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https://issues.apache.org/jira/browse/SPARK-37035?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17429812#comment-17429812
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Apache Spark commented on SPARK-37035:
--------------------------------------
User 'AngersZhuuuu' has created a pull request for this issue:
https://github.com/apache/spark/pull/34308
> Improve error message when use vectorize reader
> -----------------------------------------------
>
> Key: SPARK-37035
> URL: https://issues.apache.org/jira/browse/SPARK-37035
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.2, 3.2.0
> Reporter: angerszhu
> Priority: Major
>
> Vectorized reader won't show which file read failed.
>
> None-vectorize parquet reader
> {code}
> cutionException: Encounter error while reading parquet files. One possible
> cause: Parquet column cannot be converted in the corresponding files. Details:
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:193)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:462)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: org.apache.parquet.io.ParquetDecodingException: Can not read value
> at 1 in block 0 in file hdfs://path/to/failed/file
> at
> org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:251)
> at
> org.apache.parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:207)
> at
> org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:181)
> ... 15 more
> {code}
> Vectorize parquet reader
> {code}
> 21/10/15 18:01:54 WARN TaskSetManager: Lost task 1881.0 in stage 16.0 (TID
> 10380, ip-10-130-169-140.idata-server.shopee.io, executor 168): TaskKilled
> (Stage cancelled)
> : An error occurred while calling o362.showString.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 963
> in stage 17.0 failed 4 times, most recent failure: Lost task 963.3 in stage
> 17.0 (TID 10351, ip-10-130-75-201.idata-server.shopee.io, executor 99):
> java.lang.UnsupportedOperationException:
> org.apache.parquet.column.values.dictionary.PlainValuesDictionary$PlainIntegerDictionary
> at org.apache.parquet.column.Dictionary.decodeToLong(Dictionary.java:49)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetDictionary.decodeToLong(ParquetDictionary.java:36)
> at
> org.apache.spark.sql.execution.vectorized.OnHeapColumnVector.getLong(OnHeapColumnVector.java:364)
> at
> org.apache.spark.sql.execution.vectorized.MutableColumnarRow.getLong(MutableColumnarRow.java:120)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_0_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source)
> at
> org.apache.spark.sql.execution.FileSourceScanExec$$anonfun$doExecute$2$$anonfun$apply$2.apply(DataSourceScanExec.scala:351)
> at
> org.apache.spark.sql.execution.FileSourceScanExec$$anonfun$doExecute$2$$anonfun$apply$2.apply(DataSourceScanExec.scala:349)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:463)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> {code}
>
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