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https://issues.apache.org/jira/browse/HBASE-15493?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16069893#comment-16069893
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Hadoop QA commented on HBASE-15493:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
0s{color} | {color:blue} Docker mode activated. {color} |
| {color:red}-1{color} | {color:red} patch {color} | {color:red} 0m 4s{color}
| {color:red} HBASE-15493 does not apply to master. Rebase required? Wrong
Branch? See https://yetus.apache.org/documentation/0.4.0/precommit-patchnames
for help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Issue | HBASE-15493 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12794699/HBASE-15493-v2.patch |
| Console output |
https://builds.apache.org/job/PreCommit-HBASE-Build/7422/console |
| Powered by | Apache Yetus 0.4.0 http://yetus.apache.org |
This message was automatically generated.
> Default ArrayList size may not be optimal for Mutation
> ------------------------------------------------------
>
> Key: HBASE-15493
> URL: https://issues.apache.org/jira/browse/HBASE-15493
> Project: HBase
> Issue Type: Improvement
> Components: Client, regionserver
> Affects Versions: 2.0.0
> Reporter: Vladimir Rodionov
> Assignee: Vladimir Rodionov
> Attachments: HBASE-15493-v1.patch, HBASE-15493-v2.patch
>
>
> {code}
> List<Cell> getCellList(byte[] family) {
> List<Cell> list = this.familyMap.get(family);
> if (list == null) {
> list = new ArrayList<Cell>();
> }
> return list;
> }
> {code}
> Creates list of size 10, this is up to 80 bytes per column family in mutation
> object.
> Suggested:
> {code}
> List<Cell> getCellList(byte[] family) {
> List<Cell> list = this.familyMap.get(family);
> if (list == null) {
> list = new ArrayList<Cell>(CELL_LIST_INITIAL_CAPACITY);
> }
> return list;
> }
> {code}
> CELL_LIST_INITIAL_CAPACITY = 2 in the patch, this is debatable. For mutation
> where every CF has 1 cell, this gives decent reduction in memory allocation
> rate in both client and server during write workload. ~2%, not a big number,
> but as I said, already, memory optimization will include many small steps.
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