[
https://issues.apache.org/jira/browse/ARROW-5030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16804353#comment-16804353
]
Wes McKinney commented on ARROW-5030:
-------------------------------------
I fixed some cases where this occurs in ARROW-4688, but it is still possible to
hit this error for very large row groups (> 2GB of string data in a row group).
I didn't see a follow up JIRA to this or ARROW-3762 so we can use this one for
the issue
https://github.com/apache/arrow/blob/master/cpp/src/parquet/arrow/reader.cc#L915
> [Python] read_row_group fails with Nested data conversions not implemented
> for chunked array outputs
> ----------------------------------------------------------------------------------------------------
>
> Key: ARROW-5030
> URL: https://issues.apache.org/jira/browse/ARROW-5030
> Project: Apache Arrow
> Issue Type: Bug
> Affects Versions: 0.12.0
> Reporter: Jakub Okoński
> Priority: Major
>
> Hey, I'm trying to concatenate two files and to avoid reading everything to
> memory at once, I wanted to use `read_row_group` for my solution, but it
> fails.
>
> I think it's due to fields like these:
> {{pyarrow.Field<to: list<item: string>>}}
>
> But I'm not sure. Is this a duplicate? The issue linked in the code is
> resolved
> https://github.com/apache/arrow/blob/fd0b90a7f7e65fde32af04c4746004a1240914cf/cpp/src/parquet/arrow/reader.cc#L915
>
> Stacktrace is
>
> {{ File "/data/teftel/teftel-data/teftel_data/parquet_stream.py", line 163,
> in read_batches}}
> {{ table = pf.read_row_group(ix, columns=self._columns)}}
> {{ File
> "/home/kuba/.local/share/virtualenvs/teftel-o6G5iH_l/lib/python3.6/site-packages/pyarrow/parquet.py",
> line 186, in read_row_group}}
> {{ use_threads=use_threads)}}
> {{ File "pyarrow/_parquet.pyx", line 695, in
> pyarrow._parquet.ParquetReader.read_row_group}}
> {{ File "pyarrow/error.pxi", line 89, in pyarrow.lib.check_status}}
> {{pyarrow.lib.ArrowNotImplementedError: Nested data conversions not
> implemented for chunked array outputs}}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
