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• Tungsten for MySQL: Online Schema Upgrade

  - by Jason

  In a recent presentation the Continuent folks claim that they support "daylight maintenance" or online schema upgrades. See Clustering for the Masses: A Gentle Introduction to Tungsten for MySQL, especially pages 22-28. Is anyone using Tungsten for MySQL in this way? It sounds too good to be true. I also wonder if the Community Edition supports all of the features discussed in the presentation. They say elsewhere that it is not crippleware but in their own productization table "Zero downtime upgrade" appears to only be available in the more advanced versions. So I'm skeptical. Community support seems rather non-existent so a commercial license with support is probably warranted (they do not disclose pricing). I have not contacted them directly yet as I prefer community vetting but this solution, despite its value proposition and power to make an admin's life easier just doesn't seem to get the kind of attention it might warrant. If not Tungsten for MySQL, how do you handle online schema upgrades? MySQL Cluster (NDBENGINE) is not well-suited to web applications. Cheers

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• Global Email Forwarding with EXIM?

  - by Dexirian

  Been trying to find a solution to this for a while without success so here i go : I was given the task to build a High-Availability Load-Balanced Network Cluster for our 2 linux servers. I did some workaround and managed to get a DNS + SQL + Web Folders + Mails synchronisation going between both. Now i would like my server 2 to only do mailing and server 1 to only do web hosting. I transfered all the accounts for 1 to 2 using the WHM built-in account transfert feature. I created 2 different rsync jobs that sync, update, and delete the files for mail and websites. Now i was able to successfully transfer 1 mail accounts from 1 to 2, and the server 2 works flawlessly. All i had to do was change the MX entries to point to the new server and bingo. Now my problem is, some clients have their mail softwares configured so that they point to oldserver.domain.com. I cant make the (A) entry of oldserver.domain.com point to the new server for obvious reasons. I thought of using .foward files and add them to the home directories of the concerned users but that would be very difficult. So my question is : Is there a way to configure exim so that it will only foward mails to the new server? I need to change all the users so they use their mail on server 2 without them doing anything. Thanks! EDIT : TO CLARIFY MY PROBLEM Some clients have their mail point to oldserver.xyz instead of mail.olderserver.xyz I want to know if i can do something to prevent modifying the clients configuration I would also like to know is there is a way to find out what clients aren't properly configured

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• Building a small server farm

  - by RayQuang

  Hi, I am planning to set up a Tech startup company that will provide web application solutions. Eventually we hope to diversify into different areas such as possibly social media or other services. For now we plan on running a high demand (from 1000 to 10,000 users in the first year) website running the application. This includes a MySQL database backend, email, and development servers. My question is then, what type of server arrangement will work best, that is ti say should i have a small cluster of ultra high power machines (E.G. Top of the range Xeons, with 12GB RAM) or will it be better to have more less powerful servers load balanced? Should I go for 1 - 2 u servers rack mounted ot would it be beter for it just to be tower servers for maintainability? Finally I would also like to know what kind of Internet and router i would need, I currently have 10mbit down and barely 1 mbit up, but soon our area will have a fiber optic connection with international speeds of up to 25 mbit / sec. Thanks in advance, RayQuang UPDATE: sorry I forgot to mention it, the platform that I will be using is PHP with the APC code cache, Probably running Debian.

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• Nginx as reverse proxy: how to properly configure gateway timeout?

  - by user1281376

  We have configured Nginx as a reverse proxy to an Apache server farm, but I'm running into trouble with the gateway timeouts. Our Goal in human readable form is: "Deliver a request within one second, but if it really takes longer, deliver anyway", which for me translates into "Try the first Apache server in upstream for max 500ms. If we get a timeout / an error, try the next one and so on until we finally succeed." Now our relevant configuration is this: location @proxy { proxy_pass http://apache$request_uri; proxy_connect_timeout 1s; proxy_read_timeout 2s; } [...] upstream apache { server 127.0.0.1:8001 max_fails=1 fail_timeout=10s; server 10.1.x.x:8001 max_fails=1 fail_timeout=10s backup; server 10.1.x.x:8001 max_fails=1 fail_timeout=10s backup; server 10.1.x.x:8001 max_fails=1 fail_timeout=10s backup; } The problem here is that nginx seems to misunderstand this as "Try to get a response from the whole upstream cluster within one second and deliver a 50X error if we don't - without any limit on how long to try any upstream server", which is obviously not what we had in mind. Is there any way to get nginx to do what we want?

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• Deploying Memcached as 32bit or 64bit?

  - by rlotun

  I'm curious about how people deploy memcached on 64 bit machines. Do you compile a 64bit (standard) memcached binary and run that, or do people compile it in 32bit mode and run N instances (where N = machine_RAM / 4GB)? Consider a recommended deployment of Redis (from the Redis FAQ): Redis uses a lot more memory when compiled for 64 bit target, especially if the dataset is composed of many small keys and values. Such a database will, for instance, consume 50 MB of RAM when compiled for the 32 bit target, and 80 MB for 64 bit! That's a big difference. You can run 32 bit Redis binaries in a 64 bit Linux and Mac OS X system without problems. For OS X just use make 32bit. For Linux instead, make sure you have libc6-dev-i386 installed, then use make 32bit if you are using the latest Git version. Instead for Redis <= 1.2.2 you have to edit the Makefile and replace "-arch i386" with "-m32". If your application is already able to perform application-level sharding, it is very advisable to run N instances of Redis 32bit against a big 64 bit Redis box (with more than 4GB of RAM) instead than a single 64 bit instance, as this is much more memory efficient. Would not the same recommendation also apply to a memcached cluster?

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• NetBeans Development 7 - Windows 7 64-bit … JNI native calls ... a how to guide

  - by CirrusFlyer

  I provide this for you to hopefully save you some time and pain. As part of my expereince in getting to know NB Development v7 on my Windows 64-bit workstation I found another frustrating adventure in trying to get the JNI (Java Native Interface) abilities up and working in my project. As such, I am including a brief summary of steps required (as all the documentation I found was completely incorrect for these versions of Windows and NetBeans on how to do JNI). It took a couple of days of experimentation and reviewing every webpage I could find that included these technologies as keyword searches. Yuk!! Not fun. To begin, as NetBeans Development is "all about modules" if you are reading this you probably have a need for one, or more, of your modules to perform JNI calls. Most of what is available on this site or the Internet in general (not to mention the help file in NB7) is either completely wrong for these versions, or so sparse as to be essentially unuseful to anyone other than a JNI expert. Here is what you are looking for ... the "cut to the chase" - "how to guide" to get a JNI call up and working on your NB7 / Windows 64-bit box. 1) From within your NetBeans Module (not the host appliation) declair your native method(s) and make sure you can compile the Java source without errors. Example: package org.mycompanyname.nativelogic; public class NativeInterfaceTest { static { try { if (System.getProperty( "os.arch" ).toLowerCase().equals( "amd64" ) ) System.loadLibrary( <64-bit_folder_name_on_file_system>/<file_name.dll> ); else System.loadLibrary( <32-bit_folder_name_on_file_system>/<file_name.dll> ); } catch (SecurityException se) {} catch (UnsatisfieldLinkError ule) {} catch (NullPointerException npe) {} } public NativeInterfaceTest() {} native String echoString(String s); } Take notice to the fact that we only load the Assembly once (as it's in a static block), because othersise you will throw exceptions if attempting to load it again. Also take note of our single (in this example) native method titled "echoString". This is the method that our C / C++ application is going to implement, then via the majic of JNI we'll call from our Java code. 2) If using a 64-bit version of Windows (which we are here) we need to open a 64-bit Visual Studio Command Prompt (versus the standard 32-bit version), and execute the "vcvarsall" BAT file, along with an "amd64" command line argument, to set the environment up for 64-bit tools. Example: <path_to_Microsoft_Visual_Studio_10.0>/VC/vcvarsall.bat amd64 Take note that you can use any version of the C / C++ compiler from Microsoft you wish. I happen to have Visual Studio 2005, 2008, and 2010 installed on my box so I chose to use "v10.0" but any that support 64-bit development will work fine. The other important aspect here is the "amd64" param. 3) In the Command Prompt change drives \ directories on your computer so that you are at the root of the fully qualified Class location on the file system that contains your native method declairation. Example: The fully qualified class name for my natively declair method is "org.mycompanyname.nativelogic.NativeInterfaceTest". As we successfully compiled our Java in Step 1 above, we should find it contained in our NetBeans Module something similar to the following: "/build/classes/org/mycompanyname/nativelogic/NativeInterfaceTest.class" We need to make sure our Command Prompt sets, as the current directly, "/build/classes" because of our next step. 4) In this step we'll create our C / C++ Header file that contains the JNI required statments. Type the following in the Command Prompt: javah -jni org.mycompanyname.nativelogic.NativeInterfaceTest and hit enter. If you receive any kind of error that states this is an unrecognized command that simply means your Windows computer does not know the PATH to that command (it's in your /bin folder). Either run the command from there, or include the fully qualified path name when invoking this application, or set your computer's PATH environmental variable to include that path in its search. This should produce a file called "org_mycompanyname_nativelogic_NativeInterfaceTest.h" ... a C Header file. I'd make a copy of this in case you need a backup later. 5) Edit the NativeInterfaceTest.h header file and include an implementation for the echoString() method. Example: JNIEXPORT jstring JNICALL Java_org_mycompanyname_nativelogic_NativeInterfaceTest_echoString (JNIEnv *env, jobject jobj, jstring js) { return((*env)->NewStringUTF(env, "My JNI is up and working after lots of research")); } Notice how you can't simply return a normal Java String (because you're in C at the moment). You have to tell the passed in JVM variable to create a Java String for you that will be returned back. Check out the following Oracle web page for other data types and how to create them for JNI purposes. 6) Close and Save your changes to the Header file. Now that you've added an implementation to the Header change the file extention from ".h" to ".c" as it's now a C source code file that properly implements the JNI required interface. Example: NativeInterfaceTest.c 7) We need to compile the newly created source code file and Link it too. From within the Command Prompt type the following: cl /I"path_to_my_jdks_include_folder" /I"path_to_my_jdks_include_win32_folder" /D:AMD64=1 /LD NativeInterfaceTest.c /FeNativeInterfaceTest.dll /link /machine:x64 Example: cl /I"D:/Program Files/Java/jdk1.6.0_21/include" /I"D:/Program Files/java/jdk1.6.0_21/include/win32" /D:AMD64=1 /LD NativeInterfaceTest.c /FeNativeInterfaceTest.dll /link /machine:x64 Notice the quotes around the paths to the 'include" and 'include/win32' folders is required because I have spaces in my folder names ... 'Program Files'. You can include them if you have no spaces without problems, but they are mandatory if you have spaces when using a command prompt. This will generate serveral files, but it's the DLL we're interested in. This is what the System.loadLirbary() java method is looking for. 8) Congratuations! You're at the last step. Simply take the DLL Assembly and paste it at the following location: <path_of_NetBeansProjects_folder>/<project_name>/<module_name>/build/cluster/modules/lib/x64 Note that you'll probably have to create the "lib" and "x64" folders. Example: C:\Users\<user_name>\Documents\NetBeansProjects\<application_name>\<module_name>\build\cluster\modules\lib\x64\NativeInterfaceTest.dll Java code ... notice how we don't inlude the ".dll" file extension in the loadLibrary() call? System.loadLibrary( "/x64/NativeInterfaceTest" ); Now, in your Java code you can create a NativeInterfaceTest object and call the echoString() method and it will return the String value you typed in the NativeInterfaceTest.c source code file. Hopefully this will save you the brain damage I endured trying to figure all this out on my own. Good luck and happy coding!

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• Why should you choose Oracle WebLogic 12c instead of JBoss EAP 6?

