[SPARK-18075] UDF doesn't work on non-local spark - ASF JIRA

XML

Word

Printable

JSON

Details

Type: Bug
Status: Closed
Priority: Major
Resolution: Not A Problem
Affects Version/s: 1.6.1, 2.0.0
Fix Version/s: None
Component/s: SQL
Labels:
None

Description

I have the issue with Spark 2.0.0 (spark-2.0.0-bin-hadoop2.7.tar.gz)

According to this ticket https://issues.apache.org/jira/browse/SPARK-9219 I've made all spark dependancies with PROVIDED scope. I use 100% same versions of spark in the app as well as for spark server.

Here is my pom:

pom.xml

<properties>
        <maven.compiler.source>1.6</maven.compiler.source>
        <maven.compiler.target>1.6</maven.compiler.target>
        <encoding>UTF-8</encoding>
        <scala.version>2.11.8</scala.version>
        <spark.version>2.0.0</spark.version>
        <hadoop.version>2.7.0</hadoop.version>
    </properties>

    <dependencies>

        <!--Spark-->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>${spark.version}</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>${spark.version}</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_2.11</artifactId>
            <version>${spark.version}</version>
            <scope>provided</scope>
        </dependency>

    </dependencies>

As you can see all spark dependencies have provided scope

And this is a code for reproduction:

udfTest.scala

import org.apache.spark.sql.types.{StringType, StructField, StructType}
import org.apache.spark.sql.{Row, SparkSession}

/**
  * Created by nborunov on 10/19/16.
  */
object udfTest {

  class Seq extends Serializable {
    var i = 0

    def getVal: Int = {
      i = i + 1
      i
    }
  }

  def main(args: Array[String]) {

    val spark = SparkSession
      .builder()
            .master("spark://nborunov-mbp.local:7077")
//      .master("local")
      .getOrCreate()

    val rdd = spark.sparkContext.parallelize(Seq(Row("one"), Row("two")))

    val schema = StructType(Array(StructField("name", StringType)))

    val df = spark.createDataFrame(rdd, schema)

    df.show()

    spark.udf.register("func", (name: String) => name.toUpperCase)

    import org.apache.spark.sql.functions.expr

    val newDf = df.withColumn("upperName", expr("func(name)"))

    newDf.show()

    val seq = new Seq

    spark.udf.register("seq", () => seq.getVal)

    val seqDf = df.withColumn("id", expr("seq()"))

    seqDf.show()

    df.createOrReplaceTempView("df")

    spark.sql("select *, seq() as sql_id from df").show()

  }

}

When .master("local") - everything works fine. When .master("spark://...:7077"), it fails on line:

newDf.show()

The error is exactly the same:

