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Wenchen Fan commented on SPARK-19885: ------------------------------------- Oh, so this issue is already fixed by SPARK-18362 in Spark 2.2 Since it's not a critical issue and SPARK-18362 is an optimization, we should not backport it. Let's just resolve this ticket. > The config ignoreCorruptFiles doesn't work for CSV > -------------------------------------------------- > > Key: SPARK-19885 > URL: https://issues.apache.org/jira/browse/SPARK-19885 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.1.0 > Reporter: Shixiong Zhu > Fix For: 2.2.0 > > > CSVFileFormat.inferSchema doesn't use FileScanRDD so the SQL > "ignoreCorruptFiles" doesn't work. > {code} > java.io.EOFException: Unexpected end of input stream > at > org.apache.hadoop.io.compress.DecompressorStream.decompress(DecompressorStream.java:145) > at > org.apache.hadoop.io.compress.DecompressorStream.read(DecompressorStream.java:85) > at java.io.InputStream.read(InputStream.java:101) > at org.apache.hadoop.util.LineReader.fillBuffer(LineReader.java:180) > at > org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:216) > at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174) > at > org.apache.hadoop.mapred.LineRecordReader.next(LineRecordReader.java:248) > at > org.apache.hadoop.mapred.LineRecordReader.next(LineRecordReader.java:48) > at org.apache.spark.rdd.HadoopRDD$$anon$1.getNext(HadoopRDD.scala:266) > at org.apache.spark.rdd.HadoopRDD$$anon$1.getNext(HadoopRDD.scala:211) > at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73) > at > org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:461) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at scala.collection.Iterator$class.foreach(Iterator.scala:893) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) > at > scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157) > at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1336) > at > scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:214) > at scala.collection.AbstractIterator.aggregate(Iterator.scala:1336) > at > org.apache.spark.rdd.RDD$$anonfun$aggregate$1$$anonfun$22.apply(RDD.scala:1112) > at > org.apache.spark.rdd.RDD$$anonfun$aggregate$1$$anonfun$22.apply(RDD.scala:1112) > at > org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1980) > at > org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1980) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) > at org.apache.spark.scheduler.Task.run(Task.scala:99) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1981) > at org.apache.spark.rdd.RDD$$anonfun$aggregate$1.apply(RDD.scala:1114) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) > at org.apache.spark.rdd.RDD.aggregate(RDD.scala:1107) > at > org.apache.spark.sql.execution.datasources.csv.CSVInferSchema$.infer(CSVInferSchema.scala:47) > at > org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:67) > at > org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:174) > at > org.apache.spark.sql.execution.datasources.DataSource$$anonfun$7.apply(DataSource.scala:174) > at scala.Option.orElse(Option.scala:289) > at > org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:173) > at > org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:377) > at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152) > at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:135) > {code} > Right now a workaround is also setting "spark.files.ignoreCorruptFiles" to > true. -- This message was sent by Atlassian JIRA (v6.3.15#6346) 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