  - by Ricardo Ferreira

  In this post, I will cover some technical differences between Oracle WebLogic 12c and JBoss EAP 6, which was released a couple days ago from Red Hat. This article claims to help you in the evaluation of key points that you should consider when choosing for an Java EE application server. In the following sections, I will present to you some important aspects that most customers ask us when they are seriously evaluating for an middleware infrastructure, specially if you are considering JBoss for some reason. I would suggest that you keep the following question in mind while you are reading the points: "Why should I choose JBoss instead of WebLogic?" 1) Multi Datacenter Deployment and Clustering - D/R ("Disaster & Recovery") architecture support is embedded on the WebLogic Server 12c product. JBoss EAP 6 on the other hand has no direct D/R support included, Red Hat relies on third-part tools with higher prices. When you consider a middleware solution to host your business critical application, you should worry with every architectural aspect that are related with the solution. Fail-over support is one little aspect of a truly reliable solution. If you do not worry about D/R, your solution will not be reliable. Having said that, with Red Hat and JBoss EAP 6, you have this extra cost that will increase considerably the total cost of ownership of the solution. As we commonly hear from analysts, open-source are not so cheaper when you start seeing the big picture. - WebLogic Server 12c supports advanced LAN clustering, detection of death servers and have a common alert framework. JBoss EAP 6 on the other hand has limited LAN clustering support with no server death detection. They do not generate any alerts when servers goes down (only if you buy JBoss ON which is a separated technology, but until now does not support JBoss EAP 6) and manual intervention are required when servers goes down. In most cases, admin people must rely on "kill -9", "tail -f someFile.log" and "ps ax | grep java" commands to manage failures and clustering anomalies. - WebLogic Server 12c supports the concept of Node Manager, which is a separated process that runs on the physical | virtual servers that allows extend the administration of the cluster to WebLogic managed servers that are often distributed across multiple machines and geographic locations. JBoss EAP 6 on the other hand has no equivalent technology. Whole server instances must be managed individually. - WebLogic Server 12c Node Manager supports Coherence to boost performance when managing servers. JBoss EAP 6 on the other hand has no similar technology. There is no way to coordinate JBoss and infiniband instances provided by JBoss using high throughput and low latency protocols like InfiniBand. The Node Manager feature also allows another very important feature that JBoss EAP lacks: secure the administration. When using WebLogic Node Manager, all the administration tasks are sent to the managed servers in a secure tunel protected by a certificate, which means that the transport layer that separates the WebLogic administration console from the managed servers are secured by SSL. - WebLogic Server 12c are now integrated with OTD ("Oracle Traffic Director") which is a web server technology derived from the former Sun iPlanet Web Server. This software complements the web server support offered by OHS ("Oracle HTTP Server"). Using OTD, WebLogic instances are load-balanced by a high powerful software that knows how to handle SDP ("Socket Direct Protocol") over InfiniBand, which boost performance when used with engineered systems technologies like Oracle Exalogic Elastic Cloud. JBoss EAP 6 on the other hand only offers support to Apache Web Server with custom modules created to deal with JBoss clusters, but only across standard TCP/IP networks.  2) Application and Runtime Diagnostics - WebLogic Server 12c have diagnostics capabilities embedded on the server called WLDF ("WebLogic Diagnostic Framework") so there is no need to rely on third-part tools. JBoss EAP 6 on the other hand has no diagnostics capabilities. Their only diagnostics tool is the log generated by the application server. Admin people are encouraged to analyse thousands of log lines to find out what is going on. - WebLogic Server 12c complement WLDF with JRockit MC ("Mission Control"), which provides to administrators and developers a complete insight about the JVM performance, behavior and possible bottlenecks. WebLogic Server 12c also have an classloader analysis tool embedded, and even a log analyzer tool that enables administrators and developers to view logs of multiple servers at the same time. JBoss EAP 6 on the other hand relies on third-part tools to do something similar. Again, only log searching are offered to find out whats going on. - WebLogic Server 12c offers end-to-end traceability and monitoring available through Oracle EM ("Enterprise Manager"), including monitoring of business transactions that flows through web servers, ESBs, application servers and database servers, all of this with high deep JVM analysis and diagnostics. JBoss EAP 6 on the other hand, even using JBoss ON ("Operations Network"), which is a separated technology, does not support those features. Red Hat relies on third-part tools to provide direct Oracle database traceability across JVMs. One of those tools are Oracle EM for non-Oracle middleware that manage JBoss, Tomcat, Websphere and IIS transparently. - WebLogic Server 12c with their JRockit support offers a tool called JRockit Flight Recorder, which can give developers a complete visibility of a certain period of application production monitoring with zero extra overhead. This automatic recording allows you to deep analyse threads latency, memory leaks, thread contention, resource utilization, stack overflow damages and GC ("Garbage Collection") cycles, to observe in real time stop-the-world phenomenons, generational, reference count and parallel collects and mutator threads analysis. JBoss EAP 6 don't even dream to support something similar, even because they don't have their own JVM. 3) Application Server Administration - WebLogic Server 12c offers a complete administration console complemented with scripting and macro-like recording capabilities. A single WebLogic console can managed up to hundreds of WebLogic servers belonging to the same domain. JBoss EAP 6 on the other hand has a limited console and provides a XML centric administration. JBoss, after ten years, started the development of a rudimentary centralized administration that still leave a lot of administration tasks aside, so admin people and developers must touch scripts and XML configuration files for most advanced and even simple administration tasks. This lead applications to error prone and risky deployments. Even using JBoss ON, JBoss EAP are not able to offer decent administration features for admin people which must be high skilled in JBoss internal architecture and its managing capabilities. - Oracle EM is available to manage multiple domains, databases, application servers, operating systems and virtualization, with a complete end-to-end visibility. JBoss ON does not provide management capabilities across the complete architecture, only basic monitoring. Even deployment must be done aside JBoss ON which does no integrate well with others softwares than JBoss. Until now, JBoss ON does not supports JBoss EAP 6, so even their minimal support for JBoss are not available for JBoss EAP 6 leaving customers uncovered and subject to high skilled JBoss admin people. - WebLogic Server 12c has the same administration model whatever is the topology selected by the customer. JBoss EAP 6 on the other hand differentiates between two operational models: standalone-mode and domain-mode, that are not consistent with each other. Depending on the mode used, the administration skill is different. - WebLogic Server 12c has no point-of-failures processes, and it does not need to define any specialized server. Domain model in WebLogic is available for years (at least ten years or more) and is production proven. JBoss EAP 6 on the other hand needs special processes to garantee JBoss integrity, the PC ("Process-Controller") and the HC ("Host-Controller"). Different from WebLogic, the domain model in JBoss is quite new (one year at tops) of maturity, and need to mature considerably until start doing things like WebLogic domain model does. - WebLogic Server 12c supports parallel deployment model which enables some artifacts being deployed at the same time. JBoss EAP 6 on the other hand does not have any similar feature. Every deployment are done atomically in the containers. This means that if you have a huge EAR (an EAR of 120 MB of size for instance) and deploy onto JBoss EAP 6, this EAR will take some minutes in order to starting accept thread requests. The same EAR deployed onto WebLogic Server 12c will reduce the deployment time at least in 2X compared to JBoss. 4) Support and Upgrades - WebLogic Server 12c has patch management available. JBoss EAP 6 on the other hand has no patch management available, each JBoss EAP instance should be patched manually. To achieve such feature, you need to buy a separated technology called JBoss ON ("Operations Network") that manage this type of stuff. But until now, JBoss ON does not support JBoss EAP 6 so, in practice, JBoss EAP 6 does not have this feature. - WebLogic Server 12c supports previuous WebLogic domains without any reconfiguration since its kernel is robust and mature since its creation in 1995. JBoss EAP 6 on the other hand has a proven lack of supportability between JBoss AS 4, 5, 6 and 7. Different kernels and messaging engines were implemented in JBoss stack in the last five years reveling their incapacity to create a well architected and proven middleware technology. - WebLogic Server 12c has patch prescription based on customer configuration. JBoss EAP 6 on the other hand has no such capability. People need to create ticket supports and have their installations revised by Red Hat support guys to gain some patch prescription from them. - Oracle WebLogic Server independent of the version has 8 years of support of new patches and has lifetime release of existing patches beyond that. JBoss EAP 6 on the other hand provides patches for a specific application server version up to 5 years after the release date. JBoss EAP 4 and previous versions had only 4 years. A good question that Red Hat will argue to answer is: "what happens when you find issues after year 5"?  5) RAC ("Real Application Clusters") Support - WebLogic Server 12c ships with a specific JDBC driver to leverage Oracle RAC clustering capabilities (Fast-Application-Notification, Transaction Affinity, Fast-Connection-Failover, etc). Oracle JDBC thin driver are also available. JBoss EAP 6 on the other hand ships only the standard Oracle JDBC thin driver. Load balancing with Oracle RAC are not supported. Manual intervention in case of planned or unplanned RAC downtime are necessary. In JBoss EAP 6, situation does not reestablish automatically after downtime. - WebLogic Server 12c has a feature called Active GridLink for Oracle RAC which provides up to 3X performance on OLTP applications. This seamless integration between WebLogic and Oracle database enable more value added to critical business applications leveraging their investments in Oracle database technology and Oracle middleware. JBoss EAP 6 on the other hand has no performance gains at all, even when admin people implement some kind of connection-pooling tuning. - WebLogic Server 12c also supports transaction and web session affinity to the Oracle RAC, which provides aditional gains of performance. This is particularly interesting if you are creating a reliable solution that are distributed not only in an LAN cluster, but into a different data center. JBoss EAP 6 on the other hand has no such support. 6) Standards and Technology Support - WebLogic Server 12c is fully Java EE 6 compatible and production ready since december of 2011. JBoss EAP 6 on the other hand became fully compatible with Java EE 6 only in the community version after three months, and production ready only in a few days considering that this article was written in June of 2012. Red Hat says that they are the masters of innovation and technology proliferation, but compared with Oracle and even other proprietary vendors like IBM, they historically speaking are lazy to deliver the most newest technologies and standards adherence. - Oracle is the steward of Java, driving innovation into the platform from commercial and open-source vendors. Red Hat on the other hand does not have its own JVM and relies on third-part JVMs to complete their application server offer. 95% of Red Hat customers are using Oracle HotSpot as JVM, which means that without Oracle involvement, their support are limited exclusively to the application server layer and we all know that most problems are happens in the JVM layer. - WebLogic Server 12c supports natively JDK 7, which empower developers to explore the maximum of the Java platform productivity when writing code. This feature differentiate WebLogic from others application servers (except GlassFish that are also managed by Oracle) because the usage of JDK 7 introduce such remarkable productivity features like the "try-with-resources" enhancement, catching multiple exceptions with one try block, Strings in the switch statements, JVM improvements in terms of JDBC, I/O, networking, security, concurrency and of course, the most important feature of Java 7: native support for multiple non-Java languages. More features regarding JDK 7 can be found here. JBoss EAP 6 on the other hand does not support JDK 7 officially, they comment in their community version that "Java SE 7 can be used with JBoss 7" which does not gives you any guarantees of enterprise support for JDK 7. - Oracle WebLogic Server 12c supports integration with Spring framework allowing Spring applications to use WebLogic special transaction manager, exposing bean interfaces to WebLogic MBeans to take advantage of all WebLogic monitoring and administration advantages. JBoss EAP 6 on the other hand has no special integration with Spring. In fact, Red Hat offers a suspicious package called "JBoss Web Platform" that in theory supports Spring, but in practice this package does not offers any special integration. It is just a facility for Red Hat customers to have support from both JBoss and Spring technology using the same customer support. 