scala> udfTest.main(Array())
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/Users/nborunov/.m2/repository/org/slf4j/slf4j-log4j12/1.7.16/slf4j-log4j12-1.7.16.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/Users/nborunov/.m2/repository/ch/qos/logback/logback-classic/1.1.7/logback-classic-1.1.7.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
16/10/19 19:37:52 INFO SparkContext: Running Spark version 2.0.0
16/10/19 19:37:52 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/10/19 19:37:52 INFO SecurityManager: Changing view acls to: nborunov
16/10/19 19:37:52 INFO SecurityManager: Changing modify acls to: nborunov
16/10/19 19:37:52 INFO SecurityManager: Changing view acls groups to: 
16/10/19 19:37:52 INFO SecurityManager: Changing modify acls groups to: 
16/10/19 19:37:52 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(nborunov); groups with view permissions: Set(); users  with modify permissions: Set(nborunov); groups with modify permissions: Set()
16/10/19 19:37:53 INFO Utils: Successfully started service 'sparkDriver' on port 57828.
16/10/19 19:37:53 INFO SparkEnv: Registering MapOutputTracker
16/10/19 19:37:53 INFO SparkEnv: Registering BlockManagerMaster
16/10/19 19:37:53 INFO DiskBlockManager: Created local directory at /private/var/folders/hl/2fv6555n2w92272zywwvpbzh0000gq/T/blockmgr-f2d05423-b7f7-4525-b41e-10dfe2f88264
16/10/19 19:37:53 INFO MemoryStore: MemoryStore started with capacity 2004.6 MB
16/10/19 19:37:53 INFO SparkEnv: Registering OutputCommitCoordinator
16/10/19 19:37:54 INFO Utils: Successfully started service 'SparkUI' on port 4040.
16/10/19 19:37:54 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://192.168.2.202:4040
16/10/19 19:37:54 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://nborunov-mbp.local:7077...
16/10/19 19:37:54 INFO TransportClientFactory: Successfully created connection to nborunov-mbp.local/192.168.2.202:7077 after 74 ms (0 ms spent in bootstraps)
16/10/19 19:37:55 INFO StandaloneSchedulerBackend: Connected to Spark cluster with app ID app-20161019153755-0017
16/10/19 19:37:55 INFO StandaloneAppClient$ClientEndpoint: Executor added: app-20161019153755-0017/0 on worker-20161018232014-192.168.2.202-61437 (192.168.2.202:61437) with 4 cores
16/10/19 19:37:55 INFO StandaloneSchedulerBackend: Granted executor ID app-20161019153755-0017/0 on hostPort 192.168.2.202:61437 with 4 cores, 1024.0 MB RAM
16/10/19 19:37:55 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 57832.
16/10/19 19:37:55 INFO NettyBlockTransferService: Server created on 192.168.2.202:57832
16/10/19 19:37:55 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 192.168.2.202, 57832)
16/10/19 19:37:55 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.2.202:57832 with 2004.6 MB RAM, BlockManagerId(driver, 192.168.2.202, 57832)
16/10/19 19:37:55 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 192.168.2.202, 57832)
16/10/19 19:37:55 INFO StandaloneAppClient$ClientEndpoint: Executor updated: app-20161019153755-0017/0 is now RUNNING
16/10/19 19:37:55 INFO StandaloneSchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
16/10/19 19:37:55 WARN SparkContext: Use an existing SparkContext, some configuration may not take effect.
16/10/19 19:37:56 INFO HiveSharedState: spark.sql.warehouse.dir is not set, but hive.metastore.warehouse.dir is set. Setting spark.sql.warehouse.dir to the value of hive.metastore.warehouse.dir ('/user/hive/warehouse').
16/10/19 19:37:56 INFO HiveSharedState: Warehouse path is '/user/hive/warehouse'.
16/10/19 19:37:58 INFO HiveUtils: Initializing HiveMetastoreConnection version 1.2.1 using Spark classes.
16/10/19 19:37:58 INFO deprecation: mapred.max.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.maxsize
16/10/19 19:37:58 INFO deprecation: mapred.reduce.tasks.speculative.execution is deprecated. Instead, use mapreduce.reduce.speculative
16/10/19 19:37:58 INFO deprecation: mapred.committer.job.setup.cleanup.needed is deprecated. Instead, use mapreduce.job.committer.setup.cleanup.needed
16/10/19 19:37:58 INFO deprecation: mapred.min.split.size.per.rack is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize.per.rack
16/10/19 19:37:58 INFO deprecation: mapred.min.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize
16/10/19 19:37:58 INFO deprecation: mapred.min.split.size.per.node is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize.per.node
16/10/19 19:37:58 INFO deprecation: mapred.reduce.tasks is deprecated. Instead, use mapreduce.job.reduces
16/10/19 19:37:58 INFO deprecation: mapred.input.dir.recursive is deprecated. Instead, use mapreduce.input.fileinputformat.input.dir.recursive
16/10/19 19:37:59 INFO metastore: Trying to connect to metastore with URI thrift://ip-10-100-102-90.iad.sessionm.com:9083
16/10/19 19:37:59 INFO metastore: Connected to metastore.
16/10/19 19:38:00 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(null) (192.168.2.202:57835) with ID 0
16/10/19 19:38:00 INFO BlockManagerMasterEndpoint: Registering block manager 192.168.2.202:57837 with 366.3 MB RAM, BlockManagerId(0, 192.168.2.202, 57837)
16/10/19 19:38:01 WARN BlockReaderLocal: The short-circuit local reads feature cannot be used because libhadoop cannot be loaded.
16/10/19 19:38:01 INFO SessionState: Created local directory: /var/folders/hl/2fv6555n2w92272zywwvpbzh0000gq/T/e1377cbe-3c79-4a44-b0be-551f2b73b931_resources
16/10/19 19:38:01 INFO SessionState: Created HDFS directory: /tmp/hive/nborunov/e1377cbe-3c79-4a44-b0be-551f2b73b931
