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  • matlab get color

    - by iteratorr
    I am using matlab for cluster visualization. I want to somehow get the color of my current cluster center fill in the plot and draw line of same color to cluster members. How can I get the color?

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  • Can computer clusters be used for general everyday applications?

    - by Matt Pascoe
    Does anyone know how a computer cluster can be used for everyday applications, like for example video games? I would like to build a computer cluster that can run applications over the cluster that were not specifically designed for computer clusters and still see the performance increase. One use would be for video games, but I would also like to utilize the increased computing power for running a large network of virtualized machines.

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  • What db fits me?

    - by afvasd
    Dear Everyone I am currently using mysql. I am finding that my schema is getting incredibly complicated. I seek to find a new db that will suit my needs: Let's assume I am building a news aggregrator (which collects news from multiple website). I then run algorithms to determine if two news from different sites are actually referring to the same topic. I run this algorithm to cluster news together. The relationship is depicted below: cluster \--news1 \--word1 \--word2 \--news2 \--word3 \--news3 \--word1 \--word3 And then I will apply some magic and determine the importance of each word. Summing all the importance of each word gives me the importance of a news article. Summing the importance of each news article gives me the importance of a cluster. Note that above cluster there are also subgroups( like split by region etc), and categories (like sports, etc) which I have to determine the importance of that in a particular day per se. I have used views in the past to do so, but I realized that views are very slow. So i will normally do an insert into an actual table and index them for better performance. As you can see this leads to multiple tables derived like (cluster, importance), (news, importance), (words, importance) etc which can get pretty messy. Also the "importance" metric will change. It has become increasingly difficult to alter tables, update data (which I am using TRUNCATE TABLE) and then inserting from null. I am currently looking into something schemaless like Mongodb. I do not need distributedness. I would very much want something that is reasonably fast (which can be indexed) and something that is a lot more flexible that traditional RDMBS. Also, I need something that has some kind of ORM because I personally like ORM a lot. I am currently using sqlalchemy Please help!

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  • Looking for advice on Hyper-v storage replication

    - by Notre1
    I am designing a 2-host Hyper-V R2 cluster with 6-10 guests stored on a SMB iSCSI SAN device (probably Promise VessRAID). I will be getting at least two of the SAN devices and need to eliminate the storage a single point of failure. Ideally, that would involve real-time failover for the storage, like the Windows failover clustering does for the hosts. This design will be used at around six of our sites, and I would like to allow for us to eventually setup a cluster at colocation site and replicate each site's VMs there for DR. (Ideally a live multi-site cluster, but a manual import of the VMs would be fine for this sort of DR.) The tools that come with enterprise SANs, like EMC and NetApp, seem to be the most commonly used items for a Hyper-V cluster, but I can't afford their prices with my budget. Outside of them, the two tools that seem to be most common for Hyper-V storage replication are SteelEye (now SIOS) DataKeeper Cluster Edition and Double-Take Availability. Originally, I was planning on using Clustered Shared Volume(s) (CSV), but it seems like replication support for these is either not available or brand new in both these products. It looks like CSVs are supported in Double-Take 5.22, see this discussion, but I don't think I want to run something that new in production. Right now, it seems like the best option for me is not to implement CSVs, implement some sort of storage replication, and upgrade to CSVs at a later date once replicating them is more mature. I would love to have live migration, and CSVs are not required for live migration if you are using one LUN per VM, so I guess this is what I'll do. I would prefer to stick to the using the Microsoft Windows Server and Hyper-V tools and features as much as possible. From that standpoint, SteelEye looks more appealing than Double-Take because they make the DataKeeper volume(s) available to the Failover Clustering Manager and then failover clustering is all configured and managed through the native Microsoft tools. Double-Take says that "clustered Hyper-V hosts are not supported," and Double-Take Availability itself seems to be what is used for the actual clustering and failover. Does anyone know if any of these replication tools work with more than two hosts in the cluster? All the information I can find on the web only uses two hosts in their examples. Are there any better tools than SteelEye and Double-Take for doing what I am trying to do, which is eliminate the storage as as single point of failure? Neverfail, AppAssure, and DataCore all seem to offer similar functionality, but they don't seems to be as popular as SteelEye and Double-Take. I have seen a number of people suggest using Starwind iSCSI SAN software for the shared storage, which includes replication (and CSV replication at that). There are a couple of reasons I have not seriously considered this route: 1) The company I work for is exclusively a Dell shop and Dell does not have any servers with that I can pack with more than six 3.5" SATA drives. 2) In the future, it could be advantegous for us to not be locked into a particular brand or type of storage and third-party replication softwares all allow replication to heterogeneous storage devices. I am pretty new to iSCSI and clustering, so please let me know if it looks like I am planning something that goes against best practices or overlooking/missing something.

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  • Looking for advice on Hyper-v storage replication

    - by Notre1
    I am designing a 2-host Hyper-V R2 cluster with 6-10 guests stored on a SMB iSCSI SAN device (probably Promise VessRAID). I will be getting at least two of the SAN devices and need to eliminate the storage a single point of failure. Ideally, that would involve real-time failover for the storage, like the Windows failover clustering does for the hosts. This design will be used at around six of our sites, and I would like to allow for us to eventually setup a cluster at colocation site and replicate each site's VMs there for DR. (Ideally a live multi-site cluster, but a manual import of the VMs would be fine for this sort of DR.) The tools that come with enterprise SANs, like EMC and NetApp, seem to be the most commonly used items for a Hyper-V cluster, but I can't afford their prices with my budget. Outside of them, the two tools that seem to be most common for Hyper-V storage replication are SteelEye (now SIOS) DataKeeper Cluster Edition and Double-Take Availability. Originally, I was planning on using Clustered Shared Volume(s) (CSV), but it seems like replication support for these is either not available or brand new in both these products. It looks like CSVs are supported in Double-Take 5.22, see this discussion, but I don't think I want to run something that new in production. Right now, it seems like the best option for me is not to implement CSVs, implement some sort of storage replication, and upgrade to CSVs at a later date once replicating them is more mature. I would love to have live migration, and CSVs are not required for live migration if you are using one LUN per VM, so I guess this is what I'll do. I would prefer to stick to the using the Microsoft Windows Server and Hyper-V tools and features as much as possible. From that standpoint, SteelEye looks more appealing than Double-Take because they make the DataKeeper volume(s) available to the Failover Clustering Manager and then failover clustering is all configured and managed through the native Microsoft tools. Double-Take says that "clustered Hyper-V hosts are not supported," and Double-Take Availability itself seems to be what is used for the actual clustering and failover. Does anyone know if any of these replication tools work with more than two hosts in the cluster? All the information I can find on the web only uses two hosts in their examples. Are there any better tools than SteelEye and Double-Take for doing what I am trying to do, which is eliminate the storage as as single point of failure? Neverfail, AppAssure, and DataCore all seem to offer similar functionality, but they don't seems to be as popular as SteelEye and Double-Take. I have seen a number of people suggest using Starwind iSCSI SAN software for the shared storage, which includes replication (and CSV replication at that). There are a couple of reasons I have not seriously considered this route: 1) The company I work for is exclusively a Dell shop and Dell does not have any servers with that I can pack with more than six 3.5" SATA drives. 2) In the future, it could be advantegous for us to not be locked into a particular brand or type of storage and third-party replication softwares all allow replication to heterogeneous storage devices. I am pretty new to iSCSI and clustering, so please let me know if it looks like I am planning something that goes against best practices or overlooking/missing something.