7) Lightweight Development - Oracle WebLogic Server 12c and Oracle GlassFish are completely integrated and can share applications without any modifications. Starting with the 12c version, WebLogic now understands natively GlassFish deployment descriptors and specific configurations in order to offer you a truly and reliable migration path from a community Java EE application server to a enterprise middleware product like WebLogic. JBoss EAP 6 on the other hand has no support to natively reuse an existing (or still in development) application from JBoss AS community server. Users of JBoss suffer of critical issues during deployment time that includes: changing the libraries and dependencies of the application, patching the DTD or XSD deployment descriptors, refactoring of the application layers due classloading issues and anomalies, rebuilding of persistence, business and web layers due issues with "usage of the certified version of an certain dependency" or "frameworks that Red Hat potentially does not recommend" etc. If you have the culture or enterprise IT directive of developing Java EE applications using community middleware to in a certain future, transition to enterprise (supported by a vendor) middleware, Oracle WebLogic plus Oracle GlassFish offers you a more sustainable solution. - WebLogic Server 12c has a very light ZIP distribution (less than 165 MB). JBoss EAP 6 ZIP size is around 130 MB, together with JBoss ON you have more 100 MB resulting in a higher download footprint. This is particularly interesting if you plan to use automated setup of application server instances (for example, to rapidly setup a development or staging environment) using Maven or Hudson. - WebLogic Server 12c has a complete integration with Maven allowing developers to setup WebLogic domains with few commands. Tasks like downloading WebLogic, installation, domain creation, data sources deployment are completely integrated. JBoss EAP 6 on the other hand has a limited offer integration with those tools.  - WebLogic Server 12c has a startup mode called WLX that turns-off EJB, JMS and JCA containers leaving enabled only the web container with Java EE 6 web profile. JBoss EAP 6 on the other hand has no such feature, you need to disable manually the containers that you do not want to use. - WebLogic Server 12c supports fastswap, which enables you to change classes without redeployment. This is particularly interesting if you are developing patches for the application that is already deployed and you do not want to redeploy the entire application. This is the same behavior that most application servers offers to JSP pages, but with WebLogic Server 12c, you have the same feature for Java classes in general. JBoss EAP 6 on the other hand has no such support. Even JBoss EAP 5 does not support this until now. 8) JMS and Messaging - WebLogic Server 12c has a proven and high scalable JMS implementation since its initial release in 1995. JBoss EAP 6 on the other hand has a still immature technology called HornetQ, which was introduced in JBoss EAP 5 replacing everything that was implemented in the previous versions. Red Hat loves to introduce new technologies across JBoss versions, playing around with customers and their investments. And when they are asked about why they have changed the implementation and caused such a mess, their answer is always: "the previous implementation was inadequate and not aligned with the community strategy so we are creating a new a improved one". This Red Hat practice leads to uncomfortable investments that in a near future (sometimes less than a year) will be affected in someway. - WebLogic Server 12c has troubleshooting and monitoring features included on the WebLogic console and WLDF. JBoss EAP 6 on the other hand has no direct monitoring on the console, activity is reflected only on the logs, no debug logs available in case of JMS issues. - WebLogic Server 12c has extremely good performance and scalability. JBoss EAP 6 on the other hand has a JMS storage mechanism relying on Oracle database or MySQL. This means that if an issue in production happens and Red Hat affirms that an performance issue is happening due to database problems, they will not support you on the performance issue. They will orient you to call Oracle instead. - WebLogic Server 12c supports messaging enterprise features like SAF ("Store and Forward"), Distributed Queues/Topics and Foreign JMS providers support that leverage JMS implementations without compromise developer code making things completely transparent. JBoss EAP 6 on the other hand do not even dream to support such features. 9) Caching and Grid - Coherence, which is the leading and most mature data grid technology from Oracle, is available since early 2000 and was integrated with WebLogic in 2009. Coherence and WebLogic clusters can be both managed from WebLogic administrative console. Even Node Manager supports Coherence. JBoss on the other hand discontinued JBoss Cache, which was their caching implementation just like they did with the messaging implementation (JBossMQ) which was a issue for long term customers. JBoss EAP 6 ships InfiniSpan version 1.0 which is immature and lack a proven record of successful cases and reliability. - WebLogic Server 12c has a feature called ActiveCache which uses Coherence to, without any code changes, replicate HTTP sessions from both WebLogic and other application servers like JBoss, Tomcat, Websphere, GlassFish and even Microsoft IIS. JBoss EAP 6 on the other hand does have such support and even when they do in the future, they probably will support only their own application server. - Coherence can be used to manage both L1 and L2 cache levels, providing support to Oracle TopLink and others JPA compliant implementations, even Hibernate. JBoss EAP 6 and Infinispan on the other hand supports only Hibernate. And most important of all: Infinispan does not have any successful case of L1 or L2 caching level support using Hibernate, which lead us to reflect about its viability. 10) Performance - WebLogic Server 12c is certified with Oracle Exalogic Elastic Cloud and can run unchanged applications at this engineered system. This approach can benefit customers from Exalogic optimization's of both kernel and JVM layers to boost performance in terms of 10X for web, OLTP, JMS and grid applications. JBoss EAP 6 on the other hand has no investment on engineered systems: customers do not have the choice to deploy on a Java ultra fast system if their project becomes relevant and performance issues are detected. - WebLogic Server 12c maintains a performance gain across each new release: starting on WebLogic 5.1, the overall performance gain has been close to 4X, which close to a 20% gain release by release. JBoss on the other hand does not provide SPECJAppServer or SPECJEnterprise performance benchmarks. Their so called "performance gains" remains hidden in their customer environments, which lead us to think if it is true or not since we will never get access to those environments. - WebLogic Server 12c has industry performance benchmarks with submissions across platforms and configurations leading SPECJ. Oracle WebLogic leads SPECJAppServer performance in multiple categories, fitting all customer topologies like: dual-node, single-node, multi-node and multi-node with RAC. JBoss... again, does not provide any SPECJAppServer performance benchmarks. - WebLogic Server 12c has a feature called work manager which allows your application to embrace new performance levels based on critical resource utilization of the CPUs usage. Work managers prioritizes work and allocates threads based on an execution model that takes into account administrator-defined parameters and actual run-time performance and throughput. JBoss EAP 6 on the other hand has no compared feature and probably they never will. Not supporting such feature like work managers, JBoss EAP 6 forces admin people and specially developers to uncover performance gains in a intrusive way, rewriting the code and doing performance refactorings. 11) Professional Services Support - WebLogic Server 12c and any other technology sold by Oracle give customers the possibility of hire OCS ("Oracle Consulting Services") to manage critical scenarios, deployment assistance of new applications, high skilled consultancy of architecture, best practices and people allocation together with customer teams. All OCS services are available without any restrictions, having the customer bought software from Oracle or just starting their implementation before any acquisition. JBoss EAP 6 or Red Hat to be more specifically, only offers professional services if you buy subscriptions from them. If you are developing a new critical application for your business and need the help of Red Hat for a serious issue or architecture decision, they will probably say: "OK... I can help you but after you buy subscriptions from me". Red Hat also does not allows their professional services consultants to manage environments that uses community based software. They will probably force you to first buy a subscription, download their "enterprise" version and them, optionally hire their consultants. - Oracle provides you our university to educate your team into our technologies, including of course specialized trainings of WebLogic application server. At any time and location, you can hire Oracle to train your team so you get trustful knowledge according to your specific needs. Certifications for the products are also available if your technical people desire to differentiate themselves as professionals. Red Hat on the other hand have a limited pool of resources to train your team in their technologies. Basically they are selling training and certification for RHEL ("Red Hat Enterprise Linux") but if you demand more specialized training in JBoss middleware, they will probably connect you to some "certified" partner localized training since they are apparently discontinuing their education center, at least here in Brazil. They were not able to reproduce their success with RHEL education to their middleware division since they need first sell the subscriptions to after gives you specialized training. And again, they only offer you specialized training based on their enterprise version (EAP in the case of JBoss) which means that the courses will be a quite outdated. There are reports of developers that took official training's from Red Hat at this year (2012) and in a certain JBoss advanced course, Red Hat supposedly covered JBossMQ as the messaging subsystem, and even the printed material provided was based on JBossMQ since the training was created for JBoss EAP 4.3. 12) Encouraging Transparency without Ulterior Motives - WebLogic Server 12c like any other software from Oracle can be downloaded any time from anywhere, you should only possess an OTN ("Oracle Technology Network") credential and you can download any enterprise software how many times you want. And is not some kind of "trial" version. It is the official binaries that will be running for ever in your data center. Oracle does not encourages the usage of "specific versions" of our software. The binaries you buy from Oracle are the same binaries anyone in the world could download and use for testing and personal education. JBoss EAP 6 on the other hand are not available for download unless you buy a subscription and get access to the Red Hat enterprise repositories. If you need to test, learn or just start creating your application using Red Hat's middleware software, you should download it from the community website. You are not allowed to download the enterprise version that, according to Red Hat are more secure, reliable and robust. But no one of us want to start the development of a software with an unsecured, unreliable and not scalable middleware right? So what you do? You are "invited" by Red Hat to buy subscriptions from them to get access to the "cool" version of the software. - WebLogic Server 12c prices are publicly available in the Oracle website. If you want to know right now how much WebLogic will cost to your organization, just click here and get access to our price list. In the case of WebLogic, check out the "US Oracle Technology Commercial Price List". Oracle also encourages you to get in touch with a sales representative to discuss discounts that would make possible the investment into our technology. But you are not required to do this, only if you are interested in buying our technology or maybe you want to discuss some discount scenarios. JBoss EAP 6 on the other hand does not have its cost publicly available in Red Hat's website or in any other media, at least is not so easy to get such information. The only link you will possibly find in their website is a "Contact a Sales Representative" link. This is not a very good relationship between an customer and an vendor. This is not an example of transparency, mainly when the software are sold as open. In this situations, customers expects to see the software prices publicly available, so they can have the chance to decide, based on the existing features of the software, if the cost is fair or not. Conclusion Oracle WebLogic is the most mature, secure, reliable and scalable Java EE application server of the market, and have a proven record of success around the globe to prove it's majority. Don't lose the chance to discover today how WebLogic could fit your needs and sustain your global IT middleware strategy, no matter if your strategy are completely based on the Cloud or not.

