However, I need to accomplish the same task, but with big data. How can I use PySpark to compare two dataframes in the same way? pandas.DataFrame.compare https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.compare.html I reviewed the Apache Spark documentation, but wasn't able ...
I'm thinking of going with a UDF function by passing row from each dataframe to udf and compare column by column and return column list. However for that both the data frames should be in sorted order so that same id rows will be sent to udf. Sorting is costly operation here. Any sol...
python data-science data spark numpy pandas pyspark compare dask dataframes fugue polars Updated Oct 16, 2024 Python Rhymond / product-compare-react Star 322 Code Issues Pull requests React Example - Product Compare Page react redux product bootstrap4 compare example-project react-example-ap...
PandasDataFrame.compare()function is used to compare given DataFrames row by row along with the specified align_axis. Sometimes we have two or more DataFrames having the same data with slight changes, in those situations we need to observe thedifference between two DataFrames. By default,compare...
the below code snippet will give you 2 dataframes one has rows inLeftButNotInRight and another one having InRightButNotInLeft. if you do a JOIN between both then you can apply some logic to identify the missing primary keys (where possible) and then those keys would constitute the deleted...
then union the results of df2.except(df1) and left anti join But I didn't test the performance of left anti join on large dataset PS: If your spark version is over 2.4, using spark-extension will be easier I just discovered a wonderful package for pyspark that compares two dataframes....