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  • what is the difference between ltsp-server and ltsp-server-standalone packages?

    - by Dhani DDn
    what is the difference between ltsp-server and ltsp-server-standalone packages? and what packages i must use for setting up ltsp-cluster root server. according to this link https://help.ubuntu.com/community/UbuntuLTSP/LTSP-Cluster the root server use the ltsp-server and dhcp3-server packages .. but i think ltsp-server-standalone and isc-dhcp-server packages is the newer one .... is that okay if i use ltsp-server-standalone and isc-dhcp-server instead ? sorry newbie question

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  • Clustering for Mere Mortals (Pt 3)

    - by Geoff N. Hiten
    The Controller Now we get to the meat of the matter.  You want a virtual cluster, the first thing you have to do is create your own portable domain.  Start with a plain vanilla install of Windows 2003 R2 Standard on a semi-default VM. (1 GB RAM, 2 cores, 2 NICs, 128GB dynamically expanding VHD file).  I chose this because it had the smallest disk and memory footprint of any current supported Microsoft Server product.  I created the VM with a single dynamically expanding VHD, one fixed 16 GB VHD, and two NICs.  One NIC is connected to the outside world and the other one is part of an internal-only network.  The first NIC is set up as a DHCP client.  We will get to the other one later. I actually tried this with Windows 2008 R2, but it failed miserably.  Not sure whether it was 2008 R2 or the fact I tried to use cloned VMs in the cluster.  Clustering is one place where NewSID would really come in handy.  Too bad Microsoft bought and buried it. Load and Patch the OS (hence the need for the outside connection).This is a good time to go get dinner.  Maybe a movie too.  There are close to a hundred patches that need to be downloaded and applied.  Avoiding that mess was why I put so much time into trying to get the 2008 R2 version working.  Maybe next time.  Don’t forget to add the extensions for VMLite (or whatever virtualization product you prefer). Set a fixed IP address on the internal-only NIC.  Do not give it a gateway.  Put the same IP address for the NIC and for the DNS Server.  This IP should be in a range that is never available on your public network.  You will need all the addresses in the range available.  See the previous post for the exact settings I used. I chose 10.97.230.1 as the server.  The rest of the 10.97.230 range is what I will use later.  For the curious, those numbers are based on elements of my home address.  Not truly random, but good enough for this project. Do not bridge the network connections.  I never allowed the cluster nodes direct access to any public network. Format the fixed VHD and leave it alone for now. Promote the VM to a Domain Controller.  If you have never done this, don’t worry.  The only meaningful decision is what to call the new domain.  I prefer a bogus name that does not correspond to a real Top-Level Domain (TLD).  .com, .biz., .net, .org  are all TLDs that we know and love.  I chose .test as the TLD since it is descriptive AND it does not exist in the real world.  The domain is called MicroAD.  This gives me MicroAD.Test as my domain. During the promotion process, you will be prompted to install DNS as part of the Domain creation process.  You want to accept this option.  The installer will automatically assign this DNS server as the authoritative owner of the MicroAD.test DNS domain (not to be confused with the MicroAD.test Active Directory domain.) For the rest of the DCPROMO process, just accept the defaults. Now let’s make our IP address management easy.  Add the DHCP Role to the server.  Add the server (10.97.230.1 in this case) as the default gateway to assign to DHCP clients.  Here is where you have to be VERY careful and bind it ONLY to the Internal NIC.  Trust me, your network admin will NOT like an extra DHCP server “helping” out on her network.  Go ahead and create a range of 10-20 IP Addresses in your scope.  You might find other uses for a pocket domain controller <cough> Mirroring </cough> than just for building a cluster.  And Clustering in SQL 2008 and Windows 2008 R2 fully supports DHCP addresses. Now we have three of the five key roles ready.  Two more to go. Next comes file sharing.  Since your cluster node VMs will not have access to any outside, you have to have some way to get files into these VMs.  I simply go to the root of C: and create a “Shared” folder.  I then share it out and grant full control to “Everyone” to both the share and to the underlying NTFS folder.   This will be immensely useful for Service Packs, demo databases, and any other software that isn’t packaged as an ISO that we can mount to the VM. Finally we need to create a block-level multi-connect storage device.  The kind folks at Starwinds Software (http://www.starwindsoftware.com/) graciously gave me a non-expiring demo license for expressly this purpose.  Their iSCSI SAN software lets you create an iSCSI target from nearly any storage medium.  Refreshingly, their product does exactly what they say it does.  Thanks. Remember that 16 GB VHD file?  That is where we are going to carve into our LUNs.  I created an iSCSI folder off the root, just so I can keep everything organized.  I then carved 5 ea. 2 GB iSCSI targets from that folder.  I chose a fixed VHD for performance.  I tried this earlier with a dynamically expanding VHD, but too many layers of abstraction and sparseness combined to make it unusable even for a demo.  Stick with a fixed VHD so there is a one-to-one mapping between abstract and physical storage.  If you read the previous post, you know what I named these iSCSI LUNs and why.  Yes, I do have some left over space.  Always leave yourself room for future growth or options. This gets us up to where we can actually build the nodes and install SQL.  As with most clusters, the real work happens long before the individual nodes get installed and configured.  At least it does if you want the cluster to be a true high-availability platform.

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  • Clustering for Mere Mortals (Pt3)

