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  • Eclipse Galileo + Glassfish v3: JPADeployer NullPointerException on deploy

    - by bshacklett
    I've created a very simple "Enterprise Application" project with about 7 entity beans and one stateless session bean. I've also configured an instance of Glassfish v3 to run as my application server. Unfortunately, when I attempt to publish the EAR to Glassfish, I'm getting the following response: SEVERE: Exception while invoking class org.glassfish.persistence.jpa.JPADeployer prepare method java.lang.NullPointerException at org.glassfish.persistence.jpa.JPADeployer.prepare(JPADeployer.java:104) at com.sun.enterprise.v3.server.ApplicationLifecycle.prepareModule(ApplicationLifecycle.java:644) at org.glassfish.javaee.full.deployment.EarDeployer.prepareBundle(EarDeployer.java:269) at org.glassfish.javaee.full.deployment.EarDeployer.access$200(EarDeployer.java:79) at org.glassfish.javaee.full.deployment.EarDeployer$1.doBundle(EarDeployer.java:131) at org.glassfish.javaee.full.deployment.EarDeployer$1.doBundle(EarDeployer.java:129) at org.glassfish.javaee.full.deployment.EarDeployer.doOnBundles(EarDeployer.java:197) at org.glassfish.javaee.full.deployment.EarDeployer.doOnAllTypedBundles(EarDeployer.java:206) at org.glassfish.javaee.full.deployment.EarDeployer.doOnAllBundles(EarDeployer.java:232) at org.glassfish.javaee.full.deployment.EarDeployer.prepare(EarDeployer.java:129) at com.sun.enterprise.v3.server.ApplicationLifecycle.prepareModule(ApplicationLifecycle.java:644) at com.sun.enterprise.v3.server.ApplicationLifecycle.deploy(ApplicationLifecycle.java:296) at com.sun.enterprise.v3.server.ApplicationLifecycle.deploy(ApplicationLifecycle.java:183) at org.glassfish.deployment.admin.DeployCommand.execute(DeployCommand.java:272) at com.sun.enterprise.v3.admin.CommandRunnerImpl$1.execute(CommandRunnerImpl.java:305) at com.sun.enterprise.v3.admin.CommandRunnerImpl.doCommand(CommandRunnerImpl.java:320) at com.sun.enterprise.v3.admin.CommandRunnerImpl.doCommand(CommandRunnerImpl.java:1176) at com.sun.enterprise.v3.admin.CommandRunnerImpl.access$900(CommandRunnerImpl.java:83) at com.sun.enterprise.v3.admin.CommandRunnerImpl$ExecutionContext.execute(CommandRunnerImpl.java:1235) at com.sun.enterprise.v3.admin.CommandRunnerImpl$ExecutionContext.execute(CommandRunnerImpl.java:1224) at com.sun.enterprise.v3.admin.AdminAdapter.doCommand(AdminAdapter.java:365) at com.sun.enterprise.v3.admin.AdminAdapter.service(AdminAdapter.java:204) at com.sun.grizzly.tcp.http11.GrizzlyAdapter.service(GrizzlyAdapter.java:166) at com.sun.enterprise.v3.server.HK2Dispatcher.dispath(HK2Dispatcher.java:100) at com.sun.enterprise.v3.services.impl.ContainerMapper.service(ContainerMapper.java:245) at com.sun.grizzly.http.ProcessorTask.invokeAdapter(ProcessorTask.java:791) at com.sun.grizzly.http.ProcessorTask.doProcess(ProcessorTask.java:693) at com.sun.grizzly.http.ProcessorTask.process(ProcessorTask.java:954) at com.sun.grizzly.http.DefaultProtocolFilter.execute(DefaultProtocolFilter.java:170) at com.sun.grizzly.DefaultProtocolChain.executeProtocolFilter(DefaultProtocolChain.java:135) at com.sun.grizzly.DefaultProtocolChain.execute(DefaultProtocolChain.java:102) at com.sun.grizzly.DefaultProtocolChain.execute(DefaultProtocolChain.java:88) at com.sun.grizzly.http.HttpProtocolChain.execute(HttpProtocolChain.java:76) at com.sun.grizzly.ProtocolChainContextTask.doCall(ProtocolChainContextTask.java:53) at com.sun.grizzly.SelectionKeyContextTask.call(SelectionKeyContextTask.java:57) at com.sun.grizzly.ContextTask.run(ContextTask.java:69) at com.sun.grizzly.util.AbstractThreadPool$Worker.doWork(AbstractThreadPool.java:330) at com.sun.grizzly.util.AbstractThreadPool$Worker.run(AbstractThreadPool.java:309) at java.lang.Thread.run(Thread.java:637)

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  • UnsatisfiedLinkError on Websphere Application Server 6.1 Data Source

    - by user338154
    Hi, I am unable to start the installed App on my WAS instance. I believe the root cause is an UnsatisfiedLinkError which is shown as follows: Caused by: java.lang.UnsatisfiedLinkError: no ocijdbc10 in java.library.path at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1682) at java.lang.Runtime.loadLibrary0(Runtime.java:822) at java.lang.System.loadLibrary(System.java:993) at oracle.jdbc.driver.T2CConnection$1.run(T2CConnection.java:3147) at java.security.AccessController.doPrivileged(Native Method) at oracle.jdbc.driver.T2CConnection.loadNativeLibrary(T2CConnection.java:3143) at oracle.jdbc.driver.T2CConnection.logon(T2CConnection.java:221) at oracle.jdbc.driver.PhysicalConnection.(PhysicalConnection.java:441) at oracle.jdbc.driver.T2CConnection.(T2CConnection.java:132) at oracle.jdbc.driver.T2CDriverExtension.getConnection(T2CDriverExtension.java:78) at oracle.jdbc.driver.OracleDriver.connect(OracleDriver.java:801) at oracle.jdbc.pool.OracleDataSource.getPhysicalConnection(OracleDataSource.java:297) at oracle.jdbc.xa.client.OracleXADataSource.getPooledConnection(OracleXADataSource.java:515) at oracle.jdbc.xa.client.OracleXADataSource.getXAConnection(OracleXADataSource.java:159) at oracle.jdbc.xa.client.OracleXADataSource.getXAConnection(OracleXADataSource.java:133) at com.ibm.ws.rsadapter.spi.InternalGenericDataStoreHelper$1.run(InternalGenericDataStoreHelper.java:935) at com.ibm.ws.security.util.AccessController.doPrivileged(AccessController.java:118) at com.ibm.ws.rsadapter.spi.InternalGenericDataStoreHelper.getPooledConnection(InternalGenericDataStoreHelper.java:972) at com.ibm.ws.rsadapter.spi.WSRdbDataSource.getPooledConnection(WSRdbDataSource.java:1625) at com.ibm.ws.rsadapter.spi.WSManagedConnectionFactoryImpl.createManagedConnection(WSManagedConnectionFactoryImpl.java:1220) at com.ibm.ejs.j2c.FreePool.createManagedConnectionWithMCWrapper(FreePool.java:1988) at com.ibm.ejs.j2c.FreePool.createOrWaitForConnection(FreePool.java:1660) at com.ibm.ejs.j2c.PoolManager.reserve(PoolManager.java:2341) at com.ibm.ejs.j2c.ConnectionManager.allocateMCWrapper(ConnectionManager.java:932) at com.ibm.ejs.j2c.ConnectionManager.allocateConnection(ConnectionManager.java:608) at com.ibm.ws.rsadapter.jdbc.WSJdbcDataSource.getConnection(WSJdbcDataSource.java:449) at com.ibm.ws.rsadapter.jdbc.WSJdbcDataSource.getConnection(WSJdbcDataSource.java:418) at org.apache.ojb.broker.accesslayer.ConnectionFactoryAbstractImpl.newConnectionFromDataSource(Unknown Source) at org.apache.ojb.broker.accesslayer.ConnectionFactoryAbstractImpl.lookupConnection(Unknown Source) at org.apache.ojb.broker.accesslayer.ConnectionFactoryManagedImpl.lookupConnection(Unknown Source) at org.apache.ojb.broker.accesslayer.ConnectionManagerImpl.getConnection(Unknown Source) at org.apache.ojb.broker.accesslayer.StatementManager.getPreparedStatement(Unknown Source) at org.apache.ojb.broker.accesslayer.JdbcAccessImpl.executeQuery(Unknown Source) at org.apache.ojb.broker.accesslayer.RsQueryObject.performQuery(Unknown Source) at org.apache.ojb.broker.accesslayer.RsIterator.(Unknown Source) at org.apache.ojb.broker.core.RsIteratorFactoryImpl.createRsIterator(Unknown Source) at org.apache.ojb.broker.core.PersistenceBrokerImpl.getRsIteratorFromQuery(Unknown Source) at org.apache.ojb.broker.core.PersistenceBrokerImpl.getIteratorFromQuery(Unknown Source) at org.apache.ojb.broker.core.QueryReferenceBroker.getCollectionByQuery(Unknown Source) at org.apache.ojb.broker.core.QueryReferenceBroker.getCollectionByQuery(Unknown Source) at org.apache.ojb.broker.core.QueryReferenceBroker.getCollectionByQuery(Unknown Source) at org.apache.ojb.broker.core.PersistenceBrokerImpl.getCollectionByQuery(Unknown Source) at org.apache.ojb.broker.core.DelegatingPersistenceBroker.getCollectionByQuery(Unknown Source) at org.apache.ojb.broker.core.DelegatingPersistenceBroker.getCollectionByQuery(Unknown Source) at com.ascential.xmeta.persistence.orm.impl.ojb.OjbPersistentEObjectPersistenceRegistry.loadPackageCache(OjbPersistentEObjectPersistenceRegistry.java:371) ... 115 more My LD_LIBRARY_PATH variable for the 'was' user is /opt/oracle/product/10.2.0/lib What else should I be checking to fix this error? Please help. Thanks

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  • Oracle Unicode problem when using NLS_CHARACTERSET is WE8ISO8859P1 and NLS_NCHAR_CHARACTERSET is AL16UTF16, and ColdFusion as programming language

    - by tsurahman
    I have 2 Oracle 10g database, XE and Enterprise XE Enterprise and this are the data type I've use in the test table and then I tried to test to insert some Unicode char from http://www.sustainablegis.com/unicode/ and the results are XE Enterprise for this test, I use ColdFusion 9 developer edition <cfprocessingDirective pageencoding="utf-8"> <cfset setEncoding("form","utf-8")> <form action="" method="post"> Unicode : <br> <textarea name="txaUnicode" id="txaUnicode" cols="50" rows="10"></textarea> <br><br> Language : <br> <input type="Text" name="txtLanguage" id="txtLanguage"> <br><br> <input type="Submit"> </form> <cfset dsn = "theDSN"> <cfif StructKeyExists(FORM, "FIELDNAMES")> <cfquery name="qryInsert" datasource="#dsn#"> INSERT INTO UNICODE ( C_VARCHAR2, C_CHAR, C_CLOB, C_NVARCHAR2, LANGUAGE ) VALUES ( <cfqueryparam cfsqltype="CF_SQL_VARCHAR" value="#FORM.TXAUNICODE#">, <cfqueryparam cfsqltype="CF_SQL_CHAR" value="#FORM.TXAUNICODE#">, <cfqueryparam cfsqltype="CF_SQL_LONGVARCHAR" value="#FORM.TXAUNICODE#">, <cfqueryparam cfsqltype="CF_SQL_VARCHAR" value="#FORM.TXAUNICODE#">, <cfqueryparam cfsqltype="CF_SQL_VARCHAR" value="#FORM.TXTLANGUAGE#"> ) </cfquery> </cfif> <cfquery name="qryUnicode" datasource="#dsn#"> SELECT * FROM UNICODE ORDER BY LANGUAGE </cfquery> <table border="1"> <thead> <tr> <th>LANGUAGE</th> <th>C_VARCHAR2</th> <th>C_CHAR</th> <th>C_CLOB</th> <th>C_NVARCHAR2</th> </tr> </thead> <tbody> <cfoutput query="qryUnicode"> <tr> <td>#qryUnicode.LANGUAGE#</td> <td>#qryUnicode.C_VARCHAR2#</td> <td>#qryUnicode.C_CHAR#</td> <td>#qryUnicode.C_CLOB#</td> <td>#qryUnicode.C_NVARCHAR2#</td> </tr> </cfoutput> </tbody> </table> from this guide http://www.stanford.edu/dept/itss/docs/oracle/10g/server.101/b10749/ch6unicode.htm#i1007297 I think for my Enterprise database it should produce same thing as XE (at least for NVARCHAR2 column) since the typical solution from that guide said: Use NCHAR and NVARCHAR2 datatypes to store Unicode characters Keep WE8ISO8859P1 as the database character set Use AL16UTF16 as the national character set So, how to make it works too in my Enterprise database? Thank you :)

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  • Access Insurance Company Wins 2010 Technology Innovation Award at IASA

    - by [email protected]
    Helen Pitts, senior product marketing manager for Oracle Insurance, is blogging from the 2010 IASA Annual Conference and Business Show this week. For the second time in two weeks an Oracle Insurance customer has earned recognition at an insurance industry event for its innovative use of technology to transform their business. Access Insurance Company received the 2010 Technology Innovation Award during the 2010 IASA Annual Conference and Business Show this week in Grapevine, Texas. The company earned the recognition for its "Instant Access" application, which executes all the business rules and processes needed to provide a quote, bind, and issue a policy. CIO Andy Dunn and Tim Reynolds stopped by the Oracle Insurance Booth at IASA to visit with the team, show their award, and share how the platform has provided a strategic advantage to the company and helped it increase revenue by penetrating new markets, increasing market share and improving customer retention. Since implementing Instant Access in 2009 - a platform that leverages both Oracle Insurance Insbridge Rating and Underwriting and Oracle Documaker - the carrier has: Increased policies in force by 22%, from 140,185 to more than 270,000 Grown market share by 4.6% Increased 2009 revenue by 26.5% Increased ratio of policyholders per CSR by 30% Increased its appointed independent producers by 43 percent Now that's true innovation! You can learn more about the company's formula for success by reading Access Insurance Holdings CEO and president Michael McMenamin's interview with Insurance & Technology, Data Mastery Drives Access Insurance's 'Instant Access' Business Technology Platform. Congratulations to Michael, Andy, Tim and the entire team at Access Insurance on this well deserved honor - and for your role as a technology leader for the industry. Helen Pitts is senior product marketing manager for Oracle Insurance.

