Exporting console output from Hive or Impala into CSV format is a challenge faced by data engineers, especially in sectors like FinTech or insurance where accessing production data directly is restricted. The proposed solution demonstrates how to utilize PySpark to convert the structured output from Hive into a CSV, enabling the use of this data in unit tests or for replicating issues. This approach enhances productivity and adherence to security protocols in data handling.
One of the many usecases is in my unit test cases, I have to use this csv file with meaningful data from any database or spark job log.
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