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Posted to dev@arrow.apache.org by "James Lamb (JIRA)" <ji...@apache.org> on 2018/09/10 04:13:00 UTC
[jira] [Created] (ARROW-3205) [R] Minimum working example
round-tripping a data frame from R to plasma to pandas
James Lamb created ARROW-3205:
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Summary: [R] Minimum working example round-tripping a data frame from R to plasma to pandas
Key: ARROW-3205
URL: https://issues.apache.org/jira/browse/ARROW-3205
Project: Apache Arrow
Issue Type: New Feature
Components: R
Reporter: James Lamb
I see tremendous opportunity for interoperability between Python and R (two popular languages for data scientists) using Arrow as an interchange format.
To make this concrete and get developers in those languages interested, I think it would be valuable to create a minimum working example of writing an R data frame into plasma and reading it back up into *pandas* in a separate Python process, and vice versa.
I could, for example, envision reading a CSV up into a *data.table* in R to do some cleaning and feature engineering, writing that object to *plasma*, then kicking off multiple parallel Python processes to search a space of models. This could demonstrate the benefits of replacing "load this dataset from a file 50 times" with "read off this range of memory in plasma".
I believe pretty strongly that a tangible example like this would meaningfully improve the R community's interest in and engagement with the Arrow project.
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