JkSelf commented on code in PR #52039:
URL: https://github.com/apache/spark/pull/52039#discussion_r2467624448
##########
sql/core/src/test/scala/org/apache/spark/sql/execution/SQLExecutionSuite.scala:
##########
@@ -50,7 +50,7 @@ class SQLExecutionSuite extends SparkFunSuite with
SQLConfHelper {
}
}
- test("concurrent query execution with fork-join pool (SPARK-13747)") {
+ ignore("concurrent query execution with fork-join pool (SPARK-13747)") {
Review Comment:
@cloud-fan Thanks for your reply.
Here is the error stack.
```
org.apache.spark.SparkException: [SPARK_JOB_CANCELLED] Job 20 cancelled part
of cancelled job tags
spark-session-42c4d99b-c576-4172-b5ed-56c61bb79f14-execution-root-id-25164
SQLSTATE: XXKDA[0m[0m
at
org.apache.spark.errors.SparkCoreErrors$.sparkJobCancelled(SparkCoreErrors.scala:222)[0m[0m
at
org.apache.spark.scheduler.DAGScheduler.handleJobCancellation(DAGScheduler.scala:2918)[0m[0m
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleJobTagCancelled$7(DAGScheduler.scala:1266)[0m[0m
at
scala.runtime.java8.JFunction1$mcVI$sp.apply(JFunction1$mcVI$sp.scala:18)[0m[0m
at scala.collection.mutable.HashSet$Node.foreach(HashSet.scala:450)[0m[0m
at scala.collection.mutable.HashSet.foreach(HashSet.scala:376)[0m[0m
at
org.apache.spark.scheduler.DAGScheduler.handleJobTagCancelled(DAGScheduler.scala:1266)[0m[0m
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3219)[0m[0m
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:3194)[0m[0m
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:3183)[0m[0m
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:50)[0m[0m
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:1017)[0m[0m
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2489)[0m[0m
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2510)[0m[0m
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2529)[0m[0m
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2554)[0m[0m
at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1057)[0m[0m
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)[0m[0m
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)[0m[0m
at org.apache.spark.rdd.RDD.withScope(RDD.scala:417)[0m[0m
at org.apache.spark.rdd.RDD.collect(RDD.scala:1056)[0m[0m
at
org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:462)[0m[0m
at
org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$executeCollect$1(AdaptiveSparkPlanExec.scala:396)[0m[0m
at
org.apache.spark.sql.execution.adaptive.ResultQueryStageExec.$anonfun$doMaterialize$1(QueryStageExec.scala:328)[0m[0m
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withThreadLocalCaptured$4(SQLExecution.scala:348)[0m[0m
at
org.apache.spark.sql.execution.SQLExecution$.withSessionTagsApplied(SQLExecution.scala:298)[0m[0m
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withThreadLocalCaptured$3(SQLExecution.scala:346)[0m[0m
at
org.apache.spark.JobArtifactSet$.withActiveJobArtifactState(JobArtifactSet.scala:94)[0m[0m
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withThreadLocalCaptured$2(SQLExecution.scala:342)[0m[0m
at
java.base/java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1768)[0m[0m
at
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)[0m[0m
at
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)[0m[0m
at java.base/java.lang.Thread.run(Thread.java:840)[0m[0m
```
According to the following log, the job was actually canceled twice in
parallel mode.
```
Line 2: 2025-10-27T05:32:55.7283226Z 05:32:55.724 WARN
org.apache.spark.sql.execution.SQLExecution: The SQLExecution is
org.apache.spark.sql.execution.SQLExecution$@163503c1 and the executionIdJobTag
is spark-session-42c4d99b-c576-4172-b5ed-56c61bb79f14-execution-root-id-25164
Line 10: 2025-10-27T05:32:55.7668804Z 05:32:55.765 WARN
org.apache.spark.scheduler.TaskSetManager: Lost task 0.0 in stage 29.0 (TID 56)
(localhost executor driver): TaskKilled (Stage cancelled: [SPARK_JOB_CANCELLED]
Job 20 cancelled part of cancelled job tags
spark-session-42c4d99b-c576-4172-b5ed-56c61bb79f14-execution-root-id-25164
SQLSTATE: XXKDA)
Line 73: 2025-10-27T05:32:57.1915923Z [0m[[0m[0minfo[0m] [0m[0m[31m
org.apache.spark.SparkException: [SPARK_JOB_CANCELLED] Job 20 cancelled part of
cancelled job tags
spark-session-42c4d99b-c576-4172-b5ed-56c61bb79f14-execution-root-id-25164
SQLSTATE: XXKDA[0m[0m
```
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