use "dispute_df.join(comments_df, dispute_df.COMMENTID ===
comments_df.COMMENTID).first()" instead.
Yong
Date: Fri, 22 Apr 2016 17:42:26 -0400
From: webe...@aim.com
To: user@spark.apache.org
Subject: Java exception when showing join
I am using pyspark with netezza. I am getting a java exception when trying to
show the first row of a join. I can show the first row for of the two
dataframes separately but not the result of a join. I get the same error for
any action I take(first, collect, show). Am I doing something wrong?
from pyspark.sql import SQLContext
sqlContext = SQLContext(sc)
dispute_df =
sqlContext.read.format('com.ibm.spark.netezza').options(url='jdbc:netezza://***:5480/db',
user='***', password='***', dbtable='table1',
driver='com.ibm.spark.netezza').load()
dispute_df.printSchema()
comments_df =
sqlContext.read.format('com.ibm.spark.netezza').options(url='jdbc:netezza://***:5480/db',
user='***', password='***', dbtable='table2',
driver='com.ibm.spark.netezza').load()
comments_df.printSchema()
dispute_df.join(comments_df, dispute_df.COMMENTID ==
comments_df.COMMENTID).first()
root
|-- COMMENTID: string (nullable = true)
|-- EXPORTDATETIME: timestamp (nullable = true)
|-- ARTAGS: string (nullable = true)
|-- POTAGS: string (nullable = true)
|-- INVTAG: string (nullable = true)
|-- ACTIONTAG: string (nullable = true)
|-- DISPUTEFLAG: string (nullable = true)
|-- ACTIONFLAG: string (nullable = true)
|-- CUSTOMFLAG1: string (nullable = true)
|-- CUSTOMFLAG2: string (nullable = true)
root
|-- COUNTRY: string (nullable = true)
|-- CUSTOMER: string (nullable = true)
|-- INVNUMBER: string (nullable = true)
|-- INVSEQNUMBER: string (nullable = true)
|-- LEDGERCODE: string (nullable = true)
|-- COMMENTTEXT: string (nullable = true)
|-- COMMENTTIMESTAMP: timestamp (nullable = true)
|-- COMMENTLENGTH: long (nullable = true)
|-- FREEINDEX: long (nullable = true)
|-- COMPLETEDFLAG: long (nullable = true)
|-- ACTIONFLAG: long (nullable = true)
|-- FREETEXT: string (nullable = true)
|-- USERNAME: string (nullable = true)
|-- ACTION: string (nullable = true)
|-- COMMENTID: string (nullable = true)
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-19-0cb9eb943052> in <module>()
5 comments_df =
sqlContext.read.format('com.ibm.spark.netezza').options(url='jdbc:netezza://dstbld-pda02.bld.dst.ibm.com:5480/BACC_DEV_CSP_NBAAR',
user='rnahar', password='Sfeb2016', dbtable='UK_METRICS.EU_COMMENTS2',
driver='com.ibm.spark.netezza').load()
6 comments_df.printSchema()
----> 7 dispute_df.join(comments_df, dispute_df.COMMENTID ==
comments_df.COMMENTID).first()
/usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/python/pyspark/sql/dataframe.pyc
in first(self)
802 Row(age=2, name=u'Alice')
803 """
--> 804 return self.head()
805
806 @ignore_unicode_prefix
/usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/python/pyspark/sql/dataframe.pyc
in head(self, n)
790 """
791 if n is None:
--> 792 rs = self.head(1)
793 return rs[0] if rs else None
794 return self.take(n)
/usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/python/pyspark/sql/dataframe.pyc
in head(self, n)
792 rs = self.head(1)
793 return rs[0] if rs else None
--> 794 return self.take(n)
795
796 @ignore_unicode_prefix
/usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/python/pyspark/sql/dataframe.pyc
in take(self, num)
304 with SCCallSiteSync(self._sc) as css:
305 port =
self._sc._jvm.org.apache.spark.sql.execution.EvaluatePython.takeAndServe(
--> 306 self._jdf, num)
307 return list(_load_from_socket(port,
BatchedSerializer(PickleSerializer())))
308
/usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py
in __call__(self, *args)
811 answer = self.gateway_client.send_command(command)
812 return_value = get_return_value(
--> 813 answer, self.gateway_client, self.target_id, self.name)
814
815 for temp_arg in temp_args:
/usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/python/pyspark/sql/utils.pyc in
deco(*a, **kw)
43 def deco(*a, **kw):
44 try:
---> 45 return f(*a, **kw)
46 except py4j.protocol.Py4JJavaError as e:
47 s = e.java_exception.toString()
/usr/local/src/spark/spark-1.6.1-bin-hadoop2.6/python/lib/py4j-0.9-src.zip/py4j/protocol.py
in get_return_value(answer, gateway_client, target_id, name)
306 raise Py4JJavaError(
307 "An error occurred while calling {0}{1}{2}.\n".
