我的原创地址：https://dongkelun.com/2019/01/09/sparkExceptions/
前言
总结Spark开发中遇到的异常及解决办法，之前也写过几篇，之所以不再一个异常写一篇博客，是因为现在Spark用的比较熟悉了一些，觉得没必要把异常信息写那么详细了，所以就把异常总结在一篇博客里了，这样既能备忘也方便查找。
1、之前的几篇
- hive查询报错:java.io.IOException:org.apache.parquet.io.ParquetDecodingException
- spark-submit报错:Application application_1529650293575_0148 finished with failed status
2、 spark.executor.memoryOverhead
堆外内存（默认是executor内存的10%），当数据量比较大的时候，如果按默认的就会有下面的异常，导致程序崩溃
异常
Container killed by YARN for exceeding memory limits. 1.8 GB of 1.8 GB physical memory used. Consider boosting spark.yarn.executor.memoryOverhead.
解决
具体值根据实际情况配置
新版
--conf spark.executor.memoryOverhead=2048
旧版
--conf spark.yarn.executor.memoryOverhead=2048
新版如果用旧版，会:
WARN SparkConf: The configuration key 'spark.yarn.executor.memoryOverhead' has been deprecated as of Spark 2.3 and may be removed in the future. Please use the new key 'spark.executor.memoryOverhead' instead.
3、No more replicas available for rdd_
异常
19/01/08 12:36:46 WARN BlockManagerMasterEndpoint: No more replicas available for rdd_3250_73 !
19/01/08 12:36:46 WARN BlockManagerMasterEndpoint: No more replicas available for rdd_12_38 !
19/01/08 12:36:46 WARN BlockManagerMasterEndpoint: No more replicas available for rdd_3250_38 !
19/01/08 12:36:46 WARN BlockManagerMasterEndpoint: No more replicas available for rdd_3250_148 !
19/01/08 12:36:46 WARN BlockManagerMasterEndpoint: No more replicas available for rdd_3250_6 !
19/01/08 12:36:46 WARN BlockManagerMasterEndpoint: No more replicas available for rdd_3250_112 !
19/01/08 12:36:46 WARN BlockManagerMasterEndpoint: No more replicas available for rdd_12_100 !
解决
增大executor的内存
--executor-memory 4G
4、Failed to allocate a page
异常
19/01/09 09:12:39 WARN TaskMemoryManager: Failed to allocate a page (1048576 bytes), try again.
19/01/09 09:12:41 WARN TaskMemoryManager: Failed to allocate a page (1048576 bytes), try again.
19/01/09 09:12:41 WARN NioEventLoop: Unexpected exception in the selector loop.
java.lang.OutOfMemoryError: GC overhead limit exceeded
at java.lang.Integer.valueOf(Integer.java:832)
at sun.nio.ch.EPollSelectorImpl.updateSelectedKeys(EPollSelectorImpl.java:120)
at sun.nio.ch.EPollSelectorImpl.doSelect(EPollSelectorImpl.java:98)
at sun.nio.ch.SelectorImpl.lockAndDoSelect(SelectorImpl.java:86)
at sun.nio.ch.SelectorImpl.select(SelectorImpl.java:97)
at io.netty.channel.nio.SelectedSelectionKeySetSelector.select(SelectedSelectionKeySetSelector.java:62)
at io.netty.channel.nio.NioEventLoop.select(NioEventLoop.java:753)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:409)
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
at java.lang.Thread.run(Thread.java:748)
19/01/09 09:12:46 WARN TransportChannelHandler: Exception in connection from /172.16.29.236:47012
java.lang.OutOfMemoryError: GC overhead limit exceeded
19/01/09 09:12:44 WARN AbstractChannelHandlerContext: An exception 'java.lang.OutOfMemoryError: GC overhead limit exceeded' [enable DEBUG level for full stacktrace] was thrown by a user handler's exceptionCaught() method while handling the following exception:
java.lang.OutOfMemoryError: GC overhead limit exceeded
19/01/09 09:12:42 WARN TaskMemoryManager: Failed to allocate a page (1048576 bytes), try again.
