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https://issues.apache.org/jira/browse/HADOOP-14660?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Marquardt updated HADOOP-14660:
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Attachment: (was: HADOOP-14660-branch-2.patch)
> 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: Sub-task
> 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,
> HADOOP-14660-010.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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