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• IIS 7.5 , Tomcat 7 - Isapi redirector - Fail Over - sticky sessions

  - by Jose Matias

  I have two instances of Tomcat 7.0.8 running in the same machine (Tomcat7A and Tomcat7B) and IIS 7.5 acting as front-end load-balancer with isapi-redirector 1.2.31, running on Windows 2008 R2. When i disconnect the instance wich is handling a request i can see a new instance being assigned with the same sessionid but then the user is redirected to the login page. server.xml configuration file <Engine name="Catalina" defaultHost="localhost" jvmRoute="Tomcat7A"> <Realm className="org.apache.catalina.realm.LockOutRealm"> <Realm className="org.apache.catalina.realm.UserDatabaseRealm" resourceName="UserDatabase"/> </Realm> <Host name="localhost" appBase="webapps" unpackWARs="true" autoDeploy="true"> <Cluster className="org.apache.catalina.ha.tcp.SimpleTcpCluster" channelSendOptions="8"> <Manager className="org.apache.catalina.ha.session.DeltaManager" expireSessionsOnShutdown="false" notifyListenersOnReplication="true"/> <Channel className="org.apache.catalina.tribes.group.GroupChannel"> <Membership className="org.apache.catalina.tribes.membership.McastService" address="228.0.0.8" bind="7.3.1.22" port="45564" frequency="500" dropTime="3000"/> <Receiver className="org.apache.catalina.tribes.transport.nio.NioReceiver" address="auto" port="4200" autoBind="100" selectorTimeout="5000" maxThreads="6"/> <Sender className="org.apache.catalina.tribes.transport.ReplicationTransmitter"> <Transport className="org.apache.catalina.tribes.transport.nio.PooledParallelSender"/> </Sender> <Interceptor className="org.apache.catalina.tribes.group.interceptors.TcpFailureDetector"/> <Interceptor className="org.apache.catalina.tribes.group.interceptors.MessageDispatch15Interceptor"/> </Channel> <Valve className="org.apache.catalina.ha.tcp.ReplicationValve" filter=".*\.gif;.*\.js;.*\.jpg;.*\.htm;.*\.html;.*\.txt"/> <Valve className="org.apache.catalina.ha.session.JvmRouteBinderValve"/> <ClusterListener className="org.apache.catalina.ha.session.JvmRouteSessionIDBinderListener"/> <ClusterListener className="org.apache.catalina.ha.session.ClusterSessionListener"/> </Cluster> <Valve className="org.apache.catalina.valves.AccessLogValve" directory="logs" prefix="localhost_access_log." suffix=".txt" pattern="%h %l %u %t &quot;%r&quot; %s %b" resolveHosts="false"/> </Host> </Engine> worker_mount_file=C:\tomcat\iis\conf\uriworkermap_prod.properties worker.list = balancer,status worker.Tomcat7B.host = 7.3.1.22 worker.Tomcat7B.type = ajp13 worker.Tomcat7B.port = 8010 worker.Tomcat7B.lbfactor = 10 worker.Tomcat7A.host = 7.3.1.22 worker.Tomcat7A.type = ajp13 worker.Tomcat7A.port = 8009 worker.Tomcat7A.lbfactor = 10 worker.balancer.type = lb worker.balancer.sticky_session = 1 worker.balancer.balance_workers = Tomcat7B, Tomcat7A worker.status.type = status isapi_redirect log [debug] wc_get_worker_for_name::jk_worker.c (116): found a worker balancer [debug] HttpExtensionProc::jk_isapi_plugin.c (2188): got a worker for name balancer [debug] service::jk_lb_worker.c (1118): service sticky_session=1 id='89569C584CC4F58740D649C4BE655D36.Tomcat7B' [debug] get_most_suitable_worker::jk_lb_worker.c (946): searching worker for partial sessionid 89569C584CC4F58740D649C4BE655D36.Tomcat7B [debug] get_most_suitable_worker::jk_lb_worker.c (954): searching worker for session route Tomcat7B [debug] get_most_suitable_worker::jk_lb_worker.c (968): found worker Tomcat7B (Tomcat7B) for route Tomcat7B and partial sessionid 89569C584CC4F58740D649C4BE655D36.Tomcat7B [debug] service::jk_lb_worker.c (1161): service worker=Tomcat7B route=Tomcat7B [debug] ajp_get_endpoint::jk_ajp_common.c (3096): acquired connection pool slot=0 after 0 retries [debug] ajp_marshal_into_msgb::jk_ajp_common.c (605): ajp marshaling done [debug] ajp_service::jk_ajp_common.c (2379): processing Tomcat7B with 2 retries [debug] jk_shutdown_socket::jk_connect.c (726): About to shutdown socket 820 [7.3.1.22:24482 -> 7.3.1.22:8010] [debug] jk_shutdown_socket::jk_connect.c (797): shutting down the read side of socket 820 [7.3.1.22:24482 -> 7.3.1.22:8010] [debug] jk_shutdown_socket::jk_connect.c (808): Shutdown socket 820 [7.3.1.22:24482 -> 7.3.1.22:8010] and read 0 lingering bytes in 0 sec. [debug] ajp_send_request::jk_ajp_common.c (1496): (Tomcat7B) failed sending request, socket 820 is not connected any more (errno=-10000) [debug] ajp_next_connection::jk_ajp_common.c (823): (Tomcat7B) Will try pooled connection socket 896 from slot 1 [debug] jk_shutdown_socket::jk_connect.c (726): About to shutdown socket 896 [7.3.1.22:24488 -> 7.3.1.22:8010] [debug] jk_shutdown_socket::jk_connect.c (797): shutting down the read side of socket 896 [7.3.1.22:24488 -> 7.3.1.22:8010] [debug] jk_shutdown_socket::jk_connect.c (808): Shutdown socket 896 [7.3.1.22:24488 -> 7.3.1.22:8010] and read 0 lingering bytes in 0 sec. [debug] ajp_send_request::jk_ajp_common.c (1496): (Tomcat7B) failed sending request, socket 896 is not connected any more (errno=-10000) [info] ajp_send_request::jk_ajp_common.c (1567): (Tomcat7B) all endpoints are disconnected, detected by connect check (2), cping (0), send (0) [debug] jk_open_socket::jk_connect.c (484): socket TCP_NODELAY set to On [debug] jk_open_socket::jk_connect.c (608): trying to connect socket 896 to 7.3.1.22:8010 [info] jk_open_socket::jk_connect.c (626): connect to 7.3.1.22:8010 failed (errno=61) [info] ajp_connect_to_endpoint::jk_ajp_common.c (959): Failed opening socket to (7.3.1.22:8010) (errno=61) [error] ajp_send_request::jk_ajp_common.c (1578): (Tomcat7B) connecting to backend failed. Tomcat is probably not started or is listening on the wrong port (errno=61) [info] ajp_service::jk_ajp_common.c (2543): (Tomcat7B) sending request to tomcat failed (recoverable), because of error during request sending (attempt=1) [debug] ajp_service::jk_ajp_common.c (2400): retry 1, sleeping for 100 ms before retrying [debug] ajp_send_request::jk_ajp_common.c (1572): (Tomcat7B) all endpoints are disconnected. [debug] jk_open_socket::jk_connect.c (484): socket TCP_NODELAY set to On [debug] jk_open_socket::jk_connect.c (608): trying to connect socket 896 to 7.3.1.22:8010 [info] jk_open_socket::jk_connect.c (626): connect to 7.3.1.22:8010 failed (errno=61) [info] ajp_connect_to_endpoint::jk_ajp_common.c (959): Failed opening socket to (7.3.1.22:8010) (errno=61) [error] ajp_send_request::jk_ajp_common.c (1578): (Tomcat7B) connecting to backend failed. Tomcat is probably not started or is listening on the wrong port (errno=61) [info] ajp_service::jk_ajp_common.c (2543): (Tomcat7B) sending request to tomcat failed (recoverable), because of error during request sending (attempt=2) [error] ajp_service::jk_ajp_common.c (2562): (Tomcat7B) connecting to tomcat failed. [debug] ajp_reset_endpoint::jk_ajp_common.c (757): (Tomcat7B) resetting endpoint with socket -1 (socket shutdown) [debug] ajp_done::jk_ajp_common.c (3013): recycling connection pool slot=0 for worker Tomcat7B [debug] service::jk_lb_worker.c (1374): worker Tomcat7B escalating local error to global error [info] service::jk_lb_worker.c (1388): service failed, worker Tomcat7B is in error state [debug] service::jk_lb_worker.c (1399): recoverable error... will try to recover on other worker [debug] get_most_suitable_worker::jk_lb_worker.c (946): searching worker for partial sessionid 89569C584CC4F58740D649C4BE655D36.Tomcat7B [debug] get_most_suitable_worker::jk_lb_worker.c (954): searching worker for session route Tomcat7B [debug] get_most_suitable_worker::jk_lb_worker.c (1001): found best worker Tomcat7A (Tomcat7A) using method 'Request' [debug] service::jk_lb_worker.c (1161): service worker=Tomcat7A route=Tomcat7B [debug] ajp_get_endpoint::jk_ajp_common.c (3096): acquired connection pool slot=0 after 0 retries [debug] ajp_marshal_into_msgb::jk_ajp_common.c (605): ajp marshaling done [debug] ajp_service::jk_ajp_common.c (2379): processing Tomcat7A with 2 retries [debug] ajp_send_request::jk_ajp_common.c (1572): (Tomcat7A) all endpoints are disconnected. [debug] jk_open_socket::jk_connect.c (484): socket TCP_NODELAY set to On [debug] jk_open_socket::jk_connect.c (608): trying to connect socket 896 to 7.3.1.22:8009 [debug] jk_open_socket::jk_connect.c (634): socket 896 [7.3.1.22:24496 -> 7.3.1.22:8009] connected [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): sending to ajp13 pos=4 len=615 max=8192 [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0000 .4.c....HTTP/1.1 [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0010 .../Accounter/pr [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0020 intFrameSet.jhtm [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0030 l...::1...::1... [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0040 localhost..P.... [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0050 ...Keep-Alive... [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0060 ..0....rimage/jp [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0070 eg,.image/gif,.i [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0080 mage/pjpeg,.appl [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0090 ication/x-ms-app [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00a0 lication,.applic [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00b0 ation/xaml+xml,. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00c0 application/x-ms [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00d0 -xbap,.*/*...Acc [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00e0 ept-Encoding...g [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00f0 zip,.deflate...A [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0100 ccept-Language.. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0110 .nb-NO....]Usern [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0120 ame=NA_jose.mati [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0130 as_AT_addenergy. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0140 no;.JSESSIONID=8 [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0150 9569C584CC4F5874 [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0160 0D649C4BE655D36. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0170 Tomcat7B.....loc [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0180 alhost.....http: [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0190 //localhost/Acco [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01a0 unter/NemsAccoun [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01b0 ter.jhtml....uMo [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01c0 zilla/4.0.(compa [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01d0 tible;.MSIE.8.0; [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01e0 .Windows.NT.6.1; [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01f0 .WOW64;.Trident/ [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0200 4.0;.SLCC2;..NET [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0210 .CLR.2.0.50727;. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0220 .NET4.0C;..NET4. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0230 0E)............F [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0240 rameName=Reports [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0250 _CS_EUETS....Tom [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0260 cat7B........... [debug] ajp_send_request::jk_ajp_common.c (1632): (Tomcat7A) request body to send 0 - request body to resend 0 [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): received from ajp13 pos=0 len=238 max=8192 [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0000 .....Moved.Tempo [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0010 rarily......OJSE [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0020 SSIONID=6A2507A4 [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0030 626F698EC74A733C [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0040 DBA7D9FE.Tomcat7 [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0050 A;.Path=/Account [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0060 er;.HttpOnly...P [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0070 ragma...no-cache [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0080 ...Cache-Control [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0090 ...no-cache....& [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 00a0 http://localhost [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 00b0 /Accounter/login [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 00c0 .jhtml.....text/ [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 00d0 html;charset=ISO [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 00e0 -8859-1.....0... [debug] ajp_unmarshal_response::jk_ajp_common.c (660): status = 302 [debug] ajp_unmarshal_response::jk_ajp_common.c (667): Number of headers is = 6 [debug] ajp_unmarshal_response::jk_ajp_common.c (723): Header[0] [Set-Cookie] = [JSESSIONID=6A2507A4626F698EC74A733CDBA7D9FE.Tomcat7A; Path=/Accounter; HttpOnly] [debug] ajp_unmarshal_response::jk_ajp_common.c (723): Header[1] [Pragma] = [no-cache] [debug] ajp_unmarshal_response::jk_ajp_common.c (723): Header[2] [Cache-Control] = [no-cache] [debug] ajp_unmarshal_response::jk_ajp_common.c (723): Header[3] [Location] = [http://localhost/Accounter/login.jhtml] [debug] ajp_unmarshal_response::jk_ajp_common.c (723): Header[4] [Content-Type] = [text/html;charset=ISO-8859-1] [debug] ajp_unmarshal_response::jk_ajp_common.c (723): Header[5] [Content-Length] = [0] [debug] start_response::jk_isapi_plugin.c (963): Starting response for URI '/Accounter/printFrameSet.jhtml' (protocol HTTP/1.1) [debug] start_response::jk_isapi_plugin.c (1063): Not using Keep-Alive [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): received from ajp13 pos=0 len=2 max=8192 [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0000 ................ [debug] ajp_process_callback::jk_ajp_common.c (1943): AJP13 protocol: Reuse is OK [debug] ajp_reset_endpoint::jk_ajp_common.c (757): (Tomcat7A) resetting endpoint with socket 896 [debug] ajp_done::jk_ajp_common.c (3013): recycling connection pool slot=0 for worker Tomcat7A [debug] HttpExtensionProc::jk_isapi_plugin.c (2211): service() returned OK [debug] HttpFilterProc::jk_isapi_plugin.c (1851): Filter started [debug] map_uri_to_worker_ext::jk_uri_worker_map.c (1036): Attempting to map URI '/localhost/Accounter/login.jhtml' from 8 maps [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/servlet/*=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/ws/*=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/nems*.pdf=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/*.service=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/*.jhtml=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/*.json=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/jkmanager=status' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/servlet/*=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/ws/*=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/nems*.pdf=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/*.service=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (850): Attempting to map context URI '/Accounter/*.jhtml=balancer' source 'uriworkermap' [debug] find_match::jk_uri_worker_map.c (863): Found a wildchar match '/Accounter/*.jhtml=balancer' [debug] HttpFilterProc::jk_isapi_plugin.c (1938): check if [/Accounter/login.jhtml] points to the web-inf directory [debug] HttpFilterProc::jk_isapi_plugin.c (1954): [/Accounter/login.jhtml] is a servlet url - should redirect to balancer [debug] HttpFilterProc::jk_isapi_plugin.c (1994): fowarding escaped URI [/Accounter/login.jhtml] [debug] init_ws_service::jk_isapi_plugin.c (2982): Reading extension header HTTP_TOMCATWORKER0000000180000000: balancer [debug] init_ws_service::jk_isapi_plugin.c (2983): Reading extension header HTTP_TOMCATWORKERIDX0000000180000000: 5 [debug] init_ws_service::jk_isapi_plugin.c (2984): Reading extension header HTTP_TOMCATURI0000000180000000: /Accounter/login.jhtml [debug] init_ws_service::jk_isapi_plugin.c (2985): Reading extension header HTTP_TOMCATQUERY0000000180000000: (null) [debug] init_ws_service::jk_isapi_plugin.c (3040): Applying service extensions [debug] init_ws_service::jk_isapi_plugin.c (3298): Service protocol=HTTP/1.1 method=GET host=::1 addr=::1 name=localhost port=80 auth= user= uri=/Accounter/login.jhtml [debug] init_ws_service::jk_isapi_plugin.c (3310): Service request headers=9 attributes=0 chunked=no content-length=0 available=0 [debug] wc_get_worker_for_name::jk_worker.c (116): found a worker balancer [debug] HttpExtensionProc::jk_isapi_plugin.c (2188): got a worker for name balancer [debug] service::jk_lb_worker.c (1118): service sticky_session=1 id='6A2507A4626F698EC74A733CDBA7D9FE.Tomcat7A' [debug] get_most_suitable_worker::jk_lb_worker.c (946): searching worker for partial sessionid 6A2507A4626F698EC74A733CDBA7D9FE.Tomcat7A [debug] get_most_suitable_worker::jk_lb_worker.c (954): searching worker for session route Tomcat7A [debug] get_most_suitable_worker::jk_lb_worker.c (968): found worker Tomcat7A (Tomcat7A) for route Tomcat7A and partial sessionid 6A2507A4626F698EC74A733CDBA7D9FE.Tomcat7A [debug] service::jk_lb_worker.c (1161): service worker=Tomcat7A route=Tomcat7A [debug] ajp_get_endpoint::jk_ajp_common.c (3096): acquired connection pool slot=0 after 0 retries [debug] ajp_marshal_into_msgb::jk_ajp_common.c (605): ajp marshaling done [debug] ajp_service::jk_ajp_common.c (2379): processing Tomcat7A with 2 retries [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): sending to ajp13 pos=4 len=577 max=8192 [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0000 .4.=....HTTP/1.1 [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0010 .../Accounter/lo [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0020 gin.jhtml...::1. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0030 ..::1...localhos [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0040 t..P.......Keep- [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0050 Alive.....0....r [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0060 image/jpeg,.imag [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0070 e/gif,.image/pjp [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0080 eg,.application/ [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0090 x-ms-application [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00a0 ,.application/xa [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00b0 ml+xml,.applicat [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00c0 ion/x-ms-xbap,.* [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00d0 /*...Accept-Enco [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00e0 ding...gzip,.def [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 00f0 late...Accept-La [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0100 nguage...nb-NO.. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0110 ..]Username=NA_j [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0120 ose.matias_AT_ad [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0130 denergy.no;.JSES [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0140 SIONID=6A2507A46 [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0150 26F698EC74A733CD [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0160 BA7D9FE.Tomcat7A [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0170 .....localhost.. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0180 ...http://localh [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0190 ost/Accounter/Ne [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01a0 msAccounter.jhtm [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01b0 l....uMozilla/4. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01c0 0.(compatible;.M [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01d0 SIE.8.0;.Windows [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01f0 Trident/4.0;.SLC [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 01e0 .NT.6.1;.WOW64;. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0200 C2;..NET.CLR.2.0 [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0210 .50727;..NET4.0C [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0220 ;..NET4.0E)..... [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0230 .......Tomcat7A. [debug] ajp_connection_tcp_send_message::jk_ajp_common.c (1145): 0240 ................ [debug] ajp_send_request::jk_ajp_common.c (1621): (Tomcat7A) Statistics about invalid connections: connect check (0), cping (0), send (0) [debug] ajp_send_request::jk_ajp_common.c (1632): (Tomcat7A) request body to send 0 - request body to resend 0 [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): received from ajp13 pos=0 len=135 max=8192 [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0000 .....OK.....Prag [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0010 ma...no-cache... [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0020 Expires...Thu,.0 [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0030 1.Jan.1970.00:00 [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0040 :00.GMT...Cache- [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0050 Control...no-cac [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0060 he...Cache-Contr [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0070 ol...no-store... [debug] ajp_connection_tcp_get_message::jk_ajp_common.c (1329): 0080 ..2995..........