    - by Geoff N. Hiten
    The Controller Now we get to the meat of the matter.  You want a virtual cluster, the first thing you have to do is create your own portable domain.  IStart with a plain vanilla install of Windows 2003 R2 Standard on a semi-default VM. (1 GB RAM, 2 cores, 2 NICs, 128GB dynamically expanding VHD file).  I chose this because it had the smallest disk and memory footprint of any current supported Microsoft Server product.  I created the VM with a single dynamically expanding VHD, one fixed 16 GB VHD, and two NICs.  One NIC is connected to the outside world and the other one is part of an internal-only network.  The first NIC is set up as a DHCP client.  We will get to the other one later. I actually tried this with Windows 2008 R2, but it failed miserably.  Not sure whether it was 2008 R2 or the fact I tried to use cloned VMs in the cluster.  Clustering is one place where NewSID would really come in handy.  Too bad Microsoft bought and buried it. Load and Patch the OS (hence the need for the outside connection).This is a good time to go get dinner.  Maybe a movie too.  There are close to a hundred patches that need to be downloaded and applied.  Avoiding that mess was why I put so much time into trying to get the 2008 R2 version working.  Maybe next time.  Don’t forget to add the extensions for VMLite (or whatever virtualization product you prefer). Set a fixed IP address on the internal-only NIC.  Do not give it a gateway.  Put the same IP address for the NIC and for the DNS Server.  This IP should be in a range that is never available on your public network.  You will need all the addresses in the range available.  See the previous post for the exact settings I used. I chose 10.97.230.1 as the server.  The rest of the 10.97.230 range is what I will use later.  For the curious, those numbers are based on elements of my home address.  Not truly random, but good enough for this project. Do not bridge the network connections.  I never allowed the cluster nodes direct access to any public network. Format the fixed VHD and leave it alone for now. Promote the VM to a Domain Controller.  If you have never done this, don’t worry.  The only meaningful decision is what to call the new domain.  I prefer a bogus name that does not correspond to a real Top-Level Domain (TLD).  .com, .biz., .net, .org  are all TLDs that we know and love.  I chose .test as the TLD since it is descriptive AND it does not exist in the real world.  The domain is called MicroAD.  This gives me MicroAD.Test as my domain. During the promotion process, you will be prompted to install DNS as part of the Domain creation process.  You want to accept this option.  The installer will automatically assign this DNS server as the authoritative owner of the MicroAD.test DNS domain (not to be confused with the MicroAD.test Active Directory domain.) For the rest of the DCPROMO process, just accept the defaults. Now let’s make our IP address management easy.  Add the DHCP Role to the server.  Add the server (10.97.230.1 in this case) as the default gateway to assign to DHCP clients.  Here is where you have to be VERY careful and bind it ONLY to the Internal NIC.  Trust me, your network admin will NOT like an extra DHCP server “helping” out on her network.  Go ahead and create a range of 10-20 IP Addresses in your scope.  You might find other uses for a pocket domain controller <cough> Mirroring </cough> than just for building a cluster.  And Clustering in SQL 2008 and Windows 2008 R2 fully supports DHCP addresses. Now we have three of the five key roles ready.  Two more to go. Next comes file sharing.  Since your cluster node VMs will not have access to any outside, you have to have some way to get files into these VMs.  I simply go to the root of C: and create a “Shared” folder.  I then share it out and grant full control to “Everyone” to both the share and to the underlying NTFS folder.   This will be immensely useful for Service Packs, demo databases, and any other software that isn’t packaged as an ISO that we can mount to the VM. Finally we need to create a block-level multi-connect storage device.  The kind folks at Starwinds Software (http://www.starwindsoftware.com/) graciously gave me a non-expiring demo license for expressly this purpose.  Their iSCSI SAN software lets you create an iSCSI target from nearly any storage medium.  Refreshingly, their product does exactly what they say it does.  Thanks. Remember that 16 GB VHD file?  That is where we are going to carve into our LUNs.  I created an iSCSI folder off the root, just so I can keep everything organized.  I then carved 5 ea. 2 GB iSCSI targets from that folder.  I chose a fixed VHD for performance.  I tried this earlier with a dynamically expanding VHD, but too many layers of abstraction and sparseness combined to make it unusable even for a demo.  Stick with a fixed VHD so there is a one-to-one mapping between abstract and physical storage.  If you read the previous post, you know what I named these iSCSI LUNs and why.  Yes, I do have some left over space.  Always leave yourself room for future growth or options. This gets us up to where we can actually build the nodes and install SQL.  As with most clusters, the real work happens long before the individual nodes get installed and configured.  At least it does if you want the cluster to be a true high-availability platform.

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  • J2EE Applications, SPARC T4, Solaris Containers, and Resource Pools

    - by user12620111
    I've obtained a substantial performance improvement on a SPARC T4-2 Server running a J2EE Application Server Cluster by deploying the cluster members into Oracle Solaris Containers and binding those containers to cores of the SPARC T4 Processor. This is not a surprising result, in fact, it is consistent with other results that are available on the Internet. See the "references", below, for some examples. Nonetheless, here is a summary of my configuration and results. (1.0) Before deploying a J2EE Application Server Cluster into a virtualized environment, many decisions need to be made. I'm not claiming that all of the decisions that I have a made will work well for every environment. In fact, I'm not even claiming that all of the decisions are the best possible for my environment. I'm only claiming that of the small sample of configurations that I've tested, this is the one that is working best for me. Here are some of the decisions that needed to be made: (1.1) Which virtualization option? There are several virtualization options and isolation levels that are available. Options include: Hard partitions:  Dynamic Domains on Sun SPARC Enterprise M-Series Servers Hypervisor based virtualization such as Oracle VM Server for SPARC (LDOMs) on SPARC T-Series Servers OS Virtualization using Oracle Solaris Containers Resource management tools in the Oracle Solaris OS to control the amount of resources an application receives, such as CPU cycles, physical memory, and network bandwidth. Oracle Solaris Containers provide the right level of isolation and flexibility for my environment. To borrow some words from my friends in marketing, "The SPARC T4 processor leverages the unique, no-cost virtualization capabilities of Oracle Solaris Zones"  (1.2) How to associate Oracle Solaris Containers with resources? There are several options available to associate containers with resources, including (a) resource pool association (b) dedicated-cpu resources and (c) capped-cpu resources. I chose to create resource pools and associate them with the containers because I wanted explicit control over the cores and virtual processors.  (1.3) Cluster Topology? Is it best to deploy (a) multiple application servers on one node, (b) one application server on multiple nodes, or (c) multiple application servers on multiple nodes? After a few quick tests, it appears that one application server per Oracle Solaris Container is a good solution. (1.4) Number of cluster members to deploy? I chose to deploy four big 64-bit application servers. I would like go back a test many 32-bit application servers, but that is left for another day. (2.0) Configuration tested. (2.1) I was using a SPARC T4-2 Server which has 2 CPU and 128 virtual processors. To understand the physical layout of the hardware on Solaris 10, I used the OpenSolaris psrinfo perl script available at http://hub.opensolaris.org/bin/download/Community+Group+performance/files/psrinfo.pl: test# ./psrinfo.pl -pv The physical processor has 8 cores and 64 virtual processors (0-63) The core has 8 virtual processors (0-7)   The core has 8 virtual processors (8-15)   The core has 8 virtual processors (16-23)   The core has 8 virtual processors (24-31)   The core has 8 virtual processors (32-39)   The core has 8 virtual processors (40-47)   The core has 8 virtual processors (48-55)   The core has 8 virtual processors (56-63)     SPARC-T4 (chipid 0, clock 2848 MHz) The physical processor has 8 cores and 64 virtual processors (64-127)   The core has 8 virtual processors (64-71)   The core has 8 virtual processors (72-79)   The core has 8 virtual processors (80-87)   The core has 8 virtual processors (88-95)   The core has 8 virtual processors (96-103)   The core has 8 virtual processors (104-111)   The core has 8 virtual processors (112-119)   The core has 8 virtual processors (120-127)     SPARC-T4 (chipid 1, clock 2848 MHz) (2.2) The "before" test: without processor binding. I started with a 4-member cluster deployed into 4 Oracle Solaris Containers. Each container used a unique gigabit Ethernet port for HTTP traffic. The containers shared a 10 gigabit Ethernet port for JDBC traffic. (2.3) The "after" test: with processor binding. I ran one application server in the Global Zone and another application server in each of the three non-global zones (NGZ):  (3.0) Configuration steps. The following steps need to be repeated for all three Oracle Solaris Containers. (3.1) Stop AppServers from the BUI. (3.2) Stop the NGZ. test# ssh test-z2 init 5 (3.3) Enable resource pools: test# svcadm enable pools (3.4) Create the resource pool: test# poolcfg -dc 'create pool pool-test-z2' (3.5) Create the processor set: test# poolcfg -dc 'create pset pset-test-z2' (3.6) Specify the maximum number of CPU's that may be addd to the processor set: test# poolcfg -dc 'modify pset pset-test-z2 (uint pset.max=32)' (3.7) bash syntax to add Virtual CPUs to the processor set: test# (( i = 64 )); while (( i < 96 )); do poolcfg -dc "transfer to pset pset-test-z2 (cpu $i)"; (( i = i + 1 )) ; done (3.8) Associate the resource pool with the processor set: test# poolcfg -dc 'associate pool pool-test-z2 (pset pset-test-z2)' (3.9) Tell the zone to use the resource pool that has been created: test# zonecfg -z test-z1 set pool=pool-test-z2 (3.10) Boot the Oracle Solaris Container test# zoneadm -z test-z2 boot (3.11) Save the configuration to /etc/pooladm.conf test# pooladm -s (4.0) Results. Using the resource pools improves both throughput and response time: (5.0) References: System Administration Guide: Oracle Solaris Containers-Resource Management and Oracle Solaris Zones Capitalizing on large numbers of processors with WebSphere Portal on Solaris WebSphere Application Server and T5440 (Dileep Kumar's Weblog)  http://www.brendangregg.com/zones.html Reuters Market Data System, RMDS 6 Multiple Instances (Consolidated), Performance Test Results in Solaris, Containers/Zones Environment on Sun Blade X6270 by Amjad Khan, 2009.

