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https://issues.apache.org/jira/browse/HBASE-25705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17353823#comment-17353823
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Hudson commented on HBASE-25705:
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Results for branch branch-2
        [build #264 on 
builds.a.o|https://ci-hadoop.apache.org/job/HBase/job/HBase%20Nightly/job/branch-2/264/]:
 (/) *{color:green}+1 overall{color}*
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details (if available):

(/) {color:green}+1 general checks{color}
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report|https://ci-hadoop.apache.org/job/HBase/job/HBase%20Nightly/job/branch-2/264/General_20Nightly_20Build_20Report/]




(/) {color:green}+1 jdk8 hadoop2 checks{color}
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report|https://ci-hadoop.apache.org/job/HBase/job/HBase%20Nightly/job/branch-2/264/JDK8_20Nightly_20Build_20Report_20_28Hadoop2_29/]


(/) {color:green}+1 jdk8 hadoop3 checks{color}
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(/) {color:green}+1 jdk11 hadoop3 checks{color}
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(/) {color:green}+1 source release artifact{color}
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(/) {color:green}+1 client integration test{color}


> Convert proto to RSGroupInfo is costly
> --------------------------------------
>
>                 Key: HBASE-25705
>                 URL: https://issues.apache.org/jira/browse/HBASE-25705
>             Project: HBase
>          Issue Type: Improvement
>          Components: rsgroup
>    Affects Versions: 3.0.0-alpha-1, 2.2.3
>            Reporter: mokai
>            Assignee: mokai
>            Priority: Minor
>             Fix For: 3.0.0-alpha-1
>
>
> Convert RSGroupProtos.RSGroupInfo to RSGroupInfo is costly if the RSGroup has 
> too many RSs and tables. 
> We can use parallelStream to handle the HBaseProtos.ServerName list and 
> TableProtos.TableName list in ProtubufUtil#toGroupInfo as blow.
> {quote}Collection<Address> addresses = proto.getServersList()
>  .parallelStream()
>  .map(server -> Address.fromParts(server.getHostName(), server.getPort()))
>  .collect(Collectors.toList());
> Collection<TableName> tables = proto.getTablesList()
>  .parallelStream()
>  .map(tableName -> ProtobufUtil.toTableName(tableName))
>  .collect(Collectors.toList());
> {quote}
> Get the RSGroupInfo which has 9 RS and 20k tables, the time cost reduced from 
> 6038 ms to 684 ms.



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