Publishing from a4995f9b34c5c3a8f29557d20dd083a58dd13056
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+<!DOCTYPE html>
+<html>
+    <head>
+        <meta charset="utf-8">
+        <title>The Apache Crail (Incubating) Project: Release_v1.2</title>
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+        <meta property="og:image" content="//crail.incubator.apache.org/img/blog/preview/release_v1.2-summary.png" />
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+          <div class="header">
+            <ul class="nav nav-pills pull-right">
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+            <a href="//crail.incubator.apache.org/">
+                <img src="//crail.incubator.apache.org/img/crail_logo.png"
+                    srcset="//crail.incubator.apache.org/img/crail_logo.png"
+                    alt="Crail" id="logo">
+            </a>
+          </div>
+
+          
+          
+          <h2>Release_v1.2</h2>   
+          
+
+          <p>New release v1.2 of Apache Crail available for <a href="../download">download</a></p>
+
+
+        <br>
+	<br> 
+          <div class="footer">
+            <p>Apache Crail is an effort undergoing <a href="https://incubator.apache.org/">incubation</a> at <a href="https://www.apache.org/">The Apache Software Foundation (ASF)</a>, sponsored by the Apache Incubator PMC. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.
+            </p>
+          </div>
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+        </div> <!-- /container -->
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+</html>
diff --git a/content/feed.xml b/content/feed.xml
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+++ b/content/feed.xml
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-<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.8.5">Jekyll</generator><link href="http://crail.incubator.apache.org//feed.xml" rel="self" type="application/atom+xml" /><link href="http://crail.incubator.apache.org//" rel="alternate" type="text/html" /><updated>2020-01-14T11:05:49+01:00</updated><id>http://crail.incubator.apache.org//feed.xml</id><title type="html">The Apache Crail (Incubating) Project</title><entry><title type="html">YCSB Benchmark with Crail on DRAM, Flash and Optane over RDMA and NVMe-over-Fabrics</title><link href="http://crail.incubator.apache.org//blog/2019/10/ycsb.html" rel="alternate" type="text/html" title="YCSB Benchmark with Crail on DRAM, Flash and Optane over RDMA and NVMe-over-Fabrics" /><published>2019-10-09T00:00:00+02:00</published><updated>2019-10-09T00:00:00+02:00</updated><id>http://crail.incubator.apache.org//blog/2019/10/ycsb</id><content type="html" xml:base="http://crail.incubator.apache.org//blog/2019/10/ycsb.html">&lt;div style=&quot;text-align: justify&quot;&gt; 
+<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.8.5">Jekyll</generator><link href="http://crail.incubator.apache.org//feed.xml" rel="self" type="application/atom+xml" /><link href="http://crail.incubator.apache.org//" rel="alternate" type="text/html" /><updated>2020-01-14T11:20:49+01:00</updated><id>http://crail.incubator.apache.org//feed.xml</id><title type="html">The Apache Crail (Incubating) Project</title><entry><title type="html">Release_v1.2</title><link href="http://crail.incubator.apache.org//blog/2020/01/release_v1.2.html" rel="alternate" type="text/html" title="Release_v1.2" /><published>2020-01-14T00:00:00+01:00</published><updated>2020-01-14T00:00:00+01:00</updated><id>http://crail.incubator.apache.org//blog/2020/01/release_v1.2</id><content type="html" xml:base="http://crail.incubator.apache.org//blog/2020/01/release_v1.2.html">&lt;p&gt;New release v1.2 of Apache Crail available for &lt;a href=&quot;../download&quot;&gt;download&lt;/a&gt;&lt;/p&gt;</content><author><name></name></author><category term="news" /><summary type="html">New release v1.2 of Apache Crail available for download</summary></entry><entry><title type="html">YCSB Benchmark with Crail on DRAM, Flash and Optane over RDMA and NVMe-over-Fabrics</title><link href="http://crail.incubator.apache.org//blog/2019/10/ycsb.html" rel="alternate" type="text/html" title="YCSB Benchmark with Crail on DRAM, Flash and Optane over RDMA and NVMe-over-Fabrics" /><published>2019-10-09T00:00:00+02:00</published><updated>2019-10-09T00:00:00+02:00</updated><id>http://crail.incubator.apache.org//blog/2019/10/ycsb</id><content type="html" xml:base="http://crail.incubator.apache.org//blog/2019/10/ycsb.html">&lt;div style=&quot;text-align: justify&quot;&gt; 
 &lt;p&gt;
 Recently, suppport for Crail has been added to the &lt;a href=&quot;https://github.com/brianfrankcooper/YCSB&quot;&gt;YCSB&lt;/a&gt; benchmark suite. In this blog we describe how to run the benchmark and briefly show some performance comparisons between Crail and other key-value stores running on DRAM, Flash and Optane such as &lt;a href=&quot;https://www.aerospike.com&quot;&gt;Aerospike&lt;/a&gt; or &lt;a href=&quot;https://ramcloud.atlassian.net/wiki/spaces/RAM/overview&quot;&gt;RAMCloud&lt;/a&gt;. 
 &lt;/p&gt;
@@ -762,4 +762,4 @@
 &lt;p&gt;
 Stay tuned for the next part where we look at workload-level performance in Spark/SQL on modern high-performance networking and storage devices. Meanwhile let us know if you have any feedback or comments. 
 &lt;/p&gt;
-&lt;/div&gt;</content><author><name>Animesh Trivedi</name></author><category term="blog" /><summary type="html">This is the first user blog post in a multi-part series where we will focus on relational data processing performance (e.g., SQL) in presence of high-performance network and storage devices - the kind of devices that Crail targets. Relational data processing is one of the most popular and versatile workloads people run in the cloud. The general idea is that data is stored in tables with a schema, and is processed using a domain specific language like SQL. Examples of some popular systems that support such relational data analytics in the cloud are Apache Spark/SQL, Apache Hive, Apache Impala, etc. In this post, we discuss the important first step in relational data processing, which is the reading of input data tables.</summary></entry><entry><title type="html">Dataworks</title><link href="http://crail.incubator.apache.org//blog/2018/06/dataworks.html" rel="alternate" type="text/html" title="Dataworks" /><published>2018-06-05T00:00:00+02:00</published><updated>2018-06-05T00:00:00+02:00</updated><id>http://crail.incubator.apache.org//blog/2018/06/dataworks</id><content type="html" xml:base="http://crail.incubator.apache.org//blog/2018/06/dataworks.html">&lt;p&gt;Apache Crail (incubating) to feature in the &lt;a href=&quot;https://dataworkssummit.com/san-jose-2018/session/data-processing-at-the-speed-of-100-gbpsapache-crail-incubating/&quot;&gt;DataWorks Summit&lt;/a&gt; on June 21st&lt;/p&gt;</content><author><name></name></author><category term="news" /><summary type="html">Apache Crail (incubating) to feature in the DataWorks Summit on June 21st</summary></entry></feed>
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+&lt;/div&gt;</content><author><name>Animesh Trivedi</name></author><category term="blog" /><summary type="html">This is the first user blog post in a multi-part series where we will focus on relational data processing performance (e.g., SQL) in presence of high-performance network and storage devices - the kind of devices that Crail targets. Relational data processing is one of the most popular and versatile workloads people run in the cloud. The general idea is that data is stored in tables with a schema, and is processed using a domain specific language like SQL. Examples of some popular systems that support such relational data analytics in the cloud are Apache Spark/SQL, Apache Hive, Apache Impala, etc. In this post, we discuss the important first step in relational data processing, which is the reading of input data tables.</summary></entry></feed>
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diff --git a/content/index.html b/content/index.html
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--- a/content/index.html
+++ b/content/index.html
@@ -109,6 +109,14 @@
 
