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 In [ ]: