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Compare GraniteDS for Rich Internet Applications (RIA) | Granite Data Services - 0 views

granitedataservices.com/compare-graniteds graniteds lcds blazeds comparison
shared by kuni katsuya on 15 May 12 - No Cached
  • comparison of GraniteDS to other common integration frameworks for Flex / JaveEE RIA applications
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Plummer's Mind: GraniteDS Tutorial: Intro to The Tide Client Framework - 0 views

plummersmind.blogspot.ca/...rial-intro-to-tide-client.html graniteds tide client framework tutorial
shared by kuni katsuya on 15 May 12 - No Cached
  • GraniteDS Tutorial: Intro to The Tide Client Framework
  • only one per Application
  • Tide Context
  • ...2 more annotations...
  • Tide will automatically inject shared data and correctly route events without requiring the application developer to write their own mechanism for sharing information or explicitly registering event listeners
  • Tide events are a simplification on the already existing Flex event framework
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DataSource configuration - JBoss AS 7.0 - Project Documentation Editor - 0 views

docs.jboss.org/...DataSource+configuration jbossas7 data source configuration
shared by kuni katsuya on 19 Jun 12 - No Cached
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JBoss AS 7 | Granite Data Services - 0 views

granitedataservices.com/...jboss-as-7 graniteds jbossas7
shared by kuni katsuya on 08 Jun 12 - No Cached
  • JBoss AS 7 with GDS 2.3
  • JBoss AS 7 is its deep integration with Hibernate 4 which makes very painful to deploy Hibernate 3.x applications
  • recommended to upgrade to H4
  • ...6 more annotations...
  • GraniteDS now fully supports Hibernate 4
  • use the granite-hibernate4.jar instead of granite-hibernate.jar
  • Flex 4.5 broke a few APIs and there were two main issues with Tide : The client libraries crashed when run in a mobile application The PagedQuery was unusable
  • These two issues are now fixed
  • granite-flex45.swc
  • Flex SDK 4.5 here
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DataSource configuration - JBoss AS 7.1 - Project Documentation Editor - 0 views

docs.jboss.org/...DataSource+configuration jbossas7 data source configuration cli
shared by kuni katsuya on 22 Jun 12 - No Cached
  • /subsystem=datasources:read-resource(recursive=true)
  • /subsystem=datasources:installed-drivers-list
  • DataSource configuration
  • kuni katsuya on 22 Jun 12
     
    /subsystem=datasources:read-resource(recursive=true)
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Preventing SQL Injection in Java - OWASP - 0 views

www.owasp.org/...eventing_SQL_Injection_in_Java security SqlInjection prevention Java DefensiveCoding
shared by kuni katsuya on 21 Sep 12 - No Cached
  • Preventing SQL Injection in Java
  • inject (or execute) SQL commands within an application
  • Defense Strategy
  • ...19 more annotations...
  • To prevent SQL injection:
  • All queries should be
  • parametrized
  • All dynamic data
  • should be
  • explicitly bound to parametrized queries
  • String concatenation
  • should never be used
  • to create dynamic SQL
  • OWASP SQL Injection Prevention Cheat Sheet.
  • Parameterized Queries
  • Prepared Statements
  • automatically be escaped by the JDBC driver
  • userId = ?
  • PreparedStatement
  • setString
  • Dynamic Queries via String Concatenation
  • never construct SQL statements using string concatenation of unchecked input values
  • dynamic queries via the java.sql.Statement class leads to SQL Injection
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AMFParser - 0 views

amfparser.codeplex.com graniteds flex blazeds debugging AMF AMFParser Fiddler2
shared by kuni katsuya on 20 Sep 12 - No Cached
  • AMFParser
  • AMFParser plugin for Fiddler2 web debugger
  • parsing and displaying AMF data inside HTTP's POST requests and responses
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graniteds - can newer web containers having Servlet 3 extend BlazeDS max # of simultane... - 0 views

stackoverflow.com/...-blazeds-max-of-simultaneous-u graniteds AsynchronousServlets asynchronous servlets servlet3.0
shared by kuni katsuya on 20 Sep 12 - No Cached
  • GraniteDS & Asynchronous Servlets
  • to handle many thousands concurrent users, you can even
  • create a cluster of GraniteDS servers
  • ...9 more annotations...
  • Asynchronous Servlets Performance
  • With a non NIO or non Continuation based server, this would require around 11,000 threads to handle 10,000 simultaneous users. Jetty handles this number of connections with only 250 threads.
  • Classical synchronous model: 10,000 concurrent users -> 11,000 server threads. 1.1 ratio.
  • Comet asynchronous model: 10,000 concurrent users -> 250 server threads. 0.025 ratio.
  • classical (synchronous) servlet model
  • request -> immediate processing -> response
  • Comet implementations rely on a different model:
  • request -> wait for available data -> response
  • With synchronous servlet processing, each request is handled by one dedicated server thread
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