, \u003ccode\u003epascal\u003c/code\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--allow-optional\u003c/code\u003e: (optional) Enable support for 'optional' fields.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eAvro namespaces are resolved into distinct proto package definitions. The tool will create a new \u003ccode\u003e.proto\u003c/code\u003e file with the package definition and an \u003ccode\u003eimport\u003c/code\u003e statement for each namespace found in the Avrotize Schema.\u003c/li\u003e\n\u003cli\u003eAvro type unions \u003ccode\u003e[]\u003c/code\u003e are converted to \u003ccode\u003eoneof\u003c/code\u003e expressions in Proto. Avro allows for maps and arrays in the type union, whereas Proto only supports scalar types and message type references. The tool will therefore emit message types containing a single array or map field for any such case and add it to the containing type, and will also recursively resolve further unions in the array and map values.\u003c/li\u003e\n\u003cli\u003eThe sequence of fields in a message follows the sequence of fields in the Avro record. When type unions need to be resolved into \u003ccode\u003eoneof\u003c/code\u003e expressions, the alternative fields need to be assigned field numbers, which will shift the field numbers for any subsequent fields.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert JSON schema to Avrotize Schema\u003c/h3\u003e\u003ca id=\"user-content-convert-json-schema-to-avrotize-schema\" class=\"anchor\" aria-label=\"Permalink: Convert JSON schema to Avrotize Schema\" href=\"#convert-json-schema-to-avrotize-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize j2a \u0026lt;path_to_json_schema_file\u0026gt; [--out \u0026lt;path_to_avro_schema_file\u0026gt;] [--namespace \u0026lt;avro_schema_namespace\u0026gt;] [--split-top-level-records]\"\u003e\u003cpre\u003eavrotize j2a \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_json_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--namespace \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eavro_schema_namespace\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--split-top-level-records]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_json_schema_file\u0026gt;\u003c/code\u003e: The path to the JSON schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--namespace\u003c/code\u003e: (optional) The namespace to use in the Avrotize Schema if the JSON schema does not define a namespace.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--split-top-level-records\u003c/code\u003e: (optional) Split top-level records into separate files.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"/clemensv/avrotize/blob/master/specs/jsonschema.md\"\u003eJSON Schema Handling in Avrotize\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to JSON schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-json-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to JSON schema\" href=\"#convert-avrotize-schema-to-json-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2j \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_json_schema_file\u0026gt;] [--naming \u0026lt;naming_mode\u0026gt;]\"\u003e\u003cpre\u003eavrotize a2j \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_json_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--naming \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003enaming_mode\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the JSON schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--naming\u003c/code\u003e: (optional) Type naming convention. Choices are \u003ccode\u003esnake\u003c/code\u003e, \u003ccode\u003ecamel\u003c/code\u003e, \u003ccode\u003epascal\u003c/code\u003e, \u003ccode\u003edefault\u003c/code\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"/clemensv/avrotize/blob/master/specs/jsonschema.md\"\u003eJSON Schema Handling in Avrotize\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert XML Schema (XSD) to Avrotize Schema\u003c/h3\u003e\u003ca id=\"user-content-convert-xml-schema-xsd-to-avrotize-schema\" class=\"anchor\" aria-label=\"Permalink: Convert XML Schema (XSD) to Avrotize Schema\" href=\"#convert-xml-schema-xsd-to-avrotize-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize x2a \u0026lt;path_to_xsd_file\u0026gt; [--out \u0026lt;path_to_avro_schema_file\u0026gt;] [--namespace \u0026lt;avro_schema_namespace\u0026gt;]\"\u003e\u003cpre\u003eavrotize x2a \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_xsd_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--namespace \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eavro_schema_namespace\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_xsd_file\u0026gt;\u003c/code\u003e: The path to the XML schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--namespace\u003c/code\u003e: (optional) The namespace to use in the Avrotize Schema if the XML schema does not define a namespace.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eAll XML Schema constructs are mapped to Avro record types with fields, whereby \u003cstrong\u003eboth\u003c/strong\u003e, elements and attributes, become fields in the record. XML is therefore flattened into fields and this aspect of the structure is not preserved.\u003c/li\u003e\n\u003cli\u003eAvro does not support \u003ccode\u003exsd:any\u003c/code\u003e as Avro does not support arbitrary typing and must always use a named type. The tool will map \u003ccode\u003exsd:any\u003c/code\u003e to a field \u003ccode\u003eany\u003c/code\u003e typed as a union that allows scalar values or two levels of array and/or map nesting.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003esimpleType\u003c/code\u003e declarations that define enums are mapped to \u003ccode\u003eenum\u003c/code\u003e types in Avro. All other facets are ignored and simple types are mapped to the corresponding Avro type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003ecomplexType\u003c/code\u003e declarations that have simple content where a base type is augmented with attributes is mapped to a record type in Avro. Any other facets defined on the complex type are ignored.\u003c/li\u003e\n\u003cli\u003eIf the schema defines a single root element, the tool will emit a single Avro record type. If the schema defines multiple root elements, the tool will emit a union of record types, each corresponding to a root element.\u003c/li\u003e\n\u003cli\u003eAll fields in the resulting Avrotize Schema are annotated with an \u003ccode\u003exmlkind\u003c/code\u003e extension attribute that indicates whether the field was an \u003ccode\u003eelement\u003c/code\u003e or an \u003ccode\u003eattribute\u003c/code\u003e in the XML schema.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to XML schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-xml-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to XML schema\" href=\"#convert-avrotize-schema-to-xml-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2x \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_xsd_schema_file\u0026gt;] [--namespace \u0026lt;target_namespace\u0026gt;]\"\u003e\u003cpre\u003eavrotize a2x \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_xsd_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--namespace \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003etarget_namespace\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the XML schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--namespace\u003c/code\u003e: (optional) Target namespace for the XSD schema.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eAvro record types are mapped to XML Schema complex types with elements.\u003c/li\u003e\n\u003cli\u003eAvro enum types are mapped to XML Schema simple types with restrictions.\u003c/li\u003e\n\u003cli\u003eAvro logical types are mapped to XML Schema simple types with restrictions where required.\u003c/li\u003e\n\u003cli\u003eAvro unions are mapped to standalone XSD simple type definitions with a union restriction if all union types are primitives.\u003c/li\u003e\n\u003cli\u003eAvro unions with complex types are resolved into distinct types for each option that are\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003ethen joined with a choice.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert ASN.1 schema to Avrotize Schema\u003c/h3\u003e\u003ca id=\"user-content-convert-asn1-schema-to-avrotize-schema\" class=\"anchor\" aria-label=\"Permalink: Convert ASN.1 schema to Avrotize Schema\" href=\"#convert-asn1-schema-to-avrotize-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize asn2a \u0026lt;path_to_asn1_schema_file\u0026gt;[,\u0026lt;path_to_asn1_schema_file\u0026gt;,...] [--out \u0026lt;path_to_avro_schema_file\u0026gt;]\"\u003e\u003cpre\u003eavrotize asn2a \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_asn1_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e[,\u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_asn1_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e,...] [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_asn1_schema_file\u0026gt;\u003c/code\u003e: The path to the ASN.1 schema file to be converted. The tool supports multiple files in a comma-separated list. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eAll ASN.1 types are mapped to Avro record types, enums, and unions. Avro does not support the same level of nesting of types as ASN.1, the tool will map the types to the best fit.\u003c/li\u003e\n\u003cli\u003eThe tool will map the following ASN.1 types to Avro types:\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003eSEQUENCE\u003c/code\u003e and \u003ccode\u003eSET\u003c/code\u003e are mapped to Avro record types.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eCHOICE\u003c/code\u003e is mapped to an Avro record types with all fields being optional. While the \u003ccode\u003eCHOICE\u003c/code\u003e type technically corresponds to an Avro union, the ASN.1 type has different named fields for each option, which is not a feature of Avro unions.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eOBJECT IDENTIFIER\u003c/code\u003e is mapped to an Avro string type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eENUMERATED\u003c/code\u003e is mapped to an Avro enum type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eSEQUENCE OF\u003c/code\u003e and \u003ccode\u003eSET OF\u003c/code\u003e are mapped to Avro array type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eBIT STRING\u003c/code\u003e is mapped to Avro bytes type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eOCTET STRING\u003c/code\u003e is mapped to Avro bytes type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eINTEGER\u003c/code\u003e is mapped to Avro long type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eREAL\u003c/code\u003e is mapped to Avro double type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eBOOLEAN\u003c/code\u003e is mapped to Avro boolean type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eNULL\u003c/code\u003e is mapped to Avro null type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eUTF8String\u003c/code\u003e, \u003ccode\u003ePrintableString\u003c/code\u003e, \u003ccode\u003eIA5String\u003c/code\u003e, \u003ccode\u003eBMPString\u003c/code\u003e, \u003ccode\u003eNumericString\u003c/code\u003e, \u003ccode\u003eTeletexString\u003c/code\u003e, \u003ccode\u003eVideotexString\u003c/code\u003e, \u003ccode\u003eGraphicString\u003c/code\u003e, \u003ccode\u003eVisibleString\u003c/code\u003e, \u003ccode\u003eGeneralString\u003c/code\u003e, \u003ccode\u003eUniversalString\u003c/code\u003e, \u003ccode\u003eCharacterString\u003c/code\u003e, \u003ccode\u003eT61String\u003c/code\u003e are all mapped to Avro string type.\u003c/li\u003e\n\u003cli\u003eAll other ASN.1 types are mapped to Avro string type.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eThe ability to parse ASN.1 schema files is limited and the tool may not be able to parse all ASN.1 files. The tool is based on the Python asn1tools package and is limited to that package's capabilities.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Kusto table definition to Avrotize Schema\u003c/h3\u003e\u003ca id=\"user-content-convert-kusto-table-definition-to-avrotize-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Kusto table definition to Avrotize Schema\" href=\"#convert-kusto-table-definition-to-avrotize-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize k2a --kusto-uri \u0026lt;kusto_cluster_uri\u0026gt; --kusto-database \u0026lt;kusto_database\u0026gt; [--out \u0026lt;path_to_avro_schema_file\u0026gt;] [--emit-cloudevents-xregistry]\"\u003e\u003cpre\u003eavrotize k2a --kusto-uri \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003ekusto_cluster_uri\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e --kusto-database \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003ekusto_database\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--emit-cloudevents-xregistry]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e--kusto-uri\u003c/code\u003e: The URI of the Kusto cluster to connect to.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--kusto-database\u003c/code\u003e: The name of the Kusto database to read the table definitions from.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-xregistry\u003c/code\u003e: (optional) See discussion below.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool directly connects to the Kusto cluster and reads the table definitions from the specified database. The tool will convert all tables in the database to Avro record types, returned in a top-level type union.\u003c/li\u003e\n\u003cli\u003eConnecting to the Kusto cluster leans on the same authentication mechanisms as the Azure CLI. The tool will use the same authentication context as the Azure CLI if it is installed and authenticated.\u003c/li\u003e\n\u003cli\u003eThe tool will map the Kusto column types to Avro types as follows:\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003ebool\u003c/code\u003e is mapped to Avro boolean type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003edatetime\u003c/code\u003e is mapped to Avro long type with logical type \u003ccode\u003etimestamp-millis\u003c/code\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003edecimal\u003c/code\u003e is mapped to a logical Avro type with the \u003ccode\u003elogicalType\u003c/code\u003e set to \u003ccode\u003edecimal\u003c/code\u003e and the \u003ccode\u003eprecision\u003c/code\u003e and \u003ccode\u003escale\u003c/code\u003e set to the values of the \u003ccode\u003edecimal\u003c/code\u003e type in Kusto.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eguid\u003c/code\u003e is mapped to Avro string type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003eint\u003c/code\u003e is mapped to Avro int type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003elong\u003c/code\u003e is mapped to Avro long type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003ereal\u003c/code\u003e is mapped to Avro double type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003estring\u003c/code\u003e is mapped to Avro string type.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003etimespan\u003c/code\u003e is mapped to a logical Avro type with the \u003ccode\u003elogicalType\u003c/code\u003e set to \u003ccode\u003eduration\u003c/code\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003eFor \u003ccode\u003edynamic\u003c/code\u003e columns, the tool will sample the data in the table to determine the structure of the dynamic column. The tool will map the dynamic column to an Avro record type with fields that correspond to the fields found in the dynamic column. If the dynamic column contains nested dynamic columns, the tool will recursively map those to Avro record types. If records with conflicting structures are found in the dynamic column, the tool will emit a union of record types for the dynamic column.\u003c/li\u003e\n\u003cli\u003eIf the \u003ccode\u003e--emit-cloudevents-xregistry\u003c/code\u003e option is set, the tool will emit an \u003ca href=\"http://xregistry.io\" rel=\"nofollow\"\u003exRegistry\u003c/a\u003e registry manifest file with a CloudEvent message definition for each table in the Kusto database and a separate Avro Schema for each table in the embedded schema registry. If one or more tables are found to contain CloudEvent data (as indicated by the presence of the CloudEvents attribute columns), the tool will inspect the content of the \u003ccode\u003etype\u003c/code\u003e (or \u003ccode\u003e__type\u003c/code\u003e or \u003ccode\u003e__type\u003c/code\u003e) columns to determine which CloudEvent types have been stored in the table and will emit a CloudEvent definition and schema for each unique type.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to Kusto table declaration\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-kusto-table-declaration\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to Kusto table declaration\" href=\"#convert-avrotize-schema-to-kusto-table-declaration\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2k \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_kusto_kql_file\u0026gt;] [--record-type \u0026lt;record_type\u0026gt;] [--emit-cloudevents-columns] [--emit-cloudevents-dispatch]\"\u003e\u003cpre\u003eavrotize a2k \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_kusto_kql_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--record-type \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003erecord_type\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--emit-cloudevents-columns] [--emit-cloudevents-dispatch]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Kusto KQL file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--record-type\u003c/code\u003e: (optional) The name of the Avro record type to convert to a Kusto table.