Consider a Scenario i have a two files one is metadata file and another one some list of data frame values, in my metadata file i have the list column name and the data type as the values

we are doing the data validation to passing the source table for SQL view name like TEST_SCH.VIEWNAME and target datalake delta view for schema.deltaview to compare the column row count testing. so that we have to write many script to do execute.

I am a beginner of Pyspark.
I have a dataframe like below and want to calculate the day difference between the “first date” of “Type D” and “last date” of the PREVIOUS row of “Type I”

I have this code snippet to get the minimum distances of each user to all centroids:

I currently apply basic asc/desc sort to a column in Python like this:

I would like to merge rows in PySpark DataFrame based on partial overlapping values in a column. Here’s a simplified example:

I have a pyspark dataframe with below columns

Getting a Pyspark reference error here (full code below): ‘if fi.stat().st_ctime >= today_midnight:’. Working in Palantir Foundry, using a transform to rename a json file. Any idea what is causing this? Thx!!

I am trying to create a data frame in pySpark, but after writing all the steps properly, program throws an error at df.show() line

I want to keep only the unique alphabets in a pyspark string Column.Please suggest any solution without using udfs. I need a Pyspark solution, not the multiple pythonic solutions present on the forum. Thanks