PySpark python issue：Py4JJavaError：o48.showStringの呼び出し中にエラーが発生しました

Question

こんにちは、PySparkで作業している皆さんPythonと、コードについて言及し、いくつかの問題が発生しました。

windowSpec = Window.partitionBy(df_Broadcast['id']).orderBy(df_Broadcast['id']) windowSpec IdShift = lag(df_Broadcast["id"]).over(windowSpec).alias('IdShift') df_Broadcast = df_Broadcast.withColumn('CheckId', df_Broadcast[idI'] != IdShift) df_Broadcast.show()

これは私のコードです。ブール値true true falseを返します。このコードを初めて実行したときは正常に機能していましたが、カーネルを再起動した後、これがエラーになります。

--------------------------------------------------------------------------- Py4JJavaError Traceback (most recent call last) <ipython-input-11-2d28913c9e2c> in <module>() ----> 1 df_Broadcast.show() ~/anaconda3/lib/python3.6/site-packages/pyspark/sql/dataframe.py in show(self, n, truncate) 334 """ 335 if isinstance(truncate, bool) and truncate: --> 336 print(self._jdf.showString(n, 20)) 337 else: 338 print(self._jdf.showString(n, int(truncate))) ~/anaconda3/lib/python3.6/site-packages/py4j/Java_gateway.py in __call__(self, *args) 1131 answer = self.gateway_client.send_command(command) 1132 return_value = get_return_value( -> 1133 answer, self.gateway_client, self.target_id, self.name) 1134 1135 for temp_arg in temp_args: ~/anaconda3/lib/python3.6/site-packages/pyspark/sql/utils.py in deco(*a, **kw) 61 def deco(*a, **kw): 62 try: ---> 63 return f(*a, **kw) 64 except py4j.protocol.Py4JJavaError as e: 65 s = e.Java_exception.toString() ~/anaconda3/lib/python3.6/site-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name) 317 raise Py4JJavaError( 318 "An error occurred while calling {0}{1}{2}.
". --> 319 format(target_id, ".", name), value) 320 else: 321 raise Py4JError( Py4JJavaError: An error occurred while calling o48.showString. : org.Apache.spark.SparkException: Job aborted due to stage failure: Task 18 in stage 5.0 failed 1 times, most recent failure: Lost task 18.0 in stage 5.0 (TID 116, localhost, executor driver): Java.lang.OutOfMemoryError: Java heap space Driver stacktrace: at org.Apache.spark.scheduler.DAGScheduler.org$Apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499) at org.Apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487) at org.Apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.Apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486) at org.Apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at org.Apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814) at scala.Option.foreach(Option.scala:257) at org.Apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814) at org.Apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714) at org.Apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669) at org.Apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658) at org.Apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.Apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630) at org.Apache.spark.SparkContext.runJob(SparkContext.scala:2022) at org.Apache.spark.SparkContext.runJob(SparkContext.scala:2043) at org.Apache.spark.SparkContext.runJob(SparkContext.scala:2062) at org.Apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:336) at org.Apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38) at org.Apache.spark.sql.Dataset.org$Apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2853) at org.Apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2153) at org.Apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2153) at org.Apache.spark.sql.Dataset$$anonfun$55.apply(Dataset.scala:2837) at org.Apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65) at org.Apache.spark.sql.Dataset.withAction(Dataset.scala:2836) at org.Apache.spark.sql.Dataset.head(Dataset.scala:2153) at org.Apache.spark.sql.Dataset.take(Dataset.scala:2366) at org.Apache.spark.sql.Dataset.showString(Dataset.scala:245) 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 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:748) Caused by: Java.lang.OutOfMemoryError: Java heap space

Luis A.G. · Accepted Answer

エラーは

原因：Java.lang.OutOfMemoryError：Javaヒープスペース

操作を実行してOOMエラーを回避するには、より多くのメモリが必要です。

BigData-Guru · Answer

この問題は、Javaバージョンが原因です。 spark 2.3.3とJava 11がありました。Java 11を削除し、Java8をインストールしました。

問題は解決されました..

*********@*********-VirtualBox:/opt/Java$ Sudo update-alternatives --install "/usr/bin/Java" "Java" "/opt/Java/jdk1.8.0_202/" update-alternatives: --install needs <link> <name> <path> <priority> Use 'update-alternatives --help' for program usage information. *********@*********-VirtualBox:/opt/Java$ Sudo update-alternatives --install "/usr/bin/Java" "Java" "/opt/Java/jdk1.8.0_202/" 1 update-alternatives: using /opt/Java/jdk1.8.0_202/ to provide /usr/bin/Java (Java) in auto mode *********@*********-VirtualBox:/opt/Java$ Sudo update-alternatives --install "/usr/bin/Java" "Java" "/opt/Java/jdk1.8.0_202/bin/Java" 1 *********@*********-VirtualBox:/opt/Java$ Sudo update-alternatives --install "/usr/bin/javac" "javac" "/opt/Java/jdk1.8.0_202/bin/javac" 1 update-alternatives: using /opt/Java/jdk1.8.0_202/bin/javac to provide /usr/bin/javac (javac) in auto mode *********@*********-VirtualBox:/opt/Java$ Java -version Command 'Java' not found, but can be installed with: Sudo apt install default-jre Sudo apt install openjdk-11-jre-headless Sudo apt install openjdk-8-jre-headless *********@*********-VirtualBox:/opt/Java$ Sudo update-alternatives --install "/usr/bin/javaws" "javaws" "/opt/Java/jdk1.8.0_202/bin/javaws" 1 update-alternatives: using /opt/Java/jdk1.8.0_202/bin/javaws to provide /usr/bin/javaws (javaws) in auto mode *********@*********-VirtualBox:/opt/Java$ Sudo update-alternatives --install "/usr/bin/jar" "jar" "/opt/Java/jdk1.8.0_202/bin/jar" 1 update-alternatives: using /opt/Java/jdk1.8.0_202/bin/jar to provide /usr/bin/jar (jar) in auto mode *********@*********-VirtualBox:/opt/Java$ Sudo update-alternatives --set "Java" "/opt/Java/jdk1.8.0_202/bin/Java" update-alternatives: using /opt/Java/jdk1.8.0_202/bin/Java to provide /usr/bin/Java (Java) in manual mode *********@*********-VirtualBox:/opt/Java$ Sudo update-alternatives --set "javac" "/opt/Java/jdk1.8.0_202/bin/javac" *********@*********-VirtualBox:/opt/Java$ Sudo update-alternatives --set "javaws" "/opt/Java/jdk1.8.0_202/bin/javaws" *********@*********-VirtualBox:/opt/Java$ Sudo update-alternatives --set "jar" "/opt/Java/jdk1.8.0_202/bin/jar" *********@*********-VirtualBox:/opt/Java$ cd *********@*********-VirtualBox:~$ Java -version Java version "1.8.0_202" Java(TM) SE Runtime Environment (build 1.8.0_202-b08) Java HotSpot(TM) 64-Bit Server VM (build 25.202-b08, mixed mode)