Author: dmagda
Date: Tue Mar  6 23:59:59 2018
New Revision: 1826053

URL: http://svn.apache.org/viewvc?rev=1826053&view=rev
Log:
updated spark pages

Modified:
    ignite/site/trunk/download.html
    ignite/site/trunk/includes/header.html
    ignite/site/trunk/use-cases/spark/shared-memory-layer.html
    ignite/site/trunk/use-cases/spark/sql-queries.html

Modified: ignite/site/trunk/download.html
URL: 
http://svn.apache.org/viewvc/ignite/site/trunk/download.html?rev=1826053&r1=1826052&r2=1826053&view=diff
==============================================================================
--- ignite/site/trunk/download.html (original)
+++ ignite/site/trunk/download.html Tue Mar  6 23:59:59 2018
@@ -189,7 +189,7 @@ under the License.
                                         </li>
                                         <li><a href="/arch/persistence.html"
                                                onclick="ga('send', 'event', 
'apache_ignite_features', 'menu_click', 'persistence');">
-                                            Persistence</a>
+                                            Distributed Persistence</a>
                                         </li>
                                         <li class="divider">
 
@@ -288,7 +288,7 @@ under the License.
                                         <li role="presentation" 
class="submenu-header">Ignite with Spark & Hadoop</li>
                                         <li><a 
href="/use-cases/spark/shared-memory-layer.html"
                                                onclick="ga('send', 'event', 
'apache_ignite_usecases', 'menu_click', 'shared-memory-layer');">
-                                            Spark Shared RDDs</a>
+                                            In-Memory Store for Spark</a>
                                         </li>
                                         <li><a 
href="/use-cases/spark/sql-queries.html"
                                                onclick="ga('send', 'event', 
'apache_ignite_usecases', 'menu_click', 'sql-queries');">

Modified: ignite/site/trunk/includes/header.html
URL: 
http://svn.apache.org/viewvc/ignite/site/trunk/includes/header.html?rev=1826053&r1=1826052&r2=1826053&view=diff
==============================================================================
--- ignite/site/trunk/includes/header.html (original)
+++ ignite/site/trunk/includes/header.html Tue Mar  6 23:59:59 2018
@@ -117,7 +117,7 @@
                                         </li>
                                         <li><a href="/arch/persistence.html"
                                                onclick="ga('send', 'event', 
'apache_ignite_features', 'menu_click', 'persistence');">
-                                            Persistence</a>
+                                            Distributed Persistence</a>
                                         </li>
                                         <li class="divider">
 
@@ -216,7 +216,7 @@
                                         <li role="presentation" 
class="submenu-header">Ignite with Spark & Hadoop</li>
                                         <li><a 
href="/use-cases/spark/shared-memory-layer.html"
                                                onclick="ga('send', 'event', 
'apache_ignite_usecases', 'menu_click', 'shared-memory-layer');">
-                                            Spark Shared RDDs</a>
+                                            In-Memory Store for Spark</a>
                                         </li>
                                         <li><a 
href="/use-cases/spark/sql-queries.html"
                                                onclick="ga('send', 'event', 
'apache_ignite_usecases', 'menu_click', 'sql-queries');">

