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https://issues.apache.org/jira/browse/HADOOP-14660?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16088874#comment-16088874
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Hadoop QA commented on HADOOP-14660:
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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} HADOOP-14660 does not apply to trunk. Rebase required? Wrong 
Branch? See https://wiki.apache.org/hadoop/HowToContribute for help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Issue | HADOOP-14660 |
| JIRA Patch URL | 
https://issues.apache.org/jira/secure/attachment/12877462/HADOOP-14660-006.patch
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| Console output | 
https://builds.apache.org/job/PreCommit-HADOOP-Build/12792/console |
| Powered by | Apache Yetus 0.6.0-SNAPSHOT   http://yetus.apache.org |


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> wasb: improve throughput by 34% when account limit exceeded
> -----------------------------------------------------------
>
>                 Key: HADOOP-14660
>                 URL: https://issues.apache.org/jira/browse/HADOOP-14660
>             Project: Hadoop Common
>          Issue Type: Improvement
>          Components: fs/azure
>            Reporter: Thomas
>            Assignee: Thomas
>         Attachments: HADOOP-14660-001.patch, HADOOP-14660-002.patch, 
> HADOOP-14660-003.patch, HADOOP-14660-004.patch, HADOOP-14660-005.patch, 
> HADOOP-14660-006.patch
>
>
> Big data workloads frequently exceed the Azure Storage max ingress and egress 
> limits 
> (https://docs.microsoft.com/en-us/azure/azure-subscription-service-limits).  
> For example, the max ingress limit for a GRS account in the United States is 
> currently 10 Gbps.  When the limit is exceeded, the Azure Storage service 
> fails a percentage of incoming requests, and this causes the client to 
> initiate the retry policy.  The retry policy delays requests by sleeping, but 
> the sleep duration is independent of the client throughput and account limit. 
>  This results in low throughput, due to the high number of failed requests 
> and thrashing causes by the retry policy.
> To fix this, we introduce a client-side throttle which minimizes failed 
> requests and maximizes throughput.  Tests have shown that this improves 
> throughtput by ~34% when the storage account max ingress and/or egress limits 
> are exceeded. 



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