This is an automated email from the ASF dual-hosted git repository.
thisisnic pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/arrow.git
The following commit(s) were added to refs/heads/main by this push:
new a0e64ef541c GH-51656: [R] Polish NEWS.md and README for 26.0.0 (#51657)
a0e64ef541c is described below
commit a0e64ef541c2fe28fa5d343c87ebf8d678b2ffb2
Author: Nic Crane <[email protected]>
AuthorDate: Wed Sep 30 14:45:58 2026 +0100
GH-51656: [R] Polish NEWS.md and README for 26.0.0 (#51657)
### Rationale for this change
Update NEWS and README for release
### What changes are included in this PR?
Update NEWS and README for release
### Are these changes tested?
No
### Are there any user-facing changes?
No
### Was AI used for this PR?
In accordance to the [AI generation
guidelines](https://arrow.apache.org/docs/dev/developers/overview.html#ai-generated-code),
please disclose below whether and how AI was used in this PR.
**PR code and description written by:**
- [x] Human
- [x] AI
**Reviewed before submission by:**
- [x] Human
- [ ] AI
- [ ] Not reviewed
* GitHub Issue: #51656
Authored-by: Nic Crane <[email protected]>
Signed-off-by: Nic Crane <[email protected]>
---
r/NEWS.md | 27 +++++++++++++++++++++++++++
r/README.md | 4 ++--
2 files changed, 29 insertions(+), 2 deletions(-)
diff --git a/r/NEWS.md b/r/NEWS.md
index 1bda314ee7f..1d1466de377 100644
--- a/r/NEWS.md
+++ b/r/NEWS.md
@@ -23,9 +23,33 @@
- The `.data.frame` argument to `map_batches()`, deprecated since 9.0.0, has
been removed. Call `collect()` on the result to get a data frame (#51655).
+- `read_feather()` and `write_feather()` now warn that they are deprecated. Use
+ `read_ipc_file()` and `write_ipc_file()` instead. Similarly,
+ `format = "feather"` in `open_dataset()` and `write_dataset()` is deprecated
+ in favour of `format = "ipc"`, and extra arguments passed via `...` to
+ `read_ipc_stream()` and `write_ipc_stream()` are deprecated and ignored
+ (#49237).
+- `register_scalar_function()` now errors if the names in `in_type` do not
+ match the argument names of `fun`, instead of silently ignoring them
+ (#37761).
+
+## New features
+
+- New `AzureFileSystem` class and `az_container()` helper for working with
+ Azure Blob Storage, analogous to `S3FileSystem` and `s3_bucket()`. See
+ `vignette("install", package = "arrow")` for how to enable Azure support
+ when building from source (@marberts, #32123).
## Minor improvements and fixes
+- Variables with the same name as a function, such as `date`, can now be used
+ in dplyr verbs (#39688).
+- Reading Parquet files with `float16` columns now returns the correct values
+ (#50378).
+- `if_else()` now works when one branch is a bare `NA` and the other is a date
+ or timestamp (#38358).
+- `mutate()` with `if_any()` or `if_all()` now gives the new column the correct
+ name (#34860).
- Factor levels inside list columns are now unified across the whole column
when converting to R, so data read in multiple batches (e.g. via
`read_ipc_stream()` or `open_dataset()`) produces valid factors that can be
@@ -36,6 +60,9 @@
`pull()` will keep returning an R vector by default; use
`as_vector = FALSE` or `options(arrow.pull_as_vector = FALSE)` to get a
`ChunkedArray` (#51655).
+- `str_replace()` with an `NA` replacement now returns `NA` for matched
+ elements, matching stringr (@Gosling-dude, #33432).
+- `summarise()` after `arrange()` now works (#45373).
# arrow 25.0.1
diff --git a/r/README.md b/r/README.md
index 268ee24bdf0..595a6a798ba 100644
--- a/r/README.md
+++ b/r/README.md
@@ -56,7 +56,7 @@ tasks.
It allows users to read and write data in a variety of formats:
- Read and write Parquet files, an efficient and widely used columnar format
-- Read and write Arrow (formerly known as Feather) files, a format optimized
for speed and
+- Read and write Arrow IPC (formerly known as Feather) files, a format
optimized for speed and
interoperability
- Read and write CSV files with excellent speed and efficiency
- Read and write multi-file and larger-than-memory datasets
@@ -64,7 +64,7 @@ It allows users to read and write data in a variety of
formats:
It provides access to remote filesystems and servers:
-- Read and write files in Amazon S3 and Google Cloud Storage buckets (note:
CRAN builds include S3 support but not GCS which require an alternative
installation method; see the [cloud storage
article](https://arrow.apache.org/docs/r/articles/fs.html) for details)
+- Read and write files in Amazon S3, Google Cloud Storage, and Azure Blob
Storage (note: CRAN builds include S3 support but not GCS, which requires an
alternative installation method; Azure is not currently available on Windows.
See the [cloud storage
article](https://arrow.apache.org/docs/r/articles/fs.html) for details)
- Connect to Arrow Flight servers to transport large datasets over networks
Additional features include:
