时事通讯

通过电子邮件获得 Hortonworks 的最新更新

每月一次,接收最新的洞察力、趋势、分析信息和大数据的知识。

AVAILABLE NEWSLETTERS:

Sign up for the Developers Newsletter

每月一次,接收最新的洞察力、趋势、分析信息和大数据的知识。

CTA

开始

云

是否已准备就绪?

下载 sandbox

我们能为您做什么?

* 我了解我可以随时取消预订。我也承认在 Hortonworks 隐私政策中发现的更多信息。
关闭关闭按钮
April 09, 2018
上一张幻灯片下一张幻灯片

Apache Hadoop 3.1.0 released. And a look back!

This is the 3rd blog of the Hadoop Blog series (part 1part 2, part 4part 5). In this blog, we provide a high-level overview on the release of Apache Hadoop 3.1.

The Apache Hadoop community just announced the release of Apache Hadoop 3.1.0! This is the next big milestone in the Apache Hadoop 3.x line, the first one being the 3.0.0 release back in December 2017. It’s a significant release for many readers of this blog who are on the Apache Hadoop 2.x series.

Important notes from the announcement:

This release is *not* yet ready for production use. Critical issues are being ironed out via testing and downstream adoption. Production users should wait for a 3.1.1/3.1.2 release.

The Hadoop community fixed 768 JIRAs (https://s.apache.org/apache-hadoop-3.1.0-all-tickets) in total as part of the 3.1.0 release. Of these fixes:
– 141 in Hadoop Common
– 266 in HDFS
– 329 in YARN
– 32 in MapReduce
Apache Hadoop 3.1.0 contains a number of significant features and enhancements.

A few of them are noted below.

Hadoop Common
HADOOP-14831 / HADOOP-14531 / HADOOP-14825 / HADOOP-14325. S3/S3A/S3Guard related improvements.
Hadoop HDFS
HDFS-9806 – HDFS block replicas to be provided by an external storage system
Hadoop YARN
YARN-6223. First class GPU support on YARN
YARN-5983. First class FPGA support on YARN
YARN-5079 / YARN-4793 / YARN-4757 / YARN-6419. YARN native service support
YARN-6592. Rich placement constraints in YARN
YARN-5881. Enable configuration of queue capacity in terms of absolute resources for Capacity Scheduler.
YARN-7117. Capacity Scheduler: Support auto-creation of leaf queues while doing queue mapping

A quick look back

We wanted to use this opportunity to also look back a bit and analyze how the Hadoop code-base changed over time and across recent releases. The following charts show some of the statistics.

Note that in some cases, we picked 2.8.3 as the base-line 2.x release since that is likely the closest 2.x release that enjoys the most installation footprint around the world.

Source code stats1

 

Distributions of number of resolved JIRAs (since 3.0.0) by contributors

As with previous releases, we see a very large number of contributors all coming together to make this release happen, and a clearly long tail. A great community story!

We want to express our gratitude to every contributor, every reviewer and committer who participated in this release! And congratulations, Apache Hadoop community!

Learn more about Hadoop 3:

 

[1] Patches from 2.8.3 to 3.1.0: project in (“Hadoop Common”) AND fixVersion in (3.1.0, 2.9.0, 3.0.0, 3.0.0-beta1, 3.0.1, 3.0.0-alpha, 3.0.0-alpha1, 3.0.0-alpha2, 3.0.0-alpha3, 3.0.0-alpha4) AND fixVersion not in (2.8.3, 2.8.2, 2.8.1, 2.7.2, 2.6.1, 2.7.1, 2.6.0, 2.7.0, 2.8.0) AND resolution in (Fixed, Done) ORDER BY fixVersion ASC

撰写回复

您的电子邮件地址将不会被公布。必填字段标记了 *

If you have specific technical questions, please post them in the Forums