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https://issues.apache.org/jira/browse/SPARK-52240?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-52240:
----------------------------------
Fix Version/s: 3.5.7
(was: 3.5.6)
> VectorizedDeltaLengthByteArrayReader throws ParquetDecodingException: Failed
> to read X bytes
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-52240
> URL: https://issues.apache.org/jira/browse/SPARK-52240
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.5.1
> Reporter: Gang Wu
> Assignee: Daniel Spiewak
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.1.0, 3.5.7
>
>
> {noformat}
> Caused by: org.apache.parquet.io.ParquetDecodingException: Failed to read 7
> bytes
> at
> org.apache.spark.sql.execution.datasources.parquet.VectorizedDeltaLengthByteArrayReader.readBinary(VectorizedDeltaLengthByteArrayReader.java:63)
> at
> org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory$BinaryUpdater.readValues(ParquetVectorUpdaterFactory.java:736)
> at
> org.apache.spark.sql.execution.datasources.parquet.VectorizedRleValuesReader.readBatchInternal(VectorizedRleValuesReader.java:244)
> at
> org.apache.spark.sql.execution.datasources.parquet.VectorizedRleValuesReader.readBatch(VectorizedRleValuesReader.java:176)
> at
> org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBatch(VectorizedColumnReader.java:252)
> at
> org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:342)
> at
> org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:233)
> at
> org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:131)
> at
> org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:593)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)
> at
> org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:893)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:893)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
> at
> org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
> at org.apache.spark.scheduler.Task.run(Task.scala:141)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)
> at
> org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
> at
> org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)
> 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:750){noformat}
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