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[SPARK-20192][SPARKR][DOC] SparkR migration guide to 2.2.0 #17816

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[SPARK-20192][SPARKR][DOC] SparkR migration guide to 2.2.0 #17816

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migration to 2.2
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@felixcheung
felixcheung committed May 1, 2017
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## Upgrading to SparkR 2.1.0

- `join` no longer performs Cartesian Product by default, use `crossJoin` instead.

## Upgrading to SparkR 2.2.0

- A `numPartitions` parameter has been added to `createDataFrame` and `as.DataFrame`. When splitting the data, the partition position calculation has been made to match the one in Scala.
- The method `createExternalTable` has been deprecated to be replaced by `createTable`. Either methods can be called to create external or managed table. Additional catalog methods have also been added.
- By default, derby.log is now saved to `tempdir()`. This will be created when instantiating the SparkSession with `enableHiveSupport` set to `TRUE`.
- `spark.lda` was not setting the optimizer correctly. It has been corrected.
- Several model summary outputs are updated to have `coefficients` as `matrix`. This includes `spark.logit`, `spark.kmeans`, `spark.glm`. Model summary outputs for `spark.gaussianMixture` have added log-likelihood as `loglik`.