[
https://issues.apache.org/jira/browse/KYLIN-1048?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Shaofeng SHI updated KYLIN-1048:
--------------------------------
Sprint: Sprint 49
Fix Version/s: v1.1
v2.0
> CPU and memory killer in Cuboid.findById()
> ------------------------------------------
>
> Key: KYLIN-1048
> URL: https://issues.apache.org/jira/browse/KYLIN-1048
> Project: Kylin
> Issue Type: Improvement
> Components: Metadata
> Affects Versions: v1.0, v0.7.2, v0.7.1
> Reporter: Shaofeng SHI
> Assignee: Shaofeng SHI
> Fix For: v2.0, v1.1
>
>
> In an cube which has 37 dimensions with a couple of aggregation groups (and
> each group has hierarchy), when a SQL which has columns cross aggregation
> groups, it couldn't be returned in time, the CPU will very high and memory
> usage increases also, finally cause Kylin server crashed with OutOfMemory
> error.
> After doing some analysis and profiling, identified that when the cube is a
> sparse partial cube, the performance in Cuboid.findById() is bad, which will
> take much CPU and memory.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)