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: (optional) If set, the tool will add \u003ca href=\"https://cloudevents.io\" rel=\"nofollow\"\u003eCloudEvents\u003c/a\u003e attribute columns to the table: \u003ccode\u003e___id\u003c/code\u003e, \u003ccode\u003e___source\u003c/code\u003e, \u003ccode\u003e___subject\u003c/code\u003e, \u003ccode\u003e___type\u003c/code\u003e, and \u003ccode\u003e___time\u003c/code\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-dispatch\u003c/code\u003e: (optional) If set, the tool will add a table named \u003ccode\u003e_cloudevents_dispatch\u003c/code\u003e to the script or database, which serves as an ingestion and dispatch table for CloudEvents. The table has columns for the core CloudEvents attributes and a \u003ccode\u003edata\u003c/code\u003e column that holds the CloudEvents data. For each table in the Avrotize Schema, the tool will create an update policy that maps events whose \u003ccode\u003etype\u003c/code\u003e attribute matches the Avro type name to the respective table.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eOnly the Avro \u003ccode\u003erecord\u003c/code\u003e type can be mapped to a Kusto table. If the Avrotize Schema contains other types (like \u003ccode\u003eenum\u003c/code\u003e or \u003ccode\u003earray\u003c/code\u003e), the tool will ignore them.\u003c/li\u003e\n\u003cli\u003eOnly the first \u003ccode\u003erecord\u003c/code\u003e type in the Avrotize Schema is converted to a Kusto table. If the Avrotize Schema contains other \u003ccode\u003erecord\u003c/code\u003e types, they will be ignored. The \u003ccode\u003e--record-type\u003c/code\u003e option can be used to specify which \u003ccode\u003erecord\u003c/code\u003e type to convert.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to columns in the Kusto table. Fields that are records or arrays or maps are mapped to columns of type \u003ccode\u003edynamic\u003c/code\u003e in the Kusto table.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to SQL Schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-sql-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to SQL Schema\" href=\"#convert-avrotize-schema-to-sql-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2sql [input] --out \u0026lt;path_to_sql_script\u0026gt; --dialect \u0026lt;dialect\u0026gt;\"\u003e\u003cpre\u003eavrotize a2sql [input] --out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_sql_script\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e --dialect \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003edialect\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003einput\u003c/code\u003e: The path to the Avrotize schema file to be converted (or read from stdin if omitted).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the SQL script file to write the conversion result to.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--dialect\u003c/code\u003e: The SQL dialect (database type) to target. Supported dialects include:\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003emysql\u003c/code\u003e, \u003ccode\u003emariadb\u003c/code\u003e, \u003ccode\u003epostgres\u003c/code\u003e, \u003ccode\u003esqlserver\u003c/code\u003e, \u003ccode\u003eoracle\u003c/code\u003e, \u003ccode\u003esqlite\u003c/code\u003e, \u003ccode\u003ebigquery\u003c/code\u003e, \u003ccode\u003esnowflake\u003c/code\u003e, \u003ccode\u003eredshift\u003c/code\u003e, \u003ccode\u003edb2\u003c/code\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: (Optional) Add CloudEvents columns to the SQL table.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eFor detailed conversion rules and type mappings for each SQL dialect, refer to the \u003ca href=\"/clemensv/avrotize/blob/master/sqlcodegen.md\"\u003eSQL Conversion Notes\u003c/a\u003e document.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to MongoDB schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-mongodb-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to MongoDB schema\" href=\"#convert-avrotize-schema-to-mongodb-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2mongo \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_mongodb_schema\u0026gt;] [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2mongo \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_mongodb_schema\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the MongoDB schema file to write the conversion result to.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: (optional) If set, the tool will add \u003ca href=\"https://cloudevents.io\" rel=\"nofollow\"\u003eCloudEvents\u003c/a\u003e attribute columns to the MongoDB schema.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe fields of the Avro record type are mapped to fields in the MongoDB schema. Fields that are records or arrays or maps are mapped to fields of type \u003ccode\u003eobject\u003c/code\u003e.\u003c/li\u003e\n\u003cli\u003eThe emitted MongoDB schema file is a JSON file that can be used with MongoDB's \u003ccode\u003emongoimport\u003c/code\u003e tool to create a collection with the specified schema.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eHere are the \"Convert ...\" sections for the newly added commands:\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize schema to Cassandra schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-cassandra-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize schema to Cassandra schema\" href=\"#convert-avrotize-schema-to-cassandra-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2cassandra [input] --out \u0026lt;output_directory\u0026gt; [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2cassandra [input] --out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eoutput_directory\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003einput\u003c/code\u003e: Path to the Avrotize schema file (or read from stdin if omitted).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: Output path for the Cassandra schema (required).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: Add CloudEvents columns to the Cassandra schema (optional, default: false).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eRefer to the detailed conversion notes for Cassandra in the \u003ca href=\"/clemensv/avrotize/blob/master/nosqlcodegen.md\"\u003eNoSQL Conversion Notes\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize schema to DynamoDB schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-dynamodb-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize schema to DynamoDB schema\" href=\"#convert-avrotize-schema-to-dynamodb-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2dynamodb [input] --out \u0026lt;output_directory\u0026gt; [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2dynamodb [input] --out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eoutput_directory\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003einput\u003c/code\u003e: Path to the Avrotize schema file (or read from stdin if omitted).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: Output path for the DynamoDB schema (required).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: Add CloudEvents columns to the DynamoDB schema (optional, default: false).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eRefer to the detailed conversion notes for DynamoDB in the \u003ca href=\"/clemensv/avrotize/blob/master/nosqlcodegen.md\"\u003eNoSQL Conversion Notes\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize schema to Elasticsearch schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-elasticsearch-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize schema to Elasticsearch schema\" href=\"#convert-avrotize-schema-to-elasticsearch-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2es [input] --out \u0026lt;output_directory\u0026gt; [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2es [input] --out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eoutput_directory\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003einput\u003c/code\u003e: Path to the Avrotize schema file (or read from stdin if omitted).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: Output path for the Elasticsearch schema (required).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: Add CloudEvents columns to the Elasticsearch schema (optional, default: false).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eRefer to the detailed conversion notes for Elasticsearch in the \u003ca href=\"/clemensv/avrotize/blob/master/nosqlcodegen.md\"\u003eNoSQL Conversion Notes\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize schema to CouchDB schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-couchdb-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize schema to CouchDB schema\" href=\"#convert-avrotize-schema-to-couchdb-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2couchdb [input] --out \u0026lt;output_directory\u0026gt; [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2couchdb [input] --out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eoutput_directory\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003einput\u003c/code\u003e: Path to the Avrotize schema file (or read from stdin if omitted).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: Output path for the CouchDB schema (required).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: Add CloudEvents columns to the CouchDB schema (optional, default: false).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eRefer to the detailed conversion notes for CouchDB in the \u003ca href=\"/clemensv/avrotize/blob/master/nosqlcodegen.md\"\u003eNoSQL Conversion Notes\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize schema to Neo4j schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-neo4j-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize schema to Neo4j schema\" href=\"#convert-avrotize-schema-to-neo4j-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2neo4j [input] --out \u0026lt;output_directory\u0026gt; [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2neo4j [input] --out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eoutput_directory\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003einput\u003c/code\u003e: Path to the Avrotize schema file (or read from stdin if omitted).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: Output path for the Neo4j schema (required).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: Add CloudEvents columns to the Neo4j schema (optional, default: false).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eRefer to the detailed conversion notes for Neo4j in the \u003ca href=\"/clemensv/avrotize/blob/master/nosqlcodegen.md\"\u003eNoSQL Conversion Notes\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize schema to Firebase schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-firebase-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize schema to Firebase schema\" href=\"#convert-avrotize-schema-to-firebase-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2firebase [input] --out \u0026lt;output_directory\u0026gt; [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2firebase [input] --out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eoutput_directory\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003einput\u003c/code\u003e: Path to the Avrotize schema file (or read from stdin if omitted).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: Output path for the Firebase schema (required).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: Add CloudEvents columns to the Firebase schema (optional, default: false).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eRefer to the detailed conversion notes for Firebase in the \u003ca href=\"/clemensv/avrotize/blob/master/nosqlcodegen.md\"\u003eNoSQL Conversion Notes\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize schema to CosmosDB schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-cosmosdb-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize schema to CosmosDB schema\" href=\"#convert-avrotize-schema-to-cosmosdb-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2cosmos [input] --out \u0026lt;output_directory\u0026gt; [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2cosmos [input] --out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eoutput_directory\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003einput\u003c/code\u003e: Path to the Avrotize schema file (or read from stdin if omitted).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: Output path for the CosmosDB schema (required).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: Add CloudEvents columns to the CosmosDB schema (optional, default: false).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eRefer to the detailed conversion notes for CosmosDB in the \u003ca href=\"/clemensv/avrotize/blob/master/nosqlcodegen.md\"\u003eNoSQL Conversion Notes\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize schema to HBase schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-hbase-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize schema to HBase schema\" href=\"#convert-avrotize-schema-to-hbase-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2hbase [input] --out \u0026lt;output_directory\u0026gt; [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2hbase [input] --out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eoutput_directory\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003einput\u003c/code\u003e: Path to the Avrotize schema file (or read from stdin if omitted).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: Output path for the HBase schema (required).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: Add CloudEvents columns to the HBase schema (optional, default: false).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eRefer to the detailed conversion notes for HBase in the \u003ca href=\"/clemensv/avrotize/blob/master/nosqlcodegen.md\"\u003eNoSQL Conversion Notes\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to empty Parquet file\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-empty-parquet-file\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to empty Parquet file\" href=\"#convert-avrotize-schema-to-empty-parquet-file\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2pq \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_parquet_schema_file\u0026gt;] [--record-type \u0026lt;record-type-from-avro\u0026gt;] [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2pq \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_parquet_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--record-type \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003erecord-type-from-avro\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Parquet schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--record-type\u003c/code\u003e: (optional) The name of the Avro record type to convert to a Parquet schema.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: (optional) If set, the tool will add \u003ca href=\"https://cloudevents.io\" rel=\"nofollow\"\u003eCloudEvents\u003c/a\u003e attribute columns to the Parquet schema: \u003ccode\u003e__id\u003c/code\u003e, \u003ccode\u003e__source\u003c/code\u003e, \u003ccode\u003e__subject\u003c/code\u003e, \u003ccode\u003e__type\u003c/code\u003e, and \u003ccode\u003e__time\u003c/code\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe emitted Parquet file contains only the schema, no data rows.\u003c/li\u003e\n\u003cli\u003eThe tool only supports writing Parquet files for Avrotize Schema that describe a single \u003ccode\u003erecord\u003c/code\u003e type. If the Avrotize Schema contains a top-level union, the \u003ccode\u003e--record-type\u003c/code\u003e option must be used to specify which record type to emit.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to columns in the Parquet file. Array and record fields are mapped to Parquet nested types. Avro type unions are mapped to structures, not to Parquet unions since those are not supported by the PyArrow library used here.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to Iceberg schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-iceberg-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to Iceberg schema\" href=\"#convert-avrotize-schema-to-iceberg-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2ib \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_iceberg_schema_file\u0026gt;] [--record-type \u0026lt;record-type-from-avro\u0026gt;] [--emit-cloudevents-columns]\"\u003e\u003cpre\u003eavrotize a2ib \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_iceberg_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--record-type \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003erecord-type-from-avro\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--emit-cloudevents-columns]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Iceberg schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--record-type\u003c/code\u003e: (optional) The name of the Avro record type to convert to an Iceberg schema.