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• CodePlex Daily Summary for Thursday, March 04, 2010

  CodePlex Daily Summary for Thursday, March 04, 2010New ProjectsAcPrac: A educational program designed to run on Windows. It is fully customizable. It is developed in C# 2008.argo: Linguistic Tool Camelot: A simple utility for testing cross site data queries in SharePointdelta: Delta is a difference tool for large files. Delta will have several clients, including AJAX and Silverlight. You can view differences in a scroll...EF Dorsal: A dorsal spine for Entity Framework based project. This code generator provides a powerfull Business Layer with almost all high important best p...Excel formatting: Excel formatting projectEyes Recognition: eye recognitionGameOfLife: The Game of Life is a the best example of a cellular automaton. It's developed in C#, SilverLight.GKO Libraries: .NET tool libraries written in C# that we have used in our projectsHello Demo: A simple Hello World application, used to demonstrate access to CodePlex using Team Explorerjog.Portal: jogportal lays the foundation for an extensible portal solution leveraging the latest technology including linq and silver lightKM Brasil: k-meleon, km, gecko, brasil, browser, web, web browser, navegador, navegação, kmeleon, k meleonLost in Translation: Ever find yourself in a foreign country eager (or clueless) to what is written on a shop sign or restaurant menu? With your trusty phone, its came...Machine Learning for .NET: Machine Learning Library for .NET. Initial inclusions will be binary and multi-class classification as well as standard clustering algorithms.Maito: Iron Kingdoms Name GeneratorManPowerEngine: ManPowerEngine is a Silverlight 2D Game Engine. It has an game application framework and supports game object hierarchy management, 2D physics simu...Marvin's Arena: Marvin's Arena is a free and entertaining programming game. The game is designed to easily learn programming in any .NET compatible language. It is...MultiMediaPlayer: 整合我们的内容NCacheD - A Simple Distributed .NET Cache using the TPL and WCF: NCacheD is a simple distributed cache system written in .NET. NCacheD offers functionality similar to that of MemcacheD but scaled back. NCacheD ...NDAP: OPeNDAP is a client/server system for making local scientific data accessible to remote locations without regard to the local or remote storage for...Open Guide CMS: Open Guide makes your traveling through city more adventurous, mode educational and more funny. You can support us by lines of code, by interesti...Rollback - A social backup tool.: Rollback is a simple and intuitive social backup application. You can create multiple backup jobs with a few mouse clicks and even schedule it to ...sELedit: An editor for elements.data file of the popular MMORPG Perfect World.SharePoint Theme Applicator: SharePoint Theme Applicator will give SharePoint administrators the ability to apply a theme accross a whole web application (i.e. apply a theme to...sPATCH: ! sPATCH - Perfect World Client Autopatcher This beta patcher is an alternative to the default perfect world patcher. It offers easy client patc...Wiggle: A-life investigation. Let's make little squirmies!WPFSLBlendModeFx: A blend mode library for WPF & Silverlight.休息提醒: 程序员们，尤其是像我这样对程序痴狂的程序员们。一旦研究起自己感兴趣的程序时，觉得上厕所都是浪费时间。 这个程序是在设定的时间后锁定计算机或关闭显示器，从而从某种程度强迫程序员们去休息New ReleasesAMFParser: 1.1.0: Add handling of DSK object when using BlazeDS Add handling of string references Add handling of DateTime values Correct handling of Double values B...Camelot: Camelot 0.1 Alpha: Early release: 1) Query by content type, optionally list or base template 2) Query by list or base templateDictionary Translator for Umbraco: Dictionary Translator 1.1: This is a minor release that fixes a bug that Thomas Hohler found on the first day of release This package is to be used with the ASP.NET open sou...Dynamic Configuration: Sample Application Release 1: These binaries demonstrate the effect of using DynamicConfigurationManager. The source-code for these binaries is available in the 'Source Code' t...EF Dorsal: EFDorsal v0.3b: Second real version. This version add suport to types and entity sets in tree-view.Enterprise Library Extensions: Release 1.0: This is the initial release of the package. The release will contain one feature only, as being able to deploy the project itself it the milestone ...Free Silverlight & WPF Chart Control - Visifire: Visifire SL and WPF Charts v3.0.4 beta 2 Released: Hi, Today’s release contains fix for the following issues: * In WPF application chart was throwing exception as VisualStateGroup was not foun...GameOfLife: Game of life: First release of the game. PublishedGameStore League Manager: League Manager 1.0 release 2.: Fixes crashing bugs from the first release. To use: 1. Install SQL Server Express 2005 http://www.microsoft.com/Sqlserver/2005/en/us/express-down....Marvin's Arena: Version 0.0.5.0: Code Editor (development of robots without Visual Studio - no debugging) * Rounds * 3D Battle Engine: Skybox * 3D Battle Engine: Robot...Morphfolia - ASP.NET CMS and Framework: Morphfolia v2.4.1.1: Morphfolia v2.4.1.1 - New Release Includes: Better support for browsers other than IE (Chrome, Firefox, Safari - all tested on Windows) Supports ...NCacheD - A Simple Distributed .NET Cache using the TPL and WCF: NCacheD Version 1: Getting Started To get up and running, open two instances of Visual Studio 2010. In one window open the NCacheD client solution and then open the ...Papercut: Papercut 2010-3-3: This release includes a few bug fixes and updates, several of which were contributed patches (thanks!). Feature: Added support for embedded images...PE-file Reader Writer API (PERWAPI): PERWAPI-1.1.4: Perwapi version 1.1.4 is the complete distribution package. It contains Binary files, pdb files and xml files for the PERWAPI and SymbolRW compone...Prolog.NET: Prolog.NET 1.0 Beta 1.2: Installer includes: primary Prolog.NET assembly Prolog.NET Workbench PrologTest console application all required dependencies Beta 1.2 in...Protoforma | Tactica Adversa: Skilful 0.2.4.320: BetaRoTwee: RoTwee 6.1.0.0: 16604 "Post playing tune feature" is added. Using this new feature, you can tweet tune playing in iTunes. 16625 Error processing for network error...sELedit: sELedit v1.0: -SharePoint 2007 Deployment Wizard: Support for SharePoint Server and Foundation 2010: This release encompasses the supported install paths for the default install of SPS 2010 (the 14 hive). All three versions are now supported (60 h...SharePoint Theme Applicator: SharePoint Theme Applicator: SharePoint Theme Applicator was built using C# and WPF, it includes the following features: Provides the total number of site collections in the g...Shinkansen: compress, crunch, combine, and cache JavaScript and CSS: Shinkansen 1.0.0.030310: Build 1.0.0.030310, binaries onlysPATCH: sPatcher v0.8: sPatch - Server Example *Contains a sample Patch that "downgrades" PWI 1.4.2 Client to an 1.3.6 ClientTFS Code Comment Checking Policy (CCCP): CCCP 3.0 for VSTS 2008 SP1: This release includes NRefactory 3.2.0.5571 and is built against VSTS 2008 SP1 (.NET 3.5 is required). New: horizontal scrollbar in listboxes for ...TortoiseHg: Beta for TortoiseHg 1.0 (0.9.31254): Please backup your user Mercurial.ini file and then uninstall any 0.9.X release before installing Use the x86 msi file for 32 bit platforms and th...TwitEclipseAPI: TwitEclipseAPI 0.9: 0.9 Release of TwitEclipseAPI Moved API calls to the api.Twitter.com URL. Moved API calls to the versioning API. Now uses the increased Rate Limit...TwitterVB - A .NET Twitter Library: TwitterVB-2.3: Patch 5151: Added BlockedUsers function to get a page other then the first Patch 5420: The ListMembers function will now return more then just th...休息提醒: 初始版本: 初始版本Most Popular ProjectsMetaSharpRawrWBFS ManagerAJAX Control ToolkitMicrosoft SQL Server Product Samples: DatabaseSilverlight ToolkitWindows Presentation Foundation (WPF)Microsoft SQL Server Community & SamplesASP.NETLiveUpload to FacebookMost Active ProjectsRawrBlogEngine.NETMapWindow GISpatterns & practices – Enterprise LibraryjQuery Library for SharePoint Web ServicesMDT Web FrontEndsvn2tfsDiffPlex - a .NET Diff GeneratorIonics Isapi Rewrite FilterFarseer Physics Engine

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• Running a simple integration scenario using the Oracle Big Data Connectors on Hadoop/HDFS cluster

