[jira] [Created] (HIVE-5851) Hive query taking a lot of time just to launch map-reduce jobs

["Sreenath S Kamath (JIRA)" <ji...@apache.org>]

Sreenath S Kamath created HIVE-5851:
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             Summary: Hive query taking a lot of time just to launch map-reduce jobs
                 Key: HIVE-5851
                 URL: https://issues.apache.org/jira/browse/HIVE-5851
             Project: Hive
          Issue Type: Improvement
            Reporter: Sreenath S Kamath


We are using hive for Ad-hoc querying and have a hive table which is partitioned on two fields (date,id).Now for each date there are around 1400 ids so on a single day around that many partitions are added.The actual data is residing in s3. now the issue we are facing is suppose we do a select count(*) for a month from the table then it takes quite a long amount of time(approx : 1hrs 52 min) just to launch the map reduce job. when i ran the query in hive verbose mode i can see that its spending this time actually deciding how many number of mappers to spawn(calculating splits). Is there any means by which i can reduce this lag time for the launch of map-reduce job.  this is one of the log messages that is being logged during this lag time  13/11/19 07:11:06 INFO mapred.FileInputFormat: Total input paths to process : 1 13/11/19 07:11:06 WARN httpclient.RestS3Service: Response '/Analyze%2F2013%2F10%2F03%2F465' - Unexpected response code 404, expected 200



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