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--emit-cloudevents-columns\u003c/code\u003e: (optional) If set, the tool will add \u003ca href=\"https://cloudevents.io\" rel=\"nofollow\"\u003eCloudEvents\u003c/a\u003e attribute columns to the Iceberg schema: \u003ccode\u003e__id\u003c/code\u003e, \u003ccode\u003e__source\u003c/code\u003e, \u003ccode\u003e__subject\u003c/code\u003e, \u003ccode\u003e__type\u003c/code\u003e, and \u003ccode\u003e__time\u003c/code\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe emitted Iceberg file contains only the schema, no data rows.\u003c/li\u003e\n\u003cli\u003eThe tool only supports writing Iceberg files for Avrotize Schema that describe a single \u003ccode\u003erecord\u003c/code\u003e type. If the Avrotize Schema contains a top-level union, the \u003ccode\u003e--record-type\u003c/code\u003e option must be used to specify which record type to emit.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to columns in the Iceberg file. Array and record fields are mapped to Iceberg nested types. Avro type unions are mapped to structures, not to Iceberg unions since those are not supported by the PyArrow library used here.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Parquet schema to Avrotize Schema\u003c/h3\u003e\u003ca id=\"user-content-convert-parquet-schema-to-avrotize-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Parquet schema to Avrotize Schema\" href=\"#convert-parquet-schema-to-avrotize-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize pq2a \u0026lt;path_to_parquet_file\u0026gt; [--out \u0026lt;path_to_avro_schema_file\u0026gt;] [--namespace \u0026lt;avro_schema_namespace\u0026gt;]\"\u003e\u003cpre\u003eavrotize pq2a \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_parquet_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--namespace \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eavro_schema_namespace\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_parquet_file\u0026gt;\u003c/code\u003e: The path to the Parquet file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--namespace\u003c/code\u003e: (optional) The namespace to use in the Avrotize Schema if the Parquet file does not define a namespace.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool reads the schema from the Parquet file and converts it to Avrotize Schema. The data in the Parquet file is not read or converted.\u003c/li\u003e\n\u003cli\u003eThe fields of the Parquet schema are mapped to fields in the Avrotize Schema. Nested fields are mapped to nested records in the Avrotize Schema.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert CSV file to Avrotize Schema\u003c/h3\u003e\u003ca id=\"user-content-convert-csv-file-to-avrotize-schema\" class=\"anchor\" aria-label=\"Permalink: Convert CSV file to Avrotize Schema\" href=\"#convert-csv-file-to-avrotize-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize csv2a \u0026lt;path_to_csv_file\u0026gt; [--out \u0026lt;path_to_avro_schema_file\u0026gt;] [--namespace \u0026lt;avro_schema_namespace\u0026gt;]\"\u003e\u003cpre\u003eavrotize csv2a \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_csv_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--namespace \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003eavro_schema_namespace\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_csv_file\u0026gt;\u003c/code\u003e: The path to the CSV file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--namespace\u003c/code\u003e: (optional) The namespace to use in the Avrotize Schema if the CSV file does not define a namespace.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool reads the CSV file and converts it to Avrotize Schema. The first row of the CSV file is assumed to be the header row, containing the field names.\u003c/li\u003e\n\u003cli\u003eThe fields of the CSV file are mapped to fields in the Avrotize Schema. The tool infers the types of the fields from the data in the CSV file.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Kafka Connect Schema to Avrotize Schema\u003c/h3\u003e\u003ca id=\"user-content-convert-kafka-connect-schema-to-avrotize-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Kafka Connect Schema to Avrotize Schema\" href=\"#convert-kafka-connect-schema-to-avrotize-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize kstruct2a [input] --out \u0026lt;path_to_avro_schema_file\u0026gt;\"\u003e\u003cpre\u003eavrotize kstruct2a [input] --out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003einput\u003c/code\u003e: The path to the Kafka Struct file to be converted (or read from stdin if omitted).\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Avrotize Schema file to write the conversion result to.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--kstruct\u003c/code\u003e: Deprecated: The path to the Kafka Struct file (for backward compatibility).\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool converts the Kafka Struct definition to an Avrotize Schema, mapping Kafka data types to their Avro equivalents.\u003c/li\u003e\n\u003cli\u003eKafka Structs are typically used to define data structures for Kafka Connect and other Kafka-based applications. This command facilitates interoperability by enabling the conversion of these definitions into Avro, which can be further used with various serialization and schema registry tools.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to C# classes\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-c-classes\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to C# classes\" href=\"#convert-avrotize-schema-to-c-classes\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2cs \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_csharp_dir\u0026gt;] [--namespace \u0026lt;csharp_namespace\u0026gt;] [--avro-annotation] [--system_text_json_annotation] [--newtonsoft-json-annotation] [--pascal-properties]\"\u003e\u003cpre\u003eavrotize a2cs \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_csharp_dir\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--namespace \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003ecsharp_namespace\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--avro-annotation] [--system_text_json_annotation] [--newtonsoft-json-annotation] [--pascal-properties]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the directory to write the C# classes to. Required.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--namespace\u003c/code\u003e: (optional) The namespace to use in the C# classes.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--avro-annotation\u003c/code\u003e: (optional) Use Avro annotations.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--system_text_json_annotation\u003c/code\u003e: (optional) Use System.Text.Json annotations.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--newtonsoft-json-annotation\u003c/code\u003e: (optional) Use Newtonsoft.Json annotations.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--pascal-properties\u003c/code\u003e: (optional) Use PascalCase properties.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates C# classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a C# class.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to properties in the C# class. Nested records are mapped to nested classes in the C# class.\u003c/li\u003e\n\u003cli\u003eThe tool supports adding annotations to the properties in the C# class. The \u003ccode\u003e--avro-annotation\u003c/code\u003e option adds Avro annotations, the \u003ccode\u003e--system_text_json_annotation\u003c/code\u003e option adds System.Text.Json annotations, and the \u003ccode\u003e--newtonsoft-json-annotation\u003c/code\u003e option adds Newtonsoft.Json annotations.\u003c/li\u003e\n\u003cli\u003eThe \u003ccode\u003e--pascal-properties\u003c/code\u003e option changes the naming convention of the properties to PascalCase.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to Java classes\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-java-classes\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to Java classes\" href=\"#convert-avrotize-schema-to-java-classes\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2java \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_java_dir\u0026gt;] [--package \u0026lt;java_package\u0026gt;] [--avro-annotation] [--jackson-annotation] [--pascal-properties]\"\u003e\u003cpre\u003eavrotize a2java \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_java_dir\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--package \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003ejava_package\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--avro-annotation] [--jackson-annotation] [--pascal-properties]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the directory to write the Java classes to. Required.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--package\u003c/code\u003e: (optional) The package to use in the Java classes.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--avro-annotation\u003c/code\u003e: (optional) Use Avro annotations.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--jackson-annotation\u003c/code\u003e: (optional) Use Jackson annotations.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--pascal-properties\u003c/code\u003e: (optional) Use PascalCase properties.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates Java classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Java class.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to properties in the Java class. Nested records are mapped to nested classes in the Java class.\u003c/li\u003e\n\u003cli\u003eThe tool supports adding annotations to the properties in the Java class. The \u003ccode\u003e--avro-annotation\u003c/code\u003e option adds Avro annotations, and the \u003ccode\u003e--jackson-annotation\u003c/code\u003e option adds Jackson annotations.\u003c/li\u003e\n\u003cli\u003eThe \u003ccode\u003e--pascal-properties\u003c/code\u003e option changes the naming convention of the properties to PascalCase.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to Python classes\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-python-classes\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to Python classes\" href=\"#convert-avrotize-schema-to-python-classes\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2py \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_python_dir\u0026gt;] [--package \u0026lt;python_package\u0026gt;] [--dataclasses-json-annotation] [--avro-annotation]\"\u003e\u003cpre\u003eavrotize a2py \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_python_dir\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--package \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epython_package\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--dataclasses-json-annotation] [--avro-annotation]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the directory to write the Python classes to. Required.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--package\u003c/code\u003e: (optional) The package to use in the Python classes.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--dataclasses-json-annotation\u003c/code\u003e: (optional) Use dataclasses-json annotations.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--avro-annotation\u003c/code\u003e: (optional) Use Avro annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates Python classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Python class.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to properties in the Python class. Nested records are mapped to nested classes in the Python class.\u003c/li\u003e\n\u003cli\u003eThe tool supports adding annotations to the properties in the Python class. The \u003ccode\u003e--dataclasses-json-annotation\u003c/code\u003e option adds dataclasses-json annotations, and the \u003ccode\u003e--avro-annotation\u003c/code\u003e option adds Avro annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to TypeScript classes\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-typescript-classes\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to TypeScript classes\" href=\"#convert-avrotize-schema-to-typescript-classes\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2ts \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_typescript_dir\u0026gt;] [--package \u0026lt;typescript_package\u0026gt;] [--avro-annotation] [--typedjson-annotation]\"\u003e\u003cpre\u003eavrotize a2ts \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_typescript_dir\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--package \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003etypescript_package\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--avro-annotation] [--typedjson-annotation]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the directory to write the TypeScript classes to. Required.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--package\u003c/code\u003e: (optional) The package to use in the TypeScript classes.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--avro-annotation\u003c/code\u003e: (optional) Use Avro annotations.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--typedjson-annotation\u003c/code\u003e: (optional) Use TypedJSON annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates TypeScript classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a TypeScript class.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to properties in the TypeScript class. Nested records are mapped to nested classes in the TypeScript class.\u003c/li\u003e\n\u003cli\u003eThe tool supports adding annotations to the properties in the TypeScript class. The \u003ccode\u003e--avro-annotation\u003c/code\u003e option adds Avro annotations, and the \u003ccode\u003e--typedjson-annotation\u003c/code\u003e option adds TypedJSON annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to JavaScript classes\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-javascript-classes\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to JavaScript classes\" href=\"#convert-avrotize-schema-to-javascript-classes\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2js \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_javascript_dir\u0026gt;] [--package \u0026lt;javascript_package\u0026gt;] [--avro-annotation]\"\u003e\u003cpre\u003eavrotize a2js \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_javascript_dir\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--package \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003ejavascript_package\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--avro-annotation]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the directory to write the JavaScript classes to. Required.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--package\u003c/code\u003e: (optional) The package to use in the JavaScript classes.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--avro-annotation\u003c/code\u003e: (optional) Use Avro annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates JavaScript classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a JavaScript class.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to properties in the JavaScript class. Nested records are mapped to nested classes in the JavaScript class.\u003c/li\u003e\n\u003cli\u003eThe tool supports adding annotations to the properties in the JavaScript class. The \u003ccode\u003e--avro-annotation\u003c/code\u003e option adds Avro annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to C++ classes\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-c-classes-1\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to C++ classes\" href=\"#convert-avrotize-schema-to-c-classes-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2cpp \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_cpp_dir\u0026gt;] [--namespace \u0026lt;cpp_namespace\u0026gt;] [--avro-annotation] [--json-annotation]\"\u003e\u003cpre\u003eavrotize a2cpp \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_cpp_dir\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--namespace \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003ecpp_namespace\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--avro-annotation] [--json-annotation]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the directory to write the C++ classes to. Required.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--namespace\u003c/code\u003e: (optional) The namespace to use in the C++ classes.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--avro-annotation\u003c/code\u003e: (optional) Use Avro annotations.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--json-annotation\u003c/code\u003e: (optional) Use JSON annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates C++ classes from the Avrotize Schema. Each record type in the Av\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003erotize Schema is converted to a C++ class.\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe fields of the record are mapped to properties in the C++ class. Nested records are mapped to nested classes in the C++ class.