You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2026/07/25 00:13:00 UTC
[jira] [Updated] (SPARK-58342) Add unit tests for the SCD1 AutoCDC auxiliary table spec
[ https://issues.apache.org/jira/browse/SPARK-58342?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated SPARK-58342:
-----------------------------------
Labels: pull-request-available (was: )
> Add unit tests for the SCD1 AutoCDC auxiliary table spec
> --------------------------------------------------------
>
> Key: SPARK-58342
> URL: https://issues.apache.org/jira/browse/SPARK-58342
> Project: Spark
> Issue Type: Sub-task
> Components: Declarative Pipelines
> Affects Versions: 5.0.0
> Reporter: Andreas Neumann
> Priority: Major
> Labels: pull-request-available
>
> AutoCdcAuxiliaryTable.buildScd1AuxiliaryTableSpecFor had no focused unit test: its behavior was only exercised indirectly via higher-level pipeline suites. SPARK-58320 added a dedicated AutoCdcScd1AuxiliaryTableSpecSuite-style suite for the SCD2 spec builder (AutoCdcScd2AuxiliaryTableSpecSuite); this adds the parallel coverage for SCD1.
> The new AutoCdcScd1AuxiliaryTableSpecSuite resolves a real SCD1 AutoCDC graph and asserts the derived auxiliary-table spec:
> - the schema is exactly the key columns plus the CDC metadata column (no user data columns, no SCD2 framework columns) -- SCD1 aux stores per-key tombstones, not full rows;
> - the CDC metadata column uses the SCD1 metadata struct schema and is non-null;
> - the spec records ScdType.Type1, the key column names (property + expectedKeyFields), and the correct identifiers;
> - composite keys are all carried through.
> Test-only change; no production code is modified.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org