  - by hamsun

  Between the elephant ( the tradional image of the Hadoop framework) and the Oracle Iron Man (Big Data..) an english setter could be seen as the link to the right data Data, Data, Data, we are living in a world where data technology based on popular applications , search engines, Webservers, rich sms messages, email clients, weather forecasts and so on, have a predominant role in our life. More and more technologies are used to analyze/track our behavior, try to detect patterns, to propose us "the best/right user experience" from the Google Ad services, to Telco companies or large consumer sites (like Amazon:) ). The more we use all these technologies, the more we generate data, and thus there is a need of huge data marts and specific hardware/software servers (as the Exadata servers) in order to treat/analyze/understand the trends and offer new services to the users. Some of these "data feeds" are raw, unstructured data, and cannot be processed effectively by normal SQL queries. Large scale distributed processing was an emerging infrastructure need and the solution seemed to be the "collocation of compute nodes with the data", which in turn leaded to MapReduce parallel patterns and the development of the Hadoop framework, which is based on MapReduce and a distributed file system (HDFS) that runs on larger clusters of rather inexpensive servers. Several Oracle products are using the distributed / aggregation pattern for data calculation ( Coherence, NoSql, times ten ) so once that you are familiar with one of these technologies, lets says with coherence aggregators, you will find the whole Hadoop, MapReduce concept very similar. Oracle Big Data Appliance is based on the Cloudera Distribution (CDH), and the Oracle Big Data Connectors can be plugged on a Hadoop cluster running the CDH distribution or equivalent Hadoop clusters. In this paper, a "lab like" implementation of this concept is done on a single Linux X64 server, running an Oracle Database 11g Enterprise Edition Release 11.2.0.4.0, and a single node Apache hadoop-1.2.1 HDFS cluster, using the SQL connector for HDFS. The whole setup is fairly simple: Install on a Linux x64 server ( or virtual box appliance) an Oracle Database 11g Enterprise Edition Release 11.2.0.4.0 server Get the Apache Hadoop distribution from: http://mir2.ovh.net/ftp.apache.org/dist/hadoop/common/hadoop-1.2.1. Get the Oracle Big Data Connectors from: http://www.oracle.com/technetwork/bdc/big-data-connectors/downloads/index.html?ssSourceSiteId=ocomen. Check the java version of your Linux server with the command: java -version java version "1.7.0_40" Java(TM) SE Runtime Environment (build 1.7.0_40-b43) Java HotSpot(TM) 64-Bit Server VM (build 24.0-b56, mixed mode) Decompress the hadoop hadoop-1.2.1.tar.gz file to /u01/hadoop-1.2.1 Modify your .bash_profile export HADOOP_HOME=/u01/hadoop-1.2.1 export PATH=$PATH:$HADOOP_HOME/bin export HIVE_HOME=/u01/hive-0.11.0 export PATH=$PATH:$HADOOP_HOME/bin:$HIVE_HOME/bin (also see my sample .bash_profile) Set up ssh trust for Hadoop process, this is a mandatory step, in our case we have to establish a "local trust" as will are using a single node configuration copy the new public keys to the list of authorized keys connect and test the ssh setup to your localhost: We will run a "pseudo-Hadoop cluster", in what is called "local standalone mode", all the Hadoop java components are running in one Java process, this is enough for our demo purposes. We need to "fine tune" some Hadoop configuration files, we have to go at our $HADOOP_HOME/conf, and modify the files: core-site.xml hdfs-site.xml mapred-site.xml check that the hadoop binaries are referenced correctly from the command line by executing: hadoop -version As Hadoop is managing our "clustered HDFS" file system we have to create "the mount point" and format it , the mount point will be declared to core-site.xml as: The layout under the /u01/hadoop-1.2.1/data will be created and used by other hadoop components (MapReduce = /mapred/...) HDFS is using the /dfs/... layout structure format the HDFS hadoop file system: Start the java components for the HDFS system As an additional check, you can use the GUI Hadoop browsers to check the content of your HDFS configurations: Once our HDFS Hadoop setup is done you can use the HDFS file system to store data ( big data : )), and plug them back and forth to Oracle Databases by the means of the Big Data Connectors ( which is the next configuration step). You can create / use a Hive db, but in our case we will make a simple integration of "raw data" , through the creation of an External Table to a local Oracle instance ( on the same Linux box, we run the Hadoop HDFS one node cluster and one Oracle DB). Download some public "big data", I use the site: http://france.meteofrance.com/france/observations, from where I can get *.csv files for my big data simulations :). Here is the data layout of my example file: Download the Big Data Connector from the OTN (oraosch-2.2.0.zip), unzip it to your local file system (see picture below) Modify your environment in order to access the connector libraries , and make the following test: [oracle@dg1 bin]$./hdfs_stream Usage: hdfs_stream locationFile [oracle@dg1 bin]$ Load the data to the Hadoop hdfs file system: hadoop fs -mkdir bgtest_data hadoop fs -put obsFrance.txt bgtest_data/obsFrance.txt hadoop fs -ls /user/oracle/bgtest_data/obsFrance.txt [oracle@dg1 bg-data-raw]$ hadoop fs -ls /user/oracle/bgtest_data/obsFrance.txt Found 1 items -rw-r--r-- 1 oracle supergroup 54103 2013-10-22 06:10 /user/oracle/bgtest_data/obsFrance.txt [oracle@dg1 bg-data-raw]$hadoop fs -ls hdfs:///user/oracle/bgtest_data/obsFrance.txt Found 1 items -rw-r--r-- 1 oracle supergroup 54103 2013-10-22 06:10 /user/oracle/bgtest_data/obsFrance.txt Check the content of the HDFS with the browser UI: Start the Oracle database, and run the following script in order to create the Oracle database user, the Oracle directories for the Oracle Big Data Connector (dg1 it’s my own db id replace accordingly yours): #!/bin/bash export ORAENV_ASK=NO export ORACLE_SID=dg1 . oraenv sqlplus /nolog <<EOF CONNECT / AS sysdba; CREATE OR REPLACE DIRECTORY osch_bin_path AS '/u01/orahdfs-2.2.0/bin'; CREATE USER BGUSER IDENTIFIED BY oracle; GRANT CREATE SESSION, CREATE TABLE TO BGUSER; GRANT EXECUTE ON sys.utl_file TO BGUSER; GRANT READ, EXECUTE ON DIRECTORY osch_bin_path TO BGUSER; CREATE OR REPLACE DIRECTORY BGT_LOG_DIR as '/u01/BG_TEST/logs'; GRANT READ, WRITE ON DIRECTORY BGT_LOG_DIR to BGUSER; CREATE OR REPLACE DIRECTORY BGT_DATA_DIR as '/u01/BG_TEST/data'; GRANT READ, WRITE ON DIRECTORY BGT_DATA_DIR to BGUSER; EOF Put the following in a file named t3.sh and make it executable, hadoop jar $OSCH_HOME/jlib/orahdfs.jar \ oracle.hadoop.exttab.ExternalTable \ -D oracle.hadoop.exttab.tableName=BGTEST_DP_XTAB \ -D oracle.hadoop.exttab.defaultDirectory=BGT_DATA_DIR \ -D oracle.hadoop.exttab.dataPaths="hdfs:///user/oracle/bgtest_data/obsFrance.txt" \ -D oracle.hadoop.exttab.columnCount=7 \ -D oracle.hadoop.connection.url=jdbc:oracle:thin:@//localhost:1521/dg1 \ -D oracle.hadoop.connection.user=BGUSER \ -D oracle.hadoop.exttab.printStackTrace=true \ -createTable --noexecute then test the creation fo the external table with it: [oracle@dg1 samples]$ ./t3.sh ./t3.sh: line 2: /u01/orahdfs-2.2.0: Is a directory Oracle SQL Connector for HDFS Release 2.2.0 - Production Copyright (c) 2011, 2013, Oracle and/or its affiliates. All rights reserved. Enter Database Password:] The create table command was not executed. The following table would be created. CREATE TABLE "BGUSER"."BGTEST_DP_XTAB" ( "C1" VARCHAR2(4000), "C2" VARCHAR2(4000), "C3" VARCHAR2(4000), "C4" VARCHAR2(4000), "C5" VARCHAR2(4000), "C6" VARCHAR2(4000), "C7" VARCHAR2(4000) ) ORGANIZATION EXTERNAL ( TYPE ORACLE_LOADER DEFAULT DIRECTORY "BGT_DATA_DIR" ACCESS PARAMETERS ( RECORDS DELIMITED BY 0X'0A' CHARACTERSET AL32UTF8 STRING SIZES ARE IN CHARACTERS PREPROCESSOR "OSCH_BIN_PATH":'hdfs_stream' FIELDS TERMINATED BY 0X'2C' MISSING FIELD VALUES ARE NULL ( "C1" CHAR(4000), "C2" CHAR(4000), "C3" CHAR(4000), "C4" CHAR(4000), "C5" CHAR(4000), "C6" CHAR(4000), "C7" CHAR(4000) ) ) LOCATION ( 'osch-20131022081035-74-1' ) ) PARALLEL REJECT LIMIT UNLIMITED; The following location files would be created. osch-20131022081035-74-1 contains 1 URI, 54103 bytes 54103 hdfs://localhost:19000/user/oracle/bgtest_data/obsFrance.txt Then remove the --noexecute flag and create the external Oracle table for the Hadoop data. Check the results: The create table command succeeded. CREATE TABLE "BGUSER"."BGTEST_DP_XTAB" ( "C1" VARCHAR2(4000), "C2" VARCHAR2(4000), "C3" VARCHAR2(4000), "C4" VARCHAR2(4000), "C5" VARCHAR2(4000), "C6" VARCHAR2(4000), "C7" VARCHAR2(4000) ) ORGANIZATION EXTERNAL ( TYPE ORACLE_LOADER DEFAULT DIRECTORY "BGT_DATA_DIR" ACCESS PARAMETERS ( RECORDS DELIMITED BY 0X'0A' CHARACTERSET AL32UTF8 STRING SIZES ARE IN CHARACTERS PREPROCESSOR "OSCH_BIN_PATH":'hdfs_stream' FIELDS TERMINATED BY 0X'2C' MISSING FIELD VALUES ARE NULL ( "C1" CHAR(4000), "C2" CHAR(4000), "C3" CHAR(4000), "C4" CHAR(4000), "C5" CHAR(4000), "C6" CHAR(4000), "C7" CHAR(4000) ) ) LOCATION ( 'osch-20131022081719-3239-1' ) ) PARALLEL REJECT LIMIT UNLIMITED; The following location files were created. osch-20131022081719-3239-1 contains 1 URI, 54103 bytes 54103 hdfs://localhost:19000/user/oracle/bgtest_data/obsFrance.txt This is the view from the SQL Developer: and finally the number of lines in the oracle table, imported from our Hadoop HDFS cluster SQL select count(*) from "BGUSER"."BGTEST_DP_XTAB"; COUNT(*) ---------- 1151 In a next post we will integrate data from a Hive database, and try some ODI integrations with the ODI Big Data connector. Our simplistic approach is just a step to show you how these unstructured data world can be integrated to Oracle infrastructure. Hadoop, BigData, NoSql are great technologies, they are widely used and Oracle is offering a large integration infrastructure based on these services. Oracle University presents a complete curriculum on all the Oracle related technologies: NoSQL: Introduction to Oracle NoSQL Database Using Oracle NoSQL Database Big Data: Introduction to Big Data Oracle Big Data Essentials Oracle Big Data Overview Oracle Data Integrator: Oracle Data Integrator 12c: New Features Oracle Data Integrator 11g: Integration and Administration Oracle Data Integrator: Administration and Development Oracle Data Integrator 11g: Advanced Integration and Development Oracle Coherence 12c: Oracle Coherence 12c: New Features Oracle Coherence 12c: Share and Manage Data in Clusters Oracle Coherence 12c: Oracle GoldenGate 11g: Fundamentals for Oracle Oracle GoldenGate 11g: Fundamentals for SQL Server Oracle GoldenGate 11g Fundamentals for Oracle Oracle GoldenGate 11g Fundamentals for DB2 Oracle GoldenGate 11g Fundamentals for Teradata Oracle GoldenGate 11g Fundamentals for HP NonStop Oracle GoldenGate 11g Management Pack: Overview Oracle GoldenGate 11g Troubleshooting and Tuning Oracle GoldenGate 11g: Advanced Configuration for Oracle Other Resources: Apache Hadoop : http://hadoop.apache.org/ is the homepage for these technologies. "Hadoop Definitive Guide 3rdEdition" by Tom White is a classical lecture for people who want to know more about Hadoop , and some active "googling " will also give you some more references. About the author: Eugene Simos is based in France and joined Oracle through the BEA-Weblogic Acquisition, where he worked for the Professional Service, Support, end Education for major accounts across the EMEA Region. He worked in the banking sector, ATT, Telco companies giving him extensive experience on production environments. Eugen currently specializes in Oracle Fusion Middleware teaching an array of courses on Weblogic/Webcenter, Content,BPM /SOA/Identity-Security/GoldenGate/Virtualisation/Unified Comm Suite) throughout the EMEA region.

