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  • Advantage Database Server: slow stored procedure performance.

    - by ie
    I have a question about a performance of stored procedures in the ADS. I created a simple database with the following structure: CREATE TABLE MainTable ( Id INTEGER PRIMARY KEY, Name VARCHAR(50), Value INTEGER ); CREATE UNIQUE INDEX MainTableName_UIX ON MainTable ( Name ); CREATE TABLE SubTable ( Id INTEGER PRIMARY KEY, MainId INTEGER, Name VARCHAR(50), Value INTEGER ); CREATE INDEX SubTableMainId_UIX ON SubTable ( MainId ); CREATE UNIQUE INDEX SubTableName_UIX ON SubTable ( Name ); CREATE PROCEDURE CreateItems ( MainName VARCHAR ( 20 ), SubName VARCHAR ( 20 ), MainValue INTEGER, SubValue INTEGER, MainId INTEGER OUTPUT, SubId INTEGER OUTPUT ) BEGIN DECLARE @MainName VARCHAR ( 20 ); DECLARE @SubName VARCHAR ( 20 ); DECLARE @MainValue INTEGER; DECLARE @SubValue INTEGER; DECLARE @MainId INTEGER; DECLARE @SubId INTEGER; @MainName = (SELECT MainName FROM __input); @SubName = (SELECT SubName FROM __input); @MainValue = (SELECT MainValue FROM __input); @SubValue = (SELECT SubValue FROM __input); @MainId = (SELECT MAX(Id)+1 FROM MainTable); @SubId = (SELECT MAX(Id)+1 FROM SubTable ); INSERT INTO MainTable (Id, Name, Value) VALUES (@MainId, @MainName, @MainValue); INSERT INTO SubTable (Id, Name, MainId, Value) VALUES (@SubId, @SubName, @MainId, @SubValue); INSERT INTO __output SELECT @MainId, @SubId FROM system.iota; END; CREATE PROCEDURE UpdateItems ( MainName VARCHAR ( 20 ), MainValue INTEGER, SubValue INTEGER ) BEGIN DECLARE @MainName VARCHAR ( 20 ); DECLARE @MainValue INTEGER; DECLARE @SubValue INTEGER; DECLARE @MainId INTEGER; @MainName = (SELECT MainName FROM __input); @MainValue = (SELECT MainValue FROM __input); @SubValue = (SELECT SubValue FROM __input); @MainId = (SELECT TOP 1 Id FROM MainTable WHERE Name = @MainName); UPDATE MainTable SET Value = @MainValue WHERE Id = @MainId; UPDATE SubTable SET Value = @SubValue WHERE MainId = @MainId; END; CREATE PROCEDURE SelectItems ( MainName VARCHAR ( 20 ), CalculatedValue INTEGER OUTPUT ) BEGIN DECLARE @MainName VARCHAR ( 20 ); @MainName = (SELECT MainName FROM __input); INSERT INTO __output SELECT m.Value * s.Value FROM MainTable m INNER JOIN SubTable s ON m.Id = s.MainId WHERE m.Name = @MainName; END; CREATE PROCEDURE DeleteItems ( MainName VARCHAR ( 20 ) ) BEGIN DECLARE @MainName VARCHAR ( 20 ); DECLARE @MainId INTEGER; @MainName = (SELECT MainName FROM __input); @MainId = (SELECT TOP 1 Id FROM MainTable WHERE Name = @MainName); DELETE FROM SubTable WHERE MainId = @MainId; DELETE FROM MainTable WHERE Id = @MainId; END; Actually, the problem I had - even so light stored procedures work very-very slow (about 50-150 ms) relatively to plain queries (0-5ms). To test the performance, I created a simple test (in F# using ADS ADO.NET provider): open System; open System.Data; open System.Diagnostics; open Advantage.Data.Provider; let mainName = "main name #"; let subName = "sub name #"; // INSERT let cmdTextScriptInsert = " DECLARE @MainId INTEGER; DECLARE @SubId INTEGER; @MainId = (SELECT MAX(Id)+1 FROM MainTable); @SubId = (SELECT MAX(Id)+1 FROM SubTable ); INSERT INTO MainTable (Id, Name, Value) VALUES (@MainId, :MainName, :MainValue); INSERT INTO SubTable (Id, Name, MainId, Value) VALUES (@SubId, :SubName, @MainId, :SubValue); SELECT @MainId, @SubId FROM system.iota;"; let cmdTextProcedureInsert = "CreateItems"; // UPDATE let cmdTextScriptUpdate = " DECLARE @MainId INTEGER; @MainId = (SELECT TOP 1 Id FROM MainTable WHERE Name = :MainName); UPDATE MainTable SET Value = :MainValue WHERE Id = @MainId; UPDATE SubTable SET Value = :SubValue WHERE MainId = @MainId;"; let cmdTextProcedureUpdate = "UpdateItems"; // SELECT let cmdTextScriptSelect = " SELECT m.Value * s.Value FROM MainTable m INNER JOIN SubTable s ON m.Id = s.MainId WHERE m.Name = :MainName;"; let cmdTextProcedureSelect = "SelectItems"; // DELETE let cmdTextScriptDelete = " DECLARE @MainId INTEGER; @MainId = (SELECT TOP 1 Id FROM MainTable WHERE Name = :MainName); DELETE FROM SubTable WHERE MainId = @MainId; DELETE FROM MainTable WHERE Id = @MainId;"; let cmdTextProcedureDelete = "DeleteItems"; let cnnStr = @"data source=D:\DB\test.add; ServerType=local; user id=adssys; password=***;"; let cnn = new AdsConnection(cnnStr); try cnn.Open(); let cmd = cnn.CreateCommand(); let parametrize ix prms = cmd.Parameters.Clear(); let addParam = function | "MainName" -> cmd.Parameters.Add(":MainName" , mainName + ix.ToString()) |> ignore; | "SubName" -> cmd.Parameters.Add(":SubName" , subName + ix.ToString() ) |> ignore; | "MainValue" -> cmd.Parameters.Add(":MainValue", ix * 3 ) |> ignore; | "SubValue" -> cmd.Parameters.Add(":SubValue" , ix * 7 ) |> ignore; | _ -> () prms |> List.iter addParam; let runTest testData = let (cmdType, cmdName, cmdText, cmdParams) = testData; let toPrefix cmdType cmdName = let prefix = match cmdType with | CommandType.StoredProcedure -> "Procedure-" | CommandType.Text -> "Script -" | _ -> "Unknown -" in prefix + cmdName; let stopWatch = new Stopwatch(); let runStep ix prms = parametrize ix prms; stopWatch.Start(); cmd.ExecuteNonQuery() |> ignore; stopWatch.Stop(); cmd.CommandText <- cmdText; cmd.CommandType <- cmdType; let startId = 1500; let count = 10; for id in startId .. startId+count do runStep id cmdParams; let elapsed = stopWatch.Elapsed; Console.WriteLine("Test '{0}' - total: {1}; per call: {2}ms", toPrefix cmdType cmdName, elapsed, Convert.ToInt32(elapsed.TotalMilliseconds)/count); let lst = [ (CommandType.Text, "Insert", cmdTextScriptInsert, ["MainName"; "SubName"; "MainValue"; "SubValue"]); (CommandType.Text, "Update", cmdTextScriptUpdate, ["MainName"; "MainValue"; "SubValue"]); (CommandType.Text, "Select", cmdTextScriptSelect, ["MainName"]); (CommandType.Text, "Delete", cmdTextScriptDelete, ["MainName"]) (CommandType.StoredProcedure, "Insert", cmdTextProcedureInsert, ["MainName"; "SubName"; "MainValue"; "SubValue"]); (CommandType.StoredProcedure, "Update", cmdTextProcedureUpdate, ["MainName"; "MainValue"; "SubValue"]); (CommandType.StoredProcedure, "Select", cmdTextProcedureSelect, ["MainName"]); (CommandType.StoredProcedure, "Delete", cmdTextProcedureDelete, ["MainName"])]; lst |> List.iter runTest; finally cnn.Close(); And I'm getting the following results: Test 'Script -Insert' - total: 00:00:00.0292841; per call: 2ms Test 'Script -Update' - total: 00:00:00.0056296; per call: 0ms Test 'Script -Select' - total: 00:00:00.0051738; per call: 0ms Test 'Script -Delete' - total: 00:00:00.0059258; per call: 0ms Test 'Procedure-Insert' - total: 00:00:01.2567146; per call: 125ms Test 'Procedure-Update' - total: 00:00:00.7442440; per call: 74ms Test 'Procedure-Select' - total: 00:00:00.5120446; per call: 51ms Test 'Procedure-Delete' - total: 00:00:01.0619165; per call: 106ms The situation with the remote server is much better, but still a great gap between plaqin queries and stored procedures: Test 'Script -Insert' - total: 00:00:00.0709299; per call: 7ms Test 'Script -Update' - total: 00:00:00.0161777; per call: 1ms Test 'Script -Select' - total: 00:00:00.0258113; per call: 2ms Test 'Script -Delete' - total: 00:00:00.0166242; per call: 1ms Test 'Procedure-Insert' - total: 00:00:00.5116138; per call: 51ms Test 'Procedure-Update' - total: 00:00:00.3802251; per call: 38ms Test 'Procedure-Select' - total: 00:00:00.1241245; per call: 12ms Test 'Procedure-Delete' - total: 00:00:00.4336334; per call: 43ms Is it any chance to improve the SP performance? Please advice. ADO.NET driver version - 9.10.2.9 Server version - 9.10.0.9 (ANSI - GERMAN, OEM - GERMAN) Thanks!