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  • Queued Loadtest to remove Concurrency issues using Shared Data Service in OpenScript

    - by stefan.thieme(at)oracle.com
    Queued Processing to remove Concurrency issues in Loadtest ScriptsSome scripts act on information returned by the server, e.g. act on first item in the returned list of pending tasks/actions. This may lead to concurrency issues if the virtual users simulated in a load test scenario are not synchronized in some way.As the load test cases should be carried out in a comparable and straight forward manner simply cancel a transaction in case a collision occurs is clearly not an option. In case you increase the number of virtual users this approach would lead to a high number of requests for the early steps in your transaction (e.g. login, retrieve list of action points, assign an action point to the virtual user) but later steps would be rarely visited successfully or at all, depending on the application logic.A way to tackle this problem is to enqueue the virtual users in a Shared Data Service queue. Only the first virtual user in this queue will be allowed to carry out the critical steps (retrieve list of action points, assign an action point to the virtual user) in your transaction at any one time.Once a virtual user has passed the critical path it will dequeue himself from the head of the queue and continue with his actions. This does theoretically allow virtual users to run in parallel all steps of the transaction which are not part of the critical path.In practice it has been seen this is rarely the case, though it does not allow adding more than N users to perform a transaction without causing delays due to virtual users waiting in the queue. N being the time of the total transaction divided by the sum of the time of all critical steps in this transaction.While this problem can be circumvented by allowing multiple queues to act on individual segments of the list of actions, e.g. per country filter, ends with 0..9 filter, etc.This would require additional handling of these additional queues of slots for the virtual users at the head of the queue in order to maintain the mutually exclusive access to the first element in the list returned by the server at any one time of the load test. Such an improved handling of multiple queues and/or multiple slots is above the subject of this paper.Shared Data Services Pre-RequisitesStart WebLogic Server to host Shared Data ServicesYou will have to make sure that your WebLogic server is installed and started. Shared Data Services may not work if you installed only the minimal installation package for OpenScript. If however you installed the default package including OLT and OTM, you may follow the instructions below to start and verify WebLogic installation.To start the WebLogic Server deployed underneath of Oracle Load Testing and/or Oracle Test Manager you can go to your Start menu, Oracle Application Testing Suite and select the Restart Oracle Application Testing Suite Application Service entry from the Tools submenu.To verify the service has been started you can run the Microsoft Management Console for Services by Selecting Run from the Start Menu and entering services.msc. Look for the entry that reads Oracle Application Testing Suite Application Service, once it has changed it status from Starting to Started you can proceed to verify the login. Please note that this may take several minutes, I would say up to 10 minutes depending on the strength of your CPU horse-power.Verify WebLogic Server user credentialsYou will have to make sure that your WebLogic Server is installed and started. Next open the Oracle WebLogic Server Adminstration Console on http://localhost:8088/console.It may take a while until the application is deployed and started. It may display the following until the Administration Console has been deployed on the fly.Afterwards you can login using the username oats and the password that you selected during install time for your Application Testing Suite administrative purposes.This will bring up the Home page of you WebLogic Server. You have actually verified that you are able to login with these credentials already. However if you want to check the details, navigate to Security Realms, myrealm, Users and Groups tab.Here you could add users to your WebLogic Server which could be used in the later steps. Details on the Groups required for such a custom user to work are exceeding this quick overview and have to be selected with the WebLogic Server Adminstration Guide in mind.Shared Data Services pre-requisites for Load testingOpenScript Preferences have to be set to enable Encryption and provide a default Shared Data Service Connection for Playback.These are pre-requisites you want to use for load testing with Shared Data Services.Please note that the usage of the Connection Parameters (individual directive in the script) for Shared Data Services did not playback reliably in the current version 9.20.0370 of Oracle Load Testing (OLT) and encryption of credentials still seemed to be mandatory as well.General Encryption settingsSelect OpenScript Preferences from the View menu and navigate to the General, Encryption entry in the tree on the left. Select the Encrypt script data option from the list and enter the same password that you used for securing your WebLogic Server Administration Console.Enable global shared data access credentialsSelect OpenScript Preferences from the View menu and navigate to the Playback, Shared Data entry in the tree on the left. Enable the global shared data access credentials and enter the Address, User name and Password determined for your WebLogic Server to host Shared Data Services.Please note, that you may want to replace the localhost in Address with the hosts realname in case you plan to run load tests with Loadtest Agents running on remote systems.Queued Processing of TransactionsEnable Shared Data Services Module in Script PropertiesThe Shared Data Services Module has to be enabled for each Script that wants to employ the Shared Data Service Queue functionality in OpenScript. It can be enabled under the Script menu selecting Script Properties. On the Script Properties Dialog select the Modules section and check Shared Data to enable Shared Data Service Module for your script. Checking the Shared Data Services option will effectively add a line to your script code that adds the sharedData ScriptService to your script class of IteratingVUserScript.@ScriptService oracle.oats.scripting.modules.sharedData.api.SharedDataService sharedData;Record your scriptRecord your script as usual and then add the following things for Queue handling in the Initialize code block, before the first step and after the last step of your critical path and in the Finalize code block.The java code to be added at individual locations is explained in the following sections in full detail.Create a Shared Data Queue in InitializeTo create a Shared Data Queue go to the Java view of your script and enter the following statements to the initialize() code block.info("Create queueA with life time of 120 minutes");sharedData.createQueue("queueA", 120);This will create an instantiation of the Shared Data Queue object named queueA which is maintained for upto 120 minutes.If you want to use the code for multiple scripts, make sure to use a different queue name for each one here and in the subsequent steps. You may even consider to use a dynamic queueName based on filters of your result list being concurrently accessed.Prepare a unique id for each IterationIn order to keep track of individual virtual users in our queue we need to create a unique identifier from the virtual user id and the used username right after retrieving the next record from our databank file.getDatabank("Usernames").getNextDatabankRecord();getVariables().set("usernameValue1","VU_{{@vuid}}_{{@iterationnum}}_{{db.Usernames.Username}}_{{@timestamp}}_{{@random(10000)}}");String usernameValue = getVariables().get("usernameValue1");info("Now running virtual user " + usernameValue);As you can see from the above code block, we have set the OpenScript variable usernameValue1 to VU_{{@vuid}}_{{@iterationnum}}_{{db.Usernames.Username}}_{{@timestamp}}_{{@random(10000)}} which is a concatenation of the virtual user id and the iterationnumber for general uniqueness; as well as the username from our databank, the timestamp and a random number for making it further unique and ease spotting of errors.Not all of these fields are actually required to make it really unique, but adding the queue name may also be considered to help troubleshoot multiple queues.The value is then retrieved with the getVariables.get() method call and assigned to the usernameValue String used throughout the script.Please note that moving the getDatabank("Usernames").getNextDatabankRecord(); call to the initialize block was later considered to remove concurrency of multiple virtual users running with the same userid and therefor accessing the same "My Inbox" in step 6. This will effectively give each virtual user a userid from the databank file. Make sure you have enough userids to remove this second hurdle.Enqueue and attend Queue before Critical PathTo maintain the right order of virtual users being allowed into the critical path of the transaction the following pseudo step has to be added in front of the first critical step. In the case of this example this is right in front of the step where we retrieve the list of actions from which we select the first to be assigned to us.beginStep("[0] Waiting in the Queue", 0);{info("Enqueued virtual user " + usernameValue + " at the end of queueA");sharedData.offerLast("queueA", usernameValue);info("Wait until the user is the first in queueA");String queueValue1 = null;do {// we wait for at least 0.7 seconds before we check the head of the// queue. This is the time it takes one user to move through the// critical path, i.e. pass steps [5] Enter country and [6] Assign// to meThread.sleep(700);queueValue1 = (String) sharedData.peekFirst("queueA");info("The first user in queueA is currently: '" + queueValue1 + "' " + queueValue1.getClass() + " length " + queueValue1.length() );info("The current user is '"+ usernameValue + "' " + usernameValue.getClass() + " length " + usernameValue.length() + ": indexOf " + usernameValue.indexOf(queueValue1) + " equals " + usernameValue.equals(queueValue1) );} while ( queueValue1.indexOf(usernameValue) < 0 );info("Now the user is the first in queueA");}endStep();This will enqueue the username to the tail of our Queue. It will will wait for at least 700 milliseconds, the time it takes for one user to exit the critical path and then compare the head of our queue with it's username. This last step will be repeated while the two are not equal (indexOf less than zero). If they are equal the indexOf will yield a value of zero or larger and we will perform the critical steps.Dequeue after Critical PathAfter the virtual user has left the critical path and complete its last step the following code block needs to dequeue the virtual user. In the case of our example this is right after the action has been actually assigned to the virtual user. This will allow the next virtual user to retrieve the list of actions still available and in turn let him make his selection/assignment.info("Get and remove the current user from the head of queueA");String pollValue1 = (String) sharedData.pollFirst("queueA");The current user is removed from the head of the queue. The next one will now be able to match his username against the head of the queue.Clear and Destroy Queue for FinishWhen the script has completed, it should clear and destroy the queue. This code block can be put in the finish block of your script and/or in a separate script in order to clear and remove the queue in case you have spotted an error or want to reset the queue for some reason.info("Clear queueA");sharedData.clearQueue("queueA");info("Destroy queueA");sharedData.destroyQueue("queueA");The users waiting in queueA are cleared and the queue is destroyed. If you have scripts still executing they will be caught in a loop.I found it better to maintain a separate Reset Queue script which contained only the following code in the initialize() block. I use to call this script to make sure the queue is cleared in between multiple Loadtest runs. This script could also even be added as the first in a larger scenario, which would execute it only once at very start of the Loadtest and make sure the queues do not contain any stale entries.info("Create queueA with life time of 120 minutes");sharedData.createQueue("queueA", 120);info("Clear queueA");sharedData.clearQueue("queueA");This will create a Shared Data Queue instance of queueA and clear all entries from this queue.Monitoring QueueWhile creating the scripts it was useful to monitor the contents, i.e. the current first user in the Queue. The following code block will make sure the Shared Data Queue is accessible in the initialize() block.info("Create queueA with life time of 120 minutes");sharedData.createQueue("queueA", 120);In the run() block the following code will continuously monitor the first element of the Queue and write an informational message with the current username Value to the Result window.info("Monitor the first users in queueA");String queueValue1 = null;do {queueValue1 = (String) sharedData.peekFirst("queueA");if (queueValue1 != null)info("The first user in queueA is currently: '" + queueValue1 + "' " + queueValue1.getClass() + " length " + queueValue1.length() );} while ( true );This script can be run from OpenScript parallel to a loadtest performed by the Oracle Load Test.However it is not recommend to run this in a production loadtest as the performance impact is unknown. Accessing the Queue's head with the peekFirst() method has been reported with about 2 seconds response time by both OpenScript and OTL. It is advised to log a Service Request to see if this could be lowered in future releases of Application Testing Suite, as the pollFirst() and even offerLast() writing to the tail of the Queue usually returned after an average 0.1 seconds.Debugging QueueWhile debugging the scripts the following was useful to remove single entries from its head, i.e. the current first user in the Queue. The following code block will make sure the Shared Data Queue is accessible in the initialize() block.info("Create queueA with life time of 120 minutes");sharedData.createQueue("queueA", 120);In the run() block the following code will remove the first element of the Queue and write an informational message with the current username Value to the Result window.info("Get and remove the current user from the head of queueA");String pollValue1 = (String) sharedData.pollFirst("queueA");info("The first user in queueA was currently: '" + pollValue1 + "' " + pollValue1.getClass() + " length " + pollValue1.length() );ReferencesOracle Functional Testing OpenScript User's Guide Version 9.20 [E15488-05]Chapter 17 Using the Shared Data Modulehttp://download.oracle.com/otn/nt/apptesting/oats-docs-9.21.0030.zipOracle Fusion Middleware Oracle WebLogic Server Administration Console Online Help 11g Release 1 (10.3.4) [E13952-04]Administration Console Online Help - Manage users and groupshttp://download.oracle.com/docs/cd/E17904_01/apirefs.1111/e13952/taskhelp/security/ManageUsersAndGroups.htm

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  • NRF Week - Disney Store Tour

    - by sarah.taylor(at)oracle.com
    Disney has created a real buzz at this year's NRF event. Yesterday morning we began the Oracle Retail Exchange program with a visit to the flagship Disney store in Times Square. Additionally Oracle made a key announcement with Disney  on Oracle Retail's Point of Sale implementation in 330 stores worldwide. Today   Disney's Steve Finney gave a super session on The Magic of Disney at the NRF Big Show. We also saw Disney making an exclusive news announcement about their plans for Global store openings at the Oracle trade show stand - with a little help from Mickey and Minnie Mouse. Disney Stores have been entirely reinvented since the company in 2008 took ownership after previously franchising the retail arm of the business. They have subsequently been a strong Oracle partner and technology has played a key role in their re imagination of the store environment. The new Imagination stores have a 20% higher footfall and margins are up 25%. The Disney brand is synonymous with magical and memorable experiences for children of all ages. The company is achieving a unique retail experience that delights children and shareholders alike! Technology is a key pillar in helping to deliver on both a strong operating model and a unique customer experience - the best thirty minutes in a child's day is their aim. Steve Finney this morning said their technology has to be as reliable as a theme park ride. Store experiences are much more enjoyable when there are short waiting times and children can interact with their favourite characters through magic mirrors, mobile point of sale, touch screens and custom animations that are digitally transmitted to stores globally. The Oracle Retail Point of Sale with iPad touch screens reduces check out times, stores customer data, ensures that promotions are delivered accurately and reduces losses. This means higher levels of guest conversion, increased availability and convenience for customers who want to check availability at other locations. Disney is a pioneer. At NRF's 100th show, we had the privilege of learning from a retailer using technology as a creative force to drive their business forward.

