[jira] [Commented] (HDDS-3630) Merge rocksdb into one in datanode

2020-05-22 Thread runzhiwang (Jira)


[ 
https://issues.apache.org/jira/browse/HDDS-3630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17113815#comment-17113815
 ] 

runzhiwang commented on HDDS-3630:
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[~msingh] Thanks for reminding, I will create a google doc to share the design.

> Merge rocksdb into one in datanode
> --
>
> Key: HDDS-3630
> URL: https://issues.apache.org/jira/browse/HDDS-3630
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: runzhiwang
>Assignee: runzhiwang
>Priority: Major
>
> Currently, one rocksdb for one container. one container has 5GB capacity. 
> 10TB data need more than 2000 rocksdb in one datanode.  It's difficult to 
> limit the memory of 2000 rocksdb. So maybe we should only use one rocksdb for 
> all containers.



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[jira] [Commented] (HDDS-3630) Merge rocksdb into one in datanode

2020-05-20 Thread Mukul Kumar Singh (Jira)


[ 
https://issues.apache.org/jira/browse/HDDS-3630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17112244#comment-17112244
 ] 

Mukul Kumar Singh commented on HDDS-3630:
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+1, this will be good optimization. However, we need to consider the 
replication code here.

> Merge rocksdb into one in datanode
> --
>
> Key: HDDS-3630
> URL: https://issues.apache.org/jira/browse/HDDS-3630
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: runzhiwang
>Assignee: runzhiwang
>Priority: Major
>
> Currently, one rocksdb for one container. one container has 5GB capacity. 
> 10TB data need more than 2000 rocksdb in one datanode.  It's difficult to 
> limit the memory of 2000 rocksdb. So maybe we should only use one rocksdb for 
> all containers.



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