[
https://issues.apache.org/jira/browse/SPARK-29871?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean R. Owen resolved SPARK-29871.
----------------------------------
Resolution: Invalid
You're not really providing any info here. We aren't observing the failure in
any test builds either. I'm not sure this is actionable.
> Flaky test: ImageFileFormatTest.test_read_images
> ------------------------------------------------
>
> Key: SPARK-29871
> URL: https://issues.apache.org/jira/browse/SPARK-29871
> Project: Spark
> Issue Type: Test
> Components: ML
> Affects Versions: 3.0.0
> Reporter: wuyi
> Priority: Major
>
> Running tests...
> ----------------------------------------------------------------------
> test_read_images (pyspark.ml.tests.test_image.ImageFileFormatTest) ... ERROR
> (12.050s)
> ======================================================================
> ERROR [12.050s]: test_read_images
> (pyspark.ml.tests.test_image.ImageFileFormatTest)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/ml/tests/test_image.py",
> line 35, in test_read_images
> self.assertEqual(df.count(), 4)
> File
> "/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/sql/dataframe.py",
> line 507, in count
> return int(self._jdf.count())
> File
> "/home/jenkins/workspace/SparkPullRequestBuilder/python/lib/py4j-0.10.8.1-src.zip/py4j/java_gateway.py",
> line 1286, in __call__
> answer, self.gateway_client, self.target_id, self.name)
> File
> "/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/sql/utils.py",
> line 98, in deco
> return f(*a, **kw)
> File
> "/home/jenkins/workspace/SparkPullRequestBuilder/python/lib/py4j-0.10.8.1-src.zip/py4j/protocol.py",
> line 328, in get_return_value
> format(target_id, ".", name), value)
> py4j.protocol.Py4JJavaError: An error occurred while calling o32.count.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 1
> in stage 0.0 failed 1 times, most recent failure: Lost task 1.0 in stage 0.0
> (TID 1, amp-jenkins-worker-05.amp, executor driver):
> javax.imageio.IIOException: Unsupported Image Type
> at
> com.sun.imageio.plugins.jpeg.JPEGImageReader.readInternal(JPEGImageReader.java:1079)
> 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$.decode(ImageSchema.scala:134)
> at
> org.apache.spark.ml.source.image.ImageFileFormat.$anonfun$buildReader$2(ImageFileFormat.scala:84)
> 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:132)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(generated.java:33)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:63)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:726)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:132)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
> at org.apache.spark.scheduler.Task.run(Task.scala:127)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:462)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:465)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:1979)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1967)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1966)
> at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
> at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1966)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:946)
> at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:946)
> at scala.Option.foreach(Option.scala:407)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:946)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2196)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2145)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2134)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:748)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2104)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2125)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2144)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2169)
> at org.apache.spark.rdd.RDD.$anonfun$collect$1(RDD.scala:1004)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:388)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:1003)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:381)
> at org.apache.spark.sql.Dataset.$anonfun$count$1(Dataset.scala:2789)
> at org.apache.spark.sql.Dataset.$anonfun$count$1$adapted(Dataset.scala:2788)
> at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3407)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$4(SQLExecution.scala:100)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:87)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3403)
> at org.apache.spark.sql.Dataset.count(Dataset.scala:2788)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:282)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:238)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: javax.imageio.IIOException: Unsupported Image Type
> at
> com.sun.imageio.plugins.jpeg.JPEGImageReader.readInternal(JPEGImageReader.java:1079)
> 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:134)
> at
> org.apache.spark.ml.source.image.ImageFileFormat.$anonfun$buildReader$2(ImageFileFormat.scala:84)
> at
> org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(FileFormat.scala:147)
> at
> org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(FileFormat.scala:132)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:169)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithoutKey_0$(generated.java:33)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(generated.java:63)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:726)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:132)
> at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
> at org.apache.spark.scheduler.Task.run(Task.scala:127)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:462)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:465)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> ... 1 more
> ----------------------------------------------------------------------
> Ran 1 test in 20.144s
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