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  • BI Applications 7.9.6.3 and EBS 12.1.3 Vision: Integrated Demo Environments

    - by Mike.Hallett(at)Oracle-BI&EPM
    If you need a combined BI-Applications + eBusiness Suite Applications demonstration environment, or for proof of concept work for your customers, then these versions of images on Oracle Virtual Box are now available for partners to download and use.  To get access to these images, Partners must be OPN members, specialised in OBI or BI-Apps.   This is an integrated Demo/Test Drive/POC/Self Enablement environment including two separate images (in English) representing the entire Oracle Stack – Applications, Middleware, Database, Operating System and Virtual Machine. Minimum Hardware requirements for each image to run separately 4GB RAM Minimum Hardware requirements for both images to run concurrently 8GB RAM Dual CPU 64 bit OS   BI Applications 7.9.6.3 Linux based and running on Oracle Virtual Box and compatible with OVM Image Content: BI Application Analytics demo data extracted from EBS 12.1.3 Vision for Financials and HR using EBS 12.1.3 Vision (image supplied) Built Integration to EBS 12.1.3 Vision image (provided). Fully functional BI Applications 7.9.6.3 software install and configuration Image can be connected to load any data from any other compatible source system. BI Apps Demo data is based on OOTB EBS Vision 12.1.3 Configured to run BI Apps data load for all other modules of EBS 12.1.3 Vision. Includes OBIEE Sample demonstration content Documented scripts for running presentations, demonstrations and Test Drives Image Size: 34GB zip, 84GB unzip.  Min Hardware 4GB RAM         EBS Vision 12.1.3 Linux based and running on Oracle Virtual Box and compatible with OVM Image Content: eBusiness Suite (EBS) Applications Vision 12.1.3 Standard Vision instance with all given setups, configurations and data Source system for BI Apps 7.9.6.3 Image Size: 76GB zip, 300GB unzip.  Min Hardware 4GB RAM Distribution: The Virtual Box images are posted on an external FTP server @ BI Applications 7.9.6.3 EBS12.1.3   To download, Partners need to request the current password to access the images.  To request the current ftp.oracle.com password and the password required to unzip the images, please email Marek Winiarski   Support Contact =  Marek Winiarski: Oracle Partner Solution Consultant

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  • New Packt Books: APEX & JRockit

    - by [email protected]
      I have received these 2 ebooks from Packt Publkishing and I am currently reviewing them. Both of them look great so far.   Oracle Application Express 3.2 - The Essentials and More First of all, I have to mention that I am new to APEX. I was interested on this product which is a development tool for Web applications on the Oracle Database. As I support JDeveloper and ADF, which are products that work very closely with the Oracle Database and are a rapid development tool as well, it is always interesting and useful to know complementary tools. APEX looks very useful and the book includes many working examples. A more complete review of this book is coming soon. Further information about this book can be seen at Packt.   Oracle JRockit: The Definitive Guide Many of our Oracle Coherence customers run their caches and clusters using JRockit. This JVM has helped us to solve lots of Service Requests. It is a really reliable, fast and stable JVM. It works great on both development and production environments with big amounts of data, concurrency, multi-threading and many other factors that can make a JVM crash. I must also mention JRockit Mission Control (JRMC), which is a great tool for management and monitoring. I really recommend it. As a matter of fact, some months ago, I created a document entitled "How to Monitor Coherence-Based Applications using JRockit Mission Control" (Doc Id 961617.1) on My Oracle Support. Also, the JRockit Runtime Analyzer (JRA) and it successor of newer versions, the JRockit Flight Recorder (JFR) are deeply reviewed. This book contains very clear and complete information about all this and more. I will post an entry with a more complete review soon (and will probably post an entry about Coherence monitoring with JRMC soon too). Further information about this book can be seen at Packt.  

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  • Patch Set Update: Hyperion Essbase 11.1.2.3.502

    - by Paul Anderson -Oracle
    A Patch Set Update (PSU) for Oracle Hyperion Essbase 11.1.2.3.x . The PSU downloads are from the My Oracle Support | Patches & Updates section. Hyperion Essbase Server 11.1.2.3.502 Patch 18950479: Essbase Server Hyperion Essbase Client 11.2.3.502 Patch 18950453: Essbase RTC Patch 18950474: Essbase Client Patch 18950482: Essbase MSI Hyperion Essbase Administration Services (EAS) 11.1.2.3.502 Patch 17767626: Essbase Server Patch 17767628: Essbase Console MSI Hyperion Analytic Provider Services (APS) 11.1.2.3.502 Patch 18907738: APS Services Hyperion Essbase Studio 11.1.2.3.502 Patch 18907980: Essbase Studio Server Patch 18907987: Essbase Studio Console MSI Refer to the Readme file prior to proceeding with this PSU implementation for important information that includes a full list of the defects fixed, along with additional support information, prerequisites, details for applying patch and troubleshooting FAQ's. It is important to ensure that the requirements and support paths to this patch are met as outlined within the Readme file. The Readme file is available from the Patches & Updates download screen. To locate the latest Essbase Patch Sets and Patch Set Updates at anytime visit the My Oracle Support (MOS) Knowledge Article: Available Patch Sets and Patch Set Updates for Oracle Hyperion Essbase Doc ID 1396084.1 Why not share your experience about installing this patch ... In the MOS | Patches & Updates screen simply click the "Start a Discussion" and submit your review. The patch install reviews and other patch related information is available within the My Oracle Support Communities. Visit the Oracle Hyperion EPM sub-space: Hyperion Patch Reviews

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  • EM12c: Using the LIST verb in emcli

    - by SubinDaniVarughese
    Many of us who use EM CLI to write scripts and automate our daily tasks should not miss out on the new list verb released with Oracle Enterprise Manager 12.1.0.3.0. The combination of list and Jython based scripting support in EM CLI makes it easier to achieve automation for complex tasks with just a few lines of code. Before I jump into a script, let me highlight the key attributes of the list verb and why it’s simply excellent! 1. Multiple resources under a single verb:A resource can be set of users or targets, etc. Using the list verb, you can retrieve information about a resource from the repository database.Here is an example which retrieves the list of administrators within EM.Standard mode$ emcli list -resource="Administrators" Interactive modeemcli>list(resource="Administrators")The output will be the same as standard mode.Standard mode$ emcli @myAdmin.pyEnter password :  ******The output will be the same as standard mode.Contents of myAdmin.py scriptlogin()print list(resource="Administrators",jsonout=False).out()To get a list of all available resources use$ emcli list -helpWith every release of EM, more resources are being added to the list verb. If you have a resource which you feel would be valuable then go ahead and contact Oracle Support to log an enhancement request with product development. Be sure to say how the resource is going to help improve your daily tasks. 2. Consistent Formatting:It is possible to format the output of any resource consistently using these options:  –column  This option is used to specify which columns should be shown in the output. Here is an example which shows the list of administrators and their account status$ emcli list -resource="Administrators" -columns="USER_NAME,REPOS_ACCOUNT_STATUS" To get a list of columns in a resource use:$ emcli list -resource="Administrators" -help You can also specify the width of the each column. For example, here the column width of user_type is set to 20 and department to 30. $ emcli list -resource=Administrators -columns="USER_NAME,USER_TYPE:20,COST_CENTER,CONTACT,DEPARTMENT:30"This is useful if your terminal is too small or you need to fine tune a list of specific columns for your quick use or improved readability.  –colsize  This option is used to resize column widths.Here is the same example as above, but using -colsize to define the width of user_type to 20 and department to 30.$ emcli list -resource=Administrators -columns="USER_NAME,USER_TYPE,COST_CENTER,CONTACT,DEPARTMENT" -colsize="USER_TYPE:20,DEPARTMENT:30" The existing standard EMCLI formatting options are also available in list verb. They are: -format="name:pretty" | -format="name:script” | -format="name:csv" | -noheader | -scriptThere are so many uses depending on your needs. Have a look at the resources and columns in each resource. Refer to the EMCLI book in EM documentation for more information.3. Search:Using the -search option in the list verb makes it is possible to search for a specific row in a specific column within a resource. This is similar to the sqlplus where clause. The following operators are supported:           =           !=           >           <           >=           <=           like           is (Must be followed by null or not null)Here is an example which searches for all EM administrators in the marketing department located in the USA.$emcli list -resource="Administrators" -search="DEPARTMENT ='Marketing'" -search="LOCATION='USA'" Here is another example which shows all the named credentials created since a specific date.  $emcli list -resource=NamedCredentials -search="CredCreatedDate > '11-Nov-2013 12:37:20 PM'"Note that the timestamp has to be in the format DD-MON-YYYY HH:MI:SS AM/PM Some resources need a bind variable to be passed to get output. A bind variable is created in the resource and then referenced in the command. For example, this command will list all the default preferred credentials for target type oracle_database.Here is an example$ emcli list -resource="PreferredCredentialsDefault" -bind="TargetType='oracle_database'" -colsize="SetName:15,TargetType:15" You can provide multiple bind variables. To verify if a column is searchable or requires a bind variable, use the –help option. Here is an example:$ emcli list -resource="PreferredCredentialsDefault" -help 4. Secure accessWhen list verb collects the data, it only displays content for which the administrator currently logged into emcli, has access. For example consider this usecase:AdminA has access only to TargetA. AdminA logs into EM CLIExecuting the list verb to get the list of all targets will only show TargetA.5. User defined SQLUsing the –sql option, user defined sql can be executed. The SQL provided in the -sql option is executed as the EM user MGMT_VIEW, which has read-only access to the EM published MGMT$ database views in the SYSMAN schema. To get the list of EM published MGMT$ database views, go to the Extensibility Programmer's Reference book in EM documentation. There is a chapter about Using Management Repository Views. It’s always recommended to reference the documentation for the supported MGMT$ database views.  Consider you are using the MGMT$ABC view which is not in the chapter. During upgrade, it is possible, since the view was not in the book and not supported, it is likely the view might undergo a change in its structure or the data in it. Using a supported view ensures that your scripts using -sql will continue working after upgrade.Here’s an example  $ emcli list -sql='select * from mgmt$target' 6. JSON output support    JSON (JavaScript Object Notation) enables data to be displayed in a collection of name/value pairs. There is lot of reading material about JSON on line for more information.As an example, we had a requirement where an EM administrator had many 11.2 databases in their test environment and the developers had requested an Administrator to change the lifecycle status from Test to Production which meant the admin had to go to the EM “All targets” page and identify the set of 11.2 databases and then to go into each target database page and manually changes the property to Production. Sounds easy to say, but this Administrator had numerous targets and this task is repeated for every release cycle.We told him there is an easier way to do this with a script and he can reuse the script whenever anyone wanted to change a set of targets to a different Lifecycle status. Here is a jython script which uses list and JSON to change all 11.2 database target’s LifeCycle Property value.If you are new to scripting and Jython, I would suggest visiting the basic chapters in any Jython tutorials. Understanding Jython is important to write the logic depending on your usecase.If you are already writing scripts like perl or shell or know a programming language like java, then you can easily understand the logic.Disclaimer: The scripts in this post are subject to the Oracle Terms of Use located here.  1 from emcli import *  2  search_list = ['PROPERTY_NAME=\'DBVersion\'','TARGET_TYPE= \'oracle_database\'','PROPERTY_VALUE LIKE \'11.2%\'']  3 if len(sys.argv) == 2:  4    print login(username=sys.argv[0])  5    l_prop_val_to_set = sys.argv[1]  6      l_targets = list(resource="TargetProperties", search=search_list,   columns="TARGET_NAME,TARGET_TYPE,PROPERTY_NAME")  7    for target in l_targets.out()['data']:  8       t_pn = 'LifeCycle Status'  9      print "INFO: Setting Property name " + t_pn + " to value " +       l_prop_val_to_set + " for " + target['TARGET_NAME']  10      print  set_target_property_value(property_records=      target['TARGET_NAME']+":"+target['TARGET_TYPE']+":"+      t_pn+":"+l_prop_val_to_set)  11  else:  12   print "\n ERROR: Property value argument is missing"  13   print "\n INFO: Format to run this file is filename.py <username>   <Database Target LifeCycle Status Property Value>" You can download the script from here. I could not upload the file with .py extension so you need to rename the file to myScript.py before executing it using emcli.A line by line explanation for beginners: Line  1 Imports the emcli verbs as functions  2 search_list is a variable to pass to the search option in list verb. I am using escape character for the single quotes. In list verb to pass more than one value for the same option, you should define as above comma separated values, surrounded by square brackets.  3 This is an “if” condition to ensure the user does provide two arguments with the script, else in line #15, it prints an error message.  4 Logging into EM. You can remove this if you have setup emcli with autologin. For more details about setup and autologin, please go the EM CLI book in EM documentation.  5 l_prop_val_to_set is another variable. This is the property value to be set. Remember we are changing the value from Test to Production. The benefit of this variable is you can reuse the script to change the property value from and to any other values.  6 Here the output of the list verb is stored in l_targets. In the list verb I am passing the resource as TargetProperties, search as the search_list variable and I only need these three columns – target_name, target_type and property_name. I don’t need the other columns for my task.  7 This is a for loop. The data in l_targets is available in JSON format. Using the for loop, each pair will now be available in the ‘target’ variable.  8 t_pn is the “LifeCycle Status” variable. If required, I can have this also as an input and then use my script to change any target property. In this example, I just wanted to change the “LifeCycle Status”.  9 This a message informing the user the script is setting the property value for dbxyz.  10 This line shows the set_target_property_value verb which sets the value using the property_records option. Once it is set for a target pair, it moves to the next one. In my example, I am just showing three dbs, but the real use is when you have 20 or 50 targets. The script is executed as:$ emcli @myScript.py subin Production The recommendation is to first test the scripts before running it on a production system. We tested on a small set of targets and optimizing the script for fewer lines of code and better messaging.For your quick reference, the resources available in Enterprise Manager 12.1.0.4.0 with list verb are:$ emcli list -helpWatch this space for more blog posts using the list verb and EM CLI Scripting use cases. I hope you enjoyed reading this blog post and it has helped you gain more information about the list verb. Happy Scripting!!Disclaimer: The scripts in this post are subject to the Oracle Terms of Use located here. Stay Connected: Twitter | Facebook | YouTube | Linkedin | Newsletter mt=8">Download the Oracle Enterprise Manager 12c Mobile app

