I am using minio as storage for my spark driver as well as executor pod. I'm downloading some data and then uploading it to minio. Later I'm reading the data and saving it in delta-lake entries. I'm able to read data from minio with delta-spark. However, I'm receiving the below error while trying save the delta-lake data.
java.util.concurrent.ExecutionException: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 7) (10.14.109.236 executor 1): java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.sql.catalyst.expressions.ScalaUDF.f of type scala.Function1 in instance of org.apache.spark.sql.catalyst.expressions.ScalaUDF
Here's the detailed error
Driver stacktrace:
Traceback (most recent call last):
File "/app/main.py", line 128, in <module>
main()
File "/app/main.py", line 122, in main
DeltaSpark.load(spark, filepath, destination_path)
File "/app/delta_spark.py", line 14, in load
df.write.format("delta").mode("append").save(f"s3a://{destination_path}")
File "/opt/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 968, in save
File "/opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/java_gateway.py", line 1321, in __call__
File "/opt/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 190, in deco
File "/opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/protocol.py", line 326, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o76.save.
: java.util.concurrent.ExecutionException: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 7) (10.14.109.236 executor 1): java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.sql.catalyst.expressions.ScalaUDF.f of type scala.Function1 in instance of org.apache.spark.sql.catalyst.expressions.ScalaUDF
at java.base/java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(Unknown Source)
at java.base/java.io.ObjectStreamClass$FieldReflector.checkObjectFieldValueTypes(Unknown Source)
at java.base/java.io.ObjectStreamClass.checkObjFieldValueTypes(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultCheckFieldValues(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at scala.collection.immutable.List$SerializationProxy.readObject(List.scala:527)
at jdk.internal.reflect.GeneratedMethodAccessor3.invoke(Unknown Source)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.base/java.lang.reflect.Method.invoke(Unknown Source)
at java.base/java.io.ObjectStreamClass.invokeReadObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:87)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:129)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:85)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.base/java.lang.Thread.run(Unknown Source)
Driver stacktrace:
at com.google.common.util.concurrent.AbstractFuture$Sync.getValue(AbstractFuture.java:306)
at com.google.common.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:293)
at com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:116)
at com.google.common.util.concurrent.Uninterruptibles.getUninterruptibly(Uninterruptibles.java:135)
at com.google.common.cache.LocalCache$Segment.getAndRecordStats(LocalCache.java:2410)
at com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2380)
at com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342)
at com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2257)
at com.google.common.cache.LocalCache.get(LocalCache.java:4000)
at com.google.common.cache.LocalCache$LocalManualCache.get(LocalCache.java:4789)
at org.apache.spark.sql.delta.DeltaLog$.getDeltaLogFromCache$1(DeltaLog.scala:748)
at org.apache.spark.sql.delta.DeltaLog$.apply(DeltaLog.scala:755)
at org.apache.spark.sql.delta.DeltaLog$.forTable(DeltaLog.scala:598)
at org.apache.spark.sql.delta.sources.DeltaDataSource.createRelation(DeltaDataSource.scala:151)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:47)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:109)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:169)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:94)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:584)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:560)
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:94)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:81)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:79)
at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:116)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:860)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:390)
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:303)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.base/java.lang.reflect.Method.invoke(Unknown Source)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Unknown Source)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 7) (10.14.109.236 executor 1): java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.sql.catalyst.expressions.ScalaUDF.f of type scala.Function1 in instance of org.apache.spark.sql.catalyst.expressions.ScalaUDF
at java.base/java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(Unknown Source)
at java.base/java.io.ObjectStreamClass$FieldReflector.checkObjectFieldValueTypes(Unknown Source)
at java.base/java.io.ObjectStreamClass.checkObjFieldValueTypes(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultCheckFieldValues(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at scala.collection.immutable.List$SerializationProxy.readObject(List.scala:527)
at jdk.internal.reflect.GeneratedMethodAccessor3.invoke(Unknown Source)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.base/java.lang.reflect.Method.invoke(Unknown Source)
at java.base/java.io.ObjectStreamClass.invokeReadObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:87)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:129)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:85)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.base/java.lang.Thread.run(Unknown Source)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2672)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2608)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2607)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2607)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1182)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1182)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1182)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2860)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2802)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2791)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
Caused by: java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.sql.catalyst.expressions.ScalaUDF.f of type scala.Function1 in instance of org.apache.spark.sql.catalyst.expressions.ScalaUDF
at java.base/java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(Unknown Source)
at java.base/java.io.ObjectStreamClass$FieldReflector.checkObjectFieldValueTypes(Unknown Source)
at java.base/java.io.ObjectStreamClass.checkObjFieldValueTypes(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultCheckFieldValues(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readArray(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at scala.collection.immutable.List$SerializationProxy.readObject(List.scala:527)
at jdk.internal.reflect.GeneratedMethodAccessor3.invoke(Unknown Source)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.base/java.lang.reflect.Method.invoke(Unknown Source)
at java.base/java.io.ObjectStreamClass.invokeReadObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.base/java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.base/java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject0(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at java.base/java.io.ObjectInputStream.readObject(Unknown Source)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:87)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:129)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:85)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.base/java.lang.Thread.run(Unknown Source)
here's my code snippet
def load(spark: SparkSession, file_path: str, destination_path: str) -> None:
df = spark.read.option("multiline", "true").json(f"s3a://{file_path}")
df.write.format("delta").mode("append").save(f"s3a://{destination_path}")
Kubernetes Version: v1.24.3
Spark: Apache Spark 3.3.1
Java Version: openjdk version "11.0.13" 2021-10-19
Python Version: 3.9.13
Python packages: pyspark 3.2.3, delta-spark 2.0.2
Can someone please help me out to understand what I am doing wrong ?
Thank you. Much appreciated.
if you use Spark 3.3.x, then you also need to use PySpark of corresponding version and also use another version of Delta Lake - for Spark 3.3 it's 2.2.x, 2.0.x will work only with Spark 3.2.x. See compatibility matrix in the Delta documentation.
