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  • Apache mod_wsgi elegant clustering method

    - by Dr I
    I'm currently trying to build a scalable infrastructure for my Python webservers. Actually, I'm trying to find the most elegant way to build a scalable cluster to host all my Python WebServices. For now, I'm using three servers like this: 1 x PuppetMaster to deploy my servers. 2 x Apache Reverse Proxy Front-end servers. 1 x Apache HTTPd Server which host the Python WSGI Applications and binded to using mod_wsgi. 4 x MongoDB Clustered server. Everything is OK concerning the Reverse proxy and the DB Backend, I'm able to easily add a new Reverse Proxy and a new DB Node, but my problem is about the Python WebServer. I thinked to just provision a new node with exactly the same configuration and a rsync replication between the two nodes, but It's not really usefull in term of deployement for my developpers etc. So if you have a solution which is as efficient and elegant that the Tomcat Cluster I'll be really happy to ear it ;-)

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  • Snort monitoring of spanning interface

    - by aHunter
    I have configured a Cisco 3500 switch with a port SPAN and have my snort node (fedora 13) plugged into it. I am running snort as a daemon and have configured a rule to log all tcp traffic but I am only seeing traffic with a destination of the snort node. I know that the SPAN port is working and wanted to know if there is a specific option that I needed to start snort with in order for it to pickup all the traffic? Or is there something that I have missed here? Many thanks.

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  • puppet onlyif specified nodes

    - by Valintinr
    I'm trying to write a puppet template. I have a puppet-master and a few puppet-agents and they all must be divided. I think it's good to do this by the node's hostname. But when I tried to do this I've encountered an error "puppet-agent[169037]: (/Stage[main]//Exec[adduser]) Could not evaluate: Could not find command 'ru1'" see code below exec { 'adduser': command => 'sudo adduser -m -p pawSfQewWrUAA test -G wheel', path => [ '/bin','/usr/bin' ], onlyif => "$hostname == ru1" } I need to specify this task for only one node with the hostname ru1. So have can I do this? Thanks.

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  • Connecting client to JBoss cluster

    - by Nivek
    I am new to JBoss. Basically I have managed to cluster 2 nodes with: Node 1: run.bat -c all -g DefaultPartition –u 230.0.0.4 -b 10.67.51.28 -Djboss.messaging.ServerPeerID=1 Node 2: run.bat -c all -g DefaultPartition –u 230.0.0.4 -b 10.67.50.21 -Djboss.messaging.ServerPeerID=2 I know that if i cofigure a Apache load balancing(Mod_JK) to sit infront of the cluster, the client simply just punch in the IP of the Apache, and Apache will redirect the traffic to the nodes. But I do not want to have a Apache infront of the cluster. So how do my client access the cluster?? Do i need to configure something in JBoss, or isit a MUST to have a load balancer for the client to access the cluster?? MANY thanks in advance....

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  • Nginx config - serving index.html not working

    - by Bill
    I can't figure out how to redirect / to index.html. I've gone through the threads on serverfault and I think I've tried every suggestion including: rewrite statements within location / index index.html at the server level, within location / and within static content moving node.js proxy statements to location ~ /i instead of within location / Obviously something is wrong somewhere else in my configuration. Here is my nginx.conf: worker_processes 1; pid /home/logs/nginx.pid; events { worker_connections 1024; } http { include mime.types; default_type application/octet-stream; sendfile on; keepalive_timeout 65; error_log /home/logs/error.log; access_log /home/logs/access.log combined; include sites-enabled/*; } and my server config located in sites-enabled server { root /home/www/public; listen 80; server_name localhost; # proxy request to node location / { index index.html index.htm; proxy_set_header Host $http_host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header X-NginX-Proxy true; proxy_pass http://127.0.0.1:3010; proxy_redirect off; break; } # static content location ~ \.(?:ico|jpe?g|jpeg|gif|css|png|js|swf|xml|woff|eot|svg|ttf|html)$ { access_log off; add_header Pragma public; add_header Cache-Control public; expires 30d; } gzip on; gzip_vary on; gzip_http_version 1.0; gzip_comp_level 2; gzip_proxied any; gzip_min_length 1000; gzip_disable "msie6"; gzip_types text/plain text/css application/json application/x-javascript text/xml application/xml application/xml+rss text/javascript; } Everything else is working just fine. Requests get proxied to node correctly and static content is served correctly. I just need to be able to forward requests made to / to /index.html.

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  • Templates, interfaces (multiple inheritance) and static functions (named constructors)

    - by fledgling Cxx user
    Setup I have a graph library where I am trying to decompose things as much as possible, and the cleanest way to describe it that I found is the following: there is a vanilla type node implementing only a list of edges: class node { public: int* edges; int edge_count; }; Then, I would like to be able to add interfaces to this whole mix, like so: template <class T> class node_weight { public: T weight; }; template <class T> class node_position { public: T x; T y; }; and so on. Then, the actual graph class comes in, which is templated on the actual type of node: template <class node_T> class graph { protected: node_T* nodes; public: static graph cartesian(int n, int m) { graph r; r.nodes = new node_T[n * m]; return r; } }; The twist is that it has named constructors which construct some special graphs, like a Cartesian lattice. In this case, I would like to be able to add some extra information into the graph, depending on what interfaces are implemented by node_T. What would be the best way to accomplish this? Possible solution I thought of the following humble solution, through dynamic_cast<>: template <class node_T, class weight_T, class position_T> class graph { protected: node_T* nodes; public: static graph cartesian(int n, int m) { graph r; r.nodes = new node_T[n * m]; if (dynamic_cast<node_weight<weight_T>>(r.nodes[0]) != nullptr) { // do stuff knowing you can add weights } if (dynamic_cast<node_position<positionT>>(r.nodes[0]) != nullptr) { // do stuff knowing you can set position } return r; } }; which would operate on node_T being the following: template <class weight_T, class position_T> class node_weight_position : public node, public node_weight<weight_T>, public node_position<position_T> { // ... }; Questions Is this -- philosophically -- the right way to go? I know people don't look nicely at multiple inheritance, though with "interfaces" like these it should all be fine. There are unfortunately problems with this. From what I know at least, dynamic_cast<> involves quite a bit of run-time overhead. Hence, I run into a problem with what I had solved earlier: writing graph algorithms that require weights independently of whether the actual node_T class has weights or not. The solution with this 'interface' approach would be to write a function: template <class node_T, class weight_T> inline weight_T get_weight(node_T const & n) { if (dynamic_cast<node_weight<weight_T>>(n) != nullptr) { return dynamic_cast<node_weight<weight_T>>(n).weight; } return T(1); } but the issue with it is that it works using run-time information (dynamic_cast), yet in principle I would like to decide it at compile-time and thus make the code more efficient. If there is a different solution that would solve both problems, especially a cleaner and better one than what I have, I would love to hear about it!

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  • HAproxy to web host sub directory?

    - by daemonza
    Hi for reasons outside my control, I need to load balance two servers, that run a non-virtual host enabled app on IIS. Normally in HAProxy I would load balance servers(apache, tomcat, etc) like this : acl is_www_example_com hdr_end(host) -i www.example.com use_backend www_example_com if is_www_example_com backend www_example_com balance roundrobin cookie SERVERID insert nocache indirect option httpchk HEAD / HTTP/1.0 option httpclose option forwardfor server node1 192.168.1.1:80 cookie node1 server node1 192.168.1.2:80 cookie node1 Which will route to the node 1 and node 2 server and serve up the virtual host site. if I need to route to www.example.com/application/data How would I be able to do it, with the above example, if at all even possible?

