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Posted to issues@spark.apache.org by "Weichen Xu (JIRA)" <ji...@apache.org> on 2019/04/12 22:29:00 UTC

[jira] [Created] (SPARK-27454) Spark image datasource fail when encounter some illegal images

Weichen Xu created SPARK-27454:
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             Summary: 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


Spark image datasource fail when encounter some illegal images. Such as exception following:

```

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)

```



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