viirya commented on code in PR #305:
URL: https://github.com/apache/arrow-site/pull/305#discussion_r1103880274
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_posts/2023-01-26-rust-32.0.0.md:
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+---
+layout: post
+title: "January 2023 Rust Apache Arrow Highlights"
+date: "2023-01-26 00:00:00 +0000"
+author: pmc
+categories: [release]
+---
+<!--
+{% comment %}
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+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+{% endcomment %}
+-->
+
+# Introduction
+
+With the recent release of [32.0.0](https://crates.io/crates/arrow/32.0.0) of
the Rust implementation of [Apache Arrow](https://arrow.apache.org/), it seemed
timely to highlight some of the communities work since the [last
update](https://arrow.apache.org/blog/2022/06/16/rust-16.0.0/).
+
+The most recent list of detailed changes can always be found in the
[CHANGELOG](https://github.com/apache/arrow-rs/blob/master/CHANGELOG.md), with
the full historical list available
[here](https://github.com/apache/arrow-rs/blob/master/CHANGELOG-old.md).
+
+# Arrow
+
+[arrow](https://crates.io/crates/arrow) and
[arrow-flight](https://crates.io/crates/arrow-flight) are native Rust
implementations of Apache Arrow. Apache Arrow defines a language-independent
columnar memory format for flat and hierarchical data, organized for efficient
analytic operations on modern hardware like CPUs and GPUs. The Arrow memory
format also supports zero-copy reads for lightning-fast data access without
serialization overhead.
+
+The [Rust language](https://www.rust-lang.org/) offers best in class
performance, memory safety, and the developer productivity of a modern
programming language. These features make Rust an excellent choice for building
modern high performance analytical systems. When combined, Rust and the Apache
Arrow Ecosystem are a compelling toolkit for building the next generation of
systems.
+
+The [repository](https://github.com/apache/arrow-rs) recently passed 1400
stars on github, and the community has been focused on performance and feature
completeness.
+
+
+**Major Highlights**
+
+* **New CSV and JSON Readers**: The CSV and JSON readers have been revamped.
Their performance has more than doubled, and they now support push-driven
parsing facilitating async streaming decode from object storage.
+* **Faster Build Times and Reduced Codegen**: The `arrow` crate has been split
into multiple smaller crates, and large kernels have been moved behind optional
feature flags. These changes allow downstream projects to choose a smaller
dependency footprint and build times, if desired.
+* **Support for Copy-On-Write**: Arrow arrays now support copy-on-write, via
the
[`into_builder`](https://docs.rs/arrow/32.0.0/arrow/array/struct.ArrayData.html#method.into_builder)
methods
+* **Comparable Row Format**: [Much faster multi-column Sorting and
Grouping](https://arrow.apache.org/blog/2022/11/07/multi-column-sorts-in-arrow-rust-part-1/)
is now possible with the the new spillable, comparable
[row-format](https://docs.rs/arrow-row/32.0.0/arrow_row/index.html)
Review Comment:
```suggestion
* **Comparable Row Format**: [Much faster multi-column Sorting and
Grouping](https://arrow.apache.org/blog/2022/11/07/multi-column-sorts-in-arrow-rust-part-1/)
is now possible with the the new spillable, comparable
[row-format](https://docs.rs/arrow-row/32.0.0/arrow_row/index.html)
```
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