liyuntian created BEAM-2308: ------------------------------- Summary: run beam on spark runner successfully with small data,but fail with a big data Key: BEAM-2308 URL: https://issues.apache.org/jira/browse/BEAM-2308 Project: Beam Issue Type: Bug Components: runner-spark, sdk-java-core Environment: spark jar 1.6.2 Reporter: liyuntian Assignee: Amit Sela
run beam on spark runner successfully with small data,but fail with a big data about 1G.my spark configuration:--num-executors 3 --executor-memory 4G --executor-cores 5. this is my code: Read.Bounded<KV<LongWritable, Text>> source = Read.from(HDFSFileSource.from(inputPath, TextInputFormat.class, LongWritable.class, Text.class).withConfiguration(config)); PCollection<KV<LongWritable, Text>> recordsFromHdfs = pipeline.apply(source); PCollection<List<String>> recordsList = recordsFromHdfs.apply(ParDo.of(new InputHdfsFileFn(delimit, firstTableColumnsSize))); //convert to flow String nextOutputTable; Map<String, ComponentPara> map = beamTable.row(firstTableName); ComponentPara component = (ComponentPara) map.values().toArray()[0]; PCollection<List<String>> nextPCollection = ComponentConvert.convert(component,recordsList); //write result to hdfs PCollection<String> recordsToHdfs = nextPCollection.apply(ParDo.of(new OutputHdfsFileFn(delimit))); HiveTable.deleteBeamFileOnHdfs(outputPath); logger.info("输出文件位置:"+outputPath); recordsToHdfs.apply(Write.to(HDFSFileSink.<String>toText(outputPath).withConfiguration(config))); pipeline.run().waitUntilFinish(); this is error: 17/05/16 21:31:57 WARN scheduler.TaskSetManager: Lost task 3.0 in stage 1.0 (TID 13, etl-dev-02): java.util.NoSuchElementException at org.apache.beam.sdk.io.hdfs.HDFSFileSource$HDFSFileReader.getCurrent(HDFSFileSource.java:510) at org.apache.beam.runners.spark.io.SourceRDD$Bounded$1.next(SourceRDD.java:142) at org.apache.beam.runners.spark.io.SourceRDD$Bounded$1.next(SourceRDD.java:111) at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:42) at org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:43) at scala.collection.Iterator$$anon$12.next(Iterator.scala:357) at org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:43) at scala.collection.convert.Wrappers$IteratorWrapper.next(Wrappers.scala:30) at org.apache.beam.runners.spark.translation.SparkProcessContext$ProcCtxtIterator.computeNext(SparkProcessContext.java:165) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) at org.apache.beam.runners.spark.translation.SparkProcessContext$ProcCtxtIterator.computeNext(SparkProcessContext.java:162) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) at org.apache.beam.runners.spark.translation.SparkProcessContext$ProcCtxtIterator.computeNext(SparkProcessContext.java:162) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) at org.apache.beam.runners.spark.translation.SparkProcessContext$ProcCtxtIterator.computeNext(SparkProcessContext.java:162) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) at org.apache.beam.runners.spark.translation.SparkProcessContext$ProcCtxtIterator.computeNext(SparkProcessContext.java:162) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) at org.apache.beam.runners.spark.translation.SparkProcessContext$ProcCtxtIterator.computeNext(SparkProcessContext.java:162) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) at org.apache.beam.runners.spark.translation.SparkProcessContext$ProcCtxtIterator.computeNext(SparkProcessContext.java:162) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) at org.apache.beam.runners.spark.translation.SparkProcessContext$ProcCtxtIterator.computeNext(SparkProcessContext.java:162) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) at org.apache.beam.runners.spark.translation.SparkProcessContext$ProcCtxtIterator.computeNext(SparkProcessContext.java:162) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) at org.apache.beam.spark.repackaged.com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:41) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) at scala.collection.AbstractIterator.to(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:927) at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:927) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) 17/05/16 21:31:57 INFO scheduler.TaskSetManager: Starting task 3.1 in stage 1.0 (TID 20, etl-dev-02, partition 3,PROCESS_LOCAL, 42372 bytes) -- This message was sent by Atlassian JIRA (v6.3.15#6346)