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  • iSCSI logout Input output error

    - by liuzhijun
    203 hava a iSCSI target named poolA that I am trying to log into using this command: iscsiadm -m node -T poolA -p 192.168.0.203 -l I am trying to use it as a vg. Secondly, I create two lvs on this vg, and lastly, I logout: iscsiadm -m node -T poolA -p 192.168.0.203 -u After I execute lvs, the following error occurs: /dev/dm-2: read failed after 0 of 4096 at 0: Input/output error /dev/dm-5: read failed after 0 of 4096 at 0: Input/output error Can I get around this error without a reboot? Thanks!

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  • SQL SERVER – Configure Management Data Collection in Quick Steps – T-SQL Tuesday #005

    - by pinaldave
    This article was written as a response to T-SQL Tuesday #005 – Reporting. The three most important components of any computer and server are the CPU, Memory, and Hard disk specification. This post talks about  how to get more details about these three most important components using the Management Data Collection. Management Data Collection generates the reports for the three said components by default. Configuring Data Collection is a very easy task and can be done very quickly. Please note: There are many different ways to get reports generated for CPU, Memory and IO. You can use DMVs, Extended Events as well Perfmon to trace the data. Keeping the T-SQL Tuesday subject of reporting this post is created to give visual tutorial to quickly configure Data Collection and generate Reports. From Book On-Line: The data collector is a core component of the Data Collection platform for SQL Server 2008 and the tools that are provided by SQL Server. The data collector provides one central point for data collection across your database servers and applications. This collection point can obtain data from a variety of sources and is not limited to performance data, unlike SQL Trace. Let us go over the visual tutorial on how quickly Data Collection can be configured. Expand the management node under the main server node and follow the direction in the pictures. This reports can be exported to PDF as well Excel by writing clicking on reports. Now let us see more additional screenshots of the reports. The reports are very self-explanatory  but can be drilled down to get further details. Click on the image to make it larger. Well, as we can see, it is very easy to configure and utilize this tool. Do you use this tool in your organization? Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Reporting, SQL Reports

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  • Unavailable repository

    - by katrina
    I am new to Ubuntu and keep butting up against errors, such as this: Package libpng12-dev is not available, but is referred to by another package. This may mean that the package is missing, has been obsoleted, or is only available from another source However the following packages replace it: libpng12-0 E: Unable to locate package subversion E: Package 'git-core' has no installation candidate E: Package 'build-essential' has no installation candidate E: Package 'autoconf' has no installation candidate E: Package 'libtool' has no installation candidate E: Unable to locate package libxml2-dev E: Unable to locate package libgeos-dev E: Unable to locate package libpq-dev E: Unable to locate package libbz2-dev E: Package 'proj' has no installation candidate E: Unable to locate package munin-node E: Unable to locate package munin E: Unable to locate package libprotobuf-c0-dev E: Unable to locate package protobuf-c-compiler E: Unable to locate package libfreetype6-dev E: Package 'libpng12-dev' has no installation candidate E: Unable to locate package libtiff4-dev E: Unable to locate package libicu-dev E: Unable to locate package libboost-all-dev E: Unable to locate package libgdal-dev E: Unable to locate package libcairo-dev E: Unable to locate package libcairomm-1.0-dev E: Couldn't find any package by regex 'libcairomm-1.0-dev' E: Unable to locate package apache2 E: Unable to locate package apache2-dev E: Unable to locate package libagg-dev when I want to do this: sudo apt-get install subversion git-core tar unzip wget bzip2 build-essential autoconf libtool libxml2-dev libgeos-dev libpq-dev libbz2-dev proj munin-node munin libprotobuf-c0-dev protobuf-c-compiler libfreetype6-dev libpng12-dev libtiff4-dev libicu-dev libboost-all-dev libgdal-dev libcairo-dev libcairomm-1.0-dev apache2 apache2-dev libagg-dev. Any help or advice would be greatly appreciated. Or referrals to other questions...

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  • Getting Started with Employee Info Starter Kit (v4.0.0)

    - by joycsharp
    The new release of Employee Info Starter Kit contains lots of exciting features available in Visual Studio 2010 and .NET 4.0. To get started with the new version, you will need less than 5 minutes. Minimum System Requirements Before getting started, please make sure you have installed Visual Studio 2010 RC (or higher) and Sql Server 2005 Express edition (or higher installed on your machine. Running the Starter Kit for First Time 1. Download the starter kit 4.0.0 version form here and extract it. 2. Go to <extraction folder>\Source\Eisk.Solution and click the solution file 3. From the solution explorer, right click the “Eisk.Web” web site project node and select “Set as Startup Project” and hit Ctrl + F5   4. You will be prompted to install database, just follow the instruction. That’s it! You are ready to use this starter kit. Running the Tests Employee Info Starter Kit contains a infrastructure for Integration and Unit Testing, by utilizing cool test tools in Visual Studio 2010. Once you complete the steps, mentioned above, take a minute to run the test cases on the fly. 1. From the solution explorer, to go “Solution Items\e-i-s-k-2010.vsmdi” and click it. You will see the available Tests in the Visual Studio Test Lists. Select all, except the “Load Tests” node (since Load Tests takes a bit time) 2. Click “Run Checked Tests” control from the upper left corner. You will see the tests running and finally the status of the tests, which indicates the current health of you application from different scenarios. Technorati Tags: asp.net,architecture,starter kit,employee info starter kit,visual studio 2010,.net 4.0,entity framework

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  • Getting Started with Employee Info Starter Kit (v4.0.0)

    - by Mohammad Ashraful Alam
    The new release of Employee Info Starter Kit contains lots of exciting features available in Visual Studio 2010 and .NET 4.0. To get started with the new version, you will need less than 5 minutes. Minimum System Requirements Before getting started, please make sure you have installed Visual Studio 2010 RC (or higher) and Sql Server 2005 Express edition (or higher installed on your machine. Running the Starter Kit for First Time 1. Download the starter kit 4.0.0 version form here and extract it. 2. Go to <extraction folder>\Source\Eisk.Solution and click the solution file 3. From the solution explorer, right click the “Eisk.Web” web site project node and select “Set as Startup Project” and hit Ctrl + F5   4. You will be prompted to install database, just follow the instruction. That’s it! You are ready to use this starter kit. Running the Tests Employee Info Starter Kit contains a infrastructure for Integration and Unit Testing, by utilizing cool test tools in Visual Studio 2010. Once you complete the steps, mentioned above, take a minute to run the test cases on the fly. 1. From the solution explorer, to go “Solution Items\e-i-s-k-2010.vsmdi” and click it. You will see the available Tests in the Visual Studio Test Lists. Select all, except the “Load Tests” node (since Load Tests takes a bit time) 2. Click “Run Checked Tests” control from the upper left corner. You will see the tests running and finally the status of the tests, which indicates the current health of you application from different scenarios. Technorati Tags: asp.net,architecture,starter kit,employee info starter kit,visual studio 2010,.net 4.0,entity framework

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  • Creating block devices for openstack deployment using MAAS and juju (nova-volume deployment)

