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https://issues.apache.org/jira/browse/SPARK-35192?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17341321#comment-17341321
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Apache Spark commented on SPARK-35192:
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User 'maropu' has created a pull request for this issue:
https://github.com/apache/spark/pull/32479
> Port minimal TPC-DS datagen code from databricks/spark-sql-perf
> ---------------------------------------------------------------
>
> Key: SPARK-35192
> URL: https://issues.apache.org/jira/browse/SPARK-35192
> Project: Spark
> Issue Type: Test
> Components: SQL, Tests
> Affects Versions: 3.2.0
> Reporter: Takeshi Yamamuro
> Assignee: Takeshi Yamamuro
> Priority: Minor
> Fix For: 3.2.0
>
>
> This PR aims at porting minimal code to generate TPC-DS data from
> databricks/spark-sql-perf. The classes in a new class file tpcdsDatagen.scala
> are basically copied from the databricks/spark-sql-perf codebase.
> We frequently use TPCDS data now for benchmarks/tests, but the classes for
> the TPCDS schemas of datagen and benchmarks/tests are managed separately,
> e.g.,
> https://github.com/apache/spark/blob/master/sql/core/src/test/scala/org/apache/spark/sql/TPCDSBase.scala
> https://github.com/databricks/spark-sql-perf/blob/master/src/main/scala/com/databricks/spark/sql/perf/tpcds/TPCDSTables.scala
> I think this causes some inconveniences, e.g., we need to update both files
> in the separate repositories if we update the TPCDS schema #32037. So, it
> would be useful for the Spark codebase to generate them by referring to the
> same schema definition.
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