hi all, 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 Anyone has a quick fix for this ? -- Sreenath S Kamath Bangalore Ph No:+91-9590989106
