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https://issues.apache.org/jira/browse/STREAMS-260?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14263235#comment-14263235
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ASF GitHub Bot commented on STREAMS-260:
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GitHub user robdouglas opened a pull request:
https://github.com/apache/incubator-streams/pull/169
STREAMS-260 | Only calling the back off strategy in the even that we get...
... a rate limit or throttling error/exception from the Facebook Graph API
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/robdouglas/incubator-streams STREAMS-260
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-streams/pull/169.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #169
----
commit 94c7bef228113c5ef3fa9313e13f011b1bceb70e
Author: Robert Douglas <[email protected]>
Date: 2015-01-02T21:06:37Z
STREAMS-260 | Only calling the back off strategy in the even that we get a
rate limit or throttling error/exception from the Facebook Graph API
----
> FacebookPageFeedDataCollector should handle backoff strategy correctly
> ----------------------------------------------------------------------
>
> Key: STREAMS-260
> URL: https://issues.apache.org/jira/browse/STREAMS-260
> Project: Streams
> Issue Type: Bug
> Reporter: Robert Douglas
>
> As a Stream user, I should be able to correctly respond to Facebook rate
> limit exceptions. Currently, any error from the Facebook Graph API results in
> a call to the exponential backoff strategy. This is fine if we are actually
> getting requests throttled/rate limited, but can result in very slow Stream
> completion if the error is related to something else (like a bad Page ID).
> We need to ensure that we only use the backoff strategy when we are being
> rate limited.
> *Acceptance Criteria:*
> - Determine which error codes represent potential rate limiting/throttling
> exceptions
> - Only call the backoff when our requests are being throttled.
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