Release notes
Product DocumentationAI Docs Bot

Release version 2.323

Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

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Details about the release

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Release version

​​2.323

Release date

10 April, 2026​​

Docker image ID ​ ​

​

Link to download the Docker image:​​ ​https://hub.docker.com/r/datadotworld/dwcc/tags

  • arm64:​​ 05f061f9d9116225733eb8d61945827556a0f6d5889a6f1f636f8eedcfa907fe
  • ​amd64:​​ 1ab013f74449b4bbe9f02c040823d0090207ad29e3dd5f4f61c4c86a47a6d44a

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


​

Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.323/dwcc-2.323.zip

  • ​​Sha256:​​ 420a33238d8737cf1b2ec5ce354f0b8deba1e1b86e53332b72f95eec9cfa4af7

Bug fixes

  • ​Microsoft Fabric collector:​​ Fixed an issue where Direct Lake tables displayed null schema names when the source schema was not explicitly defined, improving metadata accuracy.​Microsoft Fabric collector:​​ Fixed an issue where Direct Lake tables displayed null schema names when the source schema was not explicitly defined, improving metadata accuracy.


Release version 2.322

Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

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Release version

​​2.322

Release date

9 April, 2026​​

Docker image ID ​ ​

​

Link to download the Docker image:​​ ​https://hub.docker.com/r/datadotworld/dwcc/tags

  • arm64:​​ e4109d09f97b6c08203ac650d0ee40861bfb33289e6b5ed93594998e873fa5c9
  • ​amd64:​​ 5fb790e00ccf59e1d898b044fd28c12357d0d4473c9b76aab42337868024243e

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


​

Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.322/dwcc-2.322.zip

  • ​​Sha256:​​ 58affe2890175d68e31d78be70a8dd7e812ab799817d5f9f1555ee236fbd124d

New features and changes​

  • ​Hive Metastore collector​​: New collector added for Hive Metastore, enabling direct metadata harvesting from the Hive Metastore database (PostgreSQL, Oracle, MySQL/MariaDB, or SQL Server) without requiring HiveServer2. The collector harvests databases, schemas, tables, columns, Hive-specific table properties, and basic view lineage. This provides a lightweight alternative for environments where HiveServer2 is unavailable or when only structural metadata is needed.

    This collector replaces the existing Hive and Hive Metastore collectors.

  • ​​Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, Microsoft SQL Server, and SAP HANA collectors:​​ Added sample data preview capability, enabling the catalog to display sample of table data. When Sensitive Data Classification is enabled, sensitive columns are automatically masked in the preview, ensuring secure data visibility.​​

Bug fixes

  • Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors: Reduced unnecessary warning messages during SQL lineage processing, improving log clarity.


Release version 2.321

Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

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Details about the release

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Release version

​​2.321

Release date

6 April, 2026​​

Docker image ID ​ ​

​

Link to download the Docker image:​​ ​https://hub.docker.com/r/datadotworld/dwcc/tags

  • arm64:​​ 52f04fc8ca88faa30bf6eb2ca0b791b442226c90b4dc99b5ed0a678fe7df00ba
  • ​amd64:​​ 7c08b1edc26f1ff155615f7e2ff5fb4047e18c9440b4a376fc43c9130f8d0419

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


​

Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.321/dwcc-2.321.zip

  • ​​Sha256:​​ 7adbfd2c642919426ee6cce7ed595637b556f8343c6f7e8c9f816897624e5abd

New features and changes​

  • BigQuery collector:​​ The collector now harvests primary and foreign keys, expanding metadata coverage for BigQuery table relationships.

Bug fixes

  • All collectors​​: Fixed an issue where boolean false values in YAML configuration files were not properly recognized.
  • Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors: Resolved memory issues when processing columns with very large string values, improving collector stability.
  • Tableau collector: ​​ Improved handling of recursive field queries, enhancing collection reliability for complex Tableau workbooks.


Release version 2.320

Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

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Details about the release

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Release version

​​2.320

Release date

24 March, 2026​​

Docker image ID ​ ​

​

Link to download the Docker image:​​ ​https://hub.docker.com/r/datadotworld/dwcc/tags

  • arm64:​​ 50f082f76e571a64a4646f5cd4b586a4bf4cb8f2ddcec87f714cf7f919a9d7ec
  • ​amd64:​​ 37a8251743c69844f13e072d4e4b70984a364a443cca61146a80abcf67550ad3

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


​

Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.320/dwcc-2.320.zip

  • ​​Sha256:​​ 154ef9d2a2d9c40b64ccea5c9fc5c4e7d84df041a89f8c83f1a1d380d55cc795

New features and changes​

  • Qlik Replicate collector: New collector added for Qlik Replicate, enabling metadata harvesting from Qlik's data replication platform.

