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  • Setting up ehcache replication - what multicast settings do I need?

    - by Darren Greaves
    I am trying to set up ehcache replication as documented here: http://ehcache.sourceforge.net/EhcacheUserGuide.html#id.s22.2 This is on a Windows machine but will ultimately run on Solaris in production. The instructions say to set up a provider as follows: <cacheManagerPeerProviderFactory class="net.sf.ehcache.distribution.RMICacheManagerPeerProviderFactory" properties="peerDiscovery=automatic, multicastGroupAddress=230.0.0.1, multicastGroupPort=4446, timeToLive=32"/> And a listener like this: <cacheManagerPeerListenerFactory class="net.sf.ehcache.distribution.RMICacheManagerPeerListenerFactory" properties="hostName=localhost, port=40001, socketTimeoutMillis=2000"/> My questions are: Are the multicast IP address and port arbitrary (I know the address has to live within a specific range but do they have to be specific numbers)? Do they need to be set up in some way by our system administrator (I am on an office network)? I want to test it locally so am running two separate tomcat instances with the above config. What do I need to change in each one? I know both the listeners can't listen on the same port - but what about the provider? Also, are the listener ports arbitrary too? I've tried setting it up as above but in my testing the caches don't appear to be replicated - the value added in one tomcat's cache is not present in the other cache. Is there anything I can do to debug this situation (other than packet sniffing)? Thanks in advance for any help, been tearing my hair out over this one!

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  • which is best smart automatic file replication solution for cloud storage based systems.

    - by TORr0t
    I am looking for a solution for a project i am working on. We are developing a websystem where people can upload their files and other people can download it. (similar to rapidshare.com model) Problem is, some files can be demanded much more than other files. The scenerio is like: I have uploaded my birthday video and shared it with all of my friend, I have uploaded it to myproject.com and it was stored in one of the cluster which has 100mbit connection. Problem is, once all of my friends want to download the file, they cant download it since the bottleneck here is 100mbit which is 15MB per second, but i got 1000 friends and they can only download 15KB per second. I am not taking into account that the hdd is serving same files. My network infrastrucre is as follows: 1 gbit server(client) and connected to 4 Nodes of storage servers that have 100mbit connection. 1gbit server can handle the 1000 users traffic if one of storage node can stream more than 15MB per second to my 1gbit (client) server and visitor will stream directly from client server instead of storage nodes. I can do it by replicating the file into 2 nodes. But i dont want to replicate all files uploadded to my network since it is costing much more. So i need a cloud based system, which will push the files into replicated nodes automatically when demanded to those files are high, and when the demand is low, they will delete from other nodes and it will stay in only 1 node. I have looked to gluster and asked in their irc channel that, gluster cant do such a thing. It is only able to replicate all the files or none of the files. But i need it the cluster software to do it automatically. Any solutions ? (instead of recommending me amazon s3) S

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  • Hive performance increase

    - by Sagar Nikam
    I am dealing with a database (2.5 GB) having some tables only 40 row to some having 9 million rows data. when I am doing any query for large table it takes more time. I want results in less time small query on table which have 90 rows only-- hive> select count(*) from cidade; Time taken: 50.172 seconds hdfs-site.xml <configuration> <property> <name>dfs.replication</name> <value>3</value> <description>Default block replication. The actual number of replications can be specified when the file is created. The default is used if replication is not specified in create time. </description> </property> <property> <name>dfs.block.size</name> <value>131072</value> <description>Default block replication. The actual number of replications can be specified when the file is created. The default is used if replication is not specified in create time. </description> </property> </configuration> does these setting affects performance of hive? dfs.replication=3 dfs.block.size=131072 can i set it from hive prompt as hive>set dfs.replication=5 Is this value remains for a perticular session only ? or Is it better to change it in .xml file ?

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  • Does DKIM works with subdomains?

    - by Feelsgoodman
    ISP's recommend you segment your marketing and transactional emails by using different IPs. I want to start using DKIM, but since DKIM is a domain based reputation system I wonder if signing with the same company.com domain will impact the reputation of transactional emails, since both them and marketing will be signed with the same domain? Is using DKIM with subdomains possible? Would something like this: bulk.company.com and transactional.company.com be a good idea? Thanks!

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  • Setup database for Unit tests with Spring, Hibernate and Spring Transaction Support

