Hi Experts I was working on hive with larger volume data with hive 0.7 . Recently my hive installation was upgraded to 0.7.1 . After the upgrade I'm having a lot of issues with queries that were already working fine with larger data. The queries that took seconds to return results is now taking hours, for most larger tables even the map reduce jobs are not getting triggered. Queries like Select * and describe are working fine since they don't involve any map reduce jobs. For the jobs that didn't even get triggered I got the following error from job tracker
Job initialization failed: java.io.IOException: Split metadata size exceeded 10000000. Aborting job job_201106061630_6993 at org.apache.hadoop.mapreduce.split.SplitMetaInfoReader.readSplitMetaInfo(SplitMetaInfoReader.java:48) at org.apache.hadoop.mapred.JobInProgress.createSplits(JobInProgress.java:807) at org.apache.hadoop.mapred.JobInProgress.initTasks(JobInProgress.java:701) at org.apache.hadoop.mapred.JobTracker.initJob(JobTracker.java:4013) at org.apache.hadoop.mapred.EagerTaskInitializationListener$InitJob.run(EagerTaskInitializationListener.java:79) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908) at java.lang.Thread.run(Thread.java:619) Looks like some metadata issue. My cluster is on CDH3-u0 . Has anyone faced similar issues before. Please share your thoughts what could be the probable cause of the error. Thank You
