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This originates from [this SO question|[https://stackoverflow.com/questions/69379083/read-a-partitioned-parquet-dataset-from-multiple-files-with-pyarrow-and-add-a-pa].]
The idea is to have a portioning scheme that would allow to construct a primary key from the filename.
Let's say that one is trying to read /data-N.parquet where N is an integer. That information should go in a primary key for later reference.
This is quite similar to have the files laid-out like this : /N/data.parquet so I imagine this is technically feasible.
This originates from [this SO question|[https://stackoverflow.com/questions/69379083/read-a-partitioned-parquet-dataset-from-multiple-files-with-pyarrow-and-add-a-pa].]
The idea is to have a portioning scheme that would allow to construct a primary key from the filename.
Let's say that one is trying to read
/data-N.parquet
whereN
is an integer. That information should go in a primary key for later reference.This is quite similar to have the files laid-out like this :
/N/data.parquet
so I imagine this is technically feasible.Reporter: Cédric Hernalsteens
Related issues:
Note: This issue was originally created as ARROW-14176. Please see the migration documentation for further details.
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