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  • Endeca Information Discovery 3-Day Hands-on Training Boot-Camp

    - by Mike.Hallett(at)Oracle-BI&EPM
    For Oracle Partners, on October 15-17, 2012 in Paris, France: Register here. The Oracle Endeca Information Discovery (OEID) Boot-Camp is designed to give partners an understanding of OEID’s features, and how it complements the existing Oracle Business Intelligence suite. Participants will learn how to develop & implement solutions using a Data Discovery method.  Training is in English. What will be covered? The Oracle Endeca Information Discovery (OEID) Boot Camp is a three-day class with a combination of lecture and hands-on exercises, tailored to make participants aware of the Oracle Endeca Information Discovery platform, and to gain valuable skills for the implementation of projects.   Prerequisites You must bring a laptop with you for the Hands-on labs: Attendees should have experience and familiarity with the basic concepts of business intelligence and be OPN Partners with Gold or above membership.  This training is free to OPN Partners. Click here for more information. Where and When ? Monday, October 15th until Wednesday, October 17th included  9:00 - 18:00 Oracle France 15, boulevard Charles de Gaulle 92715 Colombes: Access Venue Map Register here  : NOTE there is a Limited number of seats, you will get confirmation within 2 weeks.

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  • Implementation Specialist OPN Exam for OBI Suite 11g is Now LIVE

    - by Mike.Hallett(at)Oracle-BI&EPM
    The OPN specialisation Exam for implementation consultants of OBI Suite 11g is now live and ready for all partners.  You can now update your specialisation certification to the latest product version 11g for OBI: until recently, the accreditation had examined skills for OBI 10g. For more details see Oracle Business Intelligence Foundation Suite 11g Essentials (1Z1-591) where you can apply for this Oracle Implementation Specialist credential. This exam is primarily intended for consultants that are skilled in implementing solutions based on Oracle Business Intelligence Foundation Suite 11g. The certification covers skills such as: installing OBIEE, building the BI Server metadata repository, building BI dashboards, constructing ad hoc queries, defining security settings and configuring and managing cache files. The exam targets the intermediate-level implementation team member. Up-to-date training and field experience are recommended.   Also Note the New OPN on-line Sales & Pre-sales Assessment Tests are available @ Oracle Business Intelligence Foundation Suite 11g Sales Specialist Oracle Business Intelligence Foundation Suite 11g PreSales Specialist Oracle Business Intelligence Foundation Suite 11g Support Specialist FREE Certification Testing at OpenWorld ·       Are you attending OPN Exchange @ OpenWorld ? Then join us at OPN Specialist Test Fest! October 1st - 4th 2012, Marriott Marquis Hotel :  Pre-register here now!   For More Information OPN Certified Specialist exams OPN Certified Specialist FAQ Enablement 2.0 Get Specialized!

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  • Advanced Exalytics, Endeca and OBI Training for Partners

    - by Mike.Hallett(at)Oracle-BI&EPM
    Normal 0 false false false EN-GB X-NONE X-NONE MicrosoftInternetExplorer4 In Sweden and in Saudi Arabia there will be the next set of hands-on advanced Exalytics, Endeca and OBI Training workshops for Partners: partners from any country may attend these. These are free of charge to OPN Specialised member partners, but are subject to availability (please do not attend unless you have received a confirmation from Oracle to do so). Check the workshop agendas and pre-requisites, and register from the links below: Exalytics and Business Intelligence Hands-on Workshop (3-days) August 24-26, 2013: Oracle Riyadh, Saudi Arabia September 3-5, 2013: Oracle Kista, Sweden Endeca Information Discovery Hands-on Workshop (3-days) October 22-24, 2013: Oracle Kista, Sweden Advanced Oracle Business Intelligence Hands-on Workshop (3-days) August 19-21, 2013: Oracle Riyadh, Saudi Arabia /* 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-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; 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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • CBO????????

    - by Liu Maclean(???)
    ???Itpub????????CBO??????????, ????????: SQL> create table maclean1 as select * from dba_objects; Table created. SQL> update maclean1 set status='INVALID' where owner='MACLEAN'; 2 rows updated. SQL> commit; Commit complete. SQL> create index ind_maclean1 on maclean1(status); Index created. SQL> exec dbms_stats.gather_table_stats('SYS','MACLEAN1',cascade=>true); PL/SQL procedure successfully completed. SQL> explain plan for select * from maclean1 where status='INVALID'; Explained. SQL> set linesize 140 pagesize 1400 SQL> select * from table(dbms_xplan.display()); PLAN_TABLE_OUTPUT --------------------------------------------------------------------------- Plan hash value: 987568083 ------------------------------------------------------------------------------ | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------ | 0 | SELECT STATEMENT | | 11320 | 1028K| 85 (0)| 00:00:02 | |* 1 | TABLE ACCESS FULL| MACLEAN1 | 11320 | 1028K| 85 (0)| 00:00:02 | ------------------------------------------------------------------------------ Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter("STATUS"='INVALID') 13 rows selected. 10053 trace Access path analysis for MACLEAN1 *************************************** SINGLE TABLE ACCESS PATH   Single Table Cardinality Estimation for MACLEAN1[MACLEAN1]   Column (#10): STATUS(     AvgLen: 7 NDV: 2 Nulls: 0 Density: 0.500000   Table: MACLEAN1  Alias: MACLEAN1     Card: Original: 22639.000000  Rounded: 11320  Computed: 11319.50  Non Adjusted: 11319.50   Access Path: TableScan     Cost:  85.33  Resp: 85.33  Degree: 0       Cost_io: 85.00  Cost_cpu: 11935345       Resp_io: 85.00  Resp_cpu: 11935345   Access Path: index (AllEqRange)     Index: IND_MACLEAN1     resc_io: 185.00  resc_cpu: 8449916     ix_sel: 0.500000  ix_sel_with_filters: 0.500000     Cost: 185.24  Resp: 185.24  Degree: 1   Best:: AccessPath: TableScan          Cost: 85.33  Degree: 1  Resp: 85.33  Card: 11319.50  Bytes: 0 ?????10053????????????,?????Density = 0.5 ?? 1/ NDV ??? ??????????????STATUS='INVALID"???????????, ????????????????? ????”STATUS”=’INVALID’ condition???2?,?status??????,??????dbms_stats?????????????,???CBO????INDEX Range ind_maclean1,???????,??????opitimizer?????? ?????????????????????????,????????,??????????status=’INVALID’???????card??,????????: [oracle@vrh4 ~]$ sqlplus / as sysdba SQL*Plus: Release 11.2.0.2.0 Production on Mon Oct 17 19:15:45 2011 Copyright (c) 1982, 2010, Oracle. All rights reserved. Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.2.0 - 64bit Production With the Partitioning, OLAP, Data Mining and Real Application Testing options SQL> select * from v$version; BANNER -------------------------------------------------------------------------------- Oracle Database 11g Enterprise Edition Release 11.2.0.2.0 - 64bit Production PL/SQL Release 11.2.0.2.0 - Production CORE 11.2.0.2.0 Production TNS for Linux: Version 11.2.0.2.0 - Production NLSRTL Version 11.2.0.2.0 - Production SQL> show parameter optimizer_fea NAME TYPE VALUE ------------------------------------ ----------- ------------------------------ optimizer_features_enable string 11.2.0.2 SQL> select * from global_name; GLOBAL_NAME -------------------------------------------------------------------------------- www.oracledatabase12g.com & www.askmaclean.com SQL> drop table maclean; Table dropped. SQL> create table maclean as select * from dba_objects; Table created. SQL> update maclean set status='INVALID' where owner='MACLEAN'; 2 rows updated. SQL> commit; Commit complete. SQL> create index ind_maclean on maclean(status); Index created. SQL> exec dbms_stats.gather_table_stats('SYS','MACLEAN',cascade=>true, method_opt=>'FOR ALL COLUMNS SIZE 2'); PL/SQL procedure successfully completed. ???????2?bucket????, ??????????????? ???Quest???Guy Harrison???????FREQUENCY????????,??????: rem rem Generate a histogram of data distribution in a column as recorded rem in dba_tab_histograms rem rem Guy Harrison Jan 2010 : www.guyharrison.net rem rem hexstr function is from From http://asktom.oracle.com/pls/asktom/f?p=100:11:0::::P11_QUESTION_ID:707586567563 set pagesize 10000 set lines 120 set verify off col char_value format a10 heading "Endpoint|value" col bucket_count format 99,999,999 heading "bucket|count" col pct format 999.99 heading "Pct" col pct_of_max format a62 heading "Pct of|Max value" rem col endpoint_value format 9999999999999 heading "endpoint|value" CREATE OR REPLACE FUNCTION hexstr (p_number IN NUMBER) RETURN VARCHAR2 AS l_str LONG := TO_CHAR (p_number, 'fm' || RPAD ('x', 50, 'x')); l_return VARCHAR2 (4000); BEGIN WHILE (l_str IS NOT NULL) LOOP l_return := l_return || CHR (TO_NUMBER (SUBSTR (l_str, 1, 2), 'xx')); l_str := SUBSTR (l_str, 3); END LOOP; RETURN (SUBSTR (l_return, 1, 6)); END; / WITH hist_data AS ( SELECT endpoint_value,endpoint_actual_value, NVL(LAG (endpoint_value) OVER (ORDER BY endpoint_value),' ') prev_value, endpoint_number, endpoint_number, endpoint_number - NVL (LAG (endpoint_number) OVER (ORDER BY endpoint_value), 0) bucket_count FROM dba_tab_histograms JOIN dba_tab_col_statistics USING (owner, table_name,column_name) WHERE owner = '&owner' AND table_name = '&table' AND column_name = '&column' AND histogram='FREQUENCY') SELECT nvl(endpoint_actual_value,endpoint_value) endpoint_value , bucket_count, ROUND(bucket_count*100/SUM(bucket_count) OVER(),2) PCT, RPAD(' ',ROUND(bucket_count*50/MAX(bucket_count) OVER()),'*') pct_of_max FROM hist_data; WITH hist_data AS ( SELECT endpoint_value,endpoint_actual_value, NVL(LAG (endpoint_value) OVER (ORDER BY endpoint_value),' ') prev_value, endpoint_number, endpoint_number, endpoint_number - NVL (LAG (endpoint_number) OVER (ORDER BY endpoint_value), 0) bucket_count FROM dba_tab_histograms JOIN dba_tab_col_statistics USING (owner, table_name,column_name) WHERE owner = '&owner' AND table_name = '&table' AND column_name = '&column' AND histogram='FREQUENCY') SELECT hexstr(endpoint_value) char_value, bucket_count, ROUND(bucket_count*100/SUM(bucket_count) OVER(),2) PCT, RPAD(' ',ROUND(bucket_count*50/MAX(bucket_count) OVER()),'*') pct_of_max FROM hist_data ORDER BY endpoint_value; ?????,??????????FREQUENCY?????: ??dbms_stats ?????STATUS=’INVALID’ bucket count=9 percent = 0.04 ,??????10053 trace????????: SQL> explain plan for select * from maclean where status='INVALID'; Explained. SQL>  select * from table(dbms_xplan.display()); PLAN_TABLE_OUTPUT ------------------------------------- Plan hash value: 3087014066 ------------------------------------------------------------------------------------------- | Id  | Operation                   | Name        | Rows  | Bytes | Cost (%CPU)| Time     | ------------------------------------------------------------------------------------------- |   0 | SELECT STATEMENT            |             |     9 |   837 |     2   (0)| 00:00:01 | |   1 |  TABLE ACCESS BY INDEX ROWID| MACLEAN     |     9 |   837 |     2   (0)| 00:00:01 | |*  2 |   INDEX RANGE SCAN          | IND_MACLEAN |     9 |       |     1   (0)| 00:00:01 | ------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): ---------------------------------------------------    2 - access("STATUS"='INVALID') ??????????????CBO???????STATUS=’INVALID’?cardnality?? , ??????????? ,??index range scan??Full table scan? ????????????????10053 trace: SQL> alter system flush shared_pool; System altered. SQL> oradebug setmypid; Statement processed. SQL> oradebug event 10053 trace name context forever ,level 1; Statement processed. SQL> explain plan for select * from maclean where status='INVALID'; Explained. SINGLE TABLE ACCESS PATH Single Table Cardinality Estimation for MACLEAN[MACLEAN] Column (#10): NewDensity:0.000199, OldDensity:0.000022 BktCnt:22640, PopBktCnt:22640, PopValCnt:2, NDV:2 ???NewDensity= bucket_count / SUM(bucket_count) /2 Column (#10): STATUS( AvgLen: 7 NDV: 2 Nulls: 0 Density: 0.000199 Histogram: Freq #Bkts: 2 UncompBkts: 22640 EndPtVals: 2 Table: MACLEAN Alias: MACLEAN Card: Original: 22640.000000 Rounded: 9 Computed: 9.00 Non Adjusted: 9.00 Access Path: TableScan Cost: 85.30 Resp: 85.30 Degree: 0 Cost_io: 85.00 Cost_cpu: 10804625 Resp_io: 85.00 Resp_cpu: 10804625 Access Path: index (AllEqRange) Index: IND_MACLEAN resc_io: 2.00 resc_cpu: 20763 ix_sel: 0.000398 ix_sel_with_filters: 0.000398 Cost: 2.00 Resp: 2.00 Degree: 1 Best:: AccessPath: IndexRange Index: IND_MACLEAN Cost: 2.00 Degree: 1 Resp: 2.00 Card: 9.00 Bytes: 0 ???????????2 bucket?????CBO????????????,???????????????????,???dbms_stats.DEFAULT_METHOD_OPT????????????????????? ???dbms_stats?????????????????????col_usage$??????predicate???????,??col_usage$??<????????SMON??(?):??col_usage$????>? ??????????dbms_stats????????,col_usage$????????????predicate???,??dbms_stats??????????????????, ?: SQL> drop table maclean; Table dropped. SQL> create table maclean as select * from dba_objects; Table created. SQL> update maclean set status='INVALID' where owner='MACLEAN'; 2 rows updated. SQL> commit; Commit complete. SQL> create index ind_maclean on maclean(status); Index created. ??dbms_stats??method_opt??maclean? SQL> exec dbms_stats.gather_table_stats('SYS','MACLEAN'); PL/SQL procedure successfully completed. @histogram.sql Enter value for owner: SYS old  12:    WHERE owner = '&owner' new  12:    WHERE owner = 'SYS' Enter value for table: MACLEAN old  13:      AND table_name = '&table' new  13:      AND table_name = 'MACLEAN' Enter value for column: STATUS old  14:      AND column_name = '&column' new  14:      AND column_name = 'STATUS' no rows selected ????col_usage$?????,????????status????? declare begin for i in 1..500 loop execute immediate ' alter system flush shared_pool'; DBMS_STATS.FLUSH_DATABASE_MONITORING_INFO; execute immediate 'select count(*) from maclean where status=''INVALID'' ' ; end loop; end; / PL/SQL procedure successfully completed. SQL> select obj# from obj$ where name='MACLEAN';       OBJ# ----------      97215 SQL> select * from  col_usage$ where  OBJ#=97215;       OBJ#    INTCOL# EQUALITY_PREDS EQUIJOIN_PREDS NONEQUIJOIN_PREDS RANGE_PREDS LIKE_PREDS NULL_PREDS TIMESTAMP ---------- ---------- -------------- -------------- ----------------- ----------- ---------- ---------- ---------      97215          1              1              0                 0           0          0          0 17-OCT-11      97215         10            499              0                 0           0          0          0 17-OCT-11 SQL> exec dbms_stats.gather_table_stats('SYS','MACLEAN'); PL/SQL procedure successfully completed. @histogram.sql Enter value for owner: SYS Enter value for table: MACLEAN Enter value for column: STATUS Endpoint        bucket         Pct of value            count     Pct Max value ---------- ----------- ------- -------------------------------------------------------------- INVALI               2     .04 VALIC3           5,453   99.96  *************************************************