\u003c/li\u003e\n\u003cli\u003eThe tool supports adding annotations to the properties in the C++ class. The \u003ccode\u003e--avro-annotation\u003c/code\u003e option adds Avro annotations, and the \u003ccode\u003e--json-annotation\u003c/code\u003e option adds JSON annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to Go classes\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-go-classes\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to Go classes\" href=\"#convert-avrotize-schema-to-go-classes\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2go \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_go_dir\u0026gt;] [--package \u0026lt;go_package\u0026gt;] [--avro-annotation] [--json-annotation] [--package-site \u0026lt;go_package_site\u0026gt;] [--package-username \u0026lt;go_package_username\u0026gt;]\"\u003e\u003cpre\u003eavrotize a2go \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_go_dir\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--package \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003ego_package\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--avro-annotation] [--json-annotation] [--package-site \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003ego_package_site\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--package-username \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003ego_package_username\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the directory to write the Go classes to. Required.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--package\u003c/code\u003e: (optional) The package to use in the Go classes.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--package-site\u003c/code\u003e: (optional) The package site to use in the Go classes.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--package-username\u003c/code\u003e: (optional) The package username to use in the Go classes.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--avro-annotation\u003c/code\u003e: (optional) Use Avro annotations.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--json-annotation\u003c/code\u003e: (optional) Use JSON annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates Go classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Go class.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to properties in the Go class. Nested records are mapped to nested classes in the Go class.\u003c/li\u003e\n\u003cli\u003eThe tool supports adding annotations to the properties in the Go class. The \u003ccode\u003e--avro-annotation\u003c/code\u003e option adds Avro annotations, and the \u003ccode\u003e--json-annotation\u003c/code\u003e option adds JSON annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to Rust classes\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-rust-classes\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to Rust classes\" href=\"#convert-avrotize-schema-to-rust-classes\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2rust \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_rust_dir\u0026gt;] [--package \u0026lt;rust_package\u0026gt;] [--avro-annotation] [--serde-annotation]\"\u003e\u003cpre\u003eavrotize a2rust \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_rust_dir\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--package \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003erust_package\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--avro-annotation] [--serde-annotation]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the directory to write the Rust classes to. Required.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--package\u003c/code\u003e: (optional) The package to use in the Rust classes.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--avro-annotation\u003c/code\u003e: (optional) Use Avro annotations.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--serde-annotation\u003c/code\u003e: (optional) Use Serde annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates Rust classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Rust class.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to properties in the Rust class. Nested records are mapped to nested classes in the Rust class.\u003c/li\u003e\n\u003cli\u003eThe tool supports adding annotations to the properties in the Rust class. The \u003ccode\u003e--avro-annotation\u003c/code\u003e option adds Avro annotations, and the \u003ccode\u003e--serde-annotation\u003c/code\u003e option adds Serde annotations.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to Datapackage schema\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-datapackage-schema\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to Datapackage schema\" href=\"#convert-avrotize-schema-to-datapackage-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2dp \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_datapackage_file\u0026gt;] [--record-type \u0026lt;record-type-from-avro\u0026gt;]\"\u003e\u003cpre\u003eavrotize a2dp \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_datapackage_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e] [--record-type \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003erecord-type-from-avro\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Datapackage schema file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--record-type\u003c/code\u003e: (optional) The name of the Avro record type to convert to a Datapackage schema.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates a Datapackage schema from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Datapackage resource.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are mapped to fields in the Datapackage resource. Nested records are mapped to nested resources in the Datapackage.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eConvert Avrotize Schema to Markdown documentation\u003c/h3\u003e\u003ca id=\"user-content-convert-avrotize-schema-to-markdown-documentation\" class=\"anchor\" aria-label=\"Permalink: Convert Avrotize Schema to Markdown documentation\" href=\"#convert-avrotize-schema-to-markdown-documentation\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize a2md \u0026lt;path_to_avro_schema_file\u0026gt; [--out \u0026lt;path_to_markdown_file\u0026gt;]\"\u003e\u003cpre\u003eavrotize a2md \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e [--out \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_markdown_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e]\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003cli\u003e\u003ccode\u003e--out\u003c/code\u003e: The path to the Markdown file to write the conversion result to. If omitted, the output is directed to stdout.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates Markdown documentation from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Markdown section.\u003c/li\u003e\n\u003cli\u003eThe fields of the record are documented in a table in the Markdown section. Nested records are documented in nested sections in the Markdown file.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCreate the Parsing Canonical Form (PCF) of an Avrotize schema\u003c/h3\u003e\u003ca id=\"user-content-create-the-parsing-canonical-form-pcf-of-an-avrotize-schema\" class=\"anchor\" aria-label=\"Permalink: Create the Parsing Canonical Form (PCF) of an Avrotize schema\" href=\"#create-the-parsing-canonical-form-pcf-of-an-avrotize-schema\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"avrotize pcf \u0026lt;path_to_avro_schema_file\u0026gt;\"\u003e\u003cpre\u003eavrotize pcf \u003cspan class=\"pl-k\"\u003e\u0026lt;\u003c/span\u003epath_to_avro_schema_file\u003cspan class=\"pl-k\"\u003e\u0026gt;\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eParameters:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ccode\u003e\u0026lt;path_to_avro_schema_file\u0026gt;\u003c/code\u003e: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eConversion notes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eThe tool generates the Parsing Canonical Form (PCF) of the Avrotize Schema. The PCF is a normalized form of the schema that is used for schema comparison and compatibility checking.\u003c/li\u003e\n\u003cli\u003eThe PCF is a JSON object that is written to stdout.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eThis document provides an overview of the usage and functionality of Avrotize. For more detailed information, please refer to the \u003ca href=\"/clemensv/avrotize/blob/master/specs/avrotize-schema.md\"\u003eAvrotize Schema documentation\u003c/a\u003e and the individual command help messages.\u003c/p\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"Avrotize","anchor":"avrotize","htmlText":"Avrotize"},{"level":2,"text":"Installation","anchor":"installation","htmlText":"Installation"},{"level":2,"text":"Usage","anchor":"usage","htmlText":"Usage"},{"level":2,"text":"Overview","anchor":"overview","htmlText":"Overview"},{"level":2,"text":"Why?","anchor":"why","htmlText":"Why?"},{"level":2,"text":"Avrotize Schema","anchor":"avrotize-schema","htmlText":"Avrotize Schema"},{"level":2,"text":"Adding CloudEvents columns for database tables","anchor":"adding-cloudevents-columns-for-database-tables","htmlText":"Adding CloudEvents columns for database tables"},{"level":3,"text":"Convert Proto schema to Avrotize Schema","anchor":"convert-proto-schema-to-avrotize-schema","htmlText":"Convert Proto schema to Avrotize Schema"},{"level":3,"text":"Convert Avrotize Schema to Proto schema","anchor":"convert-avrotize-schema-to-proto-schema","htmlText":"Convert Avrotize Schema to Proto schema"},{"level":3,"text":"Convert JSON schema to Avrotize Schema","anchor":"convert-json-schema-to-avrotize-schema","htmlText":"Convert JSON schema to Avrotize Schema"},{"level":3,"text":"Convert Avrotize Schema to JSON schema","anchor":"convert-avrotize-schema-to-json-schema","htmlText":"Convert Avrotize Schema to JSON schema"},{"level":3,"text":"Convert XML Schema (XSD) to Avrotize Schema","anchor":"convert-xml-schema-xsd-to-avrotize-schema","htmlText":"Convert XML Schema (XSD) to Avrotize Schema"},{"level":3,"text":"Convert Avrotize Schema to XML schema","anchor":"convert-avrotize-schema-to-xml-schema","htmlText":"Convert Avrotize Schema to XML schema"},{"level":3,"text":"Convert ASN.1 schema to Avrotize Schema","anchor":"convert-asn1-schema-to-avrotize-schema","htmlText":"Convert ASN.1 schema to Avrotize Schema"},{"level":3,"text":"Convert Kusto table definition to Avrotize Schema","anchor":"convert-kusto-table-definition-to-avrotize-schema","htmlText":"Convert Kusto table definition to Avrotize Schema"},{"level":3,"text":"Convert Avrotize Schema to Kusto table declaration","anchor":"convert-avrotize-schema-to-kusto-table-declaration","htmlText":"Convert Avrotize Schema to Kusto table declaration"},{"level":3,"text":"Convert Avrotize Schema to SQL Schema","anchor":"convert-avrotize-schema-to-sql-schema","htmlText":"Convert Avrotize Schema to SQL Schema"},{"level":3,"text":"Convert Avrotize Schema to MongoDB schema","anchor":"convert-avrotize-schema-to-mongodb-schema","htmlText":"Convert Avrotize Schema to MongoDB schema"},{"level":3,"text":"Convert Avrotize schema to Cassandra schema","anchor":"convert-avrotize-schema-to-cassandra-schema","htmlText":"Convert Avrotize schema to Cassandra schema"},{"level":3,"text":"Convert Avrotize schema to DynamoDB schema","anchor":"convert-avrotize-schema-to-dynamodb-schema","htmlText":"Convert Avrotize schema to DynamoDB schema"},{"level":3,"text":"Convert Avrotize schema to Elasticsearch schema","anchor":"convert-avrotize-schema-to-elasticsearch-schema","htmlText":"Convert Avrotize schema to Elasticsearch schema"},{"level":3,"text":"Convert Avrotize schema to CouchDB schema","anchor":"convert-avrotize-schema-to-couchdb-schema","htmlText":"Convert Avrotize schema to CouchDB schema"},{"level":3,"text":"Convert Avrotize schema to Neo4j schema","anchor":"convert-avrotize-schema-to-neo4j-schema","htmlText":"Convert Avrotize schema to Neo4j schema"},{"level":3,"text":"Convert Avrotize schema to Firebase schema","anchor":"convert-avrotize-schema-to-firebase-schema","htmlText":"Convert Avrotize schema to Firebase schema"},{"level":3,"text":"Convert Avrotize schema to CosmosDB schema","anchor":"convert-avrotize-schema-to-cosmosdb-schema","htmlText":"Convert Avrotize schema to CosmosDB schema"},{"level":3,"text":"Convert Avrotize schema to HBase schema","anchor":"convert-avrotize-schema-to-hbase-schema","htmlText":"Convert Avrotize schema to HBase schema"},{"level":3,"text":"Convert Avrotize Schema to empty Parquet file","anchor":"convert-avrotize-schema-to-empty-parquet-file","htmlText":"Convert Avrotize Schema to empty Parquet file"},{"level":3,"text":"Convert Avrotize Schema to Iceberg schema","anchor":"convert-avrotize-schema-to-iceberg-schema","htmlText":"Convert Avrotize Schema to Iceberg schema"},{"level":3,"text":"Convert Parquet schema to Avrotize Schema","anchor":"convert-parquet-schema-to-avrotize-schema","htmlText":"Convert Parquet schema to Avrotize Schema"},{"level":3,"text":"Convert CSV file to Avrotize Schema","anchor":"convert-csv-file-to-avrotize-schema","htmlText":"Convert CSV file to Avrotize Schema"},{"level":3,"text":"Convert Kafka Connect Schema to Avrotize Schema","anchor":"convert-kafka-connect-schema-to-avrotize-schema","htmlText":"Convert Kafka Connect Schema to Avrotize Schema"},{"level":3,"text":"Convert Avrotize Schema to C# classes","anchor":"convert-avrotize-schema-to-c-classes","htmlText":"Convert Avrotize Schema to C# classes"},{"level":3,"text":"Convert Avrotize Schema to Java classes","anchor":"convert-avrotize-schema-to-java-classes","htmlText":"Convert Avrotize Schema to Java classes"},{"level":3,"text":"Convert Avrotize Schema to Python classes","anchor":"convert-avrotize-schema-to-python-classes","htmlText":"Convert Avrotize Schema to Python classes"},{"level":3,"text":"Convert Avrotize Schema to TypeScript classes","anchor":"convert-avrotize-schema-to-typescript-classes","htmlText":"Convert Avrotize Schema to TypeScript classes"},{"level":3,"text":"Convert Avrotize Schema to JavaScript classes","anchor":"convert-avrotize-schema-to-javascript-classes","htmlText":"Convert Avrotize Schema to JavaScript classes"},{"level":3,"text":"Convert Avrotize Schema to C++ classes","anchor":"convert-avrotize-schema-to-c-classes-1","htmlText":"Convert Avrotize Schema to C++ classes"},{"level":3,"text":"Convert Avrotize Schema to Go classes","anchor":"convert-avrotize-schema-to-go-classes","htmlText":"Convert Avrotize Schema to Go classes"},{"level":3,"text":"Convert Avrotize Schema to Rust classes","anchor":"convert-avrotize-schema-to-rust-classes","htmlText":"Convert Avrotize Schema to Rust classes"},{"level":3,"text":"Convert Avrotize Schema to Datapackage schema","anchor":"convert-avrotize-schema-to-datapackage-schema","htmlText":"Convert Avrotize Schema to Datapackage schema"},{"level":3,"text":"Convert Avrotize Schema to Markdown documentation","anchor":"convert-avrotize-schema-to-markdown-documentation","htmlText":"Convert Avrotize Schema to Markdown documentation"},{"level":3,"text":"Create the Parsing Canonical Form (PCF) of an Avrotize schema","anchor":"create-the-parsing-canonical-form-pcf-of-an-avrotize-schema","htmlText":"Create the Parsing Canonical Form (PCF) of an Avrotize 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2Zm1-6a1 1 0 1 1-2 0 1 1 0 0 1 2 0ZM2 4a1 1 0 1 1 0-2 1 1 0 0 1 0 2Z"></path></svg></button></div><div class="Box-sc-g0xbh4-0 QkQOb js-snippet-clipboard-copy-unpositioned undefined" data-hpc="true"><article class="markdown-body entry-content container-lg" itemprop="text"><div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Avrotize</h1><a id="user-content-avrotize" class="anchor" aria-label="Permalink: Avrotize" href="#avrotize"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Avrotize is a <a href="https://en.wikipedia.org/wiki/Rosetta_Stone" rel="nofollow">"Rosetta Stone"</a> for data structure definitions, allowing you to convert between numerous data and database schema formats and to generate code for different programming languages.</p> <p dir="auto">It is, for instance, a well-documented and predictable converter and code generator for data structures originally defined in JSON Schema (of arbitrary complexity).</p> <p dir="auto">The tool leans on the Apache Avro-derived <a href="/clemensv/avrotize/blob/master/specs/avrotize-schema.md">Avrotize Schema</a> as its schema model.</p> <ul dir="auto"> <li>Programming languages: Python, C#, Java, TypeScript, JavaScript, Rust, Go, C++</li> <li>SQL Databases: MySQL, MariaDB, PostgreSQL, SQL Server, Oracle, SQLite, BigQuery, Snowflake, Redshift, DB2</li> <li>Other databases: KQL/Kusto, MongoDB, Cassandra, Redis, Elasticsearch, DynamoDB, CosmosDB</li> <li>Data schema formats: Avro, JSON Schema, XML Schema (XSD), Protocol Buffers 2 and 3, ASN.1, Apache Parquet</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Installation</h2><a id="user-content-installation" class="anchor" aria-label="Permalink: Installation" href="#installation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">You can install Avrotize from PyPI, <a href="https://www.python.org/downloads/" rel="nofollow">having installed Python 3.10 or later</a>:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install avrotize"><pre>pip install avrotize</pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Usage</h2><a id="user-content-usage" class="anchor" aria-label="Permalink: Usage" href="#usage"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Avrotize provides several commands for converting schema formats via Avrotize Schema.