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  • archiving strategies and limitations of data in a table

    - by Samuel
    Environment: Jboss, Mysql, JPA, Hibernate Our web application will be catering to a large amount of users (~ 1,000,000) and there are a lots of child table where user specific data are stored (e.g. personal, health, forum contributions ...). What would be the best practice to archive user & user specific information. [a] Would it be wise to move the archived user & user specific information to their respective tables within the same database (e.g. user_archive, user_forum_comments_archive ...) OR [b] Would you just mark the database entries with a flag in the original table(s) and just query only non archived entries. We have a unique constraint on User.loginid, how do you handle this requirement if the users are archived via 1-[a] (i.e if a user with loginid 'samuel' gets moved into the archive table and if a new user gets added with the same name in the original table, how would you prevent this. What would be the best strategy to address the unique key constraints. We have a requirement to selectively archive records and bring it back if necessary, will you rely on database tools are would you handle this via your persistence APIs exposed by the JPA entity model.

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  • Are bad data issues that common?

    - by Water Cooler v2
    I've worked for clients that had a large number of distinct, small to mid-sized projects, each interacting with each other via properly defined interfaces to share data, but not reading and writing to the same database. Each had their own separate database, their own cache, their own file servers/system that they had dedicated access to, and so they never caused any problems. One of these clients is a mobile content vendor, so they're lucky in a way that they do not have to face the same problems that everyday business applications do. They can create all those separate compartments where their components happily live in isolation of the others. However, for many business applications, this is not possible. I've worked with a few clients, one of whose applications I am doing the production support for, where there are "bad data issues" on an hourly basis. Yeah, it's that crazy. Some data records from one of the instances (lower than production, of course) would have been run a couple of weeks ago, and caused some other user's data to get corrupted. And then, a data script will have to be written to fix this issue. And I've seen this happening so much with this client that I have to ask. I've seen this happening at a moderate rate with other clients, but this one just seems to be out of order. If you're working with business applications that share a large amount of data by reading and writing to/from the same database, are "bad data issues" that common in your environment?

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  • What permissions do I need to run SQL*Loader?

    - by Jason Baker
    What permissions does a database user need to be able to run oracle's sql loader? For instance, since sql loader will disable indexes and triggers, does it need ALTER permissions for those items? This seems like a simple question, but I can't find any documentation on this in the manual.

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  • javax.naming.InvalidNameException using Oracle BPM and weblogic when accessing directory

    - by alfredozn
    We are getting this exception when we start our cluster (2 managed servers, 1 admin), we have deployed only the ears corresponding to the OBPM 10.3.1 SP1 in a weblogic 10.3. When the server cluster starts, one of the managed servers (the first to start) get overloaded and ran out of connections to the directory DB because of this repeatedly error. It looks like the engine is trying to get the info from the LDAP server but I don't know why it is building a wrong query. fuego.directory.DirectoryRuntimeException: Exception [javax.naming.InvalidNameException: CN=Alvarez Guerrero Bernardo DEL:ca9ef28d-3b94-4e8f-a6bd-8c880bb3791b,CN=Deleted Objects,DC=corp: [LDAP: error code 34 - 0000208F: NameErr: DSID-031001BA, problem 2006 (BAD_NAME), data 8349, best match of: 'CN=Alvarez Guerrero Bernardo DEL:ca9ef28d-3b94-4e8f-a6bd-8c880bb3791b,CN=Deleted Objects,DC=corp,dc=televisa,dc=com,dc=mx' ^@]; remaining name 'CN=Alvarez Guerrero Bernardo DEL:ca9ef28d-3b94-4e8f-a6bd-8c880bb3791b,CN=Deleted Objects,DC=corp']. at fuego.directory.DirectoryRuntimeException.wrapException(DirectoryRuntimeException.java:85) at fuego.directory.hybrid.ldap.JNDIQueryExecutor.selectById(JNDIQueryExecutor.java:163) at fuego.directory.hybrid.ldap.JNDIQueryExecutor.selectById(JNDIQueryExecutor.java:110) at fuego.directory.hybrid.ldap.Repository.selectById(Repository.java:38) at fuego.directory.hybrid.msad.MSADGroupValueProvider.getAssignedParticipantsInternal(MSADGroupValueProvider.java:124) at fuego.directory.hybrid.msad.MSADGroupValueProvider.getAssignedParticipants(MSADGroupValueProvider.java:70) at fuego.directory.hybrid.ldap.Group$7.getValue(Group.java:149) at fuego.directory.hybrid.ldap.Group$7.getValue(Group.java:152) at fuego.directory.hybrid.ldap.LDAPResult.getValue(LDAPResult.java:76) at fuego.directory.hybrid.ldap.LDAPOrganizationGroupAccessor.setInfo(LDAPOrganizationGroupAccessor.java:352) at fuego.directory.hybrid.ldap.LDAPOrganizationGroupAccessor.build(LDAPOrganizationGroupAccessor.java:121) at fuego.directory.hybrid.ldap.LDAPOrganizationGroupAccessor.build(LDAPOrganizationGroupAccessor.java:114) at fuego.directory.hybrid.ldap.LDAPOrganizationGroupAccessor.fetchGroup(LDAPOrganizationGroupAccessor.java:94) at fuego.directory.hybrid.HybridGroupAccessor.fetchGroup(HybridGroupAccessor.java:146) at sun.reflect.GeneratedMethodAccessor66.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at fuego.directory.provider.DirectorySessionImpl$AccessorProxy.invoke(DirectorySessionImpl.java:756) at $Proxy66.fetchGroup(Unknown Source) at fuego.directory.DirOrganizationalGroup.fetch(DirOrganizationalGroup.java:275) at fuego.metadata.GroupManager.loadGroup(GroupManager.java:225) at fuego.metadata.GroupManager.find(GroupManager.java:57) at fuego.metadata.ParticipantManager.addNestedGroups(ParticipantManager.java:621) at fuego.metadata.ParticipantManager.buildCompleteRoleAssignments(ParticipantManager.java:527) at fuego.metadata.Participant$RoleTransitiveClousure.build(Participant.java:760) at fuego.metadata.Participant$RoleTransitiveClousure.access$100(Participant.java:692) at fuego.metadata.Participant.buildRoles(Participant.java:401) at fuego.metadata.Participant.updateMembers(Participant.java:372) at fuego.metadata.Participant.<init>(Participant.java:64) at fuego.metadata.Participant.createUncacheParticipant(Participant.java:84) at fuego.server.persistence.jdbc.JdbcProcessInstancePersMgr.loadItems(JdbcProcessInstancePersMgr.java:1706) at fuego.server.persistence.Persistence.loadInstanceItems(Persistence.java:838) at fuego.server.AbstractInstanceService.readInstance(AbstractInstanceService.java:791) at fuego.ejbengine.EJBInstanceService.getLockedROImpl(EJBInstanceService.java:218) at fuego.server.AbstractInstanceService.getLockedROImpl(AbstractInstanceService.java:892) at fuego.server.AbstractInstanceService.getLockedImpl(AbstractInstanceService.java:743) at fuego.server.AbstractInstanceService.getLockedImpl(AbstractInstanceService.java:730) at fuego.server.AbstractInstanceService.getLocked(AbstractInstanceService.java:144) at fuego.server.AbstractInstanceService.getLocked(AbstractInstanceService.java:162) at fuego.server.AbstractInstanceService.unselectAllItems(AbstractInstanceService.java:454) at fuego.server.execution.ToDoItemUnselect.execute(ToDoItemUnselect.java:105) at fuego.server.execution.DefaultEngineExecution$AtomicExecutionTA.runTransaction(DefaultEngineExecution.java:304) at fuego.transaction.TransactionAction.startNestedTransaction(TransactionAction.java:527) at fuego.transaction.TransactionAction.startTransaction(TransactionAction.java:548) at fuego.transaction.TransactionAction.start(TransactionAction.java:212) at fuego.server.execution.DefaultEngineExecution.executeImmediate(DefaultEngineExecution.java:123) at fuego.server.execution.DefaultEngineExecution.executeAutomaticWork(DefaultEngineExecution.java:62) at fuego.server.execution.EngineExecution.executeAutomaticWork(EngineExecution.java:42) at fuego.server.execution.ToDoItem.executeAutomaticWork(ToDoItem.java:261) at fuego.ejbengine.ItemExecutionBean$1.execute(ItemExecutionBean.java:223) at fuego.server.execution.DefaultEngineExecution$AtomicExecutionTA.runTransaction(DefaultEngineExecution.java:304) at fuego.transaction.TransactionAction.startBaseTransaction(TransactionAction.java:470) at fuego.transaction.TransactionAction.startTransaction(TransactionAction.java:551) at fuego.transaction.TransactionAction.start(TransactionAction.java:212) at fuego.server.execution.DefaultEngineExecution.executeImmediate(DefaultEngineExecution.java:123) at fuego.server.execution.EngineExecution.executeImmediate(EngineExecution.java:66) at fuego.ejbengine.ItemExecutionBean.processMessage(ItemExecutionBean.java:209) at fuego.ejbengine.ItemExecutionBean.onMessage(ItemExecutionBean.java:120) at weblogic.ejb.container.internal.MDListener.execute(MDListener.java:466) at weblogic.ejb.container.internal.MDListener.transactionalOnMessage(MDListener.java:371) at weblogic.ejb.container.internal.MDListener.onMessage(MDListener.java:327) at weblogic.jms.client.JMSSession.onMessage(JMSSession.java:4547) at weblogic.jms.client.JMSSession.execute(JMSSession.java:4233) at weblogic.jms.client.JMSSession.executeMessage(JMSSession.java:3709) at weblogic.jms.client.JMSSession.access$000(JMSSession.java:114) at weblogic.jms.client.JMSSession$UseForRunnable.run(JMSSession.java:5058) at weblogic.work.SelfTuningWorkManagerImpl$WorkAdapterImpl.run(SelfTuningWorkManagerImpl.java:516) at weblogic.work.ExecuteThread.execute(ExecuteThread.java:201) at weblogic.work.ExecuteThread.run(ExecuteThread.java:173) Caused by: javax.naming.InvalidNameException: CN=Alvarez Guerrero Bernardo DEL:ca9ef28d-3b94-4e8f-a6bd-8c880bb3791b,CN=Deleted Objects,DC=corp: [LDAP: error code 34 - 0000208F: NameErr: DSID-031001BA, problem 2006 (BAD_NAME), data 8349, best match of: 'CN=Alvarez Guerrero Bernardo DEL:ca9ef28d-3b94-4e8f-a6bd-8c880bb3791b,CN=Deleted Objects,DC=corp,dc=televisa,dc=com,dc=mx' ^@]; remaining name 'CN=Alvarez Guerrero Bernardo DEL:ca9ef28d-3b94-4e8f-a6bd-8c880bb3791b,CN=Deleted Objects,DC=corp' at com.sun.jndi.ldap.LdapCtx.processReturnCode(LdapCtx.java:2979) at com.sun.jndi.ldap.LdapCtx.processReturnCode(LdapCtx.java:2794) at com.sun.jndi.ldap.LdapCtx.searchAux(LdapCtx.java:1826) at com.sun.jndi.ldap.LdapCtx.c_search(LdapCtx.java:1749) at com.sun.jndi.toolkit.ctx.ComponentDirContext.p_search(ComponentDirContext.java:368) at com.sun.jndi.toolkit.ctx.PartialCompositeDirContext.search(PartialCompositeDirContext.java:338) at com.sun.jndi.toolkit.ctx.PartialCompositeDirContext.search(PartialCompositeDirContext.java:321) at javax.naming.directory.InitialDirContext.search(InitialDirContext.java:248) at fuego.jndi.FaultTolerantLdapContext.search(FaultTolerantLdapContext.java:612) at fuego.directory.hybrid.ldap.JNDIQueryExecutor.selectById(JNDIQueryExecutor.java:136) ... 67 more

