[ https://issues.apache.org/jira/browse/ARROW-3762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Benjamin Kietzman updated ARROW-3762: ------------------------------------- Description: # 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} was: 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} > [C++] Parquet arrow::Table reads error when overflowing capacity of > BinaryArray > ------------------------------------------------------------------------------- > > Key: ARROW-3762 > URL: https://issues.apache.org/jira/browse/ARROW-3762 > Project: Apache Arrow > Issue Type: Bug > Components: C++, Python > Reporter: Chris Ellison > Assignee: Benjamin Kietzman > Priority: Major > Labels: parquet, pull-request-available > Fix For: 0.14.0, 0.15.0 > > Time Spent: 8h 10m > Remaining Estimate: 0h > > # 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 (v8.3.2#803003)