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• Book Review: Middleware Management with Oracle Enterprise Manager Grid Control 10g R5

  - by olaf.heimburger

  When you are familar with the Oracle Database and Middleware stack, chances are that you came across the Enterprise Manager. It comes in many versions for the database or the middleware and differs in its features. If meet someone who talks about Enterprise Manager, it might be possible that this person is talking about something completely different - Enterprise Manager Grid Control. Enterprise Manager Grid Control is the Oracle product for the data center that monitors all databases - and middleware components as well as operating systems. Since the database part is taken for granted, is needs some additional steps to get into the world of centralized middleware management. That's what this book is for - bringing you in the world of middleware management. The Authors This book is written by Debu Panda, former Product Management Director of the Oracle Fusion Middleware Management development team, and Arvind Maheshwari, Senior Software Development Manager of the Oracle Enterprise Manager development team. The Book Oracle Enterprise Manager conceptionally works for many different management areas. As a user you often think of managing databases with it. This is a wide area and deserves another book. The least known area is the middleware management and that's what the booked aimes for. The first 3 chapters cover the key features of Enterprise Manager Grid Control, Installing Enterprise Manager Grid Control, and Enterprise Manager Key Concepts and Subsystems. The foundation you need to understand the whole software and the following chapters. Read them in order and you are well prepared for the next 10 chapters on managing the various bits and pieces in your data center. The list of bits and pieces is always a surprise, no matter how often you open the book. You can manage Oracle WebLogic Server, Oracle Application Server, Oracle Forms and Reports Services, SOA Suite 10g, Oracle Service Bus 10g, Oracle Internet Directory, Oracle Virtual Directory, Oracle Access Manager, Oracle Identity Manager, Oracle Identity Federation, Oracle Coherence Cluster, Non-Oracle Middleware like Apache, Tomcat, JBoss, OBM WebSphere and much much more. The chapters for these components can be read in any order you like, you only need the foundation chapters and continue with the parts in your data center. Once you are done with them, don't forget to read the last chapter, Best Practices for Managing Middleware Components using Enterprise Manager. Read it, understand it, and implement it in your organization. This will save you valueable time and budget. Recommendation This book is mainly written for the Enterprise Manager newbies and saves you a lot of time while going through the standard product documentation. All chapters are considerable short and tell exactly what need to know to get started with. Nothing more and nothing less. That's the beauty of it and why I love it. Due to its limitation it will cover everything you'd like to know, but it gets you started and interested for more insights. But that is the job of the product documentation. The Details Title Middleware Management with Oracle Enterprise Manager Grid Control 10g R5 Authors Debu Panda and Arvind Maheshwari Paperback 310 pages ISBN 13 978-1-847198-34-1

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• Big Data – Buzz Words: What is MapReduce – Day 7 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned what is Hadoop. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – MapReduce. What is MapReduce? MapReduce was designed by Google as a programming model for processing large data sets with a parallel, distributed algorithm on a cluster. Though, MapReduce was originally Google proprietary technology, it has been quite a generalized term in the recent time. MapReduce comprises a Map() and Reduce() procedures. Procedure Map() performance filtering and sorting operation on data where as procedure Reduce() performs a summary operation of the data. This model is based on modified concepts of the map and reduce functions commonly available in functional programing. The library where procedure Map() and Reduce() belongs is written in many different languages. The most popular free implementation of MapReduce is Apache Hadoop which we will explore tomorrow. Advantages of MapReduce Procedures The MapReduce Framework usually contains distributed servers and it runs various tasks in parallel to each other. There are various components which manages the communications between various nodes of the data and provides the high availability and fault tolerance. Programs written in MapReduce functional styles are automatically parallelized and executed on commodity machines. The MapReduce Framework takes care of the details of partitioning the data and executing the processes on distributed server on run time. During this process if there is any disaster the framework provides high availability and other available modes take care of the responsibility of the failed node. As you can clearly see more this entire MapReduce Frameworks provides much more than just Map() and Reduce() procedures; it provides scalability and fault tolerance as well. A typical implementation of the MapReduce Framework processes many petabytes of data and thousands of the processing machines. How do MapReduce Framework Works? A typical MapReduce Framework contains petabytes of the data and thousands of the nodes. Here is the basic explanation of the MapReduce Procedures which uses this massive commodity of the servers. Map() Procedure There is always a master node in this infrastructure which takes an input. Right after taking input master node divides it into smaller sub-inputs or sub-problems. These sub-problems are distributed to worker nodes. A worker node later processes them and does necessary analysis. Once the worker node completes the process with this sub-problem it returns it back to master node. Reduce() Procedure All the worker nodes return the answer to the sub-problem assigned to them to master node. The master node collects the answer and once again aggregate that in the form of the answer to the original big problem which was assigned master node. The MapReduce Framework does the above Map () and Reduce () procedure in the parallel and independent to each other. All the Map() procedures can run parallel to each other and once each worker node had completed their task they can send it back to master code to compile it with a single answer. This particular procedure can be very effective when it is implemented on a very large amount of data (Big Data). The MapReduce Framework has five different steps: Preparing Map() Input Executing User Provided Map() Code Shuffle Map Output to Reduce Processor Executing User Provided Reduce Code Producing the Final Output Here is the Dataflow of MapReduce Framework: Input Reader Map Function Partition Function Compare Function Reduce Function Output Writer In a future blog post of this 31 day series we will explore various components of MapReduce in Detail. MapReduce in a Single Statement MapReduce is equivalent to SELECT and GROUP BY of a relational database for a very large database. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – HDFS. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• How to Create Views for All Tables with Oracle SQL Developer

  - by thatjeffsmith

  Got this question over the weekend via a friend and Oracle ACE Director, so I thought I would share the answer here. If you want to quickly generate DDL to create VIEWs for all the tables in your system, the easiest way to do that with SQL Developer is to create a data model. Wait, why would I want to do this? StackOverflow has a few things to say on this subject… So, start with importing a data dictionary. Step One: Open of Create a Model In SQL Developer, go to View – Data Modeler – Browser. Then in the browser panel, expand your design and create a new Relational Model. Step Two: Import your Data Dictionary This is a fancy way of saying, ‘suck objects out of the database into my model’ This will open a wizard to connect, select your schema(s), objects, etc. Once they’re in your model, you’re ready to cook with gas I’m using HR (Human Resources) for this example. You should end up with something that looks like this. Our favorite HR model Now we’re ready to generate the views! Step Three: Auto-generate the Views Go to Tools – Data Modeler – Table to View Wizard. I don’t want all my tables included, and I want to change the naming standard Decide if you want to change the default generated view names By default the views will be created as ‘V_TABLE_NAME.’ If you don’t like the ‘V_’ you can enter your own. You also can reference the object and model name with variables as shown in the screenshot above. I’m going to go with something a little more personal. The views are the little green boxes in the diagram Can’t find your views? They should be grouped together in your diagram. Don’t forget to use the Navigator to easily find and navigate to those model diagram objects! Step Four: Generate the DDL Ok, let’s use the Generate DDL button on the toolbar. Un-check everything but your views If you used a prefix, take advantage of that to create a filter. You might have existing views in your model that you don’t want to include, right? Once you click ‘OK’ the DDL will be generated. -- Generated by Oracle SQL Developer Data Modeler 4.0.0.825 -- at: 2013-11-04 10:26:39 EST -- site: Oracle Database 11g -- type: Oracle Database 11g CREATE OR REPLACE VIEW HR.TJS_BLOG_COUNTRIES ( COUNTRY_ID , COUNTRY_NAME , REGION_ID ) AS SELECT COUNTRY_ID , COUNTRY_NAME , REGION_ID FROM HR.COUNTRIES ; CREATE OR REPLACE VIEW HR.TJS_BLOG_EMPLOYEES ( EMPLOYEE_ID , FIRST_NAME , LAST_NAME , EMAIL , PHONE_NUMBER , HIRE_DATE , JOB_ID , SALARY , COMMISSION_PCT , MANAGER_ID , DEPARTMENT_ID ) AS SELECT EMPLOYEE_ID , FIRST_NAME , LAST_NAME , EMAIL , PHONE_NUMBER , HIRE_DATE , JOB_ID , SALARY , COMMISSION_PCT , MANAGER_ID , DEPARTMENT_ID FROM HR.EMPLOYEES ; CREATE OR REPLACE VIEW HR.TJS_BLOG_JOBS ( JOB_ID , JOB_TITLE , MIN_SALARY , MAX_SALARY ) AS SELECT JOB_ID , JOB_TITLE , MIN_SALARY , MAX_SALARY FROM HR.JOBS ; CREATE OR REPLACE VIEW HR.TJS_BLOG_JOB_HISTORY ( EMPLOYEE_ID , START_DATE , END_DATE , JOB_ID , DEPARTMENT_ID ) AS SELECT EMPLOYEE_ID , START_DATE , END_DATE , JOB_ID , DEPARTMENT_ID FROM HR.JOB_HISTORY ; CREATE OR REPLACE VIEW HR.TJS_BLOG_LOCATIONS ( LOCATION_ID , STREET_ADDRESS , POSTAL_CODE , CITY , STATE_PROVINCE , COUNTRY_ID ) AS SELECT LOCATION_ID , STREET_ADDRESS , POSTAL_CODE , CITY , STATE_PROVINCE , COUNTRY_ID FROM HR.LOCATIONS ; CREATE OR REPLACE VIEW HR.TJS_BLOG_REGIONS ( REGION_ID , REGION_NAME ) AS SELECT REGION_ID , REGION_NAME FROM HR.REGIONS ; -- Oracle SQL Developer Data Modeler Summary Report: -- -- CREATE TABLE 0 -- CREATE INDEX 0 -- ALTER TABLE 0 -- CREATE VIEW 6 -- CREATE PACKAGE 0 -- CREATE PACKAGE BODY 0 -- CREATE PROCEDURE 0 -- CREATE FUNCTION 0 -- CREATE TRIGGER 0 -- ALTER TRIGGER 0 -- CREATE COLLECTION TYPE 0 -- CREATE STRUCTURED TYPE 0 -- CREATE STRUCTURED TYPE BODY 0 -- CREATE CLUSTER 0 -- CREATE CONTEXT 0 -- CREATE DATABASE 0 -- CREATE DIMENSION 0 -- CREATE DIRECTORY 0 -- CREATE DISK GROUP 0 -- CREATE ROLE 0 -- CREATE ROLLBACK SEGMENT 0 -- CREATE SEQUENCE 0 -- CREATE MATERIALIZED VIEW 0 -- CREATE SYNONYM 0 -- CREATE TABLESPACE 0 -- CREATE USER 0 -- -- DROP TABLESPACE 0 -- DROP DATABASE 0 -- -- REDACTION POLICY 0 -- -- ERRORS 0 -- WARNINGS 0 You can then choose to save this to a file or not. This has a few steps, but as the number of tables in your system increases, so does the amount of time this feature can save you!

