解决spark程序报错:Caused by: java.util.concurrent.TimeoutException: Futures timed out after [300 seconds]...

本文记录了一个Spark SQL执行过程中出现的Broadcast Hash Join超时错误,并提供了详细的堆栈跟踪信息。通过分析,确定了问题原因在于广播阶段超时,并给出了相应的解决方案链接。

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报错信息:

09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:49)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.aggregate.TungstenAggregate.doExecute(TungstenAggregate.scala:80)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.Exchange.prepareShuffleDependency(Exchange.scala:164)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.Exchange$$anonfun$doExecute$1.apply(Exchange.scala:254)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.Exchange$$anonfun$doExecute$1.apply(Exchange.scala:248)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     ... 64 more
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO - Caused by: java.util.concurrent.TimeoutException: Futures timed out after [300 seconds]
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at scala.concurrent.Await$.result(package.scala:107)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.joins.BroadcastHashJoin.doExecute(BroadcastHashJoin.scala:107)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.Project.doExecute(basicOperators.scala:46)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1.apply(TungstenAggregate.scala:86)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1.apply(TungstenAggregate.scala:80)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48)
09-05-2017 09:58:44 CST xxxx_job_1494294485570174 INFO -     ... 73 more
根据最后的Caused by信息和stack trace信息进行搜索,确定是broacast阶段超时,解决方法:

 

转载于:https://www.cnblogs.com/aprilrain/p/6916311.html

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