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  • Big Data&rsquo;s Killer App&hellip;

    - by jean-pierre.dijcks
    Recently Keith spent  some time talking about the cloud on this blog and I will spare you my thoughts on the whole thing. What I do want to write down is something about the Big Data movement and what I think is the killer app for Big Data... Where is this coming from, ok, I confess... I spent 3 days in cloud land at the Cloud Connect conference in Santa Clara and it was quite a lot of fun. One of the nice things at Cloud Connect was that there was a track dedicated to Big Data, which prompted me to some extend to write this post. What is Big Data anyways? The most valuable point made in the Big Data track was that Big Data in itself is not very cool. Doing something with Big Data is what makes all of this cool and interesting to a business user! The other good insight I got was that a lot of people think Big Data means a single gigantic monolithic system holding gazillions of bytes or documents or log files. Well turns out that most people in the Big Data track are talking about a lot of collections of smaller data sets. So rather than thinking "big = monolithic" you should be thinking "big = many data sets". This is more than just theoretical, it is actually relevant when thinking about big data and how to process it. It is important because it means that the platform that stores data will most likely consist out of multiple solutions. You may be storing logs on something like HDFS, you may store your customer information in Oracle and you may store distilled clickstream information in some distilled form in MySQL. The big question you will need to solve is not what lives where, but how to get it all together and get some value out of all that data. NoSQL and MapReduce Nope, sorry, this is not the killer app... and no I'm not saying this because my business card says Oracle and I'm therefore biased. I think language is important, but as with storage I think pragmatic is better. In other words, some questions can be answered with SQL very efficiently, others can be answered with PERL or TCL others with MR. History should teach us that anyone trying to solve a problem will use any and all tools around. For example, most data warehouses (Big Data 1.0?) get a lot of data in flat files. Everyone then runs a bunch of shell scripts to massage or verify those files and then shoves those files into the database. We've even built shell script support into external tables to allow for this. I think the Big Data projects will do the same. Some people will use MapReduce, although I would argue that things like Cascading are more interesting, some people will use Java. Some data is stored on HDFS making Cascading the way to go, some data is stored in Oracle and SQL does do a good job there. As with storage and with history, be pragmatic and use what fits and neither NoSQL nor MR will be the one and only. Also, a language, while important, does in itself not deliver business value. So while cool it is not a killer app... Vertical Behavioral Analytics This is the killer app! And you are now thinking: "what does that mean?" Let's decompose that heading. First of all, analytics. I would think you had guessed by now that this is really what I'm after, and of course you are right. But not just analytics, which has a very large scope and means many things to many people. I'm not just after Business Intelligence (analytics 1.0?) or data mining (analytics 2.0?) but I'm after something more interesting that you can only do after collecting large volumes of specific data. That all important data is about behavior. What do my customers do? More importantly why do they behave like that? If you can figure that out, you can tailor web sites, stores, products etc. to that behavior and figure out how to be successful. Today's behavior that is somewhat easily tracked is web site clicks, search patterns and all of those things that a web site or web server tracks. that is where the Big Data lives and where these patters are now emerging. Other examples however are emerging, and one of the examples used at the conference was about prediction churn for a telco based on the social network its members are a part of. That social network is not about LinkedIn or Facebook, but about who calls whom. I call you a lot, you switch provider, and I might/will switch too. And that just naturally brings me to the next word, vertical. Vertical in this context means per industry, e.g. communications or retail or government or any other vertical. The reason for being more specific than just behavioral analytics is that each industry has its own data sources, has its own quirky logic and has its own demands and priorities. Of course, the methods and some of the software will be common and some will have both retail and service industry analytics in place (your corner coffee store for example). But the gist of it all is that analytics that can predict customer behavior for a specific focused group of people in a specific industry is what makes Big Data interesting. Building a Vertical Behavioral Analysis System Well, that is going to be interesting. I have not seen much going on in that space and if I had to have some criticism on the cloud connect conference it would be the lack of concrete user cases on big data. The telco example, while a step into the vertical behavioral part is not really on big data. It used a sample of data from the customers' data warehouse. One thing I do think, and this is where I think parts of the NoSQL stuff come from, is that we will be doing this analysis where the data is. Over the past 10 years we at Oracle have called this in-database analytics. I guess we were (too) early? Now the entire market is going there including companies like SAS. In-place btw does not mean "no data movement at all", what it means that you will do this on data's permanent home. For SAS that is kind of the current problem. Most of the inputs live in a data warehouse. So why move it into SAS and back? That all worked with 1 TB data warehouses, but when we are looking at 100TB to 500 TB of distilled data... Comments? As it is still early days with these systems, I'm very interested in seeing reactions and thoughts to some of these thoughts...

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  • Alert visualization recipe: Get out your blender, drop in some sp_send_dbmail, Google Charts API, add your favorite colors and sprinkle with html. Blend till it’s smooth and looks pretty enough to taste.