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  • New Whitepaper: Oracle WebLogic Clustering

    - by ACShorten
    A new whitepaper is available that outlines the concepts and steps on implementing web application server clustering using the Oracle Utilities Application Framework and Oracle WebLogic Server. The whitepaper include the following: A short discussion on the concepts of clustering How to setup a cluster using Oracle WebLogic's utilities How to configure the Oracle Utilities Application Framework to take advantage of clustering How to deploy the Oracle Utilities Application based products in a clustered environment Common cluster operations The whitepaper is available from My Oracle Support at Doc Id: 1334558.1.

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  • Slicing the EDG

    - by Antony Reynolds
    Different SOA Domain Configurations In this blog entry I would like to introduce three different configurations for a SOA environment.  I have omitted load balancers and OTD/OHS as they introduce a whole new round of discussion.  For each possible deployment architecture I have identified some of the advantages. Super Domain This is a single EDG style domain for everything needed for SOA/OSB.   It extends the standard EDG slightly but otherwise assumes a single “super” domain. This is basically the SOA EDG.  I have broken out JMS servers and Coherence servers to improve scalability and reduce dependencies. Key Points Separate JMS allows those servers to be kept up separately from rest of SOA Domain, allowing JMS clients to post messages even if rest of domain is unavailable. JMS servers are only used to host application specific JMS destinations, SOA/OSB JMS destinations remain in relevant SOA/OSB managed servers. Separate Coherence servers allow OSB cache to be offloaded from OSB servers. Use of Coherence by other components as a shared infrastructure data grid service. Coherence cluster may be managed by WLS but more likely run as a standalone Coherence cluster. Benefits Single Administration Point (1 Admin Server) Closely follows EDG with addition of application specific JMS servers and standalone Coherence servers for OSB caching and application specific caches. Coherence grid can be scaled independent of OSB/SOA. JMS queues provide for inter-application communication. Drawbacks Patching is an all or nothing affair. Startup time for SOA may be slow if large number of composites deployed. Multiple Domains This extends the EDG into multiple domains, allowing separate management and update of these domains.  I see this type of configuration quite often with customers, although some don't have OWSM, others don't have separate Coherence etc. SOA & BAM are kept in the same domain as little benefit is obtained by separating them. Key Points Separate JMS allows those servers to be kept up separately from rest of SOA Domain, allowing JMS clients to post messages even if other domains are unavailable. JMS servers are only used to host application specific JMS destinations, SOA/OSB JMS destinations remain in relevant SOA/OSB managed servers. Separate Coherence servers allow OSB cache to be offloaded from OSB servers. Use of Coherence by other components as a shared infrastructure data grid service. Coherence cluster may be managed by WLS but more likely run as a standalone Coherence cluster. Benefits Follows EDG but in separate domains and with addition of application specific JMS servers and standalone Coherence servers for OSB caching and application specific caches. Coherence grid can be scaled independent of OSB/SOA. JMS queues provide for inter-application communication. Patch lifecycle of OSB/SOA/JMS are no longer lock stepped. JMS may be kept running independently of other domains allowing applications to insert messages fro later consumption by SOA/OSB. OSB may be kept running independent of other domains, allowing service virtualization to continue independent of other domains availability. All domains use same OWSM policy store (MDS-WSM). Drawbacks Multiple domains to manage and configure. Multiple Admin servers (single view requires use of Grid Control) Multiple Admin servers/WSM clusters waste resources. Additional homes needed to enjoy benefits of separate patching. Cross domain trust needs setting up to simplify cross domain interactions. Startup time for SOA may be slow if large number of composites deployed. Shared Service Environment This model extends the previous multiple domain arrangement to provide a true shared service environment.This extends the previous model by allowing multiple additional SOA domains and/or other domains to take advantage of the shared services.  Only one non-shared domain is shown, but there could be multiple, allowing groups of applications to share patching independent of other application groups. Key Points Separate JMS allows those servers to be kept up separately from rest of SOA Domain, allowing JMS clients to post messages even if other domains are unavailable. JMS servers are only used to host application specific JMS destinations, SOA/OSB JMS destinations remain in relevant SOA/OSB managed servers. Separate Coherence servers allow OSB cache to be offloaded from OSB servers. Use of Coherence by other components as a shared infrastructure data grid service Coherence cluster may be managed by WLS but more likely run as a standalone Coherence cluster. Shared SOA Domain hosts Human Workflow Tasks BAM Common "utility" composites Single OSB domain provides "Enterprise Service Bus" All domains use same OWSM policy store (MDS-WSM) Benefits Follows EDG but in separate domains and with addition of application specific JMS servers and standalone Coherence servers for OSB caching and application specific caches. Coherence grid can be scaled independent of OSB/SOA. JMS queues provide for inter-application communication. Patch lifecycle of OSB/SOA/JMS are no longer lock stepped. JMS may be kept running independently of other domains allowing applications to insert messages fro later consumption by SOA/OSB. OSB may be kept running independent of other domains, allowing service virtualization to continue independent of other domains availability. All domains use same OWSM policy store (MDS-WSM). Supports large numbers of deployed composites in multiple domains. Single URL for Human Workflow end users. Single URL for BAM end users. Drawbacks Multiple domains to manage and configure. Multiple Admin servers (single view requires use of Grid Control) Multiple Admin servers/WSM clusters waste resources. Additional homes needed to enjoy benefits of separate patching. Cross domain trust needs setting up to simplify cross domain interactions. Human Workflow needs to be specially configured to point to shared services domain. Summary The alternatives in this blog allow for patching to have different impacts, depending on the model chosen.  Each organization must decide the tradeoffs for itself.  One extreme is to go for the shared services model and have one domain per SOA application.  This requires a lot of administration of the multiple domains.  The other extreme is to have a single super domain.  This makes the entire enterprise susceptible to an outage at the same time due to patching or other domain level changes.  Hopefully this blog will help your organization choose the right model for you.

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  • Solaris Web Magazine JP ?????

