I am using UDF with a simple function:
val upper: String => String = _.toUpperCase
import org.apache.spark.sql.functions.udf
val upperUDF = udf(upper)
dataset.withColumn("upper", upperUDF(col('text')).show
But getting the following exception:
java.lang.ClassNotFoundException:
$line20.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$4
at java.net.URLClassLoader.findClass(URLClassLoader.java:381) at
java.lang.ClassLoader.loadClass(ClassLoader.java:424) at
java.lang.ClassLoader.loadClass(ClassLoader.java:357) at
java.lang.Class.forName0(Native Method) at
java.lang.Class.forName(Class.java:348) at
org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67)
at
java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1859)
at
java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1745)
at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2033)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1567)
at
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2278)
at
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2202)
at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2060)
at
Related
I need to convert SQL row filled in var value named rows to vector. I use the steps below
val df = sqlContext.sql("SELECT age,gender FROM test.test2")
val rows: org.apache.spark.rdd.RDD[org.apache.spark.sql.Row] = df.rdd
val doubVals = rows.map{ row => row.getDouble(0) }
val vector = Vectors.dense{ doubVals.collect}
but it gives a lot of exceptions like ClassNotFoundException
scala> val vector = Vectors.dense{ doubVals.collect}
WARN 2017-07-14 02:12:09,477 org.apache.spark.scheduler.TaskSetManager:
Lost task 0.0 in stage 2.0 (TID 7, 192.168.110.200):
java.lang.ClassNotFoundException:
$line31.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw
$$iw$$iw$$iw$$iw$$anonfun$1
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1826)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$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:748)
[Stage 2:> (0 +
3) / 7]ERROR 2017-07-14 02:12:09,787
org.apache.spark.scheduler.TaskSetManager: Task 2 in stage 2.0 failed 4
times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 2
in stage 2.0 failed 4 times, most recent failure: Lost task 2.3 in stage
2.0 (TID 21, 192.168.110.200): java.lang.ClassNotFoundException: $anonfun$1
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1826)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1713)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2000)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
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:86)
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:748)
but it gives me exception: ClassNotFoundException
Could you please help me to solve this error?
look at the following steps ( it does allow me )
scala> val df = Seq(2.0,3.0,3.2,2.3,1.2).toDF("col")
df: org.apache.spark.sql.DataFrame = [col: double]
scala> import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.linalg.Vectors
scala> val rows = df.rdd
rows: org.apache.spark.rdd.RDD[org.apache.spark.sql.Row] = MapPartitionsRDD[3] at rdd at <console>:31
scala> val doubVals = rows.map{ row => row.getDouble(0) }
doubVals: org.apache.spark.rdd.RDD[Double] = MapPartitionsRDD[4] at map at <console>:33
scala> val vector = Vectors.dense{ doubVals.collect}
vector: org.apache.spark.mllib.linalg.Vector = [2.0,3.0,3.2,2.3,1.2]
This should give hints to debug yours
I am new to spark , while trying to read data from the CSV file using the spark session , I am facing the Error
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/spark/sql/sources/HadoopFsRelationProvider
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:763)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:467)
at java.net.URLClassLoader.access$100(URLClassLoader.java:73)
at java.net.URLClassLoader$1.run(URLClassLoader.java:368)
at java.net.URLClassLoader$1.run(URLClassLoader.java:362)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:361)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at java.util.ServiceLoader$LazyIterator.nextService(ServiceLoader.java:370)
at java.util.ServiceLoader$LazyIterator.next(ServiceLoader.java:404)
at java.util.ServiceLoader$1.next(ServiceLoader.java:480)
at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:42)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike$class.filter(TraversableLike.scala:263)
at scala.collection.AbstractTraversable.filter(Traversable.scala:105)
at org.apache.spark.sql.execution.datasources.DataSource.lookupDataSource(DataSource.scala:126)
at org.apache.spark.sql.execution.datasources.DataSource.providingClass$lzycompute(DataSource.scala:78)
at org.apache.spark.sql.execution.datasources.DataSource.providingClass(DataSource.scala:78)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:310)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:149)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:401)
at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:342)
at ReadFromCsv$.main(ReadFromCsv.scala:22)
at ReadFromCsv.main(ReadFromCsv.scala)
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 com.intellij.rt.execution.application.AppMain.main(AppMain.java:144)
Caused by: java.lang.ClassNotFoundException: org.apache.spark.sql.sources.HadoopFsRelationProvider
Code :
object ReadFromCsv {
def main(args: Array[String]) {
val conf = new SparkConf().setAppName("InputFromFile").setMaster("local")
val session = SparkSession.builder()
.config(conf = conf)
.master("local")
.appName("Spark CSV Reader")
.getOrCreate
val df = session.read
.format("com.databricks.spark.csv")
.option("header","true")
.csv("file.csv")
df.createOrReplaceTempView("train")
df.cache()
val resultsCsvDF = session.sql("SELECT * from train ")
resultsCsvDF.show()
}
}
Library dependencies used
org.apache.spark :: spark-sql_2.10, spark-hive_2.10, spark-core_2.10
com.databricks :: spark-csv_2.10
I try to read data from a static textfile stored in HDFS, store its content into an ArrayBuffer which in turn should be broadcasted via sparkContext.broadcast as a BroadcastVariable. I am using cloudera's spark, spark version 1.6.0-cdh5.7.0 and spark-streaming_2.10.
