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Posted to commits@ignite.apache.org by dm...@apache.org on 2017/05/05 19:56:01 UTC
svn commit: r1794097 - /ignite/site/trunk/releases/2.0.0/release_notes.html
Author: dmagda
Date: Fri May 5 19:56:01 2017
New Revision: 1794097
URL: http://svn.apache.org/viewvc?rev=1794097&view=rev
Log:
updated release notes
Modified:
ignite/site/trunk/releases/2.0.0/release_notes.html
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=1794097&r1=1794096&r2=1794097&view=diff
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--- ignite/site/trunk/releases/2.0.0/release_notes.html (original)
+++ ignite/site/trunk/releases/2.0.0/release_notes.html Fri May 5 19:56:01 2017
@@ -27,60 +27,61 @@ ol li {
width: 700px;
}</style></head>
<body>
-<h1 id="Apache IGNITE 2.0 Overview">Overview</h1>
+<h1 id="Apache IGNITE 2.0 Overview">Apache Ignite 2.0 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
+In a nutshell, all the data and indexes are stored in a completely <a href="https://apacheignite.readme.io/docs/page-memory" target="_blank">new manageable off-heap memory</a>
+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 functionality.
-Now you can define and, whatâs 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 itâs more exciting that they can leverage
+The release <a href="https://apacheignite.readme.io/docs/distributed-ddl" target="_blank">introduces support</a>
+for Data Definition Language (DDL) as a part of its SQL Grid functionality.
+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
releases.
<h2>Machine Learning Grid Beta</h2>
-With Apache Ignite 2.0 you can check projectâs own distributed algebra implementation.
+With Apache Ignite 2.0 you can check up project's own <a href="https://apacheignite.readme.io/docs/machine-learning" target="_blank">distributed algebra implementation</a>.
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
+<a href="https://apacheignite-mix.readme.io/docs/spring-data" target="_blank">Spring Data integration</a> 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 cluster.
+Starting with Apache Ignite 2.0 you can easily stream data from <a href="https://apacheignite-mix.readme.io/docs/rocketmq-streamer" target="_blank">RocketMQ to an Apache Ignite cluster</a>.
<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.
+<a href="https://apacheignite-mix.readme.io/docs/hibernate-l2-cache" target="_blank">The integration</a> now supports Hibernate 5 and contains a number of bug fixes and improvements.
<h2>Ignite.NET</h2>
-Ignite.NET has been enhanced with an addition of a plugin system that allows writing and embedding 3rd party .NET
+Ignite.NET has been enhanced with an addition of a <a href="https://apacheignite-net.readme.io/docs/plugins" target="_blank">plugin system</a> that allows writing and embedding 3rd party .NET
components into Ignite.NET.
<h2>Ignite.C++</h2>
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
+The approach was initially tested for continuous queries and now you can <a href="https://apacheignite-cpp.readme.io/docs/continuous-queries" target="_blank">register continuous queries' remote filters</a>
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>
+<h1 id="Apache IGNITE 2.0">Full Set of Changes</h1>
<h2>New Features</h2>
<ul>
<li>Implement index hints for SQL<a href="https://issues.apache.org/jira/browse/IGNITE-4594"> [#IGNITE-4594]</a>