    - by kazun
    #midashi{ font-size:120%; border-left: 8px solid #FF0000;/*??????????????????*/ border-bottom:dotted 1px #cccccc;/*?????????????*/ width:515px;/*??????*/ line-height: 26px;/*h3?????*/ padding-left: 5px;/*?????????*/ color:#333333; /*????*/ font-weight:bold; } .select{ padding-top:2px; padding-left: 3px;/*?????????*/ font-size:10px; color:#999999; display: block; } #midashi2{ font-size:120%; border-left: 8px solid #FF0000;/*??????????????????*/ border-bottom:dotted 1px #cccccc;/*?????????????*/ width:205px;/*??????*/ line-height: 26px;/*h3?????*/ padding-left: 5px;/*?????????*/ color:#333333; /*????*/ font-weight:bold; } .select{ padding-top:2px; padding-left: 3px;/*?????????*/ font-size:10px; color:#999999; display: block; } ???? ????????:Oracle OpenWorld Tokyo 2012 ?????? ????:?????????????????:???????Oracle Solaris Studio 12.3? ???? Oracle Solaris ???????????????????? Oracle OpenWorld Tokyo 2012 ?????? Oracle Solaris 11 ?????????:?Oracle Solaris 11 ?????·????·??? ?2???? ?????????????????:???????Oracle Solaris Studio 12.3? ????? ???? ??????????????????????? Oracle Solaris Oracle Solaris Studio Oracle Solaris Cluster ????? ???? Oracle Technology Network ??????????????????????????????? Oracle Solaris 11 Oracle Solaris 10 Oracle Solaris Cluster Enterprise Edition Oracle Solaris Studio OTN? ????/????  ?????????#4?6/15(?)??? 2012/5/21 Oracle Solaris ??????? #3 2012/5/23 ?83? ????! ???????? ~Oracle x Sun ?6?: Solaris 10 ?? Solaris 11 ?????????????(Slideshare) ?????? Solaris 11 Solaris 10 Oracle Solaris Cluster Oracle Solaris Studio Oracle Linux OTN? ??????????? ?????????? Oracle Solaris ????????????????????????????????????????????????? ???????????????????????????????????????????????? OTN ???? ?????? ????? ?????? ???? Oracle Software Delivery Cloud My Oracle Support ????????? Oracle PartnerNetwork Oracle Solaris Knowledge Zone ????????? Solaris ?????? Oracle|Sun ????????? Oracle Japan (??????) Oracle University ????? Oracle Solaris 11 ?????? Oracle Solaris 11 ??????????? Sun Cluster for Hign Availability ???????? ???????? ?????????? Server / Storage System ????

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  • ???????/???MySQL?????? ??????

    - by Yusuke.Yamamoto
    ????? ??:2011/07/25 ??:??????/?? MySQL ??????????????????????????????Associate?Administrator?Developer?Cluster ?????????????????????????????????????????????????? MySQL 5 Certified Associate ?? / ????????????????MySQL 5 Developer Certified Professional ?? / ????????????????MySQL 5 Database Administrator Certified Professional ?? / ????????????????MySQL 5.1 Cluster Database Administrator Certified Expert ?? / ???????????????? ????????? ????????????????? http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/20110725MySQL_Cert.wmv http://www.oracle.com/technetwork/jp/ondemand/db-new/20110725-ou-cert-455765-ja.pdf

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  • ?!Solaris ??20??? ????Solaris 11.1????????!

    - by OTN-J Master
    Solaris 11.1 ??????????? US OTN???????????????????????????????Solaris 11.1??????????? (OTN Japan???????????????????????????????) ???????Oracle Solaris ?????????????????????????????????????????????????????????????????????????????Solaris 11??????????????300???????????????10?4??Oracle OpenWorld?????Solaris 11.1?????????(??????????)?????????????Solaris?????20????????20??????????????????? ???????????????????????OS??????????????????????????Solaris 11.1????? ?????????????2012?11?7???8:00????Oracle Solaris 11.1?????Oracle Solaris Cluster???????·????·???????????????????????Solaris??20??????????????Solaris??????????????Oracle Solaris 11.1??Oracle Solarus Cluster???????????????????????11?8???1?????????????????????????????????Solaris?????????????????·???????????????????

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  • Why is Windows Task Scheduler trying to launch multiple instances?

    - by Paul H
    We have a number of Windows Scheduled tasks that run on one Server 2008 Webserver (not R2) which is in a cluster. We recently moved from an original webserver Cluster to a new webserver Cluser (Server 2008 - not R2). The new webserver (in the cluster) running the Windows Tasks is setup the same as on the original we believe. BUT we now find that on the new Windows Server the Windows Task Scheduler seems to want to instantly start each task three times. If we set the option to queue up a new task we get: Event ID 324 Task Scheduler queued instance "{9a1a8411-b042-45ff-8e6b-89874df230d7}" of task "\Client Reporting" and will launch it as soon as instance "{2bcc3df6-ea3b-4453-90c2-75b8b1946388}" completes. If we set the option to stop an existing task we get: Event ID 323 Task Scheduler stopped instance "{e685a910-b32b-414e-85fd-96bbe54314a2}" of task "\Client Reporting" in order to launch new instance "{4db66265-1f51-4ede-8535-ac7c3cb5c4c1}" . Ticked settings: Allow task to be run on demand. Run task as soon as possible after a scheduled start is missed. Stop the task if running for longer than 1 hour. If the running task does not end when requested force it to stop. Start the task only if the computer is on AC power. Stop the task if the computer switches to battery power. Selected option: If the task is already running - stop the existing instance. Note: We moved the tasks from one server to another in the cluster to see if it the Task Scheduler on the particular server we'd picked causing the problem. Same behaviour. Could it be something to do with the build of the new servers? We have very similar tasks set up on another server cluster that work OK without all this multiple starting. Comparing those tasks to the ones here - there does not seem to be anything obviously different in terms of settings available to us through the options within the Task Scheduler. Trigger: The task is scheduled to be triggered daily, once an hour - and to be stopped if it exceeds this time. Action: Runs a .bat file. What could be causing this/where we can look to see what logic is causing the tasks to start multiple times in this way?

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  • Opscenter repair service times out. ERROR: Requested range intersects a local range [...]

    - by jlemire-zs
    My production cluster had the repair service enabled since april 16th with the default 9 days time to completion and repairs would complete properly. However, since may 22nd, it is being disabled automatically by Opscenter: From /var/log/opscenter/opscenterd.log: [...] 2014-06-03 21:13:47-0400 [zs_prod] ERROR: Repair task (<Node 10.1.0.22='6417880425364517165'>, (-4019838962446882275L, -4006140687792135587L), set(['zs_logging', 'OpsCenter'])) timed out after 3600 seconds. 2014-06-03 22:16:44-0400 [zs_prod] ERROR: Repair task (<Node 10.1.0.22='6417880425364517165'>, (-4006140687792135587L, -4006140687792135586L), set(['zs_logging', 'OpsCenter'])) timed out after 3600 seconds. 2014-06-03 22:16:44-0400 [zs_prod] ERROR: More than 100 errors during repair service, shutting down repair service 2014-06-03 22:16:44-0400 [zs_prod] INFO: Stopping repair service [...] From /var/log/opscenter/repair_service/zs_prod.log: [...] 2014-06-03 22:16:44-0400 [zs_prod] ERROR: Repair task (<Node 10.1.0.22='6417880425364517165'>, (-4006140687792135587L, -4006140687792135586L), set(['zs_logging', 'OpsCenter'])) timed out after 3600 seconds. 2014-06-03 22:16:44-0400 [zs_prod] ERROR: Task (<Node 10.1.0.22='6417880425364517165'>, (-4006140687792135587L, -4006140687792135586L), set(['zs_logging', 'OpsCenter'])) has failed 1 times. 2014-06-03 22:16:44-0400 [zs_prod] ERROR: 101 errors have ocurred out of 100 allowed. 2014-06-03 22:16:44-0400 [zs_prod] ERROR: More than 100 errors during repair service, shutting down repair service 2014-06-03 22:16:44-0400 [zs_prod] INFO: Stopping repair service On the nodes on which the repair fails, from /var/log/cassandra/system.log: ERROR [RMI TCP Connection(93502)-10.1.0.22] 2014-06-03 20:12:28,858 StorageService.java (line 2560) Repair session failed: java.lang.IllegalArgumentException: Requested range intersects a local range but is not fully contained in one; this would lead to i mprecise repair at org.apache.cassandra.service.ActiveRepairService.getNeighbors(ActiveRepairService.java:164) at org.apache.cassandra.repair.RepairSession.<init>(RepairSession.java:128) at org.apache.cassandra.repair.RepairSession.<init>(RepairSession.java:117) at org.apache.cassandra.service.ActiveRepairService.submitRepairSession(ActiveRepairService.java:97) at org.apache.cassandra.service.StorageService.forceKeyspaceRepair(StorageService.java:2620) at org.apache.cassandra.service.StorageService$5.runMayThrow(StorageService.java:2556) at org.apache.cassandra.utils.WrappedRunnable.run(WrappedRunnable.java:28) These errors, which only occurs if the repair service is running, are the only errors these nodes experience. Outside of the repair task, the Cassandra cluster works perfectly. I am running Opscenter 4.1.2 with a 6 nodes DSE 4.0.2 cluster installed on linux virtual machines. The nodes run a vanilla installation of Ubuntu Server 12.04 64-bit and DSE was installed and secured according to the provided installation documentation. I have been experiencing that problem on my development cluster for a while too (with DSE 4.0.0, 4.0.1 and 4.0.2), but I thought this was because of some configuration error on my part. The problem has appeared spontaneously at some point too. The Cassandra cluster has been working very smoothly with a good write throughput. It is very stable and has enough resources to work with. We did not notice any problems with the applications that depend on it.