Related
I'm trying to run a Spark job with PySpark on Mac, and my Spark instance is in cluster mode. It's working well with simple spark.sql() tests. However, when I executed some action functions with big transformations, the job failed. It's strange that I always get an error: java.nio.charset.MalformedInputException: Input length = 1 but there is no code reading files here.
I also tried to add spark.driver.extraJavaOptions=-Dfile.encoding=utf-8 into the configuration, but still no success.
Code Example:
from pyspark.sql.window import Window
import pyspark.sql.functions as sf
import pyspark.sql.types as st
conf = SparkConf()
...
conf.set("spark.archives", "hdfs://.../pyspark_conda_env_0.1.tar.gz#environment")
conf.set("spark.yarn.dist.archives", "hdfs://.../pyspark_conda_env_0.1.tar.gz#environment")
conf.set("spark.yarn.appMasterEnv.PYSPARK_PYTHON", "./environment/bin/python")
conf.set("spark.driver.extraJavaOptions", "-Dfile.encoding=utf-8")
sc = SparkContext(conf=conf)
spark = SparkSession.builder.enableHiveSupport().getOrCreate()
df = spark.sql("...")
df.cache()
df.take(1) # passed
df = df.withColumn(...)
df = df.groupBy("uid", sf.window(sf.col("ts"), "14 days", startTime="11 days")).agg(...)
df = df.withColumn(...)
df.count() # failed
df.take(1) # failed
Error:
Py4JJavaError: An error occurred while calling o790.collectToPython.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 57.0 failed 4 times, most recent failure: Lost task 2.3 in stage 57.0 (TID 2910) (xx.xx.x.xxx executor 2): java.nio.charset.MalformedInputException: Input length = 1
at java.base/java.nio.charset.CoderResult.throwException(Unknown Source)
at java.base/sun.nio.cs.StreamDecoder.implRead(Unknown Source)
at java.base/sun.nio.cs.StreamDecoder.read(Unknown Source)
at java.base/java.io.InputStreamReader.read(Unknown Source)
at java.base/java.io.BufferedReader.fill(Unknown Source)
at java.base/java.io.BufferedReader.readLine(Unknown Source)
at java.base/java.io.BufferedReader.readLine(Unknown Source)
at scala.io.BufferedSource$BufferedLineIterator.hasNext(BufferedSource.scala:74)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.TraversableOnce.addString(TraversableOnce.scala:424)
at scala.collection.TraversableOnce.addString$(TraversableOnce.scala:407)
at scala.collection.AbstractIterator.addString(Iterator.scala:1431)
at scala.collection.TraversableOnce.mkString(TraversableOnce.scala:377)
at scala.collection.TraversableOnce.mkString$(TraversableOnce.scala:376)
at scala.collection.AbstractIterator.mkString(Iterator.scala:1431)
at scala.collection.TraversableOnce.mkString(TraversableOnce.scala:379)
at scala.collection.TraversableOnce.mkString$(TraversableOnce.scala:379)
at scala.collection.AbstractIterator.mkString(Iterator.scala:1431)
at org.apache.spark.util.Utils$.getStderr(Utils.scala:2006)
at org.apache.spark.api.python.PythonWorkerFactory.$anonfun$startDaemon$1(PythonWorkerFactory.scala:254)
at scala.Option.flatMap(Option.scala:271)
at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:254)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:143)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:136)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:106)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:121)
at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:162)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec.evaluate(BatchEvalPythonExec.scala:81)
at org.apache.spark.sql.execution.python.EvalPythonExec.$anonfun$doExecute$2(EvalPythonExec.scala:130)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:863)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:863)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.base/java.lang.Thread.run(Unknown Source)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2454)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2403)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2402)
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:2402)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1160)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1160)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1160)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2642)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2584)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2573)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:938)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2214)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2235)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2254)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:476)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:429)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:48)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$executeCollect$1(AdaptiveSparkPlanExec.scala:338)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.withFinalPlanUpdate(AdaptiveSparkPlanExec.scala:366)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.executeCollect(AdaptiveSparkPlanExec.scala:338)
at org.apache.spark.sql.Dataset.$anonfun$collectToPython$1(Dataset.scala:3538)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3706)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$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$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3704)
at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:3535)
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.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.lang.Thread.run(Thread.java:750)
Caused by: java.nio.charset.MalformedInputException: Input length = 1
at java.nio.charset.CoderResult.throwException(Unknown Source)
at sun.nio.cs.StreamDecoder.implRead(Unknown Source)
at sun.nio.cs.StreamDecoder.read(Unknown Source)
at java.io.InputStreamReader.read(Unknown Source)
at java.io.BufferedReader.fill(Unknown Source)
at java.io.BufferedReader.readLine(Unknown Source)
at java.io.BufferedReader.readLine(Unknown Source)
at scala.io.BufferedSource$BufferedLineIterator.hasNext(BufferedSource.scala:74)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.TraversableOnce.addString(TraversableOnce.scala:424)
at scala.collection.TraversableOnce.addString$(TraversableOnce.scala:407)
at scala.collection.AbstractIterator.addString(Iterator.scala:1431)
at scala.collection.TraversableOnce.mkString(TraversableOnce.scala:377)
at scala.collection.TraversableOnce.mkString$(TraversableOnce.scala:376)
at scala.collection.AbstractIterator.mkString(Iterator.scala:1431)
at scala.collection.TraversableOnce.mkString(TraversableOnce.scala:379)
at scala.collection.TraversableOnce.mkString$(TraversableOnce.scala:379)
at scala.collection.AbstractIterator.mkString(Iterator.scala:1431)
at org.apache.spark.util.Utils$.getStderr(Utils.scala:2006)
at org.apache.spark.api.python.PythonWorkerFactory.$anonfun$startDaemon$1(PythonWorkerFactory.scala:254)
at scala.Option.flatMap(Option.scala:271)
at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:254)
at org.apache.spark.api.python.PythonWorkerFactory.liftedTree1$1(PythonWorkerFactory.scala:143)
at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:136)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:106)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:121)
at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:162)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec.evaluate(BatchEvalPythonExec.scala:81)
at org.apache.spark.sql.execution.python.EvalPythonExec.$anonfun$doExecute$2(EvalPythonExec.scala:130)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:863)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:863)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.lang.Thread.run(Unknown Source)
Any ideas? Thanks!
