cxzl25 commented on code in PR #36787:
URL: https://github.com/apache/spark/pull/36787#discussion_r903574621
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sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcQuerySuite.scala:
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@@ -832,6 +832,18 @@ abstract class OrcQuerySuite extends OrcQueryTest with
SharedSparkSession {
}
}
}
+
+ test("SPARK-39387: BytesColumnVector should not throw RuntimeException due
to overflow") {
Review Comment:
This UT requires a large heap, using end-to-end writing orc, and covering
tests.
Maybe we can use ignore first.
Based on this comment
https://github.com/apache/spark/pull/36772#issuecomment-1147811164, Hive also
increased `xmx` to make UT pass.
I tried to reduce the size of each batch write, but because there are still
some temporary buffers in the process of spark to orc writing, it may oom.
And if the oom error is intercepted, the Spark process will exit abnormally,
and the ut will fail.
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