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From "Weiwei Yang (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (HDFS-12506) Ozone: ListBucket is too slow
Date Thu, 21 Sep 2017 02:18:01 GMT

     [ https://issues.apache.org/jira/browse/HDFS-12506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Weiwei Yang reassigned HDFS-12506:

    Assignee: Weiwei Yang

> Ozone: ListBucket is too slow
> -----------------------------
>                 Key: HDFS-12506
>                 URL: https://issues.apache.org/jira/browse/HDFS-12506
>             Project: Hadoop HDFS
>          Issue Type: Sub-task
>          Components: ozone
>            Reporter: Weiwei Yang
>            Assignee: Weiwei Yang
>            Priority: Blocker
>              Labels: ozoneMerge, performance
> Generated 3 million keys in ozone, and run {{listBucket}} command to get a list of buckets
under a volume,
> {code}
> bin/hdfs oz -listBucket http://15oz1.fyre.ibm.com:9864/vol-0-15143 -user wwei
> {code}
> this call spent over *15 seconds* to finish. The problem was caused by the inflexible
structure of KSM DB. Right now {{ksm.db}} stores keys like following
> {code}
> /v1/b1
> /v1/b1/k1
> /v1/b1/k2
> /v1/b1/k3
> /v1/b2
> /v1/b2/k1
> /v1/b2/k2
> /v1/b2/k3
> /v1/b3
> /v1/b4
> {code}
> keys are sorted in nature order so when we do list buckets under a volume e.g /v1, we
need to seek to /v1 point and start to iterate and filter keys, this ends up with scanning
all keys under volume /v1. The problem with this design is we don't have an efficient approach
to locate all buckets without scanning the keys.

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