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Posted to issues@spark.apache.org by "Takeshi Yamamuro (Jira)" <ji...@apache.org> on 2021/04/22 13:13:00 UTC
[jira] [Created] (SPARK-35192) Port minimal TPC-DS datagen code
from databricks/spark-sql-perf
Takeshi Yamamuro created SPARK-35192:
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Summary: 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
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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