I am trying to build a pyspark pipeline where I perform a sequence of steps such as missing value treatment, scaling, discretisation. I need a proper dataframe at the end.
I am currently stuck at this step.
num_imputer = Imputer(inputCols = df.columns, outputCols = df.columns, strategy = impute_type)
num_scaling = StandardScaler(inputCol = 'features' , outputCol = 'scaledFeatures')
pipeline = Pipeline(stages = [num_imputer, vector_assembler,num_scaling])
df = pipeline.fit(df).transform(df)
This line fails
df = df.select('scaledFeatures').rdd.map(lambda x:[float(y) for y in x['scaledFeatures']]).toDF([val+'scale' for val in df.columns])
The error:
Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 617.0 failed 1 times, most recent failure: Lost task 0.0 in stage 617.0 (TID 538) (LAPTOP-8PIAMAL6 executor driver): org.apache.spark.SparkException: Python worker failed to connect back. at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:188) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:108) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:121) at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:162) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373) at org.apache.spark.rdd.RDD.iterator(RDD.scala:337) 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$3(Executor.scala:506) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) at java.lang.Thread.run(Unknown Source) Caused by: java.net.SocketTimeoutException: Accept timed out at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method) at java.net.DualStackPlainSocketImpl.socketAccept(Unknown Source) at java.net.AbstractPlainSocketImpl.accept(Unknown Source) at java.net.PlainSocketImpl.accept(Unknown Source) at java.net.ServerSocket.implAccept(Unknown Source) at java.net.ServerSocket.accept(Unknown Source) at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:175) ... 14 more Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2403) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2352) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2351) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2351) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1109) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1109) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1109) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2591) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2533) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2522) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:898) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2214) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2235) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2254) at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:166) at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.lang.reflect.Method.invoke(Unknown Source) 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.ClientServerConnection.waitForCommands(ClientServerConnection.java:182) at py4j.ClientServerConnection.run(ClientServerConnection.java:106) at java.lang.Thread.run(Unknown Source) Caused by: org.apache.spark.SparkException: Python worker failed to connect back. at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:188) at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:108) at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:121) at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:162) at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373) at org.apache.spark.rdd.RDD.iterator(RDD.scala:337) 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:506) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509) at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source) at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source) ... 1 more Caused by: java.net.SocketTimeoutException: Accept timed out at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method) at java.net.DualStackPlainSocketImpl.socketAccept(Unknown Source) at java.net.AbstractPlainSocketImpl.accept(Unknown Source) at java.net.PlainSocketImpl.accept(Unknown Source) at java.net.ServerSocket.implAccept(Unknown Source) at java.net.ServerSocket.accept(Unknown Source) at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:175) ... 14 more
Traceback:
File "c:\programdata\anaconda3\lib\site-packages\streamlit\script_runner.py", line 354, in _run_script
exec(code, module.__dict__)
File "C:\Users\hp\Documents\BITS\4 sem\Project\python_no_code_spark.py", line 187, in <module>
main()
File "C:\Users\hp\Documents\BITS\4 sem\Project\python_no_code_spark.py", line 171, in main
df = df.select('scaledFeatures').rdd.map(lambda x:[float(y) for y in x['scaledFeatures']]).toDF(['a','b','c','d','e','f','g','h','i'])
File "c:\programdata\anaconda3\lib\site-packages\pyspark\sql\session.py", line 66, in toDF
return sparkSession.createDataFrame(self, schema, sampleRatio)
File "c:\programdata\anaconda3\lib\site-packages\pyspark\sql\session.py", line 675, in createDataFrame
return self._create_dataframe(data, schema, samplingRatio, verifySchema)
File "c:\programdata\anaconda3\lib\site-packages\pyspark\sql\session.py", line 698, in _create_dataframe
rdd, schema = self._createFromRDD(data.map(prepare), schema, samplingRatio)
File "c:\programdata\anaconda3\lib\site-packages\pyspark\sql\session.py", line 486, in _createFromRDD
struct = self._inferSchema(rdd, samplingRatio, names=schema)
File "c:\programdata\anaconda3\lib\site-packages\pyspark\sql\session.py", line 460, in _inferSchema
first = rdd.first()
File "c:\programdata\anaconda3\lib\site-packages\pyspark\rdd.py", line 1588, in first
rs = self.take(1)
File "c:\programdata\anaconda3\lib\site-packages\pyspark\rdd.py", line 1568, in take
res = self.context.runJob(self, takeUpToNumLeft, p)
File "c:\programdata\anaconda3\lib\site-packages\pyspark\context.py", line 1227, in runJob
sock_info = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd, partitions)
File "c:\programdata\anaconda3\lib\site-packages\py4j\java_gateway.py", line 1309, in __call__
return_value = get_return_value(
File "c:\programdata\anaconda3\lib\site-packages\pyspark\sql\utils.py", line 111, in deco
return f(*a, **kw)
File "c:\programdata\anaconda3\lib\site-packages\py4j\protocol.py", line 326, in get_return_value
raise Py4JJavaError(
Kindly provide inputs
Try to install Py4J Correctly and look into the below thread for more info.
