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Rok Mihevc commented on ARROW-3410: ----------------------------------- This issue has been migrated to [issue #19737|https://github.com/apache/arrow/issues/19737] on GitHub. Please see the [migration documentation|https://github.com/apache/arrow/issues/14542] for further details. > [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 10m > 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 -- This message was sent by Atlassian Jira (v8.20.10#820010)