How can I achieve predicate pushdown when using PyArrow + Parquet + Google Cloud Storage?

Question

What I'm really trying to do is this (in Python):

import pyarrow.parquet as pq

# Note the 'columns' predicate...
table = pq.read_table('gs://my_bucket/my_blob.parquet', columns=['a', 'b', 'c'])

First, I don't think that gs:// is supported in PyArrow as of V3.0.0. So I have to modify the code to use the fsspec interface: https://arrow.apache.org/docs/python/filesystems.html

import pyarrow.parquet as pq
import gcsfs

fs = gcsfs.GCSFileSystem(project='my-google-project')
with fs.open('my_bucket/my_blob.parquet', 'rb') as file:
    table = pq.read_table(file.read(), columns=['a', 'b', 'c'])

Does this achieve predicate pushdown (I doubt it, because I'm already readying the whole file with file.read()), or is there a better way to get there?

Answer 1

Does this work?

import pyarrow.parquet as pq
import gcsfs

fs = gcsfs.GCSFileSystem(project='my-google-project')
table = pq.read_table('gs://my_bucket/my_blob.parquet', columns=['a', 'b', 'c'], filesystem=fs)