You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@hive.apache.org by "Jitendra Nath Pandey (JIRA)" <ji...@apache.org> on 2013/03/13 20:58:13 UTC

[jira] [Created] (HIVE-4160) Vectorized Query Execution in Hive

Jitendra Nath Pandey created HIVE-4160:
------------------------------------------

             Summary: Vectorized Query Execution in Hive
                 Key: HIVE-4160
                 URL: https://issues.apache.org/jira/browse/HIVE-4160
             Project: Hive
          Issue Type: New Feature
            Reporter: Jitendra Nath Pandey
            Assignee: Jitendra Nath Pandey


  Hive query execution engine currently processes one row at a time. A single row of data goes through all the operators before next row can be processed. This mode of processing is very inefficient in terms of CPU usage. Research has demonstrated that this yields very low instructions per cycle [MonetDB]. Also currently hive heavily relies on lazy deserialization and data columns go through a layer of object inspectors that identify column type, de-serialize data and determine appropriate expression routines in the inner loop. These layers of virtual method calls further slow down the processing.

Reference: http://www-db.cs.wisc.edu/cidr/cidr2005/papers/P19.pdf



--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators
For more information on JIRA, see: http://www.atlassian.com/software/jira