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agrove pushed a commit to branch site/comet-0.10.0
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commit caef50837ac5a3630b212825f6f2f9b81aa06721
Author: Andy Grove <agr...@apache.org>
AuthorDate: Sat Sep 13 11:27:57 2025 -0600
Add Comet 0.10.0 blog post draft
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+---
+layout: post
+title: Apache DataFusion Comet 0.9.0 Release
+date: 2025-07-01
+author: pmc
+categories: [subprojects]
+---
+
+<!--
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+
+http://www.apache.org/licenses/LICENSE-2.0
+
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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 0.10.0 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 183 PRs from 26
+contributors. See the [change log] for more information.
+
+[change log]:
https://github.com/apache/datafusion-comet/blob/main/dev/changelog/0.10.0.md
+
+## Release Highlights
+
+### Improved Support for Apache Iceberg
+
+It is now possible to use Comet with Apache Iceberg 1.8.1 to accelerate reads
of Iceberg Parquet tables.
+
+### Improved Spark 4.0.0 Support
+
+Comet no longer falls back to Spark for all queries when ANSI mode is enabled
(which is the default in Spark 4.0.0).
+Instead, Comet will now only fall back to Spark for arithmetic and aggregates
expressions that support ANSI mode.
+
+Setting `spark.comet.ansi.ignore=true` will override this behavior and force
these expressions to continue to be
+accelerated by Comet.
+
+Comet will now use the `native_iceberg_compat` scan for Spark 4.0.0 in most
cases, which supports reading complex types.
+
+### New Functionality
+
+- New Scalar Functions
+ - `array_min`
+ - `map_entries`
+ - `map_from_array`
+ - `randn`
+ - `from_unixtime`
+- Support for array literals
+- Support for `monotonically_increasing_id` and `spark_partition_id`
+- Support for limit with offset
+- Support for `try_add`, `try_divide`, `try_mod`, `try_multiply`,
`try_subtract`
+
+### UX Improvements
+
+- Improved reporting of reasons why Comet cannot accelerate some operators and
expressions
+- New config for logging all fallback reasons
+- CometScan nodes in physical plan now show which scan implementation is being
used
+
+### Bug Fixes
+
+- Improved memory safety for FFI transfers
+- Fixed a double-free issue in the shuffle unified memory pool
+- Non zero offset FFI issue
+- HDFS buffer read issue
+- Benchmarking
+
+Benchmarking scripts for benchmarks based on TPC-H and TPS-DS are now
available in the repository under `dev/benchmarks`.
+
+### Documentation Updates
+
+- Lists of supported operators and expressions is more complete, and
Spark-compatibility status per operator/expression is now documented.
+- New Roadap section
+- New guide comparing Comet with Apache Gluten (incubating) + Velox
+- User guides are now available for multiple Comet versions
+
+### Spark Compatibility
+
+- Spark 3.4.3 with JDK 11 & 17, Scala 2.12 & 2.13
+- Spark 3.5.4 through 3.5.6 with JDK 11 & 17, Scala 2.12 & 2.13
+- Experimental support for Spark 4.0.0 with JDK 17, Scala 2.13
+
+We are looking for help from the community to fully support Spark 4.0.0. See
[EPIC: Support 4.0.0] for more information.
+
+[EPIC: Support 4.0.0]: https://github.com/apache/datafusion-comet/issues/1637
+
+## Getting Involved
+
+The Comet project welcomes new contributors. We use the same [Slack and
Discord] channels as the main DataFusion
+project and have a weekly [DataFusion video call].
+
+[Slack and Discord]:
https://datafusion.apache.org/contributor-guide/communication.html#slack-and-discord
+[DataFusion video call]:
https://docs.google.com/document/d/1NBpkIAuU7O9h8Br5CbFksDhX-L9TyO9wmGLPMe0Plc8/edit?usp=sharing
+
+The easiest way to get involved is to test Comet with your current Spark jobs
and file issues for any bugs or
+performance regressions that you find. See the [Getting Started] guide for
instructions on downloading and installing
+Comet.
+
+[Getting Started]:
https://datafusion.apache.org/comet/user-guide/installation.html
+
+There are also many [good first issues] waiting for contributions.
+
+[good first issues]: https://github.com/apache/datafusion-comet/contribute
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