@jpivarski jpivarski released this Nov 10, 2016 · 12 commits to 1.0.x since this release

Assets 2

Added features to sparksql so that it can be called like this:

val result = myDataFrame.Bin(100, -5, 5, myColumn)

and a Py4J-friendly interface so that it can be called from PySpark as well. Running SparkSQL Histogrammar in PySpark will actually call Histogrammar-Scala for better performance.