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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 <[email protected]>
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"
}
