Hi Douglas,
The version of hive is 0.14.0 as shown below: hive --version Hive 0.14.0 Subversion file:///Users/ghagleitner/Projects/hive-svn/rel-prep/hive-14-rel-prep -r Unknown Compiled by ghagleitner on Sat Nov 8 23:25:06 PST 2014 >From source with checksum 49c2182a0856f7917f571802a7594b00 I will have a look at that link in depth thanks Mich NOTE: The information in this email is proprietary and confidential. This message is for the designated recipient only, if you are not the intended recipient, you should destroy it immediately. Any information in this message shall not be understood as given or endorsed by Peridale Ltd, its subsidiaries or their employees, unless expressly so stated. It is the responsibility of the recipient to ensure that this email is virus free, therefore neither Peridale Ltd, its subsidiaries nor their employees accept any responsibility. From: Moore, Douglas [mailto:douglas.mo...@thinkbiganalytics.com] Sent: 16 March 2015 14:20 To: user@hive.apache.org; 'cobby cohen' Subject: Re: view over partitioned table Mich, What version of Hive are you running? Have you seen this? https://cwiki.apache.org/confluence/display/Hive/PartitionedViews - Douglas From: Mich Talebzadeh <m...@peridale.co.uk> Reply-To: <user@hive.apache.org> Date: Sun, 15 Mar 2015 19:01:57 +0000 To: <user@hive.apache.org>, 'cobby cohen' <ququr...@yahoo.com> Subject: RE: view over partitioned table OK, This is the way I read it. Crearte table t1 .. partitioned by date will use horizontal partitioning as per common with any RDBMS say Oracle. The view I will create it as follows: hive> create view v1 as select * from t1; OK Time taken: 0.073 seconds hive> analyze table t1 partition (date) compute statistics; Query ID = hduser_20150315184646_af3890b2-4079-4f81-b38b-da9af67b2751 Total jobs = 1 Launching Job 1 out of 1 ----- Stage-Stage-0: Map: 1 Cumulative CPU: 0.6 sec HDFS Read: 299 HDFS Write: 0 SUCCESS Total MapReduce CPU Time Spent: 600 msec OK hive> insert into table t1 partition (date) values (1,'2015-04-04'); hive> insert into table t1 partition (date) values (1,'2015-05-04'); Help to update stats hive> analyze table t1 partition (date) compute statistics; select from the view after exiting hive and back hive> explain select id from v1 where date = '2015-04-04'; OK STAGE DEPENDENCIES: Stage-0 is a root stage STAGE PLANS: Stage: Stage-0 Fetch Operator limit: -1 Processor Tree: TableScan alias: t1 Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: id (type: string) outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE Column stats: NONE ListSink Time taken: 0.627 seconds, Fetched: 17 row(s) Now select the same from base table hive> explain select id from t1 where date = '2015-04-04'; OK STAGE DEPENDENCIES: Stage-0 is a root stage STAGE PLANS: Stage: Stage-0 Fetch Operator limit: -1 Processor Tree: TableScan alias: t1 Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: id (type: string) outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE Column stats: NONE ListSink Time taken: 0.597 seconds, Fetched: 17 row(s) The plan looks the same but it is slower on the view HTH Mich NOTE: The information in this email is proprietary and confidential. This message is for the designated recipient only, if you are not the intended recipient, you should destroy it immediately. Any information in this message shall not be understood as given or endorsed by Peridale Ltd, its subsidiaries or their employees, unless expressly so stated. It is the responsibility of the recipient to ensure that this email is virus free, therefore neither Peridale Ltd, its subsidiaries nor their employees accept any responsibility. From: cobby cohen [mailto:ququr...@yahoo.com] Sent: 15 March 2015 17:52 To: user@hive.apache.org Subject: view over partitioned table in the following case: create table T1(id string) partitioned by (date date); create view V1(id, date) select id, date from T1 if i do the following select id from V1 where date = '2015-04-04' will the query optimize on T1's partitioning? and what if V1 is a bit more complex, further depending on other views (all of which expose the partitioned column as-is)? thx!