16/10/19 19:38:01 INFO SessionState: Created local directory: /var/folders/hl/2fv6555n2w92272zywwvpbzh0000gq/T/nborunov/e1377cbe-3c79-4a44-b0be-551f2b73b931
16/10/19 19:38:01 INFO SessionState: Created HDFS directory: /tmp/hive/nborunov/e1377cbe-3c79-4a44-b0be-551f2b73b931/_tmp_space.db
16/10/19 19:38:01 INFO HiveClientImpl: Warehouse location for Hive client (version 1.2.1) is /user/hive/warehouse
16/10/19 19:38:02 INFO SessionState: Created local directory: /var/folders/hl/2fv6555n2w92272zywwvpbzh0000gq/T/4cdb5e78-de4b-4919-b490-4f414c129ed1_resources
16/10/19 19:38:02 INFO SessionState: Created HDFS directory: /tmp/hive/nborunov/4cdb5e78-de4b-4919-b490-4f414c129ed1
16/10/19 19:38:02 INFO SessionState: Created local directory: /var/folders/hl/2fv6555n2w92272zywwvpbzh0000gq/T/nborunov/4cdb5e78-de4b-4919-b490-4f414c129ed1
16/10/19 19:38:02 INFO SessionState: Created HDFS directory: /tmp/hive/nborunov/4cdb5e78-de4b-4919-b490-4f414c129ed1/_tmp_space.db
16/10/19 19:38:02 INFO HiveClientImpl: Warehouse location for Hive client (version 1.2.1) is /user/hive/warehouse
16/10/19 19:38:03 INFO SparkContext: Starting job: show at udfTest.scala:36
16/10/19 19:38:03 INFO DAGScheduler: Got job 0 (show at udfTest.scala:36) with 1 output partitions
16/10/19 19:38:03 INFO DAGScheduler: Final stage: ResultStage 0 (show at udfTest.scala:36)
16/10/19 19:38:03 INFO DAGScheduler: Parents of final stage: List()
16/10/19 19:38:03 INFO DAGScheduler: Missing parents: List()
16/10/19 19:38:03 INFO DAGScheduler: Submitting ResultStage 0 (MapPartitionsRDD[3] at show at udfTest.scala:36), which has no missing parents
16/10/19 19:38:03 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 6.9 KB, free 2004.6 MB)
16/10/19 19:38:03 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 3.8 KB, free 2004.6 MB)
16/10/19 19:38:03 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.2.202:57832 (size: 3.8 KB, free: 2004.6 MB)
16/10/19 19:38:03 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:1012
16/10/19 19:38:03 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 0 (MapPartitionsRDD[3] at show at udfTest.scala:36)
16/10/19 19:38:03 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks
16/10/19 19:38:04 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, 192.168.2.202, partition 0, PROCESS_LOCAL, 5381 bytes)
16/10/19 19:38:04 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Launching task 0 on executor id: 0 hostname: 192.168.2.202.
16/10/19 19:38:04 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 192.168.2.202:57837 (size: 3.8 KB, free: 366.3 MB)
16/10/19 19:38:07 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 3235 ms on 192.168.2.202 (1/1)
16/10/19 19:38:07 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool 
16/10/19 19:38:07 INFO DAGScheduler: ResultStage 0 (show at udfTest.scala:36) finished in 3.265 s
16/10/19 19:38:07 INFO DAGScheduler: Job 0 finished: show at udfTest.scala:36, took 3.629356 s
16/10/19 19:38:07 INFO SparkContext: Starting job: show at udfTest.scala:36
16/10/19 19:38:07 INFO DAGScheduler: Got job 1 (show at udfTest.scala:36) with 1 output partitions
16/10/19 19:38:07 INFO DAGScheduler: Final stage: ResultStage 1 (show at udfTest.scala:36)
16/10/19 19:38:07 INFO DAGScheduler: Parents of final stage: List()
16/10/19 19:38:07 INFO DAGScheduler: Missing parents: List()
16/10/19 19:38:07 INFO DAGScheduler: Submitting ResultStage 1 (MapPartitionsRDD[3] at show at udfTest.scala:36), which has no missing parents
16/10/19 19:38:07 INFO MemoryStore: Block broadcast_1 stored as values in memory (estimated size 6.9 KB, free 2004.6 MB)
16/10/19 19:38:07 INFO MemoryStore: Block broadcast_1_piece0 stored as bytes in memory (estimated size 3.8 KB, free 2004.6 MB)
16/10/19 19:38:07 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 192.168.2.202:57832 (size: 3.8 KB, free: 2004.6 MB)
16/10/19 19:38:07 INFO SparkContext: Created broadcast 1 from broadcast at DAGScheduler.scala:1012
16/10/19 19:38:07 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 1 (MapPartitionsRDD[3] at show at udfTest.scala:36)
16/10/19 19:38:07 INFO TaskSchedulerImpl: Adding task set 1.0 with 1 tasks
16/10/19 19:38:07 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 1, 192.168.2.202, partition 1, PROCESS_LOCAL, 5381 bytes)
16/10/19 19:38:07 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Launching task 1 on executor id: 0 hostname: 192.168.2.202.
16/10/19 19:38:07 INFO BlockManagerInfo: Added broadcast_1_piece0 in memory on 192.168.2.202:57837 (size: 3.8 KB, free: 366.3 MB)
16/10/19 19:38:07 INFO TaskSetManager: Finished task 0.0 in stage 1.0 (TID 1) in 85 ms on 192.168.2.202 (1/1)
16/10/19 19:38:07 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool 
16/10/19 19:38:07 INFO DAGScheduler: ResultStage 1 (show at udfTest.scala:36) finished in 0.087 s
16/10/19 19:38:07 INFO DAGScheduler: Job 1 finished: show at udfTest.scala:36, took 0.103358 s
16/10/19 19:38:07 INFO BlockManagerInfo: Removed broadcast_0_piece0 on 192.168.2.202:57832 in memory (size: 3.8 KB, free: 2004.6 MB)
16/10/19 19:38:07 INFO BlockManagerInfo: Removed broadcast_0_piece0 on 192.168.2.202:57837 in memory (size: 3.8 KB, free: 366.3 MB)
16/10/19 19:38:07 INFO BlockManagerInfo: Removed broadcast_1_piece0 on 192.168.2.202:57832 in memory (size: 3.8 KB, free: 2004.6 MB)
16/10/19 19:38:07 INFO BlockManagerInfo: Removed broadcast_1_piece0 on 192.168.2.202:57837 in memory (size: 3.8 KB, free: 366.3 MB)
16/10/19 19:38:08 INFO CodeGenerator: Code generated in 638.80317 ms
+----+
|name|
+----+
| one|
| two|
+----+

