[GitHub] spark issue #16739: [SPARK-19399][SPARKR] Add R coalesce API for DataFrame a...

[jkbradley <gi...@git.apache.org>]

Github user jkbradley commented on the issue:

    https://github.com/apache/spark/pull/16739
  
    I've commented elsewhere, but wanted to here just to make more people aware: Let's refrain from backporting new APIs into patch versions unless they are really critical.  We do not do this elsewhere in Spark, and we should not in SparkR.  New APIs and API changes should only happen in minor versions (and ideally changes will only happen in major ones).  It's been discussed elsewhere that SparkR is more experimental than other parts of Spark, but the sooner we start treating it like a stable library, the sooner it will be a stable library.  For most people, there isn't a huge difference between getting a new API in a patch version (every 1-2 months) vs. getting it in a minor version (every 4 months).  Thanks all!


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