[jira] [Resolved] (ARROW-3410) [C++][Dataset] Streaming CSV reader interface for memory-constrainted environments

["Francois Saint-Jacques (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-3410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Francois Saint-Jacques resolved ARROW-3410.
-------------------------------------------
    Fix Version/s: 0.17.0
       Resolution: Fixed

Issue resolved by pull request 6764
[https://github.com/apache/arrow/pull/6764]

> [C++][Dataset] Streaming CSV reader interface for memory-constrainted environments
> ----------------------------------------------------------------------------------
>
>                 Key: ARROW-3410
>                 URL: https://issues.apache.org/jira/browse/ARROW-3410
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: C++
>            Reporter: Wes McKinney
>            Assignee: Antoine Pitrou
>            Priority: Major
>              Labels: dataset, pull-request-available
>             Fix For: 0.17.0
>
>          Time Spent: 2h
>  Remaining Estimate: 0h
>
> CSV reads are currently all-or-nothing. If the results of parsing a CSV file do not fit into memory, this can be a problem. I propose to define a streaming {{RecordBatchReader}} interface so that the record batches produced by reading can be written out immediately to a stream on disk, to be memory mapped later



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