Exception in thread "dispatcher-event-loop-11" java.lang.OutOfMemoryError: GC overhead limit exceeded
19/01/09 09:12:51 WARN TaskMemoryManager: Failed to allocate a page (1048576 bytes), try again.
19/01/09 09:12:53 WARN TransportChannelHandler: Exception in connection from /172.16.29.233:34226
java.lang.OutOfMemoryError: GC overhead limit exceeded
解决
增大driver的内存
--driver-memory 6G
参考
TaskMemoryManager: Failed to allocate a page, try again
5、Uncaught exception in thread task-result-getter-3
异常
19/01/10 09:31:50 ERROR Utils: Uncaught exception in thread task-result-getter-3
java.lang.OutOfMemoryError: Java heap space
at java.lang.reflect.Array.newArray(Native Method)
at java.lang.reflect.Array.newInstance(Array.java:75)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1938)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1566)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2286)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2210)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2068)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1572)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1974)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1566)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:430)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:108)
at org.apache.spark.scheduler.DirectTaskResult.value(TaskResult.scala:88)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:94)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1991)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3.run(TaskResultGetter.scala:62)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Exception in thread "task-result-getter-3" java.lang.OutOfMemoryError: Java heap space
at java.lang.reflect.Array.newArray(Native Method)
at java.lang.reflect.Array.newInstance(Array.java:75)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1938)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1566)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2286)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2210)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2068)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1572)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1974)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1566)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:430)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:108)
at org.apache.spark.scheduler.DirectTaskResult.value(TaskResult.scala:88)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:94)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1991)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3.run(TaskResultGetter.scala:62)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
19/01/10 09:31:51 ERROR Utils: Uncaught exception in thread task-result-getter-0
java.lang.OutOfMemoryError: Java heap space
at java.lang.reflect.Array.newArray(Native Method)
at java.lang.reflect.Array.newInstance(Array.java:75)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1938)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1566)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2286)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2210)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2068)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1572)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1974)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1566)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:430)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:108)
at org.apache.spark.scheduler.DirectTaskResult.value(TaskResult.scala:88)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:94)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1991)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3.run(TaskResultGetter.scala:62)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Exception in thread "task-result-getter-0" java.lang.OutOfMemoryError: Java heap space
at java.lang.reflect.Array.newArray(Native Method)
at java.lang.reflect.Array.newInstance(Array.java:75)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1938)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1566)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2286)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2210)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2068)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1572)
at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1974)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1566)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:430)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:108)
at org.apache.spark.scheduler.DirectTaskResult.value(TaskResult.scala:88)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:94)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1991)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3.run(TaskResultGetter.scala:62)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Exception in thread "main" java.util.concurrent.TimeoutException: Futures timed out after [300 seconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:201)
at org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecuteBroadcast(BroadcastExchangeExec.scala:136)
at org.apache.spark.sql.execution.InputAdapter.doExecuteBroadcast(WholeStageCodegenExec.scala:367)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeBroadcast$1.apply(SparkPlan.scala:149)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeBroadcast$1.apply(SparkPlan.scala:145)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:160)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:157)
