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Hi,
I'm trying to use TF with SPARK. I can either run a spark session locally or on a cluster but my problem remains the same. I have Spark version 3.1.1 Scala 2.12.10, OpenJDK 1.8.0_282 and tensor flow version 2.5.0. I compiled both the "spark-tensorflow-connector" and the "tensorflow hadoop" using the commands listed on the readme (mvn clean install). I then added ".config("spark.jars", "C:\spark\spark-3.1.1-bin-hadoop2.7\jars\spark-tfrecord_2.12-0.3.0")" to my spark connection.
I have looked into this repo for similar problems and all provided solutions haven't worked for me. Running either the provided example or custom code results in the same error :
Py4JJavaError: An error occurred while calling o155.save.
: org.apache.spark.SparkException: Job aborted.
at org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:105)
at org.apache.spark.rdd.PairRDDFunctions.$anonfun$saveAsNewAPIHadoopDataset$1(PairRDDFunctions.scala:1077)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1075)
at org.apache.spark.rdd.PairRDDFunctions.$anonfun$saveAsNewAPIHadoopFile$2(PairRDDFunctions.scala:994)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:985)
at org.tensorflow.spark.datasources.tfrecords.DefaultSource.save(DefaultSource.scala:94)
at org.tensorflow.spark.datasources.tfrecords.DefaultSource.saveDistributed(DefaultSource.scala:114)
at org.tensorflow.spark.datasources.tfrecords.DefaultSource.createRelation(DefaultSource.scala:73)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:90)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:132)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:131)
at org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:438)
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)
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:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 7 in stage 6.0 failed 1 times, most recent failure: Lost task 7.0 in stage 6.0 (TID 32) (WORKGROUP executor driver): org.apache.spark.SparkException: Task failed while writing rows
at org.apache.spark.internal.io.SparkHadoopWriter$.executeTask(SparkHadoopWriter.scala:162)
at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$write$1(SparkHadoopWriter.scala:88)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NoClassDefFoundError: com/google/protobuf/GeneratedMessageV3$Builder
at org.tensorflow.spark.datasources.tfrecords.DefaultSource.$anonfun$createRelation$3(DefaultSource.scala:61)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$executeTask$1(SparkHadoopWriter.scala:136)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1473)
at org.apache.spark.internal.io.SparkHadoopWriter$.executeTask(SparkHadoopWriter.scala:134)
... 9 more
Caused by: java.lang.ClassNotFoundException: com.google.protobuf.GeneratedMessageV3$Builder
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 14 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2253)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2202)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2201)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2201)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1078)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1078)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1078)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2440)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2382)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2371)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:868)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2202)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2223)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2255)
at org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:83)
... 47 more
Caused by: org.apache.spark.SparkException: Task failed while writing rows
at org.apache.spark.internal.io.SparkHadoopWriter$.executeTask(SparkHadoopWriter.scala:162)
at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$write$1(SparkHadoopWriter.scala:88)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
Caused by: java.lang.NoClassDefFoundError: com/google/protobuf/GeneratedMessageV3$Builder
at org.tensorflow.spark.datasources.tfrecords.DefaultSource.$anonfun$createRelation$3(DefaultSource.scala:61)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$executeTask$1(SparkHadoopWriter.scala:136)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1473)
at org.apache.spark.internal.io.SparkHadoopWriter$.executeTask(SparkHadoopWriter.scala:134)
... 9 more
Caused by: java.lang.ClassNotFoundException: com.google.protobuf.GeneratedMessageV3$Builder
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
... 14 more
I've also tried to compilefor my specific version (using the examples provided in the readme) which resulted in maven packages not found error.
Any suggestion ? Or should I use any other method to run TF within a Spark env?
The text was updated successfully, but these errors were encountered:
Hi,
I'm trying to use TF with SPARK. I can either run a spark session locally or on a cluster but my problem remains the same. I have Spark version 3.1.1 Scala 2.12.10, OpenJDK 1.8.0_282 and tensor flow version 2.5.0. I compiled both the "spark-tensorflow-connector" and the "tensorflow hadoop" using the commands listed on the readme (
mvn clean install
). I then added".config("spark.jars", "C:\spark\spark-3.1.1-bin-hadoop2.7\jars\spark-tfrecord_2.12-0.3.0")"
to my spark connection.I have looked into this repo for similar problems and all provided solutions haven't worked for me. Running either the provided example or custom code results in the same error :
I've also tried to compilefor my specific version (using the examples provided in the readme) which resulted in maven packages not found error.
Any suggestion ? Or should I use any other method to run TF within a Spark env?
The text was updated successfully, but these errors were encountered: