Pradeep Misra created SPARK-18965:
-------------------------------------
Summary: wholeTextFiles() is not able to read large files
Key: SPARK-18965
URL: https://issues.apache.org/jira/browse/SPARK-18965
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 1.6.2
Environment: All Platforms
Reporter: Pradeep Misra
While working on wholeTextFiles() of size 134738099 (gz compressed) spark
throws an OOM error.
ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.OutOfMemoryError
at
java.io.ByteArrayOutputStream.hugeCapacity(ByteArrayOutputStream.java:123)
at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:117)
at
java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:153)
at org.spark-project.guava.io.ByteStreams.copy(ByteStreams.java:211)
at
org.spark-project.guava.io.ByteStreams.toByteArray(ByteStreams.java:252)
at
org.apache.spark.input.WholeTextFileRecordReader.nextKeyValue(WholeTextFileRecordReader.scala:81)
at
org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReader.nextKeyValue(CombineFileRecordReader.java:65)
at
org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:168)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1631)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1164)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1164)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1882)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1882)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
16/11/30 14:25:36 ERROR SparkUncaughtExceptionHandler: Uncaught exception in
thread Thread[Executor task launch worker-0,5,main]
java.lang.OutOfMemoryError
at
java.io.ByteArrayOutputStream.hugeCapacity(ByteArrayOutputStream.java:123)
at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:117)
at
java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:153)
at org.spark-project.guava.io.ByteStreams.copy(ByteStreams.java:211)
at
org.spark-project.guava.io.ByteStreams.toByteArray(ByteStreams.java:252)
at
org.apache.spark.input.WholeTextFileRecordReader.nextKeyValue(WholeTextFileRecordReader.scala:81)
at
org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReader.nextKeyValue(CombineFileRecordReader.java:65)
at
org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:168)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1631)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1164)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1164)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1882)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1882)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
16/11/30 14:25:36 INFO SparkContext: Invoking stop() from shutdown hook
16/11/30 14:25:36 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0,
localhost): java.lang.OutOfMemoryError
at
java.io.ByteArrayOutputStream.hugeCapacity(ByteArrayOutputStream.java:123)
at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:117)
at
java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:153)
at org.spark-project.guava.io.ByteStreams.copy(ByteStreams.java:211)
at
org.spark-project.guava.io.ByteStreams.toByteArray(ByteStreams.java:252)
at
org.apache.spark.input.WholeTextFileRecordReader.nextKeyValue(WholeTextFileRecordReader.scala:81)
at
org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReader.nextKeyValue(CombineFileRecordReader.java:65)
at
org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:168)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1631)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1164)
at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1164)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1882)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1882)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
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