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  • Cassandra replication system - how it works

    - by inquisitor
    Does cassandra replicates only on write procedure (with choosen consistency level)? Is there any auto-replicate option for absent nodes, if i want symetric data in every node? If I plug in new node to cluster there is no auto replication - how to sync data from others nodes with new one? If I want replication like multimaster (2 nodes) with slave backup (1 node) known from MySQL, what is the proper logic setup and manage that on cassandra (3 nodes)? How about two nodes?

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  • Nutch search always returns 0 results

    - by darbour
    I have set up nutch 1.0 on a cluster. It has been setup and has successfully crawled, I copied the crawl directory using the dfs -copyToLocal and set the value of searcher.dir in the nutch-site.xml file located in the tomcat directory to point to that directory. Still when I try to search I receive 0 results. Any help would be greatly appreciated.

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  • Drawing a polygon around groups of datapoints in MATLAB

    - by Hossein
    Hi, I have a set of datapoints each of which belongs to a certain cluster(group).I need to draw a polygone around each of these clusters.Does anyone knows how to do it? PS: It doesn't matter if I use or not use the actual datapoints for drawing the polygon. I just need them to be wrapped in a polygon. Thanks

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  • Switch User in RedHat like XP [closed]

    - by rd42
    In our cluster, RedHat4 & 5 machines, if someone locks the computer and walks away no body can use it. Is there a feature in RedHat5, Gnome, KDE etc that would allow for the option of switching users at the lock screen, so more than one person can be logged in? Thanks, rd42

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  • Erlang: What's a good way to automatically assign node names?

    - by mwt
    I want to have an EC2 based cluster that can grow and shrink at will. No node will be special in any way nor do I want them to have to coordinate their names with any other nodes. I don't want to hard code the names since I want to use one image and spin them up as needed. I understand nodes have to have names to communicate, though. What's a good strategy for automatically and dynamically coming up with a name at start script time?

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  • Splitting a list based on another list values in Mathematica

    - by Max
    In Mathematica I have a list of point coordinates size = 50; points = Table[{RandomInteger[{0, size}], RandomInteger[{0, size}]}, {i, 1, n}]; and a list of cluster indices these points belong to clusterIndices = {1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1}; what is the easiest way to split the points into two separate lists based on the clusterIndices values?

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  • Changing the block size of a dfs file in Hadoop

    - by Sam
    I found that my map tasks is currently inefficient when parsing one particular set of files (total 2 TB). I'd like to change the block size of files in the Hadoop dfs (from 64MB to 128 MB). I can't find how to do it in the documentation for only one set of files and not the entire cluster, does anyone know the command that would change the block size when I upload it (ie copy from local to the dfs)? Thanks!

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  • Smooth redeployment of WAR in production?

    - by stephanos
    I was wondering if there is a 'smooth way' of redeploying a Java WAR to a production server (no cluster, no OSGi)? All I can come up with is stop server, update file, restart server. And 10 minutes beforehand I need to display a maintenance warning on the site. What's your approach?

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  • Good resource for studying Database High Availability techniques

    - by Invincible
    Hello Can anybody suggest some good resource/book on Database high availability techniques? Moreover, High-availability of system software like Intrusion Prevention system or Web servers. I am considering high-availability is global term which covers clustring, cloud computing, replication, replica management, distributed synchronization for cluster. Thanks in advance!

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  • SQL Server Redirection

    - by MrTehee
    We are switching from a SQL cluster to a mirrored solution. The problem is that we have a bunch of programs that would have to switch connection strings to handle the failover. Is there any way the we can set up a redirect or proxy that would take any legacy requests and forward them to the mirrored solution?

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  • Exchange Server 2007 Setup

    - by AlamedaDad
    Hi, I'm working on a upgrade to Exchange 2007 and I wanted to get some advise on hardware choices. We currently have an Exchange 2003 STD server with 400 users split between 6 AD Sites, that is housed on a single server. We need to move to a redundant, fault tolerant system to support our users. I'm planning on installing 2 Dell 1950 servers with W2k8-std to act as CAS and Hub servers, with NLB to allow abstraction of the actual server name to the users. There won't be an edge system since we have a Barracuda box already that will handle in/out spam/virus filtering. Backend I'm planning on 2 mailbox servers which will be Dell 2950s with 16GB RAM, 2 either dual-core or quad-core CPUs and 6 300GB SAS drives in some RAID config. These systems will be clustered using W2k8 Ent clustering and running CCR in Exchange. My questions are as follows: Is 16GB enough RAM for serving that many mailboxes along with the windows clustering and ccr? I'm trying to figure out disk layouts and I'm unsure of whether to use all local disk or some local and some SAN, via an OpenFiler iSCSI server. The SAN would be a Dell 2850 with 6 - 300GB SCSI drives and a PERC controller to slice as I want, with 8GB RAM. Option 1: 2 drives, RAID 1 - OS 2 drives, RAID 1 - Logs 2 drives, RAID 1 - Mail stores Option 2: 2 drives, RAID 1 - OS and logs 4 drives, RAID 5 - Mail Stores and scratch space for eseutil. Option 3: 2 drives, RAID 1 - OS 2 drives, RAID 1 - Logs 2 drives, RAID 0 - scratch space ~300GB iSCSI volume for mail stores Option 4: 2 drives, RAID 1 - OS 4 drives, RAID 5 - scratch space ~300GB iSCSI volume for mail stores ~300GB iSCSI volume for logs I have 2 sockets for CPUs and need to chose between dual and quad cores. The dual core have faster clocks but less cache and I'm thinking older architecture. Am I better off with more cores and cache while sacraficing clock speed? I am planning on adding the new E2K7 cluster to the E2K3 server and then move each mailbox over, all at once, then remove the old server. This seems more complicated than simply getting rid of the 2003 server and then adding the 2007 cluster and restoring the mailboxes using PowerControls or exmerge. The migration option lets me do this on my time, where a cutover means it all needs to work at once. If I go with the cutover method, how can I prebuild the servers and add them to the domain right after removing the 2003 server, or can't I? I think the answer is no and the migration is my only real option if I want to prebuild. I need to also migrate about 30GB of Public Folders. Is there anything special about this, other than specifying in the E2K7 install that I want older Outlook clients and PF's setup? I guess I could even keep the E2K3 server to host just the PFs? Lastly, if I have a mix of Outlook 200, 2003 and 2007 what do I need to do to make sure they all have access to the GAL and OAB? At time of cutover, we'll be at like 90% 2007, but we will have some older stuff around. My plan is to use Outlook Anywhere on laptops that are used outside the physical network. Are there any gotchas involved in that? I'm even thinking about using is for all Outlook clients, does anyone do that? The reason I'm considering it is that our WAN is really VPN tunnels over internet connections, so not a fully messhed, stable WAN. Thank you all very much for the assistance in advance and I look forward to discussion of these points! Regards...Michael

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  • Recommendations for distributed processing/distributed storage systems

    - by Eddie
    At my organization we have a processing and storage system spread across two dozen linux machines that handles over a petabyte of data. The system right now is very ad-hoc; processing automation and data management is handled by a collection of large perl programs on independent machines. I am looking at distributed processing and storage systems to make it easier to maintain, evenly distribute load and data with replication, and grow in disk space and compute power. The system needs to be able to handle millions of files, varying in size between 50 megabytes to 50 gigabytes. Once created, the files will not be appended to, only replaced completely if need be. The files need to be accessible via HTTP for customer download. Right now, processing is automated by perl scripts (that I have complete control over) which call a series of other programs (that I don't have control over because they are closed source) that essentially transforms one data set into another. No data mining happening here. Here is a quick list of things I am looking for: Reliability: These data must be accessible over HTTP about 99% of the time so I need something that does data replication across the cluster. Scalability: I want to be able to add more processing power and storage easily and rebalance the data on across the cluster. Distributed processing: Easy and automatic job scheduling and load balancing that fits with processing workflow I briefly described above. Data location awareness: Not strictly required but desirable. Since data and processing will be on the same set of nodes I would like the job scheduler to schedule jobs on or close to the node that the data is actually on to cut down on network traffic. Here is what I've looked at so far: Storage Management: GlusterFS: Looks really nice and easy to use but doesn't seem to have a way to figure out what node(s) a file actually resides on to supply as a hint to the job scheduler. GPFS: Seems like the gold standard of clustered filesystems. Meets most of my requirements except, like glusterfs, data location awareness. Ceph: Seems way to immature right now. Distributed processing: Sun Grid Engine: I have a lot of experience with this and it's relatively easy to use (once it is configured properly that is). But Oracle got its icy grip around it and it no longer seems very desirable. Both: Hadoop/HDFS: At first glance it looked like hadoop was perfect for my situation. Distributed storage and job scheduling and it was the only thing I found that would give me the data location awareness that I wanted. But I don't like the namename being a single point of failure. Also, I'm not really sure if the MapReduce paradigm fits the type of processing workflow that I have. It seems like you need to write all your software specifically for MapReduce instead of just using Hadoop as a generic job scheduler. OpenStack: I've done some reading on this but I'm having trouble deciding if it fits well with my problem or not. Does anyone have opinions or recommendations for technologies that would fit my problem well? Any suggestions or advise would be greatly appreciated. Thanks!

