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Posted to dev@parquet.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2018/09/04 21:00:00 UTC
[jira] [Updated] (PARQUET-1239) [C++] Arrow table reads error when
overflowing capacity of BinaryArray
[ https://issues.apache.org/jira/browse/PARQUET-1239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney updated PARQUET-1239:
----------------------------------
Fix Version/s: (was: cpp-1.5.0)
cpp-1.6.0
> [C++] Arrow table reads error when overflowing capacity of BinaryArray
> ----------------------------------------------------------------------
>
> Key: PARQUET-1239
> URL: https://issues.apache.org/jira/browse/PARQUET-1239
> Project: Parquet
> Issue Type: Bug
> Components: parquet-cpp
> Affects Versions: cpp-1.4.0
> Reporter: Chris Ellison
> Priority: Major
> Fix For: cpp-1.6.0
>
>
> 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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