We are trying to run a batch job in spark2 which takes a huge list as input and iterates on the list to perform the processing. The program executes fine for around 8000 records of the list and then breaks giving exception (given below). Input has a list of 3 lakh records. Tried setting "spark.shuffle.consolidateFiles" to "true" in SparkConf. But that didn't work. Please help me fix the issue. Exception: WARN Lost task 0.0 in stage 421079.0 (TID 996338, acusnldlenhww4.cloudapp.net, executor 1): java.io.FileNotFoundException: /data/1/hadoop/yarn/local/usercache/A2159537-MSP01/appcache/application_1497532405817_0072/blockmgr-73dc563c-8ea5-4f2d-adfe-6c60cf3e3968/0d/shuffle_145960_0_0.index.cfb6d5ea-8c7b-41a1-acc3-2c840e7f8998 (Too many open files) at java.io.FileOutputStream.open0(Native Method) at java.io.FileOutputStream.open(FileOutputStream.java:270) at java.io.FileOutputStream.<init>(FileOutputStream.java:213) at java.io.FileOutputStream.<init>(FileOutputStream.java:162) at org.apache.spark.shuffle.IndexShuffleBlockResolver.writeIndexFileAndCommit(IndexShuffleBlockResolver.scala:144) at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:128) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) 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) (org.apache.spark.scheduler.TaskSetManager) ... View more