You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@hawq.apache.org by "Shubham Sharma (JIRA)" <ji...@apache.org> on 2017/09/15 00:25:00 UTC
[jira] [Created] (HAWQ-1527) Implement partition pushdown for
integral data types when accessing hive through pxf
Shubham Sharma created HAWQ-1527:
------------------------------------
Summary: Implement partition pushdown for integral data types when accessing hive through pxf
Key: HAWQ-1527
URL: https://issues.apache.org/jira/browse/HAWQ-1527
Project: Apache HAWQ
Issue Type: Improvement
Components: PXF
Reporter: Shubham Sharma
Assignee: Ed Espino
Hive, when accessed through hcatalog, currently supports partition filtering using columns whose datatype is either string or one of the integral data types (which are TINYINT, SMALLINT, INT, BIGINT). However pxf currently ignores non string partition columns([code reference | https://github.com/apache/incubator-hawq/blob/master/pxf/pxf-hive/src/main/java/org/apache/hawq/pxf/plugins/hive/HiveDataFragmenter.java#L427-#L431])
Hive supports only two operations while filtering partition using integral columns. these operations are "=" and "!=" . [Code reference|https://github.com/apache/hive/blob/branch-1.2/metastore/src/java/org/apache/hadoop/hive/metastore/parser/ExpressionTree.java#L433-#L457] for hive ExpressionTree. Hive introduced a parameter hive.metastore.integral.jdo.pushdown which must be set to true in hive-site.xml to enable filtering on integral datatypes.
Logging this JIRA to implement this feature and enable partition filtering using Integral data types from pxf.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)