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Posted to jira@arrow.apache.org by "Nick DiQuattro (Jira)" <ji...@apache.org> on 2020/10/30 23:20:00 UTC
[jira] [Commented] (ARROW-9676) [R] Map type support
[ https://issues.apache.org/jira/browse/ARROW-9676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17223945#comment-17223945 ]
Nick DiQuattro commented on ARROW-9676:
---------------------------------------
[~npr] Oh, actually, I looked back on our thread and my recent test was on the wrong file. I re-checked and it works now! The previously crashing column shows as a
struct<analysis:
with `as_data_frame = FALSE`, but now it parses as a nested tibble with `as_data_frame = TRUE` !!
> [R] Map type support
> --------------------
>
> Key: ARROW-9676
> URL: https://issues.apache.org/jira/browse/ARROW-9676
> Project: Apache Arrow
> Issue Type: Bug
> Components: R
> Affects Versions: 1.0.0
> Environment: Amazon Linux, 32gb of ram
> Reporter: Nick DiQuattro
> Priority: Major
>
> When trying to collect data from a dataset based on parquet files with nested structs (column is a struct with 2 structs nested) of moderate size (1Mish rows), R crashes. If I add a filter to reduce the number of rows, the data is parsed. If I select out the struct column, it works great (up to 21M rows). My hunch is the structs resulting in data.frame columns may be the issue. I am curious if there's a way to have arrow import structs as lists instead of data.frames. Thanks for the direction to here [~neilr8133]!
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