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  • JBossMQ - Clustered Queues/NameNotFoundException: QueueConnectionFactory error

    - by mfarver
    I am trying to get an application working on a JBoss Cluster. It uses Queues internally, and the developer claims that it should work correctly in a clustered environment. I have jbossmq setup as a ha-singleton on the cluster. The application works correctly on whichever node currently is running the queue, but fails on the other nodes with a: "javax.naming.NameNotFoundException: QueueConnectionFactory not bound" error. I can look at JNDIview from the jmx-console and see that indeed the QueueConnectionFactory class only appears on the primary node in the Global context. Is there a way to see the Cluster's JNDI listing instead of each server? The steps I took from a default Jboss 4.2.3.GA installation were to use the "all" configuration. Then removed /server/all/deploy/hsqldb-ds.xml and /deploy-hasingleton/jms/hsqldb-jdbc2-service.xml, copying the example/jms/mysq-jdbc2-service.xml file into its place (editing that file to use DefaultDS instead of MySqlDS). Finally I created a mysql-ds.xml file in the deploy directory pointing "DefaultDS" at an empty database. I created a -services.xml file in the deploy directory with the queue definition. like the one below: <server> <mbean code="org.jboss.mq.server.jmx.Queue" name="jboss.mq.destination:service=Queue,name=myfirstqueue"> <depends optional-attribute-name="DestinationManager"> jboss.mq:service=DestinationManager </depends> </mbean> </server> All of the other cluster features of working, the servers list each other in the view, and sessions are replicating back and forth. The JBoss documentation is somewhat light in this area, is there another setting I might have missed? Or is this likely to be a code issue (is there different code to do a JNDI lookup in a clusted environment?) Thanks

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  • cisco 2900xl - SNMP - Get mac address of device connected to an interface

    - by ankit
    Hello all, Basically what i want to do is to find out what is the mac address of a device plugged in to an interface on the switch (FastEthernet0/1 for example) reading through the switch documentaion i found out that i can configure snmp trap on it to make it notify of any new mac address the switch detects by using the command snmp-server enable traps mac-notifiction but for some reason my switch does not support this feature. the only options i see are CORE_SWITCH(config)#snmp-server enable traps ? c2900 Enable SNMP c2900 traps cluster Enable Cluster traps config Enable SNMP config traps entity Enable SNMP entity traps hsrp Enable SNMP HSRP traps snmp Enable SNMP traps vlan-membership Enable VLAN Membership traps vtp Enable SNMP VTP traps <cr> so the other way would be for me to run a cronjon on my gateway to poll the switch periodically using snmp to get new mac addresses i have looked everywhere but cant seem to find the OID that would provide me this information. any help i can get would me very much appreciated ! here's the output from "show version" on my switch Cisco Internetwork Operating System Software IOS (tm) C2900XL Software (C2900XL-C3H2S-M), Version 12.0(5.4)WC(1), MAINTENANCE INTERIM SOFTWARE Copyright (c) 1986-2001 by cisco Systems, Inc. Compiled Tue 10-Jul-01 11:52 by devgoyal Image text-base: 0x00003000, data-base: 0x00333CD8 ROM: Bootstrap program is C2900XL boot loader CORE_SWITCH uptime is 1 hour, 24 minutes System returned to ROM by power-on System image file is "flash:c2900XL-c3h2s-mz.120-5.4.WC.1.bin" cisco WS-C2912-XL (PowerPC403GA) processor (revision 0x11) with 8192K/1024K bytes of memory. Processor board ID FAB0409X1WS, with hardware revision 0x01 Last reset from power-on Processor is running Enterprise Edition Software Cluster command switch capable Cluster member switch capable 12 FastEthernet/IEEE 802.3 interface(s) 32K bytes of flash-simulated non-volatile configuration memory. Base ethernet MAC Address: 00:01:42:D0:67:00 Motherboard assembly number: 73-3397-08 Power supply part number: 34-0834-01 Motherboard serial number: FAB040843G4 Power supply serial number: DAB05030HR8 Model revision number: A0 Motherboard revision number: C0 Model number: WS-C2912-XL-EN System serial number: FAB0409X1WS Configuration register is 0xF thanks, -ankit

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  • All websites migrated from server running IIS6 to IIS7

    - by Leah
    Hi, I hope someone will be able to help me with this. We have recently migrated all of our clients' sites to a new server running IIS7 - all the sites were originally running on a server running IIS6. Ever since the migration, lots of our clients are reporting error messages. There seems to be quite a number of issues related to sending emails and also, we have had the following error message reported by several different clients: Server Error in '/' Application. -------------------------------------------------------------------------------- Validation of viewstate MAC failed. If this application is hosted by a Web Farm or cluster, ensure that <machineKey> configuration specifies the same validationKey and validation algorithm. AutoGenerate cannot be used in a cluster. Description: An unhandled exception occurred during the execution of the current web request. Please review the stack trace for more information about the error and where it originated in the code. Exception Details: System.Web.HttpException: Validation of viewstate MAC failed. If this application is hosted by a Web Farm or cluster, ensure that <machineKey> configuration specifies the same validationKey and validation algorithm. AutoGenerate cannot be used in a cluster. I have read elsewhere that this error can appear if a button is clicked before the whole page has finished loading. But as this error has now appeared on multiple sites and only since the server migration, it seems to me that it must be something else. I was wondering if someone could tell me if there is something specific which needs to be changed for .NET sites when sites are moved from a server running IIS6 to a server running IIS7? I don't deal with the actual servers very much so I'm afraid this is very much a grey area for me. Any help would be very much appreciated.

