This is an automated email from the ASF dual-hosted git repository. git-site-role pushed a commit to branch asf-staging in repository https://gitbox.apache.org/repos/asf/accumulo-website.git
The following commit(s) were added to refs/heads/asf-staging by this push: new 2cb7394 Automatic Site Publish by Buildbot 2cb7394 is described below commit 2cb73942aea1500061accb23aa69fcaf9a22cf6d Author: buildbot <us...@infra.apache.org> AuthorDate: Fri Feb 28 12:48:06 2020 +0000 Automatic Site Publish by Buildbot --- output/blog/2020/02/26/accumulo-spark-connector.html | 2 +- output/feed.xml | 6 +++--- output/search_data.json | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/output/blog/2020/02/26/accumulo-spark-connector.html b/output/blog/2020/02/26/accumulo-spark-connector.html index 6131c21..738d8af 100644 --- a/output/blog/2020/02/26/accumulo-spark-connector.html +++ b/output/blog/2020/02/26/accumulo-spark-connector.html @@ -360,7 +360,7 @@ To train the classification model, we generated feature vectors from the text of <li>Accumulo MLeap Server-side inference vs Spark ML results in a 2x improvement</li> <li>Multi-threading in Spark jobs can be used to fully utilize Accumulo servers <ul> - <li>Useful if less Spark cluster has less cores than Accumulo</li> + <li>Useful when Spark cluster has less cores than Accumulo</li> <li>e.g. 8 threads * 2,048 Spark executor = 16,384 Accumulo threads</li> </ul> </li> diff --git a/output/feed.xml b/output/feed.xml index 1edbecc..63e1e33 100644 --- a/output/feed.xml +++ b/output/feed.xml @@ -6,8 +6,8 @@ </description> <link>https://accumulo.apache.org/</link> <atom:link href="https://accumulo.apache.org/feed.xml" rel="self" type="application/rss+xml"/> - <pubDate>Thu, 27 Feb 2020 15:05:30 +0000</pubDate> - <lastBuildDate>Thu, 27 Feb 2020 15:05:30 +0000</lastBuildDate> + <pubDate>Fri, 28 Feb 2020 12:48:01 +0000</pubDate> + <lastBuildDate>Fri, 28 Feb 2020 12:48:01 +0000</lastBuildDate> <generator>Jekyll v4.0.0</generator> @@ -227,7 +227,7 @@ To train the classification model, we generated feature vectors from the text of <li>Accumulo MLeap Server-side inference vs Spark ML results in a 2x improvement</li> <li>Multi-threading in Spark jobs can be used to fully utilize Accumulo servers <ul> - <li>Useful if less Spark cluster has less cores than Accumulo</li> + <li>Useful when Spark cluster has less cores than Accumulo</li> <li>e.g. 8 threads * 2,048 Spark executor = 16,384 Accumulo threads</li> </ul> </li> diff --git a/output/search_data.json b/output/search_data.json index f5f743b..609133f 100644 --- a/output/search_data.json +++ b/output/search_data.json @@ -304,7 +304,7 @@ "blog-2020-02-26-accumulo-spark-connector-html": { "title": "Microsoft MASC, an Apache Spark connector for Apache Accumulo", - "content" : "OverviewMASC provides an Apache Spark native connector for Apache Accumulo to integrate the rich Spark machine learning eco-system with the scalable and secure data storage capabilities of Accumulo.Major Features Simplified Spark DataFrame read/write to Accumulo using DataSource v2 API Speedup of 2-5x over existing approaches for pulling key-value data into DataFrame format Scala and Python support without overhead for moving between languages Process streaming da [...] + "content" : "OverviewMASC provides an Apache Spark native connector for Apache Accumulo to integrate the rich Spark machine learning eco-system with the scalable and secure data storage capabilities of Accumulo.Major Features Simplified Spark DataFrame read/write to Accumulo using DataSource v2 API Speedup of 2-5x over existing approaches for pulling key-value data into DataFrame format Scala and Python support without overhead for moving between languages Process streaming da [...] "url": " /blog/2020/02/26/accumulo-spark-connector.html", "categories": "blog" }