ianmcook commented on code in PR #227:
URL: https://github.com/apache/arrow-site/pull/227#discussion_r937965580
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_posts/2022-08-01-9.0.0-release.md:
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+---
+layout: post
+title: "Apache Arrow 9.0.0 Release"
+date: "2022-08-01 00:00:00"
+author: pmc
+categories: [release]
+---
+<!--
+{% comment %}
+Licensed to the Apache Software Foundation (ASF) under one or more
+contributor license agreements. See the NOTICE file distributed with
+this work for additional information regarding copyright ownership.
+The ASF licenses this file to you under the Apache License, Version 2.0
+(the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+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 %}
+-->
+
+
+The Apache Arrow team is pleased to announce the 9.0.0 release. This covers
+over 3 months of development work and includes [**473 resolved issues**][1]
+from [**YYY distinct contributors**][2]. See the Install Page to learn how to
+get the libraries for your platform.
+
+The release notes below are not exhaustive and only expose selected highlights
+of the release. Many other bugfixes and improvements have been made: we refer
+you to the [complete changelog][3].
+
+## Community
+
+Since the 8.0.0 release, Dewey Dunnington, Alenka Frim and Rok Mihevc
+have been invited to be committers.
+Thanks for your contributions and participation in the project!
+
+## Columnar Format Notes
+
+## Arrow Flight RPC notes
+
+Arrow Flight is now available in MacOS M1 Python wheels
([ARROW-16779](https://issues.apache.org/jira/browse/ARROW-16779)).
+Arrow Flight SQL is now buildable on Windows
([ARROW-16902](https://issues.apache.org/jira/browse/ARROW-16902)).
+Ruby now exposes more of the Flight and Flight SQL APIs (various JIRAs).
+
+## C++ notes
+
+STL-like iteration is now provided over chunked arrays
([ARROW-602](https://issues.apache.org/jira/browse/ARROW-602)).
+
+### Compute
+
+The C++ compute and execution engine is now officially named "Acero", though
+its C++ namespaces have not changed.
+
+New light-weight data holder abstractions have been introduced in order
+to reduce the overhead of invoking compute functions and kernels, especially
+at the small data sizes desirable for efficient parallelization (typically
+L1- or L2-sized). Specifically, the non-owning `ArraySpan` and `ExecSpan`
+structures have internally superseded the much heavier `ExecBatch`, which
+is still supported for compatibility at the API level
+([ARROW-16756](https://issues.apache.org/jira/browse/ARROW-16756),
[ARROW-16824](https://issues.apache.org/jira/browse/ARROW-16824),
[ARROW-16852](https://issues.apache.org/jira/browse/ARROW-16852)).
+
+In a similar vein, the `ValueDescr` class was removed and `ScalarKernel`
+implementations now always receive at least one non-scalar input, removing
+the special case where a `ScalarKernel` needs to output a scalar rather than
+an array. The higher-level compute APIs still allow executing a scalar function
+over all-scalar inputs; but those scalars are internally broadcasted to
+1-element arrays so as to simplify kernel implementation
([ARROW-16757](https://issues.apache.org/jira/browse/ARROW-16757)).
+
+Timestamp comparison is now supported
([ARROW-16425](https://issues.apache.org/jira/browse/ARROW-16425)).
+
+A cumulative sum function is implemented over numeric inputs
([ARROW-13530](https://issues.apache.org/jira/browse/ARROW-13530)).
Review Comment:
@westonpace can the cumulative sum function be used in an ExecPlan? I think
no, because the order of ExecBatches is not guaranteed. What happens if someone
tries to use this in an ExecPlan? Will it fail or will it execute and possibly
return results out of order?
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