    - by Michael Bulla
    I want to test integration of dao-layer with my service-layer in a unit-test. So I need to setup some data in my database (hsql). For this setup I need an own transaction at the begining of my testcase to ensure that all my setup is really commited to database before starting my testcase. So here's what I want to achieve: // NotTranactional public void doTest { // transaction begins setup database // commit transaction service.doStuff() // doStuff is annotated @Transactional(propagation=Propagation.REQUIRED) } Here is my not working code: @RunWith(SpringJUnit4ClassRunner.class) @ContextConfiguration(locations={"/asynchUnit.xml"}) @DirtiesContext(classMode=ClassMode.AFTER_EACH_TEST_METHOD) public class ReceiptServiceTest implements ApplicationContextAware { @Autowired(required=true) private UserHome userHome; private ApplicationContext context; @Before @Transactional(propagation=Propagation.REQUIRED) public void init() throws Exception { User user = InitialCreator.createUser(); userHome.persist(user); } @Test public void testDoSomething() { ... } } Leading to this exception: org.hibernate.HibernateException: No Hibernate Session bound to thread, and configuration does not allow creation of non-transactional one here at org.springframework.orm.hibernate3.SpringSessionContext.currentSession(SpringSessionContext.java:63) at org.hibernate.impl.SessionFactoryImpl.getCurrentSession(SessionFactoryImpl.java:687) at de.diandan.asynch.modell.GenericHome.getSession(GenericHome.java:40) at de.diandan.asynch.modell.GenericHome.persist(GenericHome.java:53) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.springframework.aop.support.AopUtils.invokeJoinpointUsingReflection(AopUtils.java:318) at org.springframework.aop.framework.JdkDynamicAopProxy.invoke(JdkDynamicAopProxy.java:196) at $Proxy28.persist(Unknown Source) at de.diandan.asynch.service.ReceiptServiceTest.init(ReceiptServiceTest.java:63) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:44) at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15) at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:41) at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:27) at org.springframework.test.context.junit4.statements.RunBeforeTestMethodCallbacks.evaluate(RunBeforeTestMethodCallbacks.java:74) at org.springframework.test.context.junit4.statements.RunAfterTestMethodCallbacks.evaluate(RunAfterTestMethodCallbacks.java:83) at org.springframework.test.context.junit4.statements.SpringRepeat.evaluate(SpringRepeat.java:72) at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.runChild(SpringJUnit4ClassRunner.java:231) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50) at org.junit.runners.ParentRunner$3.run(ParentRunner.java:193) at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:52) at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:191) at org.junit.runners.ParentRunner.access$000(ParentRunner.java:42) at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:184) at org.springframework.test.context.junit4.statements.RunBeforeTestClassCallbacks.evaluate(RunBeforeTestClassCallbacks.java:61) at org.springframework.test.context.junit4.statements.RunAfterTestClassCallbacks.evaluate(RunAfterTestClassCallbacks.java:71) at org.junit.runners.ParentRunner.run(ParentRunner.java:236) at org.springframework.test.context.junit4.SpringJUnit4ClassRunner.run(SpringJUnit4ClassRunner.java:174) at org.eclipse.jdt.internal.junit4.runner.JUnit4TestReference.run(JUnit4TestReference.java:49) at org.eclipse.jdt.internal.junit.runner.TestExecution.run(TestExecution.java:38) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:467) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:683) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.run(RemoteTestRunner.java:390) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.main(RemoteTestRunner.java:197) I dont know whats the right way to get the transaction around setup database. What I tried: @Before @Transactional(propagation=Propagation.REQUIRED) public void setup() { setup database } - Spring seems not to start transaction in @Before-annotated methods. Beyond that, thats not what I really want, cause there are a lot merhods in my testclass which needs a slightly differnt setup, so I need several of that init-methods. @Transactional(propagation=Propagation.REQUIRED) public void setup() { setup database } public void doTest { init(); service.doStuff() // doStuff is annotated @Transactional(propagation=Propagation.REQUIRED) } -- init seems not to get started in transaction What I dont want to do: public void doTest { // doing my own transaction-handling setup database // doing my own transaction-handling service.doStuff() // doStuff is annotated @Transactional(propagation=Propagation.REQUIRED) } -- start mixing springs transaction-handling and my own seems to get pain in the ass. @Transactional(propagation=Propagation.REQUIRED) public void doTest { setup database service.doStuff() } -- I want to test as real as possible situation, so my service should start with a clean session and no transaction opened So whats the right way to setup database for my testcase?

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  • What happens differently when you add a task Asynchronously on GAE?

    - by Ben Grunfeld
    Google's doc on async tasks assumes knowledge of the difference between regular and asynchronously added tasks. add_async(task, transactional=False, rpc=None) Asynchronously add a Task or a list of Tasks to this Queue. How is adding tasks asynchronously different to adding them regularly. I.e. what is the difference between using add(task, transactional=False) and add_async(task, transactional=False, rpc=None) I've heard that adding tasks regularly blocks certain things. Any explanation of what it blocks and how, and how async tasks don't block would be greatly appreciated.

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  • Offline backup synchronization

    - by Pavan Kumar
    There is a Central Server running Windows Server 2003 and SQL Server 2005 and there are 7 client machines situated in various places and has XP Pro & SQL Server 2005 installed in all of them. They are not interconnected so they are physically seperate. One person goes to each of these centers maybe twice a month and takes the backup (Full database consisting of mdf and ldf files) with a pen drive and brings it to the Central server which contains the central database holding same schema as all the other client databases. I need to synchronize each backup database (belonging to different centers) one by one to update the existing data or inserting new data in the central database . The solution i got was Replication. The pendrive is brought to central server consisting of 7 instances of the databases and then the databases is attached to the central server one by one to the same SQL Server where the central database exists. Then my idea was to replicate the backup database one by one i.e using single subscription (Central Database) and multiple publication ( i.e 7 instances of databases in my case) toplogy by performing replication locally (i.e in the same machine). So i tried to develop a UI in C# .Net to programatically run the Transactional Replication with push subscription using RMO Programming (which is incomplete as of now because there is no point in developing when you already know it is not the solution). Transactional Replication can either be set to initialize with a snapshot or without a snapshot. If i go for the first option i.e with a snapshot , the data whatever is present in Central Database is overwritten by the new data . So the data present initially in the central database is lost. If i try to initialize without snapshot , no data (the data already has the updated and new data) will be sent from the backup database to server. The replication will work in a scenario where any incremental changes is done only after you set the replication . So the initial data whatever was present in the backup database when setting up the replication will not be replicated when running the snapshot agent for the first time to synchronize. Only changes in the backup database thereafter will be reflected to the central database .(Remember I am not going to insert new data or make any changes to the backup database after i attach it to the Central Server. ) So this solution is not feasible. I want a solution for synchronizing from one client database to central database present in the same machine using C#.NET. If you can provide me small example maybe with two databases(with same schema) DB1(Client) to DB2(Server) consisting of one or two tables it will be very helpful. The synchronization is not bidirectional.I want to only update existing data or insert new data from DB1 to DB2 (DB2 may contain some data initially). Thanks and Regards Pavan