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  • JBossMQ - Clustered Queues/NameNotFoundException: QueueConnectionFactory error

    - by mfarver
    I am trying to get an application working on a JBoss Cluster. It uses Queues internally, and the developer claims that it should work correctly in a clustered environment. I have jbossmq setup as a ha-singleton on the cluster. The application works correctly on whichever node currently is running the queue, but fails on the other nodes with a: "javax.naming.NameNotFoundException: QueueConnectionFactory not bound" error. I can look at JNDIview from the jmx-console and see that indeed the QueueConnectionFactory class only appears on the primary node in the Global context. Is there a way to see the Cluster's JNDI listing instead of each server? The steps I took from a default Jboss 4.2.3.GA installation were to use the "all" configuration. Then removed /server/all/deploy/hsqldb-ds.xml and /deploy-hasingleton/jms/hsqldb-jdbc2-service.xml, copying the example/jms/mysq-jdbc2-service.xml file into its place (editing that file to use DefaultDS instead of MySqlDS). Finally I created a mysql-ds.xml file in the deploy directory pointing "DefaultDS" at an empty database. I created a -services.xml file in the deploy directory with the queue definition. like the one below: <server> <mbean code="org.jboss.mq.server.jmx.Queue" name="jboss.mq.destination:service=Queue,name=myfirstqueue"> <depends optional-attribute-name="DestinationManager"> jboss.mq:service=DestinationManager </depends> </mbean> </server> All of the other cluster features of working, the servers list each other in the view, and sessions are replicating back and forth. The JBoss documentation is somewhat light in this area, is there another setting I might have missed? Or is this likely to be a code issue (is there different code to do a JNDI lookup in a clusted environment?) Thanks

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  • Big Data – Buzz Words: What is Hadoop – Day 6 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is NoSQL. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – Hadoop. What is Hadoop? Apache Hadoop is an open-source, free and Java based software framework offers a powerful distributed platform to store and manage Big Data. It is licensed under an Apache V2 license. It runs applications on large clusters of commodity hardware and it processes thousands of terabytes of data on thousands of the nodes. Hadoop is inspired from Google’s MapReduce and Google File System (GFS) papers. The major advantage of Hadoop framework is that it provides reliability and high availability. What are the core components of Hadoop? There are two major components of the Hadoop framework and both fo them does two of the important task for it. Hadoop MapReduce is the method to split a larger data problem into smaller chunk and distribute it to many different commodity servers. Each server have their own set of resources and they have processed them locally. Once the commodity server has processed the data they send it back collectively to main server. This is effectively a process where we process large data effectively and efficiently. (We will understand this in tomorrow’s blog post). Hadoop Distributed File System (HDFS) is a virtual file system. There is a big difference between any other file system and Hadoop. When we move a file on HDFS, it is automatically split into many small pieces. These small chunks of the file are replicated and stored on other servers (usually 3) for the fault tolerance or high availability. (We will understand this in the day after tomorrow’s blog post). Besides above two core components Hadoop project also contains following modules as well. Hadoop Common: Common utilities for the other Hadoop modules Hadoop Yarn: A framework for job scheduling and cluster resource management There are a few other projects (like Pig, Hive) related to above Hadoop as well which we will gradually explore in later blog posts. A Multi-node Hadoop Cluster Architecture Now let us quickly see the architecture of the a multi-node Hadoop cluster. A small Hadoop cluster includes a single master node and multiple worker or slave node. As discussed earlier, the entire cluster contains two layers. One of the layer of MapReduce Layer and another is of HDFC Layer. Each of these layer have its own relevant component. The master node consists of a JobTracker, TaskTracker, NameNode and DataNode. A slave or worker node consists of a DataNode and TaskTracker. It is also possible that slave node or worker node is only data or compute node. The matter of the fact that is the key feature of the Hadoop. In this introductory blog post we will stop here while describing the architecture of Hadoop. In a future blog post of this 31 day series we will explore various components of Hadoop Architecture in Detail. Why Use Hadoop? There are many advantages of using Hadoop. Let me quickly list them over here: Robust and Scalable – We can add new nodes as needed as well modify them. Affordable and Cost Effective – We do not need any special hardware for running Hadoop. We can just use commodity server. Adaptive and Flexible – Hadoop is built keeping in mind that it will handle structured and unstructured data. Highly Available and Fault Tolerant – When a node fails, the Hadoop framework automatically fails over to another node. Why Hadoop is named as Hadoop? In year 2005 Hadoop was created by Doug Cutting and Mike Cafarella while working at Yahoo. Doug Cutting named Hadoop after his son’s toy elephant. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – MapReduce. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • WebLogic job scheduling

    - by XpiritO
    Hello, overflowers :) I'm trying to implement a WebLogic job scheduling example, to test my cluster capabilities of fail-over on scheduled tasks (to ensure that these tasks are executed on fail over scenario). With this in mind, I've been following this example and trying to configure everything accordingly. Here are the steps I've done so far: Configured a cluster with 1 admin server (AdminServer) and 2 managed instances (Noddy and Snoopy); Set up database tables (using Oracle XE): ACTIVE and WEBLOGIC_TIMERS; Set up data source to access DB and associated it to the scheduling tasks under "Settings for cluster" "Scheduling"; Implemented a job (TimerListener) and a servlet to initialize the job scheduling, as follows: . package timedexecution; import java.io.IOException; import java.io.PrintWriter; import java.io.Serializable; import java.text.SimpleDateFormat; import java.util.Date; import javax.naming.InitialContext; import javax.naming.NamingException; import javax.servlet.ServletException; import javax.servlet.http.HttpServlet; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import commonj.timers.Timer; import commonj.timers.TimerListener; import commonj.timers.TimerManager; public class TimerServlet extends HttpServlet { private static final long serialVersionUID = 1L; protected static void logMessage(String message, PrintWriter out){ out.write("<p>"+ message +"</p>"); System.out.println(message); } @Override public void service(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { PrintWriter out = response.getWriter(); // out.println("<html>"); out.println("<head><title>TimerServlet</title></head>"); // try { // logMessage("service() entering try block to intialize the timer from JNDI", out); // InitialContext ic = new InitialContext(); TimerManager jobScheduler = (TimerManager)ic.lookup("weblogic.JobScheduler"); // logMessage("jobScheduler reference " + jobScheduler, out); // jobScheduler.schedule(new ExampleTimerListener(), 0, 30*1000); // logMessage("Timer scheduled!", out); // //execute this job every 30 seconds logMessage("service() started the timer", out); // logMessage("Started the timer - status:", out); // } catch (NamingException ne) { String msg = ne.getMessage(); logMessage("Timer schedule failed!", out); logMessage(msg, out); } catch (Throwable t) { logMessage("service() error initializing timer manager with JNDI name weblogic.JobScheduler " + t,out); } // out.println("</body></html>"); out.close(); } private static class ExampleTimerListener implements Serializable, TimerListener { private static final long serialVersionUID = 8313912206357147939L; public void timerExpired(Timer timer) { SimpleDateFormat sdf = new SimpleDateFormat(); System.out.println( "timerExpired() called at " + sdf.format( new Date() ) ); } } } Then I executed the servlet to start the scheduling on the first managed instance (Noddy server), which returned as expected: (Servlet execution output) service() entering try block to intialize the timer from JNDI jobScheduler reference weblogic.scheduler.TimerServiceImpl@43b4c7 Timer scheduled! service() started the timer Started the timer - status: Which resulted in the creation of 2 rows in my DB tables: WEBLOGIC_TIMERS table state after servlet execution: "EDIT"; "TIMER_ID"; "LISTENER"; "START_TIME"; "INTERVAL"; "TIMER_MANAGER_NAME"; "DOMAIN_NAME"; "CLUSTER_NAME"; ""; "Noddy_1268653040156"; "[datatype]"; "1268653040156"; "30000"; "weblogic.JobScheduler"; "myCluster"; "Cluster" ACTIVE table state after servlet execution: "EDIT"; "SERVER"; "INSTANCE"; "DOMAINNAME"; "CLUSTERNAME"; "TIMEOUT"; ""; "service.SINGLETON_MASTER"; "6382071947583985002/Noddy"; "QRENcluster"; "Cluster"; "10.03.15" Although, the job is not executed as scheduled. It should print a message on the server's log output (Noddy.out file) with a timestamp, saying that the timer had expired. It doesn't. My log files state as follows: Admin server log (myCluster.log file): ####<15/Mar/2010 10H45m GMT> <Warning> <Cluster> <test-ad> <Noddy> <[STANDBY] ExecuteThread: '1' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1268649925727> <BEA-000192> <No currently living server was found that could host TimerMaster. The server will retry in a few seconds.> Noddy server log (Noddy.out file): service() entering try block to intialize the timer from JNDI jobScheduler reference weblogic.scheduler.TimerServiceImpl@43b4c7 Timer scheduled! service() started the timer Started the timer - status: <15/Mar/2010 10H45m GMT> <Warning> <Cluster> <BEA-000192> <No currently living server was found that could host TimerMaster. The server will retry in a few seconds.> (Noddy.log file): ####<15/Mar/2010 11H24m GMT> <Info> <Common> <test-ad> <Noddy> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1268652270128> <BEA-000628> <Created "1" resources for pool "TxDataSourceOracle", out of which "1" are available and "0" are unavailable.> ####<15/Mar/2010 11H37m GMT> <Info> <Cluster> <test-ad> <Noddy> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<anonymous>> <> <> <1268653040226> <BEA-000182> <Job Scheduler created a job with ID Noddy_1268653040156 for TimerListener with description timedexecution.TimerServlet$ExampleTimerListener@2ce79a> ####<15/Mar/2010 11H39m GMT> <Info> <JDBC> <test-ad> <Noddy> <[ACTIVE] ExecuteThread: '3' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1268653166307> <BEA-001128> <Connection for pool "TxDataSourceOracle" closed.> Can anyone help me out discovering what's wrong with my configuration? Thanks in advance for your help!