Thread: https://stackoverflow.com/a/50098044/12698360
Spark version: 3.2.0
Java Version: 8
Python version: 3.7.3
Scala: sbt-1.5.5.msi
And I followed all the steps as per this link: https://phoenixnap.com/kb/install-spark-on-windows-10
When I run spark-shell command through cmd, it's throwing following error:
C:\spark-3.2.0-bin-hadoop3.2\bin>spark-shell
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
21/11/11 00:14:24 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
21/11/11 00:14:26 ERROR SparkContext: Error initializing SparkContext.
java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)
at java.lang.reflect.Constructor.newInstance(Unknown Source)
at org.apache.spark.executor.Executor.addReplClassLoaderIfNeeded(Executor.scala:909)
at org.apache.spark.executor.Executor.<init>(Executor.scala:160)
at org.apache.spark.scheduler.local.LocalEndpoint.<init>(LocalSchedulerBackend.scala:64)
at org.apache.spark.scheduler.local.LocalSchedulerBackend.start(LocalSchedulerBackend.scala:132)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:220)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:581)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2690)
at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$2(SparkSession.scala:949)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:943)
at org.apache.spark.repl.Main$.createSparkSession(Main.scala:106)
at $line3.$read$$iw$$iw.<init>(<console>:15)
at $line3.$read$$iw.<init>(<console>:42)
at $line3.$read.<init>(<console>:44)
at $line3.$read$.<init>(<console>:48)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.$print$lzycompute(<console>:7)
at $line3.$eval$.$print(<console>:6)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:747)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1020)
at scala.tools.nsc.interpreter.IMain.$anonfun$interpret$1(IMain.scala:568)
at scala.reflect.internal.util.ScalaClassLoader.asContext(ScalaClassLoader.scala:36)
at scala.reflect.internal.util.ScalaClassLoader.asContext$(ScalaClassLoader.scala:116)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:41)
at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:567)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:594)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:564)
at scala.tools.nsc.interpreter.IMain.$anonfun$quietRun$1(IMain.scala:216)
at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:206)
at scala.tools.nsc.interpreter.IMain.quietRun(IMain.scala:216)
at org.apache.spark.repl.SparkILoop.$anonfun$initializeSpark$2(SparkILoop.scala:83)
at scala.collection.immutable.List.foreach(List.scala:431)
at org.apache.spark.repl.SparkILoop.$anonfun$initializeSpark$1(SparkILoop.scala:83)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:97)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:83)
at org.apache.spark.repl.SparkILoop.$anonfun$process$4(SparkILoop.scala:165)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.tools.nsc.interpreter.ILoop.$anonfun$mumly$1(ILoop.scala:166)
at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:206)
at scala.tools.nsc.interpreter.ILoop.mumly(ILoop.scala:163)
at org.apache.spark.repl.SparkILoop.loopPostInit$1(SparkILoop.scala:153)
at org.apache.spark.repl.SparkILoop.$anonfun$process$10(SparkILoop.scala:221)
at org.apache.spark.repl.SparkILoop.withSuppressedSettings$1(SparkILoop.scala:189)
at org.apache.spark.repl.SparkILoop.startup$1(SparkILoop.scala:201)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:236)
at org.apache.spark.repl.Main$.doMain(Main.scala:78)
at org.apache.spark.repl.Main$.main(Main.scala:58)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:955)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1043)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1052)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.net.URISyntaxException: Illegal character in path at index 27: spark://10.0.0.143:49863/C:\classes
at java.net.URI$Parser.fail(Unknown Source)
at java.net.URI$Parser.checkChars(Unknown Source)
at java.net.URI$Parser.parseHierarchical(Unknown Source)
at java.net.URI$Parser.parse(Unknown Source)
at java.net.URI.<init>(Unknown Source)
at org.apache.spark.repl.ExecutorClassLoader.<init>(ExecutorClassLoader.scala:57)
... 70 more
21/11/11 00:14:26 ERROR Utils: Uncaught exception in thread main
java.lang.NullPointerException
at org.apache.spark.scheduler.local.LocalSchedulerBackend.org$apache$spark$scheduler$local$LocalSchedulerBackend$$stop(LocalSchedulerBackend.scala:173)
at org.apache.spark.scheduler.local.LocalSchedulerBackend.stop(LocalSchedulerBackend.scala:144)
at org.apache.spark.scheduler.TaskSchedulerImpl.stop(TaskSchedulerImpl.scala:927)
at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:2516)
at org.apache.spark.SparkContext.$anonfun$stop$12(SparkContext.scala:2086)
at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1442)
at org.apache.spark.SparkContext.stop(SparkContext.scala:2086)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:677)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2690)
at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$2(SparkSession.scala:949)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:943)
at org.apache.spark.repl.Main$.createSparkSession(Main.scala:106)
at $line3.$read$$iw$$iw.<init>(<console>:15)
at $line3.$read$$iw.<init>(<console>:42)
at $line3.$read.<init>(<console>:44)
at $line3.$read$.<init>(<console>:48)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.$print$lzycompute(<console>:7)
at $line3.$eval$.$print(<console>:6)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:747)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1020)
at scala.tools.nsc.interpreter.IMain.$anonfun$interpret$1(IMain.scala:568)
at scala.reflect.internal.util.ScalaClassLoader.asContext(ScalaClassLoader.scala:36)
at scala.reflect.internal.util.ScalaClassLoader.asContext$(ScalaClassLoader.scala:116)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:41)
at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:567)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:594)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:564)
at scala.tools.nsc.interpreter.IMain.$anonfun$quietRun$1(IMain.scala:216)
at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:206)
at scala.tools.nsc.interpreter.IMain.quietRun(IMain.scala:216)
at org.apache.spark.repl.SparkILoop.$anonfun$initializeSpark$2(SparkILoop.scala:83)
at scala.collection.immutable.List.foreach(List.scala:431)
at org.apache.spark.repl.SparkILoop.$anonfun$initializeSpark$1(SparkILoop.scala:83)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:97)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:83)
at org.apache.spark.repl.SparkILoop.$anonfun$process$4(SparkILoop.scala:165)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.tools.nsc.interpreter.ILoop.$anonfun$mumly$1(ILoop.scala:166)
at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:206)
at scala.tools.nsc.interpreter.ILoop.mumly(ILoop.scala:163)
at org.apache.spark.repl.SparkILoop.loopPostInit$1(SparkILoop.scala:153)
at org.apache.spark.repl.SparkILoop.$anonfun$process$10(SparkILoop.scala:221)
at org.apache.spark.repl.SparkILoop.withSuppressedSettings$1(SparkILoop.scala:189)
at org.apache.spark.repl.SparkILoop.startup$1(SparkILoop.scala:201)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:236)
at org.apache.spark.repl.Main$.doMain(Main.scala:78)
at org.apache.spark.repl.Main$.main(Main.scala:58)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:955)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1043)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1052)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
21/11/11 00:14:26 WARN MetricsSystem: Stopping a MetricsSystem that is not running
21/11/11 00:14:26 ERROR Main: Failed to initialize Spark session.
