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https://issues.apache.org/jira/browse/ARROW-7885?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17040835#comment-17040835
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Benjamin commented on ARROW-7885:
---------------------------------
Thanks for the feedback. The Flight project indeed looks very interesting!
Maybe this is something we can migrate to in the future.
Regarding parquet: I would like to be able to do something like this (similar
to
[https://arrow.apache.org/docs/python/ipc.html#arbitrary-object-serialization]):
import dask
df = dask.datasets.timeseries()
buf = pa.serialize(df).to_buffer()
Writing out individual tables (using parquet) would mean that I have to do the
handling of the meta data on the dask dataframe myself.
Since pickle for dask dataframe serialization is working fine (and apparently
has improved performance which I didn't know), I see that extending the
arbitrary object serialization to dask is not a priority.
> [Python] pyarrow.serialize does not support dask dataframe
> ----------------------------------------------------------
>
> Key: ARROW-7885
> URL: https://issues.apache.org/jira/browse/ARROW-7885
> Project: Apache Arrow
> Issue Type: Wish
> Components: Python
> Reporter: Benjamin
> Priority: Minor
>
> Currently pyarrow knows how to serialize pandas dataframes but not dask
> dataframes.
> {code:java}
> SerializationCallbackError: pyarrow does not know how to serialize objects of
> type <class 'dask.dataframe.core.DataFrame'>. {code}
> Pickling the dask dataframe foregoes the benefits of using pyarrow for the
> sub dataframes.
> Pyarrow support for serializing dask dataframes would allow storing
> dataframes efficiently in a database instead of a file system (e.g. parquet).
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