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  • Export and import a PostgreSQL database with a different name?

    - by J. Pablo Fernández
    Is there a way to export a PostgreSQL database and later import it with another name? I'm using PostgreSQL with Rails and I often export the data from production, where the database is called blah_production and import it on development or staging with names blah_development and blah_staging. On MySQL this is trivial as the export doesn't have the database anywhere (except a comment maybe), but on PostgreSQL it seems to be impossible. Is it impossible? I've seen out there some people using sed scripts to modify the dump. I'd like to avoid that solution but if there are no alternative I'll take it. Has anybody wrote a script to alter the dump's database name ensure no data is ever altered?

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  • pl/sql Oracle syntax

    - by Paul
    I have a query in pl/sql that i need to migrate to ms sql. select count(*) from table1 t1 where (conditions1) and (conditions2) and variable = t1.column1(+) Could anyone tell me what the (+) after the column means ? (is it sort of a sum ?)

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  • What are the pros of switching DNS names with a database server hardware upgrade?

    - by wilbbe01
    When we upgrade to new hardware at work we usually increment a number in the DNS name. For example. We have a server called database-2, that is slated to become database-3 in the coming days. I haven't been able to find a good reason why this is good behavior. To me the work of trying to catch all end user machines, as well as all servers dependent on the database server is far riskier than simply moving the database and ip/name with it to the new hardware. A little over a year ago we spent several months of requests coming in, as infrequent users began using software that needed to be updated to point to a new DNS name. I am struggling to find answers as to why this is a good practice. So the question. Why is using DNS names as a "server hardware version identifier" a good idea? What am I overlooking? Thanks much.

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  • Begin the Clone Wars Have!

    - by Antony Reynolds
    Creating a New Virtual Machine from an Existing Virtual Disk In previous posts I described how I set up an OEL6 machine under VirtualBox that can run an 11gR2 database and FMW 11.1.1.5.  That is great if you want the DB and FMW running in the same virtual image and it has served me well for some proof of concepts and also for some testing of different JVMs.  However I also wanted to run some testing of FMW with the database running on a separate physical machine.  So in this post I will show how to take a VirtualBox image and create a new image based on the disks from that original image. What are my Options? There is more than one way to skin a cat, or in this case to create two separate VMs that can run on different hardware.  Some of the options include: Create new virtual disk images for each new VM. Clone the existing disk images and point the new VM at the cloned images. Point the new VM at the existing snapshots. #1 is too much like hard work, install OEL twice, install a database again, install FMW again, run RCU again!  Life is too short! #2 is probably the safest way of doing things.  VirtualBox allows you to clone a disk image for use in a separate machine.  However this of course duplicates the disk and means that it is now occupying 3 times the space, once for the original disk and twice more for the two clones I would need. #3 is the most space efficient way of doing things.  It does mean however that I can only run the new “cloned” images if I have access to the original image because that is where the base snapshots reside.  However this is not a problem for me as long as I remember to keep all threee images together.  So this is the approach we will follow. Snapshot, What Snapshot? As we are going to create new virtual machines based on existing snapshots we need to figure out which snapshot to use.  We do this by opening the “Media Manager” from within VirtualBox and moving the mouse over the snapshot images until we find the snapshots we want – the snapshot name is identified in the “Attached to:” comment.  In my case I wanted the FMW installed snapshot because that had a database configured for FMW alongside the FMW software.  I made a note of the filename of that snapshot (actually I just noted the first 5 characters as that was all that was needed to uniquely identify the snapshot file). When we create the new machines we will point them at the snapshot filename we have just checked. Network or NotWork? Because we want the two new machines to communicate with each other when hosted in different physical machines we can’t use the default NAT networking mode without a lot of hassle.  But at the same time we need them to have fixed IP addresses relative to each other so that they can see each other whilst also being able to see the outside world. To achieve all these requirements I created two network adapters for each machine.  Adapter 1 was a standard NAT mapping.  This will allow each machine to get a dynamic IP address (10.0.2.15 by default) that can be used to access the external world through the VBox provided NAT gateway.  This is the same as the existing configuration. The second adapter I created as a bridged adapter.  This gives the virtual machine direct access to the host network card and by using fixed IP addresses each machine can see the other.  It is important to choose fixed IP addresses that are not routable across your internal network so you don’t get any clashes with other machines on your network.  Of course you could always get proper fixed IP addresses from your network people, but I have serveral people using my images and as long as I don’t have two instances of the same VM on the same network segment this is easier and avoids reconfiguring the network every time someone wants a copy of my VM.  If it is available I would suggest using the 10.0.3.* network as 10.0.2.* is the default NAT network.  You can check availability by pinging 10.0.3.1 and 10.0.3.2 from your host machine.  If it times out then you are probably safe to use that. Creating the New VMs Now that I had collected the data that I needed I went ahead and created the new VMs. When asked for a “Boot Hard Disk” I used the “Choose a virtual hard disk file…” link to find the snapshot I had previously selected and set that to be the existing hard disk.  I chose the previously existing SOA 11.1.1.5 install for both the new DB and FMW machines because that snapshot had the database with the RCU completed that I wanted for my DB machine and it had the SOA software installed which I wanted for my FMW machine. After the initial creation of the virtual machine go into the network setting section and enable a second adapter which will be bridged.  Make a note of the MAC addresses (the last four digits should be sufficient) of the two adapters so that you can later set the bridged adapter to use fixed IP and the NAT adapter to use DHCP. We are now ready to start the VMs and reconfigure Linux. Reconfiguring Linux Because I now have two new machines I need to change their network configuration.  In particular I need to change the hostname, update the hosts file and change the network settings. Changing the Hostname I renamed both hosts by running the hostname command as root: hostname vboxfmw.oracle.com I also edited the /etc/sysconfig file and set the correct hostname in there. HOSTNAME=vboxfmw.oracle.com Changing the Network Settings I needed to change the network configuration to give the bridged network a fixed IP address.  I first explicitly set the MAC addresses of the two adapters, because the order of the virtual adapters in the VirtualBox Manager is not necessarily the same as the order of the adapters in the guest OS.  So I went in to the System->Preferences->Network Connections screen and explicitly set the “Device MAC address” for the two adapters. Having correctly mapped the Linux adapters to the VirtualBox adapters I then set the Bridged adapter to use fixed IP addressing rather than DHCP.  There is no need for additional routing or default gateways because we expect the two machine to be on the same LAN segment. Updating the Hosts File Having renamed the machines and reconfigured the network I then updated the /etc/hosts file to refer to the new machine name add a new line to the hosts file to provide an additional IP address for my server (the new fixed IP address) add a new line for the fixed IP address of the other virtual machine 10.0.3.101      vboxdb.oracle.com       vboxdb  # Added by NetworkManager 10.0.2.15       vboxdb.oracle.com       vboxdb  # Added by NetworkManager 10.0.3.102      vboxfmw.oracle.com      vboxfmw # Added by NetworkManager 127.0.0.1       localhost.localdomain   localhost ::1     vboxdb.oracle.com       vboxdb  localhost6.localdomain6 localhost6 To make sure everything takes effect I restarted the server. Reconfiguring the Database on the DB Machine Because we changed the hostname the listener and the EM console no longer start so I need to modify the listener.ora to use the new hostname and I also need to rebuild the EM configuration because it also relies on the hostname. I edited the $ORACLE_HOME/network/admin/listener.ora and changed the listening address to the new hostname:       (ADDRESS = (PROTOCOL = TCP)(HOST = vboxdb.oracle.com)(PORT = 1521)) After changing the listener.ora I was able to start the listener using: lsnrctl start I also had to reconfigure the EM database control.  I first deconfigured it using the command: emca -deconfig dbcontrol db -repos drop This drops the repository and removes any existing registered dbcontrols. I then re-configured it using the following command: emca -config dbcontrol db -repos create This creates the EM repository and then configures and starts dbcontrol. Now my database machine is ready so I can close it down and take a snapshot. Disabling the Database on the FMW Machine I set up the database to start automatically by creating a service called “dbora”.  On the FMW machine I do not need the database running so I can prevent it auto-starting by running the following command: chkconfig –del dbora Note that because I am using a snapshot it is not a waste of disk space to have the DB installed but not used.  As long as I don’t run it, it won’t cost me anything. I can now close the FMW machine down and take a snapshot. Creating a New Domain The FMW machine is now ready to create a new domain.  When creating the domain I can point it at the second machine which is running the database.  I can potentially run these machines on two separate physical machines as long as I have the original virtual machine available to both of the physical machines. Gotchas in Snapshotting VirtualBox does not support the concept of linked machines in a network like some virtualization technologies so when creating a snapshot it is a good idea to shut both VMs down and then take a snapshot on both of them.  This is because we want to keep the database in sync with the middleware.  One way to make sure that this happens would be to place all the domain configuration files on the database server via an NFS share, this would mean that all we would need to snapshot would be the database machine because that would hold all the state and configuration. The Sky’s the Limit We have covered a simple case of having just two machines.  I have a more complicated configuration in which two machine run a RAC database off the same base OS image, and two more machines run a SOA cluster based on the same OS image.  Just remember what machine holds state and what are the consequences of taking a snapshot.

