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https://issues.apache.org/jira/browse/ARROW-7885?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17040215#comment-17040215
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Benjamin edited comment on ARROW-7885 at 2/19/20 4:34 PM:
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>From [this|#serializing-pandas-objects] my understanding is that arrow has
>some built-in optimization when serializing pandas DataFrames. By "efficient"
>I mean that it should be smaller and/or serialize faster.
When serializing dask DataFrames I now use pickle but cannot make use of these
optimizations.
With df.to_parquet('arrow') it is possible to use arrow serialization but that
requires data to be written to the file system which I would like to avoid
(thus I am bringing up databases).
My use case is to serialize dask dataframes (preferably with pyarrow) and then
store them in MongoDB (similar to [this
library|[https://github.com/man-group/arctic]).
was (Author: jonen):
>From [this|#serializing-pandas-objects] my understanding is that arrow has
>some built-in optimization when serializing pandas DataFrames. By "efficient"
>I mean that it should be smaller and/or serialize faster.
When serializing dask DataFrames I now use pickle but cannot make use of these
optimizations.
With df.to_parquet('arrow') it is possible to use arrow serialization but that
requires data to be written to the file system which I would like to avoid
(thus I am bringing up databases).
My use case is to serialize dask dataframes (preferably with pyarrow) and then
store them in MongoDB (similar to this library [link
title|[https://github.com/man-group/arctic]).|https://github.com/man-group/arctic]
> [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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