    - by Maria Zakourdaev
      I really like database monitoring. My email inbox have a constant flow of different types of alerts coming from our production servers with all kinds of information, sometimes more useful and sometimes less useful. Usually database alerts look really simple, it’s usually a plain text email saying “Prod1 Database data file on Server X is 80% used. You’d better grow it manually before some query triggers the AutoGrowth process”. Imagine you could have received email like the one below.  In addition to the alert description it could have also included the the database file growth chart over the past 6 months. Wouldn’t it give you much more information whether the data growth is natural or extreme? That’s truly what data visualization is for. Believe it or not, I have sent the graph below from SQL Server stored procedure without buying any additional data monitoring/visualization tool.   Would you like to visualize your database alerts like I do? Then like myself, you’d love the Google Charts. All you need to know is a little HTML and have a mail profile configured on your SQL Server instance regardless of the SQL Server version. First of all, I hope you know that the sp_send_dbmail procedure has a great parameter @body_format = ‘HTML’, which allows us to send rich and colorful messages instead of boring black and white ones. All that we need is to dynamically create HTML code. This is how, for instance, you can create a table and populate it with some data: DECLARE @html varchar(max) SET @html = '<html>' + '<H3><font id="Text" style='color: Green;'>Top Databases: </H3>' + '<table border="1" bordercolor="#3300FF" style='background-color:#DDF8CC' width='70%' cellpadding='3' cellspacing='3'>' + '<tr><font color="Green"><th>Database Name</th><th>Size</th><th>Physical Name</th></tr>' + CAST( (SELECT TOP 10                             td = name,'',                             td = size * 8/1024 ,'',                             td = physical_name              FROM sys.master_files               ORDER BY size DESC             FOR XML PATH ('tr'),TYPE ) AS VARCHAR(MAX)) + '</table>' EXEC msdb.dbo.sp_send_dbmail @recipients = '[email protected]', @subject ='Top databases', @body = @html, @body_format = 'HTML' This is the result:   If you want to add more visualization effects, you can use Google Charts Tools https://google-developers.appspot.com/chart/interactive/docs/index which is a free and rich library of data visualization charts, they’re also easy to populate and embed. There are two versions of the Google Charts Image based charts: https://google-developers.appspot.com/chart/image/docs/gallery/chart_gall This is an old version, it’s officially deprecated although it will be up for a next few years or so. I really enjoy using this one because it can be viewed within the email body. For mobile devices you need to change the “Load remote images” property in your email application configuration.           Charts based on JavaScript classes: https://google-developers.appspot.com/chart/interactive/docs/gallery This API is newer, with rich and highly interactive charts, and it’s much more easier to understand and configure. The only downside of it is that they cannot be viewed within the email body. Outlook, Gmail and many other email clients, as part of their security policy, do not run any JavaScript that’s placed within the email body. However, you can still enjoy this API by sending the report as an email attachment. Here is an example of the old version of Google Charts API, sending the same top databases report as in the previous example but instead of a simple table, this script is using a pie chart right from  the T-SQL code DECLARE @html  varchar(8000) DECLARE @Series  varchar(800),@Labels  varchar(8000),@Legend  varchar(8000);     SET @Series = ''; SET @Labels = ''; SET @Legend = ''; SELECT TOP 5 @Series = @Series + CAST(size * 8/1024 as varchar) + ',',                         @Labels = @Labels +CAST(size * 8/1024 as varchar) + 'MB'+'|',                         @Legend = @Legend + name + '|' FROM sys.master_files ORDER BY size DESC SELECT @Series = SUBSTRING(@Series,1,LEN(@Series)-1),         @Labels = SUBSTRING(@Labels,1,LEN(@Labels)-1),         @Legend = SUBSTRING(@Legend,1,LEN(@Legend)-1) SET @html =   '<H3><font color="Green"> '+@@ServerName+' top 5 databases : </H3>'+    '<br>'+    '<img src="http://chart.apis.google.com/chart?'+    'chf=bg,s,DDF8CC&'+    'cht=p&'+    'chs=400x200&'+    'chco=3072F3|7777CC|FF9900|FF0000|4A8C26&'+    'chd=t:'+@Series+'&'+    'chl='+@Labels+'&'+    'chma=0,0,0,0&'+    'chdl='+@Legend+'&'+    'chdlp=b"'+    'alt="'+@@ServerName+' top 5 databases" />'              EXEC msdb.dbo.sp_send_dbmail @recipients = '[email protected]',                             @subject = 'Top databases',                             @body = @html,                             @body_format = 'HTML' This is what you get. Isn’t it great? Chart parameters reference: chf     Gradient fill  bg - backgroud ; s- solid cht     chart type  ( p - pie) chs        chart size width/height chco    series colors chd        chart data string        1,2,3,2 chl        pir chart labels        a|b|c|d chma    chart margins chdl    chart legend            a|b|c|d chdlp    chart legend text        b - bottom of chart   Line graph implementation is also really easy and powerful DECLARE @html varchar(max) DECLARE @Series varchar(max) DECLARE @HourList varchar(max) SET @Series = ''; SET @HourList = ''; SELECT @HourList = @HourList + SUBSTRING(CONVERT(varchar(13),last_execution_time,121), 12,2)  + '|' ,              @Series = @Series + CAST( COUNT(1) as varchar) + ',' FROM sys.dm_exec_query_stats s     CROSS APPLY sys.dm_exec_sql_text(plan_handle) t WHERE last_execution_time > = getdate()-1 GROUP BY CONVERT(varchar(13),last_execution_time,121) ORDER BY CONVERT(varchar(13),last_execution_time,121) SET @Series = SUBSTRING(@Series,1,LEN(@Series)-1) SET @html = '<img src="http://chart.apis.google.com/chart?'+ 'chco=CA3D05,87CEEB&'+ 'chd=t:'+@Series+'&'+ 'chds=1,350&'+ 'chdl= Proc executions from cache&'+ 'chf=bg,s,1F1D1D|c,lg,0,363433,1.0,2E2B2A,0.0&'+ 'chg=25.0,25.0,3,2&'+ 'chls=3|3&'+ 'chm=d,CA3D05,0,-1,12,0|d,FFFFFF,0,-1,8,0|d,87CEEB,1,-1,12,0|d,FFFFFF,1,-1,8,0&'+ 'chs=600x450&'+ 'cht=lc&'+ 'chts=FFFFFF,14&'+ 'chtt=Executions for from' +(SELECT CONVERT(varchar(16),min(last_execution_time),121)          FROM sys.dm_exec_query_stats          WHERE last_execution_time > = getdate()-1) +' till '+ +(SELECT CONVERT(varchar(16),max(last_execution_time),121)     FROM sys.dm_exec_query_stats) + '&'+ 'chxp=1,50.0|4,50.0&'+ 'chxs=0,FFFFFF,12,0|1,FFFFFF,12,0|2,FFFFFF,12,0|3,FFFFFF,12,0|4,FFFFFF,14,0&'+ 'chxt=y,y,x,x,x&'+ 'chxl=0:|1|350|1:|N|2:|'+@HourList+'3:|Hour&'+ 'chma=55,120,0,0" alt="" />' EXEC msdb.dbo.sp_send_dbmail @recipients = '[email protected]', @subject ='Daily number of executions', @body = @html, @body_format = 'HTML' Chart parameters reference: chco    series colors chd        series data chds    scale format chdl    chart legend chf        background fills chg        grid line chls    line style chm        line fill chs        chart size cht        chart type chts    chart style chtt    chart title chxp    axis label positions chxs    axis label styles chxt    axis tick mark styles chxl    axis labels chma    chart margins If you don’t mind to get your charts as an email attachment, you can enjoy the Java based Google Charts which are even easier to configure, and have much more advanced graphics. In the example below, the sp_send_email procedure uses the parameter @query which will be executed at the time that sp_send_dbemail is executed and the HTML result of this execution will be attached to the email. DECLARE @html varchar(max),@query varchar(max) DECLARE @SeriesDBusers  varchar(800);     SET @SeriesDBusers = ''; SELECT @SeriesDBusers = @SeriesDBusers +  ' ["'+DB_NAME(r.database_id) +'", ' +cast(count(1) as varchar)+'],' FROM sys.dm_exec_requests r GROUP BY DB_NAME(database_id) ORDER BY count(1) desc; SET @SeriesDBusers = SUBSTRING(@SeriesDBusers,1,LEN(@SeriesDBusers)-1) SET @query = ' PRINT '' <html>   <head>     <script type="text/javascript" src="https://www.google.com/jsapi"></script>     <script type="text/javascript">       google.load("visualization", "1", {packages:["corechart"]});        google.setOnLoadCallback(drawChart);       function drawChart() {                      var data = google.visualization.arrayToDataTable([                        ["Database Name", "Active users"],                        '+@SeriesDBusers+'                      ]);                        var options = {                        title: "Active users",                        pieSliceText: "value"                      };                        var chart = new google.visualization.PieChart(document.getElementById("chart_div"));                      chart.draw(data, options);       };     </script>   </head>   <body>     <table>     <tr><td>         <div id="chart_div" style='width: 800px; height: 300px;'></div>         </td></tr>     </table>   </body> </html> ''' EXEC msdb.dbo.sp_send_dbmail    @recipients = '[email protected]',    @subject ='Active users',    @body = @html,    @body_format = 'HTML',    @query = @Query,     @attach_query_result_as_file = 1,     @query_attachment_filename = 'Results.htm' After opening the email attachment in the browser you are getting this kind of report: In fact, the above is not only for database alerts. It can be used for applicative reports if you need high levels of customization that you cannot achieve using standard methods like SSRS. If you need more information on how to customize the charts, you can try the following: Image Based Charts wizard https://google-developers.appspot.com/chart/image/docs/chart_wizard  Live Image Charts Playground https://google-developers.appspot.com/chart/image/docs/chart_playground Image Based Charts Parameters List https://google-developers.appspot.com/chart/image/docs/chart_params Java Script Charts Playground https://code.google.com/apis/ajax/playground/?type=visualization Use the above examples as a starting point for your procedures and I’d be more than happy to hear of your implementations of the above techniques. Yours, Maria

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  • Who is Jeremiah Owyang?

    - by Michael Hylton
    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: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:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Q: What’s your current role and what career path brought you here? J.O.: I'm currently a partner and one of the founding team members at Altimeter Group.  I'm currently the Research Director, as well as wear the hat of Industry Analyst. Prior to joining Altimeter, I was an Industry Analyst at Forrester covering Social Computing, and before that, deployed and managed the social media program at Hitachi Data Systems in Santa Clara.  Around that time, I started a career blog called Web Strategy which focused on how companies were using the web to connect with customers --and never looked back. Q: As an industry analyst, what are you focused on these days? J.O.: There are three trends that I'm focused my research on at this time:  1) The Dynamic Customer Journey:  Individuals (both b2c and b2b) are given so many options in their sources of data, channels to choose from and screens to consume them on that we've found that at each given touchpoint there are 75 potential permutations.  Companies that can map this, then deliver information to individuals when they need it will have a competitive advantage and we want to find out who's doing this.  2) One of the sub themes that supports this trend is Social Performance.  Yesterday's social web was disparate engagement of humans, but the next phase will be data driven, and soon new technologies will emerge to help all those that are consuming, publishing, and engaging on the social web to be more efficient with their time through forms of automation.  As you might expect, this comes with upsides and downsides.  3) The Sentient World is our research theme that looks out the furthest as the world around us (even inanimate objects) become 'self aware' and are able to talk back to us via digital devices and beyond.  Big data, internet of things, mobile devices will all be this next set. Q: People cite that the line between work and life is getting more and more blurred. Do you see your personal life influencing your professional work? J.O.: The lines between our work and personal lives are dissolving, and this leads to a greater upside of being always connected and have deeper relationships with those that are not.  It also means a downside of society expectations that we're always around and available for colleagues, customers, and beyond.  In the future, a balance will be sought as we seek to achieve the goals of family, friends, work, and our own personal desires.  All of this is being ironically written at 430 am on a Sunday am.  Q: How can people keep up with what you’re working on? J.O.: A great question, thanks.  There are a few sources of information to find out, I'll lead with the first which is my blog at web-strategist.com.  A few times a week I'll publish my industry insights (hires, trends, forces, funding, M&A, business needs) as well as on twitter where I'll point to all the news that's fit to print @jowyang.  As my research reports go live (we publish them for all to read --called Open Research-- at no cost) they'll emerge on my blog, or checkout the research tab to find out more now.  http://www.web-strategist.com/blog/research/ Q: Recently, you’ve been working with us here at Oracle on something exciting coming up later this week. What’s on the horizon?  J.O.: Absolutely! This coming Thursday, September 13th, I’m doing a webcast with Oracle on “Managing Social Relationships for the Enterprise”. This is going to be a great discussion with Reggie Bradford, Senior Vice President of Product Development at Oracle and Christian Finn, Senior Director of Product Management for Oracle WebCenter. I’m looking forward to a great discussion around all those issues that so many companies are struggling with these days as they realize how much social media is impacting their business. It’s changing the way your customers and employees interact with your brand. Today it’s no longer a matter of when to become a social-enabled enterprise, but how to become a successful one. 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: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:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Q: You’ve been very actively pursued for media interviews and conference and company speaking engagements – anything you’d like to share to give us a sneak peak of what to expect on Thursday’s webcast?  J.O.: Below is a 15 minute video which encapsulates Altimeter’s themes on the Dynamic Customer Journey and the Sentient World. I’m really proud to have taken an active role in the first ever LeWeb outside of Paris. This one, which was featured in downtown London across the street from Westminster Abbey was sold out. If you’ve not heard of LeWeb, this is a global Internet conference hosted by Loic and Geraldine Le Meur, a power couple that stem from Paris but are also living in Silicon Valley, this is one of my favorite conferences to connect with brands, technology innovators, investors and friends. Altimeter was able to play a minor role in suggesting the theme for the event “Faster Than Real Time” which stems off previous LeWebs that focused on the “Real time web”. In this radical state, companies are able to anticipate the needs of their customers by using data, technology, and devices and deliver meaningful experiences before customers even know they need it. I explore two of three of Altimeter’s research themes, the Dynamic Customer Journey, and the Sentient World in my speech, but due to time, did not focus on Adaptive Organization.

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  • Extending Database-as-a-Service to Provision Databases with Application Data

    - by Nilesh A
    Oracle Enterprise Manager 12c Database as a Service (DBaaS) empowers Self Service/SSA Users to rapidly spawn databases on demand in cloud. The configuration and structure of provisioned databases depends on respective service template selected by Self Service user while requesting for database. In EM12c, the DBaaS Self Service/SSA Administrator has the option of hosting various service templates in service catalog and based on underlying DBCA templates.Many times provisioned databases require production scale data either for UAT, testing or development purpose and managing DBCA templates with data can be unwieldy. So, we need to populate the database using post deployment script option and without any additional work for the SSA Users. The SSA Administrator can automate this task in few easy steps. For details on how to setup DBaaS Self Service Portal refer to the DBaaS CookbookIn this article, I will list steps required to enable EM 12c DBaaS to provision databases with application data in two distinct ways using: 1) Data pump 2) Transportable tablespaces (TTS). The steps listed below are just examples of how to extend EM 12c DBaaS and you can even have your own method plugged in part of post deployment script option. Using Data Pump to populate databases These are the steps to be followed to implement extending DBaaS using Data Pump methodolgy: Production DBA should run data pump export on the production database and make the dump file available to all the servers participating in the database zone [sample shown in Fig.1] -- Full exportexpdp FULL=y DUMPFILE=data_pump_dir:dpfull1%U.dmp, data_pump_dir:dpfull2%U.dmp PARALLEL=4 LOGFILE=data_pump_dir:dpexpfull.log JOB_NAME=dpexpfull Figure-1:  Full export of database using data pump Create a post deployment SQL script [sample shown in Fig. 2] and this script can either be uploaded into the software library by SSA Administrator or made available on a shared location accessible from servers where databases are likely to be provisioned Normal 0 -- Full importdeclare    h1   NUMBER;begin-- Creating the directory object where source database dump is backed up.    execute immediate 'create directory DEST_LOC as''/scratch/nagrawal/OracleHomes/oradata/INITCHNG/datafile''';-- Running import    h1 := dbms_datapump.open (operation => 'IMPORT', job_mode => 'FULL', job_name => 'DB_IMPORT10');    dbms_datapump.set_parallel(handle => h1, degree => 1);    dbms_datapump.add_file(handle => h1, filename => 'IMP_GRIDDB_FULL.LOG', directory => 'DATA_PUMP_DIR', filetype => 3);    dbms_datapump.add_file(handle => h1, filename => 'EXP_GRIDDB_FULL_%U.DMP', directory => 'DEST_LOC', filetype => 1);    dbms_datapump.start_job(handle => h1);    dbms_datapump.detach(handle => h1);end;/ Figure-2: Importing using data pump pl/sql procedures Using DBCA, create a template for the production database – include all the init.ora parameters, tablespaces, datafiles & their sizes SSA Administrator should customize “Create Database Deployment Procedure” and provide DBCA template created in the previous step. In “Additional Configuration Options” step of Customize “Create Database Deployment Procedure” flow, provide the name of the SQL script in the Custom Script section and lock the input (shown in Fig. 3). Continue saving the deployment procedure. Figure-3: Using Custom script option for calling Import SQL Now, an SSA user can login to Self Service Portal and use the flow to provision a database that will also  populate the data using the post deployment step. Using Transportable tablespaces to populate databases Copy of all user/application tablespaces will enable this method of populating databases. These are the required steps to extend DBaaS using transportable tablespaces: Production DBA needs to create a backup of tablespaces. Datafiles may need conversion [such as from Big Endian to Little Endian or vice versa] based on the platform of production and destination where DBaaS created the test database. Here is sample backup script shows how to find out if any conversion is required, describes the steps required to convert datafiles and backup tablespace. SSA Administrator should copy the database (tablespaces) backup datafiles and export dumps to the backup location accessible from the hosts participating in the database zone(s). Create a post deployment SQL script and this script can either be uploaded into the software library by SSA Administrator or made available on a shared location accessible from servers where databases are likely to be provisioned. Here is sample post deployment SQL script using transportable tablespaces. Using DBCA, create a template for the production database – all the init.ora parameters should be included. NOTE: DO NOT choose to bring tablespace data into this template as they will be created SSA Administrator should customize “Create Database Deployment Procedure” and provide DBCA template created in the previous step. In the “Additional Configuration Options” step of the flow, provide the name of the SQL script in the Custom Script section and lock the input. Continue saving the deployment procedure. Now, an SSA user can login to Self Service Portal and use the flow to provision a database that will also populate the data using the post deployment step. More Information: Database-as-a-Service on Exadata Cloud Podcast on Database as a Service using Oracle Enterprise Manager 12c Oracle Enterprise Manager 12c Installation and Administration guide, Cloud Administration guide DBaaS Cookbook Screenwatch: Private Database Cloud: Set Up the Cloud Self-Service Portal Screenwatch: Private Database Cloud: Use the Cloud Self-Service Portal Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

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  • How do I restrict concurrent statistics gathering to a small set of tables from a single schema?

