nealrichardson commented on code in PR #227:
URL: https://github.com/apache/arrow-site/pull/227#discussion_r936622887
##########
_posts/2022-08-01-9.0.0-release.md:
##########
@@ -0,0 +1,234 @@
+---
+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)).
Review Comment:
I think release blogs/changelogs are most effective when the highlights/most
significant changes come first. This is probably not the most important change
in the C++ library in this release.
##########
_posts/2022-08-01-9.0.0-release.md:
##########
@@ -0,0 +1,234 @@
+---
+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)).
+
+Temporal rounding functions received additional options to control how
+rounding is done
([ARROW-14821](https://issues.apache.org/jira/browse/ARROW-14821)).
+
+Improper computation of the "mode" function on boolean input was fixed
+([ARROW-17096](https://issues.apache.org/jira/browse/ARROW-17096)).
+
+Function registries can now be nested
([ARROW-16677](https://issues.apache.org/jira/browse/ARROW-16677)).
+
+### Dataset
+
+The `autogenerate_column_names` option for CSV reading is now handled correctly
+([ARROW-16436](https://issues.apache.org/jira/browse/ARROW-16436)).
+
+Fix `InMemoryDataset::ReplaceSchema` to actually replace the schema
+([ARROW-16085](https://issues.apache.org/jira/browse/ARROW-16085)).
+
+Fix `FilenamePartitioning` to properly support null values
([ARROW-16302](https://issues.apache.org/jira/browse/ARROW-16302)).
+
+### Filesystem
+
+A number of bugfixes and improvements were made to the Google Cloud Storage
+filesystem implementation
([ARROW-14892](https://issues.apache.org/jira/browse/ARROW-14892)).
+
+By default, the S3 filesystem implementation does not create or drop buckets
+anymore ([ARROW-15906](https://issues.apache.org/jira/browse/ARROW-15906)).
This is a compatibility-breaking change intended
+to prevent user errors from having potentially catastrophic consequences.
+Options have been added to restore the previous behavior if necessary.
+
+### Parquet
+
+The default Parquet version is now 2.4 for writing, enabling use of
+more recent logical types by default
([ARROW-12203](https://issues.apache.org/jira/browse/ARROW-12203)).
+
+Non-nullable fields are now handled correctly by the Parquet reader
+([ARROW-16116](https://issues.apache.org/jira/browse/ARROW-16116)).
+
+Reading encrypted files should now be thread-safe
([ARROW-14114](https://issues.apache.org/jira/browse/ARROW-14114)).
+
+Statistics equality now works correctly with minmax
([ARROW-16487](https://issues.apache.org/jira/browse/ARROW-16487)).
+
+The minimum Thrift version required for building is now 0.13
([ARROW-16721](https://issues.apache.org/jira/browse/ARROW-16721)).
+
+The Thrift deserialization limits can now be configured to accomodate for
+data files with very large metadata
([ARROW-16546](https://issues.apache.org/jira/browse/ARROW-16546)).
+
+### Substrait
+
+The Substrait spec has been updated to 0.6.0
([ARROW-16816](https://issues.apache.org/jira/browse/ARROW-16816)). In
addition, a
+larger subset of the Substrait specification is now supported
([ARROW-15587](https://issues.apache.org/jira/browse/ARROW-15587),
+[ARROW-15590](https://issues.apache.org/jira/browse/ARROW-15590), ARROW-15901,
ARROW-16657, ARROW-15591).
+
+## C# notes
+
+#### New Features
+
+* Added support for Add support for Time32Array and Time64Array
([ARROW-16660](https://github.com/apache/arrow/pull/13279))
+
+## Go notes
+
+### Security
+
+* Updated testify dependency to address CVE-2022-28948.
([ARROW-16759](https://issues.apache.org/jira/browse/ARROW-16759)) (This was
also backported to previous versions and released as patch versions v6.0.2,
v7.0.1, and v8.0.1)
+
+### Arrow
+
+#### New Features
+
+* Dictionary Scalars are now available
([ARROW-16323](https://issues.apache.org/jira/browse/ARROW-16323))
+* Introduced a DictionaryUnifier object along with functions for unifying
Chunked Arrays and Tables
([ARROW-16324](https://issues.apache.org/jira/browse/ARROW-16324))
+* New CSV examples added to documentation to demonstrate error handling
([ARROW-16450](https://issues.apache.org/jira/browse/ARROW-16450))
+* CSV Reader now supports arrow.TimestampType
([ARROW-16504](https://issues.apache.org/jira/browse/ARROW-16504))
+* JSON parsing for Temporal Types now allow passing numeric values in addition
to strings for parsing. Timezones will be properly parsed if they exist in the
string and a function was added to retrieve a time.Location object from a
TimestampType ([ARROW-16551](https://issues.apache.org/jira/browse/ARROW-16551))
+* New utilities added to decimal128 for rescaling and easy conversion to and
from float32/float64
([ARROW-16552](https://issues.apache.org/jira/browse/ARROW-16552))
+* Arrow DataType interface now has a LayoutMethod which returns the physical
layout of the given datatype such as the number of buffers, types, etc. This
matches the behavior of the layout() methods in C++ for data types.
