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Posted to issues@spark.apache.org by "angerszhu (Jira)" <ji...@apache.org> on 2021/10/18 04:18:00 UTC
[jira] [Created] (SPARK-37035) Improve error message when use
vectorize reader
angerszhu created SPARK-37035:
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Summary: 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: 3.2.0, 3.1.2
Reporter: angerszhu
Vectorized reader won't show which file read failed.
No-vectorize parquet reader Ono-vectorize parquet reader ```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$$anonfun$10.apply(Executor.scala:408) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)Caused by: org.apache.parquet.io.ParquetDecodingException: Can not read value at 1 in block 0 in file hdfs://R2/projects/data_notificationmart/dwd_traceid_sent_civ_first_di/tz_type=local/grass_region=TW/grass_date=2021-10-13/noti_type=AR/part-00013-22bdd509-4469-47f7-a37e-50fddd4266a7-c000.zstd.parquet at org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:251) at org.apache.parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:207) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at scala.collection.Iterator$$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$1.nextIterator(FileScanRDD.scala:181) ... 15 more```
Vectorize parquet reader```21/10/15 18:01:54 WARN TaskSetManager: Lost task 1881.0 in stage 16.0 (TID 10380, ip-10-130-169-140.idata-server.shopee.io, executor 168): TaskKilled (Stage cancelled): An error occurred while calling o362.showString.: org.apache.spark.SparkException: Job aborted due to stage failure: Task 963 in stage 17.0 failed 4 times, most recent failure: Lost task 963.3 in stage 17.0 (TID 10351, ip-10-130-75-201.idata-server.shopee.io, executor 99): java.lang.UnsupportedOperationException: org.apache.parquet.column.values.dictionary.PlainValuesDictionary$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)```
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