java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)
at java.lang.reflect.Constructor.newInstance(Unknown Source)
at org.apache.spark.executor.Executor.addReplClassLoaderIfNeeded(Executor.scala:909)
at org.apache.spark.executor.Executor.<init>(Executor.scala:160)
at org.apache.spark.scheduler.local.LocalEndpoint.<init>(LocalSchedulerBackend.scala:64)
at org.apache.spark.scheduler.local.LocalSchedulerBackend.start(LocalSchedulerBackend.scala:132)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:220)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:581)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2690)
at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$2(SparkSession.scala:949)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:943)
at org.apache.spark.repl.Main$.createSparkSession(Main.scala:106)
at $line3.$read$$iw$$iw.<init>(<console>:15)
at $line3.$read$$iw.<init>(<console>:42)
at $line3.$read.<init>(<console>:44)
at $line3.$read$.<init>(<console>:48)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.$print$lzycompute(<console>:7)
at $line3.$eval$.$print(<console>:6)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:747)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1020)
at scala.tools.nsc.interpreter.IMain.$anonfun$interpret$1(IMain.scala:568)
at scala.reflect.internal.util.ScalaClassLoader.asContext(ScalaClassLoader.scala:36)
at scala.reflect.internal.util.ScalaClassLoader.asContext$(ScalaClassLoader.scala:116)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:41)
at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:567)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:594)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:564)
at scala.tools.nsc.interpreter.IMain.$anonfun$quietRun$1(IMain.scala:216)
at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:206)
at scala.tools.nsc.interpreter.IMain.quietRun(IMain.scala:216)
at org.apache.spark.repl.SparkILoop.$anonfun$initializeSpark$2(SparkILoop.scala:83)
at scala.collection.immutable.List.foreach(List.scala:431)
at org.apache.spark.repl.SparkILoop.$anonfun$initializeSpark$1(SparkILoop.scala:83)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:97)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:83)
at org.apache.spark.repl.SparkILoop.$anonfun$process$4(SparkILoop.scala:165)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.tools.nsc.interpreter.ILoop.$anonfun$mumly$1(ILoop.scala:166)
at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:206)
at scala.tools.nsc.interpreter.ILoop.mumly(ILoop.scala:163)
at org.apache.spark.repl.SparkILoop.loopPostInit$1(SparkILoop.scala:153)
at org.apache.spark.repl.SparkILoop.$anonfun$process$10(SparkILoop.scala:221)
at org.apache.spark.repl.SparkILoop.withSuppressedSettings$1(SparkILoop.scala:189)
at org.apache.spark.repl.SparkILoop.startup$1(SparkILoop.scala:201)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:236)
at org.apache.spark.repl.Main$.doMain(Main.scala:78)
at org.apache.spark.repl.Main$.main(Main.scala:58)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:955)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1043)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1052)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.net.URISyntaxException: Illegal character in path at index 27: spark://10.0.0.143:49863/C:\classes
at java.net.URI$Parser.fail(Unknown Source)
at java.net.URI$Parser.checkChars(Unknown Source)
at java.net.URI$Parser.parseHierarchical(Unknown Source)
at java.net.URI$Parser.parse(Unknown Source)
at java.net.URI.<init>(Unknown Source)
at org.apache.spark.repl.ExecutorClassLoader.<init>(ExecutorClassLoader.scala:57)
... 70 more
21/11/11 00:14:26 ERROR Utils: Uncaught exception in thread shutdown-hook-0
java.lang.ExceptionInInitializerError
at org.apache.spark.executor.Executor.stop(Executor.scala:333)
at org.apache.spark.executor.Executor.$anonfun$stopHookReference$1(Executor.scala:76)
at org.apache.spark.util.SparkShutdownHook.run(ShutdownHookManager.scala:214)
at org.apache.spark.util.SparkShutdownHookManager.$anonfun$runAll$2(ShutdownHookManager.scala:188)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:2019)
at org.apache.spark.util.SparkShutdownHookManager.$anonfun$runAll$1(ShutdownHookManager.scala:188)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.util.Try$.apply(Try.scala:213)
at org.apache.spark.util.SparkShutdownHookManager.runAll(ShutdownHookManager.scala:188)
at org.apache.spark.util.SparkShutdownHookManager$$anon$2.run(ShutdownHookManager.scala:178)
at java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source)
at java.util.concurrent.FutureTask.run(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.lang.Thread.run(Unknown Source)
Caused by: java.lang.NullPointerException
at org.apache.spark.shuffle.ShuffleBlockPusher$.<init>(ShuffleBlockPusher.scala:465)
at org.apache.spark.shuffle.ShuffleBlockPusher$.<clinit>(ShuffleBlockPusher.scala)
... 16 more
21/11/11 00:14:26 WARN ShutdownHookManager: ShutdownHook '$anon$2' failed, java.util.concurrent.ExecutionException: java.lang.ExceptionInInitializerError
java.util.concurrent.ExecutionException: java.lang.ExceptionInInitializerError
at java.util.concurrent.FutureTask.report(Unknown Source)
at java.util.concurrent.FutureTask.get(Unknown Source)
at
org.apache.hadoop.util.ShutdownHookManager.executeShutdown(ShutdownHookManager.java:124)
at org.apache.hadoop.util.ShutdownHookManager$1.run(ShutdownHookManager.java:95)
Caused by: java.lang.ExceptionInInitializerError
at org.apache.spark.executor.Executor.stop(Executor.scala:333)
at org.apache.spark.executor.Executor.$anonfun$stopHookReference$1(Executor.scala:76)
at org.apache.spark.util.SparkShutdownHook.run(ShutdownHookManager.scala:214)
at
org.apache.spark.util.SparkShutdownHookManager.$anonfun$runAll$2(ShutdownHookManager.scala:188)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:2019)
at
org.apache.spark.util.SparkShutdownHookManager.$anonfun$runAll$1(ShutdownHookManager.scala:188)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.util.Try$.apply(Try.scala:213)
at
org.apache.spark.util.SparkShutdownHookManager.runAll(ShutdownHookManager.scala:188)
at
org.apache.spark.util.SparkShutdownHookManager$$anon$2.run(ShutdownHookManager.scala:178)
at java.util.concurrent.Executors$RunnableAdapter.call(Unknown Source)
at java.util.concurrent.FutureTask.run(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.lang.Thread.run(Unknown Source)
Caused by: java.lang.NullPointerException
at org.apache.spark.shuffle.ShuffleBlockPusher$.<init>(ShuffleBlockPusher.scala:465)
at org.apache.spark.shuffle.ShuffleBlockPusher$.<clinit>(ShuffleBlockPusher.scala)
... 16 more
Can someone please me understand if I'm missing out on something, some dependencies maybe? Thanks.