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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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  • Single-Signon options for Exchange 2010

    - by freiheit
    We're working on a project to migrate employee email from Unix/open-source (courier IMAP, exim, squirrelmail, etc) to Exchange 2010, and trying to figure out options for single-signon for Outlook Web Access. So far all the options I've found are very ugly and "unsupportable", and may simply not work with Forefront. We already have JA-SIG CAS for token-based single-signon and Shibboleth for SAML. Users are directed to a simple in-house portal (a Perl CGI, really) that they use to sign in to most stuff. We have an HA OpenLDAP cluster that's already synchronized against another AD domain and will be synchronized with the AD domain Exchange will be using. CAS authenticates against LDAP. The portal authenticates against CAS. Shibboleth authenticates with CAS but pulls additional data from LDAP. We're moving in the direction of having web services authenticate against CAS or Shibboleth. (Students are already on SAML/Shibboleth authenticated Google Apps for Education) With Squirrelmail we have a horrible hack linked to from that portal page that authenticates against CAS, gets your original plaintext password (yes, I know, evil), and gives you an HTTP form pre-filled with all the necessary squirrelmail login details with javaScript onLoad stuff to immediately submit the form. Trying to find out exactly what is possible with Exchange/OWA seems to be difficult. "CAS" is both the acronym for our single-signon server and an Exchange component. From what I've been able to tell there's an addon for Exchange that does SAML, but only for federating things like free/busy calendar info, not authenticating users. Plus it costs additional money so there's no way to experiment with it to see if it can be coaxed into doing what we want. Our plans for the Exchange cluster involve Forefront Threat Management Gateway (the new ISA) in the DMZ front-ending the CAS servers. So, the real question: Has anybody managed to make Exchange authenticate with CAS (token-based single-signon) or SAML, or with something I can reasonably likely make authenticate with one of those (such as anything that will accept apache's authentication)? With Forefront? Failing that, anybody have some tips on convincing OWA Forms Based Authentication (FBA) into letting us somehow "pre-login" the user? (log in as them and pass back cookies to the user, or giving the user a pre-filled form that autosubmits like we do with squirrelmail). This is the least-favorite option for a number of reasons, but it would (just barely) satisfy our requirements. From what I hear from the guy implementing Forefront, we may have to set OWA to basic authentication and do forms in Forefront for authentication, so it's possible this isn't even possible. I did find CasOwa, but it only mentions Exchange 2007, looks kinda scary, and as near as I can tell is mostly the same OWA FBA hack I was considering slightly more integrated with the CAS server. It also didn't look like many people had had much success with it. And it may not work with Forefront. There's also "CASifying Outlook Web Access 2", but that one scares me, too, and involves setting up a complex proxy config, which seems more likely to break. And, again, doesn't look like it would work with Forefront. Am I missing something with Exchange SAML (OWA Federated whatchamacallit) where it is possible to configure to do user authentication and not just free/busy access authorization?

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  • SQL Monitor’s data repository

    - by Chris Lambrou
    As one of the developers of SQL Monitor, I often get requests passed on by our support people from customers who are looking to dip into SQL Monitor’s own data repository, in order to pull out bits of information that they’re interested in. Since there’s clearly interest out there in playing around directly with the data repository, I thought I’d write some blog posts to start to describe how it all works. The hardest part for me is knowing where to begin, since the schema of the data repository is pretty big. Hmmm… I guess it’s tricky for anyone to write anything but the most trivial of queries against the data repository without understanding the hierarchy of monitored objects, so perhaps my first post should start there. I always imagine that whenever a customer fires up SSMS and starts to explore their SQL Monitor data repository database, they become immediately bewildered by the schema – that was certainly my experience when I did so for the first time. The following query shows the number of different object types in the data repository schema: SELECT type_desc, COUNT(*) AS [count] FROM sys.objects GROUP BY type_desc ORDER BY type_desc;  type_desccount 1DEFAULT_CONSTRAINT63 2FOREIGN_KEY_CONSTRAINT181 3INTERNAL_TABLE3 4PRIMARY_KEY_CONSTRAINT190 5SERVICE_QUEUE3 6SQL_INLINE_TABLE_VALUED_FUNCTION381 7SQL_SCALAR_FUNCTION2 8SQL_STORED_PROCEDURE100 9SYSTEM_TABLE41 10UNIQUE_CONSTRAINT54 11USER_TABLE193 12VIEW124 With 193 tables, 124 views, 100 stored procedures and 381 table valued functions, that’s quite a hefty schema, and when you browse through it using SSMS, it can be a bit daunting at first. So, where to begin? Well, let’s narrow things down a bit and only look at the tables belonging to the data schema. That’s where all of the collected monitoring data is stored by SQL Monitor. The following query gives us the names of those tables: SELECT sch.name + '.' + obj.name AS [name] FROM sys.objects obj JOIN sys.schemas sch ON sch.schema_id = obj.schema_id WHERE obj.type_desc = 'USER_TABLE' AND sch.name = 'data' ORDER BY sch.name, obj.name; This query still returns 110 tables. I won’t show them all here, but let’s have a look at the first few of them:  name 1data.Cluster_Keys 2data.Cluster_Machine_ClockSkew_UnstableSamples 3data.Cluster_Machine_Cluster_StableSamples 4data.Cluster_Machine_Keys 5data.Cluster_Machine_LogicalDisk_Capacity_StableSamples 6data.Cluster_Machine_LogicalDisk_Keys 7data.Cluster_Machine_LogicalDisk_Sightings 8data.Cluster_Machine_LogicalDisk_UnstableSamples 9data.Cluster_Machine_LogicalDisk_Volume_StableSamples 10data.Cluster_Machine_Memory_Capacity_StableSamples 11data.Cluster_Machine_Memory_UnstableSamples 12data.Cluster_Machine_Network_Capacity_StableSamples 13data.Cluster_Machine_Network_Keys 14data.Cluster_Machine_Network_Sightings 15data.Cluster_Machine_Network_UnstableSamples 16data.Cluster_Machine_OperatingSystem_StableSamples 17data.Cluster_Machine_Ping_UnstableSamples 18data.Cluster_Machine_Process_Instances 19data.Cluster_Machine_Process_Keys 20data.Cluster_Machine_Process_Owner_Instances 21data.Cluster_Machine_Process_Sightings 22data.Cluster_Machine_Process_UnstableSamples 23… There are two things I want to draw your attention to: The table names describe a hierarchy of the different types of object that are monitored by SQL Monitor (e.g. clusters, machines and disks). For each object type in the hierarchy, there are multiple tables, ending in the suffixes _Keys, _Sightings, _StableSamples and _UnstableSamples. Not every object type has a table for every suffix, but the _Keys suffix is especially important and a _Keys table does indeed exist for every object type. In fact, if we limit the query to return only those tables ending in _Keys, we reveal the full object hierarchy: SELECT sch.name + '.' + obj.name AS [name] FROM sys.objects obj JOIN sys.schemas sch ON sch.schema_id = obj.schema_id WHERE obj.type_desc = 'USER_TABLE' AND sch.name = 'data' AND obj.name LIKE '%_Keys' ORDER BY sch.name, obj.name;  name 1data.Cluster_Keys 2data.Cluster_Machine_Keys 3data.Cluster_Machine_LogicalDisk_Keys 4data.Cluster_Machine_Network_Keys 5data.Cluster_Machine_Process_Keys 6data.Cluster_Machine_Services_Keys 7data.Cluster_ResourceGroup_Keys 8data.Cluster_ResourceGroup_Resource_Keys 9data.Cluster_SqlServer_Agent_Job_History_Keys 10data.Cluster_SqlServer_Agent_Job_Keys 11data.Cluster_SqlServer_Database_BackupType_Backup_Keys 12data.Cluster_SqlServer_Database_BackupType_Keys 13data.Cluster_SqlServer_Database_CustomMetric_Keys 14data.Cluster_SqlServer_Database_File_Keys 15data.Cluster_SqlServer_Database_Keys 16data.Cluster_SqlServer_Database_Table_Index_Keys 17data.Cluster_SqlServer_Database_Table_Keys 18data.Cluster_SqlServer_Error_Keys 19data.Cluster_SqlServer_Keys 20data.Cluster_SqlServer_Services_Keys 21data.Cluster_SqlServer_SqlProcess_Keys 22data.Cluster_SqlServer_TopQueries_Keys 23data.Cluster_SqlServer_Trace_Keys 24data.Group_Keys The full object type hierarchy looks like this: Cluster Machine LogicalDisk Network Process Services ResourceGroup Resource SqlServer Agent Job History Database BackupType Backup CustomMetric File Table Index Error Services SqlProcess TopQueries Trace Group Okay, but what about the individual objects themselves represented at each level in this hierarchy? Well that’s what the _Keys tables are for. This is probably best illustrated by way of a simple example – how can I query my own data repository to find the databases on my own PC for which monitoring data has been collected? Like this: SELECT clstr._Name AS cluster_name, srvr._Name AS instance_name, db._Name AS database_name FROM data.Cluster_SqlServer_Database_Keys db JOIN data.Cluster_SqlServer_Keys srvr ON db.ParentId = srvr.Id -- Note here how the parent of a Database is a Server JOIN data.Cluster_Keys clstr ON srvr.ParentId = clstr.Id -- Note here how the parent of a Server is a Cluster WHERE clstr._Name = 'dev-chrisl2' -- This is the hostname of my own PC ORDER BY clstr._Name, srvr._Name, db._Name;  cluster_nameinstance_namedatabase_name 1dev-chrisl2SqlMonitorData 2dev-chrisl2master 3dev-chrisl2model 4dev-chrisl2msdb 5dev-chrisl2mssqlsystemresource 6dev-chrisl2tempdb 7dev-chrisl2sql2005SqlMonitorData 8dev-chrisl2sql2005TestDatabase 9dev-chrisl2sql2005master 10dev-chrisl2sql2005model 11dev-chrisl2sql2005msdb 12dev-chrisl2sql2005mssqlsystemresource 13dev-chrisl2sql2005tempdb 14dev-chrisl2sql2008SqlMonitorData 15dev-chrisl2sql2008master 16dev-chrisl2sql2008model 17dev-chrisl2sql2008msdb 18dev-chrisl2sql2008mssqlsystemresource 19dev-chrisl2sql2008tempdb These results show that I have three SQL Server instances on my machine (a default instance, one named sql2005 and one named sql2008), and each instance has the usual set of system databases, along with a database named SqlMonitorData. Basically, this is where I test SQL Monitor on different versions of SQL Server, when I’m developing. There are a few important things we can learn from this query: Each _Keys table has a column named Id. This is the primary key. Each _Keys table has a column named ParentId. A foreign key relationship is defined between each _Keys table and its parent _Keys table in the hierarchy. There are two exceptions to this, Cluster_Keys and Group_Keys, because clusters and groups live at the root level of the object hierarchy. Each _Keys table has a column named _Name. This is used to uniquely identify objects in the table within the scope of the same shared parent object. Actually, that last item isn’t always true. In some cases, the _Name column is actually called something else. For example, the data.Cluster_Machine_Services_Keys table has a column named _ServiceName instead of _Name (sorry for the inconsistency). In other cases, a name isn’t sufficient to uniquely identify an object. For example, right now my PC has multiple processes running, all sharing the same name, Chrome (one for each tab open in my web-browser). In such cases, multiple columns are used to uniquely identify an object within the scope of the same shared parent object. Well, that’s it for now. I’ve given you enough information for you to explore the _Keys tables to see how objects are stored in your own data repositories. In a future post, I’ll try to explain how monitoring data is stored for each object, using the _StableSamples and _UnstableSamples tables. If you have any questions about this post, or suggestions for future posts, just submit them in the comments section below.

