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Posted to jira@arrow.apache.org by "Joris Van den Bossche (Jira)" <ji...@apache.org> on 2021/04/27 07:16:00 UTC
[jira] [Created] (ARROW-12564) [C++] Add compute kernel for extract
keys / items from Map type data
Joris Van den Bossche created ARROW-12564:
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Summary: [C++] Add compute kernel for extract keys / items from Map type data
Key: ARROW-12564
URL: https://issues.apache.org/jira/browse/ARROW-12564
Project: Apache Arrow
Issue Type: Improvement
Components: C++
Reporter: Joris Van den Bossche
For a single array ({{MapArray}}) there are the {{.keys}} and {{.items}} attributes (in Python, corresponding to {{MapArray::keys()/items()}} in C++) to extract the keys or items as a new array.
However, when eg having a Table column as a ChunkedArray, there is not easy way to get a new ChunkedArray of keys (except by iterating through the chunks in Python: {{keys = pa.chunked_array([chunk.keys for chunk in map_data.iterchunks()])}})
We could add compute kernels {{map_keys}}/{{map_items}} to do this for both array or chunked array.
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