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• Generating strongly biased radom numbers for tests

  - by nobody

  I want to run tests with randomized inputs and need to generate 'sensible' random numbers, that is, numbers that match good enough to pass the tested function's preconditions, but hopefully wreak havoc deeper inside its code. math.random() (I'm using Lua) produces uniformly distributed random numbers. Scaling these up will give far more big numbers than small numbers, and there will be very few integers. I would like to skew the random numbers (or generate new ones using the old function as a randomness source) in a way that strongly favors 'simple' numbers, but will still cover the whole range, I.e. extending up to positive/negative infinity (or ±1e309 for double). This means: numbers up to, say, ten should be most common, integers should be more common than fractions, numbers ending in 0.5 should be the most common fractions, followed by 0.25 and 0.75; then 0.125, and so on. A different description: Fix a base probability x such that probabilities will sum to one and define the probability of a number n as xk where k is the generation in which n is constructed as a surreal number1. That assigns x to 0, x2 to -1 and +1, x3 to -2, -1/2, +1/2 and +2, and so on. This gives a nice description of something close to what I want (it skews a bit too much), but is near-unusable for computing random numbers. The resulting distribution is nowhere continuous (it's fractal!), I'm not sure how to determine the base probability x (I think for infinite precision it would be zero), and computing numbers based on this by iteration is awfully slow (spending near-infinite time to construct large numbers). Does anyone know of a simple approximation that, given a uniformly distributed randomness source, produces random numbers very roughly distributed as described above? I would like to run thousands of randomized tests, quantity/speed is more important than quality. Still, better numbers mean less inputs get rejected. Lua has a JIT, so performance can't be reasonably predicted. Jumps based on randomness will break every prediction, and many calls to math.random() will be slow, too. This means a closed formula will be better than an iterative or recursive one. 1 Wikipedia has an article on surreal numbers, with a nice picture. A surreal number is a pair of two surreal numbers, i.e. x := {n|m}, and its value is the number in the middle of the pair, i.e. (for finite numbers) {n|m} = (n+m)/2 (as rational). If one side of the pair is empty, that's interpreted as increment (or decrement, if right is empty) by one. If both sides are empty, that's zero. Initially, there are no numbers, so the only number one can build is 0 := { | }. In generation two one can build numbers {0| } =: 1 and { |0} =: -1, in three we get {1| } =: 2, {|1} =: -2, {0|1} =: 1/2 and {-1|0} =: -1/2 (plus some more complex representations of known numbers, e.g. {-1|1} ? 0). Note that e.g. 1/3 is never generated by finite numbers because it is an infinite fraction – the same goes for floats, 1/3 is never represented exactly.

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• Issue accessing remote Infinispan mbeans

  - by user1960172

  I am able to access the Mbeans by local Jconsole but not able to access the MBEANS from a remote Host. My COnfiguration: <?xml version='1.0' encoding='UTF-8'?> <server xmlns="urn:jboss:domain:1.4"> <extensions> <extension module="org.infinispan.server.endpoint"/> <extension module="org.jboss.as.clustering.infinispan"/> <extension module="org.jboss.as.clustering.jgroups"/> <extension module="org.jboss.as.connector"/> <extension module="org.jboss.as.jdr"/> <extension module="org.jboss.as.jmx"/> <extension module="org.jboss.as.logging"/> <extension module="org.jboss.as.modcluster"/> <extension module="org.jboss.as.naming"/> <extension module="org.jboss.as.remoting"/> <extension module="org.jboss.as.security"/> <extension module="org.jboss.as.threads"/> <extension module="org.jboss.as.transactions"/> <extension module="org.jboss.as.web"/> </extensions> <management> <security-realms> <security-realm name="ManagementRealm"> <authentication> <local default-user="$local"/> <properties path="mgmt-users.properties" relative-to="jboss.server.config.dir"/> </authentication> </security-realm> <security-realm name="ApplicationRealm"> <authentication> <local default-user="$local" allowed-users="*"/> <properties path="application-users.properties" relative-to="jboss.server.config.dir"/> </authentication> </security-realm> </security-realms> <management-interfaces> <native-interface security-realm="ManagementRealm"> <socket-binding native="management-native"/> </native-interface> <http-interface security-realm="ManagementRealm"> <socket-binding http="management-http"/> </http-interface> </management-interfaces> </management> <profile> <subsystem xmlns="urn:jboss:domain:logging:1.2"> <console-handler name="CONSOLE"> <level name="INFO"/> <formatter> <pattern-formatter pattern="%K{level}%d{HH:mm:ss,SSS} %-5p [%c] (%t) %s%E%n"/> </formatter> </console-handler> <periodic-rotating-file-handler name="FILE" autoflush="true"> <formatter> <pattern-formatter pattern="%d{HH:mm:ss,SSS} %-5p [%c] (%t) %s%E%n"/> </formatter> <file relative-to="jboss.server.log.dir" path="server.log"/> <suffix value=".yyyy-MM-dd"/> <append value="true"/> </periodic-rotating-file-handler> <logger category="com.arjuna"> <level name="WARN"/> </logger> <logger category="org.apache.tomcat.util.modeler"> <level name="WARN"/> </logger> <logger category="org.jboss.as.config"> <level name="DEBUG"/> </logger> <logger category="sun.rmi"> <level name="WARN"/> </logger> <logger category="jacorb"> <level name="WARN"/> </logger> <logger category="jacorb.config"> <level name="ERROR"/> </logger> <root-logger> <level name="INFO"/> <handlers> <handler name="CONSOLE"/> <handler name="FILE"/> </handlers> </root-logger> </subsystem> <subsystem xmlns="urn:infinispan:server:endpoint:6.0"> <hotrod-connector socket-binding="hotrod" cache-container="clustered"> <topology-state-transfer lazy-retrieval="false" lock-timeout="1000" replication-timeout="5000"/> </hotrod-connector> <memcached-connector socket-binding="memcached" cache-container="clustered"/> <!--<rest-connector virtual-server="default-host" cache-container="clustered" security-domain="other" auth-method="BASIC"/> --> <rest-connector virtual-server="default-host" cache-container="clustered" /> <websocket-connector socket-binding="websocket" cache-container="clustered"/> </subsystem> <subsystem xmlns="urn:jboss:domain:datasources:1.1"> <datasources/> </subsystem> <subsystem xmlns="urn:infinispan:server:core:5.3" default-cache-container="clustered"> <cache-container name="clustered" default-cache="default"> <transport executor="infinispan-transport" lock-timeout="60000"/> <distributed-cache name="default" mode="SYNC" segments="20" owners="2" remote-timeout="30000" start="EAGER"> <locking isolation="READ_COMMITTED" acquire-timeout="30000" concurrency-level="1000" striping="false"/> <transaction mode="NONE"/> </distributed-cache> <distributed-cache name="memcachedCache" mode="SYNC" segments="20" owners="2" remote-timeout="30000" start="EAGER"> <locking isolation="READ_COMMITTED" acquire-timeout="30000" concurrency-level="1000" striping="false"/> <transaction mode="NONE"/> </distributed-cache> <distributed-cache name="namedCache" mode="SYNC" start="EAGER"/> </cache-container> <cache-container name="security"/> </subsystem> <subsystem xmlns="urn:jboss:domain:jca:1.1"> <archive-validation enabled="true" fail-on-error="true" fail-on-warn="false"/> <bean-validation enabled="true"/> <default-workmanager> <short-running-threads> <core-threads count="50"/> <queue-length count="50"/> <max-threads count="50"/> <keepalive-time time="10" unit="seconds"/> </short-running-threads> <long-running-threads> <core-threads count="50"/> <queue-length count="50"/> <max-threads count="50"/> <keepalive-time time="10" unit="seconds"/> </long-running-threads> </default-workmanager> <cached-connection-manager/> </subsystem> <subsystem xmlns="urn:jboss:domain:jdr:1.0"/> <subsystem xmlns="urn:jboss:domain:jgroups:1.2" default-stack="${jboss.default.jgroups.stack:udp}"> <stack name="udp"> <transport type="UDP" socket-binding="jgroups-udp"/> <protocol type="PING"/> <protocol type="MERGE2"/> <protocol type="FD_SOCK" socket-binding="jgroups-udp-fd"/> <protocol type="FD_ALL"/> <protocol type="pbcast.NAKACK"/> <protocol type="UNICAST2"/> <protocol type="pbcast.STABLE"/> <protocol type="pbcast.GMS"/> <protocol type="UFC"/> <protocol type="MFC"/> <protocol type="FRAG2"/> <protocol type="RSVP"/> </stack> <stack name="tcp"> <transport type="TCP" socket-binding="jgroups-tcp"/> <!--<protocol type="MPING" socket-binding="jgroups-mping"/>--> <protocol type="TCPPING"> <property name="initial_hosts">10.32.50.53[7600],10.32.50.64[7600]</property> </protocol> <protocol type="MERGE2"/> <protocol type="FD_SOCK" socket-binding="jgroups-tcp-fd"/> <protocol type="FD"/> <protocol type="VERIFY_SUSPECT"/> <protocol type="pbcast.NAKACK"> <property name="use_mcast_xmit">false</property> </protocol> <protocol type="UNICAST2"/> <protocol type="pbcast.STABLE"/> <protocol type="pbcast.GMS"/> <protocol type="UFC"/> <protocol type="MFC"/> <protocol type="FRAG2"/> <protocol type="RSVP"/> </stack> </subsystem> <subsystem xmlns="urn:jboss:domain:jmx:1.1"> <show-model value="true"/> <remoting-connector use-management-endpoint="false"/> </subsystem> <subsystem xmlns="urn:jboss:domain:modcluster:1.1"> <mod-cluster-config advertise-socket="modcluster" connector="ajp" excluded-contexts="console"> <dynamic-load-provider> <load-metric type="busyness"/> </dynamic-load-provider> </mod-cluster-config> </subsystem> <subsystem xmlns="urn:jboss:domain:naming:1.2"/> <subsystem xmlns="urn:jboss:domain:remoting:1.1"> <connector name="remoting-connector" socket-binding="remoting" security-realm="ApplicationRealm"/> </subsystem> <subsystem xmlns="urn:jboss:domain:security:1.2"> <security-domains> <security-domain name="other" cache-type="infinispan"> <authentication> <login-module code="Remoting" flag="optional"> <module-option name="password-stacking" value="useFirstPass"/> </login-module> <login-module code="RealmUsersRoles" flag="required"> <module-option name="usersProperties" value="${jboss.server.config.dir}/application-users.properties"/> <module-option name="rolesProperties" value="${jboss.server.config.dir}/application-roles.properties"/> <module-option name="realm" value="ApplicationRealm"/> <module-option name="password-stacking" value="useFirstPass"/> </login-module> </authentication> </security-domain> <security-domain name="jboss-web-policy" cache-type="infinispan"> <authorization> <policy-module code="Delegating" flag="required"/> </authorization> </security-domain> </security-domains> </subsystem> <subsystem xmlns="urn:jboss:domain:threads:1.1"> <thread-factory name="infinispan-factory" group-name="infinispan" priority="5"/> <unbounded-queue-thread-pool name="infinispan-transport"> <max-threads count="25"/> <keepalive-time time="0" unit="milliseconds"/> <thread-factory name="infinispan-factory"/> </unbounded-queue-thread-pool> </subsystem> <subsystem xmlns="urn:jboss:domain:transactions:1.2"> <core-environment> <process-id> <uuid/> </process-id> </core-environment> <recovery-environment socket-binding="txn-recovery-environment" status-socket-binding="txn-status-manager"/> <coordinator-environment default-timeout="300"/> </subsystem> <subsystem xmlns="urn:jboss:domain:web:1.1" default-virtual-server="default-host" native="false"> <connector name="http" protocol="HTTP/1.1" scheme="http" socket-binding="http"/> <connector name="ajp" protocol="AJP/1.3" scheme="http" socket-binding="ajp"/> <virtual-server name="default-host" enable-welcome-root="false"> <alias name="localhost"/> <alias name="example.com"/> </virtual-server> </subsystem> </profile> <interfaces> <interface name="management"> <inet-address value="${jboss.bind.address.management:10.32.222.111}"/> </interface> <interface name="public"> <inet-address value="${jboss.bind.address:10.32.222.111}"/> </interface> </interfaces> <socket-binding-group name="standard-sockets" default-interface="public" port-offset="${jboss.socket.binding.port-offset:0}"> <socket-binding name="management-native" interface="management" port="${jboss.management.native.port:9999}"/> <socket-binding name="management-http" interface="management" port="${jboss.management.http.port:9990}"/> <socket-binding name="management-https" interface="management" port="${jboss.management.https.port:9443}"/> <socket-binding name="ajp" port="8089"/> <socket-binding name="hotrod" port="11222"/> <socket-binding name="http" port="8080"/> <socket-binding name="https" port="8443"/> <socket-binding name="jgroups-mping" port="0" multicast-address="${jboss.default.multicast.address:234.99.54.14}" multicast-port="45700"/> <socket-binding name="jgroups-tcp" port="7600"/> <socket-binding name="jgroups-tcp-fd" port="57600"/> <socket-binding name="jgroups-udp" port="55200" multicast-address="${jboss.default.multicast.address:234.99.54.14}" multicast-port="45688"/> <socket-binding name="jgroups-udp-fd" port="54200"/> <socket-binding name="memcached" port="11211"/> <socket-binding name="modcluster" port="0" multicast-address="224.0.1.115" multicast-port="23364"/> <socket-binding name="remoting" port="4447"/> <socket-binding name="txn-recovery-environment" port="4712"/> <socket-binding name="txn-status-manager" port="4713"/> <socket-binding name="websocket" port="8181"/> </socket-binding-group> </server> Remote Process: service:jmx:remoting-jmx://10.32.222.111:4447 I added user to both management and application realm admin=2a0923285184943425d1f53ddd58ec7a test=2b1be81e1da41d4ea647bd82fc8c2bc9 But when i try to connect its says's: Connection failed: Retry When i use Remote process as:10.32.222.111:4447 on the sever it prompts a warning : 16:29:48,084 ERROR [org.jboss.remoting.remote.connection] (Remoting "djd7w4r1" read-1) JBREM000200: Remote connection failed: java.io.IOException: Received an invali d message length of -2140864253 Also disabled Remote authentication: -Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.port=12345 Still not able to connect. Any help will be highly appreciated . Thanks

