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@romainfrancois
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tibble is now on Suggests. The code still makes tibbles, so that if tibble is otherwise loaded, data frames are nicely print, etc... but does not need to specifically Imports it.

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codecov-io commented Jun 10, 2019

Codecov Report

Merging #4454 into master will decrease coverage by 13.12%.
The diff coverage is 100%.

Impacted file tree graph

@@             Coverage Diff             @@
##           master    #4454       +/-   ##
===========================================
- Coverage   88.11%   74.99%   -13.13%     
===========================================
  Files         850       54      -796     
  Lines      105774     3111   -102663     
  Branches     1253        0     -1253     
===========================================
- Hits        93203     2333    -90870     
+ Misses      12326      778    -11548     
+ Partials      245        0      -245
Impacted Files Coverage Δ
r/R/Table.R 86.66% <ø> (ø) ⬆️
r/R/RecordBatch.R 96% <ø> (ø) ⬆️
r/R/feather.R 58.33% <100%> (ø) ⬆️
r/R/parquet.R 100% <100%> (ø) ⬆️
r/R/read_table.R 100% <100%> (ø) ⬆️
python/pyarrow/ipc.pxi
cpp/src/arrow/csv/chunker-test.cc
cpp/src/parquet/column_page.h
cpp/src/parquet/bloom_filter-test.cc
cpp/src/arrow/array/builder_decimal.cc
... and 791 more

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@nealrichardson
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LGTM; we aren't using tibble for anything special ourselves, just returning a data.frame with the tbl_df class, so it makes sense not to depend on it (not that the weight of the dependency is so significant, relative to libarrow :)

This does make the as_tibble arguments in read_feather/parquet/etc. slightly misnamed, but I'm not too concerned because I'm hoping we can remove that arg soon. IMO read_feather et al. should always return a data.frame, and we should provide a different function (I've proposed open_dataset()) for opening a file or directory of files (local or remote) in Arrow-space.

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3 participants