[SPARK-55108][PYTHON] Use the latest pandas-stubs for type check #436
zhengruifengAnnotations
2 errors
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DynamicPartitionPruningHiveScanSuiteAEOn.broadcast a single key in a HashedRelation:
org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuiteAEOn#L1
org.apache.spark.sql.AnalysisException: org.apache.hadoop.hive.ql.metadata.HiveException: Exception when loading 100 in table fact with loadPath=file:/home/runner/work/spark/spark/target/tmp/warehouse-a3aebe35-5a2a-47cd-b764-7ec835e63359/fact/.hive-staging_hive_2026-01-20_23-27-17_747_7975136007018106446-1/-ext-10000
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AdaptiveQueryExecSuite.SPARK-47148: AQE should avoid to submit shuffle job on cancellation:
org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite#L929
org.scalatest.exceptions.TestFailedException: errMsgList.exists(((x$25: String) => x$25.contains("coalesce test error"))) was false
The error message should contain 'coalesce test error', but got:
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[SCALAR_SUBQUERY_TOO_MANY_ROWS] More than one row returned by a subquery used as an expression. SQLSTATE: 21000
== SQL (line 1, position 12) ==
SELECT id, (SELECT slow_udf() FROM range(2)) FROM range(5)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Full stacktrace of original doTryWithCallerStacktrace caller
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