How to find out delimiter Dynamically in csv files? | Databricks Tutorial | PySpark | Automation |

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Комментарии
Автор

No need for regex. Import csv instead. The following code will catch all delimeters:

import csv

def getDelimeter(file_path):
try:
headerlist =
header_str= str(headerlist)
dialect =
return dialect.delimiter
except Exception as e:
print("Error Occurred ", str(e))

bermagot
Автор

In our project they have written custom code in UDF for scd type 1 and 2, scd type 2 soft delete. Am not able to understand that code. If they mentioned in jira it is full load or incremental load. We need work on that. How it dynamically knows it's whether it is a full or incremental. Can you please explain bro.

sravankumar
Автор

Bro, under try block you have defined sc.textFile( ). Can you please shed some light what is "sc" .?

nitinpandey
Автор

i get an error 'SparkSession' object has no attribute 'textFile'
I already have spark session configured in my file

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