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47 lines
2.0 KiB
Markdown
47 lines
2.0 KiB
Markdown
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# 0.13.2 Release
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{% note noteType="Tip" %}
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**2023, January 30th**
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[OpenMetadata 0.13.2 Release - Improved SQL Lineage, Glossary Bulk Upload, Unified Tag Category API, Mutually Exclusive Tags, Chrome Extension, and lots more](https://blog.open-metadata.org/openmetadata-0-13-2-release-e32c0de93361)
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{% /note %}
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## Improved SQL Lineage
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- We have collaborated with the [sqllineage](https://github.com/reata/sqllineage) and [sqlfluff](https://www.sqlfluff.com/) communities
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to improve the parsing capabilities of `sqllineage`. We'll continue to collaborate to ship further improvements in new releases.
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## New Glossary UI
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- Moved from a tree view in the left panel to an easy to navigate list of the terms sorted alphabetically.
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- The term list shows the tags and descriptions in the cards.
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## Glossary Import & Export
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- You can now export your Glossary data as a CSV file.
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- In the same way, you can now bulk upload terms to a Glossary by adding their details in a CSV file.
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- The import utility will validate the file and show you a preview of the elements that are going to be imported to OpenMetadata.
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## Unified Tag Category API
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- Renamed Tag Categories to Classification, a more widely used term.
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- Updated the API to conform with the rest of the specification. More info [here](https://github.com/open-metadata/OpenMetadata/issues/9259).
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## Mutually Exclusive Tags
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- When creating a Classification or a Glossary term, you can now make the tags to be mutually exclusive.
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- If tags are set to be mutually exclusive, you won't be able to set multiple tags from the same category in the same asset.
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## EntityName
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- Special characters
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## Ingestion Framework
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- Performance Improvements: We are now getting descriptions in batch, making connectors such as Redshift or Snowflake way faster!
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- The Oracle connector now ships with the Thick mode enabled.
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- AWS QuickSight fixes
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- DB2 constraints and profiler improvements
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- Added support for Postgres Foreign Tables
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- Added support for Datalake profiler row-based sampling
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