</p> <p dir="auto">Converting to Avrotize Schema:</p> <ul dir="auto"> <li><a href="#convert-proto-schema-to-avrotize-schema"><code>avrotize p2a</code></a> - Convert Protobuf (2 or 3) schema to Avrotize Schema.</li> <li><a href="#convert-json-schema-to-avrotize-schema"><code>avrotize j2a</code></a> - Convert JSON schema to Avrotize Schema.</li> <li><a href="#convert-xml-schema-xsd-to-avrotize-schema"><code>avrotize x2a</code></a> - Convert XML schema to Avrotize Schema.</li> <li><a href="#convert-asn1-schema-to-avrotize-schema"><code>avrotize asn2a</code></a> - Convert ASN.1 to Avrotize Schema.</li> <li><a href="#convert-kusto-table-definition-to-avrotize-schema"><code>avrotize k2a</code></a> - Convert Kusto table definitions to Avrotize Schema.</li> <li><a href="#convert-parquet-schema-to-avrotize-schema"><code>avrotize pq2a</code></a> - Convert Parquet schema to Avrotize Schema.</li> <li><a href="#convert-csv-file-to-avrotize-schema"><code>avrotize csv2a</code></a> - Convert CSV file to Avrotize Schema.</li> <li><a href="#convert-kafka-connect-schema-to-avrotize-schema"><code>avrotize kstruct2a</code></a> - Convert Kafka Connect Schema to Avrotize Schema.</li> </ul> <p dir="auto">Converting from Avrotize Schema:</p> <ul dir="auto"> <li><a href="#convert-avrotize-schema-to-proto-schema"><code>avrotize a2p</code></a> - Convert Avrotize Schema to Protobuf 3 schema.</li> <li><a href="#convert-avrotize-schema-to-json-schema"><code>avrotize a2j</code></a> - Convert Avrotize Schema to JSON schema.</li> <li><a href="#convert-avrotize-schema-to-xml-schema"><code>avrotize a2x</code></a> - Convert Avrotize Schema to XML schema.</li> <li><a href="#convert-avrotize-schema-to-kusto-table-declaration"><code>avrotize a2k</code></a> - Convert Avrotize Schema to Kusto table definition.</li> <li><a href="#convert-avrotize-schema-to-sql-table-definition"><code>avrotize a2sql</code></a> - Convert Avrotize Schema to SQL table definition.</li> <li><a href="#convert-avrotize-schema-to-empty-parquet-file"><code>avrotize a2pq</code></a> - Convert Avrotize Schema to Parquet or Iceberg schema.</li> <li><a href="#convert-avrotize-schema-to-iceberg-schema"><code>avrotize a2ib</code></a> - Convert Avrotize Schema to Iceberg schema.</li> <li><a href="#convert-avrotize-schema-to-mongodb-schema"><code>avrotize a2mongo</code></a> - Convert Avrotize Schema to MongoDB schema.</li> <li><a href="#convert-avrotize-schema-to-cassandra-schema"><code>avrotize a2cassandra</code></a> - Convert Avrotize Schema to Cassandra schema.</li> <li><a href="#convert-avrotize-schema-to-elasticsearch-schema"><code>avrotize a2es</code></a> - Convert Avrotize Schema to Elasticsearch schema.</li> <li><a href="#convert-avrotize-schema-to-dynamodb-schema"><code>avrotize a2dynamodb</code></a> - Convert Avrotize Schema to DynamoDB schema.</li> <li><a href="#convert-avrotize-schema-to-cosmosdb-schema"><code>avrotize a2cosmos</code></a> - Convert Avrotize Schema to CosmosDB schema.</li> <li><a href="#convert-avrotize-schema-to-couchdb-schema"><code>avrotize a2couchdb</code></a> - Convert Avrotize Schema to CouchDB schema.</li> <li><a href="#convert-avrotize-schema-to-firebase-schema"><code>avrotize a2firebase</code></a> - Convert Avrotize Schema to Firebase schema.</li> <li><a href="#convert-avrotize-schema-to-hbase-schema"><code>avrotize a2hbase</code></a> - Convert Avrotize Schema to HBase schema.</li> <li><a href="#convert-avrotize-schema-to-neo4j-schema"><code>avrotize a2neo4j</code></a> - Convert Avrotize Schema to Neo4j schema.</li> <li><a href="#convert-avrotize-schema-to-datapackage-schema"><code>avrotize a2dp</code></a> - Convert Avrotize Schema to Datapackage schema.</li> <li><a href="#convert-avrotize-schema-to-markdown-documentation"><code>avrotize a2md</code></a> - Convert Avrotize Schema to Markdown documentation.</li> </ul> <p dir="auto">Generate code from Avrotize Schema:</p> <ul dir="auto"> <li><a href="#convert-avrotize-schema-to-c-classes"><code>avrotize a2cs</code></a> - Generate C# code from Avrotize Schema.</li> <li><a href="#convert-avrotize-schema-to-java-classes"><code>avrotize a2java</code></a> - Generate Java code from Avrotize Schema.</li> <li><a href="#convert-avrotize-schema-to-python-classes"><code>avrotize a2py</code></a> - Generate Python code from Avrotize Schema.</li> <li><a href="#convert-avrotize-schema-to-typescript-classes"><code>avrotize a2ts</code></a> - Generate TypeScript code from Avrotize Schema.</li> <li><a href="#convert-avrotize-schema-to-javascript-classes"><code>avrotize a2js</code></a> - Generate JavaScript code from Avrotize Schema.</li> <li><a href="#convert-avrotize-schema-to-c-classes"><code>avrotize a2cpp</code></a> - Generate C++ code from Avrotize Schema.</li> <li><a href="#convert-avrotize-schema-to-go-classes"><code>avrotize a2go</code></a> - Generate Go code from Avrotize Schema.</li> <li><a href="#convert-avrotize-schema-to-rust-classes"><code>avrotize a2rust</code></a> - Generate Rust code from Avrotize Schema.</li> </ul> <p dir="auto">Other commands:</p> <ul dir="auto"> <li><a href="#create-the-parsing-canonical-form-pcf-of-an-avrotize-schema"><code>avrotize pcf</code></a> - Create the Parsing Canonical Form (PCF) of an Avrotize Schema.</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Overview</h2><a id="user-content-overview" class="anchor" aria-label="Permalink: Overview" href="#overview"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">You can use Avrotize to convert between Avro/Avrotize Schema and other schema formats like JSON Schema, XML Schema (XSD), Protocol Buffers (Protobuf), ASN.1, and database schema formats like Kusto Data Table Definition (KQL) and SQL Table Definition. That means you can also convert from JSON Schema to Protobuf going via Avrotize Schema.</p> <p dir="auto">You can also generate C#, Java, TypeScript, JavaScript, and Python code from Avrotize Schema documents. The difference to the native Avro tools is that Avrotize can emit data classes without Avro library dependencies and, optionally, with annotations for JSON serialization libraries like Jackson or System.Text.Json.</p> <p dir="auto">The tool does not convert data (instances of schemas), only the data structure definitions.</p> <p dir="auto">Mind that the primary objective of the tool is the conversion of schemas that describe data structures used in applications, databases, and message systems. While the project's internal tests do cover a lot of ground, it is nevertheless not a primary goal of the tool to convert every complex document schema like those used for devops pipeline or system configuration files.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Why?</h2><a id="user-content-why" class="anchor" aria-label="Permalink: Why?" href="#why"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Data structure definitions are an essential part of data exchange, serialization, and storage. They define the shape and type of data, and they are foundational for tooling and libraries for working with the data. Nearly all data schema languages are coupled to a specific data exchange or storage format, locking the definitions to that format.</p> <p dir="auto">Avrotize is designed as a tool to "unlock" data definitions from JSON Schema or XML Schema and make them usable in other contexts. The intent is also to lay a foundation for transcoding data from one format to another, by translating the schema definitions as accurately as possible into the schema model of the target format's schema. The transcoding of the data itself requires separate tools that are beyond the scope of this project.</p> <p dir="auto">The use of the term "data structure definition" and not "data object definition" is quite intentional. The focus of the tool is on data structures that can be used for messaging and eventing payloads, for data serialization, and for database tables, with the goal that those structures can be mapped cleanly from and to common programming language types.</p> <p dir="auto">Therefore, Avrotize intentionally ignores common techniques to model object-oriented inheritance. For instance, when converting from JSON Schema, all content from <code>allOf</code> expressions is merged into a single record type rather than trying to model the inheritance tree in Avro.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Avrotize Schema</h2><a id="user-content-avrotize-schema" class="anchor" aria-label="Permalink: Avrotize Schema" href="#avrotize-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Avrotize Schema is a schema model that is a full superset of the popular Apache Avro Schema model. Avrotize Schema is the "pivot point" for this tool. All schemas are converted from and to Avrotize Schema.</p> <p dir="auto">Since Avrotize Schema is a superset of Avro Schema and uses its extensibility features, every Avrotize Schema is also a valid Avro Schema and vice versa.</p> <p dir="auto">Why did we pick Avro Schema as the foundational schema model?</p> <p dir="auto">Avro Schema ...</p> <ul dir="auto"> <li>provides a simple, clean, and concise way to define data structures. It is quite easy to understand and use.</li> <li>is self-contained by design without having or requiring external references. Avro Schema can express complex data structure hierarchies spanning multiple namespace boundaries all in a single file, which neither JSON Schema nor XML Schema nor Protobuf can do.</li> <li>can be resolved by code generators and other tools "top-down" since it enforces dependencies to be ordered such that no forward-referencing occurs.</li> <li>emerged out of the Apache Hadoop ecosystem and is widely used for serialization and storage of data and for data exchange between systems.</li> <li>supports native and logical types that cover the needs of many business and technical use cases.</li> <li>can describe the popular JSON data encoding very well and in a way that always maps cleanly to a wide range of programming languages and systems. In contrast, it's quite easy to inadvertently define a JSON Schema that is very difficult to map to a programming language structure.</li> <li>is itself expressed as JSON. That makes it easy to parse and generate, which is not the case for Protobuf or ASN.1, which require bespoke parsers.</li> </ul> <blockquote> <p dir="auto">It needs to be noted here that while Avro Schema is great for defining data structures, and data classes generated from Avro Schema using this tool or other tools can be used to with the most popular JSON serialization libraries, the Apache Avro project's own JSON encoding has fairly grave interoperability issues with common usage of JSON. Avrotize defines an alternate JSON encoding</p> </blockquote> <p dir="auto">in <a href="/clemensv/avrotize/blob/master/specs/avrojson.md"><code>avrojson.md</code></a>.</p> <p dir="auto">Avro Schema does not support all the bells and whistles of XML Schema or JSON Schema, but that is a feature, not a bug, as it ensures the portability of the schemas across different systems and infrastructures. Specifically, Avro Schema does not support many of the data validation features found in JSON Schema or XML Schema. There are no <code>pattern</code>, <code>format</code>, <code>minimum</code>, <code>maximum</code>, or <code>required</code> keywords in Avro Schema, and Avro does not support conditional validation.</p> <p dir="auto">In a system where data originates as XML or JSON described by a validating XML Schema or JSON Schema, the assumption we make here is that data will be validated using its native schema language first, and then the Avro Schema will be used for transformation or transfer or storage.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Adding CloudEvents columns for database tables</h2><a id="user-content-adding-cloudevents-columns-for-database-tables" class="anchor" aria-label="Permalink: Adding CloudEvents columns for database tables" href="#adding-cloudevents-columns-for-database-tables"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">When converting Avrotize Schema to Kusto Data Table Definition (KQL), SQL Table Definition, or Parquet Schema, the tool can add special columns for <a href="https://cloudevents.io" rel="nofollow">CloudEvents</a> attributes. CNCF CloudEvents is a specification for describing event data in a common way.</p> <p dir="auto">The rationale for adding such columns to database tables is that messages and events commonly separate event metadata from the payload data, while that information is merged when events are projected into a database. The metadata often carries important context information about the event that is not contained in the payload itself. Therefore, the tool can add those columns to the database tables for easy alignment of the message context with the payload when building event stores.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Proto schema to Avrotize Schema</h3><a id="user-content-convert-proto-schema-to-avrotize-schema" class="anchor" aria-label="Permalink: Convert Proto schema to Avrotize Schema" href="#convert-proto-schema-to-avrotize-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize p2a <path_to_proto_file> [--out <path_to_avro_schema_file>]"><pre>avrotize p2a <span class="pl-k"><</span>path_to_proto_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span>]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_proto_file></code>: The path to the Protobuf schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>Proto 2 and Proto 3 syntax are supported.</li> <li>Proto package names are mapped to Avro namespaces. The tool does resolve imports and consolidates all imported types into a single Avrotize Schema file.</li> <li>The tool embeds all 'well-known' Protobuf 3.0 types in Avro format and injects them as needed when the respective types are imported. Only the <code>Timestamp</code> type is mapped to the Avro logical type 'timestamp-millis'. The rest of the well-known Protobuf types are kept as Avro record types with the same field names and types.</li> <li>Protobuf allows any scalar type as key in a <code>map</code>, Avro does not. When converting from Proto to Avro, the type information for the map keys is ignored.</li> <li>The field numbers in message types are not mapped to the positions of the fields in Avro records. The fields in Avro are ordered as they appear in the Proto schema. Consequently, the Avrotize Schema also ignores the <code>extensions</code> and <code>reserved</code> keywords in the Proto schema.</li> <li>The <code>optional</code> keyword results in an Avro field being nullable (union with the <code>null</code> type), while the <code>required</code> keyword results in a non-nullable field. The <code>repeated</code> keyword results in an Avro field being an array of the field type.</li> <li>The <code>oneof</code> keyword in Proto is mapped to an Avro union type.</li> <li>All <code>options</code> in the Proto schema are ignored.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to Proto schema</h3><a id="user-content-convert-avrotize-schema-to-proto-schema" class="anchor" aria-label="Permalink: Convert Avrotize Schema to Proto schema" href="#convert-avrotize-schema-to-proto-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2p <path_to_avro_schema_file> [--out <path_to_proto_directory>] [--naming <naming_mode>] [--allow-optional]"><pre>avrotize a2p <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_proto_directory<span class="pl-k">></span>] [--naming <span class="pl-k"><</span>naming_mode<span class="pl-k">></span>] [--allow-optional]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Protobuf schema directory to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--naming</code>: (optional) Type naming convention. Choices are <code>snake</code>, <code>camel</code>, <code>pascal</code>.</li> <li><code>--allow-optional</code>: (optional) Enable support for 'optional' fields.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>Avro namespaces are resolved into distinct proto package definitions. The tool will create a new <code>.proto</code> file with the package definition and an <code>import</code> statement for each namespace found in the Avrotize Schema.</li> <li>Avro type unions <code>[]</code> are converted to <code>oneof</code> expressions in Proto. Avro allows for maps and arrays in the type union, whereas Proto only supports scalar types and message type references. The tool will therefore emit message types containing a single array or map field for any such case and add it to the containing type, and will also recursively resolve further unions in the array and map values.</li> <li>The sequence of fields in a message follows the sequence of fields in the Avro record. When type unions need to be resolved into <code>oneof</code> expressions, the alternative fields need to be assigned field numbers, which will shift the field numbers for any subsequent fields.