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

["Rajesh Balamohan (JIRA)" <ji...@apache.org>]

Rajesh Balamohan created SPARK-14520:
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             Summary: 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 fix this issue.




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