jonkeane commented on a change in pull request #12159:
URL: https://github.com/apache/arrow/pull/12159#discussion_r787232480
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File path: r/NEWS.md
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@@ -19,15 +19,54 @@
# arrow 6.0.1.9000
-* Added `decimal256()`. Updated `decimal()`, which now calls `decimal256()` or
`decimal128()` based on the value of the `precision` argument.
-* updated `write_csv_arrow()` to follow the signature of `readr::write_csv()`.
The following arguments are supported:
+## New features
+* Code to generate schemas (and individual data type specficiations) are now
accessible with the `$code()` on a `schema` or `type`. This allows you to
easily get the code needed to create a schema from an object that already has
one.
+* Arrow `Duration` type is now mapped to base R `difftime`.
+* Updated `write_csv_arrow()` to follow the signature of `readr::write_csv()`.
The following arguments are supported:
* `file` identical to `sink`
* `col_names` identical to `include_header`
* other arguments are currently unsupported, but the function errors with a
meaningful message.
-* Added `decimal128()` (~~identical to `decimal()`~~) as the name is more
explicit and updated docs to encourage its use.
+* `lubridate::week()` is now supported in dplyr queries.
+* Added `decimal256()`. Updated `decimal()`, which now calls `decimal256()` or
`decimal128()` based on the value of the `precision` argument.
+* When adding columns in a dplyr pipeline, one can now use `tibble` and
`data.frame` to create columns of tibbles or data.frames respectively (e.g.
`... %>% mutate(df_col = tibble(a, b)) %>% ...`).
+* More of `lubridate`'s `is.*` functions are natively supported in Arrow.
+* Dictionaries (base R's factors) are now supported inside of `coalesce()`.
+* The package now compiles and installs on Raspberry Pi OS.
+
+## Breaking changes
+* R 3.3 is no longer supported (`glue`, which we depend on transitively has
dropped support for 3.3 so we did as well).
+
+## Quality of life enhancements
+* Many of the vignettes have been reorganized, restructured and expanded to
improve their usefulness and clarity.
* Source builds now by default use `pkg-config` to search for system
dependencies (such as `libz`) and link to them
-if present. To retain the previous behaviour of downloading and building all
dependencies, set `ARROW_DEPENDENCY_SOURCE=BUNDLED`.
+if present. To retain the previous behaviour of downloading and building all
dependencies, set `ARROW_DEPENDENCY_SOURCE=BUNDLED`.
+* `open_dataset()` now accepts (though ignores) partitioning column names with
hive-style partitioned data.
+* `write_parquet()` now uses a reasonable guess at `chunk_size` instead of
always writing a single chunk.
+* S3 file systems can now be created with `proxy_options` for helping specify
a proxy.
+* There is an improved error message when reading CSVs and there is a conflict
between a header in the file and schema/column names are provided as arguments.
+* Delimited files (including CSVs) with encodings other than UTF can now be
read (using the `encoding` argument when reading).
+* Integer division in Arrow now more closely matches R's behavior.
+* Snappy and lz4 compression libraries are now built (and enabled) by default.
+* The `label` argument is now supported in the `lubridate::month` binding.
+* Conditionals insides of `group_by` aggregations are now supported.
* Opening datasets now use async scanner by default which resolves a deadlock
issues related to reading in large multi-CSV datasets
+* brotli compression is now possible on Windows builds.
+* Building Arrow on Windows can now find a locally built libarrow library.
+
+## Bug fixes
+* The experimental `map_batches()` is working once more.
+* `write_parquet()` no longer drops attributes for grouped data.frames.
+* `head()` no longer hangs on CSV datasets > 600MB.
+* `open_dataset()` now faithfully ignores `BOM`s (like we already did with
reading single files).
Review comment:
Byte order marks, I've added that to the text
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