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Release version 2.316

February 26th, 2026


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

Item

Details

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.
  • ​​All collectors:​ Added support for a new ​--graph-storage-mode​​ option to control how RDF triples are stored during collection. This option can help manage memory usage in large collection runs.
    • ​MEMORY​​ (default): Stores RDF triples in memory.
    • ​​TEMP_DIR​​: Stores RDF triples temporarily on disk.
  • ​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.
    • Introduced hostname normalization support for IRI minting to prevent duplicate resources when different collectors report the same database using different hostname formats. ​

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  • ​​Tableau collector:​​ ​​Corrected ​embedsView​​ relationships for unpublished views in published dashboards, ensuring complete dashboard-to-view associations.