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Diffstat (limited to 'site/releases/spark-release-1-4-0.html')
| -rw-r--r-- | site/releases/spark-release-1-4-0.html | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/site/releases/spark-release-1-4-0.html b/site/releases/spark-release-1-4-0.html index fc02b6fbe..f76cf9f25 100644 --- a/site/releases/spark-release-1-4-0.html +++ b/site/releases/spark-release-1-4-0.html @@ -150,6 +150,9 @@ <h5>Latest News</h5> <ul class="list-unstyled"> + <li><a href="/news/spark-1-6-3-released.html">Spark 1.6.3 released</a> + <span class="small">(Nov 07, 2016)</span></li> + <li><a href="/news/spark-2-0-1-released.html">Spark 2.0.1 released</a> <span class="small">(Oct 03, 2016)</span></li> @@ -159,9 +162,6 @@ <li><a href="/news/spark-1-6-2-released.html">Spark 1.6.2 released</a> <span class="small">(Jun 25, 2016)</span></li> - <li><a href="/news/submit-talks-to-spark-summit-eu-2016.html">Call for Presentations for Spark Summit EU is Open</a> - <span class="small">(Jun 16, 2016)</span></li> - </ul> <p class="small" style="text-align: right;"><a href="/news/index.html">Archive</a></p> </div> @@ -250,7 +250,7 @@ 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> @@ -276,7 +276,7 @@ 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> |