Bug fixes

  • Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors: Fixed column statistics metrics to ensure consistent data type handling across database sources.


Release version 2.319



Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

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Release version

​​2.319

Release date

20 March, 2026​​

Docker image ID ​ ​

​

Link to download the Docker image:​​ ​https://hub.docker.com/r/datadotworld/dwcc/tags

  • arm64:​​ 240148c840232c381e5b41c87797a23b2940ccacbe94cf319674c138bed38bd0
  • ​amd64:​​ fe657b4c2fdacd2628fe410c01cd9905eac93cf32df597e3b807bb9ea8c3f760

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


​

Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.319/dwcc-2.319.zip

  • ​​Sha256:​​ 02c06dc48d7b31955a50dd389c5de2ccf8341d2edfa6190241d968c68b5f4a9e

New features and changes​

  • ​​Microsoft SQL Server collector:​​ The collector now collects usage metrics, providing insights into table and query access patterns.​
  • BigQuery collector:​​ Support added for harvesting multiple BigQuery projects in a single run, improving efficiency for multi-project environments.

​

Bug fixes

  • ​Qlik Talend Data Integration collector:​​ Resolved an issue that caused collector failures in certain configurations.​
  • ServiceNow collector:​​ Improved metadata structure for tables and fields, ensuring better catalog integration.erviceNow collector:​​ Improved metadata structure for tables and fields, ensuring better catalog integration.


Release version 2.318



Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

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Release version

​​2.318

Release date

16 March, 2026​​

Docker image ID ​ ​

​

Link to download the Docker image:​​ ​https://hub.docker.com/r/datadotworld/dwcc/tags

  • arm64:​​ a06cd5cf09a1e0d4ba4b98e9fb45d3196f4a4ac16fabd646c411aeb98e7306fb
  • ​amd64:​​ 98fcbc2ee0f20128ce2b09a86fc98c2c637af900ad4809700674bc59566dd35f

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


​

Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.318/dwcc-2.318.zip

  • ​​Sha256:​​ 60f31dffdd14a4dabe1f608d05513e8aa4708a36bb752122496d6e840de379b7

New features and changes​

  • ​​​Airflow collector: Support added for for Airflow 3.x, enabling metadata collection from the latest Airflow version.
  • ServiceNow collector: The collector now harvests data interfaces, expanding metadata coverage.
  • Snowflake collector: Added support for semantic views, providing metadata capture for Snowflake's business-friendly data representations.
  • SQL Server Integration Services (SSIS) collector: Added lineage support for tables and SQL statements with variable references, improving lineage accuracy for dynamic SSIS workflows.

​

Bug fixes

  • ​​Databricks collector: Fixed regex used for parsing metric views, resolving parsing errors for certain metric view configurations.
  • Microsoft Fabric collector: Fixed an issue that occurred when property values were not present, improving collector stability.
  • Power BI Service and Microsoft Fabric collectors: Performance improvement while harvesting calculation groups, reducing collection time for Power BI models with calculation groups.
  • Microsoft SQL Server collector: Addressed issues with sample data size, ensuring consistent sample data collection across different table sizes.
  • ServiceNow collector: Fixed CatalogingEventReporter when off the main thread, resolving threading issues during collection.


Release version 2.317



Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

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Details about the release

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Release version

​​2.317

Release date

10 March, 2026​​

Docker image ID ​ ​

​

Link to download the Docker image:​​ ​https://hub.docker.com/r/datadotworld/dwcc/tags

  • arm64:​​ e846c9370306b3ccda5718eda3c6ca16b0719450263c5d00aed7339fc8734a85
  • ​amd64:​​ 8a24c367fe567a4f68bffd35c95d1ab3afc09bb8f6d774e669867de7de40d922

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


​

Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.317/dwcc-2.317.zip

  • ​​Sha256:​​ 757e46ec7c23a7710d86cc7bff9c691bd4028373120e673c33334de4f9199227

New features and changes​

  • ​Databricks collector:​​
    • Harvest information on Databricks Lakeflow, enabling complete metadata capture for Lakeflow workflows and pipelines.
    • Harvest Unity Catalog metastore metadata, expanding coverage of Databricks governance and catalog structures.
  • Snowflake collector:​​ Added Tasks harvesting capability, providing complete visibility into Snowflake automated processes and dependencies.
  • ​​Microsoft Fabric and Power BI Service collectors:​​ Support for harvesting Paginated Power BI Reports, including preview images, extending metadata coverage for Power BI assets.
  • Microsoft Fabric collector:​​ Added page size configuration and improved logging for better performance monitoring and troubleshooting.

