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From "Wes McKinney (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (ARROW-504) [Python] Add adapter to write pandas.DataFrame in user-selected chunk size to streaming format
Date Sat, 21 Jan 2017 19:13:27 GMT

    [ https://issues.apache.org/jira/browse/ARROW-504?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15833110#comment-15833110
] 

Wes McKinney commented on ARROW-504:
------------------------------------

cc [~mrocklin] -- you may have some use cases for converting DataFrames to streams in {{dask.dataframe}}

> [Python] Add adapter to write pandas.DataFrame in user-selected chunk size to streaming
format
> ----------------------------------------------------------------------------------------------
>
>                 Key: ARROW-504
>                 URL: https://issues.apache.org/jira/browse/ARROW-504
>             Project: Apache Arrow
>          Issue Type: New Feature
>            Reporter: Wes McKinney
>
> While we can convert a {{pandas.DataFrame}} to a single (arbitrarily large) {{arrow::RecordBatch}},
it is not easy to create multiple small record batches -- we could do so in a streaming fashion
and immediately write them into an {{arrow::io::OutputStream}}.



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