gtwuser commented on issue #8532:
URL: https://github.com/apache/hudi/issues/8532#issuecomment-1562722125

   @ad1happy2go job completed in 3hrs, on doing  the following:
   1. "hoodie.bulkinsert.shuffle.parallelism" updated to `5` instead of `200` . 
   2. reducing 20 DPUs to 5 DPUs for glue job
   3. removing these configs  `--conf spark.yarn.executor.memory=8g  --conf 
spark.yarn.executor.memory=10g --conf spark.driver.memory=10g`
   4. Avoiding `dataframe.count()` calls
   5. hoodie.parquet.max.file.size set to `12MB`
   
   But im curious to understand and was even looking for `detailed` 
documentation on 
   1. how is `hoodie.parquet.max.file.size` and `shuffle.parallelism` related ?
   2. what causes `shuffling` of data
   3. what component or parameter we are actually playing with while 
configuring `hoodie.bulkinsert.shuffle.parallelism`.
   4. And finally one simple example on how setting it to huge number would 
lower the performance. 
   
   
   ^^ @ad1happy2go @nsivabalan @umehrot2 


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