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Posted to issues@spark.apache.org by "Rajesh Balamohan (JIRA)" <ji...@apache.org> on 2016/04/11 01:43:25 UTC

[jira] [Updated] (SPARK-14520) ClasscastException thrown with spark.sql.parquet.enableVectorizedReader=true

     [ https://issues.apache.org/jira/browse/SPARK-14520?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Rajesh Balamohan updated SPARK-14520:
-------------------------------------
    Description: 
Build details: Spark build from master branch (Apr-10)

TPC-DS at 200 GB scale stored in Parq format stored in hive.

Ran TPC-DS Query27 via Spark beeline client.

{noformat}
 java.lang.ClassCastException: org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader cannot be cast to org.apache.parquet.hadoop.ParquetRecordReader
        at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetInputFormat.createRecordReader(ParquetRelation.scala:480)
        at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetInputFormat.createRecordReader(ParquetRelation.scala:476)
        at org.apache.spark.rdd.SqlNewHadoopRDD$$anon$1.<init>(SqlNewHadoopRDD.scala:161)
        at org.apache.spark.rdd.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:121)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:69)
        at org.apache.spark.scheduler.Task.run(Task.scala:82)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:231)
        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:745)
{noformat}


Creating this JIRA as a placeholder to track this issue.


  was:
Build details: Spark build from master branch (Apr-10)

TPC-DS at 200 GB scale stored in Parq format stored in hive.

Ran TPC-DS Query27 via Spark beeline client.

{noformat}
 java.lang.ClassCastException: org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader cannot be cast to org.apache.parquet.hadoop.ParquetRecordReader
        at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetInputFormat.createRecordReader(ParquetRelation.scala:480)
        at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetInputFormat.createRecordReader(ParquetRelation.scala:476)
        at org.apache.spark.rdd.SqlNewHadoopRDD$$anon$1.<init>(SqlNewHadoopRDD.scala:161)
        at org.apache.spark.rdd.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:121)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:69)
        at org.apache.spark.scheduler.Task.run(Task.scala:82)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:231)
        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:745)
{noformat}


Creating this JIRA as a placeholder to fix this issue.



> ClasscastException thrown with spark.sql.parquet.enableVectorizedReader=true
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-14520
>                 URL: https://issues.apache.org/jira/browse/SPARK-14520
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Rajesh Balamohan
>
> Build details: Spark build from master branch (Apr-10)
> TPC-DS at 200 GB scale stored in Parq format stored in hive.
> Ran TPC-DS Query27 via Spark beeline client.
> {noformat}
>  java.lang.ClassCastException: org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader cannot be cast to org.apache.parquet.hadoop.ParquetRecordReader
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetInputFormat.createRecordReader(ParquetRelation.scala:480)
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetInputFormat.createRecordReader(ParquetRelation.scala:476)
>         at org.apache.spark.rdd.SqlNewHadoopRDD$$anon$1.<init>(SqlNewHadoopRDD.scala:161)
>         at org.apache.spark.rdd.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:121)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
>         at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
>         at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
>         at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:69)
>         at org.apache.spark.scheduler.Task.run(Task.scala:82)
>         at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:231)
>         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:745)
> {noformat}
> Creating this JIRA as a placeholder to track this issue.



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