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https://issues.apache.org/jira/browse/ARROW-3731?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16722409#comment-16722409
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Jeffrey Wong edited comment on ARROW-3731 at 12/16/18 6:44 AM:
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Is this a matter of implementing the ParquetReader as shown in
[https://github.com/apache/arrow/blob/723a437802143fd00d97c101caaf6deabea3f8c6/cpp/examples/parquet/low-level-api/reader-writer.cc#L181]
into the list of IO types for the R package?
[https://github.com/apache/arrow/blob/master/r/src/io.cpp#L110]. I think if the
ParquetReader is implemented, it could create a arrow::Table type just like
RecordBatchFileReader, and then we would be able to reuse the table to tibble
conversion function that already exists
was (Author: jeffreyw):
Is this a matter of implementing the ParquetReader as shown in
https://github.com/apache/arrow/blob/723a437802143fd00d97c101caaf6deabea3f8c6/cpp/examples/parquet/low-level-api/reader-writer.cc#L181
into the list of IO types for the R package?
https://github.com/apache/arrow/blob/master/r/src/io.cpp#L110
> [R] R API for reading and writing Parquet files
> -----------------------------------------------
>
> Key: ARROW-3731
> URL: https://issues.apache.org/jira/browse/ARROW-3731
> Project: Apache Arrow
> Issue Type: New Feature
> Components: R
> Reporter: Wes McKinney
> Priority: Major
> Labels: parquet
>
> To start, this would be at the level of complexity of
> {{pyarrow.parquet.read_table}} and {{write_table}}
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