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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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• SQL SERVER – ASYNC_IO_COMPLETION – Wait Type – Day 11 of 28

  - by pinaldave

  For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at another IO-related wait type. From Book On-Line: Occurs when a task is waiting for I/Os to finish. ASYNC_IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. If by any means your application that’s connected to SQL Server is processing the data very slowly, this type of wait can occur. Several long-running database operations like BACKUP, CREATE DATABASE, ALTER DATABASE or other operations can also create this wait type. Reducing ASYNC_IO_COMPLETION wait: When it is an issue related to IO, one should check for the following things associated to IO subsystem: Look at the programming and see if there is any application code which processes the data slowly (like inefficient loop, etc.). Note that it should be re-written to avoid this  wait type. Proper placing of the files is very important. We should check the file system for proper placement of the files – LDF and MDF on separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk), etc. Check the File Statistics and see if there is a higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly and so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on the development setup (test environment). As soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very likely to happen that there are no proper indexes on the system and yet there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the following two articles I wrote that talk about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Read all the post in the Wait Types and Queue series. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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• SQL SERVER – IO_COMPLETION – Wait Type – Day 10 of 28

  - by pinaldave

  For any good system three things are vital: CPU, Memory and IO (disk). Among these three, IO is the most crucial factor of SQL Server. Looking at real-world cases, I do not see IT people upgrading CPU and Memory frequently. However, the disk is often upgraded for either improving the space, speed or throughput. Today we will look at an IO-related wait types. From Book On-Line: Occurs while waiting for I/O operations to complete. This wait type generally represents non-data page I/Os. Data page I/O completion waits appear as PAGEIOLATCH_* waits. IO_COMPLETION Explanation: Any tasks are waiting for I/O to finish. This is a good indication that IO needs to be looked over here. Reducing IO_COMPLETION wait: When it is an issue concerning the IO, one should look at the following things related to IO subsystem: Proper placing of the files is very important. We should check the file system for proper placement of files – LDF and MDF on a separate drive, TempDB on another separate drive, hot spot tables on separate filegroup (and on separate disk),etc. Check the File Statistics and see if there is higher IO Read and IO Write Stall SQL SERVER – Get File Statistics Using fn_virtualfilestats. Check event log and error log for any errors or warnings related to IO. If you are using SAN (Storage Area Network), check the throughput of the SAN system as well as the configuration of the HBA Queue Depth. In one of my recent projects, the SAN was performing really badly so the SAN administrator did not accept it. After some investigations, he agreed to change the HBA Queue Depth on development (test environment) set up and as soon as we changed the HBA Queue Depth to quite a higher value, there was a sudden big improvement in the performance. It is very possible that there are no proper indexes in the system and there are lots of table scans and heap scans. Creating proper index can reduce the IO bandwidth considerably. If SQL Server can use appropriate cover index instead of clustered index, it can effectively reduce lots of CPU, Memory and IO (considering cover index has lesser columns than cluster table and all other; it depends upon the situation). You can refer to the two articles that I wrote; they are about how to optimize indexes: Create Missing Indexes Drop Unused Indexes Checking Memory Related Perfmon Counters SQLServer: Memory Manager\Memory Grants Pending (Consistent higher value than 0-2) SQLServer: Memory Manager\Memory Grants Outstanding (Consistent higher value, Benchmark) SQLServer: Buffer Manager\Buffer Hit Cache Ratio (Higher is better, greater than 90% for usually smooth running system) SQLServer: Buffer Manager\Page Life Expectancy (Consistent lower value than 300 seconds) Memory: Available Mbytes (Information only) Memory: Page Faults/sec (Benchmark only) Memory: Pages/sec (Benchmark only) Checking Disk Related Perfmon Counters Average Disk sec/Read (Consistent higher value than 4-8 millisecond is not good) Average Disk sec/Write (Consistent higher value than 4-8 millisecond is not good) Average Disk Read/Write Queue Length (Consistent higher value than benchmark is not good) Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Types, SQL White Papers, T SQL, Technology

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• My Take on Hadoop World 2011

  - by Jean-Pierre Dijcks

  I’m sure some of you have read pieces about Hadoop World and I did see some headlines which were somewhat, shall we say, interesting? I thought the keynote by Larry Feinsmith of JP Morgan Chase & Co was one of the highlights of the conference for me. The reason was very simple, he addressed some real use cases outside of internet and ad platforms. The following are my notes, since the keynote was recorded I presume you can go and look at Hadoopworld.com at some point… On the use cases that were mentioned: ETL – how can I do complex data transformation at scale Doing Basel III liquidity analysis Private banking – transaction filtering to feed [relational] data marts Common Data Platform – a place to keep data that is (or will be) valuable some day, to someone, somewhere 360 Degree view of customers – become pro-active and look at events across lines of business. For example make sure the mortgage folks know about direct deposits being stopped into an account and ensure the bank is pro-active to service the customer Treasury and Security – Global Payment Hub [I think this is really consolidation of data to cross reference activity across business and geographies] Data Mining Bypass data engineering [I interpret this as running a lot of a large data set rather than on samples] Fraud prevention – work on event triggers, say a number of failed log-ins to the website. When they occur grab web logs, firewall logs and rules and start to figure out who is trying to log in. Is this me, who forget his password, or is it someone in some other country trying to guess passwords Trade quality analysis – do a batch analysis or all trades done and run them through an analysis or comparison pipeline One of the key requests – if you can say it like that – was for vendors and entrepreneurs to make sure that new tools work with existing tools. JPMC has a large footprint of BI Tools and Big Data reporting and tools should work with those tools, rather than be separate. Security and Entitlement – how to protect data within a large cluster from unwanted snooping was another topic that came up. I thought his Elephant ears graph was interesting (couldn’t actually read the points on it, but the concept certainly made some sense) and it was interesting – when asked to show hands – how the audience did not (!) think that RDBMS and Hadoop technology would overlap completely within a few years. Another interesting session was the session from Disney discussing how Disney is building a DaaS (Data as a Service) platform and how Hadoop processing capabilities are mixed with Database technologies. I thought this one of the best sessions I have seen in a long time. It discussed real use case, where problems existed, how they were solved and how Disney planned some of it. The planning focused on three things/phases: Determine the Strategy – Design a platform and evangelize this within the organization Focus on the people – Hire key people, grow and train the staff (and do not overload what you have with new things on top of their day-to-day job), leverage a partner with experience Work on Execution of the strategy – Implement the platform Hadoop next to the other technologies and work toward the DaaS platform This kind of fitted with some of the Linked-In comments, best summarized in “Think Platform – Think Hadoop”. In other words [my interpretation], step back and engineer a platform (like DaaS in the Disney example), then layer the rest of the solutions on top of this platform. One general observation, I got the impression that we have knowledge gaps left and right. On the one hand are people looking for more information and details on the Hadoop tools and languages. On the other I got the impression that the capabilities of today’s relational databases are underestimated. Mostly in terms of data volumes and parallel processing capabilities or things like commodity hardware scale-out models. All in all I liked this conference, it was great to chat with a wide range of people on Oracle big data, on big data, on use cases and all sorts of other stuff. Just hope they get a set of bigger rooms next time… and yes, I hope I’m going to be back next year!

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• ArchBeat Top 10 for December 2-8, 2012

  - by Bob Rhubart

  The Top 10 most-clicked items shared on the OTN ArchBeat Facebook page for the week of December 2-8, 2012 Configure Oracle SOA JMSAdatper to Work with WLS JMS Topics Another of the four posts published on Dec 4 by the Fusion Middleware A-Team blogger identified as "fip" illlustrates "how to configure the JMS Topic, the JmsAdapter connection factory, as well as the composite so that the JMS Topic messages will be evenly distributed to same composite running off different SOA cluster nodes without causing duplication." Web Service Example - Part 3: Asynchronous Part 3 in this series from the Oracle ADF Mobile blog looks at "firing the web service asynchronously and then filling in the UI when it completes." Denis says, "This can be useful when you have data on the device in a local store and want to show that to the user while the application uses lazy loading from a web service to load more data." Advanced Oracle SOA Suite Oracle Open World 2012 SOA Presentations Oracle SOA & BPM Partner Community blogger Juergen Kress shares a list of 13 SOA presentations delivered or moderated by Oracle SOA Product Management at OOW12 in San Francisco. Oracle WebLogic Server WLS Domain Browser My colleague Jeff Davies, a frequent speaker at OTN Architect Day events and a genuinely nice guy, emailed me last night with this message: "I just came across this app on Google Play. It allows WebLogic administrators to browse WLS 12c domain information. I installed it on my phone and tried it out. Works very fast." I'm an iPhone guy, but I'm perfectly comfortable taking Jeff at his word. The app is called WLS Domain Browser. Follow the link for more info from the Google Play site. Retrieve Performance Data from SOA Infrastructure Database Another of the four blog posts published on Dec 4 by very busy Oracle Fusion Middleware A-Team member "fip," this one offers "examples of some basic SQL queries you can run against the infrastructure database of Oracle SOA Suite 11G to acquire the performance statistics for a given period of time." How to Achieve OC4J RMI Load Balancing "Having returned from a customer who faced challenges with OC4J RMI load balancing, I felt there is still some confusion in the field [about] how OC4J RMI load balancing works," says the Oracle Fusion Middleware A-Team member known only as "fip." "Hence I decide to dust off an old tech note that I wrote a few years back and share it with the general public." From XaaS to Java EE – Which damn cloud is right for me in 2012? Oracle ACE Director Markus Eisele wrestles with a timely technical issue and shares his observations on several of the alternatives. Exalogic 2.0.1 Tea Break Snippets - Creating a ModifyJeOS VirtualBox "One of the main advantages of this is that Templates can be created away from the Exalogic Environment," explains The Old Toxophilist. (BTW: I had to look it up: a toxophilist is one who collects bows and arrows.) ADF Mobile - Implementing Reusable Mobile Architecture "Reusability was always a strong part of ADF," says Oracle ACE Director Andrejus Baranovskis. "The same high reusability level is supported now in ADF Mobile." The objective of this post is "to prove technically that [the] reusable architecture concept works for ADF Mobile." Using BPEL Performance Statistics to Diagnose Performance Bottlenecks Someone had a busy day… This post, one of four published on DeC 4 by a member of the Oracle Fusion Middleware A-Team identified only as "fip," offers details on how to "enable, retrieve and interpret the performance statistics, before the future versions provides a more pleasant user experience." Thought for the Day "If you're afraid to change something it is clearly poorly designed." — Martin Fowler Source: SoftwareQuotes.com

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• Archbeat Link-O-Rama Top 10 Facebook Faves for October 20-26, 2013

  - by OTN ArchBeat

  Here's this week's list of the Top 10 items shared on the OTN ArchBeat Facebook Page from October 27 - November 2, 2013. Visualizing and Process (Twitter) Events in Real Time with Oracle Coherence | Noah Arliss This OTN Virtual Developer Day session explores in detail how to create a dynamic HTML5 Web application that interacts with Oracle Coherence as it’s processing events in real time, using the Avatar project and Oracle Coherence’s Live Events feature. Part of OTN Virtual Developer Day: Harnessing the Power of Oracle WebLogic and Oracle Coherence, November 5, 2013. 9am to 1pm PT / 12pm to 4pm ET / 1pm to 5pm BRT. Register now! HTML5 Application Development with Oracle WebLogic Server | Doug Clarke This free OTN Virtual Developer Day session covers the support for WebSockets, RESTful data services, and JSON infrastructure available in Oracle WebLogic Server. Part of OTN Virtual Developer Day: Harnessing the Power of Oracle WebLogic and Oracle Coherence, November 5, 2013. 9am to 1pm PT / 12pm to 4pm ET / 1pm to 5pm BRT. Register now! Video: ADF BC and REST services | Frederic Desbiens Spend a few minutes with Oracle ADF principal product manager Frederic Desbiens and learn how to publish ADF Business Components as RESTful web services. One Client Two Clusters | David Felcey "Sometimes its desirable to have a client connect to multiple clusters, either because the data is dispersed or for instance the clusters are in different locations for high availability," says David Felcey. David shows you how in this post, which includes a simple example. Exceptions Handling and Notifications in ODI | Christophe Dupupet Oracle Fusion Middleware A-Team director Christophe Dupupet reviews the techniques that are available in Oracle Data Integrator to guarantee that the appropriate individuals are notified in the event that ODI processes are impacted by network outages or other mishaps. Securing WebSocket applications on Glassfish | Pavel Bucek WebSocket is a key capability standardized into Java EE 7. Many developers wonder how WebSockets can be secured. One very nice characteristic for WebSocket is that it in fact completely piggybacks on HTTP. In this post Pavel Bucek demonstrates how to secure WebSocket endpoints in GlassFish using TLS/SSL. Oracle Coherence, Split-Brain and Recovery Protocols In Detail | Ricardo Ferreira Ricardo Ferreira's article "provides a high level conceptual overview of Split-Brain scenarios in distributed systems," focusing on a "specific example of cluster communication failure and recovery in Oracle Coherence." Non-programmatic Authentication Using Login Form in JSF (For WebCenter & ADF) | JayJay Zheng Oracle ACE JayJay Zheng shares an approach that "avoids the programmatic authentication and works great for having a custom login page developed in WebCenter Portal integrated with OAM authentication." The latest article in the Industrial SOA series looks at mobile computing and how companies are developing SOA to go. http://pub.vitrue.com/PUxT Tech Article: SOA in Real Life: Mobile Solutions The ACE Director Thing | Dr. Frank Munz Frank Munz finally gets around to blogging about achieving Oracle ACE Director status and shares some interesting insight into what will change—and what won't—thanks to that new status. A good, short read for those interested in learning more about the Oracle ACE program. Thought for the Day "Even if you're on the right track, you'll get run over if you just sit there." — Will Rogers, American humorist (November 4, 1879 – August 15, 1935) Source: brainyquote.com

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• MySql Connector/NET 6.7.4 GA has been released