    - by Tom Van Hoof
    Hi, I'm currently trying to get a openstack deployment working by using MAAS with 9 nodes and juju. To do this I found this guide, working with ubuntu 12.04 LTS https://help.ubuntu.com/community/UbuntuCloudInfrastructure and followed it as good as I can. After a vigorous amount of trial and error I finally got to the point where I'm supposed to deploy nova-volume using the "custom" config file. However when my node is started and shows up as running in the "juju status" report the service reports the installation failed. I'm trying to install with juju jitsu by the way. I think it has something to do with the following statement in the openstack.cfg file : nova-volume: # This must be a free block device that is writable on the nova-volume host. block-device: "xvdb" overwrite: "true" I did some research and found that (at least I think) this refers to a Xen Virtual Drive/device, and because the device is not present on the node it's being deployed to, the installation fails. What I don't understand is how I am supposed to have such a block device available on a machine which was completely managed by MAAS. Does anyone here have any experience with this and knows of a way to solve this, or am I missing something big here. Some kind of missing link between the MAAS and a separate XEN host ? My MAAS server is ubuntu 12.04LTS Server. All help is welcome. Kind regards, Tom

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  • Using Oracle Enterprise Manager Ops Center to Update Solaris via Live Upgrade

    - by LeonShaner
    Introduction: This Oracle Enterprise Manager Ops Center blog entry provides tips for using Ops Center to update Solaris using Live Upgrade on Solaris 10 and Boot Environments on Solaris 11. Why use Live Upgrade? Live Upgrade (LU) can significantly reduce downtime associated with patching Live Upgrade avoids dropping to single-user mode for long periods of time during patching Live Upgrade relies on an Alternate Boot Environment (ABE)/(BE), which is patched while in multi-user mode; thereby allowing normal system operations to continue with the active BE, while the alternate BE is being patched Activating an newly patched (A)BE is essentially a reboot; therefore the downtime is ~= reboot Admins can easily revert to the prior Boot Environment (BE) as a safeguard / fallback. Why use Ops Center to patch via Live Upgrade, Alternate Boot Environments, and Solaris 11 equivalents? All the benefits of Ops Center's extensive patch and package knowledge base can be leveraged on top of Live Upgrade Ops Center can orchestrate patching based on Live Upgrade and Solaris 11 features, which all works together to minimize downtime Ops Centers advanced inventory and reporting features assurance that each OS is updated to a verifiable, consistent standard, rather than relying on ad-hoc (error prone) procedures and scripts Ops Center gives admins control over the boot environment specifications or they can let Ops Center decide when a BE is necessary, thereby reducing complexity and lowering the opportunity for user error Preparing to use Live Upgrade-like features in Solaris 11 Requirements and information you should know: Global Zone Root file-systems must be separate from Solaris Container / Zone filesystems Solaris 11 has features which are similar in concept to Live Upgrade on Solaris 10, but differ greatly in implementationImportant distinctions: Solaris 11 assumes ZFS root Solaris 11 adds Boot Environments (BE's) as an integrated feature (see beadm) Solaris 11 BE's avoid single-user patching (vs. Solaris 10 w/ ZFS snapshot=ABE). Solaris 11 Image Packaging System (IPS) has hooks for BE creation, as needed Solaris 11 allows pkgs to be installed + upgraded in alternate BE (e.g. instead of the live system) but it is controlled on a per-pkg basis Boot Environments are activated across a reboot; instead of spending long periods installing + upgrading packages in single user mode. Fallback to a prior BE is a function of the BE infrastructure (a la beadm). (Generally) Reboot + BE activation can be much much faster on Solaris 11 Preparing to use Live Upgrade on Solaris 10 Requirements and information you should know: Global Zone Root file-systems must be separate from Solaris Container / Zone filesystems Live Upgrade Pre-requisite patches must be applied before the first Live Upgrade Alternate Boot Environments are created (see "Pre-requisite Patches" section, below...) Solaris 10 Update 6 or newer on ZFS root is the practical starting point for Live Upgrade Live Upgrade with ZFS root is far more straight-forward than any scheme based on Alternative Boot Environments in slices or temporarily breaking mirrors Use Solaris best practices to upgrade the OS to at least Solaris 10 Update 4 (outside of Ops Center) UFS root can (technically) be used, but it is significantly more involved (e.g. discouraged) -- there are many reasons to move to ZFS while going through the process to update to Solaris 10 Update 6 or newer (out side of Ops Center) Recommendation: Start with Solaris 10 Update 6 or newer on ZFS root Recommendation: Start with Ops Center 12c or newer Ops Center 12c can automatically create your ABE's for you, without the need for custom scripts Ops Center 12c Update 2 avoids kernel panic on unpatched Solaris 10 update 9 (and older) -- unrelated to Live Upgrade, but more on the issue, below. NOTE: There is no magic!  If you have systems running Solaris 10 Update 5 or older on UFS root, and you don't know how to get them updated to Solaris 10 on ZFS root, then there are services available from Oracle Advanced Customer Support (ACS), which specialize in this area. Live Upgrade Pre-requisite Patches (Solaris 10) Certain Live Upgrade related patches must be present before the first Live Upgrade ABE's are created on Solaris 10.Use the following MOS Search String to find the “living document” that outlines the required patch minimums, which are necessary before using any Live Upgrade features: Solaris Live Upgrade Software Patch Requirements(Click above – the link is valid as of this writing, but search in MOS for the same "Solaris Live Upgrade Software Patch Requirements" string if necessary) It is a very good idea to check the document periodically and adapt to its contents, accordingly.IMPORTANT:  In case it wasn't clear in the above document, some direct patching of the active OS, including a reboot, may be required before Live Upgrade can be successfully used the first time.HINT: You can use Ops Center to determine what to expect for a given system, and to schedule the “pre-patching” during a maintenance window if necessary. Preparing to use Ops Center Discover + Manage (Install + Configure the Ops Center agent in) each Global Zone Recommendation:  Begin by using OCDoctor --agent-prereq to determine whether OS meets OC prerequisites (resolve any issues) See prior requirements and recommendations w.r.t. starting with Solaris 10 Update 6 or newer on ZFS (or at least Solaris 10 Update 4 on UFS, with caveats) WARNING: Systems running unpatched Solaris 10 update 9 (or older) should run the Ops Center 12c Update 2 agent to avoid a potential kernel panic The 12c Update 2 agent will check patch minimums and disable certain process accounting features if the kernel is not sufficiently patched to avoid the panic SPARC: 142900-05 Obsoleted by: 142900-06 SunOS 5.10: kernel patch 10 Oracle Solaris on SPARC (32-bit) X64: 142901-05 Obsoleted by: 142901-06 SunOS 5.10_x86: kernel patch 10 Oracle Solaris on x86 (32-bit) OR SPARC: 142909-17 SunOS 5.10: kernel patch 10 Oracle Solaris on SPARC (32-bit) X64: 142910-17 SunOS 5.10_x86: kernel patch 10 Oracle Solaris on x86 (32-bit) Ops Center 12c (initial release) and 12c Update 1 agent can also be safely used with a workaround (to be performed BEFORE installing the agent): # mkdir -p /etc/opt/sun/oc # echo "zstat_exacct_allowed=false" > /etc/opt/sun/oc/zstat.conf # chmod 755 /etc/opt/sun /etc/opt/sun/oc # chmod 644 /etc/opt/sun/oc/zstat.conf # chown -Rh root:sys /etc/opt/sun/oc NOTE: Remove the above after patching the OS sufficiently, or after upgrading to the 12c Update 2 agent Using Ops Center to apply Live Upgrade-related Pre-Patches (Solaris 10)Overview: Create an OS Update Profile containing the minimum LU-related pre-patches, based on the Solaris Live Upgrade Software Patch Requirements, previously mentioned. SIMULATE the deployment of the LU-related pre-patches Observe whether any of the LU-related pre-patches will require a reboot The job details for each Global Zone will advise whether a reboot step will be required ACTUALLY deploy the LU-related pre-patches, according to your change control process (e.g. if no reboot, maybe okay to do now; vs. must do later because of the reboot). You can schedule the job to occur later, during a maintenance window Check the job status for each node, resolving any issues found Once the LU-related pre-patches are applied, you can Ops Center to patch using Live Upgrade on Solaris 10 Using Ops Center to patch Solaris 10 with LU/ABE's -- the GOODS!(this is the heart of the tip): Create an OS Update Profile containing the patches that make up your standard build Use Solaris Baselines when possible Add other individual patches as needed ACTUALLY deploy the OS Update Profile Specify the appropriate Live Upgrade options, e.g. Synchronize the active BE to the alternate BE before patching Do not activate the BE after patching Check the job status for each node, resolving any issues found Activate the newly patched BE according to your change control process Activate = Reboot to the ABE, making the ABE the new active BE Ops Center does not separate LU activate from reboot, so expect a reboot! Check the job status for each node, resolving any issues found Examples (w/Screenshots) Solaris 10 and Live Upgrade: Auto-Create the Alternate Boot Environment (ZFS root only) ABE to be created on ZFS with name S10_12_07REC (Example) Uses built in feature to call “lucreate -n S10_12_07REC” behind scenes if not already present NOTE: Leave “lucreate” params blank (if you do specify options, the will be appended after -n $ABEName) Solaris 10 and Live Upgrade: Alternate Boot Environment Creation via Operational Profile (script) The Alternate Boot Environment is to be created via custom, user-supplied script, which does whatever is needed for the system where Live Upgrade will be used. Operational Profile, which provides the script to create an ABE: Very similar to the automatic case, but with a Script (Operational Profile), which is used to create the ABE Relies on user-supplied script in the form of an Operational Profile Could be used to prepare an ABE based on a UFS root in a slice, or on a separate device (e.g. by breaking a mirror first) – it is up to the script author to do the right thing! EXAMPLE: Same result as the ZFS case, but illustrating the Operational Profile (e.g. script) approach to call: # lucreate -n S10_1207REC NOTE: OC special variable is $ABEName Boot Environment Profile, which references the Operational Profile Script = Operational Profile on this screen Refers to Operational Profile shown in the previous section The user-supplied S10_Create_BE Operational Profile will be run The Operational Profile must send a non-zero exit code if there is a problem (so that the OS Update job will not proceed) Solaris 10 OS Update Profile (to provide the actual patch specifications) Solaris 10 Baseline “Recommended” chosen for “Install” Solaris 10 OS Update Plan (two-steps in this case) “Create a Boot Environment” + “Update OS” are chosen. Using Ops Center to patch Solaris 11 with Boot Environments (as needed) Create a Solaris 11 OS Update Profile containing the packages that make up your standard build ACTUALLY deploy the Solaris 11 OS Update Profile BE will be created if needed (or you can stipulate no BE) BE name will be auto-generated (if needed), or you may specify a BE name Check the job status for each node, resolving any issues found Check if a BE was created; if so, activate the new BE Activate = Reboot to the BE, making the new BE the active BE Ops Center does not separate BE activate from reboot NOTE: Not every Solaris 11 OS Update will require a new BE, so a reboot may not be necessary. Solaris 11: Auto BE Create (as Needed -- let Ops Center decide) BE to be created as needed BE to be named automatically Reboot (if necessary) deferred to separate step Solaris 11: OS Profile Solaris 11 “entire” chosen for a particular SRU Solaris 11: OS Update Plan (w/BE)  “Create a Boot Environment” + “Update OS” are chosen. Summary: Solaris 10 Live Upgrade, Alternate Boot Environments, and their equivalents on Solaris 11 can be very powerful tools to help minimize the downtime associated with updating your servers.  For very old Solaris, there are some important prerequisites to adhere to, but once the initial preparation is complete, Live Upgrade can be used going forward.  For Solaris 11, the built-in Boot Environment handling is leveraged directly by the Image Packaging System, and the result is a much more straight forward way to patch, and far fewer prerequisites to satisfy in getting there.  Ops Center simplifies using either approach, and helps you improve consistency from system to system, which ultimately helps you improve the overall up-time across all the Solaris systems in your environment. Please let us know what you think?  Until next time...\Leon-- Leon Shaner | Senior IT/Product ArchitectSystems Management | Ops Center Engineering @ Oracle The views expressed on this [blog; Web site] are my own and do not necessarily reflect the views of Oracle. For more information, please go to Oracle Enterprise Manager  web page or  follow us at :  Twitter | Facebook | YouTube | Linkedin | Newsletter

