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https://issues.apache.org/jira/browse/HDDS-3306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Prashant Pogde updated HDDS-3306:
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Target Version/s: 1.2.0
I am managing the 1.1.0 release and we currently have more than 600 issues
targeted for 1.1.0. I am moving the target field to 1.2.0.
If you are actively working on this jira and believe this should be targeted to
1.1.0 release, Please change the target field back to 1.1.0 before Feb 05,
2021.
> Support configurable data consistency level
> -------------------------------------------
>
> Key: HDDS-3306
> URL: https://issues.apache.org/jira/browse/HDDS-3306
> Project: Hadoop Distributed Data Store
> Issue Type: Improvement
> Reporter: Sammi Chen
> Priority: Major
>
> Currently，Ozone provides strong data consistency. On data write, Ozone client
> uses RaftProtos.ReplicationLevel.ALL_COMMITTED which guarantees that the data
> is persisted to all three datanodes disk before ack the write finish. On data
> read, if topology is enabled, client will choose the closest datanode to read
> from. If topology is disabed, then client will always read from leader
> datanode.
> In some cases, user can tolerate weaker data consistency. They want to
> balance data consistency with read/write throughput, just as some of our
> customer required.
> So this issue is to propose a client side configurable consistency level,
> something like Apache cassandra provides, but not that complicated. The
> consistency level will be a write and read combination, for example，
> 1. strong consistency, write: ALL, read:any
> 2. strong consistency-favor write throughput, write: majority, read:leader
> 3. evental consistency, write: majority, read: any
> 4. strong consistency-no data safety guarantee，write:leader, read: leader
> 5. evental consistency-no data safety guarantee，write: leader, read:any
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