I encountered the same exception on Windows. I was using Spark version spark-3.2.1-bin-hadoop3.2 then I tried with,
spark-3.1.2-bin-hadoop3.2
Hadoop winutils.exe 3.2.0
Able to launch spark-shell successfully.
This article helped me.
Spark tgz spark-3.2.1-bin-hadoop3.2 to downgrade to spark-3.1.2-bin-hadoop3.2 has fixed
The problem is with the recent download files only. Change your Spark file and Winutils file to a previous version and the issue will get solved.
DOWNLOAD SPARK FILE - spark-2.4.6-bin-hadoop2.7.tgz FROM THIS URL - https://archive.apache.org/dist/spark/spark-2.4.6/
DOWNLOAD WINUTILS.EXE FILE FOR HADOOP 2.7 FROM THIS URL -
https://github.com/steveloughran/winutils/blob/master/hadoop-2.7.1/bin/winutils.exe
Once these files are changed, and point the environment variables to these files, the issue will get resolved.
Try downgrading your Spark version to the less recent one (2.8 works for me)
Am getting the messages from Kafka Topic and writing it to a console. Reading the messages is not an issue, am able to read the message and also print the schema. But when am trying to write it to a console, its failing. Any suggestion would be helpful.
Below is my code,
from pyspark.sql import SparkSession
spark = SparkSession.builder\
.appName("Kafka Spark")\
.config("spark.jars", "/C:/Hadoop/Spark/spark-3.0.0-preview2-bin-hadoop2.7/jars/spark-sql-kafka-0- 10_2.12-3.0.0-preview2.jar")\
.config("spark.executor.extraClassPath", "/C:/Hadoop/Spark/spark-3.0.0-preview2-bin-hadoop2.7/jars/spark-sql-kafka-0-10_2.12-3.0.0-preview2.jar")\
.config("spark.executor.extraLibrary", "/C:/Hadoop/Spark/spark-3.0.0-preview2-bin-hadoop2.7/jars/spark-sql-kafka-0-10_2.12-3.0.0-preview2.jar")\
.config("spark.driver.extraClassPath", "/C:/Hadoop/Spark/spark-3.0.0-preview2-bin-hadoop2.7/jars/spark-sql-kafka-0-10_2.12-3.0.0-preview2.jar")\
.getOrCreate()
dataFrameRead = spark\
.readStream\
.format("kafka")\
.option("kafka.bootstrap.servers", "localhost:9092")\
.option("subscribe", "Jim_Topic")\
.load()
dataFrameRead.printSchema()
dataFrameConsole = dataFrameRead.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")\
.writeStream.outputMode(outputMode='Append').format('console').start()
dataFrameConsole.awaitTermination()
Below is the error,
C:\Users\Macaulay\AppData\Local\Programs\Python\Python38-32\python.exe C:/Users/Macaulay/PycharmProjects/Spark/KafkaSpark/KafkaTopic2CSV.py
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
root
|-- key: binary (nullable = true)
|-- value: binary (nullable = true)
|-- topic: string (nullable = true)
|-- partition: integer (nullable = true)
|-- offset: long (nullable = true)
|-- timestamp: timestamp (nullable = true)
|-- timestampType: integer (nullable = true)
-------------------------------------------
Batch: 0
-------------------------------------------
+---+-----+
|key|value|
+---+-----+
+---+-----+
20/06/14 12:19:18 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1)
java.lang.NoClassDefFoundError: org/apache/commons/pool2/impl/GenericKeyedObjectPoolConfig
at org.apache.spark.sql.kafka010.KafkaDataConsumer$.<init>(KafkaDataConsumer.scala:607)
at org.apache.spark.sql.kafka010.KafkaDataConsumer$.<clinit>(KafkaDataConsumer.scala)
at org.apache.spark.sql.kafka010.KafkaBatchPartitionReader.<init>(KafkaBatchPartitionReader.scala:51)
at org.apache.spark.sql.kafka010.KafkaBatchReaderFactory$.createReader(KafkaBatchPartitionReader.scala:39)
at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD.compute(DataSourceRDD.scala:53)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:441)
at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2092/833428682.apply(Unknown Source)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:444)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.lang.Thread.run(Unknown Source)
Caused by: java.lang.ClassNotFoundException: org.apache.commons.pool2.impl.GenericKeyedObjectPoolConfig
at java.net.URLClassLoader$1.run(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
... 22 more
20/06/14 12:19:18 ERROR TaskSetManager: Task 0 in stage 1.0 failed 1 times; aborting job
20/06/14 12:19:18 ERROR WriteToDataSourceV2Exec: Data source write support org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite#4ad854a4 is aborting.
20/06/14 12:19:18 ERROR WriteToDataSourceV2Exec: Data source write support org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite#4ad854a4 aborted.