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert JSON schema to Avrotize Schema</h3><a id="user-content-convert-json-schema-to-avrotize-schema" class="anchor" aria-label="Permalink: Convert JSON schema to Avrotize Schema" href="#convert-json-schema-to-avrotize-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize j2a <path_to_json_schema_file> [--out <path_to_avro_schema_file>] [--namespace <avro_schema_namespace>] [--split-top-level-records]"><pre>avrotize j2a <span class="pl-k"><</span>path_to_json_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span>] [--namespace <span class="pl-k"><</span>avro_schema_namespace<span class="pl-k">></span>] [--split-top-level-records]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_json_schema_file></code>: The path to the JSON schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--namespace</code>: (optional) The namespace to use in the Avrotize Schema if the JSON schema does not define a namespace.</li> <li><code>--split-top-level-records</code>: (optional) Split top-level records into separate files.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li><a href="/clemensv/avrotize/blob/master/specs/jsonschema.md">JSON Schema Handling in Avrotize</a></li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to JSON schema</h3><a id="user-content-convert-avrotize-schema-to-json-schema" class="anchor" aria-label="Permalink: Convert Avrotize Schema to JSON schema" href="#convert-avrotize-schema-to-json-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2j <path_to_avro_schema_file> [--out <path_to_json_schema_file>] [--naming <naming_mode>]"><pre>avrotize a2j <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_json_schema_file<span class="pl-k">></span>] [--naming <span class="pl-k"><</span>naming_mode<span class="pl-k">></span>]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the JSON schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--naming</code>: (optional) Type naming convention. Choices are <code>snake</code>, <code>camel</code>, <code>pascal</code>, <code>default</code>.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li><a href="/clemensv/avrotize/blob/master/specs/jsonschema.md">JSON Schema Handling in Avrotize</a></li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert XML Schema (XSD) to Avrotize Schema</h3><a id="user-content-convert-xml-schema-xsd-to-avrotize-schema" class="anchor" aria-label="Permalink: Convert XML Schema (XSD) to Avrotize Schema" href="#convert-xml-schema-xsd-to-avrotize-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize x2a <path_to_xsd_file> [--out <path_to_avro_schema_file>] [--namespace <avro_schema_namespace>]"><pre>avrotize x2a <span class="pl-k"><</span>path_to_xsd_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span>] [--namespace <span class="pl-k"><</span>avro_schema_namespace<span class="pl-k">></span>]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_xsd_file></code>: The path to the XML schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--namespace</code>: (optional) The namespace to use in the Avrotize Schema if the XML schema does not define a namespace.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>All XML Schema constructs are mapped to Avro record types with fields, whereby <strong>both</strong>, elements and attributes, become fields in the record. XML is therefore flattened into fields and this aspect of the structure is not preserved.</li> <li>Avro does not support <code>xsd:any</code> as Avro does not support arbitrary typing and must always use a named type. The tool will map <code>xsd:any</code> to a field <code>any</code> typed as a union that allows scalar values or two levels of array and/or map nesting.</li> <li><code>simpleType</code> declarations that define enums are mapped to <code>enum</code> types in Avro. All other facets are ignored and simple types are mapped to the corresponding Avro type.</li> <li><code>complexType</code> declarations that have simple content where a base type is augmented with attributes is mapped to a record type in Avro. Any other facets defined on the complex type are ignored.</li> <li>If the schema defines a single root element, the tool will emit a single Avro record type. If the schema defines multiple root elements, the tool will emit a union of record types, each corresponding to a root element.</li> <li>All fields in the resulting Avrotize Schema are annotated with an <code>xmlkind</code> extension attribute that indicates whether the field was an <code>element</code> or an <code>attribute</code> in the XML schema.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to XML schema</h3><a id="user-content-convert-avrotize-schema-to-xml-schema" class="anchor" aria-label="Permalink: Convert Avrotize Schema to XML schema" href="#convert-avrotize-schema-to-xml-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2x <path_to_avro_schema_file> [--out <path_to_xsd_schema_file>] [--namespace <target_namespace>]"><pre>avrotize a2x <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_xsd_schema_file<span class="pl-k">></span>] [--namespace <span class="pl-k"><</span>target_namespace<span class="pl-k">></span>]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the XML schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--namespace</code>: (optional) Target namespace for the XSD schema.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>Avro record types are mapped to XML Schema complex types with elements.</li> <li>Avro enum types are mapped to XML Schema simple types with restrictions.</li> <li>Avro logical types are mapped to XML Schema simple types with restrictions where required.</li> <li>Avro unions are mapped to standalone XSD simple type definitions with a union restriction if all union types are primitives.</li> <li>Avro unions with complex types are resolved into distinct types for each option that are</li> </ul> <p dir="auto">then joined with a choice.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert ASN.1 schema to Avrotize Schema</h3><a id="user-content-convert-asn1-schema-to-avrotize-schema" class="anchor" aria-label="Permalink: Convert ASN.1 schema to Avrotize Schema" href="#convert-asn1-schema-to-avrotize-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize asn2a <path_to_asn1_schema_file>[,<path_to_asn1_schema_file>,...] [--out <path_to_avro_schema_file>]"><pre>avrotize asn2a <span class="pl-k"><</span>path_to_asn1_schema_file<span class="pl-k">></span>[,<span class="pl-k"><</span>path_to_asn1_schema_file<span class="pl-k">></span>,...] [--out <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span>]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_asn1_schema_file></code>: The path to the ASN.1 schema file to be converted. The tool supports multiple files in a comma-separated list. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>All ASN.1 types are mapped to Avro record types, enums, and unions. Avro does not support the same level of nesting of types as ASN.1, the tool will map the types to the best fit.</li> <li>The tool will map the following ASN.1 types to Avro types: <ul dir="auto"> <li><code>SEQUENCE</code> and <code>SET</code> are mapped to Avro record types.</li> <li><code>CHOICE</code> is mapped to an Avro record types with all fields being optional. While the <code>CHOICE</code> type technically corresponds to an Avro union, the ASN.1 type has different named fields for each option, which is not a feature of Avro unions.</li> <li><code>OBJECT IDENTIFIER</code> is mapped to an Avro string type.</li> <li><code>ENUMERATED</code> is mapped to an Avro enum type.</li> <li><code>SEQUENCE OF</code> and <code>SET OF</code> are mapped to Avro array type.</li> <li><code>BIT STRING</code> is mapped to Avro bytes type.</li> <li><code>OCTET STRING</code> is mapped to Avro bytes type.</li> <li><code>INTEGER</code> is mapped to Avro long type.</li> <li><code>REAL</code> is mapped to Avro double type.</li> <li><code>BOOLEAN</code> is mapped to Avro boolean type.</li> <li><code>NULL</code> is mapped to Avro null type.</li> <li><code>UTF8String</code>, <code>PrintableString</code>, <code>IA5String</code>, <code>BMPString</code>, <code>NumericString</code>, <code>TeletexString</code>, <code>VideotexString</code>, <code>GraphicString</code>, <code>VisibleString</code>, <code>GeneralString</code>, <code>UniversalString</code>, <code>CharacterString</code>, <code>T61String</code> are all mapped to Avro string type.</li> <li>All other ASN.1 types are mapped to Avro string type.</li> </ul> </li> <li>The ability to parse ASN.1 schema files is limited and the tool may not be able to parse all ASN.1 files. The tool is based on the Python asn1tools package and is limited to that package's capabilities.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Kusto table definition to Avrotize Schema</h3><a id="user-content-convert-kusto-table-definition-to-avrotize-schema" class="anchor" aria-label="Permalink: Convert Kusto table definition to Avrotize Schema" href="#convert-kusto-table-definition-to-avrotize-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize k2a --kusto-uri <kusto_cluster_uri> --kusto-database <kusto_database> [--out <path_to_avro_schema_file>] [--emit-cloudevents-xregistry]"><pre>avrotize k2a --kusto-uri <span class="pl-k"><</span>kusto_cluster_uri<span class="pl-k">></span> --kusto-database <span class="pl-k"><</span>kusto_database<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span>] [--emit-cloudevents-xregistry]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code>--kusto-uri</code>: The URI of the Kusto cluster to connect to.</li> <li><code>--kusto-database</code>: The name of the Kusto database to read the table definitions from.</li> <li><code>--out</code>: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--emit-cloudevents-xregistry</code>: (optional) See discussion below.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool directly connects to the Kusto cluster and reads the table definitions from the specified database. The tool will convert all tables in the database to Avro record types, returned in a top-level type union.</li> <li>Connecting to the Kusto cluster leans on the same authentication mechanisms as the Azure CLI. The tool will use the same authentication context as the Azure CLI if it is installed and authenticated.</li> <li>The tool will map the Kusto column types to Avro types as follows: <ul dir="auto"> <li><code>bool</code> is mapped to Avro boolean type.</li> <li><code>datetime</code> is mapped to Avro long type with logical type <code>timestamp-millis</code>.</li> <li><code>decimal</code> is mapped to a logical Avro type with the <code>logicalType</code> set to <code>decimal</code> and the <code>precision</code> and <code>scale</code> set to the values of the <code>decimal</code> type in Kusto.</li> <li><code>guid</code> is mapped to Avro string type.</li> <li><code>int</code> is mapped to Avro int type.</li> <li><code>long</code> is mapped to Avro long type.</li> <li><code>real</code> is mapped to Avro double type.</li> <li><code>string</code> is mapped to Avro string type.</li> <li><code>timespan</code> is mapped to a logical Avro type with the <code>logicalType</code> set to <code>duration</code>.</li> </ul> </li> <li>For <code>dynamic</code> columns, the tool will sample the data in the table to determine the structure of the dynamic column. The tool will map the dynamic column to an Avro record type with fields that correspond to the fields found in the dynamic column. If the dynamic column contains nested dynamic columns, the tool will recursively map those to Avro record types. If records with conflicting structures are found in the dynamic column, the tool will emit a union of record types for the dynamic column.</li> <li>If the <code>--emit-cloudevents-xregistry</code> option is set, the tool will emit an <a href="http://xregistry.io" rel="nofollow">xRegistry</a> registry manifest file with a CloudEvent message definition for each table in the Kusto database and a separate Avro Schema for each table in the embedded schema registry. If one or more tables are found to contain CloudEvent data (as indicated by the presence of the CloudEvents attribute columns), the tool will inspect the content of the <code>type</code> (or <code>__type</code> or <code>__type</code>) columns to determine which CloudEvent types have been stored in the table and will emit a CloudEvent definition and schema for each unique type.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to Kusto table declaration</h3><a id="user-content-convert-avrotize-schema-to-kusto-table-declaration" class="anchor" aria-label="Permalink: Convert Avrotize Schema to Kusto table declaration" href="#convert-avrotize-schema-to-kusto-table-declaration"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2k <path_to_avro_schema_file> [--out <path_to_kusto_kql_file>] [--record-type <record_type>] [--emit-cloudevents-columns] [--emit-cloudevents-dispatch]"><pre>avrotize a2k <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_kusto_kql_file<span class="pl-k">></span>] [--record-type <span class="pl-k"><</span>record_type<span class="pl-k">></span>] [--emit-cloudevents-columns] [--emit-cloudevents-dispatch]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Kusto KQL file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--record-type</code>: (optional) The name of the Avro record type to convert to a Kusto table.</li> <li><code>--emit-cloudevents-columns</code>: (optional) If set, the tool will add <a href="https://cloudevents.io" rel="nofollow">CloudEvents</a> attribute columns to the table: <code>___id</code>, <code>___source</code>, <code>___subject</code>, <code>___type</code>, and <code>___time</code>.</li> <li><code>--emit-cloudevents-dispatch</code>: (optional) If set, the tool will add a table named <code>_cloudevents_dispatch</code> to the script or database, which serves as an ingestion and dispatch table for CloudEvents. The table has columns for the core CloudEvents attributes and a <code>data</code> column that holds the CloudEvents data. For each table in the Avrotize Schema, the tool will create an update policy that maps events whose <code>type</code> attribute matches the Avro type name to the respective table.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>Only the Avro <code>record</code> type can be mapped to a Kusto table. If the Avrotize Schema contains other types (like <code>enum</code> or <code>array</code>), the tool will ignore them.</li> <li>Only the first <code>record</code> type in the Avrotize Schema is converted to a Kusto table. If the Avrotize Schema contains other <code>record</code> types, they will be ignored. The <code>--record-type</code> option can be used to specify which <code>record</code> type to convert.</li> <li>The fields of the record are mapped to columns in the Kusto table. Fields that are records or arrays or maps are mapped to columns of type <code>dynamic</code> in the Kusto table.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to SQL Schema</h3><a id="user-content-convert-avrotize-schema-to-sql-schema" class="anchor" aria-label="Permalink: Convert Avrotize Schema to SQL Schema" href="#convert-avrotize-schema-to-sql-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2sql [input] --out <path_to_sql_script> --dialect <dialect>"><pre>avrotize a2sql [input] --out <span class="pl-k"><</span>path_to_sql_script<span class="pl-k">></span> --dialect <span class="pl-k"><</span>dialect<span class="pl-k">></span></pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code>input</code>: The path to the Avrotize schema file to be converted (or read from stdin if omitted).</li> <li><code>--out</code>: The path to the SQL script file to write the conversion result to.</li> <li><code>--dialect</code>: The SQL dialect (database type) to target. Supported dialects include: <ul dir="auto"> <li><code>mysql</code>, <code>mariadb</code>, <code>postgres</code>, <code>sqlserver</code>, <code>oracle</code>, <code>sqlite</code>, <code>bigquery</code>, <code>snowflake</code>, <code>redshift</code>, <code>db2</code></li> </ul> </li> <li><code>--emit-cloudevents-columns</code>: (Optional) Add CloudEvents columns to the SQL table.</li> </ul> <p dir="auto">For detailed conversion rules and type mappings for each SQL dialect, refer to the <a href="/clemensv/avrotize/blob/master/sqlcodegen.md">SQL Conversion Notes</a> document.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to MongoDB schema</h3><a id="user-content-convert-avrotize-schema-to-mongodb-schema" class="anchor" aria-label="Permalink: Convert Avrotize Schema to MongoDB schema" href="#convert-avrotize-schema-to-mongodb-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2mongo <path_to_avro_schema_file> [--out <path_to_mongodb_schema>] [--emit-cloudevents-columns]"><pre>avrotize a2mongo <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_mongodb_schema<span class="pl-k">></span>] [--emit-cloudevents-columns]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the MongoDB schema file to write the conversion result to.</li> <li><code>--emit-cloudevents-columns</code>: (optional) If set, the tool will add <a href="https://cloudevents.io" rel="nofollow">CloudEvents</a> attribute columns to the MongoDB schema.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The fields of the Avro record type are mapped to fields in the MongoDB schema. Fields that are records or arrays or maps are mapped to fields of type <code>object</code>.</li> <li>The emitted MongoDB schema file is a JSON file that can be used with MongoDB's <code>mongoimport</code> tool to create a collection with the specified schema.