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  • MySQL December Webinars

    - by Bertrand Matthelié
    We'll be running 3 webinars next week and hope many of you will be able to join us: MySQL Replication: Simplifying Scaling and HA with GTIDs Wednesday, December 12, at 15.00 Central European TimeJoin the MySQL replication developers for a deep dive into the design and implementation of Global Transaction Identifiers (GTIDs) and how they enable users to simplify MySQL scaling and HA. GTIDs are one of the most significant new replication capabilities in MySQL 5.6, making it simple to track and compare replication progress between the master and slave servers. Register Now MySQL 5.6: Building the Next Generation of Web/Cloud/SaaS/Embedded Applications and Services Thursday, December 13, at 9.00 am Pacific Time As the world's most popular web database, MySQL has quickly become the leading cloud database, with most providers offering MySQL-based services. Indeed, built to deliver web-based applications and to scale out, MySQL's architecture and features make the database a great fit to deliver cloud-based applications. In this webinar we will focus on the improvements in MySQL 5.6 performance, scalability, and availability designed to enable DBA and developer agility in building the next generation of web-based applications. Register Now Getting the Best MySQL Performance in Your Products: Part IV, Partitioning Friday, December 14, at 9.00 am Pacific Time We're adding Partitioning to our extremely popular "Getting the Best MySQL Performance in Your Products" webinar series. Partitioning can greatly increase the performance of your queries, especially when doing full table scans over large tables. Partitioning is also an excellent way to manage very large tables. It's one of the best ways to build higher performance into your product's embedded or bundled MySQL, and particularly for hardware-constrained appliances and devices. Register Now We have live Q&A during all webinars so you'll get the opportunity to ask your questions!

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  • Lazy loading of child throwing session error

    - by Thomas Buckley
    I'm the following error when calling purchaseService.updatePurchase(purchase) inside my TagController: SEVERE: Servlet.service() for servlet [PurchaseAPIServer] in context with path [/PurchaseAPIServer] threw exception [Request processing failed; nested exception is org.hibernate.LazyInitializationException: failed to lazily initialize a collection of role: com.app.model.Purchase.tags, no session or session was closed] with root cause org.hibernate.LazyInitializationException: failed to lazily initialize a collection of role: com.app.model.Purchase.tags, no session or session was closed at org.hibernate.collection.AbstractPersistentCollection.throwLazyInitializationException(AbstractPersistentCollection.java:383) at org.hibernate.collection.AbstractPersistentCollection.throwLazyInitializationExceptionIfNotConnected(AbstractPersistentCollection.java:375) at org.hibernate.collection.AbstractPersistentCollection.initialize(AbstractPersistentCollection.java:368) at org.hibernate.collection.PersistentSet.add(PersistentSet.java:212) at com.app.model.Purchase.addTags(Purchase.java:207) at com.app.controller.TagController.createAll(TagController.java:79) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.springframework.web.method.support.InvocableHandlerMethod.invoke(InvocableHandlerMethod.java:212) at org.springframework.web.method.support.InvocableHandlerMethod.invokeForRequest(InvocableHandlerMethod.java:126) at org.springframework.web.servlet.mvc.method.annotation.ServletInvocableHandlerMethod.invokeAndHandle(ServletInvocableHandlerMethod.java:96) at org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter.invokeHandlerMethod(RequestMappingHandlerAdapter.java:617) at org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter.handleInternal(RequestMappingHandlerAdapter.java:578) at org.springframework.web.servlet.mvc.method.AbstractHandlerMethodAdapter.handle(AbstractHandlerMethodAdapter.java:80) at org.springframework.web.servlet.DispatcherServlet.doDispatch(DispatcherServlet.java:900) at org.springframework.web.servlet.DispatcherServlet.doService(DispatcherServlet.java:827) at org.springframework.web.servlet.FrameworkServlet.processRequest(FrameworkServlet.java:882) at org.springframework.web.servlet.FrameworkServlet.doPost(FrameworkServlet.java:789) at javax.servlet.http.HttpServlet.service(HttpServlet.java:641) at javax.servlet.http.HttpServlet.service(HttpServlet.java:722) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:305) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:210) at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:225) at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:169) at org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:472) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:168) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:98) at org.apache.catalina.valves.AccessLogValve.invoke(AccessLogValve.java:927) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:118) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:407) at org.apache.coyote.http11.AbstractHttp11Processor.process(AbstractHttp11Processor.java:999) at org.apache.coyote.AbstractProtocol$AbstractConnectionHandler.process(AbstractProtocol.java:565) at org.apache.tomcat.util.net.JIoEndpoint$SocketProcessor.run(JIoEndpoint.java:309) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908) at java.lang.Thread.run(Thread.java:662) TagController: @RequestMapping(value = "purchases/{purchaseId}/tags", method = RequestMethod.POST, params = "manyTags") @ResponseStatus(HttpStatus.CREATED) public void createAll(@PathVariable("purchaseId") final Long purchaseId, @RequestBody final Tag[] entities) { Purchase purchase = purchaseService.getById(purchaseId); Set<Tag> tags = new HashSet<Tag>(Arrays.asList(entities)); purchase.addTags(tags); purchaseService.updatePurchase(purchase); } Purchase: @Entity @XmlRootElement public class Purchase implements Serializable { /** * */ private static final long serialVersionUID = 6603477834338392140L; @Id @GeneratedValue(strategy = GenerationType.AUTO) private Long id; @OneToMany(mappedBy = "purchase", fetch = FetchType.LAZY, cascade={CascadeType.ALL}) private Set<Tag> tags; @JsonIgnore public Set<Tag> getTags() { if (tags == null) { tags = new LinkedHashSet<Tag>(); } return tags; } public void setTags(Set<Tag> tags) { this.tags = tags; } ... } Tag: @Entity @XmlRootElement public class Tag implements Serializable { /** * */ private static final long serialVersionUID = 5165922776051697002L; @Id @GeneratedValue(strategy = GenerationType.AUTO) private Long id; @ManyToOne(fetch = FetchType.LAZY) @JoinColumns({@JoinColumn(name = "PURCHASEID", referencedColumnName = "ID")}) private Purchase purchase; @JsonIgnore public Purchase getPurchase() { return purchase; } public void setPurchase(Purchase purchase) { this.purchase = purchase; } } PurchaseService: @Service public class PurchaseService implements IPurchaseService { @Autowired private IPurchaseDAO purchaseDAO; public PurchaseService() { } @Transactional public List<Purchase> getAll() { return purchaseDAO.findAll(); } @Transactional public Purchase getById(Long id) { return purchaseDAO.findOne(id); } @Transactional public void addPurchase(Purchase purchase) { purchaseDAO.save(purchase); } @Transactional public void updatePurchase(Purchase purchase) { purchaseDAO.update(purchase); } } TagService: @Service public class TagService implements ITagService { @Autowired private ITagDAO tagDAO; public TagService() { } @Transactional public List<Tag> getAll() { return tagDAO.findAll(); } @Transactional public Tag getById(Long id) { return tagDAO.findOne(id); } @Transactional public void addTag(Tag tag) { tagDAO.save(tag); } @Transactional public void updateTag(Tag tag) { tagDAO.update(tag); } } Any ideas on how I can fix this? (I want to avoid using EAGER loading). Do I need to setup some form of session management for transactions? Thanks