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  • raid md device is not remove from memory, how to overcome this problem

    - by santhosha
    i create raid 10 , i removed two arrays form md11 one by one , after that i going to editing the contents those are mounted ( it will be not responding stage), after i try for remove arrays those are left it is shows device or resource busy ( is not removed from memory). i try to terminate process this is also not work, i absorve from 4 days resync will be 8.0% it can not modifying. cat /proc/mdstat Personalities : [raid1] [raid0] [raid6] [raid5] [raid4] [linear] [raid10] md11 : active raid10 sde1[3] sdj14 286743936 blocks 64K chunks 2 near-copies [4/1] [___U] [1:2:3:0] [=...................] resync = 8.0% (23210368/286743936) finish=289392.6min speed=15K/sec mdadm -D /dev/md11 /dev/md11: Version : 00.90.03 Creation Time : Sun Jan 16 16:20:01 2011 Raid Level : raid10 Array Size : 286743936 (273.46 GiB 293.63 GB) Device Size : 143371968 (136.73 GiB 146.81 GB) Raid Devices : 4 Total Devices : 2 Preferred Minor : 11 Persistence : Superblock is persistent Update Time : Sun Jan 16 16:56:07 2011 State : active, degraded, resyncing Active Devices : 1 Working Devices : 1 Failed Devices : 1 Spare Devices : 0 Layout : near=2, far=1 Chunk Size : 64K Rebuild Status : 8% complete UUID : 5e124ea4:79a01181:dc4110d3:a48576ea Events : 0.23 Number Major Minor RaidDevice State 0 0 0 0 removed 1 0 0 1 removed 4 8 145 2 faulty spare rebuilding /dev/sdj1 3 8 65 3 active sync /dev/sde1 umount /dev/md11 umount: /dev/md11: not mounted mdadm -S /dev/md11 mdadm: fail to stop array /dev/md11: Device or resource busy lsof /dev/md11 COMMAND PID USER FD TYPE DEVICE SIZE NODE NAME mount 2128 root 3r BLK 9,11 4058 /dev/md11 mount 5018 root 3r BLK 9,11 4058 /dev/md11 mdadm 27605 root 3r BLK 9,11 4058 /dev/md11 mount 30562 root 3r BLK 9,11 4058 /dev/md11 badblocks 30591 root 3r BLK 9,11 4058 /dev/md11 kill -9 2128 kill -9 5018 kill -9 27605 kill -9 30562 kill -3 30591 mdadm -S /dev/md11 mdadm: fail to stop array /dev/md11: Device or resource busy lsof /dev/md11 COMMAND PID USER FD TYPE DEVICE SIZE NODE NAME mount 2128 root 3r BLK 9,11 4058 /dev/md11 mount 5018 root 3r BLK 9,11 4058 /dev/md11 mdadm 27605 root 3r BLK 9,11 4058 /dev/md11 mount 30562 root 3r BLK 9,11 4058 /dev/md11 badblocks 30591 root 3r BLK 9,11 4058 /dev/md11 cat /proc/mdstat Personalities : [raid1] [raid0] [raid6] [raid5] [raid4] [linear] [raid10] md11 : active raid10 sde1[3] sdj14 286743936 blocks 64K chunks 2 near-copies [4/1] [___U] [1:2:3:0] [=...................] resync = 8.0% (23210368/286743936) finish=289392.6min speed=15K/sec

