andygrove commented on code in PR #78:
URL: https://github.com/apache/datafusion-site/pull/78#discussion_r2185674170
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content/blog/2025-07-01-datafusion-comet-0.9.0.md:
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@@ -0,0 +1,176 @@
+---
+layout: post
+title: Apache DataFusion Comet 0.9.0 Release
+date: 2025-07-01
+author: pmc
+categories: [subprojects]
+---
+
+<!--
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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
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+{% endcomment %}
+-->
+
+The Apache DataFusion PMC is pleased to announce version 0.9.0 of the
[Comet](https://datafusion.apache.org/comet/) subproject.
+
+Comet is an accelerator for Apache Spark that translates Spark physical plans
to DataFusion physical plans for
+improved performance and efficiency without requiring any code changes.
+
+This release covers approximately ten weeks of development work and is the
result of merging 139 PRs from 24
+contributors. See the [change log] for more information.
+
+[change log]:
https://github.com/apache/datafusion-comet/blob/main/dev/changelog/0.9.0.md
+
+## Release Highlights
+
+### Complex Type Support in Parquet Scans
+
+Comet now supports complex types (Structs, Maps, and Arrays) when reading
Parquet files. This functionality is not
+yet available when reading Parquet files from Apache Iceberg.
+
+This functionality was only available in previous releases when manually
specifying one of the new experimental
+scan implementations. Comet now automatically chooses the best scan
implementation based on the input schema, and no
+longer requires manual configuration.
+
+### Complex Type Processing Improvements
+
+Numerous improvements have been made to complex type support to ensure
Spark-compatible behavior when casting between
+structs and accessing fields within deeply nested types.
+
+### Shuffle Improvements
+
+Comet now accelerates a broader range of shuffle operations, leading to more
queries running fully natively. In
+previous releases, some shuffle operations fell back to Spark to avoid some
known bugs in Comet, and these bugs have
+now been fixed.
+
+### New Features
+
+Comet 0.9.0 adds support for the following Spark expressions:
+
+- ArrayDistinct
+- ArrayMax
+- ArrayRepeat
+- ArrayUnion
+- BitCount
+- BitNot
+- Expm1
+- MapValues
+- Signum
+- ToPrettyString
+- map[]
+
+### Improved Spark SQL Test Coverage
+
+Comet now passes 97% of the Spark SQL test suite, with more than 24,000 tests
passing (based on testing against
Review Comment:
I have rewritten this section to clarify that the remaining 3% of tests are
not ignored due to compatibility issues.
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