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  • Node.js vs PHP processing speed

    - by Cody Craven
    I've been looking into node.js recently and wanted to see a true comparison of processing speed for PHP vs Node.js. In most of the comparisons I had seen, Node trounced Apache/PHP set ups handily. However all of the tests were small 'hello worlds' that would not accurately reflect any webpage's markup. So I decided to create a basic HTML page with 10,000 hello world paragraph elements. In these tests Node with Cluster was beaten to a pulp by PHP on Nginx utilizing PHP-FPM. So I'm curious if I am misusing Node somehow or if Node is really just this bad at processing power. Note that my results were equivalent outputting "Hello world\n" with text/plain as the HTML, but I only included the HTML as it's closer to the use case I was investigating. My testing box: Core i7-2600 Intel CPU (has 8 threads with 4 cores) 8GB DDR3 RAM Fedora 16 64bit Node.js v0.6.13 Nginx v1.0.13 PHP v5.3.10 (with PHP-FPM) My test scripts: Node.js script var cluster = require('cluster'); var http = require('http'); var numCPUs = require('os').cpus().length; if (cluster.isMaster) { // Fork workers. for (var i = 0; i < numCPUs; i++) { cluster.fork(); } cluster.on('death', function (worker) { console.log('worker ' + worker.pid + ' died'); }); } else { // Worker processes have an HTTP server. http.Server(function (req, res) { res.writeHead(200, {'Content-Type': 'text/html'}); res.write('<html>\n<head>\n<title>Speed test</title>\n</head>\n<body>\n'); for (var i = 0; i < 10000; i++) { res.write('<p>Hello world</p>\n'); } res.end('</body>\n</html>'); }).listen(80); } This script is adapted from Node.js' documentation at http://nodejs.org/docs/latest/api/cluster.html PHP script <?php echo "<html>\n<head>\n<title>Speed test</title>\n</head>\n<body>\n"; for ($i = 0; $i < 10000; $i++) { echo "<p>Hello world</p>\n"; } echo "</body>\n</html>"; My results Node.js $ ab -n 500 -c 20 http://speedtest.dev/ This is ApacheBench, Version 2.3 <$Revision: 655654 $> Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/ Licensed to The Apache Software Foundation, http://www.apache.org/ Benchmarking speedtest.dev (be patient) Completed 100 requests Completed 200 requests Completed 300 requests Completed 400 requests Completed 500 requests Finished 500 requests Server Software: Server Hostname: speedtest.dev Server Port: 80 Document Path: / Document Length: 190070 bytes Concurrency Level: 20 Time taken for tests: 14.603 seconds Complete requests: 500 Failed requests: 0 Write errors: 0 Total transferred: 95066500 bytes HTML transferred: 95035000 bytes Requests per second: 34.24 [#/sec] (mean) Time per request: 584.123 [ms] (mean) Time per request: 29.206 [ms] (mean, across all concurrent requests) Transfer rate: 6357.45 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 0.2 0 2 Processing: 94 547 405.4 424 2516 Waiting: 0 331 399.3 216 2284 Total: 95 547 405.4 424 2516 Percentage of the requests served within a certain time (ms) 50% 424 66% 607 75% 733 80% 813 90% 1084 95% 1325 98% 1843 99% 2062 100% 2516 (longest request) PHP/Nginx $ ab -n 500 -c 20 http://speedtest.dev/test.php This is ApacheBench, Version 2.3 <$Revision: 655654 $> Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/ Licensed to The Apache Software Foundation, http://www.apache.org/ Benchmarking speedtest.dev (be patient) Completed 100 requests Completed 200 requests Completed 300 requests Completed 400 requests Completed 500 requests Finished 500 requests Server Software: nginx/1.0.13 Server Hostname: speedtest.dev Server Port: 80 Document Path: /test.php Document Length: 190070 bytes Concurrency Level: 20 Time taken for tests: 0.130 seconds Complete requests: 500 Failed requests: 0 Write errors: 0 Total transferred: 95109000 bytes HTML transferred: 95035000 bytes Requests per second: 3849.11 [#/sec] (mean) Time per request: 5.196 [ms] (mean) Time per request: 0.260 [ms] (mean, across all concurrent requests) Transfer rate: 715010.65 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 0.2 0 1 Processing: 3 5 0.7 5 7 Waiting: 1 4 0.7 4 7 Total: 3 5 0.7 5 7 Percentage of the requests served within a certain time (ms) 50% 5 66% 5 75% 5 80% 6 90% 6 95% 6 98% 6 99% 6 100% 7 (longest request) Additional details Again what I'm looking for is to find out if I'm doing something wrong with Node.js or if it is really just that slow compared to PHP on Nginx with FPM. I certainly think Node has a real niche that it could fit well, however with these test results (which I really hope I made a mistake with - as I like the idea of Node) lead me to believe that it is a horrible choice for even a modest processing load when compared to PHP (let alone JVM or various other fast solutions). As a final note, I also tried running an Apache Bench test against node with $ ab -n 20 -c 20 http://speedtest.dev/ and consistently received a total test time of greater than 0.900 seconds.

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  • INS-40719 error when Install Oracle RAC?

    - by Data-Base
    I'm tying to (learn how to) install Oracle RAC 11g on CentOS 6 all went OK so far but I get INS-40719 Error message regarding SCAN Name I do not have DNS server and I'm not going to try to use it on this setup I add this line to /etc/hosts 192.168.244.100 rac-cluster then used "rac-cluster" as the SCAN name and it's still not working with the same error message! any one can guide me on how to make it work? 1- do I have to add "192.168.244.100 rac-cluster" to /etc/hosts on both nodes? 2- do I need to edit/add any thing else on the nodes? cheers

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