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From dma...@apache.org
Subject svn commit: r1826053 - in /ignite/site/trunk: download.html includes/header.html use-cases/spark/shared-memory-layer.html use-cases/spark/sql-queries.html
Date Wed, 07 Mar 2018 00:00:00 GMT
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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