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  • Cocos2d-x CCFollow Zooming issue

    - by blakey87
    Hi I am currently building a cocos2d-x game which incorporates pinch zoom using CCLayerPanZoom class which can be found here The problem is basically when using CCFollow and zooming and out, it does'nt zoom on the actually followed node, so the camera appears to zoom towards the bottom left corner of the screen, when I would rather it zoom centrally on the followed node. If I could resolve this I would pretty darn happy. I converted a fix from the cocos2d objective C version in the CCfollow class to cocos2d-x which improved the issue,but if you look at the post in latter link you will see the guy is having the exact same problem, he gave up on fixing it sadly. I think its close but I don't really know what going on, hopefully someone out there has already faced and fixed this problem. My converted code is below. CCPoint p1 = ccpMult(m_obHalfScreenSize, m_pTarget->getScale() ); CCPoint p2 = ccpMult(m_pobFollowedNode->getPosition(), m_pTarget->getScale() ); CCPoint offect = ccpMult(ccpSub(p1, m_obHalfScreenSize), 0.5f); CCPoint tempPos = ccpAdd(ccpSub(p1, p2), offect); m_pTarget->setPosition(ccp(clampf(tempPos.x,m_fLeftBoundary,m_fRightBoundary), clampf(tempPos.y,m_fBottomBoundary,m_fTopBoundary))); I have attached before and after to hopefully make things more clear.

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  • Failed to load viewstate.The control tree into which viewstate is being loaded...etc

    - by alaa9jo
    Two days ago,a colleague of mine tried to publish an asp.net website (which is built in VS2008 using framework 3.5) to our server,he configured everything in IIS (he made sure that the selected asp.net version is 2.0) and launched the website..at first it was working great but when he tried to click on a specific treeview...BOOM..: "Failed to load viewstate. The control tree into which viewstate is being loaded must match the control tree that was used to save viewstate during the previous request. For example, when adding controls dynamically, the controls added during a post-back must match the type and position of the controls added during the initial request." In that page there were these control: a TreeView and a Placeholder,when the user selects any node then it's controls will be created dynamically into that placeholder..for the first time it's working fine but when (s)he select another node then that issue appears. He called me to help him with this issue,for me this is the first time I see such an issue,scratch my head then I decided to eliminate the possibilities of this issue one by one,at the development machine it's working perfectly,he published the website at the local IIS and again..it's working perfectly,I took a copy of the website and published it into my laptop but no issues at all,so this is means that it's not an issue in the code. So there is something missing/wrong in our server [it has Windows Server 2003],we went to the server and checked on the web-config and the configurations on IIS...nothing wrong so far,so I decided to check if the framework 3.5 is installed or not and the answer: it wasn't installed Of course he assumed that it was installed and there was nothing to tell if it wasn't from the "ASP.Net version" in IIS because frameworks 3.0 and 3.5 will not be listed there [2.0 will be listed there instead],the only way to check if it was installed or not is to search for the framework in this path:[WINDOWS Folder]\Microsoft.NET\Framework or check if it was installed in Add or remove programs. The obvious solution for his case: We installed Framework 3.5 SP1 into our server,did a restart to the machine and it worked ! If anyone faced the same issue and solved it using the same solution or with a different one please post it here to share experience.

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  • Java - System design with distributed Queues and Locks

    - by sunny
    Looking for inputs to evaluate a design for a system (java) which would have a distributed queue serving several (but not too many) nodes. These nodes would process objects present in the distributed queue and on occasion require a distributed lock across the cluster on an arbitrary (distributed) data structures. These (distributed) data structures could potentially lie in a distributed cache. Eliminating Terracotta (DSO),Hazelcast and Akka what could be alternative choices. Currently considering zookeeper as a distributed locking mechanism. Since the recommendation of a znode is not to exceed the 1M size , the understanding is that zookeeper should not be used a distributed queue. And also from Netflix curator tech note 4. So should a distributed cache, say like memcached, or redis be used to emulate a distributed queue ? i.e. The distributed queue will be stored in the caches and will be locked cluster-wide via zookeeper. Are there potential pitfalls with this high-level approach. The objects don't need to be taken off the queue. The object will pass through a lifecycle which will determine its removal from the queue. There would be about 10k+ objects in a queue at a given time changing states and any node could service one stage of the object's lifecycle. (Although not strictly necessary .. i.e. one node could serve the entire lifecycle if that is more efficient.) Any suggestions/alternatives ? sidenote: new to zookeeper ; redis etc.

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  • Building Simple Workflows in Oozie