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  • Yay! Oracle Solaris 11.1 Is Here!

    - by rickramsey
    Even the critters are happy. This is no cosmetic release. It's got TONS of new stuff for both system admins and system developers. In the coming weeks and months I'll highlight specific new capabilities, but for now, here are a few resources to get you started. What's New (pdf) Describes enhancements for sysadmins in: Installation System configuration Virtualization Security and Compliance Networking Data management Kernel/platform support Network drivers User environment And for system developers: Preflight Applications Checker Oracle ExaStack Labs (available to Oracle Partner Network Gold-level members for application certification) Oracle Solaris Studio Integrated Java Virtual Machine (JVM): Updates are now managed using the Image Packaging System (IPS) Migration guides and technology mapping tables for AIX, HP-UX and Red Hat Linux: Download Free downloads for SPARC and x86 are available, along with instructions and tips for using the new repositories and Image Packaging System. Tech Article: How to Upgrade to Oracle Solaris 11.1 You can upgrade using either Oracle's official Solaris release repository or, if you have a support contract, the Support repository. Peter Dennis explains how. Documentation Superbly written instructions from our dedicated cadre of world-renowned but woefully underpaid technical writers: Getting Started Installing, Booting, and Updating Establishing an Oracle Solaris Network Administering Essential Features Administering Network Services Securing the Operating System Monitoring and Tuning Creating and Using Virtual Environments Working with the Desktop Developing Applications Reference Manuals And more Training And don't forget the new online training courses from Oracle University! I really liked them. Here are my first and second impressions. Website Newsletter Facebook Twitter

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  • WebCenter Marketing and Upcoming Events

    - by rituchhibber
    Events: Events: Date Event Name Location/Country October 30, 2012 ResCare Solves Content Lifecycle Challenges with Oracle WebCenter Webcast November 1, 2012 Paper Burying Your HR Processes? Dig Your Way Out With Oracle WebCenter! Webcast November 15, 2012 Social Business Thought Leader Webcast: Three Ways to Fix Your Broken Organization, featuring Christian Finn Webcast Marketing: Marketing: WebCenter Sites Sales eVite:Embrace the Base: Create an Exceptional Online Customer Experience with Oracle WebCenter Sites Directs recipients to the Connected Customer Experience Resource Center to see the latest demos, analyst reports, and customer webcasts promoting WebCenter Sites. For more information Click  here. WebCenter Social Business Thought Leaders Series: Digital Darwinism: How Brands Can Survive the Rapid Evolution of Society and TechnologyBrian Solis, Altimeter Group digital analyst and futuristDecember 13, 2012 10am PDTRegistration available soon, find other content from this speaker here. Webcast: WebCenter Sites for Applications: Disconnected Online Customer Experience? Connect it with Oracle WebCenter November 8, 2012  eVite | Registration Page WebCenter in Action Customer & Partner webcast series: Started earlier in FY13, a new webcast series featuring WebCenter customer deployments that are executed by a partner.The next webcast in the series will be November 14th:Los Angeles Department of Building & Safety Lowers Customer Service Costs with Oracle WebCenter Click here to learn more. OnDemand Webcast: ResCare Solves Content Lifecycle Challenges with Oracle WebCenterComplex documents must be created, assembled, reviewed, and tracked. To avoid fragmented, chaotic information processes, organizations must adopt an integrated set of strategies, standards, best practices, and technologies for managing information. Attend this webcast to learn how Oracle WebCenter has allowed ResCare to: solve content lifecycle challenges, reduce compliance and business risks and increase adoption of intranet as primary business communication tool. On-Demand Assets Date Event Name Location/Country On Demand Avoid Social Media Fatigue - Learn the 9 C’s of Customer Engagement, featuring Ray Wang, Principal Analyst and CEO, Constellation Research Webcast On Demand WebCenter in Action Series: Hitachi Data Systems Improves Global Web Experience with Oracle WebCenter, presented by Hitachi Data Systems and Lingotek. Webcast On Demand Managing Social Relationships for the Enterprise, featuring Jeremiah Owyang, Industry Analyst, Altimeter Group and Reggie Bradford, Vice President, Oracle Webcast On Demand Oracle’s Vision for the Social-Enabled Enterprise, presented by Mark Hurd, Thomas Kurian and Reggie Bradford Webcast On Demand WebCenter in Action Series: Qualcomm Provides a Seamless Experience for Customers with Oracle WebCenter, presented by Qualcomm and Keste. Webcast On Demand Social Business Thought Leaders Series: 6 Counterintuitive Best Practices for Social Collaboration Adoption, featuring John Brunswick, Oracle. Webcast On Demand Oracle WebCenter Connects Patients and Researchers in Cancer Control Mission, presented by Canadian Partnership Against Cancer and App-Systems Webcast On Demand Oracle WebCenter: Modernize, Aggregate and Extend Your Portals Webcast On Demand Top 10 Technology Trends Driving Business Innovation, featuring Andy Mulholland, CTO, Capgemini Webcast On Demand Ancestry.com Helps Families Uncover History with Oracl e WebCenter Webcast On Demand Organic Business Networks: Doing Business in a Hyper-Connected World, featuring Mike Fauscette, GVP, IDC Webcast On Demand Social Business and Innovation, featuring John Mancini, President, AIIM Webcast On Demand Do More with Oracle WebCenter: Expand Beyond Web Experience Management Webcast On Demand Race Against the Machine, featuring Andrew McAfee, author and principal scientist at MIT Webcast On Demand Introducing Oracle WebCenter Sites 11gR1: Transforming the Online Experience Webcast On Demand Mobile is the New Face of Engagement, featuring Ted Schadler, Vice President & Principal Analyst, Forrester Research Inc Webcast Analyst Report: IDC Research: Oracle Debuts New Release of Oracle WebCenter Sites.

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  • Az Oracle üzleti intelligencia csomag Windows Server 2008-on is, a kliens Vista op.rsz-en is

    - by Fekete Zoltán
    Tegnap az Oracle BI Hands On rendezvényen felmerült a kérdés, hogy az Oracle Business Intelligence Enterprise Editon fut-e Windows Server 2008-on. A válasz: IGEN. Az Oracle BI EE fut a Windows Server 2008-on. Emellett a másik kérdésre a válasz: IGEN, a kliens lehet Windows Vista is. Mivel az Oracle BI szerver szoftver, amit egy böngészovel érnek el a felhasználók elemzési, lekérdezés/jelentés/riport- készítési feladatok elvégzésére, ezért az Oracle BI csak szerver operációs rendszerekre van bevizsgálva: Linux, Solaris, HP-UX, AIX és Windows platformokon. A jelenleg támogatott operációs rendszerek: Microsoft Windows 2000/2003 Server; Microsoft Windows Server 2008 Enterprise Edition x86 32 bit2 - Red Hat Enterprise Linux AS 4.x; Red Hat Enterprise Linux Server/Advanced Platform 5 - Novell SUSE 9.x - Oracle Enterprise Linux 4; Oracle Enterprise Linux 5 - Sun Solaris 9 SPARC 32 bit ; Sun Solaris 9 SPARC 64 bit; Sun Solaris 10 SPARC 32 bit; Sun Solaris 10 SPARC 64 bit - AIX 5.2 PowerPC 32 bit; AIX 5.2 PowerPC 64 bit; AIX 5.3 PowerPC 32 bit; AIX 5.3 PowerPC 64 bit; AIX 6.1 PowerPC 32 bit; AIX 6.1 PowerPC 64 bit - HP-UX 11.11 PA-RISC 64 bit; HP-UX 11.23 PA-RISC 64 bit; HP-UX 11.23 Itanium 64 bit; HP-UX 11.31 Itanium 64 bit A böngészos hozzáférést az irányítópultokhoz (dashboard), interaktív elemzo munkához használható operációs rendszerek: Windows, Vista, Linux, Solaris, Apple Mac OS 10.x.