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  • New Feature in ODI 11.1.1.6: ODI for Big Data

    - by Julien Testut
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} By Ananth Tirupattur Starting with Oracle Data Integrator 11.1.1.6.0, ODI is offering a solution to process Big Data. This post provides an overview of this feature. With all the buzz around Big Data and before getting into the details of ODI for Big Data, I will provide a brief introduction to Big Data and Oracle Solution for Big Data. So, what is Big Data? Big data includes: structured data (this includes data from relation data stores, xml data stores), semi-structured data (this includes data from weblogs) unstructured data (this includes data from text blob, images) Traditionally, business decisions are based on the information gathered from transactional data. For example, transactional Data from CRM applications is fed to a decision system for analysis and decision making. Products such as ODI play a key role in enabling decision systems. However, with the emergence of massive amounts of semi-structured and unstructured data it is important for decision system to include them in the analysis to achieve better decision making capability. While there is an abundance of opportunities for business for gaining competitive advantages, process of Big Data has challenges. The challenges of processing Big Data include: Volume of data Velocity of data - The high Rate at which data is generated Variety of data In order to address these challenges and convert them into opportunities, we would need an appropriate framework, platform and the right set of tools. Hadoop is an open source framework which is highly scalable, fault tolerant system, for storage and processing large amounts of data. Hadoop provides 2 key services, distributed and reliable storage called Hadoop Distributed File System or HDFS and a framework for parallel data processing called Map-Reduce. Innovations in Hadoop and its related technology continue to rapidly evolve, hence therefore, it is highly recommended to follow information on the web to keep up with latest information. Oracle's vision is to provide a comprehensive solution to address the challenges faced by Big Data. Oracle is providing the necessary Hardware, software and tools for processing Big Data Oracle solution includes: Big Data Appliance Oracle NoSQL Database Cloudera distribution for Hadoop Oracle R Enterprise- R is a statistical package which is very popular among data scientists. ODI solution for Big Data Oracle Loader for Hadoop for loading data from Hadoop to Oracle. Further details can be found here: http://www.oracle.com/us/products/database/big-data-appliance/overview/index.html ODI Solution for Big Data: ODI’s goal is to minimize the need to understand the complexity of Hadoop framework and simplify the adoption of processing Big Data seamlessly in an enterprise. ODI is providing the capabilities for an integrated architecture for processing Big Data. This includes capability to load data in to Hadoop, process data in Hadoop and load data from Hadoop into Oracle. ODI is expanding its support for Big Data by providing the following out of the box Knowledge Modules (KMs). IKM File to Hive (LOAD DATA).Load unstructured data from File (Local file system or HDFS ) into Hive IKM Hive Control AppendTransform and validate structured data on Hive IKM Hive TransformTransform unstructured data on Hive IKM File/Hive to Oracle (OLH)Load processed data in Hive to Oracle RKM HiveReverse engineer Hive tables to generate models Using the Loading KM you can map files (local and HDFS files) to the corresponding Hive tables. For example, you can map weblog files categorized by date into a corresponding partitioned Hive table schema. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Hive control Append KM you can validate and transform data in Hive. In the below example, two source Hive tables are joined and mapped to a target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} The Hive Transform KM facilitates processing of semi-structured data in Hive. In the below example, the data from weblog is processed using a Perl script and mapped to target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Oracle Loader for Hadoop (OLH) KM you can load data from Hive table or HDFS to a corresponding table in Oracle. OLH is available as a standalone product. ODI greatly enhances OLH capability by generating the configuration and mapping files for OLH based on the configuration provided in the interface and KM options. ODI seamlessly invokes OLH when executing the scenario. In the below example, a HDFS file is mapped to a table in Oracle. Development and Deployment:The following diagram illustrates the development and deployment of ODI solution for Big Data. Using the ODI Studio on your development machine create and develop ODI solution for processing Big Data by connecting to a MySQL DB or Oracle database on a BDA machine or Hadoop cluster. Schedule the ODI scenarios to be executed on the ODI agent deployed on the BDA machine or Hadoop cluster. ODI Solution for Big Data provides several exciting new capabilities to facilitate the adoption of Big Data in an enterprise. You can find more information about the Oracle Big Data connectors on OTN. You can find an overview of all the new features introduced in ODI 11.1.1.6 in the following document: ODI 11.1.1.6 New Features Overview

