无法使用pyspark将Dataframe保存到parquet

sauutmhj  于 2021-05-27  发布在  Spark
关注(0)|答案(2)|浏览(714)

我有一个由pysparksql查询生成的Dataframe，当我试图使用以下代码保存它时

  1. mydata.write.mode('overwrite').parquet("file:///mypath/master")

我发现错误附在最后。
由于Dataframe包含结构类型（使用mydata.printschema）：

  1. result: struct (nullable = true)
  2.  |    |-- mycol1: array (nullable = true)
  3.  |    |    |-- element: string (containsNull = true)
  4.  |    |-- mycol2: array (nullable = true)
  5.  |    |    |-- element: array (containsNull = true)
  6.  |    |    |    |-- element: string (containsNull = true)

不确定这是否与数据类型、连接或其他内容有关，是否有任何方法可以帮助解决此问题？谢谢您！

  1. Py4JJavaError: An error occurred while calling o658.parquet.
  2. : org.apache.spark.SparkException: Job aborted.
  3.     at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:198)
  4.     at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
  5.     at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
  6.     at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
  7.     at org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
  8.     at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
  9.     at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
  10.     at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
  11.     at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  12.     at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
  13.     at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
  14.     at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:83)
  15.     at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:81)
  16.     at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:677)
  17.     at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:677)
  18.     at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
  19.     at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
  20.     at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
  21.     at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:677)
  22.     at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:286)
  23.     at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:272)
  24.     at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:230)
  25.     at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:567)
  26.     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
  27.     at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
  28.     at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
  29.     at java.lang.reflect.Method.invoke(Unknown Source)
  30.     at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
  31.     at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
  32.     at py4j.Gateway.invoke(Gateway.java:282)
  33.     at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
  34.     at py4j.commands.CallCommand.execute(CallCommand.java:79)
  35.     at py4j.GatewayConnection.run(GatewayConnection.java:238)
  36.     at java.lang.Thread.run(Unknown Source)
  37. Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 52.0 failed 1 times, most recent failure: Lost task 0.0 in stage 52.0 (TID 1514, localhost, executor driver): org.apache.spark.SparkException: Python worker failed to connect back.
  38.     at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:170)
  39.     at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:97)
  40.     at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
  41.     at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:109)
  42.     at org.apache.spark.sql.execution.python.BatchEvalPythonExec.evaluate(BatchEvalPythonExec.scala:81)
  43.     at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:127)
  44.     at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:89)
  45.     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823)
  46.     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823)
  47.     at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
  48.     at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
  49.     at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
  50.     at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
  51.     at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
  52.     at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
  53.     at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
  54.     at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
  55.     at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
  56.     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
  57.     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
  58.     at org.apache.spark.scheduler.Task.run(Task.scala:123)
  59.     at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
  60.     at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
  61.     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
  62.     at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
  63.     at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
  64.     at java.lang.Thread.run(Unknown Source)
  65. Caused by: java.net.SocketTimeoutException: Accept timed out
  66.     at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
  67.     at java.net.DualStackPlainSocketImpl.socketAccept(Unknown Source)
  68.     at java.net.AbstractPlainSocketImpl.accept(Unknown Source)
  69.     at java.net.PlainSocketImpl.accept(Unknown Source)
  70.     at java.net.ServerSocket.implAccept(Unknown Source)
  71.     at java.net.ServerSocket.accept(Unknown Source)
  72.     at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:164)
  73. 26 more
  75. Driver stacktrace:
  76.     at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1891)
  77.     at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1879)
  78.     at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1878)
  79.     at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
  80.     at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
  81.     at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1878)
  82.     at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:927)
  83.     at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:927)
  84.     at scala.Option.foreach(Option.scala:257)
  85.     at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:927)
  86.     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2112)
  87.     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2061)
  88.     at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2050)
  89.     at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
  90.     at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:738)
  91.     at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
  92.     at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:167)
  93. 33 more
  94. Caused by: org.apache.spark.SparkException: Python worker failed to connect back.
  95.     at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:170)
  96.     at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:97)
  97.     at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
  98.     at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:109)
  99.     at org.apache.spark.sql.execution.python.BatchEvalPythonExec.evaluate(BatchEvalPythonExec.scala:81)
  100.     at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:127)
  101.     at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:89)
  102.     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823)
  103.     at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:823)
  104.     at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
  105.     at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
  106.     at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
  107.     at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
  108.     at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
  109.     at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
  110.     at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
  111.     at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346)
  112.     at org.apache.spark.rdd.RDD.iterator(RDD.scala:310)
  113.     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
  114.     at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
  115.     at org.apache.spark.scheduler.Task.run(Task.scala:123)
  116.     at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
  117.     at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
  118.     at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
  119.     at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
  120.     at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
  121. 1 more
  122. Caused by: java.net.SocketTimeoutException: Accept timed out
  123.     at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
  124.     at java.net.DualStackPlainSocketImpl.socketAccept(Unknown Source)
  125.     at java.net.AbstractPlainSocketImpl.accept(Unknown Source)
  126.     at java.net.PlainSocketImpl.accept(Unknown Source)
  127.     at java.net.ServerSocket.implAccept(Unknown Source)
  128.     at java.net.ServerSocket.accept(Unknown Source)
  129.     at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:164)
  130. 26 more
JavapythonDataFrameapache-sparkpyspark

2条答案

按热度按时间
inb24sb2

inb24sb21#

希望这有帮助

  1. df.write.option("schema",write_schema).parquet(savepath)
赞(0）分享  回复(0）举报  2021-05-27
0x6upsns

0x6upsns2#

我已经找出了这个问题的原因，它源于jvm内存设置。遵循本文的过程可以帮助配置jvm的设置和所有工作
64位java不会分配超过2gb的堆内存

赞(0）分享  回复(0）举报  2021-05-27
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