nirav patel created SPARK-26844:
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Summary: Parquet Reader exception - ArrayIndexOutOfBound should
give more information to user
Key: SPARK-26844
URL: https://issues.apache.org/jira/browse/SPARK-26844
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 2.3.1, 2.2.1
Reporter: nirav patel
I get following error while reading parquet file which has primitive datatypes
(INT32, binary)
spark.read.format("parquet").load(path).show() // error happens here
Caused by: java.lang.ArrayIndexOutOfBoundsException
at java.lang.System.arraycopy(Native Method)
at
org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.putBytes(OnHeapColumnVector.java:163)
at
org.apache.spark.sql.execution.vectorized.ColumnVector.appendBytes(ColumnVector.java:733)
at
org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.putByteArray(OnHeapColumnVector.java:410)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedPlainValuesReader.readBinary(VectorizedPlainValuesReader.java:167)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedRleValuesReader.readBinarys(VectorizedRleValuesReader.java:402)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBinaryBatch(VectorizedColumnReader.java:419)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBatch(VectorizedColumnReader.java:203)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:230)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:137)
at
org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
Point if ArrayIndexOutOfBoundsException raised on a column/field spark should
say what particular column/field it is. it helps in troubleshoot.
e.g. I get following error while reading same file using Drill reader.
org.apache.drill.common.exceptions.UserRemoteException: DATA_READ ERROR: Error
reading page data File: /.../../part-00016-00000-m-00016.parquet *Column:
GROUP_NAME* Row Group Start: 5539 Fragment 0:0
I also get more specific information in Drillbit.log
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