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  • top tweets WebLogic Partner Community – June 2013

    - by JuergenKress
    Send us your tweets @wlscommunity #WebLogicCommunity and follow us on twitter http://twitter.com/wlscommunity. Please feel free to send us your news! Lucas Jellema ?Getting started with Java EE 7: The Tutorial http://docs.oracle.com/javaee/7/tutorial/doc/home.htm … Simon Haslam I'm looking forward to starting a "WLS on ODA" proof of concept - some ideas for testing: http://www.veriton.co.uk/roller/fmw/entry/virtualised_oda_proof_of_concept … Frank Munz ?It's not too late - I just submitted two presentations about #OracleWebLogic and #Coherence for the @DOAGeV conference in Nürnberg. Did you? Arun Gupta ?Tyrus 1.0 User Guide: https://tyrus.java.net/documentation/1.0/user-guide.html … #WebSocket #JavaEE7 #GlassFish Arun Gupta #JavaEE7 Launch Webinar Technical Breakout replays on Youtube: http://bit.ly/12uUicT JSON 1.0 , EJB .2, Batch 1.0 more coming! OracleBlogs ?FREE Virtual Developer Day: Java SE, Java EE, Java Emebedded on Jun 19th and 25th http://ow.ly/2xBkwV Markus Eisele #Oracle #JavaSE Critical Patch Update Pre-Release Announcement - June 2013 http://www.oracle.com/technetwork/topics/security/javacpujun2013-1899847.html … #security OracleSupport_WLS ?Simple Custom #JMX MBeans with #WebLogic 12c and #Spring http://pub.vitrue.com/3kEr Oracle Technet Building Java HTML5/WebSocket Applications with JSR 356 - 4pm - Grand Ballroom Salon A/B #qconnewyork WebLogic Community Oracle Fusion Middleware (OFM) 11g (11.1.1.7) Starter Kit available & Customizable Demos http://wp.me/p1LMIb-BK Oracle Technet #Java EE 7: Moving Java Forward for the Enterprise | @java http://pub.vitrue.com/tHiM OTNArchBeat ?Oracle Forms to ADF Modernization Reference - Convero (AMEC) Project | @AndrejusB http://pub.vitrue.com/lZPR WebLogic Community ?ExaLogic In Memory Applications & Whitepapers Building Large Scale E-Commerce Platforms & Rethink the Entire Application Lifecycle… WebLogic Community ?Coherence YouTube videos http://wp.me/p1LMIb-BG Arun Gupta ?WARNING: Next 2 days are going to be loaded with #JavaEE7 launch related tweets, and offline next week! JDeveloper & ADF Using Contextual Event in Oracle ADF http://dlvr.it/3Vpybr Oracle WebLogic Check out new blog on #hybrid_cloud & why choice is important http://bit.ly/1b1QGhL Andrejus Baranovskis Oracle Forms to ADF Modernization Reference - Convero (AMEC) Project http://fb.me/1M9iWNmAw WebLogic Community WebLogic on Oracle Database Appliance by Frances Zhao http://wp.me/p1LMIb-BE OTNArchBeat ?New: A-Team Chronicles >> A great resource for technical content covering Oracle Fusion Middleware / Fusion Apps http://pub.vitrue.com/qbzS Oracle for Partners ?Take Java To The Edge: Java Virtual Developer Day – June 19 & June 25 http://bit.ly/19fGlSX Adam Bien ?Looking forward to tomorrow's #javaee7 + #angularjs #html5 marriage at #jpoint. See you there: http://www.jpoint.nl/meetingpoint/editie-2013#sessie-1 … shay shmeltzer ?There is a new patch for the #Oracle #ADF Mobile extension - use help->check for updates to get it. Frank Munz ?Not using @OracleWebLogic 12c yet? Australia does! Reviews from my @AUSOUG workshops in Brisbane, Adelaide and Perth. http://goo.gl/BfVc4 Arun Gupta ?WebSocket, Server-Sent Events, #JavaEE7 sessions accepted at #jaxlondon ... that's gonna be at least third trip to London this year! WebLogic Community SPARC T5-8 Delivers Best Single System SPECjEnterprise2010 Benchmark running WebLogic 12c http://wp.me/p1LMIb-BC WebLogic Community The Ultimate Java EE Event - 16 Power Workshops mit allen wichtigen Java-EE-Themen http://wp.me/p1LMIb-BY Oracle WebLogic ?@OracleWebLogic 7 Jun New Blog Post: Using try-with-resources with JDBC objects http://ow.ly/2xryb5 JDeveloper & ADF Switching Lists of Values http://dlvr.it/3PbCkw WebLogic Community ?YouTube channel Learning Oracle's ADF http://wp.me/p1LMIb-zA Markus Eisele [GER] RT @heisedc: #Java-Entwicklung in #Oracles Public #Cloud http://heise.de/-1866388/ftw OracleBlogs ?Coherence Incubator & Community Source Code & Release Documentation http://ow.ly/2x2fXK chriscmuir ?New blog post: Migrating ADF Mobile apps from 1.0 to 1.1 https://blogs.oracle.com/onesizedoesntfitall/entry/migrating_adf_mobile_apps_from … JDeveloper & ADF ?ADF JavaScript Partitioning for Performance http://dlvr.it/3Trw15 WebLogic Community WebLogic Server Security Workshop June 27th 2013 Germany http://wp.me/p1LMIb-C7 WebLogic Community Oracle Optimized Solution for WebLogic Server 12c http://wp.me/p1LMIb-BA WebLogic Community Virtualize and Run Your Forms Applications in the Cloud - Now On Demand http://wp.me/p1LMIb-By Lucas Jellema Innteresting presentation on various aspects of end user assistance in Fusion Applications (ADF based): http://www.slideshare.net/uobroin/ouag-ireland-final2012slideshare … Adam Bien ?Summer Of JavaEE Workshops And Gigs: Free Hacking night:11.06.2013, Utrecht JavaEE 7 Meets HTML 5 and AngularJ... http://bit.ly/11XRjt4 WebLogic Community ?Real World ADF Design & Architecture Principles Trainings Germany, Poland & Portugal http://wp.me/p1LMIb-Bw Oracle for Partners ?JAVA Virtual Developer Day – June 19 & June 25 - Watch educational content and engage with Oracle experts online https://oracle.6connex.com/portal/java2013/login/?langR=en_US&mcc=OPNNSL … Markus Eisele ?[blog] Java EE 7 is final. Thoughts, Insights and further Pointers. http://dlvr.it/3SrxnB #javaee7 WebLogic Community Oracle takes the top spot for market share in the Application Server Market Segment for 2012 http://wp.me/p1LMIb-Bu OTNArchBeat ?Oracle ACE Director @LucasJellema is "very pleasantly surprised" with the new ADF Academy. http://pub.vitrue.com/8fad chriscmuir ?Sell out crowd for our ADF architecture course in Munich #adfarch pic.twitter.com/zhNtQJ25JV Markus Eisele ?[blog] New German Article: Java 7 Update 21 Security Improvements http://dlvr.it/3Sc8V9 #java #heise #security Markus Eisele ?[blog] New German Article: Oracle Java Cloud Service http://dlvr.it/3Sc20V #java #heise #OracleCloud OracleSupport_WLS ?Troubleshooting and Tuning with #WebLogic - Developer Webcast now available on #Youtube http://pub.vitrue.com/GSOy Andrejus Baranovskis New ADF Academy - Impressive Concept for ADF eLearning http://fb.me/2kYSMKKR5 OracleSupport_WLS ?Removing a #weblogic domain properly http://pub.vitrue.com/ZndM WebLogic Community WebLogic Partner Community Newsletter May 2013 http://wp.me/p1LMIb-Bp Oracle WebLogic ?Blog: Troubleshooting tools Part 3- Heap Dumps #Oracle #WebLogic Read the series http://bit.ly/14CQSD2 Oracle WebLogic ?Blog: #WebLogic_Server on #Oracle_Database_Appliance- How to conjure a WebLogic cluster- http://bit.ly/11fciHA Oracle WebLogic ?Check out new cool features in Oracle Traffic Director- http://bit.ly/11fbz9h WebLogic Community Additional new material WebLogic Community April 2013 http://wp.me/p1LMIb-zM WebLogic Community New WebLogic references - we want yours http://wp.me/p1LMIb-zK OracleSupport_WLS ?#Weblogic Session Replication jsession ID and F5 http://pub.vitrue.com/dWZp OracleBlogs ?top tweets WebLogic Partner Community May 2013 http://ow.ly/2xc8M5 WebLogic Community Welcome to the Spring edition of Oracle Scene http://wp.me/p1LMIb-zE Andreas Koop ?[blog post] ADF: Static Values View Object does not show any values (solved) http://bit.ly/14RDZ8p OracleBlogs ?ADF Mobile - accessing the SQLite database http://ow.ly/2x85r0 OracleSupport_WLS Youtube channel- Troubleshooting and Tuning with #WebLogic.#JRockit #SOAP #JRF http://pub.vitrue.com/qMxu Arun Gupta Next Java Magazine is all about #JavaEE7...productivity, HTML5, WebSocket, Batch & more. Subscribe http://ow.ly/lkD5D (@Oraclejavamag) Oracle WebLogic How to configure a #WebLogic cluster on #Oracle_Database_Appliance? It’s easy, read how. http://bit.ly/11fciHA Oracle WebLogic ?Blog: How to use Heap Dumps to troubleshooting memory leaks- #Oracle #WebLogic_Server http://bit.ly/14CQSD2 OracleBlogs ?Over 100 Images To Be Added to NetBeans Platform Showcase http://ow.ly/2x7Fvp Lucas Jellema A new release of the ADF EMG Task Flow Tester is now available for both JDeveloper 11 R1 and R2. https://java.net/projects/adf-task-flow-tester/pages/GettingStarted … WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: twitter,WebLogic,WebLogic Community,Oracle,OPN,Jürgen Kress

