Release version 2.324

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

​​2.324

Release date

22 April, 2026​​

Docker image ID ​ ​

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

  • arm64:​​ 28e673ac71f2877fff1441449e094e35d3c20bc4d395b2c876fadeaa66aad1cd
  • ​amd64:​​ 9a0c96cfcf22cb124e4b8a354fbdcd11ac2036a0b94bbd688f3091d3e7c94640

Jar file ​ ​ ​ ​ ​​ ​ ​ ​


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Link to download the JAR file:​​ ​https://releases.data.world/dwcc/2.324/dwcc-2.324.zip

  • ​​Sha256:​​ b711b1582c551bd23518483471a3873935d7c66a8033acb89667d0c6d1663016

New features and changes

  • ​​AWS Glue collector​​: Support added for harvesting metadata from multiple AWS regions in a single run, improving efficiency for multi-region environments. The collector now also harvests table parameters (advanced properties), expanding metadata coverage.​​
  • ​ServiceNow collector:​​ The collector now harvests Vault classification metadata, providing enhanced data governance visibility.

Bug fixes

  • ​BigQuery collector: ​
    • Fixed acceptance of invalid credential formats, ensuring proper authentication validation.
    • Resolved an issue that caused crashes when the datasets parameter was not specified.
    • Fixed collection failures due to dependency conflicts.​
  • ​​Databricks collector:​​ Fixed Service Principal authentication failures, ensuring reliable authentication.​​
  • ​Dremio collector:​​ Fixed an issue where out-of-scope schemas were being collected during API calls, improving collection accuracy.​
  • ​​Tableau collector​​: ​
    • Improved error messaging for API base URL configuration issues, making troubleshooting easier.
    • Fixed collection failures for tenants with deeply nested composite fields.​​
  • ​Oracle collector: ​​ ​ ​ ​
    • Fixed missing default values when using DBA access. ​ ​ ​
    • Resolved collection failures on wrapped (encrypted) package bodies, ensuring complete metadata capture.​
  • ​Snowflake, Redshift, Databricks, Denodo, Dremio, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server, SAP HANA collectors:​​ Fixed errors when encountering Infinity float values in numeric columns, preventing data type errors.​