([ARROW-16556](https://issues.apache.org/jira/browse/ARROW-16556))
+* Added a SliceBuffer function to the memory package to allow better re-using
of memory across buffer objects
([ARROW-16557](https://issues.apache.org/jira/browse/ARROW-16557))
+* Dictionary Arrays can now be concatenated using array.Concatenate
([ARROW-17095](https://issues.apache.org/jira/browse/ARROW-17095))
+
+#### Bug Fixes
+
+* ipc.FileReader now properly uses the memory.Allocator interface
([ARROW-16002](https://issues.apache.org/jira/browse/ARROW-16002))
+* Addressed issue with Integration tests between Go and Java
([ARROW-16441](https://issues.apache.org/jira/browse/ARROW-16441))
+* RecordBuilder.UnmarshalJSON now properly ignores extra unknown fields rather
than panic'ing
([ARROW-16456](https://issues.apache.org/jira/browse/ARROW-16456))
+* StructBuilder.UnmarshalJSON will no longer fail and panic when Nullable
fields are missing
([ARROW-16502](https://issues.apache.org/jira/browse/ARROW-16502))
+* ipc.Reader no longer silently accepts string columns with invalid offsets,
preventing unexpected panics later when writing or accessing the resulting
arrays. ([ARROW-16831](https://issues.apache.org/jira/browse/ARROW-16831))
+* Arrow CSV reader no longer clobbers its reported errors and properly
surfaces them ([ARROW-16926](https://issues.apache.org/jira/browse/ARROW-16926))
+
+### Parquet
+
+#### New Features
+
+* The CreatedBy version string for the Parquet writer will now correctly
reflect the library version, and will be updated by the release scripts
([ARROW-16484](https://issues.apache.org/jira/browse/ARROW-16484))
+* Parquet bit_packing functions now have ARM64 NEON implementations for
performance ([ARROW-16486](https://issues.apache.org/jira/browse/ARROW-16486))
+* It is now possible to customize the root node in the Parquet writer instead
of hardcoding it to be named "schema" with a repetition type of Repeated. This
was needed to allow producing files similar to spark where the root node has a
repetition type of Required. It still defaults to the spec definition of
Repeated. ([ARROW-16561](https://issues.apache.org/jira/browse/ARROW-16561))
+* parquet_reader CLI mainprog has been enhanced to dump values out as JSON and
CSV along with setting an output file instead of just dumping to the terminal.
([ARROW-16934](https://issues.apache.org/jira/browse/ARROW-16934))
+
+#### Bug Fixes
+
+* Fixed a memory leak with Parquet page reading
([ARROW-16473](https://issues.apache.org/jira/browse/ARROW-16473))
+* Parquet Reader properly parallelizes column reads when the parallel option
is set to true.
([ARROW-16530](https://issues.apache.org/jira/browse/ARROW-16530))
+* Fixed bug in the Bool decoder for plain encoding
([ARROW-16563](https://issues.apache.org/jira/browse/ARROW-16563))
+* Fixed a bug in the Parquet bool column reader where it failed to properly
skip rows ([ARROW-16638](https://issues.apache.org/jira/browse/ARROW-16638))
+* Fixed the flakey travis ARM64 builds by reducing the size of a test case in
the pqarrow unit tests to reduce the memory usage for the tests.
([ARROW-16669](https://issues.apache.org/jira/browse/ARROW-16669))
+* Parquet writer now properly handles writing arrow.NULL type arrays
([ARROW-16749](https://issues.apache.org/jira/browse/ARROW-16749))
+* Column level dictionary encoding configuration for Parquet writing now
correctly respects the input value
([ARROW-16813](https://issues.apache.org/jira/browse/ARROW-16813))
+* Memory leak in DeltaByteArray encoding fixed
([ARROW-16983](https://issues.apache.org/jira/browse/ARROW-16983))
+
+
+## Java notes
+#### New Features
+* Allow overriding column nullability in arrow-jdbc
([#13558](https://github.com/apache/arrow/pull/13558))
+* Enable skip BOUNDS_CHECKING with setBytes and getBytes of ArrowBuf
([#13161](https://github.com/apache/arrow/pull/13161))
+* Initialize JNI components on use instead of statically
([#13146](https://github.com/apache/arrow/pull/13146))
+* Provide explicit JDBC column type mapping
([#13166](https://github.com/apache/arrow/pull/13166))
+* Allow duplicated field names in Java C data interface
([#13247](https://github.com/apache/arrow/pull/13247))
+* Improve and document StackTrace
([#12656](https://github.com/apache/arrow/pull/12656))
+* Keep more context when marshaling errors through JNI
([#13246](https://github.com/apache/arrow/pull/13246))
+* Make RoundingMode configurable to handle inconsistent scale in BigDecimals
([#13433](https://github.com/apache/arrow/pull/13433))
+* Improve Java dev experience with IntelliJ
([#13017](https://github.com/apache/arrow/pull/13017))
