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diff --git a/site/releases/spark-release-0-8-0.html b/site/releases/spark-release-0-8-0.html index d284729d9..79ef89e9d 100644 --- a/site/releases/spark-release-0-8-0.html +++ b/site/releases/spark-release-0-8-0.html @@ -112,7 +112,7 @@ <p>Spark 0.8.0 is a major release that includes many new capabilities and usability improvements. It’s also our first release under the Apache incubator. It is the largest Spark release yet, with contributions from 67 developers and 24 companies.</p> -<p>You can download Spark 0.8.0 as either a <a href="http://spark-project.org/download/spark-0.8.0-incubating.tgz">source package</a> (4 MB tar.gz) or a prebuilt pacakge for <a href="http://spark-project.org/download/spark-0.8.0-incubating-bin-hadoop1.tgz">Hadoop 1 / CDH3</a> or <a href="http://spark-project.org/download/spark-0.8.0-incubating-bin-cdh4.tgz">CDH4</a> (125 MB tar.gz). Download signatures and checksums are available at the official <a href="http://www.apache.org/dist/incubator/spark/spark-0.8.0-incubating/">Apache download site</a>.</p> +<p>You can download Spark 0.8.0 as either a <a href="http://spark-project.org/download/spark-0.8.0-incubating.tgz">source package</a> (4 MB tar.gz) or a prebuilt pacakge for <a href="http://spark-project.org/download/spark-0.8.0-incubating-bin-hadoop1.tgz">Hadoop 1 / CDH3</a> or <a href="http://spark-project.org/download/spark-0.8.0-incubating-bin-cdh4.tgz">CDH4</a> (125 MB tar.gz). Release signatures and checksums are available at the official <a href="http://www.apache.org/dist/incubator/spark/spark-0.8.0-incubating/">Apache download site</a>.</p> <h3 id="monitoring-ui-and-metrics">Monitoring UI and Metrics</h3> <p>Spark now displays a variety of monitoring data in a web UI (by default at port 4040 on the driver node). A new job dashboard contains information about running, succeeded, and failed jobs, including percentile statistics covering task runtime, shuffled data, and garbage collection. The existing storage dashboard has been extended, and additional pages have been added to display total storage and task information per-executor. Finally, a new metrics library exposes internal Spark metrics through various API’s including JMX and Ganglia.</p> |