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• Mobile HCM: It’s not the future, it is right now

  - by Natalia Rachelson

  Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Calibri","sans-serif"; mso-ascii- mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi- mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} A guest post by Steve Boese, Director Product Strategy, Oracle I’ll bet you reached for your iPhone or Android or BlackBerry and took a quick look at email or Facebook or last night’s text messages before you even got out of bed this morning. Come on, admit it, it’s ok, you are among friends here. See, feel better now? But seriously, the incredible growth and near-ubiquity of increasingly powerful, capable, and for many of us, essential in our daily lives mobile devices has profoundly changed the way we communicate, consume information, socialize, and more and more, conduct business and get our work done. And if you doubt that profound change has happened, just think for a moment about the last time you misplaced your iPhone.  The shivers, the cold sweats, the panic... We have all been there. And indeed your personal experiences with mobile technology echoes throughout the world - here are a few data points to consider: Market research firm IDC estimates 1.8 billion mobile phones will be shipped in 2012. A recent Pew study reports 46% of Americans own a smartphone of some kind. And finally in the USA, ownership of tablets like the iPad has doubled from 10% to 19% in the last year. So truly for the Human Resources leader, the question is no longer, ‘Should HR explore ways to exploit mobile devices and their always-on nature to better support and empower the modern workforce?’, but rather ‘How can HR best take advantage of smartphone and tablet capability to provide information, enable transactions, and enhance decision making?’. Because even though moving HCM applications to mobile devices seems inherently logical given today’s fast-moving and mobile workforces, and its promise to deliver incredible value to the organization, HR leaders also have to consider many factors before devising their Mobile HCM strategy and embarking on mobile HR technology projects. Here are just some of the important considerations for HR leaders as you build your strategies and evaluate mobile HCM solutions: Does your organization provide mobile devices to the workforce today, and if so, will the current set of deployed devices have the necessary capability and ecosystems to support your mobile HCM initiatives? Will you allow workers to use or bring their own mobile devices, (commonly abbreviated as ‘BYOD’), and if so are your IT and Security organizations in agreement and capable of supporting that strategy? Do you know which workers need access to mobile HCM applications? Often mobile HCM capability flows down in an organization, with executives and other ‘road-warrior’ types having the most immediate needs, followed by field sales staff, project managers, and even potential job candidates. But just as an organization will have to spend time understanding ‘who’ should have access to mobile HCM technology, the ‘what’ of the way the solutions should be deployed to these groups will also vary. What works and makes sense for the executive, (company-wide dashboards and analytics on an iPad), might not be as relevant for a retail store manager, (employee schedules, location-level sales and inventory data, transaction approvals, etc.). With Oracle Fusion HCM, we are taking an approach to mobile HR that encompasses not just the mobile solution needs for the various types of worker, but also incorporates the fundamental attributes of great mobile applications - the ability to support end-to-end transactions, apps that respond with lightning-fast speed, with functions that are embedded in a worker’s daily activities, and features that can be mashed-up easily with other business areas like Finance and CRM. Finally, and perhaps most importantly for the Oracle Fusion HCM team, delivering mobile experiences that truly enhance, enable, and empower the mobile workforce, and deliver on the design mantras of the best-in-class consumer applications, continues to shape and drive design decisions. Mobile is no longer the future, it is right now, and the cutting-edge HR leader of today will need to consider how mobile fits her HCM technology strategy from here on out. You can learn more about our ideas and plans for Oracle Fusion HCM mobile solutions at https://fusiontap.oracle.com/.

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• SQL SERVER – Find Largest Supported DML Operation – Question to You

  - by pinaldave

  SQL Server is very big and it is not possible to know everything in SQL Server but we all keep learning. Recently I was going over the best practices of transactions log and I come across following statement. The log size must be at least twice the size of largest supported DML operation (using uncompressed data volumes). First of all I totally agree with this statement. However, here is my question – How do we measure the size of the largest supported DML operation? I welcome all the opinion and suggestions. I will combine the list and will share that with all of you with due credit. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Best Practices, Pinal Dave, Readers Contribution, Readers Question, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, SQLServer, T SQL, Technology

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• SQL SERVER – Beginning of SQL Server Architecture – Terminology – Guest Post

  - by pinaldave

  SQL Server Architecture is a very deep subject. Covering it in a single post is an almost impossible task. However, this subject is very popular topic among beginners and advanced users.  I have requested my friend Anil Kumar who is expert in SQL Domain to help me write  a simple post about Beginning SQL Server Architecture. As stated earlier this subject is very deep subject and in this first article series he has covered basic terminologies. In future article he will explore the subject further down. Anil Kumar Yadav is Trainer, SQL Domain, Koenig Solutions. Koenig is a premier IT training firm that provides several IT certifications, such as Oracle 11g, Server+, RHCA, SQL Server Training, Prince2 Foundation etc. In this Article we will discuss about MS SQL Server architecture. The major components of SQL Server are: Relational Engine Storage Engine SQL OS Now we will discuss and understand each one of them. 1) Relational Engine: Also called as the query processor, Relational Engine includes the components of SQL Server that determine what your query exactly needs to do and the best way to do it. It manages the execution of queries as it requests data from the storage engine and processes the results returned. Different Tasks of Relational Engine: Query Processing Memory Management Thread and Task Management Buffer Management Distributed Query Processing 2) Storage Engine: Storage Engine is responsible for storage and retrieval of the data on to the storage system (Disk, SAN etc.). to understand more, let’s focus on the following diagram. When we talk about any database in SQL server, there are 2 types of files that are created at the disk level – Data file and Log file. Data file physically stores the data in data pages. Log files that are also known as write ahead logs, are used for storing transactions performed on the database. Let’s understand data file and log file in more details: Data File: Data File stores data in the form of Data Page (8KB) and these data pages are logically organized in extents. Extents: Extents are logical units in the database. They are a combination of 8 data pages i.e. 64 KB forms an extent. Extents can be of two types, Mixed and Uniform. Mixed extents hold different types of pages like index, System, Object data etc. On the other hand, Uniform extents are dedicated to only one type. Pages: As we should know what type of data pages can be stored in SQL Server, below mentioned are some of them: Data Page: It holds the data entered by the user but not the data which is of type text, ntext, nvarchar(max), varchar(max), varbinary(max), image and xml data. Index: It stores the index entries. Text/Image: It stores LOB ( Large Object data) like text, ntext, varchar(max), nvarchar(max),  varbinary(max), image and xml data. GAM & SGAM (Global Allocation Map & Shared Global Allocation Map): They are used for saving information related to the allocation of extents. PFS (Page Free Space): Information related to page allocation and unused space available on pages. IAM (Index Allocation Map): Information pertaining to extents that are used by a table or index per allocation unit. BCM (Bulk Changed Map): Keeps information about the extents changed in a Bulk Operation. DCM (Differential Change Map): This is the information of extents that have modified since the last BACKUP DATABASE statement as per allocation unit. Log File: It also known as write ahead log. It stores modification to the database (DML and DDL). Sufficient information is logged to be able to: Roll back transactions if requested Recover the database in case of failure Write Ahead Logging is used to create log entries Transaction logs are written in chronological order in a circular way Truncation policy for logs is based on the recovery model SQL OS: This lies between the host machine (Windows OS) and SQL Server. All the activities performed on database engine are taken care of by SQL OS. It is a highly configurable operating system with powerful API (application programming interface), enabling automatic locality and advanced parallelism. SQL OS provides various operating system services, such as memory management deals with buffer pool, log buffer and deadlock detection using the blocking and locking structure. Other services include exception handling, hosting for external components like Common Language Runtime, CLR etc. I guess this brief article gives you an idea about the various terminologies used related to SQL Server Architecture. In future articles we will explore them further. Guest Author  The author of the article is Anil Kumar Yadav is Trainer, SQL Domain, Koenig Solutions. Koenig is a premier IT training firm that provides several IT certifications, such as Oracle 11g, Server+, RHCA, SQL Server Training, Prince2 Foundation etc. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Security, SQL Server, SQL Tips and Tricks, SQL Training, T SQL, Technology