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  • OptimisticLockException in inner transaction ruins outer transaction

    - by Pace
    I have the following code (OLE = OptimisticLockException)... public void outer() { try { middle() } catch (OLE) { updateEntities(); outer(); } } @Transactional public void middle() { try { inner() } catch (OLE) { updateEntities(); middle(); } @Transactional public void inner() { //Do DB operation } inner() is called by other non-transactional methods which is why both middle() and inner() are transactional. As you can see, I deal with OLEs by updating the entities and retrying the operation. The problem I'm having is that when I designed things this way I was assuming that the only time one could get an OLE was when a transaction closed. This is apparently not the case as the call to inner() is throwing an OLE even when the stack is outer()->middle()->inner(). Now, middle() is properly handling the OLE and the retry succeeds but when it comes time to close the transaction it has been marked rollbackOnly by Spring. When the middle() method call finally returns the closing aspect throws an exception because it can't commit a transaction marked rollbackOnly. I'm uncertain what to do here. I can't clear the rollbackOnly state. I don't want to force create a transaction on every call to inner because that kills my performance. Am I missing something or can anyone see a way I can structure this differently? EDIT: To clarify what I'm asking, let me explain my main question. Is it possible to catch and handle OLE if you are inside of an @Transactional method? FYI: The transaction manager is a JpaTransactionManager and the JPA provider is Hibernate.

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  • Suggest windows webhost provider for following requirements.

    - by op_amp
    Hi, We have a asp.net MVC3 based web app which uses SQL SERVER 2008 for database. Also, we have a client side desktop application which also uses SQL SERVER 2008. While developing the system, we are able to Sync tables using SQL SERVER Replication feature. Now, we want to host our site on a webserver but we are clueless about it. If anyone of you have a similar system working then please suggest a cheap but reliable webhost which supports Replication. Initially there will be approximately 10 or less clients who will perform replication 2 or 3 times a day. The size of the database will be less than 4GB for sure.

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  • Copy Only Backups for Adhoc Backups

    Introduction In most organizations backup plans are implemented using full differential and transactional log backups. The normal scenario would be take a full backup on Sunday (off peak hours), differential backup daily at mid-night and transactional log backups on hourly basis. What ... [Read Full Article]

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  • Oracle Data Integration 12c: Simplified, Future-Ready, High-Performance Solutions

