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【TiDB 版本】
4.0.5
【问题描述】
各位好。目前用现有的spark集群集成tispark跑spark任务时，会出现spark里task任务执行慢的问题。
查看log后发现，目前任务主要卡在doReadNextRegionChunks这一步
java.lang.Thread.State: WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0x000000077e4d7db0> (a java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject)
at java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(AbstractQueuedSynchronizer.java:2039)
at java.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:442)
at java.util.concurrent.ExecutorCompletionService.take(ExecutorCompletionService.java:193)
at com.pingcap.tikv.operation.iterator.DAGIterator.doReadNextRegionChunks(DAGIterator.java:184)
at com.pingcap.tikv.operation.iterator.DAGIterator.readNextRegionChunks(DAGIterator.java:166)
at com.pingcap.tikv.operation.iterator.DAGIterator.hasNext(DAGIterator.java:112)
at org.apache.spark.sql.tispark.TiRowRDD$$anon$1.hasNext(TiRowRDD.scala:69)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.coprocessorrdd_nextBatch_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithKeys_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$12$$anon$1.hasNext(WholeStageCodegenExec.scala:631)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:134)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$4.apply(Executor.scala:366)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1381)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:372)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
请问下，这个有什么解决方式吗，还是建立链接的时候需要添加什么参数
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