8000 Releases · datahub-project/datahub · GitHub
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

Releases: datahub-project/datahub

v1.1.0rc3

14 May 01:33
@esteban esteban
v1.1.0rc3
02c669a
Compare
Choose a tag to compare
v1.1.0rc3 Pre-release
Pre-release

What's Changed

Read more

Contributors

esteban, sgomezvillamor, and 48 other contributors
Loading

v1.1.0rc2

13 May 23:09
@esteban esteban
v1.1.0rc2
e71170b
Compare
Choose a tag to compare
v1.1.0rc2 Pre-release
Pre-release 
tests(smoke): removes non existing `mix_stderr` param in `CliRunner` …
Loading

v1.1.0rc1

13 May 22:41
@esteban esteban
v1.1.0rc1
68944f1
Compare
Choose a tag to compare
v1.1.0rc1 Pre-release
Pre-release 
ci(): run smoke tests on release (#13454)
Loading

v1.0.0

17 Mar 14:37
@pedro93 pedro93
v1.0.0
cbe0334
Compare
Choose a tag to compare
v1.0.0 Latest
Latest

DataHub v1.0.0

Release Highlights

DataHub v1.0.0 is packed with exciting updates, including:

  • A completely redesigned user experience focused on simplified navigation and a visually stunning interface.
  • Unified support for Data & AI, including AI Model Group Versions, AI Model Lineage, Model Stats, and Experiment/Run ingestion.
  • DataHub Iceberg Catalog, allowing users to manage Iceberg tables directly from DataHub.

Read the blog post here!

Changelog

New User Interface: Putting Usability First

With a completely re-designed user interface, DataHub v1.0 represents a fundamental rethinking of how users interact with their metadata and data assets. The new experience includes:

  • Intuitive Platform-Based Navigation - Hierarchically browse data by database and schema in Snowflake, BigQuery, Redshift, Databricks, and more. Combine hierarchical navigation with filtering by data owners, domain, tags, and glossary terms to find the right data fast.
  • Seamless Lineage Exploration - Our reimagined lineage view features multi-level expansion, name-based search, and column-level visibility, making it easier than ever to understand data relationships and impact.
  • Integrated Data Quality - Make confident decisions with deeply integrated quality signals throughout the platform, helping you quickly identify and trust reliable data assets.

DataHub Admins can enable the new UI for all users by setting the THEME_V2_DEFAULT environment variable to true; until then, Users can opt into the new experience by navigating to Settings > Appearance > Try New User Experience.

Comprehensive AI Asset Support: Unifying Data and AI

DataHub v1.0 treats AI assets as first-class citizens within the data ecosystem, allowing users to track their entire data-to-AI pipeline in one place.

  • Unified Search and Discovery: Seamlessly search across models, model groups, and traditional data assets in one unified interface.
  • Advanced Versioning System: Track multiple versions of datasets and ML models with detailed performance metrics and clear linkages between versions.
  • Rich Model Statistics: Monitor key metrics across versions, understand performance trends, and make data-driven decisions about model deployment.
  • End-to-End Lineage: Trace data flows from raw inputs through models to final outputs, with complete versioning support.

DataHub Iceberg REST Catalog Beta: Simplifying Data Lake Management

This release introduces an integration with Apace Iceberg, allowing users to manage Iceberg tables directly through DataHub, including:

  • Create and manage Iceberg tables through DataHub
  • Maintain consistent metadata across DataHub and Iceberg
  • Facilitate data discovery by exposing Iceberg table metadata in DataHub
  • Enable secure access to Iceberg tables through DataHub's permissions model

Read the docs here!

DataHub CLI

This release introduces the following improvements to our CLI:

  • Added container command to apply tags, terms, and owners on all assets within the container. [ #12418, #12436]
  • Improved delete command to optionally reference a file with a list of URNS to be deleted. [#12247]
  • Expanded ingest command to support ingesting MCPs from S3. [#12649]

Metadata Ingestion

We’re continuously improving our integrations to add new capabilities and squash bugs.