    - by Maria Colgan
    I got an interesting question from one of my colleagues in the performance team last week about how to restrict a concurrent statistics gather to a small subset of tables from one schema, rather than the entire schema. I thought I would share the solution we came up with because it was rather elegant, and took advantage of concurrent statistics gathering, incremental statistics, and the not so well known “obj_filter_list” parameter in DBMS_STATS.GATHER_SCHEMA_STATS procedure. You should note that the solution outline below with “obj_filter_list” still applies, even when concurrent statistics gathering and/or incremental statistics gathering is disabled. The reason my colleague had asked the question in the first place was because he wanted to enable incremental statistics for 5 large partitioned tables in one schema. The first time you gather statistics after you enable incremental statistics on a table, you have to gather statistics for all of the existing partitions so that a synopsis may be created for them. If the partitioned table in question is large and contains a lot of partition, this could take a considerable amount of time. Since my colleague only had the Exadata environment at his disposal overnight, he wanted to re-gather statistics on 5 partition tables as quickly as possible to ensure that it all finished before morning. Prior to Oracle Database 11g Release 2, the only way to do this would have been to write a script with an individual DBMS_STATS.GATHER_TABLE_STATS command for each partition, in each of the 5 tables, as well as another one to gather global statistics on the table. Then, run each script in a separate session and manually manage how many of this session could run concurrently. Since each table has over one thousand partitions that would definitely be a daunting task and would most likely keep my colleague up all night! In Oracle Database 11g Release 2 we can take advantage of concurrent statistics gathering, which enables us to gather statistics on multiple tables in a schema (or database), and multiple (sub)partitions within a table concurrently. By using concurrent statistics gathering we no longer have to run individual statistics gathering commands for each partition. Oracle will automatically create a statistics gathering job for each partition, and one for the global statistics on each partitioned table. With the use of concurrent statistics, our script can now be simplified to just five DBMS_STATS.GATHER_TABLE_STATS commands, one for each table. This approach would work just fine but we really wanted to get this down to just one command. So how can we do that? You may be wondering why we didn’t just use the DBMS_STATS.GATHER_SCHEMA_STATS procedure with the OPTION parameter set to ‘GATHER STALE’. Unfortunately the statistics on the 5 partitioned tables were not stale and enabling incremental statistics does not mark the existing statistics stale. Plus how would we limit the schema statistics gather to just the 5 partitioned tables? So we went to ask one of the statistics developers if there was an alternative way. The developer told us the advantage of the “obj_filter_list” parameter in DBMS_STATS.GATHER_SCHEMA_STATS procedure. The “obj_filter_list” parameter allows you to specify a list of objects that you want to gather statistics on within a schema or database. The parameter takes a collection of type DBMS_STATS.OBJECTTAB. Each entry in the collection has 5 feilds; the schema name or the object owner, the object type (i.e., ‘TABLE’ or ‘INDEX’), object name, partition name, and subpartition name. You don't have to specify all five fields for each entry. Empty fields in an entry are treated as if it is a wildcard field (similar to ‘*’ character in LIKE predicates). Each entry corresponds to one set of filter conditions on the objects. If you have more than one entry, an object is qualified for statistics gathering as long as it satisfies the filter conditions in one entry. You first must create the collection of objects, and then gather statistics for the specified collection. It’s probably easier to explain this with an example. I’m using the SH sample schema but needed a couple of additional partitioned table tables to get recreate my colleagues scenario of 5 partitioned tables. So I created SALES2, SALES3, and COSTS2 as copies of the SALES and COSTS table respectively (setup.sql). I also deleted statistics on all of the tables in the SH schema beforehand to more easily demonstrate our approach. Step 0. Delete the statistics on the tables in the SH schema. Step 1. Enable concurrent statistics gathering. Remember, this has to be done at the global level. Step 2. Enable incremental statistics for the 5 partitioned tables. Step 3. Create the DBMS_STATS.OBJECTTAB and pass it to the DBMS_STATS.GATHER_SCHEMA_STATS command. Here, you will notice that we defined two variables of DBMS_STATS.OBJECTTAB type. The first, filter_lst, will be used to pass the list of tables we want to gather statistics on, and will be the value passed to the obj_filter_list parameter. The second, obj_lst, will be used to capture the list of tables that have had statistics gathered on them by this command, and will be the value passed to the objlist parameter. In Oracle Database 11g Release 2, you need to specify the objlist parameter in order to get the obj_filter_list parameter to work correctly due to bug 14539274. Will also needed to define the number of objects we would supply in the obj_filter_list. In our case we ere specifying 5 tables (filter_lst.extend(5)). Finally, we need to specify the owner name and object name for each of the objects in the list. Once the list definition is complete we can issue the DBMS_STATS.GATHER_SCHEMA_STATS command. Step 4. Confirm statistics were gathered on the 5 partitioned tables. Here are a couple of other things to keep in mind when specifying the entries for the  obj_filter_list parameter. If a field in the entry is empty, i.e., null, it means there is no condition on this field. In the above example , suppose you remove the statement Obj_filter_lst(1).ownname := ‘SH’; You will get the same result since when you have specified gather_schema_stats so there is no need to further specify ownname in the obj_filter_lst. All of the names in the entry are normalized, i.e., uppercased if they are not double quoted. So in the above example, it is OK to use Obj_filter_lst(1).objname := ‘sales’;. However if you have a table called ‘MyTab’ instead of ‘MYTAB’, then you need to specify Obj_filter_lst(1).objname := ‘”MyTab”’; As I said before, although we have illustrated the usage of the obj_filter_list parameter for partitioned tables, with concurrent and incremental statistics gathering turned on, the obj_filter_list parameter is generally applicable to any gather_database_stats, gather_dictionary_stats and gather_schema_stats command. You can get a copy of the script I used to generate this post here. +Maria Colgan

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  • 3 Trends for SMBs around Social, Mobile, and Sensor

    - by Socially_Aware_Enterprise
    While I often am talking to big companies or discussing enterprise solutions. There are times when individuals ask me about Small or Medium sized business trends.  Interestingly,  the Enterprise Social, Mobile, and Sensor initiatives I regularly discuss are in fact related to even the Mom and Pop storefront. The eco-system of new service players in the Social-Mobile-Sensor space generally emerge developing partnerships with enterprises as they develop and bring economy to scale to their services for the larger market. And of course Oracle has an entire division dedicated for delivering products and support to help emerging companies compete without the need to open an industrial strength credit line.. So here are some trends that we are helping large enterprises to deploy today, but small and medium businesses should be able to take advantage of by the end of this year and starting into 2015. 1) The typical small business is generally "Localized". But the ability to be "Hyper-Localized" will come as location based services become ubiquitous. Many small businesses have one or several storefronts and theirs are typically within a single regional economic footprint. While the internet provides global reach, it will be the businesses that invest in social, mobile and local that will win in the end.  Of course I am a huge SoMoLo evangelist. The SMBs' content and targeting with platforms for Geo-Fencing, Geo-Conquesting and Path-Matching to HHI are all going to be accessible to them, if not for Mobile Apps, then via Mobile messaging in Social Networks that offer it.. Expect to be able to target FaceBook messaging not by city, but by store or mall… This makes being able to be "Hyper-Local" even more important. And with new proximity services coming online more than ever before, SMBs will operate and service customers with pinpoint accuracy right down to where they stand in an aisle. Geo-Conquesting will be huge for small players to place ads when customers pass through competitors regions. Car Dealers are doing this now.. But also of course iBeacons are now very cheap and getting easier to put in retail stores. The ability for sales to happen anywhere in the store via a mobile phone or tablet is huge, as it will give the small shop the flexibility to not have to "Guard the Register" as more or most transactions will be digital. Thus, M-Commerce and T-Commerce will change the job of cashier dramatically.. 2) Intra-Brand Advocacy, the idea now is that rather than just depend on your trusty social media manager and his team, you are going to push more and more individuals with expertise inside the organization to help manage, reach-out, and utilize social channels to manage the incoming questions and answers customers need. While for years CRM was the tool of the enterprise, today CRMs enable this now "Salesforce et al" capability to trickle throughout the company. This gives greater pressure to organize roles, but also flatten out the organization. Internal collaboration around topics and customer needs is going to be the key for SMBs to finally get serious about customer experiences. Their customers are online and in social networks. This includes not just B2C SMBs but also B2B companies as well. Don't believe me? To find the players just use hashtag #SocialSelling and you will see… 3) The Visual Networks will begin to move from Content Aggregators to Content Collaboration platforms, which means Pinterest, Instagram, Vine, & others will begin to move to add more features brands want, first marketing platforms, rather than unique brand partnerships as they do today, but this will open ways for SMBs to engage with clear brand messaging and metrics. Eventually providing more "Collaboration" between Brand and Consumer.. Don't think for a minute Facebook bought Oculus Rift so you could see your timeline in 3-D. The Social Networks I advise customers to invest in are ones that are audio and visual intrinsically. Players from SoundCloud to Pinterest are deploying ways for brands to harness their interactive visual or audio based social networks to sell ad units aka brand messaging. While the Social Media revolution is going on, the emphasis was on the social, today it more and more about the media in social, that enterprises soon small and medium businesses will be connected to. 

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  • Knowing your user is key--Part 1: Motivation

    - by erikanollwebb
    I was thinking where the best place to start in this blog would be and finally came back to a theme that I think is pretty critical--successful gamification in the enterprise comes down to knowing your user.  Lots of folks will say that gamification is about understanding that everyone is a gamer.  But at least in my org, that argument won't play for a lot of people.  Pun intentional.  It's not that I don't see the attraction to the idea--really, very few people play no games at all.  If they don't play video games, they might play solitaire on their computer.  They may play card games, or some type of sport.  Mario Herger has some great facts on how much game playing there is going on at his Enterprise-Gamification.com website. But at the end of the day, I can't sell that into my organization well.  We are Oracle.  We make big, serious software designed run your whole business.  We don't make Angry Birds out of your financial reporting tools.  So I stick with the argument that works better.  Gamification techniques are really just good principals of user experience packaged a little differently.  Feedback?  We already know feedback is important when using software.  Progress indicators?  Got that too.  Game mechanics may package things in a more explicit way but it's not really "new".  To know how to use game mechanics, and what a user experience team is important for, is totally understanding who our users are and what they are motivated by. For several years, I taught college psychology courses, including Motivation.  Motivation is generally broken down into intrinsic and extrinsic motivation.  There's intrinsic, which comes from within the individual.  And there's extrinsic, which comes from outside the individual.  Intrinsic motivation is that motivation that comes from just a general sense of pleasure in the doing of something.  For example, I like to cook.  I like to cook a lot.  The kind of cooking I think is just fun makes other people--people who don't like to cook--cringe.  Like the cake I made this week--the star-spangled rhapsody from The Cake Bible: two layers of meringue, two layers of genoise flavored with a raspberry eau de vie syrup, whipped cream with berries and a mousseline buttercream, also flavored with raspberry liqueur and topped with fresh raspberries and blueberries. I love cooking--I ask for cooking tools for my birthday and Christmas, I take classes like sushi making and knife skills for fun.  I like reading about you can make an emulsion of egg yolks, melted butter and lemon, cook slowly and transform them into a sauce hollandaise (my use of all the egg yolks that didn't go into the aforementioned cake).  And while it's nice when people like what I cook, I don't do it for that.  I do it because I think it's fun.  My former boss, Ultan Ó Broin, loves to fish in the sea off the coast of Ireland.  Not because he gets prizes for it, or awards, but because it's fun.  To quote a note he sent me today when I asked if having been recently ill kept him from the beginning of mackerel season, he told me he had already been out and said "I can fish when on a deathbed" (read more of Ultan's work, see his blogs on User Assistance and Translation.). That's not the kind of intensity you get about something you don't like to do.  I'm sure you can think of something you do just because you like it. So how does that relate to gamification?  Gamification in the enterprise space is about uncovering the game within work.  Gamification is about tapping into things people already find motivating.  But to do that, you need to know what that user is motivated by. Customer Relationship Management (CRM) is one of those areas where over-the-top gamification seems to work (not to plug a competitor in this space, but you can search on what Bunchball* has done with a company just a little north of us on 101 for the CRM crowd).  Sales people are naturally competitive and thrive on that plus recognition of their sales work.  You can use lots of game mechanics like leaderboards and challenges and scorecards with this type of user and they love it.  Show my whole org I'm leading in sales for the quarter?  Bring it on!  However, take the average accountant and show how much general ledger activity they have done in the last week and expose it to their whole org on a leaderboard and I think you'd see a lot of people looking for a new job.  Why?  Because in general, accountants aren't extraverts who thrive on competition in their work.  That doesn't mean there aren't game mechanics that would work for them, but they won't be the same game mechanics that work for sales people.  It's a different type of user and they are motivated by different things. To break this up, I'll stop here and post now.  I'll pick this thread up in the next post. Thoughts? Questions? *Disclosure: To my knowledge, Oracle has no relationship with Bunchball at this point in time.

