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

felixcheung · Felix Cheung · commit d20a976e8918 · 2017-05-01T21:03:48.000-07:00
## What changes were proposed in this pull request? Updating R Programming Guide ## How was this patch tested? manually Author: Felix Cheung <felixcheung_m@hotmail.com> Closes #17816 from felixcheung/r22relnote.
diff --git a/docs/sparkr.md b/docs/sparkr.md
@@ -644,3 +644,11 @@ You can inspect the search path in R with [`search()`](https://stat.ethz.ch/R-ma
 ## 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`.
