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| <h1> |
| A Native Go Library for Apache Arrow |
| </h1> |
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| <span class="badge badge-secondary">Published</span> |
| <span class="published mr-3"> |
| 22 Mar 2018 |
| </span> |
| <br> |
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| <a class="mr-3" href="https://arrow.apache.org">The Apache Arrow PMC (pmc) </a> |
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| |
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| <!-- |
| |
| --> |
| <p>Since launching in early 2016, Apache Arrow has been growing fast. We have made |
| nine major releases through the efforts of over 120 distinct contributors. The |
| project’s scope has also expanded. We began by focusing on the development of |
| the standardized in-memory columnar data format, which now serves as a pillar |
| of the project. Since then, we have been growing into a more general |
| cross-language platform for in-memory data analysis through new additions to |
| the project like the <a href="http://arrow.apache.org/blog/2017/08/16/0.6.0-release/">Plasma shared memory object store</a>. A primary goal of |
| the project is to enable data system developers to process and move data fast.</p> |
| <p>So far, we officially have developed native Arrow implementations in C++, Java, |
| and JavaScript. We have created binding layers for the C++ libraries in C |
| (using the GLib libraries) and Python. We have also seen efforts to develop |
| interfaces to the Arrow C++ libraries in Go, Lua, Ruby, and Rust. While binding |
| layers serve many purposes, there can be benefits to native implementations, |
| and so we’ve been keen to see future work on native implementations in growing |
| systems languages like Go and Rust.</p> |
| <p>This past October, engineers <a href="https://github.com/stuartcarnie" target="_blank" rel="noopener">Stuart Carnie</a>, <a href="https://github.com/nathanielc" target="_blank" rel="noopener">Nathaniel Cook</a>, and |
| <a href="https://github.com/goller" target="_blank" rel="noopener">Chris Goller</a>, employees of <a href="https://influxdata.com" target="_blank" rel="noopener">InfluxData</a>, began developing a native [Go |
| language implementation of the <a href="https://github.com/influxdata/arrow" target="_blank" rel="noopener">Apache Arrow</a> in-memory columnar format for |
| use in Go-based database systems like InfluxDB. We are excited to announce that |
| InfluxData has <a href="https://www.businesswire.com/news/home/20180322005393/en/InfluxData-Announces-Language-Implementation-Contribution-Apache-Arrow" target="_blank" rel="noopener">donated this native Go implementation to the Apache Arrow |
| project</a>, where it will continue to be developed. This work features |
| low-level integration with the Go runtime and native support for SIMD |
| instruction sets. We are looking forward to working more closely with the Go |
| community on solving in-memory analytics and data interoperability problems.</p> |
| <div align="center"> |
| <img src="/img/native_go_implementation.png" alt="Apache Arrow implementations and bindings" width="60%" class="img-responsive"> |
| </div> |
| <p>One of the mantras in <a href="https://www.apache.org" target="_blank" rel="noopener">The Apache Software Foundation</a> is "Community over |
| Code". By building an open and collaborative development community across many |
| programming language ecosystems, we will be able to development better and |
| longer-lived solutions to the systems problems faced by data developers.</p> |
| <p>We are excited for what the future holds for the Apache Arrow project. Adding |
| first-class support for a popular systems programming language like Go is an |
| important step along the way. We welcome others from the Go community to get |
| involved in the project. We also welcome others who wish to explore building |
| Arrow support for other programming languages not yet represented. Learn more |
| at <a href="https://arrow.apache.org">https://arrow.apache.org</a> and join the mailing list |
| <a href="https://lists.apache.org/list.html?dev@arrow.apache.org" target="_blank" rel="noopener">dev@arrow.apache.org</a>.</p> |
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| </footer> |
| |
| </div> |
| </body> |
| </html> |