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  • Right-Time Retail Part 1

    - by David Dorf
    This is the first in a three-part series. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Right-Time Revolution Technology enables some amazing feats in retail. I can order flowers for my wife while flying 30,000 feet in the air. I can order my groceries in the subway and have them delivered later that day. I can even see how clothes look on me without setting foot in a store. Who knew that a TV, diamond necklace, or even a car would someday be as easy to purchase as a candy bar? Can technology make a mattress an impulse item? Wake-up and your back is hurting, so you rollover and grab your iPad, then a new mattress is delivered the next day. Behind the scenes the many processes are being choreographed to make the sale happen. This includes moving data between systems with the least amount for friction, which in some cases is near real-time. But real-time isn’t appropriate for all the integrations. Think about what a completely real-time retailer would look like. A consumer grabs toothpaste off the shelf, and all systems are immediately notified so that the backroom clerk comes running out and pushes the consumer aside so he can replace the toothpaste on the shelf. Such a system is not only cost prohibitive, but it’s also very inefficient and ineffectual. Retailers must balance the realities of people, processes, and systems to find the right speed of execution. That’ what “right-time retail” means. Retailers used to sell during the day and count the money and restock at night, but global expansion and the Web have complicated that simplistic viewpoint. Our 24hr society demands not only access but also speed, which constantly pushes the boundaries of our IT systems. In the last twenty years, there have been three major technology advancements that have moved us closer to real-time systems. Networking is the first technology that drove the real-time trend. As systems became connected, it became easier to move data between them. In retail we no longer had to mail the daily business report back to corporate each day as the dial-up modem could transfer the data. That was soon replaced with trickle-polling, when sale transactions were occasionally sent from stores to corporate throughout the day, often through VSAT. Then we got terrestrial networks like DSL and Ethernet that allowed the constant stream of data between stores and corporate. When corporate could see the sales transactions coming from stores, it could better plan for replenishment and promotions. That drove the need for speed into the supply chain and merchandising, but for many years those systems were stymied by the huge volumes of data. Nordstrom has 150 million SKU/Store combinations when planning (RPAS); The Gap generates 110 million price changes during end-of-season (RPM); Argos does 1.78 billion calculations executed each day for replenishment planning (AIP). These areas are now being alleviated by the second technology, storage. The typical laptop disk drive runs at 5,400rpm with PCs stepping up to 7,200rpm and servers hitting 15,000rpm. But the platters can only spin so fast, so to squeeze more performance we’ve had to rely on things like disk striping. Then solid state drives (SSDs) were introduced and prices continue to drop. (Augmenting your harddrive with a SSD is the single best PC upgrade these days.) RAM continues to be expensive, but compressing data in memory has allowed more efficient use. So a few years back, Oracle decided to build a box that incorporated all these advancements to move us closer to real-time. This family of products, often categorized as engineered systems, combines the hardware and software so that they work together to provide better performance. How much better? If Exadata powered a 747, you’d go from New York to Paris in 42 minutes, and it would carry 5,000 passengers. If Exadata powered baseball, games would last only 18 minutes and Boston’s Fenway would hold 370,000 fans. The Exa-family enables processing more data in less time. So with faster networks and storage, that brings us to the third and final ingredient. If we continue to process data in traditional ways, we won’t be able to take advantage of the faster networks and storage. Enter what Harvard calls “The Sexiest Job of the 21st Century” – the data scientist. New technologies like the Hadoop-powered Oracle Big Data Appliance, Oracle Advanced Analytics, and Oracle Endeca Information Discovery change the way in which we organize data. These technologies allow us to extract actionable information from raw data at incredible speeds, often ad-hoc. So the foundation to support the real-time enterprise exists, but how does a retailer begin to take advantage? The most visible way is through real-time marketing, but I’ll save that for part 3 and instead begin with improved integrations for the assets you already have in part 2.

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  • Taking a Chomp out of a (Social Network) Product Hype

    - by kellsey.ruppel
    Andrew Kershaw, Senior Director Oracle Social Network Product Development, speaks about Oracle Social Network One of our competitors is being very aggressive with its own developed Social Network add-on, but there should be no doubt in the minds that the Oracle social capabilities available with Fusion CRM stack up well against it. Within the Oracle Cloud, we have announced a product called Oracle Social Network. That technology is pre-integrated into Fusion Applications, enabling your customer to build a collaborative and social enterprise (without all the noise!). Oracle Social Network is designed together with our Fusion Applications. It is very conveniently pre-integrated with CRM, HCM, Financials, Projects, Supply Chain, and the Fusion family. But what's even better is that the individual teams can take a considered approach to what they are trying to achieve within the collaboration process and the outcome they are trying to enable. Then they can utilize the network and collaboration tools to support that result. And there's more! The Fusion teams can design social interactions that bridge across and outside their individual product lines because we have more than just a product line and they know they have the social network to connect them. I know we have a superior product, but it is our ability to understand and execute across the enterprise that will enable us to deliver a much more robust and capable platform in the short term than our competitor can. We have built a product specifically designed for enterprise social collaboration which is not the same for the competition. We have delivered a much more effective solution - one in which individuals can easily collaborate to get results, while being confident that they know who has access to their information. Our platform has been pre-built to cross the company boundaries and enable our customers to collaborate, not just with their customers, but with their partners and suppliers as well. So Fusion addresses the combination of the enterprise application suite with enterprise collaboration and social networking. Oracle Social Network already has a feature function advantage over our competitor's tool providing a real added value to the employees. Plus Oracle has the ability to execute in a broad enterprise and cross-enterprise way that our competitors cannot. We have the power of a tool that provides the core social fabric across all of the applications, as well as supporting enterprise collaboration. That allows us to provide intelligent business insight, connections, and recommendations that our competitor simply can't. From our competitors, customers get integration for Sales; they get integration for Service, but then they have to integrate every other enterprise asset that they have by themselves. With Oracle, we are doing the integration. Fusion Applications will be pre-integrated, and over time, all of the applications in the business suite, including our Applications Unlimited and specialist industry applications, will connect to the Oracle Social Network. I'm confident these capabilities make Oracle Social Network the only collaboration platform on which to deliver the social enterprise.

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  • Database Partitioning and Multiple Data Source Considerations

    - by Jeffrey McDaniel
    With the release of P6 Reporting Database 3.0 partitioning was added as a feature to help with performance and data management.  Careful investigation of requirements should be conducting prior to installation to help improve overall performance throughout the lifecycle of the data warehouse, preventing future maintenance that would result in data loss. Before installation try to determine how many data sources and partitions will be required along with the ranges.  In P6 Reporting Database 3.0 any adjustments outside of defaults must be made in the scripts and changes will require new ETL runs for each data source.  Considerations: 1. Standard Edition or Enterprise Edition of Oracle Database.   If you aren't using Oracle Enterprise Edition Database; the partitioning feature is not available. Multiple Data sources are only supported on Enterprise Edition of Oracle   Database. 2. Number of Data source Ids for partitioning during configuration.   This setting will specify how many partitions will be allocated for tables containing data source information.  This setting requires some evaluation prior to installation as       there are repercussions if you don't estimate correctly.   For example, if you configured the software for only 2 data sources and the partition setting was set to 2, however along came a 3rd data source.  The necessary steps to  accommodate this change are as follows: a) By default, 3 partitions are configured in the Reporting Database scripts. Edit the create_star_tables_part.sql script located in <installation directory>\star\scripts   and search for partition.  You’ll see P1, P2, P3.  Add additional partitions and sub-partitions for P4 and so on. These will appear in several areas.  (See P6 Reporting Database 3.0 Installation and Configuration guide for more information on this and how to adjust partition ranges). b) Run starETL -r.  This will recreate each table with the new partition key.  The effect of this step is that all tables data will be lost except for history related tables.   c) Run starETL for each of the 3 data sources (with the data source # (starETL.bat "-s2" -as defined in P6 Reporting Database 3.0 Installation and Configuration guide) The best strategy for this setting is to overestimate based on possible growth.  If during implementation it is deemed that there are atleast 2 data sources with possibility for growth, it is a better idea to set this setting to 4 or 5, allowing room for the future and preventing a ‘start over’ scenario. 3. The Number of Partitions and the Number of Months per Partitions are not specific to multi-data source.  These settings work in accordance to a sub partition of larger tables with regard to time related data.  These settings are dataset specific for optimization.  The number of months per partition is self explanatory, optimally the smaller the partition, the better query performance so if the dataset has an extremely large number of spread/history records, a lower number of months is optimal.  Working in accordance with this setting is the number of partitions, this will determine how many "buckets" will be created per the number of months setting.  For example, if you kept the default for # of partitions of 3, and select 2 months for each partitions you would end up with: -1st partition, 2 months -2nd partition, 2 months -3rd partition, all the remaining records Therefore with records to this setting, it is important to analyze your source db spread ranges and history settings when determining the proper number of months per partition and number of partitions to optimize performance.  Also be aware the DBA will need to monitor when these partition ranges will fill up and when additional partitions will need to be added.  If you get to the final range partition and there are no additional range partitions all data will be included into the last partition. 

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  • ??Recovery Manager (RMAN)??

    - by ??
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RMAN???????????? RMAN???/?????????? ???????????? ????1487262.1???????????,?????RMAN??/????????4??????: ???? ???? ???? ??????? ???????????????,???????SQLPLUS???,???????????“DD-MON-RR HH24:MI:SS”???????,??????????? ??: SQL>spool monitor.out SQL>@monitor '06-aug-12 16:38:03' ?????RMAN???????????,?????????,?????? - ???????????????????,?????RMAN?????? ???????4??????????????? ???? ??DBA????????V$SESSION_LONGOPS???????????????????????,?????????????????? ??: SID CH CONTEXT SOFAR TOTALWORK % Complete --- -- ------- ------ ---------- ---------- 16 t1 1 181950 1186752 15.33 148 t2 1 249722 422400 59.12 ??: - ???????????????? - ??????????????? ???? ??????RMAN?????????????????????????????????????????????????????????Oracle???????????????????????? ??: SID CH SEQ# EVENT STATE SECONDS --- -- ---- --------------------------------- ------- ------- 16 t1 5735 RMAN backup & recovery I/O WAITING 10 143 8200 SQL*Net message from client WAITING 258.83 148 t2 7941 Backup: MML create a backup piece WAITING 196.13 ?????????T2???????????????,???????T2????????????????? ??: -?CH??????RMAN???,?Rman???????????,????????? -??SEQ#?????????,???????? -?????????,??????SEQ#???? -????????????????RMAN backup & recovery I/O'??????????????IO???? ???? ???????????????????????????????,???????backup_tape_io_slaves=TRUE,?????????????????? ??: SID CH STATUS OPEN_TIME SOFAR Mb TOTMB IO_COUNT % Complete TYPE FILENAME --- -- ----------- ------------------ -------- ------ ---------- -------- ------ ------------- 19 t1 FINISHED 02-aug-12 17:28:42 567.5 567.5 569 100.00 INPUT users01.dbf 19 t1 IN PROGRESS 02-aug-12 17:28:42 3489.99 8704 3490 40.10 INPUT sh.dbf 19 t1 IN PROGRESS 02-aug-12 17:28:42 3778 15113 OUTPUT kvnhlb22_1_1 20 t2 FINISHED 02-aug-12 17:28:38 740 740 742 100.00 INPUT system01.dbf 20 t2 FINISHED 02-aug-12 17:28:38 880 880 882 100.00 INPUT sysaux01.dbf 20 t2 FINISHED 02-aug-12 17:28:38 1680 1680 1682 100.00 INPUT undotbs01.dbf 20 t2 FINISHED 02-aug-12 17:28:38 3007.25 12029 OUTPUT l0nhlb23_1_1 ??: - ???????????????,??RMAN??????IO,??????????IO??,??(Document 360443.1 RMAN Backup Performance) - ?? IO_COUNT??????????? ??????? ?????,????????, ????????????v$backup_sync_io ?????????. ??: SID CH FILENAME TYPE STATUS BSZ BFC OPEN IO_COUNT --- -- ------------ ------ ----------- ------ --- ------------------ -------- 16 t1 ksnhla1b_1_1 OUTPUT IN PROGRESS 262144 4 02-aug-12 17:12:20 1092 148 t2 ktnhla1c_1_1 OUTPUT IN PROGRESS 262144 4 02-aug-12 17:12:15 2968 ??: -?????????????????,??RMAN??????IO -?? IO_COUNT?????????? -??IO_COUNT ????, ???IO_COUNT ????????????,???????????????,????????????? ????: ??????????????? Document 1487262.1 Script to monitor RMAN Backup and Restore Operations Document 144640.1   RMAN: Monitoring Recovery Manager Jobs Document 360443.1   RMAN Backup Performance Document 740911.1   RMAN Restore Performance ??,?????My Oracle Support Database Backup and Recovery community ?Oracle?????????????/??????

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