我有以下代码可以从 pyspark 数据帧创建 2 个文件。第一个执行成功。第二行失败并出现错误。谁能帮我找出根本原因？
df_Test_cases.write.format("csv").mode('overwrite').save("hdfs://hd0/data/sample.db/test_result_tc/result.csv") # no issues
df_summary.write.format("csv").mode('overwrite').save("hdfs://hd0/data/sample.db/test_result_py/result.csv") # fails
这是错误日志
> 18/10/11 09:54:19 WARN TaskMemoryManager: Failed to allocate a page
> (1048576 bytes), try again.
>
> 18/10/11 09:54:19 ERROR Utils: Exception encountered
> java.io.IOException: Could not allocate memory to grow BytesToBytesMap
> at org.apache.spark.sql.execution.joins.UnsafeHashedRelation.org$apache$spark$sql$execution$joins$UnsafeHashedRelation$$read(HashedRelation.scala:267)
> at org.apache.spark.sql.execution.joins.UnsafeHashedRelation$$anonfun$readExternal$1.apply$mcV$sp(HashedRelation.scala:214)
>
>
in module
df_summary.write.format("csv").mode('overwrite').save("hdfs://hd0/data/sample.db/test_result_py/result.csv") # fails
File "/usr/hdp/2.6.4.0-91/spark2/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 595, in save
File "/usr/hdp/2.6.4.0-91/spark2/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
File "/usr/hdp/2.6.4.0-91/spark2/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
File "/usr/hdp/2.6.4.0-91/spark2/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o2153.save.
: org.apache.spark.SparkException: Job aborted.
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:213)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:166)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:166)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:166)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:145)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:138)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:135)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:116)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:92)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:92)
at org.apache.spark.sql.execution.datasources.DataSource.writeInFileFormat(DataSource.scala:437)
at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:473)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:50)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:117)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:138)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:135)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:116)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:92)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:92)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:609)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:233)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:217)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 25.0 failed 1 times, most recent failure: Lost task 0.0 in stage 25.0 (TID 31, localhost, executor driver): java.io.IOException: Could not allocate memory to grow BytesToBytesMap
at org.apache.spark.sql.execution.joins.UnsafeHashedRelation.org$apache$spark$sql$execution$joins$UnsafeHashedRelation$$read(HashedRelation.scala:267)
at org.apache.spark.sql.execution.joins.UnsafeHashedRelation$$anonfun$readExternal$1.apply$mcV$sp(HashedRelation.scala:214)
at org.apache.spark.sql.execution.joins.UnsafeHashedRelation$$anonfun$readExternal$1.apply(HashedRelation.scala:214)
at org.apache.spark.sql.execution.joins.UnsafeHashedRelation$$anonfun$readExternal$1.apply(HashedRelation.scala:214)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1303)
at org.apache.spark.sql.execution.joins.UnsafeHashedRelation.readExternal(HashedRelation.scala:213)
at java.io.ObjectInputStream.readExternalData(ObjectInputStream.java:1840)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1799)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:168)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:215)
at org.apache.spark.storage.BlockManager.maybeCacheDiskValuesInMemory(BlockManager.scala:1185)
at org.apache.spark.storage.BlockManager.getLocalValues(BlockManager.scala:526)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:210)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1303)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:206)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:66)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:66)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:96)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.wholestagecodegen_init_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.init(Unknown Source)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8.apply(WholeStageCodegenExec.scala:392)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8.apply(WholeStageCodegenExec.scala:389)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$26.apply(RDD.scala:844)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$26.apply(RDD.scala:844)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1517)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1505)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1504)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1504)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1732)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1687)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1676)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormatWriter.scala:186)
... 44 more
Caused by: java.io.IOException: Could not allocate memory to grow BytesToBytesMap
at org.apache.spark.sql.execution.joins.UnsafeHashedRelation.org$apache$spark$sql$execution$joins$UnsafeHashedRelation$$read(HashedRelation.scala:267)
at org.apache.spark.sql.execution.joins.UnsafeHashedRelation$$anonfun$readExternal$1.apply$mcV$sp(HashedRelation.scala:214)
at org.apache.spark.sql.execution.joins.UnsafeHashedRelation$$anonfun$readExternal$1.apply(HashedRelation.scala:214)
at org.apache.spark.sql.execution.joins.UnsafeHashedRelation$$anonfun$readExternal$1.apply(HashedRelation.scala:214)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1303)
at org.apache.spark.sql.execution.joins.UnsafeHashedRelation.readExternal(HashedRelation.scala:213)
at java.io.ObjectInputStream.readExternalData(ObjectInputStream.java:1840)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1799)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:168)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:215)
at org.apache.spark.storage.BlockManager.maybeCacheDiskValuesInMemory(BlockManager.scala:1185)
at org.apache.spark.storage.BlockManager.getLocalValues(BlockManager.scala:526)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:210)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1303)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:206)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:66)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:66)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:96)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.wholestagecodegen_init_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.init(Unknown Source)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8.apply(WholeStageCodegenExec.scala:392)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8.apply(WholeStageCodegenExec.scala:389)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$26.apply(RDD.scala:844)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$26.apply(RDD.scala:844)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 more
18/10/11 09:54:19 INFO SparkContext: Invoking stop() from shutdown hook
请您参考如下方法:
正如@Andrea 所说，这是一个内存问题。首先，我必须警告您，CSV 不是编写“大数据”的最佳格式，我建议您尝试其他更适合 Spark 的格式，例如 Parquet。
但是，如果您真的想将数据导出到 CSV 文件，那么您可以尝试两种不同的方法:
- 增加执行器和驱动程序内存:您可以修改 spark-defaults.conf 文件中的默认 Spark 配置:
spark.executor.memory: '2G'
spark.driver.memory: '4G'
- 在使用提交运行 Spark 作业之前，您可以传递修改先前选项的参数 Spark Documentation :
./bin/spark-submit --driver-memory 4g –num-executors 2 --executor-memory 2g --executor-cores 2
另一种方法是将输出文件拆分为多个较小的选择数据子集，然后如果需要在本地合并它。我不会这样做，但你可以尝试排除内存不足之外的其他问题。
编辑:添加一些链接和一些有趣的选项来调整 Spark 作业