    - by dan.mcclary
    Introduction More often than not, data doesn't come packaged exactly as we'd like it for analysis. Transformation, match-merge operations, and a host of data munging tasks are usually needed before we can extract insights from our Big Data sources. Few people find data munging exciting, but it has to be done. Once we've suffered that boredom, we should take steps to automate the process. We want codify our work into repeatable units and create workflows which we can leverage over and over again without having to write new code. In this article, we'll look at how to use Oozie to create a workflow for the parallel machine learning task I described on Cloudera's site. Hive Actions: Prepping for Pig In my parallel machine learning article, I use data from the National Climatic Data Center to build weather models on a state-by-state basis. NCDC makes the data freely available as gzipped files of day-over-day observations stretching from the 1930s to today. In reading that post, one might get the impression that the data came in a handy, ready-to-model files with convenient delimiters. The truth of it is that I need to perform some parsing and projection on the dataset before it can be modeled. If I get more observations, I'll want to retrain and test those models, which will require more parsing and projection. This is a good opportunity to start building up a workflow with Oozie. I store the data from the NCDC in HDFS and create an external Hive table partitioned by year. This gives me flexibility of Hive's query language when I want it, but let's me put the dataset in a directory of my choosing in case I want to treat the same data with Pig or MapReduce code. CREATE EXTERNAL TABLE IF NOT EXISTS historic_weather(column 1, column2) PARTITIONED BY (yr string) STORED AS ... LOCATION '/user/oracle/weather/historic'; As new weather data comes in from NCDC, I'll need to add partitions to my table. That's an action I should put in the workflow. Similarly, the weather data requires parsing in order to be useful as a set of columns. Because of their long history, the weather data is broken up into fields of specific byte lengths: x bytes for the station ID, y bytes for the dew point, and so on. The delimiting is consistent from year to year, so writing SerDe or a parser for transformation is simple. Once that's done, I want to select columns on which to train, classify certain features, and place the training data in an HDFS directory for my Pig script to access. ALTER TABLE historic_weather ADD IF NOT EXISTS PARTITION (yr='2010') LOCATION '/user/oracle/weather/historic/yr=2011'; INSERT OVERWRITE DIRECTORY '/user/oracle/weather/cleaned_history' SELECT w.stn, w.wban, w.weather_year, w.weather_month, w.weather_day, w.temp, w.dewp, w.weather FROM ( FROM historic_weather SELECT TRANSFORM(...) USING '/path/to/hive/filters/ncdc_parser.py' as stn, wban, weather_year, weather_month, weather_day, temp, dewp, weather ) w; Since I'm going to prepare training directories with at least the same frequency that I add partitions, I should also add that to my workflow. Oozie is going to invoke these Hive actions using what's somewhat obviously referred to as a Hive action. Hive actions amount to Oozie running a script file containing our query language statements, so we can place them in a file called weather_train.hql. Starting Our Workflow Oozie offers two types of jobs: workflows and coordinator jobs. Workflows are straightforward: they define a set of actions to perform as a sequence or directed acyclic graph. Coordinator jobs can take all the same actions of Workflow jobs, but they can be automatically started either periodically or when new data arrives in a specified location. To keep things simple we'll make a workflow job; coordinator jobs simply require another XML file for scheduling. The bare minimum for workflow XML defines a name, a starting point, and an end point: <workflow-app name="WeatherMan" xmlns="uri:oozie:workflow:0.1"> <start to="ParseNCDCData"/> <end name="end"/> </workflow-app> To this we need to add an action, and within that we'll specify the hive parameters Also, keep in mind that actions require <ok> and <error> tags to direct the next action on success or failure. <action name="ParseNCDCData"> <hive xmlns="uri:oozie:hive-action:0.2"> <job-tracker>localhost:8021</job-tracker> <name-node>localhost:8020</name-node> <configuration> <property> <name>oozie.hive.defaults</name> <value>/user/oracle/weather_ooze/hive-default.xml</value> </property> </configuration> <script>ncdc_parse.hql</script> </hive> <ok to="WeatherMan"/> <error to="end"/> </action> There are a couple of things to note here: I have to give the FQDN (or IP) and port of my JobTracker and NameNode. I have to include a hive-default.xml file. I have to include a script file. The hive-default.xml and script file must be stored in HDFS That last point is particularly important. Oozie doesn't make assumptions about where a given workflow is being run. You might submit workflows against different clusters, or have different hive-defaults.xml on different clusters (e.g. MySQL or Postgres-backed metastores). A quick way to ensure that all the assets end up in the right place in HDFS is just to make a working directory locally, build your workflow.xml in it, and copy the assets you'll need to it as you add actions to workflow.xml. At this point, our local directory should contain: workflow.xml hive-defaults.xml (make sure this file contains your metastore connection data) ncdc_parse.hql Adding Pig to the Ooze Adding our Pig script as an action is slightly simpler from an XML standpoint. All we do is add an action to workflow.xml as follows: <action name="WeatherMan"> <pig> <job-tracker>localhost:8021</job-tracker> <name-node>localhost:8020</name-node> <script>weather_train.pig</script> </pig> <ok to="end"/> <error to="end"/> </action> Once we've done this, we'll copy weather_train.pig to our working directory. However, there's a bit of a "gotcha" here. My pig script registers the Weka Jar and a chunk of jython. If those aren't also in HDFS, our action will fail from the outset -- but where do we put them? The Jython script goes into the working directory at the same level as the pig script, because pig attempts to load Jython files in the directory from which the script executes. However, that's not where our Weka jar goes. While Oozie doesn't assume much, it does make an assumption about the Pig classpath. Anything under working_directory/lib gets automatically added to the Pig classpath and no longer requires a REGISTER statement in the script. Anything that uses a REGISTER statement cannot be in the working_directory/lib directory. Instead, it needs to be in a different HDFS directory and attached to the pig action with an <archive> tag. Yes, that's as confusing as you think it is. You can get the exact rules for adding Jars to the distributed cache from Oozie's Pig Cookbook. Making the Workflow Work We've got a workflow defined and have collected all the components we'll need to run. But we can't run anything yet, because we still have to define some properties about the job and submit it to Oozie. We need to start with the job properties, as this is essentially the "request" we'll submit to the Oozie server. In the same working directory, we'll make a file called job.properties as follows: nameNode=hdfs://localhost:8020 jobTracker=localhost:8021 queueName=default weatherRoot=weather_ooze mapreduce.jobtracker.kerberos.principal=foo dfs.namenode.kerberos.principal=foo oozie.libpath=${nameNode}/user/oozie/share/lib oozie.wf.application.path=${nameNode}/user/${user.name}/${weatherRoot} outputDir=weather-ooze While some of the pieces of the properties file are familiar (e.g., JobTracker address), others take a bit of explaining. The first is weatherRoot: this is essentially an environment variable for the script (as are jobTracker and queueName). We're simply using them to simplify the directives for the Oozie job. The oozie.libpath pieces is extremely important. This is a directory in HDFS which holds Oozie's shared libraries: a collection of Jars necessary for invoking Hive, Pig, and other actions. It's a good idea to make sure this has been installed and copied up to HDFS. The last two lines are straightforward: run the application defined by workflow.xml at the application path listed and write the output to the output directory. We're finally ready to submit our job! After all that work we only need to do a few more things: Validate our workflow.xml Copy our working directory to HDFS Submit our job to the Oozie server Run our workflow Let's do them in order. First validate the workflow: oozie validate workflow.xml Next, copy the working directory up to HDFS: hadoop fs -put working_dir /user/oracle/working_dir Now we submit the job to the Oozie server. We need to ensure that we've got the correct URL for the Oozie server, and we need to specify our job.properties file as an argument. oozie job -oozie http://url.to.oozie.server:port_number/ -config /path/to/working_dir/job.properties -submit We've submitted the job, but we don't see any activity on the JobTracker? All I got was this funny bit of output: 14-20120525161321-oozie-oracle This is because submitting a job to Oozie creates an entry for the job and places it in PREP status. What we got back, in essence, is a ticket for our workflow to ride the Oozie train. We're responsible for redeeming our ticket and running the job. oozie -oozie http://url.to.oozie.server:port_number/ -start 14-20120525161321-oozie-oracle Of course, if we really want to run the job from the outset, we can change the "-submit" argument above to "-run." This will prep and run the workflow immediately. Takeaway So, there you have it: the somewhat laborious process of building an Oozie workflow. It's a bit tedious the first time out, but it does present a pair of real benefits to those of us who spend a great deal of time data munging. First, when new data arrives that requires the same processing, we already have the workflow defined and ready to run. Second, as we build up a set of useful action definitions over time, creating new workflows becomes quicker and quicker.

