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Update dependency acryl-datahub to v0.15.0.2 #2
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This PR contains the following updates:
==0.8.17.6
->==0.15.0.2
==0.8.17.7
->==0.15.0.2
Warning
Some dependencies could not be looked up. Check the Dependency Dashboard for more information.
Release Notes
datahub-project/datahub (acryl-datahub)
v0.15.0
DataHub v0.15.0 Release Notes
User Experience
Structured Properties
UI Enhancements
Authorization & Authentication
Metadata Ingestion
Ingestion Framework Improvements
Enhanced Data Source Support: Expanded ingestion capabilities for multiple platforms, including Superset (with dataset entities, schema fields, and column-level lineage), Feast (supporting tags and owners ingestion), Neo4j, and Cassandra. Added stateful ingestion support for file sources. [#11688, #11784, #11804, #11526, #11822]
SQL Processing Improvements: Replaced vulnerable sqlparse dependency with an in-house SQL parser, optimized CLL generation with reduced memory usage, and added special handling for MSSQL case sensitivity. Enhanced multi-query lineage support for Snowflake temporary tables. [#11645, #11708, #11920, #12020]
CLI Enhancements: Introduced new commands for managing ingestion, including listing source runs with filtering capabilities, undoing soft deletes with platform filtering, and listing structured properties. Added an offline flag to the SQL parser CLI. [#11740, #11980, #12012, #12283, #11635]
Ownership and Metadata Management: Extended ownership transformer capabilities across entities, improved glossary sync to preserve custom ownership types, and added support for multiple ownership types in glossaries and terms. Enhanced Forms CLI with additional filters for subtypes, platform instances, owners, tags, and glossary terms. [#11700, #11545, #12050, #10979]
Core Infrastructure Improvements: Implemented unique URN generation for all entities, added support for efficient entity ingestion through
get_entity_as_mcps
, improved empty field handling, and introduced progress reporting during ingestion. Added execution request cleanup job and support for dropping duplicate schema fields. [#11676, #11425, #11613, #12117, #11765, #12308]Source-Specific Ingestion Improvements
Airflow
BigQuery
Dagster
dbt
Snowflake
Tableau
PowerBI
Developer Experience
Entity Management: Introduced entity versioning for Datasets and ML Models, with support for version set linking. Improved timeline functionality with better handling of primary key changes and rename events. Added data transformation logic models to enhance data processing capabilities. [#11819, #11843, #12166, #12198]
Enhanced Configuration Management: Added new customization options through environment variables and Helm charts, including editable dataset names and configurable garbage collection scheduling. The bootstrap process has been optimized to reduce latency during installation. [#11391, #11518]
Development Environment Updates: Added Git support to the ingestion-base image, enabling better source control integration for ingestion workflows. [#11477]
Security Logging Enhancement: Improved security audit trails by adding actor URN tracking for unauthorized access attempts. [#12030]
NEW: Garbage Collection
Comprehensive Metadata Cleanup: Introduced a new ingestion source: DataHubGC to function as a garbage collector for managing dataflows, data jobs, and data process instances, with configurable retention policies and deletion parameters. Added dry run mode for testing cleanup operations. [#11102, #11413]
Performance Optimizations: Significantly improved processing speed from 1 hour to 15 minutes by implementing batch processing, optimizing queries, and removing unnecessary operations. Increased default hard delete limit from 10k to 25k entities. [#11809, #12093, #12238]
Reliability Improvements: Enhanced garbage collection stability with additional validation checks, improved error handling, and better process visibility through ingestion stage reporting. Fixed issues with entity deletion logic and reference handling to preserve critical lineage relationships. [#12011, #12013, #12027, #12049, #12124, #12226]
Thank You to Our Contributors!
First-Time Contributors
@AColocho, @alberttwong, @Alice-608, @Bumyu, @chakru-r, @chriscc2, @dejan2609, @donovan-acryl, @eagle-25, @hwmarkcheng, @k-bartlett, @kanavnarula, @kartikey-visa, @kevinkarchacryl, @kousiknandy, @kris48k, @llance, @margaridafernandes-trip, @mikeburke24, @raudzis, @ronybony1990, @ryota-cloud, @shepherd44, @siong-tcha, @ssidorenko, @tanguyantoine, @th0ger, @udays-visa, @udbhav-hbk, @vejeta
Repeat Contributors
@aviv-julienjehannet, @bda618, @bossenti, @darnaut, @deepgarg-visa, @DSchmidtDev, @dushayntAW, @eboneil, @ethan-cartwright, @feldjay, @githendrik, @haeniya, @Jorricks, @Masterchen09, @mkamalas, @Nbagga14, @nicholas-fwang, @noggi, @pankajmahato-visa, @pinakipb2, @rtekal, @sagar-salvi-apptware, @steffengr
DataHub Maintainers
@acrylJonny, @anshbansal, @asikowitz, @chriscollins3456, @david-leifker, @gabe-lyons, @hsheth2, @jayacryl, @jjoyce0510, @maggiehays, @mayurinehate, @pedro93, @RyanHolstien, @sakethvarma397, @sgomezvillamor, @shirshanka, @sid-acryl, @skrydal, @treff7es, @yoonhyejin
What's Changed
get_entity_as_mcps
method to client by @hsheth2 in https://github.com/datahub-project/datahub/pull/11425git
to ingestion-base image by @hsheth2 in https://github.com/datahub-project/datahub/pull/11477DATAHUB_INCLUDE_ENV_IN_CONTAINER_PROPERTIES
by @hsheth2 in https://github.com/datahub-project/datahub/pull/11476