20/06/14 12:19:18 ERROR MicroBatchExecution: Query [id = 39f99b61-806b-45da-b717-09a635405011, runId = 1022045a-8a75-4b25-ad41-328cbedcbfc4] terminated with error
org.apache.spark.SparkException: Writing job aborted.
at org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2(WriteToDataSourceV2Exec.scala:407)
at org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2$(WriteToDataSourceV2Exec.scala:355)
at org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.writeWithV2(WriteToDataSourceV2Exec.scala:318)
at org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.doExecute(WriteToDataSourceV2Exec.scala:325)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:173)
at org.apache.spark.sql.execution.SparkPlan$$Lambda$1634/675684139.apply(Unknown Source)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:211)
at org.apache.spark.sql.execution.SparkPlan$$Lambda$1658/109672489.apply(Unknown Source)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:208)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:169)
at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:313)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:362)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3482)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2812)
at org.apache.spark.sql.Dataset$$Lambda$1614/1023696801.apply(Unknown Source)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3472)
at org.apache.spark.sql.Dataset$$Lambda$1615/1752721246.apply(Unknown Source)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)
at org.apache.spark.sql.execution.SQLExecution$$$Lambda$1598/813934425.apply(Unknown Source)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3468)
at org.apache.spark.sql.Dataset.collect(Dataset.scala:2812)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$16(MicroBatchExecution.scala:556)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1591/1450070714.apply(Unknown Source)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)
at org.apache.spark.sql.execution.SQLExecution$$$Lambda$1598/813934425.apply(Unknown Source)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$15(MicroBatchExecution.scala:551)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1590/1332436953.apply(Unknown Source)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:341)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:339)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runBatch(MicroBatchExecution.scala:551)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:212)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1250/619118163.apply$mcV$sp(Unknown Source)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:341)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:339)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:180)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1248/527271024.apply$mcZ$sp(Unknown Source)
at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:174)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:332)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1, BLR-MOB0161.sst.stp, executor driver): java.lang.NoClassDefFoundError: org/apache/commons/pool2/impl/GenericKeyedObjectPoolConfig
at org.apache.spark.sql.kafka010.KafkaDataConsumer$.<init>(KafkaDataConsumer.scala:607)
at org.apache.spark.sql.kafka010.KafkaDataConsumer$.<clinit>(KafkaDataConsumer.scala)
at org.apache.spark.sql.kafka010.KafkaBatchPartitionReader.<init>(KafkaBatchPartitionReader.scala:51)
at org.apache.spark.sql.kafka010.KafkaBatchReaderFactory$.createReader(KafkaBatchPartitionReader.scala:39)
at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD.compute(DataSourceRDD.scala:53)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:441)
at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2092/833428682.apply(Unknown Source)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:444)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.lang.Thread.run(Unknown Source)
Caused by: java.lang.ClassNotFoundException: org.apache.commons.pool2.impl.GenericKeyedObjectPoolConfig
at java.net.URLClassLoader$1.run(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
... 22 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:1989)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1977)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1976)
at org.apache.spark.scheduler.DAGScheduler$$Lambda$2344/77762193.apply(Unknown Source)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1976)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:956)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:956)
at org.apache.spark.scheduler.DAGScheduler$$Lambda$2342/1283673514.apply(Unknown Source)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:956)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2206)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2155)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2144)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:758)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2116)
at org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2(WriteToDataSourceV2Exec.scala:376)
... 47 more
Caused by: java.lang.NoClassDefFoundError: org/apache/commons/pool2/impl/GenericKeyedObjectPoolConfig
at org.apache.spark.sql.kafka010.KafkaDataConsumer$.<init>(KafkaDataConsumer.scala:607)
at org.apache.spark.sql.kafka010.KafkaDataConsumer$.<clinit>(KafkaDataConsumer.scala)
at org.apache.spark.sql.kafka010.KafkaBatchPartitionReader.<init>(KafkaBatchPartitionReader.scala:51)
at org.apache.spark.sql.kafka010.KafkaBatchReaderFactory$.createReader(KafkaBatchPartitionReader.scala:39)
at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD.compute(DataSourceRDD.scala:53)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:441)
at org.apache.spark.executor.Executor$TaskRunner$$Lambda$2092/833428682.apply(Unknown Source)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:444)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
at java.lang.Thread.run(Unknown Source)
Caused by: java.lang.ClassNotFoundException: org.apache.commons.pool2.impl.GenericKeyedObjectPoolConfig
at java.net.URLClassLoader$1.run(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
... 22 more
Traceback (most recent call last):
File "C:\Hadoop\Spark\spark-3.0.0-preview2-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\sql\utils.py", line 98, in deco
File "C:\Hadoop\Spark\spark-3.0.0-preview2-bin-hadoop2.7\python\lib\py4j-0.10.8.1-src.zip\py4j\protocol.py", line 326, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o55.awaitTermination.
: org.apache.spark.sql.streaming.StreamingQueryException: Writing job aborted.
=== Streaming Query ===
Identifier: [id = 39f99b61-806b-45da-b717-09a635405011, runId = 1022045a-8a75-4b25-ad41-328cbedcbfc4]
Current Committed Offsets: {KafkaV2[Subscribe[Jim_Topic]]: {"Jim_Topic":{"2":582,"1":264,"0":470}}}
Current Available Offsets: {KafkaV2[Subscribe[Jim_Topic]]: {"Jim_Topic":{"2":583,"1":264,"0":470}}}
Current State: ACTIVE
Thread State: RUNNABLE
Logical Plan:
WriteToMicroBatchDataSource ConsoleWriter[numRows=20, truncate=true]
+- Project [cast(key#7 as string) AS key#21, cast(value#8 as string) AS value#22]
+- StreamingDataSourceV2Relation [key#7, value#8, topic#9, partition#10, offset#11L, timestamp#12, timestampType#13], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan#1b90a9ca, KafkaV2[Subscribe[Jim_Topic]]
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:353)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)
Caused by: org.apache.spark.SparkException: Writing job aborted.
