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https://issues.apache.org/jira/browse/HADOOP-14660?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16109094#comment-16109094
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Steve Loughran commented on HADOOP-14660:
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wow. I think you went beyond the call of duty on those checkstyles.I was only
expecting you to worry about the new errors introduced. I'll have to split the
changes you did across {{ContractTestUtils}} into its own JIRA to isolate them.
> 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 Marquardt
> Assignee: Thomas Marquardt
> 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, HADOOP-14660-007.patch, HADOOP-14660-008.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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