  • dbt: Added the parameter include_database_name to support including the database name in URN generation. [#12411]
  • Iceberg: Alongside our new Iceberg Catalog API, we’ve made various improvements to our Iceberg integration. [#12744]
  • MLFlow: Significantly revamped our MLFlow connector, adding support for tracking Model Group Versions and Model Stats; tracking Model lineage to underlying datasets; and capturing Experiments and Runs.
  • MSSQL: Improved support for extracting stored procedures from MS SQL. [ #12244, #12563]
  • Oracle: Improved the accuracy of column-level lineage resolution.
  • PowerBI: Improved lineage mapping so PowerBI Reports can now contain PowerBI Dashboards. [#12451]
  • Redshift: Added support for data shares and external schemas, including automatic lineage resolution across Redshift namespaces.
  • S3: Added functionality to the S3 ingestion process to ignore paths that do not match the specified depth, resolving warning messages triggered by mismatched paths. [#12326]
  • Snowflake: Added support for Snowflake Streams and Hybrid Tables, and fixed a bug with lineage resolution across table renames. [#12318]
  • Superset: (community contribution!): Added support for Superset virtual datasets and lineage. [#12679]

Additionally, we’re working on a new integration with Vertex AI. Please reach out if you’re interested in joining the beta.

Of course, this only scratches the surface of changes. This release contains 100+ improvements across 25 different integrations.

Thank You to our Contributors!

First-Time Contributors

@Bhadhri03 @brock-acryl @cccs-cat001 @davidebriscese @Deepalijain13 @dougbot01 @Haebuk @haon85 @josges @mihai103 @rajatgl17 @Rasnar @rharisi @samanthafigueredo5 @ttekampe

Repeat Contributors

@bda618 @deepgarg-visa @eagle-25 @jayasimhankv @ksrinath @llance @Masterchen09 @mayurinehate @mkamalas @PeteMango @pinakipb2 @remisalmon @sagar-salvi-apptware @svdimchenko @v-tarasevich-blitz-brain

Project Maintainers

@anshbansal @asikowitz @chakru-r @chriscollins3456 @david-leifker @gabe-lyons @hsheth2 @jayacryl @jjoyce0510 @kevinkarchacryl @pedro93 @RyanHolstien @ryota-cloud @sakethvarma397 @sgomezvillamor @shirshanka @skrydal @treff7es @yoonhyejin

View the full changelog: v0.15.0.1...v1.0.0

Contributors

sgomezvillamor, shirshanka, and 47 other contributors
Assets 2
Loading

v1.0.0rc5

13 Mar 09:53
@pedro93 pedro93
v1.0.0rc5
68cc2fa
Compare
Choose a tag to compare
v1.0.0rc5 Pre-release
Pre-release

Full Changelog: v1.0.0rc4...v1.0.0rc5

Loading

v1.0.0rc4

12 Mar 10:33
@pedro93 pedro93
v1.0.0rc4
1abac3c
Compare
Choose a tag to compare
v1.0.0rc4 Pre-release
Pre-release

Full Changelog: v1.0.0rc3...v1.0.0rc4

Loading

v1.0.0rc3

04 Mar 18:14
@pedro93 pedro93
v1.0.0rc3
6097820
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.
Compare
Choose a tag to compare
v1.0.0rc3 Pre-release
Pre-release

What's Changed

New Contributors

Full Changelog: v1.0.0rc2...v1.0.0rc3

Contributors

sgomezvillamor, skrydal, and 19 other contributors
Loading

v1.0.0rc2

24 Feb 20:04
@david-leifker david-leifker
v1.0.0rc2
8dfd8fb
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.
Compare
Choose a tag to compare
v1.0.0rc2 Pre-release
Pre-release

What's Changed

Read more

Contributors

sgomezvillamor, treff7es, and 32 other contributors
Loading

v1.0.0rc1

30 Jan 15:01
@david-leifker david-leifker
v1.0.0rc1
a155470
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.
Compare
Choose a tag to compare
v1.0.0rc1 Pre-release
Pre-release 
fix(ci): disable ci telemetry modelDocUpload (#12504)
Loading

v0.15.0.1

21 Jan 15:43
@pedro93 pedro93
v0.15.0.1
476df77
Compare
Choose a tag to compare
v0.15.0.1

DataHub v0.15.0.1 Release Notes

🎵 Listen to this release's theme song on Suno: Structured Flow
Shoutout to @DSchmidtDev for this genre inspo for this round!

  • Structured Properties

    • Added comprehensive support for managing structured properties, including creation, editing, deletion, and display preferences. Introduced timestamps for tracking creation and modification. [#12100, #11419]
    • Enhanced property display options with badge styling, custom column types, and configurable visibility settings in asset sidebars and schema fields. [#12111, #12052]
    • Added structured property filtering in UI with improved aggregation logic and entity metadata display. Introduced new property validators and display settings. [#12097, #12099]

  • UI Enhancements

    • Enhanced container organization with parent hierarchy labels. [#11705]
    • Added support for markdown in incident descriptions, enabling rich formatting capabilities. [#11759]
    • Improved ingestion reporting with better visibility of successful ingestions with warnings. Enhanced browse paths display for business attributes and schema fields. [#11704, #11585]
    • Added support for timeseries aspects in OpenAPI and customizable date range fields for Analytics charts. [#12096, #11366]

  • Authorization & Authentication

    • Enabled authentication and API authorization by default, with support for URN-wildcard-based policies using STARTS_WITH condition. [#11484, #11441]
    • Added authorization checks for managing Glossary terms, including privileges for ownership, domain management, and link actions. [#11337]

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

  • Upgraded infrastructure with support for Airflow 2.10, deprecated versions below 2.3, and improved template handling with Jinja support. Added configuration options for dag patterns and environment variables. [#11300, #11371, #11472, #11537, #11579, #12056]
  • Enhanced error handling and debugging with improved logging, fixed plugin stability issues on EMR, and added support for AthenaOperator lineage extraction. Introduced ability to disable plugin without restart. [#11857, #11877, #11880, #12098]

BigQuery

  • Enhanced data modeling capabilities with support for foreign/primary keys, BigLake tables, and improved handling of external tables. Added support for region qualifiers and partition management. [#11686, #11728, #11874, #11940]
  • Improved lineage tracking with GCS data source support and optimized query performance. Added platform resource entity generation from BigQuery labels. [#11442, #11492, #11534, #11602]
  • Enhanced profiling and performance with better type handling and size limits. Fixed issues with tag synchronization and platform instance settings. [#11807, #12060]

Dagster

  • Added support for skipping Asset ingestion, fixed input/output value formatting, and improved compatibility with latest Dagster versions (v1.9.6). Deprecated Python 3.8 support. [#11262, #11481, #12121, #12189]

dbt

  • Improved performance and functionality with node_name_patterns for faster CLL processing, support for multiple test paths, and better handling of custom owner types. [#11450, #11460, #11848]
  • Enhanced lineage handling by preventing cycles in SQL parsing and supporting multiple dataset assertions for tests. Added support for dbt Cloud's Explore page. [#11666, #11451, #12223]

Snowflake

  • Expanded support for various table types, including secure, dynamic, and hybrid tables. Enhanced lineage capabilities for renames, swaps, and external tables. [#11600, #12039, #12094, #12179]
  • Improved authentication with OAuth support and token management. Added incremental property processing and structured property support for tags. [#11888, #12048, #12080, #12285]
  • Enhanced error handling and logging with better parse failure reporting and dot handling in table names. [#12105, #12110, #12153]

Tableau

  • Enhanced project management with new path pattern filtering and improved handling of hidden assets. Added support for access roles and group permissions. [#10855, #11157, #11559]
  • Improved API integration with retry logic for various error codes (502, 504), better authentication handling, and consistent page size application. [#12213, #12216, #12233]
  • Enhanced reporting and debugging capabilities while maintaining efficient performance and proper permission handling. [#12015, #12024, #12175]

PowerBI

  • Improved M-query parsing with support for comments, better handling of quotes, and DatabricksMultiCloud native query functionality. [#12177, #11743, #11756]
  • Enhanced workspace management with cross-workspace dataset linking and app ingestion support. Added timeouts for M-query parsing. [#11560, #11629, #11753]
  • Improved error reporting and performance optimization with reduced type casting and better organization of responsibilities. [#11763, #12004]

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...

Read more

Contributors

tanguyantoine, githendrik, and 72 other contributors
Loading
0