    - by Thanos Terentes Printzios
    In today’s data-driven business environment, organizations need to cost-effectively manage the ever-growing streams of information originating both inside and outside the firewall and address emerging deployment styles like cloud, big data analytics, and real-time replication. Oracle Data Integration delivers pervasive and continuous access to timely and trusted data across heterogeneous systems. Oracle is enhancing its data integration offering announcing the general availability of 12c release for the key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c, delivering Simplified and High-Performance Solutions for Cloud, Big Data Analytics, and Real-Time Replication. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. With the 12c release Oracle becomes the new leader in the data integration and replication technologies as no other vendor offers such a complete set of data integration capabilities for pervasive, continuous access to trusted data across Oracle platforms as well as third-party systems and applications. Oracle Data Integration 12c release addresses data-driven organizations’ critical and evolving data integration requirements under 3 key themes: Future-Ready Solutions : Supporting Current and Emerging Initiatives Extreme Performance : Even higher performance than ever before Fast Time-to-Value : Higher IT Productivity and Simplified Solutions  With the new capabilities in Oracle Data Integrator 12c, customers can benefit from: Superior developer productivity, ease of use, and rapid time-to-market with the new flow-based mapping model, reusable mappings, and step-by-step debugger. Increased performance when executing data integration processes due to improved parallelism. Improved productivity and monitoring via tighter integration with Oracle GoldenGate 12c and Oracle Enterprise Manager 12c. Improved interoperability with Oracle Warehouse Builder which enables faster and easier migration to Oracle Data Integrator’s strategic data integration offering. Faster implementation of business analytics through Oracle Data Integrator pre-integrated with Oracle BI Applications’ latest release. Oracle Data Integrator also integrates simply and easily with Oracle Business Analytics tools, including OBI-EE and Oracle Hyperion. Support for loading and transforming big and fast data, enabled by integration with big data technologies: Hadoop, Hive, HDFS, and Oracle Big Data Appliance. Only Oracle GoldenGate provides the best-of-breed real-time replication of data in heterogeneous data environments. With the new capabilities in Oracle GoldenGate 12c, customers can benefit from: Simplified setup and management of Oracle GoldenGate 12c when using multiple database delivery processes via a new Coordinated Delivery feature for non-Oracle databases. Expanded heterogeneity through added support for the latest versions of major databases such as Sybase ASE v 15.7, MySQL NDB Clusters 7.2, and MySQL 5.6., as well as integration with Oracle Coherence. Enhanced high availability and data protection via integration with Oracle Data Guard and Fast-Start Failover integration. Enhanced security for credentials and encryption keys using Oracle Wallet. Real-time replication for databases hosted on public cloud environments supported by third-party clouds. Tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c and other Oracle technologies, such as Oracle Database 12c and Oracle Applications, provides a number of benefits for organizations: Tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c enables developers to leverage Oracle GoldenGate’s low overhead, real-time change data capture completely within the Oracle Data Integrator Studio without additional training. Integration with Oracle Database 12c provides a strong foundation for seamless private cloud deployments. Delivers real-time data for reporting, zero downtime migration, and improved performance and availability for Oracle Applications, such as Oracle E-Business Suite and ATG Web Commerce . Oracle’s data integration offering is optimized for Oracle Engineered Systems and is an integral part of Oracle’s fast data, real-time analytics strategy on Oracle Exadata Database Machine and Oracle Exalytics In-Memory Machine. Oracle Data Integrator 12c and Oracle GoldenGate 12c differentiate the new offering on data integration with these many new features. This is just a quick glimpse into Oracle Data Integrator 12c and Oracle GoldenGate 12c. Find out much more about the new release in the video webcast "Introducing 12c for Oracle Data Integration", where customer and partner speakers, including SolarWorld, BT, Rittman Mead will join us in launching the new release. Resource Kits Meet Oracle Data Integration 12c  Discover what's new with Oracle Goldengate 12c  Oracle EMEA DIS (Data Integration Solutions) Partner Community is available for all your questions, while additional partner focused webcasts will be made available through our blog here, so stay connected. For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com Stay Connected Oracle Newsletters

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  • Real Time BI in the Real World

    - by tobin.gilman(at)oracle.com
    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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman";} One of my favorite BI offerings from Oracle is a solution called Oracle Real Time Decisions.  Whenever I mention this product in customer meetings, eyes light up.  There are some fascinating examples of customers using it to up-sell, cross-sell, increase customer retention, and reduce risk in real time, with off the charts return on investment. I plan to share some of those stories in a future blog.  In this post however, I want to share some far more common real time analytics use case scenarios that are being addressed with widely deployed Oracle BI and data integration technologies Not all real time BI applications require continuous learning, predictive modeling, and data mining.  Many simply require the ability to integrate, aggregate, and access information that is current (typically within in few minutes or a few seconds).  The use cases are infinite.  A few I've seen: ·         Purchasing agents need to match demand against available inventory ·         Manufacturing planners need to monitor current parts and material against scheduled build plans ·         Airline agents need to match ticket demand against flight schedules, ·         Human resources managers need to track the status of global hiring requisitions against current headcount authorizations...you get the idea. One way of doing this is to run reports or federated queries directly against transactional systems.  That approach can be viable if you only need to access simple data sets on rare occasions.  High volume and complex queries can quickly bog down performance of mission critical transactional systems.  There is an architecturally simple way of solving the problem, and it's being applied by real companies around the world to solve real needs in real time.    Cbeyond is an Atlanta, GA based  provider of voice, data and mobile business applications delivers.  They deliver real time information to its call center agents  as they are interacting with their customers. The data they need resides in production CRM and other transactional systems, but  instead or reporting directly off the those systems, data is first moved to an operational data store (ODS).  Rather than running data intensive, time consuming, and performance degrading batch ETL routines to populate the ODS, Cbeyond uses Oracle Golden Gate software to incrementally capture and move only the changed records from log files of the transactional systems every few minutes.  There is no impact on transactional system performance, and the information needed by call center representatives is up to date.  Oracle Business Intelligence software presents the information to services reps in a rich, visual, and highly interactive format. Avea is similar to Cbeyond.  They are a telecommunications company who integrates billing and customer information in an ODS that is accessed by their call center agents in real time using Oracle Golden Gate and Oracle Business Intelligence.  They've taken it a step further by using the ODS to feed a data warehouse.  The operational data store provides the current information needed by call center agents during "in flight" customer interactions.  The data warehouse is used for more sophisticated analysis of historical data.  For maximum performance, both the ODS and data warehouse run on the Oracle Exadata Database Machine. These are practical illustrations of companies addressing real time reporting and analysis needs using established business intelligence/data warehousing methodologies and tools common to many IT departments.  If real time BI could benefit your organization, you may be already be closer than you thought to having the pieces in place to solving the problem.    Give us a shout if you are interested in learning more or if you have an interesting use or approach to real-time BI.

