ASF GitHub Bot commented on BAHIR-130:

GitHub user romeokienzler opened a pull request:



    In case number of requests per second are limited; just wait for a second 
and try again

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/romeokienzler/bahir master

Alternatively you can review and apply these changes as the patch at:


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with (at least) the following in the commit message:

    This closes #49
commit 478ca23d04915fce812ee5bf98433bcf66a58cfc
Author: Romeo Kienzler <romeo.kienz...@ch.ibm.com>
Date:   2017-08-24T09:24:28Z



> 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-2.2.0
>   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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