Answer by Raghu Paredla for Read in CSV in Pyspark with correct Datatypes
You can specifiy an option ('dateFormat','d.M.y') to the DataFrameReader to parse date in particular format.df =...
View ArticleAnswer by vikrant rana for Read in CSV in Pyspark with correct Datatypes
Here you go!"Customer","TransDate","Quantity","PurchAmount","Cost","TransID","TransKey"149332,"15.11.2005",1,199.95,107,127998739,100000PATH_TO_FILE="file:///u/vikrant/LocalTestDateFile"Loading above...
View ArticleRead in CSV in Pyspark with correct Datatypes
When I am trying to import a local CSV with spark, every column is by default read in as a string. However, my columns only include integers and a timestamp type. To be more specific, the CSV looks...
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