Modified: ignite/site/trunk/use-cases/spark/shared-memory-layer.html
URL: 
http://svn.apache.org/viewvc/ignite/site/trunk/use-cases/spark/shared-memory-layer.html?rev=1826053&r1=1826052&r2=1826053&view=diff
==============================================================================
--- ignite/site/trunk/use-cases/spark/shared-memory-layer.html (original)
+++ ignite/site/trunk/use-cases/spark/shared-memory-layer.html Tue Mar  6 
23:59:59 2018
@@ -54,15 +54,15 @@ under the License.
             <div class="col-sm-12 col-md-12 col-xs-12" style="padding:0 0 10px 
0;">
                 <div class="col-sm-6 col-md-6 col-xs-12" 
style="padding-left:0; padding-right:0">
                     <p>
-                        Apache Ignite provides an implementation of Spark RDD 
abstraction which allows to easily
-                        share state in memory across multiple Spark jobs, 
either within the same application
-                        or between different Spark applications.
+                        Apache Ignite provides an implementation of Spark RDD 
and DataFrames abstractions which allows
+                        using Ignite as an in-memory distributed store in 
Spark. That gives an ability to share a state
+                        and data across multiple Spark jobs and workers 
easily, either within the same application or
+                        between different Spark applications.
                     </p>
-                    <div class="page-heading">Shared RDDs</div>
+                    <div class="page-heading">Shared RDDs and DataFrames</div>
                     <p>
-                        <code>IgniteRDD</code> is an implementation of native 
Spark RDD
-                        and DataFrame APIs which, in addition to all the 
standard RDD
-                        functionality, also shares the state of the RDD across 
other
+                        <code>IgniteRDD</code> is an implementation of native 
Spark RDDs and DataFrames APIs which, in addition to
+                        all the standard RDD functionality, also shares the 
state of the RDD across other
                         Spark jobs, applications and workers.
                     </p>
                     <p>
@@ -95,6 +95,11 @@ under the License.
                     <b>Configure Shared Memory Layer <i class="fa 
fa-angle-double-right"></i></b>
                 </a>
             </p>
+            <p>
+                <a 
href="https://apacheignite-fs.readme.io/docs/ignite-data-frame"; target="docs">
+                    <b>Speeding up DataFrames access with Ignite <i class="fa 
fa-angle-double-right"></i></b>
+                </a>
+            </p>
         </section>
     </main>
 

Modified: ignite/site/trunk/use-cases/spark/sql-queries.html
URL: 
http://svn.apache.org/viewvc/ignite/site/trunk/use-cases/spark/sql-queries.html?rev=1826053&r1=1826052&r2=1826053&view=diff
==============================================================================
--- ignite/site/trunk/use-cases/spark/sql-queries.html (original)
+++ ignite/site/trunk/use-cases/spark/sql-queries.html Tue Mar  6 23:59:59 2018
@@ -54,8 +54,8 @@ under the License.
             <div class="col-sm-12 col-md-12 col-xs-12" style="padding:0 0 10px 
0;">
                 <div class="col-sm-6 col-md-6 col-xs-12" 
style="padding-left:0; padding-right:0">
                     <p>
-                        Running SQL queries using <code>IgniteRDD</code> is 
orders of magnitude faster than running SQL
-                        queries using Spark native RDDs or Data Frame APIs.
+                        Running SQL queries using Ignite shared RDDs or 
DataFrames is much faster than running Spark SQL
+                        via native RDDs or Data Frame implementations.
                     </p>
                     <div class="page-heading">In-Memory Indexes</div>
                     <p>
@@ -73,15 +73,19 @@ under the License.
                     <img class="img-responsive" 
src="/images/spark_integration.png" width="440px" style="float:right;"/>
                 </div>
             </div>
-            <div class="page-heading">On-Heap and Off-Heap Memory</div>
+            <div class="page-heading">Off-Heap Memory</div>
             <p>
-                Ignite allows storing data in <i>on-heap</i> as well as 
<i>off-heap</i> memory.
-                If data is cached in off-heap memory, query indexes will be 
stored off-heap as well and
-                will not introduce any additional JVM Garbage Collection (GC) 
overhead.
+                Ignite stores data and indexes in an off-heap memory that 
allows holding petabytes of data in Ignite
+                and process them from Spark without worrying about JVM garbage 
collection overhead.
             </p>
             <p>
                 <a 
href="https://apacheignite-fs.readme.io/docs/ignitecontext-igniterdd#section-running-sql-queries-against-ignite-cache";
 target="docs">
-                    <b>Run SQL Queries against Ignite Cache <i class="fa 
fa-angle-double-right"></i></b>
+                    <b>Run SQL Queries against Ignite cluster <i class="fa 
fa-angle-double-right"></i></b>
+                </a>
+            </p>
+            <p>
+                <a 
href="https://apacheignite-fs.readme.io/docs/ignite-data-frame"; target="docs">
+                    <b>Speeding up DataFrames access with Ignite <i class="fa 
fa-angle-double-right"></i></b>
                 </a>
             </p>
         </section>


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