I start the application on yarn using spark-submit:
spark-submit --class my.package.BroadcastStreamTest1 --master yarn --deploy-mode client --conf spark.executor.userClassPathFirst=true current.jar
When I do this, I get an
java.lang.ClassCastException: cannot assign instance of scala.Some to field org.apache.spark.Accumulable.name of type scala.Option in instance of org.apache.spark.Accumulator
The same code used with a hard coded ArrayBuffer work perfectly so I assume it has something to do with the static file resource...
Does anyone have an idea what I am possibly doing wrong? Any help appreciated.
This does not work:
object BroadcastStreamTest1 {
def main(args: Array[String]) {
val sparkConf = new SparkConf()
val streamingContext = new StreamingContext(sparkConf, batchDuration = Seconds(10))
val content = streamingContext.sparkContext
.textFile("hdfs:///data/someTextFile.txt")
.collect()
.toBuffer[String]
val broadCastVar = streamingContext.sparkContext.broadcast(content)
broadCastVar.value.foreach(line => println(line))
streamingContext.start()
streamingContext.awaitTermination()
}
}
This works:
object BroadcastStreamTest2 {
def main(args: Array[String]) {
val sparkConf = new SparkConf()
val streamingContext = new StreamingContext(sparkConf, batchDuration = Seconds(10))
val content = new mutable.ArrayBuffer[String]
(1 to 50).foreach(i => content += "line" + i)
val broadCastVar = streamingContext.sparkContext.broadcast(content)
broadCastVar.value.foreach(line => println(line))
streamingContext.start()
streamingContext.awaitTermination()
}
}
Stacktrace:
16/04/25 10:09:59 ERROR scheduler.TaskSetManager: Task 0 in stage 0.0 failed 4 times; aborting job
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 6, n525.hadoop.mxint.net): java.io.IOException: java.lang.ClassCastException: cannot assign instance of scala.Some to field org.apache.spark.Accumulable.name of type scala.Option in instance of org.apache.spark.Accumulator
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1208)
at org.apache.spark.Accumulable.readObject(Accumulators.scala:151)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at scala.collection.immutable.$colon$colon.readObject(List.scala:362)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:194)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.ClassCastException: cannot assign instance of scala.Some to field org.apache.spark.Accumulable.name of type scala.Option in instance of org.apache.spark.Accumulator
at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2083)
at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1261)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1996)
at java.io.ObjectInputStream.defaultReadObject(ObjectInputStream.java:500)
at org.apache.spark.Accumulable$$anonfun$readObject$1.apply$mcV$sp(Accumulators.scala:152)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1205)
... 30 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1843)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1856)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1869)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1940)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
at net.meetrics.dada.streaming.application.BroadcastStreamTest1$.main(BroadcastStreamTest1.scala:14)
at net.meetrics.dada.streaming.application.BroadcastStreamTest1.main(BroadcastStreamTest1.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: java.lang.ClassCastException: cannot assign instance of scala.Some to field org.apache.spark.Accumulable.name of type scala.Option in instance of org.apache.spark.Accumulator
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1208)
at org.apache.spark.Accumulable.readObject(Accumulators.scala:151)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at scala.collection.immutable.$colon$colon.readObject(List.scala:362)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:194)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.ClassCastException: cannot assign instance of scala.Some to field org.apache.spark.Accumulable.name of type scala.Option in instance of org.apache.spark.Accumulator
at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2083)
at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1261)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1996)
at java.io.ObjectInputStream.defaultReadObject(ObjectInputStream.java:500)
at org.apache.spark.Accumulable$$anonfun$readObject$1.apply$mcV$sp(Accumulators.scala:152)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1205)
... 30 more
The reason was some kind of conflict with my provided jar file.
Without setting
spark.executor.userClassPathFirst=true
it works, unfortunately I could not locate the exact cause of the problem.
