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Speedup stats processing in Spark cluster #2871

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Speedup stats processing in Spark cluster #2871

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  1. Write a copy of the listens to HDFS on import of a full dump, this makes speeds up filtering of listens and increases the speed of processing in many cases.
  2. Remove Pydantic validation in places where it seemed redundant or of not much use.

Before this PR, an entire stats run took about 9 hours. With step 2, it went down to 6.25 hours and then with step 1 on top of it, it goes down to 5.75 hours.

@amCap1712
Write listens as partitioned parquet on import
1fe9db0 
Write a copy of the listens to HDFS on import of a full dump, this makes
speeds up filtering of listens and increases the speed of processing in many cases.
@amCap1712
Eliminate redundant or overzealous validation steps for speedup
13a4a88
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