16/10/19 19:38:08 INFO SparkSqlParser: Parsing command: func(name)
16/10/19 19:38:09 INFO CodeGenerator: Code generated in 51.788495 ms
16/10/19 19:38:09 INFO SparkContext: Starting job: show at udfTest.scala:44
16/10/19 19:38:09 INFO DAGScheduler: Got job 2 (show at udfTest.scala:44) with 1 output partitions
16/10/19 19:38:09 INFO DAGScheduler: Final stage: ResultStage 2 (show at udfTest.scala:44)
16/10/19 19:38:09 INFO DAGScheduler: Parents of final stage: List()
16/10/19 19:38:09 INFO DAGScheduler: Missing parents: List()
16/10/19 19:38:09 INFO DAGScheduler: Submitting ResultStage 2 (MapPartitionsRDD[6] at show at udfTest.scala:44), which has no missing parents
16/10/19 19:38:09 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 11.4 KB, free 2004.6 MB)
16/10/19 19:38:09 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 5.7 KB, free 2004.6 MB)
16/10/19 19:38:09 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on 192.168.2.202:57832 (size: 5.7 KB, free: 2004.6 MB)
16/10/19 19:38:09 INFO SparkContext: Created broadcast 2 from broadcast at DAGScheduler.scala:1012
16/10/19 19:38:09 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 2 (MapPartitionsRDD[6] at show at udfTest.scala:44)
16/10/19 19:38:09 INFO TaskSchedulerImpl: Adding task set 2.0 with 1 tasks
16/10/19 19:38:09 INFO TaskSetManager: Starting task 0.0 in stage 2.0 (TID 2, 192.168.2.202, partition 0, PROCESS_LOCAL, 5381 bytes)
16/10/19 19:38:09 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Launching task 2 on executor id: 0 hostname: 192.168.2.202.
16/10/19 19:38:09 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on 192.168.2.202:57837 (size: 5.7 KB, free: 366.3 MB)
16/10/19 19:38:09 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 2, 192.168.2.202): java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD
	at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2133)
	at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1305)
	at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2006)
	at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
	at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
	at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
	at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
	at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
	at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
	at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
	at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
	at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
	at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
	at org.apache.spark.scheduler.Task.run(Task.scala:85)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)