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• Fundtech’s Global PAYplus Achieves Oracle Exadata and Oracle Exalogic Optimized Status

  - by Javier Puerta

  Fundtech, a leader in global transaction banking solutions, has announced  that Global PAYplus® – Services Platform (GPP-SP) version 4 has achieved Oracle Exadata Optimized and Oracle Exalogic Optimized status. (Read full announcement here) "GPP-SP testing was done in the third quarter of 2012 in the Oracle Exastack Lab located in the Oracle Solution Center in Linlithgow, Scotland. It showed that an integrated solution can result in a highly streamlined installation, enabling reduced cost of evaluation, acquisition and ownership. Highlights of the transaction processing test are as follows: 9.3 million Mass Payments per hour 5.7 million Single Payments per hour The test found that the optimized combination of GPP-SP running on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud is able to increase transactions per second (TPS) output per core, and able to reduce total cost of ownership (TCO). The volumes achieved were using only 25% of Exadata/Exalogic processing capacity".

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• China’s Better Life Selects Oracle® Retail to Support Hypermarket Growth

  - by user801960

  On Monday, China’s first multi-format retailer, Better Life Commercial Chain Share Co. announced that it has selected a broad selection of Oracle solutions including specific Oracle Retail applications to support the growth of its hypermarket operations. Better Life currently operates 186 hypermarkets, department stores, consumer electronics stores, as well as entertainment and real estate operations across Southern China. The company’s expansion strategy for its hypermarket business is integral to its overall plan for rapid growth in an increasingly competitive market and after evaluating Oracle and SAP, Better Life identified a range of Oracle solutions including components of Oracle Retail Merchandising Operations Management, Oracle Retail Merchandise Planning and Optimization, and Oracle Retail In-Store Operations as key enablers to optimizing its operations. The Oracle Retail offering will help Better Life to create a consolidated view of product, price, inventory and associated back office information that facilitates improved fulfilment of customer demand.  These solutions will also provide a better understanding of inventory from buying through store transactions, delivering actionable insight with which it can make smarter, more profitable decisions around planning, forecasting and replenishment. You can read the full blog post here: http://www.oracle.com/us/corporate/press/1680357

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• Markus Zirn, "Big Data with CEP and SOA" @ SOA, Cloud &amp; Service Technology Symposium 2012

  - by JuergenKress

  ORACLE PROMOTIONAL DISCOUNT FOR EXCLUSIVE ORACLE DISCOUNT, ENTER PROMO CODE: DJMXZ370 Early-Bird Registration is Now Open with Special Pricing! Register before July 1, 2012 to qualify for discounts. Visit the Registration page for details. The International SOA, Cloud + Service Technology Symposium is a yearly event that features the top experts and authors from around the world, providing a series of keynotes, talks, demonstrations, and panels, as well as training and certification workshops - all dedicated to empowering IT professionals to realize modern service technologies and practices in the real world. Click here for a two-page printable conference overview (PDF). Big Data with CEP and SOA - September 25, 2012 - 14:15 Speaker: Markus Zirn, Oracle and Baz Kuthi, Avocent The "Big Data" trend is driving new kinds of IT projects that process machine-generated data. Such projects store and mine using Hadoop/ Map Reduce, but they also analyze streaming data via event-driven patterns, which can be called "Fast Data" complementary to "Big Data". This session highlights how "Big Data" and "Fast Data" design patterns can be combined with SOA design principles into modern, event-driven architectures. We will describe specific architectures that combines CEP, Distributed Caching, Event-driven Network, SOA Composites, Application Development Framework, as well as Hadoop. Architecture patterns include pre-processing and filtering event streams as close as possible to the event source, in memory master data for event pattern matching, event-driven user interfaces as well as distributed event processing. Focus is on how "Fast Data" requirements are elegantly integrated into a traditional SOA architecture. Markus Zirn is Vice President of Product Management covering Oracle SOA Suite, SOA Governance, Application Integration Architecture, BPM, BPM Solutions, Complex Event Processing and UPK, an end user learning solution. He is the author of “The BPEL Cookbook” (rated best book on Services Oriented Architecture in 2007) as well as “Fusion Middleware Patterns”. Previously, he was a management consultant with Booz Allen & Hamilton’s High Tech practice in Duesseldorf as well as San Francisco and Vice President of Product Marketing at QUIQ. Mr. Zirn holds a Masters of Electrical Engineering from the University of Karlsruhe and is an alumnus of the Tripartite program, a joint European degree from the University of Karlsruhe, Germany, the University of Southampton, UK, and ESIEE, France. KEYNOTES & SPEAKERS More than 80 international subject matter experts will be speaking at the Symposium. Below are confirmed keynotes and speakers so far. Over 50% of the agenda has not yet been finalized. Many more speakers to come. View the partial program calendars on the Conference Agenda page. CONFERENCE THEMES & TRACKS Cloud Computing Architecture & Patterns New SOA & Service-Orientation Practices & Models Emerging Service Technology Innovation Service Modeling & Analysis Techniques Service Infrastructure & Virtualization Cloud-based Enterprise Architecture Business Planning for Cloud Computing Projects Real World Case Studies Semantic Web Technologies (with & without the Cloud) Governance Frameworks for SOA and/or Cloud Computing Projects Service Engineering & Service Programming Techniques Interactive Services & the Human Factor New REST & Web Services Tools & Techniques Oracle Specialized SOA & BPM Partners Oracle Specialized partners have proven their skills by certifications and customer references. To find a local Specialized partner please visit http://solutions.oracle.com SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: Markus Zirn,SOA Symposium,Thomas Erl,SOA Community,Oracle SOA,Oracle BPM,BPM Community,OPN,Jürgen Kress

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• Windows Azure Use Case: Web Applications

  - by BuckWoody

  This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx  Description: Many applications have a requirement to be located outside of the organization’s internal infrastructure control. For instance, the company website for a brick-and-mortar retail company may want to post not only static but interactive content to be available to their external customers, and not want the customers to have access inside the organization’s firewall. There are also cases of pure web applications used for a great many of the internal functions of the business. This allows for remote workers, shared customer/employee workloads and data and other advantages. Some firms choose to host these web servers internally, others choose to contract out the infrastructure to an “ASP” (Application Service Provider) or an Infrastructure as a Service (IaaS) company. In any case, the design of these applications often resembles the following: In this design, a server (or perhaps more than one) hosts the presentation function (http or https) access to the application, and this same system may hold the computational aspects of the program. Authorization and Access is controlled programmatically, or is more open if this is a customer-facing application. Storage is either placed on the same or other servers, hosted within an RDBMS or NoSQL database, or a combination of the options, all coded into the application. High-Availability within this scenario is often the responsibility of the architects of the application, and by purchasing more hosting resources which must be built, licensed and configured, and manually added as demand requires, although some IaaS providers have a partially automatic method to add nodes for scale-out, if the architecture of the application supports it. Disaster Recovery is the responsibility of the system architect as well. Implementation: In a Windows Azure Platform as a Service (PaaS) environment, many of these architectural considerations are designed into the system. The Azure “Fabric” (not to be confused with the Azure implementation of Application Fabric - more on that in a moment) is designed to provide scalability. Compute resources can be added and removed programmatically based on any number of factors. Balancers at the request-level of the Fabric automatically route http and https requests. The fabric also provides High-Availability for storage and other components. Disaster recovery is a shared responsibility between the facilities (which have the ability to restore in case of catastrophic failure) and your code, which should build in recovery. In a Windows Azure-based web application, you have the ability to separate out the various functions and components. Presentation can be coded for multiple platforms like smart phones, tablets and PC’s, while the computation can be a single entity shared between them. This makes the applications more resilient and more object-oriented, and lends itself to a SOA or Distributed Computing architecture. It is true that you could code up a similar set of functionality in a traditional web-farm, but the difference here is that the components are built into the very design of the architecture. The API’s and DLL’s you call in a Windows Azure code base contains components as first-class citizens. For instance, if you need storage, it is simply called within the application as an object.  Computation has multiple options and the ability to scale linearly. You also gain another component that you would either have to write or bolt-in to a typical web-farm: the Application Fabric. This Windows Azure component provides communication between applications or even to on-premise systems. It provides authorization in either person-based or claims-based perspectives. SQL Azure provides relational storage as another option, and can also be used or accessed from on-premise systems. It should be noted that you can use all or some of these components individually. Resources: Design Strategies for Scalable Active Server Applications - http://msdn.microsoft.com/en-us/library/ms972349.aspx  Physical Tiers and Deployment  - http://msdn.microsoft.com/en-us/library/ee658120.aspx

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• NoSQL Memcached API for MySQL: Latest Updates

