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authorPatrick Wendell <pwendell@apache.org>2014-09-12 00:10:00 +0000
committerPatrick Wendell <pwendell@apache.org>2014-09-12 00:10:00 +0000
commitddf743b7cdfd7186610bd51606880bdce6897282 (patch)
treee7ec0769183e74ac2fed051ce34eb67975d36ed3 /news
parentc965641b103e79ddfeba87c52dc22c05ac92acf6 (diff)
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More 1.1 typo fixes
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-rw-r--r--news/_posts/2014-09-11-spark-1-1-0-released.md2
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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
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--- a/news/_posts/2014-09-11-spark-1-1-0-released.md
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@@ -11,7 +11,7 @@ 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 on the 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 171 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. 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 features 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.