Advanced Features of SmartGWT framework. Ladislav Mačkala IT director, Podsjetnik d.o.o

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1 Advanced Features of SmartGWT framework Ladislav Mačkala IT director, Podsjetnik d.o.o

2 About me 15+ years of experience in Java development and relational database design and implementation Holding B.Sc. And M.Sc. in Computing, Ph.D. in progress Have lead Java development teams in several software companies in Croatia Currently leading small IT team in medical tourism company

3 What is this presentation about? About a really good piece of software About even cooler features of that good piece of software

4 SmartGWT at glance (1) RIA development framework: end-to-end application architecture a zero-install Ajax/HTML5 client engine rich user interface components & services client-server data binding systems One language to rule them all : written in Java cross-compiled to JavaScript on the client side integrated with desired Java technologies on the server side

5 SmartGWT architecture

6 SmartGWT advanced features Real-time messaging module based on HTTP streaming (aka Comet ), integration with JMS Analytics module BI, analytics and reporting client module

7 What is Comet? Comet a web application model in which a long-held HTTP request allows a web server to push data to a browser, without the browser explicitly requesting it AKA: Ajax Push, Reverse Ajax, Two-way web, HTTP Streaming, HTTP server push

8 RTM Module - features SmartGWT Real-time Messaging Module (RTM) supports Comet Features: asynchronous delivery of real-time messages to the client High data delivery rates Works through firewalls, HTTP proxies and other intervening network devices Supports codeless integration with JMS (Java Message Service) Supports custom connector architecture for other message sources

9 RTM Module programming model Extremely simple programming model: Message producers can be on the client or on the server side Message subscribers on the client side A channel a common denominator for both message producers and consumers A message a java.lang.object, consumer has to know what producer produced

10 RTM Module do some plumbing Include required jars in the project Register a servlet in WEB-INF/web.xml: <servlet> <servlet-name>messagingservlet</servlet-name> <servlet-class>com.isomorphic.messaging.messagingservlet</servlet-class> </servlet> <servlet-mapping> <servlet-name>messagingservlet</servlet-name> <url-pattern>/myapp/sc/messaging/*</url-pattern> </servlet-mapping>

11 RTM Module generate a message (1) On the client side, inside any GUI component, just call Message.send() public void sendchatmessage() { String username = (String) chatform.getvalue("user"); Object messagetext = chatform.getvalue("msg"); String message = "<b>" + username + ":</b> " + (String) messagetext + "<br><br>"; Messaging.send("chatChannel", message, new RPCCallback () public void execute(rpcresponse response, Object rawdata, RPCRequest request) { if (response.getstatus()!= RPCResponse.STATUS_SUCCESS) { SC.say("Failed send message to server."); } } }); }

12 RTM Module generate a message (2) Or on the server side, inside DMI class, some Spring bean or something similar: private void sendtoclients( ) throws Exception { final ISCMessageDispatcher dispatcher = ISCMessageDispatcher.instance(); final Map data = new HashMap(); data.put( key1, somevalue1); data.put( key2, somevalue2); } dispatcher.send(new ISCMessage( mychannell, (Object) data));

13 RTM Module consume a message On the client side, inside any GUI component, register a handler that will listen to the channel and process messages as they come: Messaging.subscribe("chatChannel", new MessagingCallback() public void execute(object data) { chatlog.setcontents(chatlog.getcontents() + (String)data); } });

14 RTM Module operation modes 2 operation modes: Simple mode in-memory messaging delivery system no message persistence operates only in the context of a single JVM Enterprise mode uses Java Message Service (JMS) as the messaging backend can operate in a clustered environment

15 RTM Module integration Easily integrable with JMS servers Examples of third-party integration in the SmartGWT wiki: Integration with JBoss AS JMS Server Integration with Tomcat and ActiveMQ

16 RTM Module use cases From examples and the wiki: Simple chat between clients Stock quotes in real time Propagation of data set updates to all clients From the real world: Notifying clients about various business events in the system Monitoring client activities Real-time collaboration between clients

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19 Analytics module - overview CubeGrid wraps OLAP cube functionality into a single interactive grid component data analysis engine access to multidimensional data and calculations view, analyze and extract data front-ends for business intelligence, analytics and reporting applications

20 Analytics module - operations Operations on the CubeGrid performing analysis of very large data sets user is able to re-organize or re-orient the way information is viewed on the fly slicing, dicing drilling up and drilling down rolling-up, pivoting

21 Analytics module - terminology OLAP terminology <=> CubeGrid terminology: Data cube <=> Cube Means: multidimensional dataset Dimension <=> Facet Means: dimension, attribute, or feature Member <=> Facet value Means: dimension member, attribute value, or feature value

22 The CubeGrid - features Features of the CubeGrid: add and remove facets on the fly expand or collapse within facets and across facets drag-and-drop re-arrangement and pivoting of facets interactive operations (select, resize, reorder, minimize, maximize or auto-fit of columns) HTML5 Charts with mobile support Loading-On-Demand - only visible data is loaded

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24 The CubeGrid add row front-ends for business intelligence, analytics and reporting applications

25 The CubeGrid row added

26 Analytics module data sources CubeGrid can be connected to various data sources: MDX XMLA OLAP4J Regular SmartGWT SQLDataSource i.e. anything that SmartGWT supports as data source

27 Analytics module - integration CubeGrid can be easily integrated with OLAP server through mentioned protocols Examples of third-party OLAP servers integration in the SmartGWT wiki: Pentaho Mondrian Server JasperReport Server Microsoft SQL Server Analysis Services

28 Analytics module use cases Integration of Analytics module into the application for transactional database Fetching data for Analytics module from transactional database, no OLAP server Analysis of real-life data: Marketing department data Sales / customer support department data Production department data Financial data

29 SmartGWT licensing Client-side LGPL Server-side commercial license 3 levels (Power, Pro, Enterprise) Per developer, Enterprise per CPU or flat rate also No runtime licenses, just for developers 60-days trial Advanced modules commercial license Payed support, training etc. available

30 SmartGWT links Homepage: Comparing with the competition: SmartGWT Showcase: SmartGWT Enterprise Showcase: Forum: Blog: Wiki: ublic+wiki

31 Q & A