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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/04/12 04:07:25 UTC
[jira] [Resolved] (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 ]
Reynold Xin resolved SPARK-14520.
---------------------------------
Resolution: Fixed
Assignee: Liang-Chi Hsieh
Fix Version/s: 2.0.0
> 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
> Assignee: Liang-Chi Hsieh
> Fix For: 2.0.0
>
>
> 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$1.<init>(SqlNewHadoopRDD.scala:161)
> at org.apache.spark.rdd.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:121)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:69)
> at org.apache.spark.scheduler.Task.run(Task.scala:82)
> at org.apache.spark.executor.Executor$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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