yaooqinn opened a new pull request, #42627:
URL: https://github.com/apache/spark/pull/42627
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### What changes were proposed in this pull request?
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This PR set a character length limit for the error message and a stack depth
limit for error stack traces to the console appender in tests.
### Why are the changes needed?
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In testing, intentional and unintentional failures are created to generate
extensive log volumes. For instance, a single FileNotFound error may be logged
multiple times in the writer, task runner, task set manager, and other areas,
resulting in thousands of lines per failure.
### Does this PR introduce _any_ user-facing change?
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no
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```
15:59:55.446 ERROR
org.apache.spark.sql.execution.datasources.FileFormatWriter: Job
job_202308230059551630377040190578321_1301 aborted.
15:59:55.446 ERROR org.apache.spark.executor.Executor: Exception in task 0.0
in stage 1301.0 (TID 1595)
org.apache.spark.SparkException: [TASK_WRITE_FAILED] Task failed while
writing rows to
file:/Users/hzyaoqin/spark/target/tmp/spark-67cce58e-dfb2-4811-a9c0-50ec4c90d1f1.
at
org.apache.spark.sql.errors.QueryExecutionErrors$.taskFailedWhileWritingRowsError(QueryExecutionErrors.scala:765)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:420)
at
org.apache.spark.sql.execution.datasources.WriteFilesExec.$anonfun$doExecuteWrite$1(WriteFiles.scala:100)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
15:59:55.446 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 0.0
in stage 1301.0 (TID 1595) (10.221.97.38 executor driver):
org.apache.spark.SparkException: [TASK_WRITE_FAILED] Task failed while writing
rows to
file:/Users/hzyaoqin/spark/target/tmp/spark-67cce58e-dfb2-4811-a9c0-50ec4c90d1f1.
at
org.apache.spark.sql.errors.QueryExecutionErrors$.taskFailedWhileWritingRowsError(QueryExecutionErrors.scala:765)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:420)
at org.apache.spark.sql.execution.datasources....
15:59:55.446 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in
stage 1301.0 failed 1 times; aborting job
15:59:55.447 ERROR
org.apache.spark.sql.execution.datasources.FileFormatWriter: Aborting job
0ead031e-c9dd-446b-b20b-c76ec54978b1.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
stage 1301.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1301.0
(TID 1595) (10.221.97.38 executor driver): org.apache.spark.SparkException:
[TASK_WRITE_FAILED] Task failed while writing rows to
file:/Users/hzyaoqin/spark/target/tmp/spark-67cce58e-dfb2-4811-a9c0-50ec4c90d1f1.
at
org.apache.spark.sql.errors.QueryExecutionErrors$.taskFailedWhileWritingRowsError(QueryExecutionErrors.scala:765)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:420)
at
org.apache.spark.sql.execution.datasources.WriteFilesExec.$anonfun$doExecuteWrite$1(WriteFiles.scala:100)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
15:59:55.579 ERROR org.apache.spark.executor.Executor: Exception in task 0.0
in stage 1303.0 (TID 1597)
```
### Was this patch authored or co-authored using generative AI tooling?
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