+* Implement ArrowArrayStream
([#13465](https://github.com/apache/arrow/pull/13465)))
+
+#### Bug Fixes
+* Fix variable-width vectors in integration JSON writer
([#13676](https://github.com/apache/arrow/pull/13676))
+* Handle empty JDBC ResultSet
([#13049](https://github.com/apache/arrow/pull/13049))
+* Fix hasNext() in ArrowVectorIterator
([#13107](https://github.com/apache/arrow/pull/13107))
+* Fix ArrayConsumer when using ArrowVectorIterator
([#12692](https://github.com/apache/arrow/pull/12692))
+* Update Gandiva Protobuf library to enable builds on Apple M1
([#13121](https://github.com/apache/arrow/pull/13121))
+* Patch dataset module testing failure with JSE11+
([#13200](https://github.com/apache/arrow/pull/13200))
+* Don't duplicate generated Protobuf classes between flight-core and
flight-sql ([#13596](https://github.com/apache/arrow/pull/13596))
+## JavaScript notes
+
+* [ARROW-16371: [JS] Fix error iterating tables with no
batches](https://github.com/apache/arrow/pull/13287)
+* [ARROW-16704: [JS] Handle case where `tableFromIPC` input is an async
`RecordBatchReader`](https://github.com/apache/arrow/pull/13278)
+
+## Python notes
+
+## R notes
+
+For more on what’s in the 9.0.0 R package, see the [R changelog][4].
Review Comment:
```suggestion
Highlights include several new `dplyr` verbs, including `glimpse()` and
`union_all()`, as well as many more datetime functions from `lubridate`. There
is also experimental support for user-defined scalar functions in the query
engine, and most packages include native support for datasets in Google Cloud
Storage (opt-in in the Linux full source build).
For more on what’s in the 9.0.0 R package, see the [R changelog][4].
```
##########
_posts/2022-08-01-9.0.0-release.md:
##########
@@ -0,0 +1,234 @@
+---
+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)).
+
+Temporal rounding functions received additional options to control how
+rounding is done
([ARROW-14821](https://issues.apache.org/jira/browse/ARROW-14821)).
+
+Improper computation of the "mode" function on boolean input was fixed
+([ARROW-17096](https://issues.apache.org/jira/browse/ARROW-17096)).
+
+Function registries can now be nested
([ARROW-16677](https://issues.apache.org/jira/browse/ARROW-16677)).
+
+### Dataset
+
+The `autogenerate_column_names` option for CSV reading is now handled correctly
+([ARROW-16436](https://issues.apache.org/jira/browse/ARROW-16436)).
+
+Fix `InMemoryDataset::ReplaceSchema` to actually replace the schema
+([ARROW-16085](https://issues.apache.org/jira/browse/ARROW-16085)).
+
+Fix `FilenamePartitioning` to properly support null values
([ARROW-16302](https://issues.apache.org/jira/browse/ARROW-16302)).
+
+### Filesystem
+
+A number of bugfixes and improvements were made to the Google Cloud Storage
+filesystem implementation
([ARROW-14892](https://issues.apache.org/jira/browse/ARROW-14892)).
+
+By default, the S3 filesystem implementation does not create or drop buckets
+anymore ([ARROW-15906](https://issues.apache.org/jira/browse/ARROW-15906)).
This is a compatibility-breaking change intended
+to prevent user errors from having potentially catastrophic consequences.
+Options have been added to restore the previous behavior if necessary.
+
+### Parquet
+
+The default Parquet version is now 2.4 for writing, enabling use of
+more recent logical types by default
([ARROW-12203](https://issues.apache.org/jira/browse/ARROW-12203)).
+
+Non-nullable fields are now handled correctly by the Parquet reader
+([ARROW-16116](https://issues.apache.org/jira/browse/ARROW-16116)).
+
+Reading encrypted files should now be thread-safe
([ARROW-14114](https://issues.apache.org/jira/browse/ARROW-14114)).
+
+Statistics equality now works correctly with minmax
([ARROW-16487](https://issues.apache.org/jira/browse/ARROW-16487)).
+
+The minimum Thrift version required for building is now 0.13
([ARROW-16721](https://issues.apache.org/jira/browse/ARROW-16721)).
+
+The Thrift deserialization limits can now be configured to accomodate for
+data files with very large metadata
([ARROW-16546](https://issues.apache.org/jira/browse/ARROW-16546)).
+
+### Substrait
+
+The Substrait spec has been updated to 0.6.0
([ARROW-16816](https://issues.apache.org/jira/browse/ARROW-16816)). In
addition, a
+larger subset of the Substrait specification is now supported
([ARROW-15587](https://issues.apache.org/jira/browse/ARROW-15587),
+[ARROW-15590](https://issues.apache.org/jira/browse/ARROW-15590), ARROW-15901,
ARROW-16657, ARROW-15591).
+
+## C# notes
+
+#### New Features
+
Review Comment:
```suggestion
```
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