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  • Thoughts on ODTUG Kscope12

    - by thatjeffsmith
    The rodeo rocked! This wasn’t my first rodeo, and it wasn’t my first Kscope, but it was probably my favorite one. What is Kscope? It’s the annual conference for the Oracle Development Tools User Group. 1,000+ attendees from 20+ countries with an average Jeff Klout score of 65. I just made that metric and score up, but this conference attracts the best and brightest in the Oracle database space. I’m not just talking about the speakers either. The attendees are all top notch. They actively participate in sessions, make an effort to get to know their fellow conference mates, and often turn into volunteers and speakers. Developers that enjoy unit testing, understand the importance of modeling your data, and are eager to understand the Oracle CBO – these are traits that describe the ‘average’ ODTUG developer. 2012′s event was held in San Antonio. Yes, it was very hot. But this might have been the nicest Marriott property I’ve ever visited, and I’ve stayed at some nice ones in Hawaii and St. Thomas. They had free WiFi everywhere – the rooms, the Conference Center, the lobby, bars, everywhere. And it worked. The after hours events were very fun. I embarrassed myself several times, but that’s OK. The rodeo was an awesome event and the Thirsty Games experience was something I hope does not make it onto YouTube or Facebook — talking to you Chet Justice. I finally got to meet and spend some time with some folks I’ve always wanted to get to know better, @timothyjgorman, @alexgorbachev, @lj_dobson, @dschleis, @kentGraziano, @chriscmuir, @GaloBalda, @patch72, and many, many more! I even made some new friends thanks to the Mentor program and @carol_finn. 2013′s event will be in New Orleans. If you haven’t joined ODTUG or haven’t made it to Kscope, go ahead and mark your calendars. I had 3 presentations this year. Sunday’s was not a good performance, and I want to apologize to anyone who was there and was hoping for more. My Tips and Debugging sessions on Monday and Tuesday were more to my liking, and I enjoyed them as a presenter. I hope you enjoyed them as an attendee. I understand that my slidedecks were corrupted on the ODTUG site, and I’m working with the coordinator now to get those fixed ASAP. Apparently the 2 most well-received Tips was the /*CSV*/ formatting hint and recalling your previous SQL history via the keyboard. I’ll be doing a follow-up webinar with ODTUG in a few weeks for those members that weren’t able to see my Tips and Debugger sessions in San Antonio. I’ll be sure to post details on that here when I have the details. My next scheduled conference is Oracle Open World, and I may have a couple of shows after that to round out 2012.

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  • From Oracle PL/SQL Developer to Java programmer - Is it a good decision? [on hold]

    - by user3554231
    I will explain my question in simple words. I have little over 1 year experience in Oracle. My dream is to be "called" as a 'Developer', be it database developer if not software developer. But right now I don't develop anything neither I am in good touch with PL/SQL and other Oracle Utilites like SQL*LOADER, shell scripting and stuff like that as I am only a System Analyst where I analyze and configure database using SQL queries. To be honest, I know very basic PL/SQL and good knowledge in SQL but that won't ever give me a chance to be a developer as I am lagging way behind the "real" developers knowledge. Now I feel I should learn JAVA as well so that I can cope up with the competition. But I am too scared to learn new things as it will take much more time which will indirectly increase my useless work experince(just analyzing) which values nothing in todays market. Moreover that, I am too lazy to work hard i.e. to study and not to work during office hours. To sum it up I am lazy and confused and scared but I want to learn things as well but don't know if I am intelligent enough to learn whole of PL/SQL or to master any other language. Is there any other way from which I can feel confident? Actually I even feel sometimes that after 2-3 years if I still don't achieve my goal, I won't ever be able to reach my destination. I just want to live my dream of being a developer. Give me some tips and hopes but not false hopes.

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  • Advantages of relational databases over VSAM, ISAM and hierarchical data stores

    - by llaszews
    When migrating companies from legacy environments to the cloud, invariably you run into older hierarchical, flat file, VSAM, ISAM and other legacy data stores. There are many advantages to moving these databases into a relational database structure. The most important which is that most cloud providers run on relational database models. AWS, for example, supports Oracle, SQL Server, and MySQL. The top three 'other reasons' for moving to a relational database are: 1. Data Access – Thousands of database access tools from query creation to business intelligence. 2. Management and monitoring – Hundreds of tools for management and monitoring of the database. 3. Leverage all the free tools from relational database vendors. Free Oracle database tools include: -Application Express – WYSIWIG browse based application development and deployment. -SQL Developer – SQL and PL/SQL development. Database object maintenance. What is interesting is that Big Data NoSQL databases and XML databases are taking us back to the days of VSAM (key value databases) with NoSQL and IMS (hierarchical) with XML databases?

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  • Database Migration Scripts: Getting from place A to place B

