liyang created KYLIN-1713:
-
Summary: Refactor kylin.sh, launch independently (not via hbase
shell)
Key: KYLIN-1713
URL: https://issues.apache.org/jira/browse/KYLIN-1713
Project: Kylin
Issue Type:
Bhanuprakash created KYLIN-1712:
---
Summary: Measures are not getting Calculated after the cube built
successfully.
Key: KYLIN-1712
URL: https://issues.apache.org/jira/browse/KYLIN-1712
Project: Kylin
Hi,
Thanks for the inputs. View is a good idea...
Best,
Sarnath
kylin will not trigger build automatically, you can schedule the build
yourself with REST API.
Refresh Setting only define the partition column info, you still need to
build yourself.
http://kylin.apache.org/docs15/howto/howto_use_restapi.html
and client tool also provided
hi all
When I query the cube, most of the sql can return results. However the
more dimension included in the sql, the more times it takes to return the
results. And when I add almost all the dimension in the sql , it returns
Timeout visiting cube.
2016-05-20 10:12:41,492 ERROR
Chris created KYLIN-1711:
Summary: Mainframe import module extension to support sequential
data sets
Key: KYLIN-1711
URL: https://issues.apache.org/jira/browse/KYLIN-1711
Project: Kylin
Issue Type:
Hi,
Try set kylin.hbase.hfile.size.gb in kylin.properties to smaller size, the job
will have more reducers and will be faster then.
George/倪春恩
Mobile:+86-13501723787| WeChat:nceecn
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HI all:
When I build the cube, in the Convert Cuboid Data to HFile step, the mr job
Kylin_HFile_Generator_http_service_cube_Step submitted 3260 map with 3 reduce.
The map job completed in three minutes and the reduce job have been runing for
3 hours.
How can I increase the reduce
liyang created KYLIN-1710:
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Summary: Benchmark long[] vs. ByteArray[] as dimension holders in
GTRecord
Key: KYLIN-1710
URL: https://issues.apache.org/jira/browse/KYLIN-1710
Project: Kylin
Issue
My best guess is out-of-memory crash. Returning 30K HLL counter may take
200MB~2GB memory depending on the count distinct precision. Suggest
increase Kylin JVM heap and try again.
On Tue, May 17, 2016 at 10:16 AM, jyzheng wrote:
> 1. The cardinality of app_name is about
we have opened a JIRA. And the reponse is as follows:
millis format as partition column will not be support in short run. The reason
is that millis format tends to come with large cardinality, which is not
acceptable by kylin. As a workaround you may use hive view to map the millis
format to
Thanks, the example helps a lot.
Kylin itself does not provide special feature about the many2many
relationships as described in the article. Actually the classic workarounds
mentioned in the article are good ones and work for Kylin too. In addition,
you may make a view of user-join-sport, and
hi all:
Now I am building two cube,
one is in the Build Cube step and resource occupancy is 2G in MR, the
fact table have 119.8G data, 0.8 billion reconds.
the other is in the Extract Fact Table Distinct step and resource
occupancy is 38G in MR, the fact table have
1.3
2016-05-15 20:43 GMT+08:00 Li Yang :
> What's the kylin version?
>
> On Fri, May 13, 2016 at 4:30 PM, 陈佛林 wrote:
>
> > java.lang.NegativeArraySizeException
> > at
> >
>
Anonymous created KYLIN-1709:
Summary: Shiro - onSuccessfulLogin shiro adds two entries in the
response header for remember me cookie.
Key: KYLIN-1709
URL: https://issues.apache.org/jira/browse/KYLIN-1709
Hi,
Does kylin use Raw comparators while building cubes? This can speed up cube
building at least 2 to 2.5x times.
Best,
Sarnath
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