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https://issues.apache.org/jira/browse/BAHIR-130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16206131#comment-16206131
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Richard Ellis commented on BAHIR-130:
-------------------------------------
I think the easiest way to get the functionality is to use java-cloudant to
make the HTTP requests. It has a built-in interceptor that can be configured to
replay the 429 requests at an exponentially increasing delay. We should
refactor to use java-cloudant anyway since we would also benefit from other
useful things like using cookie authentication. [~romeokienzler] perhaps it
just makes sense for you to continue using your workaround until we can do that
refactor then we'll just get the response handling behaviour for free.
> Support Cloudant Lite Plan
> --------------------------
>
> Key: BAHIR-130
> URL: https://issues.apache.org/jira/browse/BAHIR-130
> Project: Bahir
> Issue Type: Improvement
> Components: Spark SQL Data Sources
> Affects Versions: Spark-2.0.0, Spark-2.0.1, Spark-2.0.2, Spark-2.1.0,
> Spark-2.1.1, Spark-2.2.0
> Environment: ApacheSpark, any
> Reporter: Romeo Kienzer
> Assignee: Romeo Kienzer
> Priority: Minor
> Fix For: Spark-2.1.1, Spark-2.2.1
>
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> Cloudant has a plan called "Lite" supporting only five requests per second.
> So you end up with the following exception:
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in
> stage 0.0 failed 10 times, most recent failure: Lost task 4.9 in stage 0.0
> (TID 42, yp-spark-dal09-env5-0040): java.lang.RuntimeException: Database
> harlemshake2 request error: {"error":"too_many_requests","reason":"You've
> exceeded your current limit of 5 requests per second for query class. Please
> try later.","class":"query","rate":5}
> at
> org.apache.bahir.cloudant.common.JsonStoreDataAccess.getQueryResult(JsonStoreDataAccess.scala:158)
> at
> org.apache.bahir.cloudant.common.JsonStoreDataAccess.getIterator(JsonStoreDataAccess.scala:72)
> Suggestion: Change JsonStoreDataAccess.scala in a way that when a 403 HTTP
> status code is returned the response is parsed in order to obtain the rate
> limit and then throttle the query down to that limit. In addition issue a
> WARNING in the log
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