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QiangCai commented on CARBONDATA-1772: -------------------------------------- [~Bjangir] This issue was fixed by pull request 1530. https://github.com/apache/carbondata/pull/1530 > [Streaming]carbon StreamWriter task is failled with ClassCastException > ---------------------------------------------------------------------- > > Key: CARBONDATA-1772 > URL: https://issues.apache.org/jira/browse/CARBONDATA-1772 > Project: CarbonData > Issue Type: Bug > Affects Versions: 1.3.0 > Reporter: Babulal > Attachments: streamingLog.log > > > Run below Seq of commands in spark Shell ( bin/spark-shell --jars > /opt/carbon/carbondata_2.11-1.3.0-SNAPSHOT-shade-hadoop2.7.2.jar --master > yarn-client --executor-memory 1G --executor-cores 2 --driver-memory 1G > ) > // carbon is SparkSession with CarbonStateBuilder > carbon.sql("create table stable (value String,count String) STORED BY > 'carbondata' TBLPROPERTIES ('streaming' = 'true')") > val lines = carbon.readStream.format("socket") .option("host", "localhost") > .option("port", 9999) .load() > val words = lines.as[String].flatMap(_.split(" ")) > val wordCounts = words.groupBy("value").count() > val carbonTable = CarbonEnv.getCarbonTable(Some("default"), "stable")(carbon) > val tablePath = > CarbonStorePath.getCarbonTablePath(carbonTable.getAbsoluteTableIdentifier) > val qry = > wordCounts.writeStream.format("carbondata").outputMode("complete").trigger(ProcessingTime("1 > seconds")).option("tablePath", > tablePath.getPath).option("checkpointLocation", > tablePath.getStreamingCheckpointDir).option("tableName","stable").start() > scala> qry.awaitTermination() > Now in another window run below command > root@master ~ # nc -lk 9999 > babu > Check SparkShell > Stage 1:> (0 + 6) / > 200]17/11/19 17:59:57 WARN TaskSetManager: Lost task 2.0 in stage 1.0 (TID 3, > slave1, executor 2): org.apache.carbondata.streaming.CarbonStreamException: > Task failed while writing rows > at > org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$.writeDataFileTask(CarbonAppendableStreamSink.scala:286) > at > org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileJob$1$$anonfun$apply$mcV$sp$1.apply(CarbonAppendableStreamSink.scala:192) > at > org.apache.spark.sql.execution.streaming.CarbonAppendableStreamSink$$anonfun$writeDataFileJob$1$$anonfun$apply$mcV$sp$1.apply(CarbonAppendableStreamSink.scala:191) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > Caused by: java.lang.ClassCastException: cannot assign instance of > scala.collection.immutable.List$SerializationProxy to field > scala.collection.convert.Wrappers$SeqWrapper.underlying of type > scala.collection.Seq in instance of > scala.collection.convert.Wrappers$SeqWrapper > at > java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2133) > at > java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1305) > at > java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2251) > 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.carbondata.hadoop.util.ObjectSerializationUtil.convertStringToObject(ObjectSerializationUtil.java:99) -- This message was sent by Atlassian JIRA (v6.4.14#64029)