​

Bug fixes

  • ​​SQL Server Integration Services (SSIS) collector:​​
    • Removed stored procedure dependency cataloging to improve accuracy and reduce false positive dependencies.
      • Fixed missing lineage for SQL statements, ensuring complete data flow visibility across SSIS packages.
  • ​​Tableau collector:​​ ​​Fixed null pointer exception (NPE) in field harvesting.


Release version 2.316



Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

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Details about the release

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Release version

​​2.316

Release date

26 February, 2026​​

Docker image ID ​ ​

​

Link to download the Docker image:​​ ​https://hub.docker.com/r/datadotworld/dwcc/tags

  • arm64:​​ 5c79245413855b71215747d6f699b4ee91b4724b845c31d306aa40d110d45712
  • ​amd64:​​ 7f85184ac29bb5ef31514ee918eba232ca63a61d12bdc2a1d3623f531eadc01f

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


​

Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.316/dwcc-2.316.zip

  • ​​Sha256:​​ 53860d91da7bd37a92c8ee0d294acbdc97ba8c81124f95f83b28aa4bb3687d7c

New features and changes​

  • ​Tableau collector:​​ Added an option to exclude hidden fields within published data sources.
  • Microsoft Fabric collector:​​ Added an option to exclude internal Delta table files from Lakehouse file cataloging, reducing noise in harvested metadata.
  • ​​Snowflake collector:​​ Now logs warnings for unsupported stage references in SQL, improving transparency during lineage harvesting.
  • ​​Athena collector:​​ Added include/exclude options for databases, giving users more control over collection scope.
  • ​Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors:​​ Reorganized database index harvesting for improved structure and consistency.

​

Bug fixes

  • ​Power BI and Microsoft Fabric collectors:​ Fixed the relationship between semantic models/dataflows and data sources to properly represent ​uses​​ relationships, improving lineage accuracy.
  • ​​Tableau collector:​​ ​​Corrected ​embedsView​​ relationships for unpublished views in published dashboards, ensuring complete dashboard-to-view associations.


Release version 2.315



Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

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Details about the release

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Details

Release version

​​2.315

Release date

18 February, 2026​​

Docker image ID ​ ​

​

Link to download the Docker image:​​ ​https://hub.docker.com/r/datadotworld/dwcc/tags

  • arm64:​​ 8be219e6c208b002ee00b5f6449ed48d41324019871021201c4c75d014d49192
  • ​amd64:​​ 29335e4af241dbbd7b7f4a658c16a8c6dce67e19cfd0d0dbbfd6aaf4fd44b5f4

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


​

Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.315/dwcc-2.315.zip

  • ​​Sha256:​​ 3c6b17add4a8041e2c0daf71bf8d70e715cb1a85066df1871fc17c13905258d7

​Bug fixes

  • ​​OpenAPI collector:​​Added handling to prevent a null pointer exception when expected content is missing from an OpenAPI specification.
  • ​​Tableau collector:​​ Ensured that published dashboards correctly include ​embedsView​​ relationships, even when they contain unpublished sheets.


Release version 2.314



Bug fixes and enhancements for metadata collectors are released regularly. Go here to to view the past release notes.

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Details about the release

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Release version

​​2.314

Release date

11 February, 2026​​

Docker image ID ​ ​

​

Link to download the Docker image:​​ ​https://hub.docker.com/r/datadotworld/dwcc/tags

  • arm64:​​ 0adc1b5b5e1ae8867de08c78e0467c2531aa74c877226a66457363c67b1d4388
  • ​amd64:​​ 8618be4fb0512e3ba9ebc95f94f210ad0cc7aa0c14f189539e2bfba4c8b47bcc

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


​

Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.314dwcc-2.314.zip

  • ​​Sha256:​​ 7859fd33e1529abb99b569538c9897209c968e80be387c4434322583473875ed

​Bug fixes

  • ​​​ServiceNow collector:​​ Fixed an issue in the generation of IRIs for database tables referenced by other resources, ensuring consistent and accurate identification of those tables in the catalog.