I am having difficulties with Joda time and json4s, the error I am getting is the following:
Exception in thread "main" java.lang.NoClassDefFoundError: scala/reflect/Manifest$
at org.json4s.ext.DurationSerializer$.<init>(JodaTimeSerializers.scala:41)
at org.json4s.ext.DurationSerializer$.<clinit>(JodaTimeSerializers.scala)
at org.json4s.ext.JodaTimeSerializers$.all(JodaTimeSerializers.scala:26)
at com.xxx.dts.toolset.jsonWrite$.jsonClob(jsonWrite.scala:21)
at com.xxx.dts.dq.profiling.DQProfilingEngine.profile(DQProfilingEngine.scala:253)
at com.xxx.dts.dq.profiling.Profiler$.main(DQProfilingEngine.scala:58)
at com.xxx.dts.dq.profiling.Profiler.main(DQProfilingEngine.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.ClassNotFoundException: scala.reflect.Manifest$
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
... 16 more
For json4s I have the following setup:
implicit val formats = org.json4s.DefaultFormats ++ org.json4s.ext.JodaTimeSerializers.all
val dateTime = new DateTime()
("Date" -> dateTime.toString)
I suspect that this problem doesn't have much to do with json4s itself. Searching the web for NoClassDefFoundError: scala/reflect/Manifest$ turns up a lot of reports of errors which seem to have something to do with jar version problems and maybe other configuration problems.
Hi I am using standalone hbase and I want to test spark on it. There is no hadoop on my machine.
when I try to get count of a table using HBaseTest.scala (in scala examples)
I get following error:
ERROR TableInputFormat: java.io.IOException: java.lang.reflect.InvocationTargetException
at org.apache.hadoop.hbase.client.HConnectionManager.createConnection(HConnectionManager.java:416)
at org.apache.hadoop.hbase.client.HConnectionManager.createConnection(HConnectionManager.java:393)
at org.apache.hadoop.hbase.client.HConnectionManager.getConnection(HConnectionManager.java:274)
at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:194)
at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:156)
at org.apache.hadoop.hbase.mapreduce.TableInputFormat.setConf(TableInputFormat.java:101)
at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:91)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1632)
at org.apache.spark.rdd.RDD.count(RDD.scala:1012)
at org.apache.spark.examples.HBaseTest$.main(HBaseTest.scala:59)
at org.apache.spark.examples.HBaseTest.main(HBaseTest.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:607)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:167)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:190)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:111)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.hadoop.hbase.client.HConnectionManager.createConnection(HConnectionManager.java:414)
... 23 more
Caused by: java.lang.VerifyError: class org.apache.hadoop.hbase.protobuf.generated.ClientProtos$Result overrides final method getUnknownFields.()Lcom/google/protobuf/UnknownFieldSet;
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:800)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:449)
at java.net.URLClassLoader.access$100(URLClassLoader.java:71)
at java.net.URLClassLoader$1.run(URLClassLoader.java:361)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at org.apache.hadoop.hbase.protobuf.ProtobufUtil.<clinit>(ProtobufUtil.java:176)
at org.apache.hadoop.hbase.ClusterId.parseFrom(ClusterId.java:64)
at org.apache.hadoop.hbase.zookeeper.ZKClusterId.readClusterIdZNode(ZKClusterId.java:69)
at org.apache.hadoop.hbase.client.ZooKeeperRegistry.getClusterId(ZooKeeperRegistry.java:83)
at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.retrieveClusterId(HConnectionManager.java:857)
at org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.<init>(HConnectionManager.java:662)
... 28 more
Exception in thread "main" java.io.IOException: No table was provided.
at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:154)
at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:95)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1632)
at org.apache.spark.rdd.RDD.count(RDD.scala:1012)
at org.apache.spark.examples.HBaseTest$.main(HBaseTest.scala:59)
at org.apache.spark.examples.HBaseTest.main(HBaseTest.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:607)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:167)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:190)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:111)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
I am not able to figure out whats the issue here.
HBaseTest.scala:
object HBaseTest {
def main(args: Array[String]) {
val sparkConf = new SparkConf().setAppName("HBaseTest").setMaster("local")
val sc = new SparkContext(sparkConf)
val conf = HBaseConfiguration.create()
// Other options for configuring scan behavior are available. More information available at
// http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/mapreduce/TableInputFormat.html
conf.set("zookeeper.znode.parent", "/hbase-unsecure")
conf.set("hbase.zookeeper.quorum", "localhost")
conf.set("hbase.zookeeper.property.clientPort","2181")
conf.addResource(new Path("/usr/lib/hbase/hbase-0.94.8/conf/hbase-site.xml"))
conf.set(TableInputFormat.INPUT_TABLE,"test")
// Initialize hBase table if necessary
val admin = new HBaseAdmin(conf)
if (!admin.isTableAvailable("test")) {
print ("inside if statement")
val tableDesc = new HTableDescriptor(TableName.valueOf("test"))
admin.createTable(tableDesc)
}
val hBaseRDD = sc.newAPIHadoopRDD(conf, classOf[TableInputFormat],
classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
classOf[org.apache.hadoop.hbase.client.Result])
hBaseRDD.count()
sc.stop()
}
}
You ar using TableInputFormat class as input format. TableInputFormat class is belong to hadoop Map-reduce API. You need to install hadoop for using TableInputFormat.