[
https://issues.apache.org/jira/browse/CARBONDATA-4215?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Indhumathi resolved CARBONDATA-4215.
------------------------------------
Fix Version/s: 2.3.0
Resolution: Fixed
> When carbon.enable.vector.reader=false and upon adding a parquet segment
> through alter add segments in a carbon table , we are getting error in
> count(*)
> --------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: CARBONDATA-4215
> URL: https://issues.apache.org/jira/browse/CARBONDATA-4215
> Project: CarbonData
> Issue Type: Bug
> Affects Versions: 2.1.1
> Environment: 3 node FI
> Reporter: Prasanna Ravichandran
> Priority: Minor
> Fix For: 2.3.0
>
> Time Spent: 11h 50m
> Remaining Estimate: 0h
>
> When carbon.enable.vector.reader=false and upon adding a parquet segment
> through alter add segments in a carbon table , we are getting error in
> count(*).
>
> Test queries:
> --set carbon.enable.vector.reader=false in carbon.properties;
> use default;
> drop table if exists uniqdata;
> CREATE TABLE uniqdata (cust_id int,cust_name String,active_emui_version
> string, dob timestamp, doj timestamp, bigint_column1 bigint,bigint_column2
> bigint,decimal_column1 decimal(30,10), decimal_column2
> decimal(36,36),double_column1 double, double_column2 double,integer_column1
> int) stored as carbondata;
> load data inpath 'hdfs://hacluster/user/prasanna/2000_UniqData.csv' into
> table uniqdata
> options('fileheader'='cust_id,cust_name,active_emui_version,dob,doj,bigint_column1,bigint_column2,decimal_column1,decimal_column2,double_column1,double_column2,integer_column1','bad_records_action'='force');
> drop table if exists uniqdata_parquet;
> CREATE TABLE uniqdata_parquet (cust_id int,cust_name
> String,active_emui_version string, dob timestamp, doj timestamp,
> bigint_column1 bigint,bigint_column2 bigint,decimal_column1 decimal(30,10),
> decimal_column2 decimal(36,36),double_column1 double, double_column2
> double,integer_column1 int) stored as parquet;
> insert into uniqdata_parquet select * from uniqdata;
> create database if not exists test;
> use test;
> CREATE TABLE uniqdata (cust_id int,cust_name String,active_emui_version
> string, dob timestamp, doj timestamp, bigint_column1 bigint,bigint_column2
> bigint,decimal_column1 decimal(30,10), decimal_column2
> decimal(36,36),double_column1 double, double_column2 double,integer_column1
> int) stored as carbondata;
> load data inpath 'hdfs://hacluster/user/prasanna/2000_UniqData.csv' into
> table uniqdata
> options('fileheader'='cust_id,cust_name,active_emui_version,dob,doj,bigint_column1,bigint_column2,decimal_column1,decimal_column2,double_column1,double_column2,integer_column1','bad_records_action'='force');
> Alter table uniqdata add segment options
> ('path'='hdfs://hacluster/user/hive/warehouse/uniqdata_parquet','format'='parquet');
> select count(*) from uniqdata; -- throwing error class cast exception;
>
> Error Log traces:
> java.lang.ClassCastException: org.apache.spark.sql.vectorized.ColumnarBatch
> cannot be cast to org.apache.spark.sql.catalyst.InternalRow
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:584)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:132)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:58)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:102)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:413)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1551)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:419)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> 2021-06-19 13:50:59,035 | WARN | task-result-getter-2 | Lost task 0.0 in
> stage 4.0 (TID 28, localhost, executor driver): java.lang.ClassCastException:
> org.apache.spark.sql.vectorized.ColumnarBatch cannot be cast to
> org.apache.spark.sql.catalyst.InternalRow
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:584)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:132)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:58)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:102)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:413)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1551)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:419)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> | org.apache.spark.scheduler.TaskSetManager.logWarning(Logging.scala:66)
> 2021-06-19 13:50:59,037 | ERROR | task-result-getter-2 | Task 0 in stage 4.0
> failed 1 times; aborting job |
> org.apache.spark.scheduler.TaskSetManager.logError(Logging.scala:70)
> 2021-06-19 13:50:59,048 | ERROR | main | Failed in [select count(*) from
> uniqdata] |
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.logError(Logging.scala:91)
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
> stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0
> (TID 28, localhost, executor driver): java.lang.ClassCastException:
> org.apache.spark.sql.vectorized.ColumnarBatch cannot be cast to
> org.apache.spark.sql.catalyst.InternalRow
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:584)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:132)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:58)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:102)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:413)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1551)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:419)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2027)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1972)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1971)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:987)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:987)
> at scala.Option.foreach(Option.scala:257)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:987)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2207)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2156)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2145)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:794)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2234)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2255)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2274)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2299)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:989)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:384)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:988)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:345)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:372)
> at
> org.apache.spark.sql.execution.QueryExecution.hiveResultString(QueryExecution.scala:127)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver$$anonfun$run$1.apply(SparkSQLDriver.scala:66)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver$$anonfun$run$1.apply(SparkSQLDriver.scala:66)
> at
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1$$anonfun$apply$1.apply(SQLExecution.scala:95)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:144)
> at
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:86)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:789)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:63)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:65)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:383)
> at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:408)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:277)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
> at
> org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:882)
> at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:164)
> at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:187)
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:89)
> at
> org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:957)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:966)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> Caused by: java.lang.ClassCastException:
> org.apache.spark.sql.vectorized.ColumnarBatch cannot be cast to
> org.apache.spark.sql.catalyst.InternalRow
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:584)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:132)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:58)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:102)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:413)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1551)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:419)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
> stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0
> (TID 28, localhost, executor driver): java.lang.ClassCastException:
> org.apache.spark.sql.vectorized.ColumnarBatch cannot be cast to
> org.apache.spark.sql.catalyst.InternalRow
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:584)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:132)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:58)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:102)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:413)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1551)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:419)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2027)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1972)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1971)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:987)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:987)
> at scala.Option.foreach(Option.scala:257)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:987)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2207)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2156)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2145)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:794)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2234)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2255)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2274)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2299)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:989)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:384)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:988)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:345)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:372)
> at
> org.apache.spark.sql.execution.QueryExecution.hiveResultString(QueryExecution.scala:127)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver$$anonfun$run$1.apply(SparkSQLDriver.scala:66)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver$$anonfun$run$1.apply(SparkSQLDriver.scala:66)
> at
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1$$anonfun$apply$1.apply(SQLExecution.scala:95)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:144)
> at
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:86)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:789)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:63)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:65)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:383)
> at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:408)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:277)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
> at
> org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:882)
> at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:164)
> at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:187)
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:89)
> at
> org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:957)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:966)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> Caused by: java.lang.ClassCastException:
> org.apache.spark.sql.vectorized.ColumnarBatch cannot be cast to
> org.apache.spark.sql.catalyst.InternalRow
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:584)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:132)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:58)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:102)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:413)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1551)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:419)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
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