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author | Patrick Wendell <pwendell@apache.org> | 2014-09-12 00:01:09 +0000 |
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committer | Patrick Wendell <pwendell@apache.org> | 2014-09-12 00:01:09 +0000 |
commit | ffd76ef6ab0fd44d22877110dea04196462042e2 (patch) | |
tree | 4e5218a6cb4504639f8afb260b81092fe71ae3cd /news | |
parent | 8aa58ad9cc358489f09024ffe0296ced3518431c (diff) | |
download | spark-website-ffd76ef6ab0fd44d22877110dea04196462042e2.tar.gz spark-website-ffd76ef6ab0fd44d22877110dea04196462042e2.tar.bz2 spark-website-ffd76ef6ab0fd44d22877110dea04196462042e2.zip |
Minor typo's in the release post
Diffstat (limited to 'news')
-rw-r--r-- | news/_posts/2014-09-11-spark-1-1-0-released.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/news/_posts/2014-09-11-spark-1-1-0-released.md b/news/_posts/2014-09-11-spark-1-1-0-released.md index 593d3659a..b9dfd5423 100644 --- a/news/_posts/2014-09-11-spark-1-1-0-released.md +++ b/news/_posts/2014-09-11-spark-1-1-0-released.md @@ -11,8 +11,8 @@ meta: _edit_last: '4' _wpas_done_all: '1' --- -We are happy to announce the availability of <a href="{{site.url}}releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release in API-compatible 1.X line. It is Spark's largest release ever, with contributions from 173 developers. +We are happy to announce the availability of <a href="{{site.url}}releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release on the API-compatible 1.X line. It is Spark's largest release ever, with contributions from 173 developers! -This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. This adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, and other feature and performance improvements. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Spark’s Python support and adds new components to the Spark Streaming module. +This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. Spark 1.1 adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, JSON support, and other feature and optimizations. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Spark’s Python support and adds new components to the Spark Streaming module. Visit the <a href="{{site.url}}releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">release notes</a> to read about the new features, or <a href="{{site.url}}downloads.html">download</a> the release today. |