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  • MapReduce in DryadLINQ and PLINQ

    - by JoshReuben
    MapReduce See http://en.wikipedia.org/wiki/Mapreduce The MapReduce pattern aims to handle large-scale computations across a cluster of servers, often involving massive amounts of data. "The computation takes a set of input key/value pairs, and produces a set of output key/value pairs. The developer expresses the computation as two Func delegates: Map and Reduce. Map - takes a single input pair and produces a set of intermediate key/value pairs. The MapReduce function groups results by key and passes them to the Reduce function. Reduce - accepts an intermediate key I and a set of values for that key. It merges together these values to form a possibly smaller set of values. Typically just zero or one output value is produced per Reduce invocation. The intermediate values are supplied to the user's Reduce function via an iterator." the canonical MapReduce example: counting word frequency in a text file.     MapReduce using DryadLINQ see http://research.microsoft.com/en-us/projects/dryadlinq/ and http://connect.microsoft.com/Dryad DryadLINQ provides a simple and straightforward way to implement MapReduce operations. This The implementation has two primary components: A Pair structure, which serves as a data container. A MapReduce method, which counts word frequency and returns the top five words. The Pair Structure - Pair has two properties: Word is a string that holds a word or key. Count is an int that holds the word count. The structure also overrides ToString to simplify printing the results. The following example shows the Pair implementation. public struct Pair { private string word; private int count; public Pair(string w, int c) { word = w; count = c; } public int Count { get { return count; } } public string Word { get { return word; } } public override string ToString() { return word + ":" + count.ToString(); } } The MapReduce function  that gets the results. the input data could be partitioned and distributed across the cluster. 1. Creates a DryadTable<LineRecord> object, inputTable, to represent the lines of input text. For partitioned data, use GetPartitionedTable<T> instead of GetTable<T> and pass the method a metadata file. 2. Applies the SelectMany operator to inputTable to transform the collection of lines into collection of words. The String.Split method converts the line into a collection of words. SelectMany concatenates the collections created by Split into a single IQueryable<string> collection named words, which represents all the words in the file. 3. Performs the Map part of the operation by applying GroupBy to the words object. The GroupBy operation groups elements with the same key, which is defined by the selector delegate. This creates a higher order collection, whose elements are groups. In this case, the delegate is an identity function, so the key is the word itself and the operation creates a groups collection that consists of groups of identical words. 4. Performs the Reduce part of the operation by applying Select to groups. This operation reduces the groups of words from Step 3 to an IQueryable<Pair> collection named counts that represents the unique words in the file and how many instances there are of each word. Each key value in groups represents a unique word, so Select creates one Pair object for each unique word. IGrouping.Count returns the number of items in the group, so each Pair object's Count member is set to the number of instances of the word. 5. Applies OrderByDescending to counts. This operation sorts the input collection in descending order of frequency and creates an ordered collection named ordered. 6. Applies Take to ordered to create an IQueryable<Pair> collection named top, which contains the 100 most common words in the input file, and their frequency. Test then uses the Pair object's ToString implementation to print the top one hundred words, and their frequency.   public static IQueryable<Pair> MapReduce( string directory, string fileName, int k) { DryadDataContext ddc = new DryadDataContext("file://" + directory); DryadTable<LineRecord> inputTable = ddc.GetTable<LineRecord>(fileName); IQueryable<string> words = inputTable.SelectMany(x => x.line.Split(' ')); IQueryable<IGrouping<string, string>> groups = words.GroupBy(x => x); IQueryable<Pair> counts = groups.Select(x => new Pair(x.Key, x.Count())); IQueryable<Pair> ordered = counts.OrderByDescending(x => x.Count); IQueryable<Pair> top = ordered.Take(k);   return top; }   To Test: IQueryable<Pair> results = MapReduce(@"c:\DryadData\input", "TestFile.txt", 100); foreach (Pair words in results) Debug.Print(words.ToString());   Note: DryadLINQ applications can use a more compact way to represent the query: return inputTable         .SelectMany(x => x.line.Split(' '))         .GroupBy(x => x)         .Select(x => new Pair(x.Key, x.Count()))         .OrderByDescending(x => x.Count)         .Take(k);     MapReduce using PLINQ The pattern is relevant even for a single multi-core machine, however. We can write our own PLINQ MapReduce in a few lines. the Map function takes a single input value and returns a set of mapped values àLINQ's SelectMany operator. These are then grouped according to an intermediate key à LINQ GroupBy operator. The Reduce function takes each intermediate key and a set of values for that key, and produces any number of outputs per key à LINQ SelectMany again. We can put all of this together to implement MapReduce in PLINQ that returns a ParallelQuery<T> public static ParallelQuery<TResult> MapReduce<TSource, TMapped, TKey, TResult>( this ParallelQuery<TSource> source, Func<TSource, IEnumerable<TMapped>> map, Func<TMapped, TKey> keySelector, Func<IGrouping<TKey, TMapped>, IEnumerable<TResult>> reduce) { return source .SelectMany(map) .GroupBy(keySelector) .SelectMany(reduce); } the map function takes in an input document and outputs all of the words in that document. The grouping phase groups all of the identical words together, such that the reduce phase can then count the words in each group and output a word/count pair for each grouping: var files = Directory.EnumerateFiles(dirPath, "*.txt").AsParallel(); var counts = files.MapReduce( path => File.ReadLines(path).SelectMany(line => line.Split(delimiters)), word => word, group => new[] { new KeyValuePair<string, int>(group.Key, group.Count()) });

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  • Notifications for Expiring DBSNMP Passwords

