Chris Ellison created ARROW-2242:
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Summary: [Python] ParquetFile.read does not accommodate large
binary data
Key: ARROW-2242
URL: https://issues.apache.org/jira/browse/ARROW-2242
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 0.8.0
Reporter: Chris Ellison
Fix For: 0.9.0
When reading a parquet file with binary data > 2 GiB, we get an ArrowIOError
due to it not creating chunked arrays. Reading each row group individually and
then concatenating the tables works, however.
{code:java}
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
x = pa.array(list('1' * 2**30))
demo = 'demo.parquet'
def scenario():
t = pa.Table.from_arrays([x], ['x'])
writer = pq.ParquetWriter(demo, t.schema)
for i in range(2):
writer.write_table(t)
writer.close()
pf = pq.ParquetFile(demo)
# pyarrow.lib.ArrowIOError: Arrow error: Invalid: BinaryArray cannot
contain more than 2147483646 bytes, have 2147483647
t2 = pf.read()
# Works, but note, there are 32 row groups, not 2 as suggested by:
#
https://arrow.apache.org/docs/python/parquet.html#finer-grained-reading-and-writing
#tables = [pf.read_row_group(i) for i in range(pf.num_row_groups)]
#t3 = pa.concat_tables(tables)
scenario()
{code}
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