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  • Authenticate native mobile app using a REST API

    - by Supercell
    I'm starting a new project soon, which is targeting mobile application for all major mobile platforms (iOS, Android, Windows). It will be a client-server architecture. The app is both informational and transactional. For the transactional part, they're required to have an account and log in before a transaction can be made. I'm new to mobile development, so I don't know how the authentication part is done on these platforms. The clients will communicate with the server through a REST API. Will be using HTTPS ofcourse. I haven't yet decided if I want the user to log in when they open the app, or only when they perform a transaction. I got the following questions: 1) Like the Facebook application, you only enter your credentials when you open the application for the first time. After that, you're automatically signed in every time you open the app. How does one accomplish this? Just simply by encrypting and storing the credentials on the device and sending them every time the app starts? 2) Do I need to authenticate the user for each (transactional) request made to the REST API or use a token based approach? Please feel free to suggest other ways for authentication. Thanks!

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  • Makes Sure To Learn About Oracle GoldenGate 12c

    - by Markus Weber
    Whether you use, or are interested in using, Oracle GoldenGate for real-time data integration database upgrades or migrations, or heterogeneous database replication the recently launched GoldenGate 12c release will certainly proof very interesting for you. To learn more about it, make sure to attend the upcoming webcast: In addition, there are several great blog entries over at the Oracle Data Integration blog: Oracle GoldenGate 12c - Leading Enterprise Replication Replicating between Cloud and On-Premises using Oracle GoldenGate Welcome Oracle Data Integration 12c: Simplified, Future-Ready Solutions with Extreme Performance 

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  • Announcement: ZFS Backup Appliance

    - by uwes
    Announcing Product Software Changes for Sun ZFS Backup Appliance Effective December 4th, 2012, Replication and Cloning software licenses are no longer mandatory purchases with Sun ZFS Backup Appliance.   Replication and Cloning are still available as optional additions on new Sun ZFS Backup Appliance quotes, or as additions to existing systems. For More Product Information Go To External: ZFS Storage Appliance Oracle.com page External: ZFS Storage Appliance Oracle Technical Network.com page External: Software download support.oracle.com page

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  • Sending emails in web applications

    - by Denise
    Hi everyone, I'm looking for some opinions here, I'm building a web application which has the fairly standard functionality of: Register for an account by filling out a form and submitting it. Receive an email with a confirmation code link Click the link to confirm the new account and log in When you send emails from your web application, it's often (usually) the case that there will be some change to the persistence layer. For example: A new user registers for an account on your site - the new user is created in the database and an email is sent to them with a confirmation link A user assigns a bug or issue to someone else - the issue is updated and email notifications are sent. How you send these emails can be critical to the success of your application. How you send them depends on how important it is that the intended recipient receives the email. We'll look at the following four strategies in relation to the case where the mail server is down, using example 1. TRANSACTIONAL & SYNCHRONOUS The sending of the email fails and the user is shown an error message saying that their account could not be created. The application will appear to be slow and unresponsive as the application waits for the connection timeout. The account is not created in the database because the transaction is rolled back. TRANSACTIONAL & ASYNCHRONOUS The transactional definition here refers to sending the email to a JMS queue or saving it in a database table for another background process to pick up and send. The user account is created in the database, the email is sent to a JMS queue for processing later. The transaction is successful and committed. The user is shown a message saying that their account was created and to check their email for a confirmation link. It's possible in this case that the email is never sent due to some other error, however the user is told that the email has been sent to them. There may be some delay in getting the email sent to the user if application support has to be called in to diagnose the email problem. NON-TRANSACTIONAL & SYNCHRONOUS The user is created in the database, but the application gets a timeout error when it tries to send the email with the confirmation link. The user is shown an error message saying that there was an error. The application is slow and unresponsive as it waits for the connection timeout When the mail server comes back to life and the user tries to register again, they are told their account already exists but has not been confirmed and are given the option of having the email re-sent to them. NON-TRANSACTIONAL & ASYNCHRONOUS The only difference between this and transactional & asynchronous is that if there is an error sending the email to the JMS queue or saving it in the database, the user account is still created but the email is never sent until the user attempts to register again. What I'd like to know is what have other people done here? Can you recommend any other solutions other than the 4 I've mentioned above? What's a reasonable way of approaching this problem? I don't want to over-engineer a system that's dealing with the (hopefully) rare situation where my mail server goes down! The simplest thing to do is to code it synchronously, but are there any other pitfalls to this approach? I guess I'm wondering if there's a best practice, I couldn't find much out there by googling.

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  • Domain Controller DNS Best Practice/Practical Considerations for Domain Controllers in Child Domains

    - by joeqwerty
    I'm setting up several child domains in an existing Active Directory forest and I'm looking for some conventional wisdom/best practice guidance for configuring both DNS client settings on the child domain controllers and for the DNS zone replication scope. Assuming a single domain controller in each domain and assuming that each DC is also the DNS server for the domain (for simplicity's sake) should the child domain controller point to itself for DNS only or should it point to some combination (primary VS. secondary) of itself and the DNS server in the parent or root domain? If a parentchildgrandchild domain hierarchy exists (with a contiguous DNS namespace) how should DNS be configured on the grandchild DC? Regarding the DNS zone replication scope, if storing each domain's DNS zone on all DNS servers in the domain then I'm assuming a DNS delegation from the parent to the child needs to exist and that a forwarder from the child to the parent needs to exist. With a parentchildgrandchild domain hierarchy then does each child forward to the direct parent for the direct parent's zone or to the root zone? Does the delegation occur at the direct parent zone or from the root zone? If storing all DNS zones on all DNS servers in the forest does it make the above questions regarding the replication scope moot? Does the replication scope have some bearing on the DNS client settings on each DC?