--> 308 format(target_id, ".", name), value)
309 else:
310 raise Py4JError(
Py4JJavaError: An error occurred while calling
z:org.apache.spark.sql.execution.EvaluatePython.takeAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in
stage 59.0 failed 1 times, most recent failure: Lost task 2.0 in stage 59.0
(TID 1406, localhost): java.io.IOException: EOF whilst processing escape
sequence
at org.apache.commons.csv.Lexer.readEscape(Lexer.java:346)
at org.apache.commons.csv.Lexer.parseSimpleToken(Lexer.java:200)
at org.apache.commons.csv.Lexer.nextToken(Lexer.java:161)
at org.apache.commons.csv.CSVParser.nextRecord(CSVParser.java:498)
at org.apache.commons.csv.CSVParser.getRecords(CSVParser.java:365)
at
com.ibm.spark.netezza.NetezzaRecordParser.parse(NetezzaRecordParser.scala:43)
at com.ibm.spark.netezza.NetezzaDataReader.next(NetezzaDataReader.scala:136)
at com.ibm.spark.netezza.NetezzaRDD$$anon$1.getNext(NetezzaRDD.scala:77)
at com.ibm.spark.netezza.NetezzaRDD$$anon$1.hasNext(NetezzaRDD.scala:106)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1143)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:618)
at java.lang.Thread.run(Thread.java:785)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$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$$anon$1.run(EventLoop.scala:48)
at java.lang.Thread.getStackTrace(Thread.java:1117)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:212)
at
org.apache.spark.sql.execution.EvaluatePython$$anonfun$takeAndServe$1.apply$mcI$sp(python.scala:126)
at
org.apache.spark.sql.execution.EvaluatePython$$anonfun$takeAndServe$1.apply(python.scala:124)
at
org.apache.spark.sql.execution.EvaluatePython$$anonfun$takeAndServe$1.apply(python.scala:124)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2086)
at
org.apache.spark.sql.execution.EvaluatePython$.takeAndServe(python.scala:124)
at org.apache.spark.sql.execution.EvaluatePython.takeAndServe(python.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:95)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:55)
at java.lang.reflect.Method.invoke(Method.java:507)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:209)
at java.lang.Thread.run(Thread.java:785)
Caused by: java.io.IOException: EOF whilst processing escape sequence
at org.apache.commons.csv.Lexer.readEscape(Lexer.java:346)
at org.apache.commons.csv.Lexer.parseSimpleToken(Lexer.java:200)
at org.apache.commons.csv.Lexer.nextToken(Lexer.java:161)
at org.apache.commons.csv.CSVParser.nextRecord(CSVParser.java:498)
at org.apache.commons.csv.CSVParser.getRecords(CSVParser.java:365)
at
com.ibm.spark.netezza.NetezzaRecordParser.parse(NetezzaRecordParser.scala:43)
at com.ibm.spark.netezza.NetezzaDataReader.next(NetezzaDataReader.scala:136)
at com.ibm.spark.netezza.NetezzaRDD$$anon$1.getNext(NetezzaRDD.scala:77)
at com.ibm.spark.netezza.NetezzaRDD$$anon$1.hasNext(NetezzaRDD.scala:106)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1143)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:618)
... 1 more
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