Chris Ellison created ARROW-2242: ------------------------------------ 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} -- This message was sent by Atlassian JIRA (v7.6.3#76005)