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authorReynold Xin <rxin@apache.org>2015-11-10 16:44:07 +0000
committerReynold Xin <rxin@apache.org>2015-11-10 16:44:07 +0000
commit8f3baa79b612ef67c9e938ff3891474ae10b1c5f (patch)
tree157c38ad2983c6404bb52a94d63322089ed51dcd /site/releases/spark-release-1-4-0.html
parent86ac2008a4bbc556bb94916216092d9e51f622e6 (diff)
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1.5.2 release
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diff --git a/site/releases/spark-release-1-4-0.html b/site/releases/spark-release-1-4-0.html
index 654f8b6ce..c14d3c4bb 100644
--- a/site/releases/spark-release-1-4-0.html
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@@ -134,6 +134,9 @@
<h5>Latest News</h5>
<ul class="list-unstyled">
+ <li><a href="/news/spark-1-5-2-released.html">Spark 1.5.2 released</a>
+ <span class="small">(Nov 09, 2015)</span></li>
+
<li><a href="/news/submit-talks-to-spark-summit-east-2016.html">Submission is open for Spark Summit East 2016</a>
<span class="small">(Oct 14, 2015)</span></li>
@@ -143,9 +146,6 @@
<li><a href="/news/spark-1-5-0-released.html">Spark 1.5.0 released</a>
<span class="small">(Sep 09, 2015)</span></li>
- <li><a href="/news/spark-summit-europe-agenda-posted.html">Spark Summit Europe agenda posted</a>
- <span class="small">(Sep 07, 2015)</span></li>
-
</ul>
<p class="small" style="text-align: right;"><a href="/news/index.html">Archive</a></p>
</div>
@@ -234,7 +234,7 @@ Python coverage. MLlib also adds several new algorithms.</p>
</ul>
<h3 id="spark-streaming">Spark Streaming</h3>
-<p>Spark streaming adds visual instrumentation graphs and significantly improved debugging information in the UI. It also enhances support for both Kafka and Kinesis. </p>
+<p>Spark streaming adds visual instrumentation graphs and significantly improved debugging information in the UI. It also enhances support for both Kafka and Kinesis.</p>
<ul>
<li><a href="https://issues.apache.org/jira/browse/SPARK-7602">SPARK-7602</a>: Visualization and monitoring in the streaming UI including batch drill down (<a href="https://issues.apache.org/jira/browse/SPARK-6796">SPARK-6796</a>, <a href="https://issues.apache.org/jira/browse/SPARK-6862">SPARK-6862</a>)</li>
@@ -260,7 +260,7 @@ Python coverage. MLlib also adds several new algorithms.</p>
<h4 id="test-partners">Test Partners</h4>
-<p>Thanks to The following organizations, who helped benchmark or integration test release candidates: <br /> Intel, Palantir, Cloudera, Mesosphere, Huawei, Shopify, Netflix, Yahoo, UC Berkeley and Databricks. </p>
+<p>Thanks to The following organizations, who helped benchmark or integration test release candidates: <br /> Intel, Palantir, Cloudera, Mesosphere, Huawei, Shopify, Netflix, Yahoo, UC Berkeley and Databricks.</p>
<h4 id="contributors">Contributors</h4>
<ul>