  - by fernando

  MySQL Connector/Net 6.7.4, a new version of the all-managed .NET driver for MySQL has been released.  This is the GA, is feature complete. It is recommended for production environments.  It is appropriate for use with MySQL server versions 5.0-5.7.  It is now available in source and binary form from http://dev.mysql.com/downloads/connector/net/#downloads and mirror sites (note that not all mirror sites may be up to date at this point-if you can't find this version on some mirror, please try again later or choose another download site.) The 6.7 version of MySQL Connector/Net brings the following new features: -  WinRT Connector. -  Load Balancing support. -  Entity Framework 5.0 support. -  Memcached support for Innodb Memcached plugin. -  This version also splits the product in two: from now on, starting version 6.7, Connector/NET will include only the former Connector/NET ADO.NET driver, Entity Framework and ASP.NET providers (Core libraries of MySql.Data, MySql.Data.Entity & MySql.Web). While all the former product Visual Studio integration (Design support, Intellisense, Debugger) are available as part of MySql Windows Installer under the name "MySql for Visual Studio".  WinRT Connector  ------------------------------------------- Now you can write MySql data access apps in Windows Runtime (aka Store Apps) using the familiar API of Connector/NET for .NET.  Load Balancing Support  -------------------------------------------  Now you can setup a Replication or Cluster configuration in the backend, and Connector/NET will balance the load of queries among all servers making up the backend topology.  Entity Framework 5.0  -------------------------------------------  Connector/NET is now compatible with EF 5, including special features of EF 5 like spatial types.  Memcached  -------------------------------------------  Just setup Innodb memcached plugin and use Connector/NET new APIs to establish a client to MySql 5.6 server's memcached daemon.  Bug fixes included in this release: - Fix for Entity Framework when inserts data having Identity columns (Oracle bug #16494585). - Fix for Connector/NET cannot read data from a MySql table using UTF-16/UTF-32 (MySql bug #69169, Oracle bug #16776818). - Fix for Malformed query in Entity Framework when eager loading due to multiple projections (MySql bug #67183, Oracle bug #16872852). - Fix for database objects with 'dbo' prefix when using automatic migrations in Entity Framework 5.0 (Oracle bug #16909439). - Fix for bug IIS application pool reset worker process causes website to crash (Oracle bug #16909237, Mysql Bug #67665). - Fix for bug Error in LINQ to Entities query when using Distinct().Count() (MySql Bug #68513, Oracle bug #16950146). - Fix for occasionally return no data when socket connection is slow, interrupted or delayed (MySql bug #69039, Oracle bug #16950212). - Fix for ConstraintException when filling a datatable (MySql bug #65065, Oracle bug #16952323). - Fix for Data Provider is not found after uninstalling Mysql for visual studio (Oracle bug #16973456). - Fix for nested sql generated for LINQ to Entities query with Take and Order by (MySql bug #65723, Oracle bug #16973939). The documentation is available at http://dev.mysql.com/doc/refman/5.7/en/connector-net.html  Enjoy and thanks for the support!  --  Fernando Gonzalez Sanchez | Software Engineer |  Oracle MySQL Windows Experience Team, Connector/NET  Guadalajara | Jalisco | Mexico 

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• Cutting Subscriber Churn with Media Intelligence

  - by Oracle M&E

  There's lots of talk in media and entertainment companies about using "big data".  But it's often hard to see through the hype and understand how big data brings benefits in the real world.  How about being able to predict with 92% accuracy which subscribers intend to cancel their subscription - and put in place a renewal strategy to dramatically reduce that churn?  That's what Belgian media company De Persgroep has achieved with Oracle's Media Intelligence solution.  "One of the areas in which we're able to achieve beautiful results using big data is the churn prediction," De Persgroep's CIO Luc Verbist explains in a new Oracle video.  "Based on all the data that we collect on websites and all your behavior, payment behavior and so on, we're able to make a prediction model, which, with an accuracy of 92 percent, is able to predict that you probably won't renew your newspaper, anymore. So our approach to renewal is completely different to the people in that segment than towards the other people. And this has brought us a lot of value and a lot of customers who didn't stop their newspaper where else they would have done so." De Persgroep is using Oracle's Big Data Appliance, along with software from Oracle partner NGDATA to build up a detailed "DNA profile" of each individual customer, based on every interaction, in real time.  This means that any change in behavior - a drop in content consumption, a late subscription payment, a negative social media comment - is captured.  Applying advanced data modeling techniques automatically converts those raw interactions into data with real business meaning - like that customer's risk of churning. The very same data profile - comprising hundreds if individual dimensions - can simultaneously drive targeted marketing campaigns - informing audience about new content that's most relevant and encouraging them to subscribe.  It can power content recommendations and personalization right in the content sites and apps. And it can link directly into digital advertising networks via platforms like Oracle's BlueKai data management platform (DMP), to drive increased advertising CPMs. Using Oracle's Media Intelligence solution enables this across De Persgroep's business - comprising eight newspapers and 25 magazines published in Belgium and The Netherlands, and digital properties including websites with 6m daily unique visitors, along with TV and radio stations. "The company strategy is in fact a customer-centric strategy, so we want to get a 360-view about our customers, about our prospects. And the big data project helped us to achieve that goal," says Verbist. Using Oracle's Big Data Appliance to underpin the solution created huge savings.   "The selection of the Big Data Appliance was quite easy.  It was very quick to install, very easy to install, as well. And it was far cheaper than building our own Hadoop cluster. So it was in fact a non-brainer," Verbist explains. Applying Media Intelligence approach has yielded incredible results for De Persgroep, including: Improved products - with a new understanding of how readers are consuming print and digital content across the day Improved customer segmentation - driving a 6X improvement in customer prospecting and acquisition when contacting a specific segment Having the project up and running in three months And that has led to competitive benefits for De Persgroep, as Luc Verbist explains: "one of the results we saw since we started using big data is that we're able to increase the gap between we as the market leader, and the second [by] more than 20 percent."

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• Certify October Updates

  - by Sadia2

  Normal 0 false false false EN-US X-NONE X-NONE We have added some release and platform certifications to MOS Certify. Applications: Oracle Demantra 12.2.2 Collaboration Technologies: Oracle On Track Communication 1.0.0.0.0 Database : Oracle Database 11.2.0.4.0, Oracle Database Client 11.2.0.4.0, 11.2.0.3.0, Oracle Clusterware 12.1.0.1.0, 11.2.0.4.0, Oracle Real Application Clusters 12.1.0.1.0, 11.2.0.4.0, Oracle TimesTen In-Memory Database 11.2.2.5.0, Oracle Audit Vault and Database Firewall 12.1.1.0.0, Oracle Database Client 10.2.0.5, Oracle Secure Enterprise Search 11.2.2.2.0 E-Business Suite: Oracle E-Business Suite 12.2.2, 12.1.3, 12.1.2, 12.1.1, 12.0.4, 11.5.10.2, 11.5.9.2 Edge Applications: Oracle Transportation Management 6.3.2 Enterprise Manager: Enterprise Manager Base Platform – OMS 12.1.0.3.0 FSGBU Insurance Group: Oracle Health Insurance Back Office 10.13.2.0.0 Fusion Middleware: Oracle Application Development Framework 11.1.1.6.0, Oracle Business Intelligence Enterprise Edition 11.1.1.7.0, Oracle BI Answers 11.1.1.7.0, Oracle BI Composer 11.1.1.7.0, Oracle BI Presentation Services 11.1.1.7.0, Oracle BI Delivers 11.1.1.7.0, Oracle BI Interactive Dashboards 11.1.1.7.0, Oracle BI Scorecard and Strategy Management 11.1.1.7.0, Oracle BI Catalog Manager 11.1.1.7.0, Oracle BI Search 11.1.1.7.0, Oracle BIP Enterprise 11.1.1.7.0, Oracle BIP Scheduler 11.1.1.7.0, Oracle Real-Time Decision Center 11.1.1.7.0, Oracle Segmentation Server 11.1.1.7.0, Oracle JRE 1.7.0_45, 1.7.0_40, 1.7.0_25, 1.7.0_21, 1.7.0_17, 1.7.0_15, 1.7.0_13, 1.7.0_11, 1.7.0_10, 1.6.0_65, 1.6.0_26, Oracle JDK 1.7.0_45, 1.7.0_25, 1.7.0_17, 1.7.0_15, 1.7.0_13, 1.7.0_11, 1.6.0_65, 1.6.0_41, 1.6.0_26, Oracle Discoverer 11.1.1.7.0, 11.1.1.6.0, Discoverer Administrator 11.1.1.7.0, 11.1.1.6.0, Discoverer Desktop 11.1.1.7.0, 11.1.1.6.0, Oracle GoldenGate 12.1.2.0.0, Oracle GoldenGate Director 12.1.2.0.0, Java 1.7.0_10, Oracle Fusion Middleware 12.1.2.0.0, Oracle Data Integrator Agent 12.1.2.0.0, Oracle Data Integrator Studio 12.1.2.0.0, Oracle Data Integrator Console 12.1.2.0.0 JD Edwards EnterpriseOne: JD Edwards EnterpriseOne Enterprise Server 9.1.3.0, JD Edwards EnterpriseOne One View Reporting 9.1.3.0, JD Edwards EnterpriseOne Mobile Applications 9.0.2.0, 9.0.0.0, 9.1.2.0, JD Edwards EnterpriseOne for iPad 1.0.0.0 Linux & Server Virtualization (x86): Oracle VM Server for x86 3.2.6.0.0, 3.2.4.0.0, 3.2.3.0.0, 3.2.2.0.0, 3.2.1.0.0 MySQL: MySQL Database Server 5.6, 5.5, MySQL Cluster 7.3, 7.2, 7.1 Oracle Fusion Applications : Oracle Fusion Applications 11.1.7.0.0, 11.1.6.0.0, 11.1.5.0.0, 11.1.4.0.0 PeopleSoft: PeopleSoft PeopleTools 8.53, 8.52, 8.51, 8.5 Primavera GBU: Primavera Project Portfolio Mgmt 6.2.1, Primavera P6 Enterprise Project Portfolio Management 8.3.0.0.0 Siebel Enterprise: Siebel Application Server 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Database Server 8.2.2.4.0, 8.1.1.11.0 Siebel Web Server Extension 8.1.1.10.0 /* 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-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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• Cientos de Directores Financieros se congregaron en el evento “Innovación y Excelencia en la Función Financiera”

  - by Noelia Gomez

  v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} El pasado 24 de Octubre tuvo lugar el evento “Innovación y Excelencia en la Función Financiera” en la Fundación Rafael de Pino, Madrid (que ya anunciamos aquí). APD, en colaboración con Oracle, organizaron esta jornada con el objetivo de analizar el proceso de transformación del Director Financiero en las compañías (aquí puedes ver un estudio sobre ello). Enrique Sanchez de Leon, Director de APD, fue el encargado de abrir la jornada con una calurosa bienvenida a los invitados. Tras él, Fernando Rumbero, Iberia Applications Cluster Leader de Oracle , comenzó dando unas pinceladas sobre los cambios a los que los Directores Financieros deben estar preparados para convertirse en parte de la estrategia de la compañía. Después de que todos los ponentes fueran presentados y se acomodaran en su lugar del escenario de aquella gran sala, Oriol Farré, Presales Director de Oracle, tomó la palabra para profundizar sobre el nuevo rol estratégico del Director Financiero y cómo éste se está convirtiendo cada vez más en el catalizador del cambio dentro de las empresas (¿tú lo eres? aquí hablamos de cómo puedes evaluarlo) Por su parte, Maria Jesús Carrato, Profesora de Dirección Financiera Internacional en el IE y Directora Financiera del Grupo SM mostró su visión sobre cómo serán los Departamentos Financieros del futuro. Después llego el turno de Ramón Arguelaguet, Financial Controller & Reporting Senior Manager de Vodafone, que profundizo en la innovación y la transformación lideradas por los Directores Financieros dentro de las organizaciones. Por último, pero no menos importante, Juan Jesús Donoso, Director Económico de Cruz Roja Española, nos mostro el punto de vista de la gestión de una organización sin ánimo de lucro. Finalmente, en la mesa redonda, cada uno de los integrantes dio su punto de vista sobre el nuevo rol de Director Financiero y los nuevos retos a los que se enfrentan. El broche final de la jornada la puso el coctel para abrir paso a un espacio de networking que sin duda los cientos de Directores Financieros aprovecharon para intercambiar puntos de vista, conocer a nuevos compañeros y reencontrarse con muchos otros. Si estuviste en el evento… ¿qué te pareció? Tal vez no encontraste el momento de plantear alguna cuestión. Ahora puedes hacerlo en los comentarios y se lo trasladaremos a los ponentes. Contact 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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:10.0pt; font-family:"Calibri","sans-serif";}

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• Oracle MAA Part 1: When One Size Does Not Fit All

