Splitting DF single row to multiple rows based on range columns | PySpark | Realtime Scenario

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Hi Friends,

In this video, I have explained how to split a single row into multiple rows based on the ranges given in two columns into multiple rows in PySpark.


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  1. SparklingFuture
  2. #sequence
  3. #explode
  4. #split
  5. #cols
  6. #DF cols
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Hi Sravana I have one doubt in my project we are extracting data rest api , basically we have 2 endpoints 2 json files are generated in raw then it moves delta, 2 tables are generated. Here we have to apply transformations. I have some doubts on mapping documents. I will share the mapping document can you please tell me the solution. Actually I didn't work on api's here different id's source column names and target column names same how can we write logic. Please help me

sravankumar
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