at org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2(WriteToDataSourceV2Exec.scala:407)
at org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.writeWithV2$(WriteToDataSourceV2Exec.scala:355)
at org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.writeWithV2(WriteToDataSourceV2Exec.scala:318)
at org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.doExecute(WriteToDataSourceV2Exec.scala:325)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:173)
at org.apache.spark.sql.execution.SparkPlan$$Lambda$1634/675684139.apply(Unknown Source)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:211)
at org.apache.spark.sql.execution.SparkPlan$$Lambda$1658/109672489.apply(Unknown Source)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:208)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:169)
at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:313)
at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:362)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3482)
at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2812)
at org.apache.spark.sql.Dataset$$Lambda$1614/1023696801.apply(Unknown Source)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3472)
at org.apache.spark.sql.Dataset$$Lambda$1615/1752721246.apply(Unknown Source)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)
at org.apache.spark.sql.execution.SQLExecution$$$Lambda$1598/813934425.apply(Unknown Source)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3468)
at org.apache.spark.sql.Dataset.collect(Dataset.scala:2812)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$16(MicroBatchExecution.scala:556)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1591/1450070714.apply(Unknown Source)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)
at org.apache.spark.sql.execution.SQLExecution$$$Lambda$1598/813934425.apply(Unknown Source)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$15(MicroBatchExecution.scala:551)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1590/1332436953.apply(Unknown Source)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:341)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:339)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runBatch(MicroBatchExecution.scala:551)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:212)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1250/619118163.apply$mcV$sp(Unknown Source)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:341)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:339)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:180)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$Lambda$1248/527271024.apply$mcZ$sp(Unknown Source)
at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:174)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:332)
... 1 more
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:/Users/Macaulay/PycharmProjects/Spark/KafkaSpark/KafkaTopic2CSV.py", line 22, in <module>
dataFrameConsole = dataFrameRead.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")\
File "C:\Hadoop\Spark\spark-3.0.0-preview2-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\sql\streaming.py", line 103, in awaitTermination
File "C:\Hadoop\Spark\spark-3.0.0-preview2-bin-hadoop2.7\python\lib\py4j-0.10.8.1-src.zip\py4j\java_gateway.py", line 1285, in __call__
File "C:\Hadoop\Spark\spark-3.0.0-preview2-bin-hadoop2.7\python\lib\pyspark.zip\pyspark\sql\utils.py", line 102, in deco
pyspark.sql.utils.StreamingQueryException: Writing job aborted.
=== Streaming Query ===
Identifier: [id = 39f99b61-806b-45da-b717-09a635405011, runId = 1022045a-8a75-4b25-ad41-328cbedcbfc4]
Current Committed Offsets: {KafkaV2[Subscribe[Jim_Topic]]: {"Jim_Topic":{"2":582,"1":264,"0":470}}}
Current Available Offsets: {KafkaV2[Subscribe[Jim_Topic]]: {"Jim_Topic":{"2":583,"1":264,"0":470}}}
Current State: ACTIVE
Thread State: RUNNABLE
Logical Plan:
WriteToMicroBatchDataSource ConsoleWriter[numRows=20, truncate=true]
+- Project [cast(key#7 as string) AS key#21, cast(value#8 as string) AS value#22]
+- StreamingDataSourceV2Relation [key#7, value#8, topic#9, partition#10, offset#11L, timestamp#12, timestampType#13], org.apache.spark.sql.kafka010.KafkaSourceProvider$KafkaScan#1b90a9ca, KafkaV2[Subscribe[Jim_Topic]]
Process finished with exit code 1
You're missing the commons-pool2 jar. Linux version of the session builder config is:
sparkSesh = SparkSession.builder.config("spark.driver.extraClassPath", "/home/ubuntu/jars/spark-sql-kafka-0-10_2.12-3.1.2.jar,/home/ubuntu/jars/commons-pool2-2.11.0.jar")\
etc.
You can find that here: https://mvnrepository.com/artifact/org.apache.commons/commons-pool2/2.11.0
When attempting to train a machine learning model using ALS in Spark's MLLib (1.4) on windows, Pyspark always terminates with a StackoverflowError. I tried adding the checkpoint as described in https://stackoverflow.com/a/31484461/36130 -- doesn't seem to help (although a new directory gets created with every run, it's always empty).
Here's the training code and stack trace:
ranks = [8, 12]
lambdas = [0.1, 10.0]
numIters = [10, 20]
bestModel = None
bestValidationRmse = float("inf")
bestRank = 0
bestLambda = -1.0
bestNumIter = -1
for rank, lmbda, numIter in itertools.product(ranks, lambdas, numIters):
ALS.checkpointInterval = 2
model = ALS.train(training, rank, numIter, lmbda)
validationRmse = computeRmse(model, validation, numValidation)
if (validationRmse < bestValidationRmse):
bestModel = model
bestValidationRmse = validationRmse
bestRank = rank
bestLambda = lmbda
bestNumIter = numIter
testRmse = computeRmse(bestModel, test, numTest)
Stacktrace:
15/08/27 02:02:58 ERROR Executor: Exception in task 3.0 in stage 56.0 (TID 127)
java.lang.StackOverflowError
at java.io.ObjectInputStream$BlockDataInputStream.readInt(Unknown Source)
at java.io.ObjectInputStream.readHandle(Unknown Source)
at java.io.ObjectInputStream.readClassDesc(Unknown Source)
at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.io.ObjectInputStream.readObject0(Unknown Source)
at java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.io.ObjectInputStream.readObject0(Unknown Source)
at java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.io.ObjectInputStream.readObject0(Unknown Source)
at java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.io.ObjectInputStream.readObject0(Unknown Source)
at java.io.ObjectInputStream.readObject(Unknown Source)
at scala.collection.immutable.$colon$colon.readObject(List.scala:362)
at sun.reflect.GeneratedMethodAccessor11.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at java.io.ObjectStreamClass.invokeReadObject(Unknown Source)
at java.io.ObjectInputStream.readSerialData(Unknown Source)
try setting checkpoint directory
sc.setCheckpointDir("/check_point_dir")