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

["Xuefu Zhang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HIVE-5851?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13829260#comment-13829260 ] 

Xuefu Zhang commented on HIVE-5851:
-----------------------------------

What's the serde for the case?

> 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: Bug
>            Reporter: Sreenath S Kamath
>            Priority: Critical
>
> 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



--
This message was sent by Atlassian JIRA
(v6.1#6144)