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

2016-04-10 Thread Liang-Chi Hsieh (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-14520?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15234496#comment-15234496
 ] 

Liang-Chi Hsieh commented on SPARK-14520:
-

Hi [~Rajesh Balamohan], I submitted a PR for this issue. Can you try it? Thanks!

> 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 with 
> "spark.sql.sources.fileScan=false".
> {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$1.(SqlNewHadoopRDD.scala:161)
> at 
> org.apache.spark.rdd.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:121)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:69)
> at org.apache.spark.scheduler.Task.run(Task.scala:82)
> at 
> org.apache.spark.executor.Executor$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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[jira] [Commented] (SPARK-14520) ClasscastException thrown with spark.sql.parquet.enableVectorizedReader=true

2016-04-10 Thread Apache Spark (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-14520?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15234495#comment-15234495
 ] 

Apache Spark commented on SPARK-14520:
--

User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/12292

> 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 with 
> "spark.sql.sources.fileScan=false".
> {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$1.(SqlNewHadoopRDD.scala:161)
> at 
> org.apache.spark.rdd.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:121)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:69)
> at org.apache.spark.scheduler.Task.run(Task.scala:82)
> at 
> org.apache.spark.executor.Executor$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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