</li> </ul> <p dir="auto">Here are the "Convert ..." sections for the newly added commands:</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize schema to Cassandra schema</h3><a id="user-content-convert-avrotize-schema-to-cassandra-schema" class="anchor" aria-label="Permalink: Convert Avrotize schema to Cassandra schema" href="#convert-avrotize-schema-to-cassandra-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2cassandra [input] --out <output_directory> [--emit-cloudevents-columns]"><pre>avrotize a2cassandra [input] --out <span class="pl-k"><</span>output_directory<span class="pl-k">></span> [--emit-cloudevents-columns]</pre></div> <ul dir="auto"> <li><code>input</code>: Path to the Avrotize schema file (or read from stdin if omitted).</li> <li><code>--out</code>: Output path for the Cassandra schema (required).</li> <li><code>--emit-cloudevents-columns</code>: Add CloudEvents columns to the Cassandra schema (optional, default: false).</li> </ul> <p dir="auto">Refer to the detailed conversion notes for Cassandra in the <a href="/clemensv/avrotize/blob/master/nosqlcodegen.md">NoSQL Conversion Notes</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize schema to DynamoDB schema</h3><a id="user-content-convert-avrotize-schema-to-dynamodb-schema" class="anchor" aria-label="Permalink: Convert Avrotize schema to DynamoDB schema" href="#convert-avrotize-schema-to-dynamodb-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2dynamodb [input] --out <output_directory> [--emit-cloudevents-columns]"><pre>avrotize a2dynamodb [input] --out <span class="pl-k"><</span>output_directory<span class="pl-k">></span> [--emit-cloudevents-columns]</pre></div> <ul dir="auto"> <li><code>input</code>: Path to the Avrotize schema file (or read from stdin if omitted).</li> <li><code>--out</code>: Output path for the DynamoDB schema (required).</li> <li><code>--emit-cloudevents-columns</code>: Add CloudEvents columns to the DynamoDB schema (optional, default: false).</li> </ul> <p dir="auto">Refer to the detailed conversion notes for DynamoDB in the <a href="/clemensv/avrotize/blob/master/nosqlcodegen.md">NoSQL Conversion Notes</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize schema to Elasticsearch schema</h3><a id="user-content-convert-avrotize-schema-to-elasticsearch-schema" class="anchor" aria-label="Permalink: Convert Avrotize schema to Elasticsearch schema" href="#convert-avrotize-schema-to-elasticsearch-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2es [input] --out <output_directory> [--emit-cloudevents-columns]"><pre>avrotize a2es [input] --out <span class="pl-k"><</span>output_directory<span class="pl-k">></span> [--emit-cloudevents-columns]</pre></div> <ul dir="auto"> <li><code>input</code>: Path to the Avrotize schema file (or read from stdin if omitted).</li> <li><code>--out</code>: Output path for the Elasticsearch schema (required).</li> <li><code>--emit-cloudevents-columns</code>: Add CloudEvents columns to the Elasticsearch schema (optional, default: false).</li> </ul> <p dir="auto">Refer to the detailed conversion notes for Elasticsearch in the <a href="/clemensv/avrotize/blob/master/nosqlcodegen.md">NoSQL Conversion Notes</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize schema to CouchDB schema</h3><a id="user-content-convert-avrotize-schema-to-couchdb-schema" class="anchor" aria-label="Permalink: Convert Avrotize schema to CouchDB schema" href="#convert-avrotize-schema-to-couchdb-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2couchdb [input] --out <output_directory> [--emit-cloudevents-columns]"><pre>avrotize a2couchdb [input] --out <span class="pl-k"><</span>output_directory<span class="pl-k">></span> [--emit-cloudevents-columns]</pre></div> <ul dir="auto"> <li><code>input</code>: Path to the Avrotize schema file (or read from stdin if omitted).</li> <li><code>--out</code>: Output path for the CouchDB schema (required).</li> <li><code>--emit-cloudevents-columns</code>: Add CloudEvents columns to the CouchDB schema (optional, default: false).</li> </ul> <p dir="auto">Refer to the detailed conversion notes for CouchDB in the <a href="/clemensv/avrotize/blob/master/nosqlcodegen.md">NoSQL Conversion Notes</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize schema to Neo4j schema</h3><a id="user-content-convert-avrotize-schema-to-neo4j-schema" class="anchor" aria-label="Permalink: Convert Avrotize schema to Neo4j schema" href="#convert-avrotize-schema-to-neo4j-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2neo4j [input] --out <output_directory> [--emit-cloudevents-columns]"><pre>avrotize a2neo4j [input] --out <span class="pl-k"><</span>output_directory<span class="pl-k">></span> [--emit-cloudevents-columns]</pre></div> <ul dir="auto"> <li><code>input</code>: Path to the Avrotize schema file (or read from stdin if omitted).</li> <li><code>--out</code>: Output path for the Neo4j schema (required).</li> <li><code>--emit-cloudevents-columns</code>: Add CloudEvents columns to the Neo4j schema (optional, default: false).</li> </ul> <p dir="auto">Refer to the detailed conversion notes for Neo4j in the <a href="/clemensv/avrotize/blob/master/nosqlcodegen.md">NoSQL Conversion Notes</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize schema to Firebase schema</h3><a id="user-content-convert-avrotize-schema-to-firebase-schema" class="anchor" aria-label="Permalink: Convert Avrotize schema to Firebase schema" href="#convert-avrotize-schema-to-firebase-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2firebase [input] --out <output_directory> [--emit-cloudevents-columns]"><pre>avrotize a2firebase [input] --out <span class="pl-k"><</span>output_directory<span class="pl-k">></span> [--emit-cloudevents-columns]</pre></div> <ul dir="auto"> <li><code>input</code>: Path to the Avrotize schema file (or read from stdin if omitted).</li> <li><code>--out</code>: Output path for the Firebase schema (required).</li> <li><code>--emit-cloudevents-columns</code>: Add CloudEvents columns to the Firebase schema (optional, default: false).</li> </ul> <p dir="auto">Refer to the detailed conversion notes for Firebase in the <a href="/clemensv/avrotize/blob/master/nosqlcodegen.md">NoSQL Conversion Notes</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize schema to CosmosDB schema</h3><a id="user-content-convert-avrotize-schema-to-cosmosdb-schema" class="anchor" aria-label="Permalink: Convert Avrotize schema to CosmosDB schema" href="#convert-avrotize-schema-to-cosmosdb-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2cosmos [input] --out <output_directory> [--emit-cloudevents-columns]"><pre>avrotize a2cosmos [input] --out <span class="pl-k"><</span>output_directory<span class="pl-k">></span> [--emit-cloudevents-columns]</pre></div> <ul dir="auto"> <li><code>input</code>: Path to the Avrotize schema file (or read from stdin if omitted).</li> <li><code>--out</code>: Output path for the CosmosDB schema (required).</li> <li><code>--emit-cloudevents-columns</code>: Add CloudEvents columns to the CosmosDB schema (optional, default: false).</li> </ul> <p dir="auto">Refer to the detailed conversion notes for CosmosDB in the <a href="/clemensv/avrotize/blob/master/nosqlcodegen.md">NoSQL Conversion Notes</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize schema to HBase schema</h3><a id="user-content-convert-avrotize-schema-to-hbase-schema" class="anchor" aria-label="Permalink: Convert Avrotize schema to HBase schema" href="#convert-avrotize-schema-to-hbase-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2hbase [input] --out <output_directory> [--emit-cloudevents-columns]"><pre>avrotize a2hbase [input] --out <span class="pl-k"><</span>output_directory<span class="pl-k">></span> [--emit-cloudevents-columns]</pre></div> <ul dir="auto"> <li><code>input</code>: Path to the Avrotize schema file (or read from stdin if omitted).</li> <li><code>--out</code>: Output path for the HBase schema (required).</li> <li><code>--emit-cloudevents-columns</code>: Add CloudEvents columns to the HBase schema (optional, default: false).</li> </ul> <p dir="auto">Refer to the detailed conversion notes for HBase in the <a href="/clemensv/avrotize/blob/master/nosqlcodegen.md">NoSQL Conversion Notes</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to empty Parquet file</h3><a id="user-content-convert-avrotize-schema-to-empty-parquet-file" class="anchor" aria-label="Permalink: Convert Avrotize Schema to empty Parquet file" href="#convert-avrotize-schema-to-empty-parquet-file"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2pq <path_to_avro_schema_file> [--out <path_to_parquet_schema_file>] [--record-type <record-type-from-avro>] [--emit-cloudevents-columns]"><pre>avrotize a2pq <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_parquet_schema_file<span class="pl-k">></span>] [--record-type <span class="pl-k"><</span>record-type-from-avro<span class="pl-k">></span>] [--emit-cloudevents-columns]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Parquet schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--record-type</code>: (optional) The name of the Avro record type to convert to a Parquet schema.</li> <li><code>--emit-cloudevents-columns</code>: (optional) If set, the tool will add <a href="https://cloudevents.io" rel="nofollow">CloudEvents</a> attribute columns to the Parquet schema: <code>__id</code>, <code>__source</code>, <code>__subject</code>, <code>__type</code>, and <code>__time</code>.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The emitted Parquet file contains only the schema, no data rows.</li> <li>The tool only supports writing Parquet files for Avrotize Schema that describe a single <code>record</code> type. If the Avrotize Schema contains a top-level union, the <code>--record-type</code> option must be used to specify which record type to emit.</li> <li>The fields of the record are mapped to columns in the Parquet file. Array and record fields are mapped to Parquet nested types. Avro type unions are mapped to structures, not to Parquet unions since those are not supported by the PyArrow library used here.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to Iceberg schema</h3><a id="user-content-convert-avrotize-schema-to-iceberg-schema" class="anchor" aria-label="Permalink: Convert Avrotize Schema to Iceberg schema" href="#convert-avrotize-schema-to-iceberg-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2ib <path_to_avro_schema_file> [--out <path_to_iceberg_schema_file>] [--record-type <record-type-from-avro>] [--emit-cloudevents-columns]"><pre>avrotize a2ib <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_iceberg_schema_file<span class="pl-k">></span>] [--record-type <span class="pl-k"><</span>record-type-from-avro<span class="pl-k">></span>] [--emit-cloudevents-columns]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Iceberg schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--record-type</code>: (optional) The name of the Avro record type to convert to an Iceberg schema.</li> <li><code>--emit-cloudevents-columns</code>: (optional) If set, the tool will add <a href="https://cloudevents.io" rel="nofollow">CloudEvents</a> attribute columns to the Iceberg schema: <code>__id</code>, <code>__source</code>, <code>__subject</code>, <code>__type</code>, and <code>__time</code>.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The emitted Iceberg file contains only the schema, no data rows.</li> <li>The tool only supports writing Iceberg files for Avrotize Schema that describe a single <code>record</code> type. If the Avrotize Schema contains a top-level union, the <code>--record-type</code> option must be used to specify which record type to emit.</li> <li>The fields of the record are mapped to columns in the Iceberg file. Array and record fields are mapped to Iceberg nested types. Avro type unions are mapped to structures, not to Iceberg unions since those are not supported by the PyArrow library used here.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Parquet schema to Avrotize Schema</h3><a id="user-content-convert-parquet-schema-to-avrotize-schema" class="anchor" aria-label="Permalink: Convert Parquet schema to Avrotize Schema" href="#convert-parquet-schema-to-avrotize-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize pq2a <path_to_parquet_file> [--out <path_to_avro_schema_file>] [--namespace <avro_schema_namespace>]"><pre>avrotize pq2a <span class="pl-k"><</span>path_to_parquet_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span>] [--namespace <span class="pl-k"><</span>avro_schema_namespace<span class="pl-k">></span>]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_parquet_file></code>: The path to the Parquet file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--namespace</code>: (optional) The namespace to use in the Avrotize Schema if the Parquet file does not define a namespace.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool reads the schema from the Parquet file and converts it to Avrotize Schema. The data in the Parquet file is not read or converted.</li> <li>The fields of the Parquet schema are mapped to fields in the Avrotize Schema. Nested fields are mapped to nested records in the Avrotize Schema.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert CSV file to Avrotize Schema</h3><a id="user-content-convert-csv-file-to-avrotize-schema" class="anchor" aria-label="Permalink: Convert CSV file to Avrotize Schema" href="#convert-csv-file-to-avrotize-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize csv2a <path_to_csv_file> [--out <path_to_avro_schema_file>] [--namespace <avro_schema_namespace>]"><pre>avrotize csv2a <span class="pl-k"><</span>path_to_csv_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span>] [--namespace <span class="pl-k"><</span>avro_schema_namespace<span class="pl-k">></span>]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_csv_file></code>: The path to the CSV file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Avrotize Schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--namespace</code>: (optional) The namespace to use in the Avrotize Schema if the CSV file does not define a namespace.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool reads the CSV file and converts it to Avrotize Schema. The first row of the CSV file is assumed to be the header row, containing the field names.</li> <li>The fields of the CSV file are mapped to fields in the Avrotize Schema. The tool infers the types of the fields from the data in the CSV file.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Kafka Connect Schema to Avrotize Schema</h3><a id="user-content-convert-kafka-connect-schema-to-avrotize-schema" class="anchor" aria-label="Permalink: Convert Kafka Connect Schema to Avrotize Schema" href="#convert-kafka-connect-schema-to-avrotize-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize kstruct2a [input] --out <path_to_avro_schema_file>"><pre>avrotize kstruct2a [input] --out <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span></pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code>input</code>: The path to the Kafka Struct file to be converted (or read from stdin if omitted).</li> <li><code>--out</code>: The path to the Avrotize Schema file to write the conversion result to.</li> <li><code>--kstruct</code>: Deprecated: The path to the Kafka Struct file (for backward compatibility).</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool converts the Kafka Struct definition to an Avrotize Schema, mapping Kafka data types to their Avro equivalents.</li> <li>Kafka Structs are typically used to define data structures for Kafka Connect and other Kafka-based applications. This command facilitates interoperability by enabling the conversion of these definitions into Avro, which can be further used with various serialization and schema registry tools.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to C# classes</h3><a id="user-content-convert-avrotize-schema-to-c-classes" class="anchor" aria-label="Permalink: Convert Avrotize Schema to C# classes" href="#convert-avrotize-schema-to-c-classes"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2cs <path_to_avro_schema_file> [--out <path_to_csharp_dir>] [--namespace <csharp_namespace>] [--avro-annotation] [--system_text_json_annotation] [--newtonsoft-json-annotation] [--pascal-properties]"><pre>avrotize a2cs <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_csharp_dir<span class="pl-k">></span>] [--namespace <span class="pl-k"><</span>csharp_namespace<span class="pl-k">></span>] [--avro-annotation] [--system_text_json_annotation] [--newtonsoft-json-annotation] [--pascal-properties]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the directory to write the C# classes to. Required.</li> <li><code>--namespace</code>: (optional) The namespace to use in the C# classes.</li> <li><code>--avro-annotation</code>: (optional) Use Avro annotations.</li> <li><code>--system_text_json_annotation</code>: (optional) Use System.Text.Json annotations.</li> <li><code>--newtonsoft-json-annotation</code>: (optional) Use Newtonsoft.Json annotations.</li> <li><code>--pascal-properties</code>: (optional) Use PascalCase properties.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates C# classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a C# class.</li> <li>The fields of the record are mapped to properties in the C# class. Nested records are mapped to nested classes in the C# class.