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https://issues.apache.org/jira/browse/ARROW-3410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney updated ARROW-3410:
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Summary: [C++][Dataset] Streaming CSV reader interface for
memory-constrainted environments (was: [C++] Streaming CSV reader interface
for memory-constrainted environments)
> [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
> Priority: Major
> Labels: dataset
>
> 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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