    - by Phil Factor
    We’ll be looking at a typical database ‘migration’ script which uses an unusual technique to migrate existing ‘de-normalised’ data into a more correct form. So, the book-distribution business that uses the PUBS database has gradually grown organically, and has slipped into ‘de-normalisation’ habits. What’s this? A new column with a list of tags or ‘types’ assigned to books. Because books aren’t really in just one category, someone has ‘cured’ the mismatch between the database and the business requirements. This is fine, but it is now proving difficult for their new website that allows searches by tags. Any request for history book really has to look in the entire list of associated tags rather than the ‘Type’ field that only keeps the primary tag. We have other problems. The TypleList column has duplicates in there which will be affecting the reporting, and there is the danger of mis-spellings getting there. The reporting system can’t be persuaded to do reports based on the tags and the Database developers are complaining about the unCoddly things going on in their database. In your version of PUBS, this extra column doesn’t exist, so we’ve added it and put in 10,000 titles using SQL Data Generator. /* So how do we refactor this database? firstly, we create a table of all the tags. */IF  OBJECT_ID('TagName') IS NULL OR OBJECT_ID('TagTitle') IS NULL  BEGIN  CREATE TABLE  TagName (TagName_ID INT IDENTITY(1,1) PRIMARY KEY ,     Tag VARCHAR(20) NOT NULL UNIQUE)  /* ...and we insert into it all the tags from the list (remembering to take out any leading spaces */  INSERT INTO TagName (Tag)     SELECT DISTINCT LTRIM(x.y.value('.', 'Varchar(80)')) AS [Tag]     FROM     (SELECT  Title_ID,          CONVERT(XML, '<list><i>' + REPLACE(TypeList, ',', '</i><i>') + '</i></list>')          AS XMLkeywords          FROM   dbo.titles)g    CROSS APPLY XMLkeywords.nodes('/list/i/text()') AS x ( y )  /* we can then use this table to provide a table that relates tags to articles */  CREATE TABLE TagTitle   (TagTitle_ID INT IDENTITY(1, 1),   [title_id] [dbo].[tid] NOT NULL REFERENCES titles (Title_ID),   TagName_ID INT NOT NULL REFERENCES TagName (Tagname_ID)   CONSTRAINT [PK_TagTitle]       PRIMARY KEY CLUSTERED ([title_id] ASC, TagName_ID)       ON [PRIMARY])        CREATE NONCLUSTERED INDEX idxTagName_ID  ON  TagTitle (TagName_ID)  INCLUDE (TagTitle_ID,title_id)        /* ...and it is easy to fill this with the tags for each title ... */        INSERT INTO TagTitle (Title_ID, TagName_ID)    SELECT DISTINCT Title_ID, TagName_ID      FROM        (SELECT  Title_ID,          CONVERT(XML, '<list><i>' + REPLACE(TypeList, ',', '</i><i>') + '</i></list>')          AS XMLkeywords          FROM   dbo.titles)g    CROSS APPLY XMLkeywords.nodes('/list/i/text()') AS x ( y )    INNER JOIN TagName ON TagName.Tag=LTRIM(x.y.value('.', 'Varchar(80)'))    END    /* That's all there was to it. Now we can select all titles that have the military tag, just to try things out */SELECT Title FROM titles  INNER JOIN TagTitle ON titles.title_ID=TagTitle.Title_ID  INNER JOIN Tagname ON Tagname.TagName_ID=TagTitle.TagName_ID  WHERE tagname.tag='Military'/* and see the top ten most popular tags for titles */SELECT Tag, COUNT(*) FROM titles  INNER JOIN TagTitle ON titles.title_ID=TagTitle.Title_ID  INNER JOIN Tagname ON Tagname.TagName_ID=TagTitle.TagName_ID  GROUP BY Tag ORDER BY COUNT(*) DESC/* and if you still want your list of tags for each title, then here they are */SELECT title_ID, title, STUFF(  (SELECT ','+tagname.tag FROM titles thisTitle    INNER JOIN TagTitle ON titles.title_ID=TagTitle.Title_ID    INNER JOIN Tagname ON Tagname.TagName_ID=TagTitle.TagName_ID  WHERE ThisTitle.title_id=titles.title_ID  FOR XML PATH(''), TYPE).value('.', 'varchar(max)')  ,1,1,'')    FROM titles  ORDER BY title_ID So we’ve refactored our PUBS database without pain. We’ve even put in a check to prevent it being re-run once the new tables are created. Here is the diagram of the new tag relationship We’ve done both the DDL to create the tables and their associated components, and the DML to put the data in them. I could have also included the script to remove the de-normalised TypeList column, but I’d do a whole lot of tests first before doing that. Yes, I’ve left out the assertion tests too, which should check the edge cases and make sure the result is what you’d expect. One thing I can’t quite figure out is how to deal with an ordered list using this simple XML-based technique. We can ensure that, if we have to produce a list of tags, we can get the primary ‘type’ to be first in the list, but what if the entire order is significant? Thank goodness it isn’t in this case. If it were, we might have to revisit a string-splitter function that returns the ordinal position of each component in the sequence. You’ll see immediately that we can create a synchronisation script for deployment from a comparison tool such as SQL Compare, to change the schema (DDL). On the other hand, no tool could do the DML to stuff the data into the new table, since there is no way that any tool will be able to work out where the data should go. We used some pretty hairy code to deal with a slightly untypical problem. We would have to do this migration by hand, and it has to go into source control as a batch. If most of your database changes are to be deployed by an automated process, then there must be a way of over-riding this part of the data synchronisation process to do this part of the process taking the part of the script that fills the tables, Checking that the tables have not already been filled, and executing it as part of the transaction. Of course, you might prefer the approach I’ve taken with the script of creating the tables in the same batch as the data conversion process, and then using the presence of the tables to prevent the script from being re-run. The problem with scripting a refactoring change to a database is that it has to work both ways. If we install the new system and then have to rollback the changes, several books may have been added, or had their tags changed, in the meantime. Yes, you have to script any rollback! These have to be mercilessly tested, and put in source control just in case of the rollback of a deployment after it has been in place for any length of time. I’ve shown you how to do this with the part of the script .. /* and if you still want your list of tags for each title, then here they are */SELECT title_ID, title, STUFF(  (SELECT ','+tagname.tag FROM titles thisTitle    INNER JOIN TagTitle ON titles.title_ID=TagTitle.Title_ID    INNER JOIN Tagname ON Tagname.TagName_ID=TagTitle.TagName_ID  WHERE ThisTitle.title_id=titles.title_ID  FOR XML PATH(''), TYPE).value('.', 'varchar(max)')  ,1,1,'')    FROM titles  ORDER BY title_ID …which would be turned into an UPDATE … FROM script. UPDATE titles SET  typelist= ThisTaglistFROM     (SELECT title_ID, title, STUFF(    (SELECT ','+tagname.tag FROM titles thisTitle      INNER JOIN TagTitle ON titles.title_ID=TagTitle.Title_ID      INNER JOIN Tagname ON Tagname.TagName_ID=TagTitle.TagName_ID    WHERE ThisTitle.title_id=titles.title_ID    ORDER BY CASE WHEN tagname.tag=titles.[type] THEN 1 ELSE 0  END DESC    FOR XML PATH(''), TYPE).value('.', 'varchar(max)')    ,1,1,'')  AS ThisTagList  FROM titles)fINNER JOIN Titles ON f.title_ID=Titles.title_ID You’ll notice that it isn’t quite a round trip because the tags are in a different order, though we’ve managed to make sure that the primary tag is the first one as originally. So, we’ve improved the database for the poor book distributors using PUBS. It is not a major deal but you’ve got to be prepared to provide a migration script that will go both forwards and backwards. Ideally, database refactoring scripts should be able to go from any version to any other. Schema synchronization scripts can do this pretty easily, but no data synchronisation scripts can deal with serious refactoring jobs without the developers being able to specify how to deal with cases like this.

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  • Using DEBUG Mode in Oracle SQL Developer to Log SQL

    - by thatjeffsmith
    Curious how we’re getting the data you see in SQL Developer when you click on something? While many of the dialogs provide a ‘SQL’ panel that shows you the SQL ABOUT to be generated, I’d rather see the SQL AS it’s executed. True, you could set a TRACE or fire up a Monitor Sessions report, but both of those solutions leave me hungry for more. Did you know that SQL Developer has a ‘debug’ mode? It slows the tool down a bit and spits out a lot of information you don’t care about, but it ALSO shows you ALL the SQL that is sent to the database, as you click around the tool! See ALL the SQL that SQL Developer sends to the database on your behalf Enable DEBUG Mode When you see the splash screen as SQL Developer fires up, frantically hit Up, Up, Down, Down, Left, Right, Left, Right, B, A, SELECT, Start. Wait, wrong game. No, all you need to do is go to your SQL Developer directory and navigate down to the ‘bin’ directory. In that directory, find the ‘sqldeveloper.conf’ file. Install Directory - sqldeveloper - bin - sqldeveloper.conf Open it with a text editor. Find this line IncludeConfFile sqldeveloper-nondebug.conf And replace it with this line IncludeConfFile sqldeveloper-debug.conf Save the file. Start up SQL Developer. Observe the Logging Page – Log Panel for the SQL There’s going to be more than just SQL here. You’ll actually see a LOT of other information. If you’re having general problems with the tool and you want to see the nitty-gritty of what’s going on, then this is a good place to satisfy your curiosity and might help us diagnose your issue if you post to the forums or open a ticket with My Oracle Support. You’ll find ‘INFO’ entries that look a little something like this - This is the query used to populate your Tables list in the connection tree. You can double-click on the sql text and get a pop-up window that’s much easier to read. See all that typing we’re saving you? I don’t recommend running in DEBUG mode all the time. Capturing this information and displaying it is more expensive than not doing so. And it provides a lot of information you don’t normally need to see. But when you DO want to know what’s going on and why, this is an excellent way of getting that information. When you’re ready to go back to ‘normal’ mode, just close SQL Developer, go back to your .conf file, and add the ‘nondebug’ bit back.

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  • Basics of Join Predicate Pushdown in Oracle

    - by Maria Colgan
    Happy New Year to all of our readers! We hope you all had a great holiday season. We start the new year by continuing our series on Optimizer transformations. This time it is the turn of Predicate Pushdown. I would like to thank Rafi Ahmed for the content of this blog.Normally, a view cannot be joined with an index-based nested loop (i.e., index access) join, since a view, in contrast with a base table, does not have an index defined on it. A view can only be joined with other tables using three methods: hash, nested loop, and sort-merge joins. Introduction The join predicate pushdown (JPPD) transformation allows a view to be joined with index-based nested-loop join method, which may provide a more optimal alternative. In the join predicate pushdown transformation, the view remains a separate query block, but it contains the join predicate, which is pushed down from its containing query block into the view. The view thus becomes correlated and must be evaluated for each row of the outer query block. These pushed-down join predicates, once inside the view, open up new index access paths on the base tables inside the view; this allows the view to be joined with index-based nested-loop join method, thereby enabling the optimizer to select an efficient execution plan. The join predicate pushdown transformation is not always optimal. The join predicate pushed-down view becomes correlated and it must be evaluated for each outer row; if there is a large number of outer rows, the cost of evaluating the view multiple times may make the nested-loop join suboptimal, and therefore joining the view with hash or sort-merge join method may be more efficient. The decision whether to push down join predicates into a view is determined by evaluating the costs of the outer query with and without the join predicate pushdown transformation under Oracle's cost-based query transformation framework. The join predicate pushdown transformation applies to both non-mergeable views and mergeable views and to pre-defined and inline views as well as to views generated internally by the optimizer during various transformations. The following shows the types of views on which join predicate pushdown is currently supported. UNION ALL/UNION view Outer-joined view Anti-joined view Semi-joined view DISTINCT view GROUP-BY view Examples Consider query A, which has an outer-joined view V. The view cannot be merged, as it contains two tables, and the join between these two tables must be performed before the join between the view and the outer table T4. A: SELECT T4.unique1, V.unique3 FROM T_4K T4,            (SELECT T10.unique3, T10.hundred, T10.ten             FROM T_5K T5, T_10K T10             WHERE T5.unique3 = T10.unique3) VWHERE T4.unique3 = V.hundred(+) AND       T4.ten = V.ten(+) AND       T4.thousand = 5; The following shows the non-default plan for query A generated by disabling join predicate pushdown. When query A undergoes join predicate pushdown, it yields query B. Note that query B is expressed in a non-standard SQL and shows an internal representation of the query. B: SELECT T4.unique1, V.unique3 FROM T_4K T4,           (SELECT T10.unique3, T10.hundred, T10.ten             FROM T_5K T5, T_10K T10             WHERE T5.unique3 = T10.unique3             AND T4.unique3 = V.hundred(+)             AND T4.ten = V.ten(+)) V WHERE T4.thousand = 5; The execution plan for query B is shown below. In the execution plan BX, note the keyword 'VIEW PUSHED PREDICATE' indicates that the view has undergone the join predicate pushdown transformation. The join predicates (shown here in red) have been moved into the view V; these join predicates open up index access paths thereby enabling index-based nested-loop join of the view. With join predicate pushdown, the cost of query A has come down from 62 to 32.  As mentioned earlier, the join predicate pushdown transformation is cost-based, and a join predicate pushed-down plan is selected only when it reduces the overall cost. Consider another example of a query C, which contains a view with the UNION ALL set operator.C: SELECT R.unique1, V.unique3 FROM T_5K R,            (SELECT T1.unique3, T2.unique1+T1.unique1             FROM T_5K T1, T_10K T2             WHERE T1.unique1 = T2.unique1             UNION ALL             SELECT T1.unique3, T2.unique2             FROM G_4K T1, T_10K T2             WHERE T1.unique1 = T2.unique1) V WHERE R.unique3 = V.unique3 and R.thousand < 1; The execution plan of query C is shown below. In the above, 'VIEW UNION ALL PUSHED PREDICATE' indicates that the UNION ALL view has undergone the join predicate pushdown transformation. As can be seen, here the join predicate has been replicated and pushed inside every branch of the UNION ALL view. The join predicates (shown here in red) open up index access paths thereby enabling index-based nested loop join of the view. Consider query D as an example of join predicate pushdown into a distinct view. We have the following cardinalities of the tables involved in query D: Sales (1,016,271), Customers (50,000), and Costs (787,766).  D: SELECT C.cust_last_name, C.cust_city FROM customers C,            (SELECT DISTINCT S.cust_id             FROM sales S, costs CT             WHERE S.prod_id = CT.prod_id and CT.unit_price > 70) V WHERE C.cust_state_province = 'CA' and C.cust_id = V.cust_id; The execution plan of query D is shown below. As shown in XD, when query D undergoes join predicate pushdown transformation, the expensive DISTINCT operator is removed and the join is converted into a semi-join; this is possible, since all the SELECT list items of the view participate in an equi-join with the outer tables. Under similar conditions, when a group-by view undergoes join predicate pushdown transformation, the expensive group-by operator can also be removed. With the join predicate pushdown transformation, the elapsed time of query D came down from 63 seconds to 5 seconds. Since distinct and group-by views are mergeable views, the cost-based transformation framework also compares the cost of merging the view with that of join predicate pushdown in selecting the most optimal execution plan. Summary We have tried to illustrate the basic ideas behind join predicate pushdown on different types of views by showing example queries that are quite simple. Oracle can handle far more complex queries and other types of views not shown here in the examples. Again many thanks to Rafi Ahmed for the content of this blog post.

