Add bulk_read option for reading large amounts of Parquet files quickly
#2033
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jaidisido
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Feb 24, 2023
awswrangler/distributed/ray/datasources/arrow_parquet_base_datasource.py
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LeonLuttenberger
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bulk_read option for reading large amounts of Parquet files quickly
malachi-constant
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Feb 24, 2023
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jaidisido
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Feb 28, 2023
LeonLuttenberger
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Feature or Bugfix
Detail
bulk_read_parquetparameter which will use the newly implementedArrowParquetBaseDatasourcewhen reading Parquet files. This won't check for any schema compatibility, resulting in significantly faster reading time. However, in order for that to work, the Parquet files must be uniform.validate_schemaso that it doesn't go through the schemas unlessvalidate_schema=True.The changes above have resulted in the following differences in performance when reading 1111 objects from S3:
validate_schema=Trueandbulk_read_parquet=False: 76 seconds (this has been the default behavior thus far)validate_schema=Falseandbulk_read_parquet=False(AKA the closest equivalent to 1.ray.data.read_parquet(path).to_modin()): 50 secondsbulk_read_parquet=True: 18 secondsBy submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.