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  • How can records be deleted without activating the delete trigger?

    - by Servaas Phlips
    Hello there, Since about a month we are experiencing records that are disappearing from our database without any reason. (part of) Our database structure is at http://i.imgur.com/i15nG.png Now users and credentials can never be deleted. We noticed however that thanks to our backups that unfortanetely users disappeared from the database. The users and credentials that disappear appear to be completely random. In order to find out which application deletes this records we created triggers with the following checks: CREATE TRIGGER Credential_SoftDelete ON [Credential] INSTEAD OF DELETE AS DECLARE @message nvarchar(255) DECLARE @hostName nvarchar(30) DECLARE @loginName nvarchar(30) DECLARE @deletedId nvarchar(30) SELECT @deletedId=credentialid FROM deleted; SELECT @hostName=host_name,@loginName=login_name FROM sys.dm_exec_sessions WHERE session_id=@@SPID; SELECT @message = '[FAULT] Credential : ' + USER_NAME() + ' deleted ' +@deletedId + ' on ' + @@SERVERNAME + ' from [' + @hostname + ' by ' + @loginName; EXEC xp_logevent 50001,@message,ERROR GO Now after we added this trigger we hoped to find out which application deletes these credentials by searching in the log files. Unfortanetely the credentials are still deleted and the trigger Credential_SoftDelete is never logged. I did try run a delete on the database where the trigger is installed and where the users have disappeared. I ran the following query on the database: DELETE FROM [User] WHERE userid=296 and the trigger prevented deletion of this user and also logged this in the log events. This was actually on exact the same database where the users disappeared. (so no test copy or something like that) Please note that we also use replication, the type of replication we use is merge replication. How is this possible? Can the fact that we use replication on this database be the cause of this problem?

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  • MySQL is hogging my server resources

    - by Reacen
    Does anyone have any idea of what can cause this weird behaviour and how I go about fixing it? This is all coming from MySQL only (both RAM and CPU usage), for about 10 minutes after I reboot my Java game server (that has a pool of 256 connections). There are not that many queries and I think it may be more of a MySQL misconfiguration problem. My server: 3.20 GHz * 6 core / 24 GB RAM / 64 bit Windows Server 2003. My game server: Java server, with 256 MySQL connections pool (MyISAM engine), about 500,000 accounts, and 9 million rows of game items in database and about 3,000 players are connected. After about 15 minutes of the game server reboot, the server resumes its stability and CPU usage drop down to 1% ~ 5% and memory to 6 GB. Here is a copy of my MySQL configuration. Also, any advice about my MySQL configuration will be appreciated. I really set it up almost at random. # Example MySQL config file for very large systems. # # This is for a large system with memory of 1G-2G where the system runs mainly # MySQL. # # You can copy this file to # /etc/my.cnf to set global options, # mysql-data-dir/my.cnf to set server-specific options (in this # installation this directory is C:\mysql\data) or # ~/.my.cnf to set user-specific options. # # In this file, you can use all long options that a program supports. # If you want to know which options a program supports, run the program # with the "--help" option. # The following options will be passed to all MySQL clients [client] #password = your_password port = 3306 socket = /tmp/mysql.sock # Here follows entries for some specific programs # The MySQL server [mysqld] #log=c:\mysql.log port = 3306 socket = /tmp/mysql.sock skip-locking key_buffer_size = 2572M max_allowed_packet = 64M table_open_cache = 512 sort_buffer_size = 128M read_buffer_size = 128M read_rnd_buffer_size = 128M myisam_sort_buffer_size = 500M thread_cache_size = 32 query_cache_size = 1948M # Try number of CPU's*2 for thread_concurrency thread_concurrency = 12 max_connections = 5000 # Don't listen on a TCP/IP port at all. This can be a security enhancement, # if all processes that need to connect to mysqld run on the same host. # All interaction with mysqld must be made via Unix sockets or named pipes. # Note that using this option without enabling named pipes on Windows # (via the "enable-named-pipe" option) will render mysqld useless! # #skip-networking # Replication Master Server (default) # binary logging is required for replication log-bin=mysql-bin # required unique id between 1 and 2^32 - 1 # defaults to 1 if master-host is not set # but will not function as a master if omitted server-id = 1 # Replication Slave (comment out master section to use this) # # To configure this host as a replication slave, you can choose between # two methods : # # 1) Use the CHANGE MASTER TO command (fully described in our manual) - # the syntax is: # # CHANGE MASTER TO MASTER_HOST=<host>, MASTER_PORT=<port>, # MASTER_USER=<user>, MASTER_PASSWORD=<password> ; # # where you replace <host>, <user>, <password> by quoted strings and # <port> by the master's port number (3306 by default). # # Example: # # CHANGE MASTER TO MASTER_HOST='125.564.12.1', MASTER_PORT=3306, # MASTER_USER='joe', MASTER_PASSWORD='secret'; # # OR # # 2) Set the variables below. However, in case you choose this method, then # start replication for the first time (even unsuccessfully, for example # if you mistyped the password in master-password and the slave fails to # connect), the slave will create a master.info file, and any later # change in this file to the variables' values below will be ignored and # overridden by the content of the master.info file, unless you shutdown # the slave server, delete master.info and restart the slaver server. # For that reason, you may want to leave the lines below untouched # (commented) and instead use CHANGE MASTER TO (see above) # # required unique id between 2 and 2^32 - 1 # (and different from the master) # defaults to 2 if master-host is set # but will not function as a slave if omitted #server-id = 2 # # The replication master for this slave - required #master-host = <hostname> # # The username the slave will use for authentication when connecting # to the master - required #master-user = <username> # # The password the slave will authenticate with when connecting to # the master - required #master-password = <password> # # The port the master is listening on. # optional - defaults to 3306 #master-port = <port> # # binary logging - not required for slaves, but recommended #log-bin=mysql-bin # # binary logging format - mixed recommended #binlog_format=mixed # Point the following paths to different dedicated disks #tmpdir = /tmp/ #log-update = /path-to-dedicated-directory/hostname # Uncomment the following if you are using InnoDB tables #innodb_data_home_dir = C:\mysql\data/ #innodb_data_file_path = ibdata1:2000M;ibdata2:10M:autoextend #innodb_log_group_home_dir = C:\mysql\data/ # You can set .._buffer_pool_size up to 50 - 80 % # of RAM but beware of setting memory usage too high #innodb_buffer_pool_size = 384M #innodb_additional_mem_pool_size = 20M # Set .._log_file_size to 25 % of buffer pool size #innodb_log_file_size = 100M #innodb_log_buffer_size = 8M #innodb_flush_log_at_trx_commit = 1 #innodb_lock_wait_timeout = 50 [mysqldump] quick max_allowed_packet = 64M [mysql] no-auto-rehash # Remove the next comment character if you are not familiar with SQL #safe-updates [myisamchk] key_buffer_size = 256M sort_buffer_size = 256M read_buffer = 8M write_buffer = 8M [mysqlhotcopy] interactive-timeout