at org.apache.spark.sql.execution.SparkPlan.executeBroadcast(SparkPlan.scala:145)
at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.prepareBroadcast(BroadcastHashJoinExec.scala:135)
at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.codegenInner(BroadcastHashJoinExec.scala:232)
at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.doConsume(BroadcastHashJoinExec.scala:102)
at org.apache.spark.sql.execution.CodegenSupport$class.consume(WholeStageCodegenExec.scala:181)
at org.apache.spark.sql.execution.ProjectExec.consume(basicPhysicalOperators.scala:36)
at org.apache.spark.sql.execution.ProjectExec.doConsume(basicPhysicalOperators.scala:66)
at org.apache.spark.sql.execution.CodegenSupport$class.consume(WholeStageCodegenExec.scala:181)
at org.apache.spark.sql.execution.joins.SortMergeJoinExec.consume(SortMergeJoinExec.scala:36)
at org.apache.spark.sql.execution.joins.SortMergeJoinExec.doProduce(SortMergeJoinExec.scala:633)
at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:88)
at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:83)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:160)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:157)
at org.apache.spark.sql.execution.CodegenSupport$class.produce(WholeStageCodegenExec.scala:83)
at org.apache.spark.sql.execution.joins.SortMergeJoinExec.produce(SortMergeJoinExec.scala:36)
at org.apache.spark.sql.execution.ProjectExec.doProduce(basicPhysicalOperators.scala:46)
at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:88)
at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:83)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:160)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:157)
at org.apache.spark.sql.execution.CodegenSupport$class.produce(WholeStageCodegenExec.scala:83)
at org.apache.spark.sql.execution.ProjectExec.produce(basicPhysicalOperators.scala:36)
at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.doProduce(BroadcastHashJoinExec.scala:97)
at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:88)
at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:83)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:160)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:157)
at org.apache.spark.sql.execution.CodegenSupport$class.produce(WholeStageCodegenExec.scala:83)
at org.apache.spark.sql.execution.joins.BroadcastHashJoinExec.produce(BroadcastHashJoinExec.scala:39)
at org.apache.spark.sql.execution.ProjectExec.doProduce(basicPhysicalOperators.scala:46)
at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:88)
at org.apache.spark.sql.execution.CodegenSupport$$anonfun$produce$1.apply(WholeStageCodegenExec.scala:83)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:160)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:157)
at org.apache.spark.sql.execution.CodegenSupport$class.produce(WholeStageCodegenExec.scala:83)
at org.apache.spark.sql.execution.ProjectExec.produce(basicPhysicalOperators.scala:36)
at org.apache.spark.sql.execution.WholeStageCodegenExec.doCodeGen(WholeStageCodegenExec.scala:524)
at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:576)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:136)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:132)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:160)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:157)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:132)
at org.apache.spark.sql.execution.DeserializeToObjectExec.doExecute(objects.scala:89)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:136)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:132)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:160)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:157)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:132)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:81)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:81)
at org.apache.spark.sql.Dataset.rdd$lzycompute(Dataset.scala:2975)
at org.apache.spark.sql.Dataset.rdd(Dataset.scala:2973)
at com.hs.xlzf.task.route.ServiceAreaFreq$.save_service_freq(ServiceAreaFreq.scala:161)
at com.hs.xlzf.task.route.ServiceAreaFreq$.main(ServiceAreaFreq.scala:36)
at com.hs.xlzf.task.route.ServiceAreaFreq.main(ServiceAreaFreq.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:896)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
解决
增大driver的内存
--driver-memory 6G
具体看参考
参考
6、spark.driver.maxResultSize
异常
ERROR TaskSetManager: Total size of serialized results of 30 tasks (1108.5 MB) is bigger than spark.driver.maxResultSize (1024.0 MB)
解决
增大spark.driver.maxResultSize
--conf spark.driver.maxResultSize=2G
7、Dropping event from queue eventLog
异常
19/05/20 11:49:54 ERROR AsyncEventQueue: Dropping event from queue eventLog. This likely means one of the listeners is too slow and cannot keep up with the rate at which tasks are being started by the scheduler.
19/05/20 11:49:54 WARN AsyncEventQueue: Dropped 1 events from eventLog since Thu Jan 01 08:00:00 CST 1970.
解决
增大spark.scheduler.listenerbus.eventqueue.capacity(默认为10000)
--conf spark.scheduler.listenerbus.eventqueue.capacity=100000
- 旧版用spark.scheduler.listenerbus.eventqueue.size
19/05/21 14:38:15 WARN SparkConf: The configuration key 'spark.scheduler.listenerbus.eventqueue.size' has been deprecated as of Spark 2.3 and may be removed in the future. Please use the new key 'spark.scheduler.listenerbus.eventqueue.capacity' instead.
具体看参考