PySpark: multiple conditions in when clause - Stack Overflow when in pyspark multiple conditions can be built using (for and) and | (for or) Note:In pyspark t is important to enclose every expressions within parenthesis () that combine to form the condition
How to export a table dataframe in PySpark to csv? I am using Spark 1 3 1 (PySpark) and I have generated a table using a SQL query I now have an object that is a DataFrame I want to export this DataFrame object (I have called it quot;table quot;
How to change dataframe column names in PySpark? I come from pandas background and am used to reading data from CSV files into a dataframe and then simply changing the column names to something useful using the simple command: df columns =
pyspark dataframe filter or include based on list I am trying to filter a dataframe in pyspark using a list I want to either filter based on the list or include only those records with a value in the list My code below does not work: # define a
spark dataframe drop duplicates and keep first - Stack Overflow 2 I just did something perhaps similar to what you guys need, using drop_duplicates pyspark Situation is this I have 2 dataframes (coming from 2 files) which are exactly same except 2 columns file_date (file date extracted from the file name) and data_date (row date stamp)