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  • Announcing Berkeley DB Java Edition Major Release

    - by Eric Jensen
    Berkeley DB Java Edition 5.0 was just released. There are a number of new features, enhancements, and options in there that our users have been asking for. Chief among them is a new class called DiskOrderedCursor, which greatly increases performance of systems using spinning platter magnetic hard drives. A number of users expressed interest in this feature, including Alex Feinberg of LinkedIn. Berkeley DB Java Edition is part of Project Voldemort, a distributed key/value database used by LinkedIn. There have been many other improvements and optimizations. Concurrency is significantly improved, as is the performance of update and delete operations. New and interesting methods include Environment.preload, which allows multiple databases to be preloaded simultaneously. New Cursor methods enable for more effective searching through the database. We continue to enhance Berkeley DB Java Edition’s High Availability as well. One new feature is the ability to open a replicated node read-only when the master is unavailable. This can allow critical systems to continue offering some functionality, even during a network or master node failure. There’s a lot more in release 5.0. I encourage you to take a look at the extensive changelog yourself. As always, you can download the new release and try it out here: http://www.oracle.com/technetwork/database/berkeleydb/downloads/index.html

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  • MySQL Cluster 7.3 - Join This Week's Webinar to Learn What's New

    - by Mat Keep
    The first Development Milestone and Early Access releases of MySQL Cluster 7.3 were announced just several weeks ago. To provide more detail and demonstrate the new features, Andrew Morgan and I will be hosting a live webinar this coming Thursday 25th October at 0900 Pacific Time / 16.00 UTC Even if you can't make the live webinar, it is still worth registering for the event as you will receive a notification when the replay will be available, to view on-demand at your convenience In the webinar, we will discuss the enhancements being previewed as part of MySQL Cluster 7.3, including: - Foreign Key Constraints: Yes, we've looked into the future and decided Foreign Keys are it ;-) You can read more about the implementation of Foreign Keys in MySQL Cluster 7.3 here - Node.js NoSQL API: Allowing web, mobile and cloud services to query and receive results sets from MySQL Cluster, natively in JavaScript, enables developers to seamlessly couple high performance, distributed applications with a high performance, distributed, persistence layer delivering 99.999% availability. You can study the Node.js / MySQL Cluster tutorial here - Auto-Installer: This new web-based GUI makes it simple for DevOps teams to quickly configure and provision highly optimized MySQL Cluster deployments on-premise or in the cloud You can view a YouTube tutorial on the MySQL Cluster Auto-Installer here  So we have a lot to cover in our 45 minute session. It will be time well spent if you want to know more about the future direction of MySQL Cluster and how it can help you innovate faster, with greater simplicity. Registration is open 

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  • Strange Misleading Error[XML -2018/ AC-10006] when doing the R12 Cloning

    - by [email protected]
    During the recent Multi Node to Single Node R12 Clone, Encountered an strange error. When doing the database portion of the clone. Below command 'adclonectx.pl' creates the Context file perl adclonectx.pl contextfile=$ORACLE_HOME/appsutil/SOURCE_CONTEXT_FILE.xml template=$ORACLE_HOME/appsutil/template/adxdbctx.tmp pairsfile=$ORACLE_HOME/appsutil/clone/pairsfile.txt initialnode   When running the same command, It dumped the below error,   file:/tmp/tmpCtxClone.xml<Line 1, Column 1>: XML-20108: (Fatal Error) Start of root element expected. AC-10006: Exception - org.xml.sax.SAXParseException: file:/tmp/tmpCtxClone.xml<Line 1, Column 1>: XML-20108: (Fatal Error) Start of root element expected. thrown while creating OAVars object for file: /tmp/tmpCtxClone.xml The new database context file has been created :   /opt/oracle/product/11.1.0_IOFT/appsutil/IOFT_frws35ta.xml   At first site, I suspected that the issue is with format of the source xml file. Hence compared with the working XML file. Result is clean. Below portion of the error struck me Thrown while creating OAVars object for file: /tmp//dummy.xml   Cause : The /tmp is 100% full.   Fix: Either remove the old files in /tmp  directory  OR  export TEMP=/new/location where there is plenty of free space.

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  • How to use Nginx to export the mongoDB connection?

    - by Totty
    I have on my server 2 things: the node.js server and a mongodb database; The node.js server is reachable from myip/server; and now I would like to export the mongodb database to myip/database for example. Now when I use my mongodb viewer (MongoVUE) with "http://myip/database:9000" (the port 9000 is set in nginx and it's also the port that I start mongod). If I go to "http://myip/database:9000" or "http://myip/database" in a browser it look like: "You are trying to access MongoDB on the native driver port. For http diagnostic access, add 1000 to the port number". But in MongoVUE it says: Unable to connect to server 192.168.1.16/database:9000: No such host is known. Type: MongoDB.Driver.MongoConnectionException Stack: at MongoDB.Driver.Internal.DirectConnector.Connect(TimeSpan timeout) at MongoDB.Driver.MongoServer.Connect(TimeSpan timeout, ConnectWaitFor waitFor) at MongoDB.Driver.MongoServer.Connect(TimeSpan timeout) at MongoDB.Driver.MongoServer.Connect() at MangoUI.MMongo.FQlxNlJKqO74gYmXgZR4(Object ) at MangoUI.MMongo.Open(Boolean useSamus) at MangoUI.MMongo.Open() at MangoUI.ComNavTree.wJQdUqApCpjoC39P59n(Object ) at MangoUI.ComNavTree.ExpandMe(MTreeNode expand) at MangoUI.ComNavTree.tree_BeforeExpand(Object sender, TreeViewCancelEventArgs e) No such host is known Type: System.Net.Sockets.SocketException Stack: at System.Net.Dns.GetAddrInfo(String name) at System.Net.Dns.InternalGetHostByName(String hostName, Boolean includeIPv6) at System.Net.Dns.GetHostAddresses(String hostNameOrAddress) at MongoDB.Driver.MongoServerAddress.ToIPEndPoint(AddressFamily addressFamily) at MongoDB.Driver.MongoServerInstance.Connect(Boolean slaveOk) at MongoDB.Driver.Internal.DirectConnector.Connect(TimeSpan timeout)

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  • What is the kd tree intersection logic?

    - by bobobobo
    I'm trying to figure out how to implement a KD tree. On page 322 of "Real time collision detection" by Ericson The text section is included below in case Google book preview doesn't let you see it the time you click the link text section Relevant section: The basic idea behind intersecting a ray or directed line segment with a k-d tree is straightforward. The line is intersected against the node's splitting plane, and the t value of intersection is computed. If t is within the interval of the line, 0 <= t <= tmax, the line straddles the plane and both children of the tree are recursively descended. If not, only the side containing the segment origin is recursively visited. So here's what I have: (open image in new tab if you can't see the lettering) The logical tree Here the orange ray is going thru the 3d scene. The x's represent intersection with a plane. From the LEFT, the ray hits: The front face of the scene's enclosing cube, The (1) splitting plane The (2.2) splitting plane The right side of the scene's enclosing cube But here's what would happen, naively following Ericson's basic description above: Test against splitting plane (1). Ray hits splitting plane (1), so left and right children of splitting plane (1) are included in next test. Test against splitting plane (2.1). Ray actually hits that plane, (way off to the right) so both children are included in next level of tests. (This is counter-intuitive - shouldn't only the bottom node be included in subsequent tests) Can some one describe what happens when the orange ray goes through the scene correctly?

