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From dma...@apache.org
Subject svn commit: r1794096 - /ignite/site/trunk/releases/2.0.0/release_notes.html
Date Fri, 05 May 2017 19:49:16 GMT
Author: dmagda
Date: Fri May  5 19:49:16 2017
New Revision: 1794096

URL: http://svn.apache.org/viewvc?rev=1794096&view=rev
updated release notes


Modified: ignite/site/trunk/releases/2.0.0/release_notes.html
URL: http://svn.apache.org/viewvc/ignite/site/trunk/releases/2.0.0/release_notes.html?rev=1794096&r1=1794095&r2=1794096&view=diff
--- ignite/site/trunk/releases/2.0.0/release_notes.html (original)
+++ ignite/site/trunk/releases/2.0.0/release_notes.html Fri May  5 19:49:16 2017
@@ -27,6 +27,59 @@ ol li {
   width: 700px;
+<h1 id="Apache IGNITE 2.0 Overview">Overview</h1>
+Apache Ignite 2.0 incorporates significant as well as breakthrough changes some of the are
described below.
+<h2>Redesigned Off-Heap Memory Architecture</h2>
+The whole memory architecture of the platform was redesigned from scratch.
+In a nutshell, all the data and indexes are stored in a completely new manageable off-heap
memory that has no
+issues with memory fragmentation, accelerates SQL Grid significantly and helps your application
tolerate Java GC
+pauses easily. The architecture allows integrating easily with SSD and Flash drives.
+<h2>Data Definition Language</h2>
+The release introduces support for Data Definition Language (DDL) as a part of its SQL Grid
+Now you can define and, what’s more important, to alter indexes in runtime without a
need to restart your cluster.
+Apache Ignite users have been waiting for this feature for a long time and it’s more
exciting that they can leverage
+from this by using standard SQL commands like CREATE or DROP index. More DDL commands will
be supported in upcoming
+<h2>Machine Learning Grid Beta</h2>
+With Apache Ignite 2.0 you can check project’s own distributed algebra implementation.
+The distributed algebra is the foundation for the whole component and pretty soon you can
expect to get
+distributed versions of widely used regression algorithms, decision trees and more.
+<h2>Spring Data Integration</h2>
+Spring Data integration allows interacting with an Apache Ignite cluster using well-known
and highly adopted
+Spring Data Framework. You can connect to the cluster by means of Spring Data repositories
and start executing
+distributed SQL queries as well as simple CRUD operations.
+<h2>Rocket MQ Integration</h2>
+Starting with Apache Ignite 2.0 you can easily stream data from RocketMQ to an Apache Ignite
+<h2>Hibernate 5 Support</h2>
+Hibernate L2 cache users have been anticipating support of Hibernate 5 on Apache Ignite side
pretty long time.
+Apache Ignite 2.0 fulfilled this demand.
+The integration now supports Hibernate 5 and contains a number of bug fixes and improvements.
+Ignite.NET has been enhanced with an addition of a plugin system that allows writing and
embedding 3rd party .NET
+components into Ignite.NET.
+Eventually, Ignite.C++ part of the community made up a way on how to execute arbitrary C++
code on remote cluster machines.
+The approach was initially tested for continuous queries and now you can register continuous
queries' remote filters
+on any cluster node you like. Going forward you can expect support for Ignite.C++ compute
grid and more.
 <h1 id="Apache IGNITE 2.0">Apache IGNITE 2.0</h1>
 <h2>New Features</h2>

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