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ARROW-1353: [Website] Update website for 0.6.0 release and add short …
…release blog post Author: Wes McKinney <[email protected]> Closes apache#967 from wesm/ARROW-1353 and squashes the following commits: 804fe35 [Wes McKinney] Escape underscores in CHANGELOG.md 1b7c4b6 [Wes McKinney] Finish 0.6.0 blog post a78cb94 [Wes McKinney] Some updates for 0.6.0 site update
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| --- | ||
| layout: post | ||
| title: "Apache Arrow 0.6.0 Release" | ||
| date: "2017-08-16 00:00:00 -0400" | ||
| author: wesm | ||
| 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 0.6.0 release. It includes | ||
| [**90 resolved JIRAs**][1] with the new Plasma shared memory object store, and | ||
| improvements and bug fixes to the various language implementations. The Arrow | ||
| memory format remains stable since the 0.3.x release. | ||
|
|
||
| See the [Install Page][2] to learn how to get the libraries for your | ||
| platform. The [complete changelog][5] is also available. | ||
|
|
||
| ## Plasma Shared Memory Object Store | ||
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|
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| This release includes the [Plasma Store][7], which you can read more about in | ||
| the linked blog post. This system was originally developed as part of the [Ray | ||
| Project][8] at the [UC Berkeley RISELab][9]. We recognized that Plasma would be | ||
| highly valuable to the Arrow community as a tool for shared memory management | ||
| and zero-copy deserialization. Additionally, we believe we will be able to | ||
| develop a stronger software stack through sharing of IO and buffer management | ||
| code. | ||
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||
| The Plasma store is a server application which runs as a separate process. A | ||
| reference C++ client, with Python bindings, is made available in this | ||
| release. Clients can be developed in Java or other languages in the future to | ||
| enable simple sharing of complex datasets through shared memory. | ||
|
|
||
| ## Arrow Format Addition: Map type | ||
|
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| We added a Map logical type to represent ordered and unordered maps | ||
| in-memory. This corresponds to the `MAP` logical type annotation in the Parquet | ||
| format (where maps are represented as repeated structs). | ||
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| Map is represented as a list of structs. It is the first example of a logical | ||
| type whose physical representation is a nested type. We have not yet created | ||
| implementations of Map containers in any of the implementations, but this can | ||
| be done in a future release. | ||
|
|
||
| As an example, the Python data: | ||
|
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||
| ``` | ||
| data = [{'a': 1, 'bb': 2, 'cc': 3}, {'dddd': 4}] | ||
| ``` | ||
|
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| Could be represented in an Arrow `Map<String, Int32>` as: | ||
|
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||
| ``` | ||
| Map<String, Int32> = List<Struct<keys: String, values: Int32>> | ||
| is_valid: [true, true] | ||
| offsets: [0, 3, 4] | ||
| values: Struct<keys: String, values: Int32> | ||
| children: | ||
| - keys: String | ||
| is_valid: [true, true, true, true] | ||
| offsets: [0, 1, 3, 5, 9] | ||
| data: abbccdddd | ||
| - values: Int32 | ||
| is_valid: [true, true, true, true] | ||
| data: [1, 2, 3, 4] | ||
| ``` | ||
| ## Python Changes | ||
|
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| Some highlights of Python development outside of bug fixes and general API | ||
| improvements include: | ||
|
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| * New `strings_to_categorical=True` option when calling `Table.to_pandas` will | ||
| yield pandas `Categorical` types from Arrow binary and string columns | ||
| * Expanded Hadoop Filesystem (HDFS) functionality to improve compatibility with | ||
| Dask and other HDFS-aware Python libraries. | ||
| * s3fs and other Dask-oriented filesystems can now be used with | ||
| `pyarrow.parquet.ParquetDataset` | ||
| * More graceful handling of pandas's nanosecond timestamps when writing to | ||
| Parquet format. You can now pass `coerce_timestamps='ms'` to cast to | ||
| milliseconds, or `'us'` for microseconds. | ||
|
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| ## Toward Arrow 1.0.0 and Beyond | ||
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| We are still discussing the roadmap to 1.0.0 release on the [developer mailing | ||
| list][6]. The focus of the 1.0.0 release will likely be memory format stability | ||
| and hardening integration tests across the remaining data types implemented in | ||
| Java and C++. Please join the discussion there. | ||
|
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||
| [1]: https://issues.apache.org/jira/issues/?jql=project%20%3D%20ARROW%20AND%20status%20in%20(Resolved%2C%20Closed)%20AND%20fixVersion%20%3D%200.6.0 | ||
| [2]: http://arrow.apache.org/install | ||
| [3]: http://github.com/apache/parquet-cpp | ||
| [5]: http://arrow.apache.org/release/0.6.0.html | ||
| [6]: http://mail-archives.apache.org/mod_mbox/arrow-dev/ | ||
| [7]: http://arrow.apache.org/blog/2017/08/08/plasma-in-memory-object-store/ | ||
| [8]: https://ray-project.github.io/ray/ | ||
| [9]: https://rise.cs.berkeley.edu/ |
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