    - by Courtney Llamas
    Most user accounts these days have a password profile on them that automatically expires the password after a set number of days.   Depending on your company’s security requirements, this may be as little as 30 days or as long as 365 days, although typically it falls between 60-90 days. For a normal user, this can cause a small interruption in your day as you have to go get your password reset by an admin. When this happens to privileged accounts, such as the DBSNMP account that is responsible for monitoring database availability, it can cause bigger problems. In Oracle Enterprise Manager 12c you may notice the error message “ORA-28002: the password will expire within 5 days” when you connect to a target, or worse you may get “ORA-28001: the password has expired". If you wait too long, your monitoring will fail because the password is locked out. Wouldn’t it be nice if we could get an alert 10 days before our DBSNMP password expired? Thanks to Oracle Enterprise Manager 12c Metric Extensions (ME), you can! See the Oracle Enterprise Manager Cloud Control Administrator’s Guide for more information on Metric Extensions. To create a metric extension, select Enterprise / Monitoring / Metric Extensions, and then click on Create. On the General Properties screen select either Cluster Database or Database Instance, depending on which target you need to monitor.  If you have both RAC and Single instance you may need to create one for each. In this example we will create a Cluster Database metric.  Enter a Name for the ME and a Display Name. Then select SQL for the Adapter.  Adjust the Collection Schedule as desired, for this example we will collect this metric every 1 day. Notice for metric collected every day, we can determine the exact time we want to collect. On the Adapter page, enter the query that you wish to execute.  In this example we will use the query below that specifically checks for the DBSNMP user that is expiring within 10 days. Of course, you can adjust this query to alert for any user that can cause an outage such as an application account or service account such as RMAN. select username, account_status, trunc(expiry_date-sysdate) days_to_expirefrom dba_userswhere username = 'DBSNMP'and expiry_date is not null; The next step is to create the columns to store the data returned from the query.  Click Add and add a column for each of the fields in the same order that data is returned.  The table below will help you complete the column additions. Name Display Name Column Type Value Type Metric Category Unit Username User Name Key String Security AccountStatus Account Status Data String Security DaysToExpire Days Until Expiration Data Number Security Days When creating the DaysToExpire column, you can add a default threshold here for Warning and Critical (say < 10 and 5).  When all columns have been added, click Next. On the Credentials page, you can choose to use the default monitoring credentials or specify new credentials.  We will use the default credentials established for our target (dbsnmp). The next step is to test your Metric Extension.  Click on Add to select a target for testing, then click Select. Now click the button Run Test to execute the test against the selected target(s). We can see in the example below that the Metric Extension has executed and returned a value of 68 days to expire. Click Next to proceed. Review the metric extension in the final screen and click Finish. The metric will be created in Editable status.  Select the metric, click Actions and select Deployable Draft. You can do this once more to move to Published. Finally, we want to apply this metric to a target. When managing many targets, it’s best to add your metric to a template, for details on adding a Metric Extension to a template see the Administrator’s Guide. For this example, we will deploy this to a target directly. Select Actions / Deploy to Targets. Click Add and select the target you wish to deploy to and click Submit.  Once deployment is complete, we can go to the target and view the Metric & Collection Settings to see the new metric and its thresholds.   After some time, you will find the metric has collected and the days to expiration for DBSNMP user can be seen in the All Metrics view.   For metrics collected once per day, you may have to wait up to 24 hours to see the metric and current severity. In the example below, the current severity is Clear (green check) as it is not scheduled to expire within 10 days. To test the notification, we can edit the thresholds for the new metric so they trigger an alert.  Our password expires in 139 days, so we’ll change our Warning to 140 and leave Critical at 5, in our example we also changed the collection time to every 5 minutes.  At the next collection, you’ll find that the current severity changes to a Warning and any related Incident Rules would be triggered to create an Incident or Notification as desired. Now that you get a notification that your DBSNMP passwords is about to expire, you can use OEM Command Line Interface (EM CLI) verb update_db_password to change it at both the database target and the OEM target in one step.  The caveat is you must know the existing password to use the update_db_password command.  To learn more about EM CLI, see the Oracle Enterprise Manager Command Line Interface Guide.  Below is an example of changing the password with the update_db_password verb.  $ ./emcli update_db_password -target_name=emrep -target_type=oracle_database -user_name=dbsnmp -change_at_target=yes -change_all_references=yes Enter value for old_password :Enter value for new_password :Enter value for retype_new_password :Successfully submitted a job to change the password in Enterprise Manager and on the target database: "emrep"Execute "emcli get_jobs -job_id=FA66C1C4D663297FE0437656F20ACC84" to check the status of the job.Search for job name "CHANGE_PWD_JOB_FA66C1C4D662297FE0437656F20ACC84" on the Jobs home page to check job execution details. The subsequent job created will typically run quickly enough that a blackout is not needed, however if you submit a script with many targets to change, your job may run slower so adding a blackout to the script is recommended. $ ./emcli get_jobs -job_id=FA66C1C4D663297FE0437656F20ACC84 Name Type Job ID Execution ID Scheduled Completed TZ Offset Status Status ID Owner Target Type Target Name CHANGE_PWD_JOB_FA66C1C4D662297FE0437656F20ACC84 ChangePassword FA66C1C4D663297FE0437656F20ACC84 FA66C1C4D665297FE0437656F20ACC84 2014-05-28 09:39:12 2014-05-28 09:39:18 GMT-07:00 Succeeded 5 SYSMAN oracle_database emrep After implementing the above Metric Extension and using the EM CLI update_db_password verb, you will be able to stay on top of your DBSNMP password changes without experiencing an unplanned monitoring outage.  

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  • VNIC - New feature of AK8 - Working with VNICs

    - by Steve Tunstall
    One of the important new features of the AK8 code is the ability to use multiple IP addresses on the same physical network port. This feature is called VNICs, or Virtual NICs. This allows us to no longer "burn" a whole port in a cluster when one cluster peer owns a network port. Traditionally, we have had to leave Net0 empty on controller 2, because it was used for managing controller 1. Vise-versa for Net1 on Controller 1. Then, if you have data going over 10GigE ports, you probably only had half of your ports running at any given time, and the partner 10GigE port on the other controller just sat there, doing nothing, unless the first controller went down. What a waste. Those days are over.  I want to thank and give a big shout-out to our good partner, OnX Enterprise Solutions, for allowing me to come into their lab and play around with their 7320 to do this demo. They let me make a big mess of their lab for the day as I played around with VNICs. If you're looking for a partner who knows Oracle well and can also piece together a solution from multiple vendors to get you what you need, OnX is a good choice. If you would like to talk to your local OnX rep, you can contact Scott Gill at [email protected] and he can point you in the right direction for your area.  Here we go: Here is what your Datalinks window looks like BEFORE you upgrade to AK8. Here's what the same screen looks like after you upgrade. See the new box? So here is my current network setup. I have my 4 physical interfaces setup each with an IP address. If I ping them, no problems.  So I can ping 180, 181, 251, and 252. However, if I try to ping 240, it does not work, as the 240 address is not being used by any of these interfaces, right?Let's change that. Here, I'm going to make a new Datalink by clicking the Datalink "Plus sign" button. I will check the VNIC box and tell it to use igb2, even though another interface is already using it. Now, I will create a new Interface, and choose "v_dl2" for it's datalink. My new network screen looks like this. A few things to take note of here. First, when I click the "igb2" device, it only highlights dl2 and int2. It does not highlight v_dl2 or v_int2.I think it should, but OK, it looks like VNICs don't highlight when you click the device. Second, note how the underscore character in v_dl2 and v_int2 do not seem to show on this screen. You can see it plainly if you go in and edit them, but from here it looks like a space instead of an underscore. Just a cosmetic bug, but something to be aware of. Now, if I click the VNIC datalink "v_dl2", on the other hand, it DOES highlight the device it belongs to, as it should. Seen here: Note that it did not, however, highlight int2 with it, even though int2 is connected to igb2. That's because we clicked v_dl2, which int2 has nothing to do with. So I'm OK with that. So let's try pinging 240 now. Of course, it works great.  So I now make another VNIC, and call it v_dl3 using igb3, and v_int3 with an address of 241. I then setup three shares, using ports 251, 240, and 241.Remember that IP 251 and 240 both are using the same physical port of igb2, and IP 241 is using port igb3. Next, I copy a folder full of stuff over to all three shares at the same time. I have analytics going so I can see the traffic. My top chart is showing the logical interfaces, and the bottom chart is showing the physical ports.Sure enough, look at the igb2 and vnic1 interfaces. They equal the traffic going over the igb2 physical port on the second chart. VNIC2, on the other hand, gets igb3 all to itself. This would work the same way with 10Gig or Infiniband ports. You can now have multiple IP addresses and even completely different subnets sharing the same physical ports. You may need to make route table entries for that. This allows us to use all of the ports you paid for with no more waste.  Very, very cool.  One small "bug" I found when doing this. It's really not a bug, it was designed to do this when VNICs were not around. But now that we have NVIC capability, they should probably change this. I've alerted the engineering team about this and they're looking into it, so perhaps it will be fixed in a later code. Here it is. Remember when we made the new VNIC datalink, I specifically said to click on the "Plus Sign" button to create it? I don't always do that. I really like to use the drag-and-drop method to create my datalinks in the network screen.HOWEVER, if you were to do that for building a VNIC, it will mess you up a little. Watch this. Here, I'm dragging igb3 over to make a new datalink. igb3 is already being used by dl3, but I'm going to make this a VNIC, so who cares, right? Well, the ZFSSA does not KNOW you are going to make it a VNIC, now does it? So... it works as designed and REMOVES the igb3 device from the current dl3 datalink in the background. See how it's now missing? At the same time, the dl3 datalink choice is missing from my list of possible VNICs for me to choose from!!!! Hey!!! I wanted to pick dl3. Why isn't it on the list??? Well, it can't be on this list because dl3 no longer has a device associated with it. Bummer for you. When you click cancel, the device is still missing from dl3. The fix is easy. Just edit dl3 by clicking the pencil button, do absolutely nothing, and click "Apply". The device will magically come back. Now, make the VNIC datalink by clicking the "Plus Sign" button. Sure enough, once you check the VNIC box, dl3 is a valid choice. No problem.  That's it for now. Have fun with VNICs.