     
         <li class="shortnews">
+            <span class="date">January 14, 2020</span>
+            <p>New release v1.2 of Apache Crail available for <a href="../download">download</a></p>
+
+        </li>
+    
+
+    
+        <li class="shortnews">
             <span class="date">August 5, 2019</span>
             <p>Paper on Crail’s system architecture was presented at <a href="https://www.usenix.org/conference/atc19/presentation/stuedi">USENIX ATC’19</a></p>
 
@@ -139,14 +147,6 @@
         </li>
     
 
-    
-        <li class="shortnews">
-            <span class="date">June 5, 2018</span>
-            <p>A Spark serverless architecture powered by Crail will be presented today at the <a href="https://databricks.com/session/serverless-machine-learning-on-modern-hardware-using-apache-spark">Spark Summit</a></p>
-
-        </li>
-    
-
 </ul>
 
 
diff --git a/content/news/index.html b/content/news/index.html
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--- a/content/news/index.html
+++ b/content/news/index.html
@@ -78,6 +78,14 @@
 
     
         <li class="shortnews">
+            <span class="date">January 14, 2020</span>
+            <p>New release v1.2 of Apache Crail available for <a href="../download">download</a></p>
+
+        </li>
+    
+
+    
+        <li class="shortnews">
             <span class="date">August 5, 2019</span>
             <p>Paper on Crail’s system architecture was presented at <a href="https://www.usenix.org/conference/atc19/presentation/stuedi">USENIX ATC’19</a></p>