runrig

Example: ``` cols = ["id", "name", "salary", "Address"] df1 = spark.createDataFrame([ [1, "ABC", 5000, "US"], [2, "DEF", 4000, "UK"], [3, "GHI", 3000, "JPN"], [4, "JKL", 4500, "CHN"], [None, "MNO", 42,...

@fdosani @dan-coates Hi, I tried out this branch, and some basic usage was okay, but got error: __init__() got an unexpected keyword argument 'column_mapping' the 'column_mapping' option for SparkCompare() appears...

Sorry, I haven't checked in for a while, but were NullSafe comparisons ever incorporated into a release version? Or is it part of other changes not yet merged? Thanks.

I can't easily upgrade the library on the system I use since I'm not the admin (though I was at the time I installed it, so I installed the latest...

Also note that my 'ulimit -n' is 256, and I was able to split up my workbook into workbooks of 200 sheets a piece, and processed those ok with no...