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  • SPARC T5-4 LDoms for RAC and WebLogic Clusters

    - by Jeff Taylor-Oracle
    I wanted to use two Oracle SPARC T5-4 servers to simultaneously host both Oracle RAC and a WebLogic Server Cluster. I chose to use Oracle VM Server for SPARC to create a cluster like this: There are plenty of trade offs and decisions that need to be made, for example: Rather than configuring the system by hand, you might want to use an Oracle SuperCluster T5-8 My configuration is similar to jsavit's: Availability Best Practices - Example configuring a T5-8 but I chose to ignore some of the advice. Maybe I should have included an  alternate service domain, but I decided that I already had enough redundancy Both Oracle SPARC T5-4 servers were to be configured like this: Cntl 0.25  4  64GB                     App LDom                    2.75 CPU's                                        44 cores                                          704 GB              DB LDom      One CPU         16 cores         256 GB   The systems started with everything in the primary domain: # ldm list NAME             STATE      FLAGS   CONS    VCPU  MEMORY   UTIL  NORM  UPTIME primary          active     -n-c--  UART    512   1023G    0.0%  0.0%  11m # ldm list-spconfig factory-default [current] primary # ldm list -o core,memory,physio NAME              primary           CORE     CID    CPUSET     0      (0, 1, 2, 3, 4, 5, 6, 7)     1      (8, 9, 10, 11, 12, 13, 14, 15)     2      (16, 17, 18, 19, 20, 21, 22, 23) -- SNIP     62     (496, 497, 498, 499, 500, 501, 502, 503)     63     (504, 505, 506, 507, 508, 509, 510, 511) MEMORY     RA               PA               SIZE                 0x30000000       0x30000000       255G     0x80000000000    0x80000000000    256G     0x100000000000   0x100000000000   256G     0x180000000000   0x180000000000   256G # Give this memory block to the DB LDom IO     DEVICE                           PSEUDONYM        OPTIONS     pci@300                          pci_0                pci@340                          pci_1                pci@380                          pci_2                pci@3c0                          pci_3                pci@400                          pci_4                pci@440                          pci_5                pci@480                          pci_6                pci@4c0                          pci_7                pci@300/pci@1/pci@0/pci@6        /SYS/RCSA/PCIE1     pci@300/pci@1/pci@0/pci@c        /SYS/RCSA/PCIE2     pci@300/pci@1/pci@0/pci@4/pci@0/pci@c /SYS/MB/SASHBA0     pci@300/pci@1/pci@0/pci@4/pci@0/pci@8 /SYS/RIO/NET0        pci@340/pci@1/pci@0/pci@6        /SYS/RCSA/PCIE3     pci@340/pci@1/pci@0/pci@c        /SYS/RCSA/PCIE4     pci@380/pci@1/pci@0/pci@a        /SYS/RCSA/PCIE9     pci@380/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE10     pci@3c0/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE11     pci@3c0/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE12     pci@400/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE5     pci@400/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE6     pci@440/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE7     pci@440/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE8     pci@480/pci@1/pci@0/pci@a        /SYS/RCSA/PCIE13     pci@480/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE14     pci@4c0/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE15     pci@4c0/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE16     pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c /SYS/MB/SASHBA1     pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@4 /SYS/RIO/NET2    Added an additional service processor configuration: # ldm add-spconfig split # ldm list-spconfig factory-default primary split [current] And removed many of the resources from the primary domain: # ldm start-reconf primary # ldm set-core 4 primary # ldm set-memory 32G primary # ldm rm-io pci@340 primary # ldm rm-io pci@380 primary # ldm rm-io pci@3c0 primary # ldm rm-io pci@400 primary # ldm rm-io pci@440 primary # ldm rm-io pci@480 primary # ldm rm-io pci@4c0 primary # init 6 Needed to add resources to the guest domains: # ldm add-domain db # ldm set-core cid=`seq -s"," 48 63` db # ldm add-memory mblock=0x180000000000:256G db # ldm add-io pci@480 db # ldm add-io pci@4c0 db # ldm add-domain app # ldm set-core 44 app # ldm set-memory 704G  app # ldm add-io pci@340 app # ldm add-io pci@380 app # ldm add-io pci@3c0 app # ldm add-io pci@400 app # ldm add-io pci@440 app Needed to set up services: # ldm add-vds primary-vds0 primary # ldm add-vcc port-range=5000-5100 primary-vcc0 primary Needed to add a virtual network port for the WebLogic application domain: # ipadm NAME              CLASS/TYPE STATE        UNDER      ADDR lo0               loopback   ok           --         --    lo0/v4         static     ok           --         ...    lo0/v6         static     ok           --         ... net0              ip         ok           --         ...    net0/v4        static     ok           --         xxx.xxx.xxx.xxx/24    net0/v6        addrconf   ok           --         ....    net0/v6        addrconf   ok           --         ... net8              ip         ok           --         --    net8/v4        static     ok           --         ... # dladm show-phys LINK              MEDIA                STATE      SPEED  DUPLEX    DEVICE net1              Ethernet             unknown    0      unknown   ixgbe1 net0              Ethernet             up         1000   full      ixgbe0 net8              Ethernet             up         10     full      usbecm2 # ldm add-vsw net-dev=net0 primary-vsw0 primary # ldm add-vnet vnet1 primary-vsw0 app Needed to add a virtual disk to the WebLogic application domain: # format Searching for disks...done AVAILABLE DISK SELECTIONS:        0. c0t5000CCA02505F874d0 <HITACHI-H106060SDSUN600G-A2B0-558.91GB>           /scsi_vhci/disk@g5000cca02505f874           /dev/chassis/SPARC_T5-4.AK00084038/SYS/SASBP0/HDD0/disk        1. c0t5000CCA02506C468d0 <HITACHI-H106060SDSUN600G-A2B0-558.91GB>           /scsi_vhci/disk@g5000cca02506c468           /dev/chassis/SPARC_T5-4.AK00084038/SYS/SASBP0/HDD1/disk        2. c0t5000CCA025067E5Cd0 <HITACHI-H106060SDSUN600G-A2B0-558.91GB>           /scsi_vhci/disk@g5000cca025067e5c           /dev/chassis/SPARC_T5-4.AK00084038/SYS/SASBP0/HDD2/disk        3. c0t5000CCA02506C258d0 <HITACHI-H106060SDSUN600G-A2B0-558.91GB>           /scsi_vhci/disk@g5000cca02506c258           /dev/chassis/SPARC_T5-4.AK00084038/SYS/SASBP0/HDD3/disk Specify disk (enter its number): ^C # ldm add-vdsdev /dev/dsk/c0t5000CCA02506C468d0s2 HDD1@primary-vds0 # ldm add-vdisk HDD1 HDD1@primary-vds0 app Add some additional spice to the pot: # ldm set-variable auto-boot\\?=false db # ldm set-variable auto-boot\\?