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  • SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

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  • Running Multiple Queries in Oracle SQL Developer

    - by thatjeffsmith
    There are two methods for running queries in SQL Developer: Run Statement Run Statement, Shift+Enter, F9, or this button Run Script No grids, just script (SQL*Plus like) ouput is fine, thank you very much! What’s the Difference? There are some obvious differences between the two features, the most obvious being the format of the output delivered. But there are some other, more subtle differences here, primarily around fetching. What is Fetch? After you run send your query to Oracle, it has to do 3 things: Parse Execute Fetch Technically it has to do at least 2 things, and sometimes only 1. But, to get the data back to the user, the fetch must occur. If you have a 10 row query or a 1,000,000 row query, this can mean 1 or many fetches in groups of records. Ok, before I went on the Fetch tangent, I said there were two ways to run statements in SQL Developer: Run Statement Run statement brings your query results to a grid with a single fetch. The user sees 50, 100, 500, etc rows come back, but SQL Developer and the database know that there are more rows waiting to be retrieved. The process on the server that was used to execute the query is still hanging around too. To alleviate this, increase your fetch size to 500. Every query ran will come back with the first 500 rows, and rows will be continued to be fetched in 500 row increments. You’ll then see most of your ad hoc queries complete with a single fetch. Scroll down, or hit Ctrl+End to force a full fetch and get all your rows back. Run Script Run Script runs the contents of the worksheet (or what’s highlighted) as a ‘script.’ What does that mean exactly? Think of this as being equivalent to running this in SQL*Plus: @my_script.sql; Each statement is executed. Also, ALL rows are fetched. So once it’s finished executing, there are no open cursors left around. The more obvious difference here is that the output comes back formatted as plain old text. Run one or more commands plus SQL*Plus commands like SET and SPOOL The Trick: Run Statement Works With Multiple Statements! It says ‘run statement,’ but if you select more than one with your mouse and hit the button – it will run each and throw the results to 1 grid for each statement. If you mouse hover over the Query Result panel tab, SQL Developer will tell you the query used to populate that grid. This will work regardless of what you have this preference set to: DATABASE – WORKSHEET – SHOW QUERY RESULTS IN NEW TABS Mind the fetch though! Close those cursors by bring back all the records or closing the grids when you’re done with them.

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  • 5 Best Practices - Laying the Foundation for WebCenter Projects

    - by Kellsey Ruppel
    Today’s guest post comes from Oracle WebCenter expert John Brunswick. John specializes in enterprise portal and content management solutions and actively contributes to the enterprise software business community and has authored a series of articles about optimal business involvement in portal, business process management and SOA development, examining ways of helping organizations move away from monolithic application development. We’re happy to have John join us today! Maximizing success with Oracle WebCenter portal requires a strategic understanding of Oracle WebCenter capabilities.  The following best practices enable the creation of portal solutions with minimal resource overhead, while offering the greatest flexibility for progressive elaboration. They are inherently project agnostic, enabling a strong foundation for future growth and an expedient return on your investment in the platform.  If you are able to embrace even only a few of these practices, you will materially improve your deployment capability with WebCenter. 1. Segment Duties Around 3Cs - Content, Collaboration and Contextual Data "Agility" is one of the most common business benefits touted by modern web platforms.  It sounds good - who doesn't want to be Agile, right?  How exactly IT organizations go about supplying agility to their business counterparts often lacks definition - hamstrung by ambiguity. Ultimately, businesses want to benefit from reduced development time to deliver a solution to a particular constituent, which is augmented by as much self-service as possible to develop and manage the solution directly. All done in the absence of direct IT involvement. With Oracle WebCenter's depth in the areas of content management, pallet of native collaborative services, enterprise mashup capability and delegated administration, it is very possible to execute on this business vision at a technical level. To realize the benefits of the platform depth we can think of Oracle WebCenter's segmentation of duties along the lines of the 3 Cs - Content, Collaboration and Contextual Data.  All three of which can have their foundations developed by IT, then provisioned to the business on a per role basis. Content – Oracle WebCenter benefits from an extremely mature content repository.  Work flow, audit, notification, office integration and conversion capabilities for documents (HTML & PDF) make this a haven for business users to take control of content within external and internal portals, custom applications and web sites.  When deploying WebCenter portal take time to think of areas in which IT can provide the "harness" for content to reside, then allow the business to manage any content items within the site, using the content foundation to ensure compliance with business rules and process.  This frees IT to work on more mission critical challenges and allows the business to respond in short order to emerging market needs. Collaboration – Native collaborative services and WebCenter spaces are a perfect match for business users who are looking to enable document sharing, discussions and social networking.  The ability to deploy the services is granular and on the basis of roles scoped to given areas of the system - much like the first C “content”.  This enables business analysts to design the roles required and IT to provision with peace of mind that users leveraging the collaborative services are only able to do so in explicitly designated areas of a site. Bottom line - business will not need to wait for IT, but cannot go outside of the scope that has been defined based on their roles. Contextual Data – Collaborative capabilities are most powerful when included within the context of business data.  The ability to supply business users with decision shaping data that they can include in various parts of a portal or portals, just as they would with content items, is one of the most powerful aspects of Oracle WebCenter.  Imagine a discussion about new store selection for a retail chain that re-purposes existing information from business intelligence services about various potential locations and or custom backend systems - presenting it directly in the context of the discussion.  If there are some data sources that are preexisting in your enterprise take a look at how they can be made into discrete offerings within the portal, then scoped to given business user roles for inclusion within collaborative activities. 2. Think Generically, Execute Specifically Constructs.  Anyone who has spent much time around me knows that I am obsessed with this word.  Why? Because Constructs offer immense power - more than APIs, Web Services or other technical capability. Constructs offer organizations the ability to leverage a platform's native characteristics to offer substantial business functionality - without writing code.  This concept becomes more powerful with the additional understanding of the concepts from the platform that an organization learns over time.  Let's take a look at an example of where an Oracle WebCenter construct can substantially reduce the time to get a subscription-based site out the door and into the hands of the end consumer. Imagine a site that allows members to subscribe to specific disciplines to access information and application data around that various discipline.  A space is a collection of secured pages within Oracle WebCenter.  Spaces are not only secured, but also default content stored within it to be scoped automatically to that space. Taking this a step further, Oracle WebCenter’s Activity Stream surfaces events, discussions and other activities that are scoped to the given user on the basis of their space affiliations.  In order to have a portal that would allow users to "subscribe" to information around various disciplines - spaces could be used out of the box to achieve this capability and without using any APIs or low level technical work to achieve this. 3. Make Governance Work for You Imagine driving down the street without the painted lines on the road.  The rules of the road are so ingrained in our minds, we often do not think about the process, but seemingly mundane lane markers are critical enablers. Lane markers allow us to travel at speeds that would be impossible if not for the agreed upon direction of flow. Additionally and more importantly, it allows people to act autonomously - going where they please at any given time. The return on the investment for mobility is high enough for people to buy into globally agreed up governance processes. In Oracle WebCenter we can use similar enablers to lane markers.  Our goal should be to enable the flow of information and provide end users with the ability to arrive at business solutions as needed, not on the basis of cumbersome processes that cannot meet the business needs in a timely fashion. How do we do this? Just as with "Segmentation of Duties" Oracle WebCenter technologies offer the opportunity to compartmentalize various business initiatives from each other within the system due to constructs and security that are available to use within the platform. For instance, when a WebCenter space is created, any content added within that space by default will be secured to that particular space and inherits meta data that is associated with a folder created for the space. Oracle WebCenter content uses meta data to support a broad range of rich ECM functionality and can automatically impart retention, workflow and other policies automatically on the basis of what has been defaulted for that space. Depending on your business needs, this paradigm will also extend to sub sections of a space, offering some interesting possibilities to enable automated management around content. An example may be press releases within a particular area of an extranet that require a five year retention period and need to the reviewed by marketing and legal before release.  The underlying content system will transparently take care of this process on the basis of the above rules, enabling peace of mind over unstructured data - which could otherwise become overwhelming. 4. Make Your First Project Your Second Imagine if Michael Phelps was competing in a swimming championship, but told right before his race that he had to use a brand new stroke.  There is no doubt that Michael is an outstanding swimmer, but chances are that he would like to have some time to get acquainted with the new stroke. New technologies should not be treated any differently.  Before jumping into the deep end it helps to take time to get to know the new approach - even though you may have been swimming thousands of times before. To quickly get a handle on Oracle WebCenter capabilities it can be helpful to deploy a sandbox for the team to use to share project documents, discussions and announcements in an effort to help the actual deployment get under way, while increasing everyone’s knowledge of the platform and its functionality that may be helpful down the road. Oracle Technology Network has made a pre-configured virtual machine available for download that can be a great starting point for this exercise. 5. Get to Know the Community If you are reading this blog post you have most certainly faced a software decision or challenge that was solved on the basis of a small piece of missing critical information - which took substantial research to discover.  Chances were also good that somewhere, someone had already come across this information and would have been excited to share it. There is no denying the power of passionate, connected users, sharing key tips around technology.  The Oracle WebCenter brand has a rich heritage that includes industry-leading technology and practitioners.  With the new Oracle WebCenter brand, opportunities to connect with these experts has become easier. Oracle WebCenter Blog Oracle Social Enterprise LinkedIn WebCenter Group Oracle WebCenter Twitter Oracle WebCenter Facebook Oracle User Groups Additionally, there are various Oracle WebCenter related blogs by an excellent grouping of services partners.