  - by Mat Keep

  With data volumes exploding, it is vital to be able to ingest and query data at high speed. For this reason, MySQL has implemented NoSQL interfaces directly to the InnoDB and MySQL Cluster (NDB) storage engines, which bypass the SQL layer completely. Without SQL parsing and optimization, Key-Value data can be written directly to MySQL tables up to 9x faster, while maintaining ACID guarantees. In addition, users can continue to run complex queries with SQL across the same data set, providing real-time analytics to the business or anonymizing sensitive data before loading to big data platforms such as Hadoop, while still maintaining all of the advantages of their existing relational database infrastructure. This and more is discussed in the latest Guide to MySQL and NoSQL where you can learn more about using the APIs to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database The native Memcached API is part of the MySQL 5.6 Release Candidate, and is already available in the GA release of MySQL Cluster. By using the ubiquitous Memcached API for writing and reading data, developers can preserve their investments in Memcached infrastructure by re-using existing Memcached clients, while also eliminating the need for application changes. Speed, when combined with flexibility, is essential in the world of growing data volumes and variability. Complementing NoSQL access, support for on-line DDL (Data Definition Language) operations in MySQL 5.6 and MySQL Cluster enables DevOps teams to dynamically update their database schema to accommodate rapidly changing requirements, such as the need to capture additional data generated by their applications. These changes can be made without database downtime. Using the Memcached interface, developers do not need to define a schema at all when using MySQL Cluster. Lets look a little more closely at the Memcached implementations for both InnoDB and MySQL Cluster. Memcached Implementation for InnoDB The Memcached API for InnoDB is previewed as part of the MySQL 5.6 Release Candidate. As illustrated in the following figure, Memcached for InnoDB is implemented via a Memcached daemon plug-in to the mysqld process, with the Memcached protocol mapped to the native InnoDB API. Figure 1: Memcached API Implementation for InnoDB With the Memcached daemon running in the same process space, users get very low latency access to their data while also leveraging the scalability enhancements delivered with InnoDB and a simple deployment and management model. Multiple web / application servers can remotely access the Memcached / InnoDB server to get direct access to a shared data set. With simultaneous SQL access, users can maintain all the advanced functionality offered by InnoDB including support for Foreign Keys, XA transactions and complex JOIN operations. Benchmarks demonstrate that the NoSQL Memcached API for InnoDB delivers up to 9x higher performance than the SQL interface when inserting new key/value pairs, with a single low-end commodity server supporting nearly 70,000 Transactions per Second. Figure 2: Over 9x Faster INSERT Operations The delivered performance demonstrates MySQL with the native Memcached NoSQL interface is well suited for high-speed inserts with the added assurance of transactional guarantees. You can check out the latest Memcached / InnoDB developments and benchmarks here You can learn how to configure the Memcached API for InnoDB here Memcached Implementation for MySQL Cluster Memcached API support for MySQL Cluster was introduced with General Availability (GA) of the 7.2 release, and joins an extensive range of NoSQL interfaces that are already available for MySQL Cluster Like Memcached, MySQL Cluster provides a distributed hash table with in-memory performance. MySQL Cluster extends Memcached functionality by adding support for write-intensive workloads, a full relational model with ACID compliance (including persistence), rich query support, auto-sharding and 99.999% availability, with extensive management and monitoring capabilities. All writes are committed directly to MySQL Cluster, eliminating cache invalidation and the overhead of data consistency checking to ensure complete synchronization between the database and cache. Figure 3: Memcached API Implementation with MySQL Cluster Implementation is simple: 1. The application sends reads and writes to the Memcached process (using the standard Memcached API). 2. This invokes the Memcached Driver for NDB (which is part of the same process) 3. The NDB API is called, providing for very quick access to the data held in MySQL Cluster’s data nodes. The solution has been designed to be very flexible, allowing the application architect to find a configuration that best fits their needs. It is possible to co-locate the Memcached API in either the data nodes or application nodes, or alternatively within a dedicated Memcached layer. The benefit of this flexible approach to deployment is that users can configure behavior on a per-key-prefix basis (through tables in MySQL Cluster) and the application doesn’t have to care – it just uses the Memcached API and relies on the software to store data in the right place(s) and to keep everything synchronized. Using Memcached for Schema-less Data By default, every Key / Value is written to the same table with each Key / Value pair stored in a single row – thus allowing schema-less data storage. Alternatively, the developer can define a key-prefix so that each value is linked to a pre-defined column in a specific table. Of course if the application needs to access the same data through SQL then developers can map key prefixes to existing table columns, enabling Memcached access to schema-structured data already stored in MySQL Cluster. Conclusion Download the Guide to MySQL and NoSQL to learn more about NoSQL APIs and how you can use them to scale new generations of web, cloud, mobile and social applications on the world's most widely deployed open source database See how to build a social app with MySQL Cluster and the Memcached API from our on-demand webinar or take a look at the docs Don't hesitate to use the comments section below for any questions you may have 

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• World Record Oracle Business Intelligence Benchmark on SPARC T4-4

  - by Brian

  Oracle's SPARC T4-4 server configured with four SPARC T4 3.0 GHz processors delivered the first and best performance of 25,000 concurrent users on Oracle Business Intelligence Enterprise Edition (BI EE) 11g benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 10. A SPARC T4-4 server running Oracle Business Intelligence Enterprise Edition 11g achieved 25,000 concurrent users with an average response time of 0.36 seconds with Oracle BI server cache set to ON. The benchmark data clearly shows that the underlying hardware, SPARC T4 server, and the Oracle BI EE 11g (11.1.1.6.0 64-bit) platform scales within a single system supporting 25,000 concurrent users while executing 415 transactions/sec. The benchmark demonstrated the scalability of Oracle Business Intelligence Enterprise Edition 11g 11.1.1.6.0, which was deployed in a vertical scale-out fashion on a single SPARC T4-4 server. Oracle Internet Directory configured on SPARC T4 server provided authentication for the 25,000 Oracle BI EE users with sub-second response time. A SPARC T4-4 with internal Solid State Drive (SSD) using the ZFS file system showed significant I/O performance improvement over traditional disk for the Web Catalog activity. In addition, ZFS helped get past the UFS limitation of 32767 sub-directories in a Web Catalog directory. The multi-threaded 64-bit Oracle Business Intelligence Enterprise Edition 11g and SPARC T4-4 server proved to be a successful combination by providing sub-second response times for the end user transactions, consuming only half of the available CPU resources at 25,000 concurrent users, leaving plenty of head room for increased load. The Oracle Business Intelligence on SPARC T4-4 server benchmark results demonstrate that comprehensive BI functionality built on a unified infrastructure with a unified business model yields best-in-class scalability, reliability and performance. Oracle BI EE 11g is a newer version of Business Intelligence Suite with richer and superior functionality. Results produced with Oracle BI EE 11g benchmark are not comparable to results with Oracle BI EE 10g benchmark. Oracle BI EE 11g is a more difficult benchmark to run, exercising more features of Oracle BI. Performance Landscape Results for the Oracle BI EE 11g version of the benchmark. Results are not comparable to the Oracle BI EE 10g version of the benchmark. Oracle BI EE 11g Benchmark System Number of Users Response Time (sec) 1 x SPARC T4-4 (4 x SPARC T4 3.0 GHz) 25,000 0.36 Results for the Oracle BI EE 10g version of the benchmark. Results are not comparable to the Oracle BI EE 11g version of the benchmark. Oracle BI EE 10g Benchmark System Number of Users 2 x SPARC T5440 (4 x SPARC T2+ 1.6 GHz) 50,000 1 x SPARC T5440 (4 x SPARC T2+ 1.6 GHz) 28,000 Configuration Summary Hardware Configuration: SPARC T4-4 server 4 x SPARC T4-4 processors, 3.0 GHz 128 GB memory 4 x 300 GB internal SSD Storage Configuration: "> Sun ZFS Storage 7120 16 x 146 GB disks Software Configuration: Oracle Solaris 10 8/11 Oracle Solaris Studio 12.1 Oracle Business Intelligence Enterprise Edition 11g (11.1.1.6.0) Oracle WebLogic Server 10.3.5 Oracle Internet Directory 11.1.1.6.0 Oracle Database 11g Release 2 Benchmark Description Oracle Business Intelligence Enterprise Edition (Oracle BI EE) delivers a robust set of reporting, ad-hoc query and analysis, OLAP, dashboard, and scorecard functionality with a rich end-user experience that includes visualization, collaboration, and more. The Oracle BI EE benchmark test used five different business user roles - Marketing Executive, Sales Representative, Sales Manager, Sales Vice-President, and Service Manager. These roles included a maximum of 5 different pre-built dashboards. Each dashboard page had an average of 5 reports in the form of a mix of charts, tables and pivot tables, returning anywhere from 50 rows to approximately 500 rows of aggregated data. The test scenario also included drill-down into multiple levels from a table or chart within a dashboard. The benchmark test scenario uses a typical business user sequence of dashboard navigation, report viewing, and drill down. For example, a Service Manager logs into the system and navigates to his own set of dashboards using Service Manager. The BI user selects the Service Effectiveness dashboard, which shows him four distinct reports, Service Request Trend, First Time Fix Rate, Activity Problem Areas, and Cost Per Completed Service Call spanning 2002 to 2005. The user then proceeds to view the Customer Satisfaction dashboard, which also contains a set of 4 related reports, drills down on some of the reports to see the detail data. The BI user continues to view more dashboards – Customer Satisfaction and Service Request Overview, for example. After navigating through those dashboards, the user logs out of the application. The benchmark test is executed against a full production version of the Oracle Business Intelligence 11g Applications with a fully populated underlying database schema. The business processes in the test scenario closely represent a real world customer scenario. See Also SPARC T4-4 Server oracle.com OTN Oracle Business Intelligence oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN WebLogic Suite oracle.com OTN Oracle Solaris oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 30 September 2012.

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• OSB and Coherence Integration