=false app # ldm set-var boot-device=HDD1 app Bind the logical domains: # ldm bind db # ldm bind app At the end of the process, the system is set up like this: # ldm list -o core,memory,physio NAME             primary          CORE     CID    CPUSET     0      (0, 1, 2, 3, 4, 5, 6, 7)     1      (8, 9, 10, 11, 12, 13, 14, 15)     2      (16, 17, 18, 19, 20, 21, 22, 23)     3      (24, 25, 26, 27, 28, 29, 30, 31) MEMORY     RA               PA               SIZE                0x30000000       0x30000000       32G IO     DEVICE                           PSEUDONYM        OPTIONS     pci@300                          pci_0               pci@300/pci@1/pci@0/pci@6        /SYS/RCSA/PCIE1     pci@300/pci@1/pci@0/pci@c        /SYS/RCSA/PCIE2     pci@300/pci@1/pci@0/pci@4/pci@0/pci@c /SYS/MB/SASHBA0     pci@300/pci@1/pci@0/pci@4/pci@0/pci@8 /SYS/RIO/NET0   ------------------------------------------------------------------------------ NAME             app              CORE     CID    CPUSET     4      (32, 33, 34, 35, 36, 37, 38, 39)     5      (40, 41, 42, 43, 44, 45, 46, 47)     6      (48, 49, 50, 51, 52, 53, 54, 55)     7      (56, 57, 58, 59, 60, 61, 62, 63)     8      (64, 65, 66, 67, 68, 69, 70, 71)     9      (72, 73, 74, 75, 76, 77, 78, 79)     10     (80, 81, 82, 83, 84, 85, 86, 87)     11     (88, 89, 90, 91, 92, 93, 94, 95)     12     (96, 97, 98, 99, 100, 101, 102, 103)     13     (104, 105, 106, 107, 108, 109, 110, 111)     14     (112, 113, 114, 115, 116, 117, 118, 119)     15     (120, 121, 122, 123, 124, 125, 126, 127)     16     (128, 129, 130, 131, 132, 133, 134, 135)     17     (136, 137, 138, 139, 140, 141, 142, 143)     18     (144, 145, 146, 147, 148, 149, 150, 151)     19     (152, 153, 154, 155, 156, 157, 158, 159)     20     (160, 161, 162, 163, 164, 165, 166, 167)     21     (168, 169, 170, 171, 172, 173, 174, 175)     22     (176, 177, 178, 179, 180, 181, 182, 183)     23     (184, 185, 186, 187, 188, 189, 190, 191)     24     (192, 193, 194, 195, 196, 197, 198, 199)     25     (200, 201, 202, 203, 204, 205, 206, 207)     26     (208, 209, 210, 211, 212, 213, 214, 215)     27     (216, 217, 218, 219, 220, 221, 222, 223)     28     (224, 225, 226, 227, 228, 229, 230, 231)     29     (232, 233, 234, 235, 236, 237, 238, 239)     30     (240, 241, 242, 243, 244, 245, 246, 247)     31     (248, 249, 250, 251, 252, 253, 254, 255)     32     (256, 257, 258, 259, 260, 261, 262, 263)     33     (264, 265, 266, 267, 268, 269, 270, 271)     34     (272, 273, 274, 275, 276, 277, 278, 279)     35     (280, 281, 282, 283, 284, 285, 286, 287)     36     (288, 289, 290, 291, 292, 293, 294, 295)     37     (296, 297, 298, 299, 300, 301, 302, 303)     38     (304, 305, 306, 307, 308, 309, 310, 311)     39     (312, 313, 314, 315, 316, 317, 318, 319)     40     (320, 321, 322, 323, 324, 325, 326, 327)     41     (328, 329, 330, 331, 332, 333, 334, 335)     42     (336, 337, 338, 339, 340, 341, 342, 343)     43     (344, 345, 346, 347, 348, 349, 350, 351)     44     (352, 353, 354, 355, 356, 357, 358, 359)     45     (360, 361, 362, 363, 364, 365, 366, 367)     46     (368, 369, 370, 371, 372, 373, 374, 375)     47     (376, 377, 378, 379, 380, 381, 382, 383) MEMORY     RA               PA               SIZE                0x30000000       0x830000000      192G     0x4000000000     0x80000000000    256G     0x8080000000     0x100000000000   256G IO     DEVICE                           PSEUDONYM        OPTIONS     pci@340                          pci_1               pci@380                          pci_2               pci@3c0                          pci_3               pci@400                          pci_4               pci@440                          pci_5               pci@340/pci@1/pci@0/pci@6        /SYS/RCSA/PCIE3     pci@340/pci@1/pci@0/pci@c        /SYS/RCSA/PCIE4     pci@380/pci@1/pci@0/pci@a        /SYS/RCSA/PCIE9     pci@380/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE10     pci@3c0/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE11     pci@3c0/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE12     pci@400/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE5     pci@400/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE6     pci@440/pci@1/pci@0/pci@e        /SYS/RCSA/PCIE7     pci@440/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE8 ------------------------------------------------------------------------------ NAME             db               CORE     CID    CPUSET     48     (384, 385, 386, 387, 388, 389, 390, 391)     49     (392, 393, 394, 395, 396, 397, 398, 399)     50     (400, 401, 402, 403, 404, 405, 406, 407)     51     (408, 409, 410, 411, 412, 413, 414, 415)     52     (416, 417, 418, 419, 420, 421, 422, 423)     53     (424, 425, 426, 427, 428, 429, 430, 431)     54     (432, 433, 434, 435, 436, 437, 438, 439)     55     (440, 441, 442, 443, 444, 445, 446, 447)     56     (448, 449, 450, 451, 452, 453, 454, 455)     57     (456, 457, 458, 459, 460, 461, 462, 463)     58     (464, 465, 466, 467, 468, 469, 470, 471)     59     (472, 473, 474, 475, 476, 477, 478, 479)     60     (480, 481, 482, 483, 484, 485, 486, 487)     61     (488, 489, 490, 491, 492, 493, 494, 495)     62     (496, 497, 498, 499, 500, 501, 502, 503)     63     (504, 505, 506, 507, 508, 509, 510, 511) MEMORY     RA               PA               SIZE                0x80000000       0x180000000000   256G IO     DEVICE                           PSEUDONYM        OPTIONS     pci@480                          pci_6               pci@4c0                          pci_7               pci@480/pci@1/pci@0/pci@a        /SYS/RCSA/PCIE13     pci@480/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE14     pci@4c0/pci@1/pci@0/pci@8        /SYS/RCSA/PCIE15     pci@4c0/pci@1/pci@0/pci@4        /SYS/RCSA/PCIE16     pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c /SYS/MB/SASHBA1     pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@4 /SYS/RIO/NET2   Start the domains: # ldm start app LDom app started # ldm start db LDom db started Make sure to start the vntsd service that was created, above. # svcs -a | grep ldo disabled        8:38:38 svc:/ldoms/vntsd:default online          8:38:58 svc:/ldoms/agents:default online          8:39:25 svc:/ldoms/ldmd:default # svcadm enable vntsd Now use the MAC address to configure the Solaris 11 Automated Installation. Database Logical Domain # telnet localhost 5000 {0} ok devalias screen                   /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@7/display@0 disk7                    /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c/scsi@0/disk@p3 disk6                    /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c/scsi@0/disk@p2 disk5                    /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c/scsi@0/disk@p1 disk4                    /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c/scsi@0/disk@p0 scsi1                    /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@c/scsi@0 net3                     /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@4/network@0,1 net2                     /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@4/network@0 virtual-console          /virtual-devices/console@1 name                     aliases {0} ok boot net2 Boot device: /pci@4c0/pci@1/pci@0/pci@c/pci@0/pci@4/network@0  File and args: 1000 Mbps full duplex Link up Requesting Internet Address for xx:xx:xx:xx:xx:xx Requesting Internet Address for xx:xx:xx:xx:xx:xx WLS Logical Domain # telnet localhost 5001 {0} ok devalias hdd1                     /virtual-devices@100/channel-devices@200/disk@0 vnet1                    /virtual-devices@100/channel-devices@200/network@0 net                      /virtual-devices@100/channel-devices@200/network@0 disk                     /virtual-devices@100/channel-devices@200/disk@0 virtual-console          /virtual-devices/console@1 name                     aliases {0} ok boot net Boot device: /virtual-devices@100/channel-devices@200/network@0  File and args: Requesting Internet Address for xx:xx:xx:xx:xx:xx Requesting Internet Address for xx:xx:xx:xx:xx:xx Repeat the process for the second SPARC T5-4, install Solaris, RAC and WebLogic Cluster, and you are ready to go. Maybe buying a SuperCluster would have been easier.

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