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  • Coherence Special Interest Group: First Meeting in Toronto and Upcoming Events in New York and Calif

    - by [email protected]
    The first meeting of the Toronto Coherence Special Interest Group (TOCSIG). Date: Friday, April 23, 2010 Time: 8:30am-12:00pm Where: Oracle Mississauga Office, Customer Visitation Center, 110 Matheson Blvd. West, Suite 100, Mississauga, ON L5R3P4 Cameron Purdy, Vice President of Development (Oracle), Patrick Peralta, Senior Software Engineer (Oracle), and Noah Arliss, Software Development Manager (Oracle) will be presenting. Further information about this event can be seen here   The New York Coherence SIG is hosting its seventh meeting. Date: Thursday, Apr 15, 2010 Time: 5:30pm-5:45pm ET social and 5:45pm-8:00pm ET presentations Where: Oracle Office, Room 30076, 520 Madison Avenue, 30th Floor, Patrick Peralta, Dr. Gene Gleyzer, and Craig Blitz from Oracle, will be presenting. Further information about this event can be seen here   The Bay Area Coherence SIG is hosting its fifth meeting. Date: Thursday, Apr 29, 2009 Time: 5:30pm-5:45pm PT social and 5:45pm-8:00pm PT presentations Where: Oracle Conference Center, 350 Oracle Parkway, Room 203, Redwood Shores, CA Tom Lubinski from SL Corp., Randy Stafford from the Oracle A-team, and Taylor Gautier from Grid Dynamics will be presenting Further information about this event can be seen here   Great news, aren't they? 

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  • SPARC Solaris Momentum

    - by Mike Mulkey-Oracle
    Following up on the Oracle Solaris 11.2 launch on April 29th, if you were able to watch the launch event, you saw Mark Hurd state that Oracle will be No. 1 in high-end computing systems "in a reasonable time frame”.  "This is not a 3-year vision," he continued.Well, According to IDC's latest 1QCY14 Tracker, Oracle has regained the #1 UNIX Shipments Marketshare! You can see the report and read about it here: Oracle regains the #1 UNIX Shipments Marketshare, but suffice to say that SPARC Solaris is making strong gains on the competition.  If you have seen the public roadmap through 2019 of Oracle's commitment to continue to deliver on this technology, you can see that Mark Hurd’s comment was not to be taken lightly.  We feel the systems tide turning in Oracle's direction and are working hard to show our partner community the value of being a part of the SPARC Solaris momentum.We are now planning for the Solaris 11.2 GA in late summer (11.2 beta is available now), as well as doing early preparations for Oracle OpenWorld 2014 on September 28th.  Stay tuned there!Here is a sampling of the coverage highlights around the Oracle Solaris 11.2 launch:“Solaris is still one of the most advanced platforms in the enterprise.” – ITBusinessEdge“Oracle is serious about clouds now, just as its customers are, whether they are building them in their own datacenters or planning to use public clouds.” – EnterpriseTech"Solaris is more about a layer of an integrated system than an operating system.” — ZDNet

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  • Dissertation about website and database security - in need of some pointers

    - by ClarkeyBoy
    Hi, I am on my dissertation in my final year at university at the moment. One of the areas I need to research is security - for both websites and for databases. I currently have sections on the following: Website Form security - such as data validation. This section is more about preventing errors made by legitimate users as much as possible rather than stopping hackers, for example comparing a field to a regular expression and giving them meaningful feedback on any errors which did occur so as to stop it happening again. Constraints. For example if a value must be true or false then use a checkbox. If it is likely to be one of several values then use a dropdown or a set of radio boxes, and so on. If the value is unpredictable then use regular expressions to limit what characters they are allowed to enter, and to restrict the length of the string, and sometimes to limit the format (such as for dates / times, post codes and so on). Sometimes you can limit permissions to the form. This is on the occasion that you know exactly who (whether it be peoples names or a group of people - such as administrators or employees) is going to need access to the form. Restricting permissions will stop members of the public from being able to access the form. Symbols or strings which could be used maliciously or cause the website to act incorrectly (such as the script tag) should be filtered out or html encoded. Captcha images can be used to prevent automated systems from filling in and submitting the form. There are some hacks for file uploads - such as using double extensions - which can allow hackers to upload malicious files. Databases (this is nowhere near done yet but the sections I have planned are listed below) SQL statements vs stored procedures Throwing an error when one of the variables contains particular characters or groups of characters (I cant remember what characters they are, but I have seen a message thrown back at me before where I have tried to enter html or something into a text area). SQL Injection - and ways around it, with some examples. Does anyone have any hints and tips on where I could go for some decent, reliable information either about these areas or about other areas of security that I could cover? Thanks in advance. Regards, Richard PS I am a complete newbie when it comes to security, so please be patient with me. If any of the information I have put down is wrong or could be sub-sectioned then please feel free to say so.

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  • SSRS Report from Oracle DB - Use stored procedure

    - by Emtucifor
    I am developing a report in Sql Server Reporting Services 2005, connecting to an Oracle 11g database. As you post replies perhaps it will help to know that I'm skilled in MSSQL Server and inexperienced in Oracle. I have multiple nested subreports and need to use summary data in outer reports and the same data but in detail in the inner reports. In order to spare the DB server from multiple executions, I thought to populate some temp tables at the beginning and then query just them the multiple times in the report and the subreports. In SSRS, Datasets are evidently executed in the order they appear in the RDL file. And you can have a dataset that doesn't return a rowset. So I created a stored procedure to populate my four temp tables and made this the first Dataset in my report. This SP works when I run it from SQLDeveloper and I can query the data from the temp tables. However, this didn't appear to work out because SSRS was apparently not reusing the same session, so even though the global temporary tables were created with ON COMMIT PRESERVE ROWS my Datasets were empty. I switched to using "real" tables and am now passing in an additional parameter, a GUID in string form, uniquely generated on each new execution, that is part of the primary key of each table, so I can get back just the rows for this execution. Running this from Sql Developer works fine, example: DECLARE ActivityCode varchar2(15) := '1208-0916 '; ExecutionID varchar2(32) := SYS_GUID(); BEGIN CIPProjectBudget (ActivityCode, ExecutionID); END; Never mind that in this example I don't know the GUID, this simply proves it works because rows are inserted to my four tables. But in the SSRS report, I'm still getting no rows in my Datasets and SQL Developer confirms no rows are being inserted. So I'm thinking along the lines of: Oracle uses implicit transactions and my changes aren't getting committed? Even though I can prove that the non-rowset returning SP is executing (because if I leave out the parameter mapping it complains at report rendering time about not having enough parameters) perhaps it's not really executing. Somehow. Wrong execution order isn't the problem or rows would appear in the tables, and they aren't. I'm interested in any ideas about how to accomplish this (especially the part about not running the main queries multiple times). I'll redesign my whole report. I'll stop using a stored procedure. Suggest anything you like! I just need help getting this working and I am stuck. If you want more details, in my SSRS report I have a List object (it's a container that repeats once for each row in a Dataset) that has some header values and then contains a subreport. Eventually, there will be four total reports: one main report, with three nested subreports. Each subreport will be in a List on the parent report.

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