Description
CSVFileFormat.inferSchema doesn't use FileScanRDD so the SQL "ignoreCorruptFiles" doesn't work.
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)
Right now a workaround is also setting "spark.files.ignoreCorruptFiles" to true.
Attachments
Issue Links
- is related to
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SPARK-19082 The config ignoreCorruptFiles doesn't work for Parquet
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- Resolved
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