  - by JoeMeeks

  The good news is that Oracle Maximum Availability Architecture (MAA) best practices combined with Oracle Database 12c (see video) introduce first-in-the-industry database capabilities that truly make unplanned outages and planned maintenance transparent to users. The trouble with such good news is that Oracle’s enthusiasm in evangelizing its latest innovations may leave some to wonder if we’ve lost sight of the fact that not all database applications are created equal. Afterall, many databases don’t have the business requirements for high availability and data protection that require all of Oracle’s ‘stuff’. For many real world applications, a controlled amount of downtime and/or data loss is OK if it saves money and effort. Well, not to worry. Oracle knows that enterprises need solutions that address the full continuum of requirements for data protection and availability. Oracle MAA accomplishes this by defining four HA service level tiers: BRONZE, SILVER, GOLD and PLATINUM. The figure below shows the progression in service levels provided by each tier. Each tier uses a different MAA reference architecture to deploy the optimal set of Oracle HA capabilities that reliably achieve a given service level (SLA) at the lowest cost.  Each tier includes all of the capabilities of the previous tier and builds upon the architecture to handle an expanded fault domain. Bronze is appropriate for databases where simple restart or restore from backup is ‘HA enough’. Bronze is based upon a single instance Oracle Database with MAA best practices that use the many capabilities for data protection and HA included with every Oracle Enterprise Edition license. Oracle-optimized backups using Oracle Recovery Manager (RMAN) provide data protection and are used to restore availability should an outage prevent the database from being able to restart. Silver provides an additional level of HA for databases that require minimal or zero downtime in the event of database instance or server failure as well as many types of planned maintenance. Silver adds clustering technology - either Oracle RAC or RAC One Node. RMAN provides database-optimized backups to protect data and restore availability should an outage prevent the cluster from being able to restart. Gold raises the game substantially for business critical applications that can’t accept vulnerability to single points-of-failure. Gold adds database-aware replication technologies, Active Data Guard and Oracle GoldenGate, which synchronize one or more replicas of the production database to provide real time data protection and availability. Database-aware replication greatly increases HA and data protection beyond what is possible with storage replication technologies. It also reduces cost while improving return on investment by actively utilizing all replicas at all times. Platinum introduces all of the sexy new Oracle Database 12c capabilities that Oracle staff will gush over with great enthusiasm. These capabilities include Application Continuity for reliable replay of in-flight transactions that masks outages from users; Active Data Guard Far Sync for zero data loss protection at any distance; new Oracle GoldenGate enhancements for zero downtime upgrades and migrations; and Global Data Services for automated service management and workload balancing in replicated database environments. Each of these technologies requires additional effort to implement. But they deliver substantial value for your most critical applications where downtime and data loss are not an option. The MAA reference architectures are inherently designed to address conflicting realities. On one hand, not every application has the same objectives for availability and data protection – the Not One Size Fits All title of this blog post. On the other hand, standard infrastructure is an operational requirement and a business necessity in order to reduce complexity and cost. MAA reference architectures address both realities by providing a standard infrastructure optimized for Oracle Database that enables you to dial-in the level of HA appropriate for different service level requirements. This makes it simple to move a database from one HA tier to the next should business requirements change, or from one hardware platform to another – whether it’s your favorite non-Oracle vendor or an Oracle Engineered System. Please stay tuned for additional blog posts in this series that dive into the details of each MAA reference architecture. Meanwhile, more information on Oracle HA solutions and the Maximum Availability Architecture can be found at: Oracle Maximum Availability Architecture - Webcast Maximize Availability with Oracle Database 12c - Technical White Paper

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• Using Solaris zfs + iscsi targets with Oracle VM

  - by wim.coekaerts

  I was playing with my Oracle VM setup and needed some shared storage that was block based. I did not have a storage array available but I did have a solaris box, that I use for Oracle VDI, available. I set up a few iscsi targets on this solaris server and exported them to my 2 Oracle VM servers. Here's how I did this : (1) On the solaris side : # zpool list NAME SIZE USED AVAIL CAP HEALTH ALTROOT rpool 544G 129G 415G 23% ONLINE - I just have a simple zpool, called rpool, on this box. It has plenty of space available for my needs. So I will use rpool and I will create 5 50gb vols : zfs create -V 50G rpool/ovm1 zfs create -V 50G rpool/ovm2 zfs create -V 50G rpool/ovm3 zfs create -V 50G rpool/ovm4 zfs create -V 50G rpool/ovm5 I want to use these volumes for iscsi so I have to enable them as shared iscsi devices : zfs set shareiscsi=on rpool/ovm1 zfs set shareiscsi=on rpool/ovm2 zfs set shareiscsi=on rpool/ovm3 zfs set shareiscsi=on rpool/ovm4 zfs set shareiscsi=on rpool/ovm5 The command iscsitadm list target should list these devices so make sure they show up. # iscsitadm list target Target: rpool/ovm1 iSCSI Name: iqn.1986-03.com.sun:02:896c766c-0943-4da5-d47e-9575b5a0be36 Connections: 2 Target: rpool/ovm2 iSCSI Name: iqn.1986-03.com.sun:02:a3116b46-73e0-e8c2-e80c-9a4f71aff069 Connections: 2 Target: rpool/ovm3 iSCSI Name: iqn.1986-03.com.sun:02:a838c400-2730-c0d6-f2c2-ee186a0261c1 Connections: 2 Target: rpool/ovm4 iSCSI Name: iqn.1986-03.com.sun:02:2e046afb-d66d-4f3f-c5de-8115e0ddd931 Connections: 2 Target: rpool/ovm5 iSCSI Name: iqn.1986-03.com.sun:02:66109fbe-81ac-ef05-f85e-ab8c1f34cb43 Connections: 2 At this point I want to make sure that I have some access control on these devices. To make it easier, I will create an alias for my 2 servers and use the alias for the ACL. get the iqn from the 2 servers on my 2 ovm servers (wcoekaer-srv1, wcoekaer-srv2) get the content of /etc/iscsi/initiatorname.iscsi (for each server) InitiatorName=iqn.1986-03.com.sun:01:2a7526f0ffff On the solaris side create the aliases : iscsitadm create initiator -n iqn.1986-03.com.sun:01:2a7526f0ffff wcoekaer-srv1 iscsitadm create initiator -n iqn.1986-03.com.sun:01:e31b08110f1 wcoekaer-srv5 Add the ACL to the targets : iscsitadm modify target -l wcoekaer-srv1 rpool/ovm1 iscsitadm modify target -l wcoekaer-srv1 rpool/ovm2 iscsitadm modify target -l wcoekaer-srv1 rpool/ovm3 iscsitadm modify target -l wcoekaer-srv1 rpool/ovm4 iscsitadm modify target -l wcoekaer-srv1 rpool/ovm5 iscsitadm modify target -l wcoekaer-srv5 rpool/ovm1 iscsitadm modify target -l wcoekaer-srv5 rpool/ovm2 iscsitadm modify target -l wcoekaer-srv5 rpool/ovm3 iscsitadm modify target -l wcoekaer-srv5 rpool/ovm4 iscsitadm modify target -l wcoekaer-srv5 rpool/ovm5 (2) the Oracle VM side On each server just do 2 simple things : # iscsiadm -m discovery -t sendtargets -p ca-vdi1 where ca-vdi1 is my solaris server name # service iscsi restart When I do cat /proc/partitions on my servers I will see the devices show up # cat /proc/partitions major minor #blocks name 8 0 160836480 sda 8 1 104391 sda1 8 2 3148740 sda2 8 3 1052257 sda3 253 0 6377804 dm-0 253 1 6377804 dm-1 253 2 6377804 dm-2 8 16 52428800 sdb 8 32 52428800 sdc 8 48 52428800 sdd 8 80 52428800 sdf 8 64 52428800 sde These 5 new devices sd[b..f] are shared storage for Oracle VM and can be used to pass through to the VM's as phy: devices or put ocfs2 on it and use as shared filesystem storage for dom0 repositories. I am setting up an 11gR2 rac template (the cool stuff Saar did) so I am using my devices to create a 2 node RAC cluster with phy: devices.

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• Is the Leptonica implementation of 'Modified Median Cut' not using the median at all?

  - by TheCodeJunkie

  I'm playing around a bit with image processing and decided to read up on how color quantization worked and after a bit of reading I found the Modified Median Cut Quantization algorithm. I've been reading the code of the C implementation in Leptonica library and came across something I thought was a bit odd. Now I want to stress that I am far from an expert in this area, not am I a math-head, so I am predicting that this all comes down to me not understanding all of it and not that the implementation of the algorithm is wrong at all. The algorithm states that the vbox should be split along the lagest axis and that it should be split using the following logic The largest axis is divided by locating the bin with the median pixel (by population), selecting the longer side, and dividing in the center of that side. We could have simply put the bin with the median pixel in the shorter side, but in the early stages of subdivision, this tends to put low density clusters (that are not considered in the subdivision) in the same vbox as part of a high density cluster that will outvote it in median vbox color, even with future median-based subdivisions. The algorithm used here is particularly important in early subdivisions, and 3is useful for giving visible but low population color clusters their own vbox. This has little effect on the subdivision of high density clusters, which ultimately will have roughly equal population in their vboxes. For the sake of the argument, let's assume that we have a vbox that we are in the process of splitting and that the red axis is the largest. In the Leptonica algorithm, on line 01297, the code appears to do the following Iterate over all the possible green and blue variations of the red color For each iteration it adds to the total number of pixels (population) it's found along the red axis For each red color it sum up the population of the current red and the previous ones, thus storing an accumulated value, for each red note: when I say 'red' I mean each point along the axis that is covered by the iteration, the actual color may not be red but contains a certain amount of red So for the sake of illustration, assume we have 9 "bins" along the red axis and that they have the following populations 4 8 20 16 1 9 12 8 8 After the iteration of all red bins, the partialsum array will contain the following count for the bins mentioned above 4 12 32 48 49 58 70 78 86 And total would have a value of 86 Once that's done it's time to perform the actual median cut and for the red axis this is performed on line 01346 It iterates over bins and check they accumulated sum. And here's the part that throws me of from the description of the algorithm. It looks for the first bin that has a value that is greater than total/2 Wouldn't total/2 mean that it is looking for a bin that has a value that is greater than the average value and not the median ? The median for the above bins would be 49 The use of 43 or 49 could potentially have a huge impact on how the boxes are split, even though the algorithm then proceeds by moving to the center of the larger side of where the matched value was.. Another thing that puzzles me a bit is that the paper specified that the bin with the median value should be located, but does not mention how to proceed if there are an even number of bins.. the median would be the result of (a+b)/2 and it's not guaranteed that any of the bins contains that population count. So this is what makes me thing that there are some approximations going on that are negligible because of how the split actually takes part at the center of the larger side of the selected bin. Sorry if it got a bit long winded, but I wanted to be as thoroughas I could because it's been driving me nuts for a couple of days now ;)

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• Webcast On-Demand: Building Java EE Apps That Scale

  - by jeckels

  With some awesome work by one of our architects, Randy Stafford, we recently completed a webcast on scaling Java EE apps efficiently. Did you miss it? No problem. We have a replay available on-demand for you. Just hit the '+' sign drop-down for access.Topics include: Domain object caching Service response caching Session state caching JSR-107 HotCache and more! Further, we had several interesting questions asked by our audience, and we thought we'd share a sampling of those here for you - just in case you had the same queries yourself. Enjoy! What is the largest Coherence deployment out there? We have seen deployments with over 500 JVMs in the Coherence cluster, and deployments with over 1000 JVMs using the Coherence jar file, in one system. On the management side there is an ecosystem of monitoring tools from Oracle and third parties with dashboards graphing values from Coherence's JMX instrumentation. For lifecycle management we have seen a lot of custom scripting over the years, but we've also integrated closely with WebLogic to leverage its management ecosystem for deploying Coherence-based applications and managing process life cycles. That integration introduces a new Java EE archive type, the Grid Archive or GAR, which embeds in an EAR and can be seen by a WAR in WebLogic. That integration also doesn't require any extra WebLogic licensing if Coherence is licensed. How is Coherence different from a NoSQL Database like MongoDB? Coherence can be considered a NoSQL technology. It pre-dates the NoSQL movement, having been first released in 2001 whereas the term "NoSQL" was coined in 2009. Coherence has a key-value data model primarily but can also be used for document data models. Coherence manages data in memory currently, though disk persistence is in a future release currently in beta testing. Where the data is managed yields a few differences from the most well-known NoSQL products: access latency is faster with Coherence, though well-known NoSQL databases can manage more data. Coherence also has features that well-known NoSQL database lack, such as grid computing, eventing, and data source integration. Finally Coherence has had 15 years of maturation and hardening from usage in mission-critical systems across a variety of industries, particularly financial services. Can I use Coherence for local caching? Yes, you get additional features beyond just a java.util.Map: you get expiration capabilities, size-limitation capabilities, eventing capabilites, etc. Are there APIs available for GoldenGate HotCache? It's mostly a black box. You configure it, and it just puts objects into your caches. However you can treat it as a glass box, and use Coherence event interceptors to enhance its behavior - and there are use cases for that. Are Coherence caches updated transactionally? Coherence provides several mechanisms for concurrency control. If a project insists on full-blown JTA / XA distributed transactions, Coherence caches can participate as resources. But nobody does that because it's a performance and scalability anti-pattern. At finer granularity, Coherence guarantees strict ordering of all operations (reads and writes) against a single cache key if the operations are done using Coherence's "EntryProcessor" feature. And Coherence has a unique feature called "partition-level transactions" which guarantees atomic writes of multiple cache entries (even in different caches) without requiring JTA / XA distributed transaction semantics.

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