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From srowen <...@git.apache.org>
Subject [GitHub] spark issue #15868: [SPARK-18413][SQL] Add `maxConnections` JDBCOption
Date Thu, 17 Nov 2016 19:21:40 GMT
Github user srowen commented on the issue:

    https://github.com/apache/spark/pull/15868
  
    OK I have an overall question about this approach. The point is to limit concurrent JDBC
connections? this does that, but, requires repartitioning data to accomplish that, which is
expensive. One could also just use a connection pool to cap this automatically and globally.
That's, however, fairly driver-specific. OK, maybe that's a different topic.
    
    Here though, why not just let the user repartition the DataFrame if desired? Is it worth
a property?


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