  - by mark.ms.smith

  Anyone who has tried to manage Coherence nodes or tried to cache results in OSB, will appreciate the new functionality now available. As of WebLogic Server 10.3.4, you can use the WebLogic Administration Server, via the Administration Console or WLST, and java-based Node Manager to manage and monitor the life cycle of stand-alone Coherence cache servers. This is a great step forward as the previous options mainly involved writing your own scripts to do this. You can find an excellent description of how this works at James Bayer’s blog. You can also find the WebLogic documentation here.As of Oracle Service Bus 11gR1 (11.1.1.3.0), OSB now supports service result caching for Business Bervices with Coherence. If you use Business Services that return somewhat static results that do not change often, you can configure those Business Services to cache results. For Business Services that use result caching, you can control the time to live for the cached result. After the cached result expires, the next Business Service call results in invoking the back-end service to get the result. This result is then stored in the cache for future requests to access. I’m thinking that this caching functionality would be perfect for some sort of cross reference data that was refreshed nightly by batch. You can find the OSB Business Service documentation here.Result Caching in a dedicated JVMThis example demonstrates these new features by configuring a OSB Business Service to cache results in a separate Coherence JVM managed by WebLogic. The reason why you may want to use a separate, dedicated JVM is that the result cache data could potentially be quite large and you may want to protect your OSB java heap.In this example, the client will call an OSB Proxy Service to get Employee data based on an Employee Id. Using a Business Service, OSB calls an external system. The results are automatically cached and when called again, the respective results are retrieved from the cache rather than the external system.Step 1 – Set up your Coherence Server Via the OSB Administration Server Console, create your Coherence Server to be used as the results cache.Here are the configured Coherence Server arguments from the Server Start tab. Note that I’m using the default Cache Config and Override files in the domain.-Xms256m -Xmx512m -XX:PermSize=128m -XX:MaxPermSize=256m -Dtangosol.coherence.override=/app/middleware/jdev_11.1.1.4/user_projects/domains/osb_domain2/config/osb/coherence/osb-coherence-override.xml -Dtangosol.coherence.cluster=OSB-cluster -Dtangosol.coherence.cacheconfig=/app/middleware/jdev_11.1.1.4/user_projects/domains/osb_domain2/config/osb/coherence/osb-coherence-cache-config.xml -Dtangosol.coherence.distributed.localstorage=true -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dcom.sun.management.jmxremote Just incase you need it, here is my Coherence Server classpath:/app/middleware/jdev_11.1.1.4/oracle_common/modules/oracle.coherence_3.6/coherence.jar: /app/middleware/jdev_11.1.1.4/modules/features/weblogic.server.modules.coherence.server_10.3.4.0.jar: /app/middleware/jdev_11.1.1.4/oracle_osb/lib/osb-coherence-client.jarBy default, OSB will try and create a local result cache instance. You need to disable this by adding the following JVM parameters to each of the OSB Managed Servers:-Dtangosol.coherence.distributed.localstorage=false -DOSB.coherence.cluster=OSB-clusterIf you need more information on configuring a remote result cache, have a look at the configuration documentration under the heading Using an Out-of-Process Coherence Cache Server.Step 2 – Configure your Business Service Under the respective Business Service Message Handling Configuration (Advanced Properties), you need to enable “Result Caching”. Additionally, you need to determine what the cache data will be keyed on. In the example below, I’m keying it on the unique Employee Id.The Results As this test was on my laptop, the actual timings are just an indication that there is a benefit to caching results. Using my test harness, I sent 10,000 requests to OSB, all with the same Employee Id. In this case, I had result caching disabled.You can see that this caused the back end Business Service (BS_GetEmployeeData) to be called for each request. Then after enabling result caching, I sent the same number of identical requests.You can now see the Business Service was only invoked once on the first request. All subsequent requests used the Results Cache.

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• Oracle SALT 11gR1

  - by Maurice Gamanho

  With the 11gR1 release, SALT now supports Web services transactions (WS-TX). In a nutshell, the SALT 11gR1 Web services gateway (GWWS) now supports bi-directional transactional interoperability. What this means is that Tuxedo application services can now be invoked in global transaction context using Web services. This feature is natural to a product like Tuxedo given its history as transaction processing monitor and its significant contribution to the X/Open (now the Open Group) XA specification. We implemented Web Services Coordination (WS-COOR) and Web Services Atomic Transaction (WS-AT). We also tested and certified with WebLogic Server 11gR1 and Microsoft WCF 3.5 (.Net Framework). For more information, please visit the Tuxedo OTN home page, where you can download a document and samples that will help you get started with WS-TX in Tuxedo. You can check the product documentation here.

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• Real World Java EE Patterns by Adam Bien

  - by JuergenKress

  Rethinking Best Practices, A book about rethinking patterns, best practices, idioms and Java EE Real World Java EE Patterns - Rethinking Best Practices discusses patterns and best practices in a structured way, with code from real world projects. This book covers: an introduction into the core principles and APIs of Java EE 6, principles of transactions, isolation levels, CAP and BASE, remoting, pragmatic modularization and structure of Java EE applications, discussion of superfluous patterns and outdated best practices, patterns for domain driven and service oriented components, custom scopes, asynchronous processing and parallelization, real time HTTP events, schedulers, REST optimizations, plugins and monitoring tools, and fully functional JCA 1.6 implementation. Real World Java EE Night Hacks - Dissecting the Business Tier will not only help experienced developers and architects to write concise code, but especially help you to shrink the codebase to unbelievably small sizes :-). Order here. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. BlogTwitterLinkedInMixForumWiki Technorati Tags: Adam Bien,Real World Java,Java,Java EE,WebLogic Community,Oracle,OPN,Jürgen Kress

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• SQL SERVER – Simple Example to Configure Resource Governor – Introduction to Resource Governor

  - by pinaldave

  Let us jump right away with question and answer mode. What is resource governor? Resource Governor is a feature which can manage SQL Server Workload and System Resource Consumption. We can limit the amount of CPU and memory consumption by limiting /governing /throttling on the SQL Server. Why is resource governor required? If there are different workloads running on SQL Server and each of the workload needs different resources or when workloads are competing for resources with each other and affecting the performance of the whole server resource governor is a very important task. What will be the real world example of need of resource governor? Here are two simple scenarios where the resource governor can be very useful. Scenario 1: A server which is running OLTP workload and various resource intensive reports on the same server. The ideal situation is where there are two servers which are data synced with each other and one server runs OLTP transactions and the second server runs all the resource intensive reports. However, not everybody has the luxury to set up this kind of environment. In case of the situation where reports and OLTP transactions are running on the same server, limiting the resources to the reporting workload it can be ensured that OTLP’s critical transaction is not throttled. Scenario 2: There are two DBAs in one organization. One DBA A runs critical queries for business and another DBA B is doing maintenance of the database. At any point in time the DBA A’s work should not be affected but at the same time DBA B should be allowed to work as well. The ideal situation is that when DBA B starts working he get some resources but he can’t get more than defined resources. Does SQL Server have any default resource governor component? Yes, SQL Server have two by default created resource governor component. 1) Internal –This is used by database engine exclusives and user have no control. 2) Default – This is used by all the workloads which are not assigned to any other group. What are the major components of the resource governor? Resource Pools Workload Groups Classification In simple words here is what the process of resource governor is. Create resource pool Create a workload group Create classification function based on the criteria specified Enable Resource Governor with classification function Let me further explain you the same with graphical image. Is it possible to configure resource governor with T-SQL? Yes, here is the code for it with explanation in between. Step 0: Here we are assuming that there are separate login accounts for Reporting server and OLTP server. /*----------------------------------------------- Step 0: (Optional and for Demo Purpose) Create Two User Logins 1) ReportUser, 2) PrimaryUser Use ReportUser login for Reports workload Use PrimaryUser login for OLTP workload -----------------------------------------------*/ Step 1: Creating Resource Pool We are creating two resource pools. 1) Report Server and 2) Primary OLTP Server. We are giving only a few resources to the Report Server Pool as described in the scenario 1 the other server is mission critical and not the report server. ----------------------------------------------- -- Step 1: Create Resource Pool ----------------------------------------------- -- Creating Resource Pool for Report Server CREATE RESOURCE POOL ReportServerPool WITH ( MIN_CPU_PERCENT=0, MAX_CPU_PERCENT=30, MIN_MEMORY_PERCENT=0, MAX_MEMORY_PERCENT=30) GO -- Creating Resource Pool for OLTP Primary Server CREATE RESOURCE POOL PrimaryServerPool WITH ( MIN_CPU_PERCENT=50, MAX_CPU_PERCENT=100, MIN_MEMORY_PERCENT=50, MAX_MEMORY_PERCENT=100) GO Step 2: Creating Workload Group We are creating two workloads each mapping to each of the resource pool which we have just created. ----------------------------------------------- -- Step 2: Create Workload Group ----------------------------------------------- -- Creating Workload Group for Report Server CREATE WORKLOAD GROUP ReportServerGroup USING ReportServerPool ; GO -- Creating Workload Group for OLTP Primary Server CREATE WORKLOAD GROUP PrimaryServerGroup USING PrimaryServerPool ; GO Step 3: Creating user defiled function which routes the workload to the appropriate workload group. In this example we are checking SUSER_NAME() and making the decision of Workgroup selection. We can use other functions such as HOST_NAME(), APP_NAME(), IS_MEMBER() etc. ----------------------------------------------- -- Step 3: Create UDF to Route Workload Group ----------------------------------------------- CREATE FUNCTION dbo.UDFClassifier() RETURNS SYSNAME WITH SCHEMABINDING AS BEGIN DECLARE @WorkloadGroup AS SYSNAME IF(SUSER_NAME() = 'ReportUser') SET @WorkloadGroup = 'ReportServerGroup' ELSE IF (SUSER_NAME() = 'PrimaryServerPool') SET @WorkloadGroup = 'PrimaryServerGroup' ELSE SET @WorkloadGroup = 'default' RETURN @WorkloadGroup END GO Step 4: In this final step we enable the resource governor with the classifier function created in earlier step 3. ----------------------------------------------- -- Step 4: Enable Resource Governer -- with UDFClassifier ----------------------------------------------- ALTER RESOURCE GOVERNOR WITH (CLASSIFIER_FUNCTION=dbo.UDFClassifier); GO ALTER RESOURCE GOVERNOR RECONFIGURE GO Step 5: If you are following this demo and want to clean up your example, you should run following script. Running them will disable your resource governor as well delete all the objects created so far. ----------------------------------------------- -- Step 5: Clean Up -- Run only if you want to clean up everything ----------------------------------------------- ALTER RESOURCE GOVERNOR WITH (CLASSIFIER_FUNCTION = NULL) GO ALTER RESOURCE GOVERNOR DISABLE GO DROP FUNCTION dbo.UDFClassifier GO DROP WORKLOAD GROUP ReportServerGroup GO DROP WORKLOAD GROUP PrimaryServerGroup GO DROP RESOURCE POOL ReportServerPool GO DROP RESOURCE POOL PrimaryServerPool GO ALTER RESOURCE GOVERNOR RECONFIGURE GO I hope this introductory example give enough light on the subject of Resource Governor. In future posts we will take this same example and learn a few more details. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Resource Governor

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• Verizon Wireless Supports its Mission-Critical Employee Portal with MySQL

