You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@kylin.apache.org by li...@apache.org on 2015/04/03 15:03:54 UTC

[39/50] incubator-kylin git commit: Update sample sql

Update sample sql

Project: http://git-wip-us.apache.org/repos/asf/incubator-kylin/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-kylin/commit/f8e6eaf7
Tree: http://git-wip-us.apache.org/repos/asf/incubator-kylin/tree/f8e6eaf7
Diff: http://git-wip-us.apache.org/repos/asf/incubator-kylin/diff/f8e6eaf7

Branch: refs/heads/streaming-localdict
Commit: f8e6eaf7a84a765f8e41e8b7dfbbf4319cde4c8f
Parents: b116373
Author: Shao Feng, Shi <sh...@ebay.com>
Authored: Fri Apr 3 17:36:24 2015 +0800
Committer: Shao Feng, Shi <sh...@ebay.com>
Committed: Fri Apr 3 17:36:24 2015 +0800

----------------------------------------------------------------------
 docs/Tutorial/Quick play with a sample cube.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-kylin/blob/f8e6eaf7/docs/Tutorial/Quick play with a sample cube.md
----------------------------------------------------------------------
diff --git a/docs/Tutorial/Quick play with a sample cube.md b/docs/Tutorial/Quick play with a sample cube.md
index ffcee88..8246aa6 100644
--- a/docs/Tutorial/Quick play with a sample cube.md	
+++ b/docs/Tutorial/Quick play with a sample cube.md	
@@ -7,7 +7,7 @@ Kylin provides a script for you to create a sample Cube; the script will also cr
 3. Select the sample cube "kylin_sales_cube", click "Actions" -> "Build", pick up a date later than 2014-01-01 (to cover all 10000 sample records);
 4. Check the build progress in "Jobs" tab, until 100%;
 5. Execute SQLs in the "Query" tab, for example:
-	select cal_dt, sum(price) as total_selled, count(distinct seller_id) as sellers from kylin_sales group by cal_dt order by cal_dt
+	select part_dt, sum(price) as total_selled, count(distinct seller_id) as sellers from kylin_sales group by part_dt order by part_dt
 6. You can verify the query result and compare the response time with hive;