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  • Discover the MySQL Connect Content Catalog!

    - by Bertrand Matthelié
    The MySQL Connect content catalog is now live! MySQL Connect offers you a unique opportunity to attend:Keynotes including: "The State of the Dolphin", by Oracle's Chief Corporate Architect Edward Screven and VP of MySQL Engineering Tomas Ulin. An exciting panel on "Current MySQL Usage Models and Future Developments" with Davi Arnaud from LinkedIn, Daniel Austin from PayPal, Mark Callaghan from Facebook and Calvin Sun from Twitter. Over 65 Conference sessions enabling you to hear from: Oracle MySQL engineers on MySQL 5.6, InnoDB, replication, performance tuning, security, NoSQL, MySQL Cluster, Big Data...and more. MySQL customers including the US Census Bureau, Big Fish Games, Booking.com, Ticketmaster, and Tumblr. Internationally recognized MySQL community members and partners on topics such as performance, MySQL 5.6, backup, MySQL in the Cloud, OpenStack and Hadoop. 6 Birds-of-a-feather sessions about sharding, replication, backup, and other subjects.8 Hands-On Labs designed to give you hands-on experience about MySQL replication, the MySQL Performance Schema, MySQL Cluster...and more.6 Tutorials providing you in-depth knowledge about MySQL Performance Tuning best practices, enhancing productivity with MySQL 5.6 new features or the essentials to get started with MySQL (tutorials are available as an add-on package to MySQL Connect registrants).Demo pods and exhibitors, to learn more about Partner’s and Oracle’s offerings.Receptions on both Saturday and Sunday nights, enabling you to ask all your questions to Oracle's MySQL engineers and to network with some of the world’s best MySQL professionals.Check out the MySQL Connect content catalog and find out about the amazing sessions you have the opportunity to attend.Reminder: The early bird discount is running until July 19, Register Now to save US$500! Plan to Attend Oracle OpenWorld or JavaOne? Add the MySQL Connect event to your Oracle OpenWorld or JavaOne registration for only US$100. Exhibit/Sponsorship opportunities are also available. We look forward to seeing you at MySQL Connect!

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  • Is this table replicated?

    - by fatherjack
    Another in the potentially quite sporadic series of I need to do ... but I cant find it on the internet. I have a table that I think might be involved in replication but I don't know which publication its in... We know the table name - 'MyTable' We have replication running on our server and its replicating our database, or part of it - 'MyDatabase'. We need to know if the table is replicated and if so which publication is going to need to be reviewed if we make changes to the table. How? USE MyDatabase GO /* Lots of info about our table but not much that's relevant to our current requirements*/ SELECT * FROM sysobjects WHERE NAME = 'MyTable' -- mmmm, getting there /* To quote BOL - "Contains one row for each merge article defined in the local database. This table is stored in the publication database.replication" interesting column is [pubid] */ SELECT * FROM dbo.sysmergearticles AS s WHERE NAME = 'MyTable' -- really close now /* the sysmergepublications table - Contains one row for each merge publication defined in the database. This table is stored in the publication and subscription databases. so this would be where we get the publication details */ SELECT * FROM dbo.sysmergepublications AS s WHERE s.pubid = '2876BBD8-3D4E-4ED8-88F3-581A659E8144' -- DONE IT. /* Combine the two tables above and we get the information we need */ SELECT s.[name] AS [Publication name] FROM dbo.sysmergepublications AS s INNER JOIN dbo.sysmergearticles AS s2 ON s.pubid = s2.pubid WHERE s2.NAME = 'MyTable' So I now know which

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