Romeo Kienzer created BAHIR-130:
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Summary: 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-2.1.1, Spark-2.1.0, Spark-2.0.2, Spark-2.0.1,
Spark-2.0.0, Spark-2.2.0
Environment: ApacheSpark, any
Reporter: Romeo Kienzer
Priority: Minor
Fix For: Spark-2.2.0, Spark-2.1.1
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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