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https://issues.apache.org/jira/browse/ARROW-15841?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated ARROW-15841:
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Labels: pull-request-available (was: )
> [R] Implement SafeCallIntoR to safely call the R API from another thread
> ------------------------------------------------------------------------
>
> Key: ARROW-15841
> URL: https://issues.apache.org/jira/browse/ARROW-15841
> Project: Apache Arrow
> Issue Type: Improvement
> Components: R
> Reporter: Dewey Dunnington
> Priority: Major
> Labels: pull-request-available
> Time Spent: 10m
> Remaining Estimate: 0h
>
> In ARROW-9235 we have a problem where we need to evaluate code (may be C++
> that calls the R API in a way that may allocate R memory or literal R code)
> on the R main thread. As discussed in the pull request (
> https://github.com/apache/arrow/pull/12323#issuecomment-1054726309 ), there
> are other times that this has come up and will come up in the future (e.g.,
> evaluating user-defined R functions from the query engine, implementing
> extension types from R).
> After discussing with [~westonpace], it seems like it is worth investing in a
> {{SafeCallFromR()}} C++ function that lives in the R bindings. The initial
> approach (that may need to be altered as we go) will be to
> - have a global object that is initialized at the beginning of a C++ call
> from R to specific functions (and released on exit) that maintains some list
> of tasks that need to run on the R main thread and an event loop to
> periodically evaluate them while background tasks are running.
> - define a {{SafeCallFromR()}} C++ function that adds a task to the global
> object and waits for the result to come back.
> (with apologies to Weston if I mischaracterized our conversation!)
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