[
https://issues.apache.org/jira/browse/SPARK-32808?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yang Jie updated SPARK-32808:
-----------------------------
Description:
Now there are 319 TESTS FAILED based on commit
`f5360e761ef161f7e04526b59a4baf53f1cf8cd5`
{code:java}
Run completed in 1 hour, 20 minutes, 25 seconds.
Total number of tests run: 8485
Suites: completed 357, aborted 0
Tests: succeeded 8166, failed 319, canceled 1, ignored 52, pending 0
*** 319 TESTS FAILED ***
{code}
There are 293 failures associated with TPCDS_XXX_PlanStabilitySuite and
TPCDS_XXX_PlanStabilityWithStatsSuite:
* TPCDSV2_7_PlanStabilitySuite(33 FAILED)
* TPCDSV1_4_PlanStabilityWithStatsSuite(94 FAILED)
* TPCDSModifiedPlanStabilityWithStatsSuite(21 FAILED)
* TPCDSV1_4_PlanStabilitySuite(92 FAILED)
* TPCDSModifiedPlanStabilitySuite(21 FAILED)
* TPCDSV2_7_PlanStabilityWithStatsSuite(32 FAILED)
Other 26 FAILED cases as follow:
* StreamingAggregationSuite
** count distinct - state format version 1
** count distinct - state format version 2
* GeneratorFunctionSuite
** explode and other columns
** explode_outer and other columns
* UDFSuite
** SPARK-26308: udf with complex types of decimal
** SPARK-32459: UDF should not fail on WrappedArray
* SQLQueryTestSuite
** decimalArithmeticOperations.sql
** postgreSQL/aggregates_part2.sql
** ansi/decimalArithmeticOperations.sql
** udf/postgreSQL/udf-aggregates_part2.sql - Scala UDF
** udf/postgreSQL/udf-aggregates_part2.sql - Regular Python UDF
* WholeStageCodegenSuite
** SPARK-26680: Stream in groupBy does not cause StackOverflowError
* DataFrameSuite:
** explode
** SPARK-28067: Aggregate sum should not return wrong results for decimal
overflow
** Star Expansion - ds.explode should fail with a meaningful message if it
takes a star
* DataStreamReaderWriterSuite
** SPARK-18510: use user specified types for partition columns in file sources
* OrcV1QuerySuite\OrcV2QuerySuite
** Simple selection form ORC table * 2
* ExpressionsSchemaSuite
** Check schemas for expression examples
* DataFrameStatSuite
** SPARK-28818: Respect original column nullability in `freqItems`
* JsonV1Suite\JsonV2Suite\JsonLegacyTimeParserSuite
** SPARK-4228 DataFrame to JSON * 3
** backward compatibility * 3
was:
Now there are 319 TESTS FAILED based on commit
`f5360e761ef161f7e04526b59a4baf53f1cf8cd5`
{code:java}
Run completed in 1 hour, 20 minutes, 25 seconds.
Total number of tests run: 8485
Suites: completed 357, aborted 0
Tests: succeeded 8166, failed 319, canceled 1, ignored 52, pending 0
*** 319 TESTS FAILED ***
{code}
> Pass all `sql/core` module UTs in Scala 2.13
> --------------------------------------------
>
> Key: SPARK-32808
> URL: https://issues.apache.org/jira/browse/SPARK-32808
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Yang Jie
> Priority: Major
>
> Now there are 319 TESTS FAILED based on commit
> `f5360e761ef161f7e04526b59a4baf53f1cf8cd5`
> {code:java}
> Run completed in 1 hour, 20 minutes, 25 seconds.
> Total number of tests run: 8485
> Suites: completed 357, aborted 0
> Tests: succeeded 8166, failed 319, canceled 1, ignored 52, pending 0
> *** 319 TESTS FAILED ***
> {code}
>
> There are 293 failures associated with TPCDS_XXX_PlanStabilitySuite and
> TPCDS_XXX_PlanStabilityWithStatsSuite:
> * TPCDSV2_7_PlanStabilitySuite(33 FAILED)
> * TPCDSV1_4_PlanStabilityWithStatsSuite(94 FAILED)
> * TPCDSModifiedPlanStabilityWithStatsSuite(21 FAILED)
> * TPCDSV1_4_PlanStabilitySuite(92 FAILED)
> * TPCDSModifiedPlanStabilitySuite(21 FAILED)
> * TPCDSV2_7_PlanStabilityWithStatsSuite(32 FAILED)
>
> Other 26 FAILED cases as follow:
> * StreamingAggregationSuite
> ** count distinct - state format version 1
> ** count distinct - state format version 2
> * GeneratorFunctionSuite
> ** explode and other columns
> ** explode_outer and other columns
> * UDFSuite
> ** SPARK-26308: udf with complex types of decimal
> ** SPARK-32459: UDF should not fail on WrappedArray
> * SQLQueryTestSuite
> ** decimalArithmeticOperations.sql
> ** postgreSQL/aggregates_part2.sql
> ** ansi/decimalArithmeticOperations.sql
> ** udf/postgreSQL/udf-aggregates_part2.sql - Scala UDF
> ** udf/postgreSQL/udf-aggregates_part2.sql - Regular Python UDF
> * WholeStageCodegenSuite
> ** SPARK-26680: Stream in groupBy does not cause StackOverflowError
> * DataFrameSuite:
> ** explode
> ** SPARK-28067: Aggregate sum should not return wrong results for decimal
> overflow
> ** Star Expansion - ds.explode should fail with a meaningful message if it
> takes a star
> * DataStreamReaderWriterSuite
> ** SPARK-18510: use user specified types for partition columns in file
> sources
> * OrcV1QuerySuite\OrcV2QuerySuite
> ** Simple selection form ORC table * 2
> * ExpressionsSchemaSuite
> ** Check schemas for expression examples
> * DataFrameStatSuite
> ** SPARK-28818: Respect original column nullability in `freqItems`
> * JsonV1Suite\JsonV2Suite\JsonLegacyTimeParserSuite
> ** SPARK-4228 DataFrame to JSON * 3
> ** backward compatibility * 3
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