</li> <li>The tool supports adding annotations to the properties in the C# class. The <code>--avro-annotation</code> option adds Avro annotations, the <code>--system_text_json_annotation</code> option adds System.Text.Json annotations, and the <code>--newtonsoft-json-annotation</code> option adds Newtonsoft.Json annotations.</li> <li>The <code>--pascal-properties</code> option changes the naming convention of the properties to PascalCase.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to Java classes</h3><a id="user-content-convert-avrotize-schema-to-java-classes" class="anchor" aria-label="Permalink: Convert Avrotize Schema to Java classes" href="#convert-avrotize-schema-to-java-classes"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2java <path_to_avro_schema_file> [--out <path_to_java_dir>] [--package <java_package>] [--avro-annotation] [--jackson-annotation] [--pascal-properties]"><pre>avrotize a2java <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_java_dir<span class="pl-k">></span>] [--package <span class="pl-k"><</span>java_package<span class="pl-k">></span>] [--avro-annotation] [--jackson-annotation] [--pascal-properties]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the directory to write the Java classes to. Required.</li> <li><code>--package</code>: (optional) The package to use in the Java classes.</li> <li><code>--avro-annotation</code>: (optional) Use Avro annotations.</li> <li><code>--jackson-annotation</code>: (optional) Use Jackson annotations.</li> <li><code>--pascal-properties</code>: (optional) Use PascalCase properties.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates Java classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Java class.</li> <li>The fields of the record are mapped to properties in the Java class. Nested records are mapped to nested classes in the Java class.</li> <li>The tool supports adding annotations to the properties in the Java class. The <code>--avro-annotation</code> option adds Avro annotations, and the <code>--jackson-annotation</code> option adds Jackson annotations.</li> <li>The <code>--pascal-properties</code> option changes the naming convention of the properties to PascalCase.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to Python classes</h3><a id="user-content-convert-avrotize-schema-to-python-classes" class="anchor" aria-label="Permalink: Convert Avrotize Schema to Python classes" href="#convert-avrotize-schema-to-python-classes"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2py <path_to_avro_schema_file> [--out <path_to_python_dir>] [--package <python_package>] [--dataclasses-json-annotation] [--avro-annotation]"><pre>avrotize a2py <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_python_dir<span class="pl-k">></span>] [--package <span class="pl-k"><</span>python_package<span class="pl-k">></span>] [--dataclasses-json-annotation] [--avro-annotation]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the directory to write the Python classes to. Required.</li> <li><code>--package</code>: (optional) The package to use in the Python classes.</li> <li><code>--dataclasses-json-annotation</code>: (optional) Use dataclasses-json annotations.</li> <li><code>--avro-annotation</code>: (optional) Use Avro annotations.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates Python classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Python class.</li> <li>The fields of the record are mapped to properties in the Python class. Nested records are mapped to nested classes in the Python class.</li> <li>The tool supports adding annotations to the properties in the Python class. The <code>--dataclasses-json-annotation</code> option adds dataclasses-json annotations, and the <code>--avro-annotation</code> option adds Avro annotations.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to TypeScript classes</h3><a id="user-content-convert-avrotize-schema-to-typescript-classes" class="anchor" aria-label="Permalink: Convert Avrotize Schema to TypeScript classes" href="#convert-avrotize-schema-to-typescript-classes"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2ts <path_to_avro_schema_file> [--out <path_to_typescript_dir>] [--package <typescript_package>] [--avro-annotation] [--typedjson-annotation]"><pre>avrotize a2ts <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_typescript_dir<span class="pl-k">></span>] [--package <span class="pl-k"><</span>typescript_package<span class="pl-k">></span>] [--avro-annotation] [--typedjson-annotation]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the directory to write the TypeScript classes to. Required.</li> <li><code>--package</code>: (optional) The package to use in the TypeScript classes.</li> <li><code>--avro-annotation</code>: (optional) Use Avro annotations.</li> <li><code>--typedjson-annotation</code>: (optional) Use TypedJSON annotations.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates TypeScript classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a TypeScript class.</li> <li>The fields of the record are mapped to properties in the TypeScript class. Nested records are mapped to nested classes in the TypeScript class.</li> <li>The tool supports adding annotations to the properties in the TypeScript class. The <code>--avro-annotation</code> option adds Avro annotations, and the <code>--typedjson-annotation</code> option adds TypedJSON annotations.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to JavaScript classes</h3><a id="user-content-convert-avrotize-schema-to-javascript-classes" class="anchor" aria-label="Permalink: Convert Avrotize Schema to JavaScript classes" href="#convert-avrotize-schema-to-javascript-classes"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2js <path_to_avro_schema_file> [--out <path_to_javascript_dir>] [--package <javascript_package>] [--avro-annotation]"><pre>avrotize a2js <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_javascript_dir<span class="pl-k">></span>] [--package <span class="pl-k"><</span>javascript_package<span class="pl-k">></span>] [--avro-annotation]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the directory to write the JavaScript classes to. Required.</li> <li><code>--package</code>: (optional) The package to use in the JavaScript classes.</li> <li><code>--avro-annotation</code>: (optional) Use Avro annotations.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates JavaScript classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a JavaScript class.</li> <li>The fields of the record are mapped to properties in the JavaScript class. Nested records are mapped to nested classes in the JavaScript class.</li> <li>The tool supports adding annotations to the properties in the JavaScript class. The <code>--avro-annotation</code> option adds Avro annotations.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to C++ classes</h3><a id="user-content-convert-avrotize-schema-to-c-classes-1" class="anchor" aria-label="Permalink: Convert Avrotize Schema to C++ classes" href="#convert-avrotize-schema-to-c-classes-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2cpp <path_to_avro_schema_file> [--out <path_to_cpp_dir>] [--namespace <cpp_namespace>] [--avro-annotation] [--json-annotation]"><pre>avrotize a2cpp <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_cpp_dir<span class="pl-k">></span>] [--namespace <span class="pl-k"><</span>cpp_namespace<span class="pl-k">></span>] [--avro-annotation] [--json-annotation]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the directory to write the C++ classes to. Required.</li> <li><code>--namespace</code>: (optional) The namespace to use in the C++ classes.</li> <li><code>--avro-annotation</code>: (optional) Use Avro annotations.</li> <li><code>--json-annotation</code>: (optional) Use JSON annotations.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates C++ classes from the Avrotize Schema. Each record type in the Av</li> </ul> <p dir="auto">rotize Schema is converted to a C++ class.</p> <ul dir="auto"> <li>The fields of the record are mapped to properties in the C++ class. Nested records are mapped to nested classes in the C++ class.</li> <li>The tool supports adding annotations to the properties in the C++ class. The <code>--avro-annotation</code> option adds Avro annotations, and the <code>--json-annotation</code> option adds JSON annotations.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to Go classes</h3><a id="user-content-convert-avrotize-schema-to-go-classes" class="anchor" aria-label="Permalink: Convert Avrotize Schema to Go classes" href="#convert-avrotize-schema-to-go-classes"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2go <path_to_avro_schema_file> [--out <path_to_go_dir>] [--package <go_package>] [--avro-annotation] [--json-annotation] [--package-site <go_package_site>] [--package-username <go_package_username>]"><pre>avrotize a2go <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_go_dir<span class="pl-k">></span>] [--package <span class="pl-k"><</span>go_package<span class="pl-k">></span>] [--avro-annotation] [--json-annotation] [--package-site <span class="pl-k"><</span>go_package_site<span class="pl-k">></span>] [--package-username <span class="pl-k"><</span>go_package_username<span class="pl-k">></span>]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the directory to write the Go classes to. Required.</li> <li><code>--package</code>: (optional) The package to use in the Go classes.</li> <li><code>--package-site</code>: (optional) The package site to use in the Go classes.</li> <li><code>--package-username</code>: (optional) The package username to use in the Go classes.</li> <li><code>--avro-annotation</code>: (optional) Use Avro annotations.</li> <li><code>--json-annotation</code>: (optional) Use JSON annotations.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates Go classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Go class.</li> <li>The fields of the record are mapped to properties in the Go class. Nested records are mapped to nested classes in the Go class.</li> <li>The tool supports adding annotations to the properties in the Go class. The <code>--avro-annotation</code> option adds Avro annotations, and the <code>--json-annotation</code> option adds JSON annotations.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to Rust classes</h3><a id="user-content-convert-avrotize-schema-to-rust-classes" class="anchor" aria-label="Permalink: Convert Avrotize Schema to Rust classes" href="#convert-avrotize-schema-to-rust-classes"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2rust <path_to_avro_schema_file> [--out <path_to_rust_dir>] [--package <rust_package>] [--avro-annotation] [--serde-annotation]"><pre>avrotize a2rust <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_rust_dir<span class="pl-k">></span>] [--package <span class="pl-k"><</span>rust_package<span class="pl-k">></span>] [--avro-annotation] [--serde-annotation]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the directory to write the Rust classes to. Required.</li> <li><code>--package</code>: (optional) The package to use in the Rust classes.</li> <li><code>--avro-annotation</code>: (optional) Use Avro annotations.</li> <li><code>--serde-annotation</code>: (optional) Use Serde annotations.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates Rust classes from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Rust class.</li> <li>The fields of the record are mapped to properties in the Rust class. Nested records are mapped to nested classes in the Rust class.</li> <li>The tool supports adding annotations to the properties in the Rust class. The <code>--avro-annotation</code> option adds Avro annotations, and the <code>--serde-annotation</code> option adds Serde annotations.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to Datapackage schema</h3><a id="user-content-convert-avrotize-schema-to-datapackage-schema" class="anchor" aria-label="Permalink: Convert Avrotize Schema to Datapackage schema" href="#convert-avrotize-schema-to-datapackage-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2dp <path_to_avro_schema_file> [--out <path_to_datapackage_file>] [--record-type <record-type-from-avro>]"><pre>avrotize a2dp <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_datapackage_file<span class="pl-k">></span>] [--record-type <span class="pl-k"><</span>record-type-from-avro<span class="pl-k">></span>]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Datapackage schema file to write the conversion result to. If omitted, the output is directed to stdout.</li> <li><code>--record-type</code>: (optional) The name of the Avro record type to convert to a Datapackage schema.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates a Datapackage schema from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Datapackage resource.</li> <li>The fields of the record are mapped to fields in the Datapackage resource. Nested records are mapped to nested resources in the Datapackage.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Convert Avrotize Schema to Markdown documentation</h3><a id="user-content-convert-avrotize-schema-to-markdown-documentation" class="anchor" aria-label="Permalink: Convert Avrotize Schema to Markdown documentation" href="#convert-avrotize-schema-to-markdown-documentation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize a2md <path_to_avro_schema_file> [--out <path_to_markdown_file>]"><pre>avrotize a2md <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span> [--out <span class="pl-k"><</span>path_to_markdown_file<span class="pl-k">></span>]</pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> <li><code>--out</code>: The path to the Markdown file to write the conversion result to. If omitted, the output is directed to stdout.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates Markdown documentation from the Avrotize Schema. Each record type in the Avrotize Schema is converted to a Markdown section.</li> <li>The fields of the record are documented in a table in the Markdown section. Nested records are documented in nested sections in the Markdown file.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Create the Parsing Canonical Form (PCF) of an Avrotize schema</h3><a id="user-content-create-the-parsing-canonical-form-pcf-of-an-avrotize-schema" class="anchor" aria-label="Permalink: Create the Parsing Canonical Form (PCF) of an Avrotize schema" href="#create-the-parsing-canonical-form-pcf-of-an-avrotize-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="avrotize pcf <path_to_avro_schema_file>"><pre>avrotize pcf <span class="pl-k"><</span>path_to_avro_schema_file<span class="pl-k">></span></pre></div> <p dir="auto">Parameters:</p> <ul dir="auto"> <li><code><path_to_avro_schema_file></code>: The path to the Avrotize Schema file to be converted. If omitted, the file is read from stdin.</li> </ul> <p dir="auto">Conversion notes:</p> <ul dir="auto"> <li>The tool generates the Parsing Canonical Form (PCF) of the Avrotize Schema. The PCF is a normalized form of the schema that is used for schema comparison and compatibility checking.</li> <li>The PCF is a JSON object that is written to stdout.</li> </ul> <p dir="auto">This document provides an overview of the usage and functionality of Avrotize. For more detailed information, please refer to the <a href="/clemensv/avrotize/blob/master/specs/avrotize-schema.md">Avrotize Schema documentation</a> and the individual command help messages.</p> </article></div></div></div></div></div> <!-- --> <!-- --> <script type="application/json" id="__PRIMER_DATA_:R0:__">{"resolvedServerColorMode":"day"}</script></div> </react-partial> <input type="hidden" data-csrf="true" value="RsBOpGLSdl2N5N0We/3pCVSxvKe8+QF9M2Ao1jhSb2DQJh+7fwOk0Fm5lRnr6LWGpKATaJI7u1yvUbC8s8AhuQ==" /> </div> <div data-view-component="true" class="Layout-sidebar"> <div class="BorderGrid about-margin" data-pjax> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <div class="hide-sm hide-md"> <h2 class="mb-3 h4">About</h2> <p class="f4 my-3"> Avrotize is a command-line tool for converting data structure definitions between different schema formats, using Apache Avro Schema as the integration schema model. </p> <h3 class="sr-only">Topics</h3> <div class="my-3"> <div 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!important;;width: 0.8%;" itemprop="keywords" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#f1e05a !important;;width: 0.2%;" itemprop="keywords" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#ededed !important;;width: 0.1%;" itemprop="keywords" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> </span></div> <ul class="list-style-none"> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/clemensv/avrotize/search?l=python" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#3572A5;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">Python</span> <span>84.9%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/clemensv/avrotize/search?l=jinja" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#a52a22;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">Jinja</span> <span>7.4%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/clemensv/avrotize/search?l=typescript" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#3178c6;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" 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