16/10/19 19:38:09 INFO TaskSetManager: Starting task 0.1 in stage 2.0 (TID 3, 192.168.2.202, partition 0, PROCESS_LOCAL, 5381 bytes)
16/10/19 19:38:09 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Launching task 3 on executor id: 0 hostname: 192.168.2.202.
16/10/19 19:38:09 INFO TaskSetManager: Lost task 0.1 in stage 2.0 (TID 3) on executor 192.168.2.202: java.lang.ClassCastException (cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 1]
16/10/19 19:38:09 INFO TaskSetManager: Starting task 0.2 in stage 2.0 (TID 4, 192.168.2.202, partition 0, PROCESS_LOCAL, 5381 bytes)
16/10/19 19:38:09 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Launching task 4 on executor id: 0 hostname: 192.168.2.202.
16/10/19 19:38:09 INFO TaskSetManager: Lost task 0.2 in stage 2.0 (TID 4) on executor 192.168.2.202: java.lang.ClassCastException (cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 2]
16/10/19 19:38:09 INFO TaskSetManager: Starting task 0.3 in stage 2.0 (TID 5, 192.168.2.202, partition 0, PROCESS_LOCAL, 5381 bytes)
16/10/19 19:38:09 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Launching task 5 on executor id: 0 hostname: 192.168.2.202.
16/10/19 19:38:09 INFO TaskSetManager: Lost task 0.3 in stage 2.0 (TID 5) on executor 192.168.2.202: java.lang.ClassCastException (cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD) [duplicate 3]
16/10/19 19:38:09 ERROR TaskSetManager: Task 0 in stage 2.0 failed 4 times; aborting job
16/10/19 19:38:09 INFO TaskSchedulerImpl: Removed TaskSet 2.0, whose tasks have all completed, from pool 
16/10/19 19:38:09 INFO TaskSchedulerImpl: Cancelling stage 2
16/10/19 19:38:09 INFO DAGScheduler: ResultStage 2 (show at udfTest.scala:44) failed in 0.354 s
16/10/19 19:38:09 INFO DAGScheduler: Job 2 failed: show at udfTest.scala:44, took 0.373604 s
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 5, 192.168.2.202): java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD
	at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2133)
	at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1305)
	at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2006)
	at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
	at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
	at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
	at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
	at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
	at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
	at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
	at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
	at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
	at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
	at org.apache.spark.scheduler.Task.run(Task.scala:85)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
  at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437)
  at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
  at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
  at scala.Option.foreach(Option.scala:257)
  at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607)
  at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
  at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:1871)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:1884)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:1897)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:347)
  at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:39)
  at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2183)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
  at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2532)
  at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2182)
  at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2189)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1925)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1924)
  at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2562)
  at org.apache.spark.sql.Dataset.head(Dataset.scala:1924)
  at org.apache.spark.sql.Dataset.take(Dataset.scala:2139)
  at org.apache.spark.sql.Dataset.showString(Dataset.scala:239)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:526)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:486)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:495)
  at udfTest$.main(udfTest.scala:44)
  ... 29 elided
Caused by: java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD
  at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2133)
  at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1305)
  at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2006)
  at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
  at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
  at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
  at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
  at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
  at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
  at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
  at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
  at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
  at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
  at org.apache.spark.scheduler.Task.run(Task.scala:85)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
  at java.lang.Thread.run(Thread.java:745)

scala>

Attachments

Issue Links

is duplicated by

SPARK-20525 ClassCast exception when interpreting UDFs from a String in spark-shell

Resolved

SPARK-18802 java.lang.ClassCastException in a simple spark application

Closed

Activity

People

Assignee:: Unassigned

Reporter:: Nick Orka

Votes:: 2 Vote for this issue

Watchers:: 10 Start watching this issue

Dates

Created:: 24/Oct/16 14:03

Updated:: 03/Oct/21 23:32

Resolved:: 25/Nov/16 05:12