  - by Bertrand Matthelié

  Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Verizon Wireless, the #1 mobile carrier in the United States, operates the nation’s largest 3G and 4G LTE network, with the most subscribers (109 millions) and the highest revenue ($70.2 Billion in 2011). Verizon Wireless built the first wide-area wireless broadband network and delivered the first wireless consumer 3G multimedia service in the US, and offers global voice and data services in more than 200 destinations around the world. To support 4.2 million daily wireless transactions and 493,000 calls and emails transactions produced by 94.2 million retail customers, Verizon Wireless employs over 78,000 employees with area headquarters across the United States. The Business Challenge Seeing the stupendous rise in social media, video streaming, live broadcasting…etc which redefined the scope of technology, Verizon Wireless, as a technology savvy company, wanted to provide a platform to its employees where they could network socially, view and host microsites, stream live videos, blog and provide the latest news. The IT team at Verizon Wireless had abundant experience with various technology platforms to support the huge number of applications in the company. However, open-source products weren’t yet widely used in the organization and the team had the ambition to adopt such technologies and see if the architecture could meet Verizon Wireless’ rigid requirements. After evaluating a few solutions, the IT team decided to use the LAMP stack for Vzweb, its mission-critical, 24x7 employee portal, with Drupal as the front end and MySQL on Linux as the backend, and for a few other internal websites also on MySQL. The MySQL Solution Verizon Wireless started to support its employee portal, Vzweb, its online streaming website, Vztube, and internal wiki pages, Vzwiki, with MySQL 5.1 in 2010. Vzweb is the main internal communication channel for Verizon Wireless, while Vztube hosts important company-wide webcasts regularly for executive-level announcements, so both channels have to be live and accessible all the time for its 78,000 employees across the United States. However during the initial deployment of the MySQL based Intranet, the application experienced performance issues. High connection spikes occurred causing slow user response time, and the IT team applied workarounds to continue the service. A number of key performance indexes (KPI) for the infrastructure were identified and the operational framework redesigned to support a more robust website and conform to the 99.985% uptime SLA (Service-Level Agreement). The MySQL DBA team made a series of upgrades in MySQL: Step 1: Moved from MyISAM to InnoDB storage engine in 2010 Step 2: Upgraded to the latest MySQL 5.1.54 release in 2010 Step 3: Upgraded from MySQL 5.1 to the latest GA release MySQL 5.5 in 2011, and leveraging MySQL Thread Pool as part of MySQL Enterprise Edition to scale better After making those changes, the team saw a much better response time during high concurrency use cases, and achieved an amazing performance improvement of 1400%! In January 2011, Verizon CEO, Ivan Seidenberg, announced the iPhone launch during the opening keynote at Consumer Electronic Show (CES) in Las Vegas, and that presentation was streamed live to its 78,000 employees. The event was broadcasted flawlessly with MySQL as the database. Later in 2011, Hurricane Irene attacked the East Coast of United States and caused major life and financial damages. During the hurricane, the team directed more traffic to its west coast data center to avoid potential infrastructure damage in the East Coast. Such transition was executed smoothly and even though the geographical distance became longer for the East Coast users, there was no impact in the performance of Vzweb and Vztube, and the SLA goal was achieved. “MySQL is the key component of Verizon Wireless’ mission-critical employee portal application,” said Shivinder Singh, senior DBA at Verizon Wireless. “We achieved 1400% performance improvement by moving from the MyISAM storage engine to InnoDB, upgrading to the latest GA release MySQL 5.5, and using the MySQL Thread Pool to support high concurrent user connections. MySQL has become part of our IT infrastructure, on which potentially more future applications will be built.” To learn more about MySQL Enterprise Edition, Get our Product Guide.

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• Oracle Big Data Software Downloads

  - by Mike.Hallett(at)Oracle-BI&EPM

  Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data Connectors Downloads here, includes: Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0 Oracle Loader for Hadoop Release 2.1.0 Oracle Data Integrator Companion 11g Oracle R Connector for Hadoop v 2.1 Oracle Big Data Documentation The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB) Integrated Software and Big Data Connectors User's Guide HTML PDF Oracle Data Integrator (ODI) Application Adapter for Hadoop Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs. Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities: Loading data into Hadoop from the local file system and HDFS Performing validation and transformation of data within Hadoop Loading processed data from Hadoop to an Oracle database for further processing and generating reports Oracle Database Loader for Hadoop Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance. Oracle R Connector for Hadoop Oracle R Connector for Hadoop is a collection of R packages that provide: Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as: Access and transform HDFS data using a Hive-enabled transparency layer Use the R language for writing mappers and reducers Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations Oracle SQL Connector for Hadoop Distributed File System Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats: Data Pump files in HDFS Delimited text files in HDFS Hive tables For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS. Related Documentation Cloudera's Distribution Including Apache Hadoop Library HTML Oracle R Enterprise HTML Oracle NoSQL Database HTML Recent Blog Posts Big Data Appliance vs. DIY Price Comparison Big Data: Architecture Overview Big Data: Achieve the Impossible in Real-Time Big Data: Vertical Behavioral Analytics Big Data: In-Memory MapReduce Flume and Hive for Log Analytics Building Workflows in Oozie

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• Hiring a Junior Developer, What should I ask?

  - by Jeremy

  We are currently hiring a junior developer to help me out, as I have more projects than I can currently manage. I have never hired anyone who wasn't a friend or at least an acquaintance. I have a phone interview with the only applicant that actually stood out to me (on paper), but I have never done this before. Our projects are all high scalability, data intensive web applications that process millions of transactions an hour, across multiple servers and clients. To be language/stack specific, we use ASP.Net MVC2, WebForms and C# 4, MSSQL 2008 R2, all running atop Windows Server 2008 R2 What should I ask him? How should I structure the phone call?

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• IFS Achieves Oracle Exadata Optimized and Oracle Exalogic Optimized Status

  - by Javier Puerta

  IFS, the global enterprise applications company, announces that it has earned Oracle Exadata Optimized and Oracle Exalogic Optimized status through Oracle PartnerNetwork (OPN), demonstrating that IFS Applications Release 8 has been tested and tuned on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud to deliver speed, scalability and reliability to customers. By combining IFS Applications with the Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud, IFS customers will be able to leverage benefits such as faster time to implementation, increased performance, as well as reduced energy and hardware footprint. IFS is a Platinum level member in Oracle PartnerNetwork. Initial test results showed that IFS Applications Release 8 material resource planning (MRP) batch jobs achieved a 2.5x performance improvement and a 2.2x increase in user transactions on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud. Additionally, IFS Applications 8 achieved a 37x higher compression ratio, resulting in significantly shorter time for daily backup routines and lowering storage costs. Read full press release here

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• Kuppinger Cole Paper on Entitlements Server

  - by Naresh Persaud

  Kuppinger Cole recently released a paper discussing external authorization describing how organizations can "future proof" their enterprise security by deploying Oracle Entitlements Server.  By taking a declarative security approach, security policy can be flexible and distributed across multiple applications consistently. You can get a copy of the report here. In fact Oracle Entitlements Server is being used in many places to secure data and sensitive business transactions. The paper covers the major  use cases for Entitlements Server as well as Kuppinger Cole's assessment of the market. Here are some additional resources that reinforce the cases discussed in the paper. Today applications for cloud and mobile applications can utilize RESTful interfaces. Click on this link to learn how. OES can also be used to secure data in Oracle Databases.   To learn more check out the new Oracle U  OES 11g course.

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• What are the leading professional journals in software development?

  - by Austin Hyde

  In one of my classes, we were asked to research the top professional journals in our field. According to what I can dig up, the ACM and IEEE journals are the "best", as they come up at the top of my searches and this question. However, there are a dozen or so individually topic-ed journals for each, with no very clear measure of which one is most useful, popular, etc. For example, "IEEE Software" vs. "IEEE Transactions on Software Engineering". So, what do you consider to be the "leading" professional journals (specifically), and why? It doesn't have to be only ACM or IEEE, either. If you know of another, please add it.

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• Save Points

  - by raghu.yadav

  Explicit save point : Requires an end user action before a bounded or unbounded task flow creates a save point. For example, an end user clicks a button that invokes a method call activity that, in turn, creates a save point Implicit save point : can only originate from a bounded task flow if 1) A session times out due to end user inactivity 2) An end user logs out without saving the data 3) An end user closes the only browser window, thus logging out of the application 4) An end user navigates away from the current application using control flow rules (for example, uses a goLink component to go to an external URL) and having unsaved data. good usecases and examples given by frank/biemond and on implicit save points http://www.oracle.com/technology/products/jdev/tips/fnimphius/cancelForm/cancelForm_wsp.html?_template=/ocom/print http://biemond.blogspot.com/2008/04/automatically-save-transactions-with.html

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• MySQL Cluster 7.3: On-Demand Webinar and Q&A Available

  - by Mat Keep

  The on-demand webinar for the MySQL Cluster 7.3 Development Release is now available. You can learn more about the design, implementation and getting started with all of the new MySQL Cluster 7.3 features from the comfort and convenience of your own device, including: - Foreign Key constraints in MySQL Cluster - Node.js NoSQL API  - Auto-installation of higher performance distributed, clusters We received some great questions over the course of the webinar, and I wanted to share those for the benefit of a broader audience. Q. What Foreign Key actions are supported: A. The core referential actions defined in the SQL:2003 standard are implemented: CASCADE RESTRICT NO ACTION SET NULL Q. Where are Foreign Keys implemented, ie data nodes or SQL nodes? A. They are implemented in the data nodes, therefore can be enforced for both the SQL and NoSQL APIs Q. Are they compatible with the InnoDB Foreign Key implementation? A. Yes, with the following exceptions: - InnoDB doesn’t support “No Action” constraints, MySQL Cluster does - You can choose to suspend FK constraint enforcement with InnoDB using the FOREIGN_KEY_CHECKS parameter; at the moment, MySQL Cluster ignores that parameter. - You cannot set up FKs between 2 tables where one is stored using MySQL Cluster and the other InnoDB. - You cannot change primary keys through the NDB API which means that the MySQL Server actually has to simulate such operations by deleting and re-adding the row. If the PK in the parent table has a FK constraint on it then this causes non-ideal behaviour. With Restrict or No Action constraints, the change will result in an error. With Cascaded constraints, you’d want the rows in the child table to be updated with the new FK value but, the implicit delete of the row from the parent table would remove the associated rows from the child table and the subsequent implicit insert into the parent wouldn’t reinstate the child rows. For this reason, an attempt to add an ON UPDATE CASCADE where the parent column is a primary key will be rejected. Q. Does adding or dropping Foreign Keys cause downtime due to a schema change? A. Nope, this is an online operation. MySQL Cluster supports a number of on-line schema changes, ie adding and dropping indexes, adding columns, etc. Q. Where can I see an example of node.js with MySQL Cluster? A. Check out the tutorial and download the code from GitHub Q. Can I use the auto-installer to support remote deployments? How about setting up MySQL Cluster 7.2? A. Yes to both! Q. Can I get a demo Check out the tutorial. You can download the code from http://labs.mysql.com/ Go to Select Build drop-down box Q. What is be minimum internet speen required for Geo distributed cluster with synchronous replication? A. if you're splitting you cluster between sites then we recommend a network latency of 20ms or less. Alternatively, use MySQL asynchronous replication where the latency of your WAN doesn't impact the latency of your reads/writes. Q. Where you can one learn more about the PayPal project with MySQL Cluster? A. Take a look at the following - you'll find press coverage, a video and slides from their keynote presentation  So, if you want to learn more, listen to the new MySQL Cluster 7.3 on-demand webinar  MySQL Cluster 7.3 is still in the development phase, so it would be great to get your feedback on these new features, and things you want to see!

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