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https://issues.apache.org/jira/browse/PHOENIX-4757?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16693951#comment-16693951
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Thomas D'Silva commented on PHOENIX-4757:
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In our environment we generally see write hot spotting when the rowkeys are
sequentially increasing (the last column of the PK is strictly increasing while
the leading columns are constant) in which case they always hit a single region
server. Its not clear to me if id_1 is constant and id_2 is random if you would
get write hotspotting, did you see this on a cluster and then decide to use
salted tables?
> composite key salt_buckets
> --------------------------
>
> Key: PHOENIX-4757
> URL: https://issues.apache.org/jira/browse/PHOENIX-4757
> Project: Phoenix
> Issue Type: Improvement
> Affects Versions: 4.11.0
> Reporter: cmd
> Priority: Major
> Fix For: 4.11.0
>
>
> CREATE TABLE IF NOT EXISTS user_events (
> user_id VARCHAR NOT NULL,
> event_type VARCHAR NOT NULL,
> event_time VARCHAR NOT NULL
> event_msg VARCHAR NOT NULL
> event_status VARCHAR NOT NULL
> event_opt VARCHAR NOT NULL
> CONSTRAINT my_pk PRIMARY KEY (user_id,event_type,event_time))
> SALT_BUCKETS=128;
> and my query is:
> 1.select event_type,count(0) from us_population where user_id='xxxx' group
> by event_type
> 2.select count(0) from us_population where user_id='xxxx' and
> event_type='0101'
> 3.select * from us_population where user_id='xxxx' and event_type='0101' and
> event_time>'20180101' and event_time<'20180201' order by event_time limit
> 50,100
> Concurrency query ratio:
> 1:80%
> 2:10%
> 3:10%
> user_events data :50billion
> It can be a field/some fileds of the primary key salted by hash
> grammar with "SALT_BUCKETS(user_id)=4" or
> "SALT_BUCKETS(user_id,event_type)=4"
> ref:
>
> [https://www.safaribooksonline.com/library/view/greenplum-architecture/9781940540337/xhtml/chapter03.xhtml]
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