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https://issues.apache.org/jira/browse/SPARK-27454?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng resolved SPARK-27454.
-----------------------------------
Resolution: Fixed
Fix Version/s: 3.0.0
> Spark image datasource fail when encounter some illegal images
> --------------------------------------------------------------
>
> Key: SPARK-27454
> URL: https://issues.apache.org/jira/browse/SPARK-27454
> Project: Spark
> Issue Type: Bug
> Components: ML, SQL
> Affects Versions: 2.4.1
> Reporter: Weichen Xu
> Assignee: Weichen Xu
> Priority: Major
> Fix For: 3.0.0
>
>
> Spark image datasource fail when encounter some illegal images. Such as
> exception following:
> {code:java}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
> stage 6.0 failed 4 times, most recent failure: Lost task 0.3 in stage 6.0
> (TID 132, 10.95.233.69, executor 0): java.lang.IllegalArgumentException:
> Numbers of source Raster bands and source color space components do not match:
> at java.awt.image.ColorConvertOp.filter(ColorConvertOp.java:482) at
> com.sun.imageio.plugins.jpeg.JPEGImageReader.acceptPixels(JPEGImageReader.java:1280)
> at com.sun.imageio.plugins.jpeg.JPEGImageReader.readImage(Native Method) at
> com.sun.imageio.plugins.jpeg.JPEGImageReader.readInternal(JPEGImageReader.java:1247)
> at
> com.sun.imageio.plugins.jpeg.JPEGImageReader.read(JPEGImageReader.java:1050)
> at javax.imageio.ImageIO.read(ImageIO.java:1448) at
> javax.imageio.ImageIO.read(ImageIO.java:1352) at
> org.apache.spark.ml.image.ImageSchema$.decode(ImageSchema.scala:136) at
> org.apache.spark.ml.source.image.ImageFileFormat$$anonfun$buildReader$2.apply(ImageFileFormat.scala:84)
> at
> org.apache.spark.ml.source.image.ImageFileFormat$$anonfun$buildReader$2.apply(ImageFileFormat.scala:70)
> at
> org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(FileFormat.scala:147)
> at
> org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(FileFormat.scala:134)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1$$anon$2.getNext(FileScanRDD.scala:226)
> at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:196)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:338)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:196)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(Unknown
> Source) at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
> Source) at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:638)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409) at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55) at
> org.apache.spark.scheduler.Task.doRunTask(Task.scala:139) at
> org.apache.spark.scheduler.Task.run(Task.scala:112) at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:497)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1481) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:503) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748){code}
>
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