OpenMetadata/docs/openmetadata-apis/apis/implementation-notes.md

# Implementation notes

We use the [Dropwizard](https://www.dropwizard.io/en/latest/) Java framework for developing Restful web services. APIs are documented using [Swagger/OpenAPI 3.x](https://swagger.io/specification/). We take schema first approach and define metadata entities and types in [JSON schema](https://json-schema.org) specification version [Draft-07 to 2019-09](https://json-schema.org/draft/2019-09/release-notes.html). Java code is generated from the JSON schema using [JSON schema 2 pojo](https://www.jsonschema2pojo.org) tool and Python code is generated using the [Data model code generator](https://github.com/koxudaxi/datamodel-code-generator) tool.
GitBook: [main] 4 pages modified 2021-08-12 17:37:06 +00:00			`# Implementation notes`

Added documentation changes done in 0.5.0 branch to main (#1168) * GitBook: [#177] Documentation Update - Airflow * GitBook: [#195] Removing Cron from databaseServices * GitBook: [#196] Added trino * GitBook: [#197] removed cron from config * GitBook: [#198] Added Redash Documentation * GitBook: [#199] Added Bigquery Usage Documentation * GitBook: [#200] Added page link for presto * GitBook: [#201] Added Local Docker documentation * GitBook: [#202] Added Documentation for Local Docker Setup * GitBook: [#203] Added Git Command to clone Openmetadata in docs * GitBook: [#207] links update * GitBook: [#208] Updating Airflow Documentation * GitBook: [#210] Adding Python installation package under Airflow Lineage config * GitBook: [#211] Change the links to 0.5..0 * GitBook: [#213] Move buried connectors page up * GitBook: [#214] Update to connectors page * GitBook: [#215] Removed sub-categories * GitBook: [#212] Adding Discovery tutorial * GitBook: [#220] Updated steps to H2s. * GitBook: [#230] Complex queries * GitBook: [#231] Add lineage to feature overview * GitBook: [#232] Make feature overview headers verbs instead of nouns * GitBook: [#233] Add data reliability to features overview * GitBook: [#234] Add complex data types to feature overview * GitBook: [#235] Simplify and further distinguish discovery feature headers * GitBook: [#236] Add data importance to feature overview * GitBook: [#237] Break Connectors into its own section * GitBook: [#238] Reorganize first section of docs. * GitBook: [#239] Add connectors to feature overview * GitBook: [#240] Organize layout of feature overview into feature categories as agreed with Harsha. * GitBook: [#242] Make overview paragraph more descriptive. * GitBook: [#243] Create a link to Connectors section from feature overview. * GitBook: [#244] Add "discover data through association" to feature overview. * GitBook: [#245] Update importance and owners gifs * GitBook: [#246] Include a little more descriptive documentation for key features. * GitBook: [#248] Small tweaks to intro paragraph. * GitBook: [#249] Clean up data profiler paragraph. * GitBook: [#250] Promote Complex Data Types to its own feature. * GitBook: [#251] Update to advanced search * GitBook: [#252] Update Roadmap * GitBook: [#254] Remove old features page (text and screenshot based). * GitBook: [#255] Remove references to removed page. * GitBook: [#256] Add Descriptions and Tags section to feature overview. * GitBook: [#257] Update title for "Know Your Data" Co-authored-by: Ayush Shah <ayush.shah@deuexsolutions.com> Co-authored-by: Suresh Srinivas <suresh@getcollate.io> Co-authored-by: Shannon Bradshaw <shannon.bradshaw@arrikto.com> Co-authored-by: OpenMetadata <github@harsha.io> 2021-11-13 23:03:20 +05:30			We use the [Dropwizard](https://www.dropwizard.io/en/latest/) Java framework for developing Restful web services. APIs are documented using [Swagger/OpenAPI 3.x](https://swagger.io/specification/). We take schema first approach and define metadata entities and types in [JSON schema](https://json-schema.org) specification version [Draft-07 to 2019-09](https://json-schema.org/draft/2019-09/release-notes.html). Java code is generated from the JSON schema using [JSON schema 2 pojo](https://www.jsonschema2pojo.org) tool and Python code is generated using the [Data model code generator](https://github.com/koxudaxi/datamodel-code-generator) tool.