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  • Boost your infrastructure with Coherence into the Cloud

    - by Nino Guarnacci
    Authors: Nino Guarnacci & Francesco Scarano,  at this URL could be found the original article:  http://blogs.oracle.com/slc/coherence_into_the_cloud_boost. Thinking about the enterprise cloud, come to mind many possible configurations and new opportunities in enterprise environments. Various customers needs that serve as guides to this new trend are often very different, but almost always united by two main objectives: Elasticity of infrastructure both Hardware and Software Investments related to the progressive needs of the current infrastructure Characteristics of innovation and economy. A concrete use case that I worked on recently demanded the fulfillment of two basic requirements of economy and innovation.The client had the need to manage a variety of data cache, which can process complex queries and parallel computational operations, maintaining the caches in a consistent state on different server instances, on which the application was installed.In addition, the customer was looking for a solution that would allow him to manage the likely situations in load peak during certain times of the year.For this reason, the customer requires a replication site, on which convey part of the requests during periods of peak; the desire was, however, to prevent the immobilization of investments in owned hardware-software architectures; so, to respond to this need, it was requested to seek a solution based on Cloud technologies and architectures already offered by the market. Coherence can already now address the requirements of large cache between different nodes in the cluster, providing further technology to search and parallel computing, with the simultaneous use of all hardware infrastructure resources. Moreover, thanks to the functionality of "Push Replication", which can replicate and update the information contained in the cache, even to a site hosted in the cloud, it is satisfied the need to make resilient infrastructure that can be based also on nodes temporarily housed in the Cloud architectures. There are different types of configurations that can be realized using the functionality "Push-Replication" of Coherence. Configurations can be either: Active - Passive  Hub and Spoke Active - Active Multi Master Centralized Replication Whereas the architecture of this particular project consists of two sites (Site 1 and Site Cloud), between which only Site 1 is enabled to write into the cache, it was decided to adopt an Active-Passive Configuration type (Hub and Spoke). If, however, the requirement should change over time, it will be particularly easy to change this configuration in an Active-Active configuration type. Although very simple, the small sample in this post, inspired by the specific project is effective, to better understand the features and capabilities of Coherence and its configurations. Let's create two distinct coherence cluster, located at miles apart, on two different domain contexts, one of them "hosted" at home (on-premise) and the other one hosted by any cloud provider on the network (or just the same laptop to test it :)). These two clusters, which we call Site 1 and Site Cloud, will contain the necessary information, so a simple client can insert data only into the Site 1. On both sites will be subscribed a listener, who listens to the variations of specific objects within the various caches. To implement these features, you need 4 simple classes: CachedResponse.java Represents the POJO class that will be inserted into the cache, and fulfills the task of containing useful information about the hypothetical links navigation ResponseSimulatorHelper.java Represents a link simulator, which has the task of randomly creating objects of type CachedResponse that will be added into the caches CacheCommands.java Represents the model of our example, because it is responsible for receiving instructions from the controller and performing basic operations against the cache, such as insert, delete, update, listening, objects within the cache Shell.java It is our controller, which give commands to be executed within the cache of the two Sites So, summarily, we execute the java class "Shell", asking it to put into the cache 100 objects of type "CachedResponse" through the java class "CacheCommands", then the simulator "ResponseSimulatorHelper" will randomly create new instances of objects "CachedResponse ". Finally, the Shell class will listen to for events occurring within the cache on the Site Cloud, while insertions and deletions are performed on Site 1. Now, we realize the two configurations of two respective sites / cluster: Site 1 and Site Cloud.For the Site 1 we define a cache of type "distributed" with features of "read and write", using the cache class store for the "push replication", a functionality offered by the project "incubator" of Oracle Coherence.For the "Site Cloud" we expect even the definition of “distributed” cache type with tcp proxy feature enabled, so it can receive updates from Site 1.  Coherence Cache Config XML file for "storage node" on "Site 1" site1-prod-cache-config.xml Coherence Cache Config XML file for "storage node" on "Site Cloud" site2-prod-cache-config.xml For two clients "Shell" which will connect respectively to the two clusters we have provided two easy access configurations.  Coherence Cache Config XML file for Shell on "Site 1" site1-shell-prod-cache-config.xml Coherence Cache Config XML file for Shell on "Site Cloud" site2-shell-prod-cache-config.xml Now, we just have to get everything and run our tests. To start at least one "storage" node (which holds the data) for the "Cloud Site", we can run the standard class  provided OOTB by Oracle Coherence com.tangosol.net.DefaultCacheServer with the following parameters and values:-Xmx128m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=true -Dtangosol.coherence.cacheconfig=config/site2-prod-cache-config.xml-Dtangosol.coherence.clusterport=9002-Dtangosol.coherence.site=SiteCloud To start at least one "storage" node (which holds the data) for the "Site 1", we can perform again the standard class provided by Coherence  com.tangosol.net.DefaultCacheServer with the following parameters and values:-Xmx128m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=true -Dtangosol.coherence.cacheconfig=config/site1-prod-cache-config.xml-Dtangosol.coherence.clusterport=9001-Dtangosol.coherence.site=Site1 Then, we start the first client "Shell" for the "Cloud Site", launching the java class it.javac.Shell  using these parameters and values: -Xmx64m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=false -Dtangosol.coherence.cacheconfig=config/site2-shell-prod-cache-config.xml-Dtangosol.coherence.clusterport=9002-Dtangosol.coherence.site=SiteCloud Finally, we start the second client "Shell" for the "Site 1", re-launching a new instance of class  it.javac.Shell  using  the following parameters and values: -Xmx64m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=false -Dtangosol.coherence.cacheconfig=config/site1-shell-prod-cache-config.xml-Dtangosol.coherence.clusterport=9001-Dtangosol.coherence.site=Site1  And now, let’s execute some tests to validate and better understand our configuration. TEST 1The purpose of this test is to load the objects into the "Site 1" cache and seeing how many objects are cached on the "Site Cloud". Within the "Shell" launched with parameters to access the "Site 1", let’s write and run the command: load test/100 Within the "Shell" launched with parameters to access the "Site Cloud" let’s write and run the command: size passive-cache Expected result If all is OK, the first "Shell" has uploaded 100 objects into a cache named "test"; consequently the "push-replication" functionality has updated the "Site Cloud" by sending the 100 objects to the second cluster where they will have been posted into a respective cache, which we named "passive-cache". TEST 2The purpose of this test is to listen to deleting and adding events happening on the "Site 1" and that are replicated within the cache on "Cloud Site". In the "Shell" launched with parameters to access the "Site Cloud" let’s write and run the command: listen passive-cache/name like '%' or a "cohql" query, with your preferred parameters In the "Shell" launched with parameters to access the "Site 1" let’s write and run the following commands: load test/10 load test2/20 delete test/50 Expected result If all is OK, the "Shell" to Site Cloud let us to listen to all the add and delete events within the cache "cache-passive", whose objects satisfy the query condition "name like '%' " (ie, every objects in the cache; you could change the tests and create different queries).Through the Shell to "Site 1" we launched the commands to add and to delete objects on different caches (test and test2). With the "Shell" running on "Site Cloud" we got the evidence (displayed or printed, or in a log file) that its cache has been filled with events and related objects generated by commands executed from the" Shell "on" Site 1 ", thanks to "push-replication" feature.  Other tests can be performed, such as, for example, the subscription to the events on the "Site 1" too, using different "cohql" queries, changing the cache configuration,  to effectively demonstrate both the potentiality and  the versatility produced by these different configurations, even in the cloud, as in our case. More information on how to configure Coherence "Push Replication" can be found in the Oracle Coherence Incubator project documentation at the following link: http://coherence.oracle.com/display/INC10/Home More information on Oracle Coherence "In Memory Data Grid" can be found at the following link: http://www.oracle.com/technetwork/middleware/coherence/overview/index.html To download and execute the whole sources and configurations of the example explained in the above post,  click here to download them; After download the last available version of the Push-Replication Pattern library implementation from the Oracle Coherence Incubator site, and download also the related and required version of Oracle Coherence. For simplicity the required .jarS to execute the example (that can be found into the Push-Replication-Pattern  download and Coherence Distribution download) are: activemq-core-5.3.1.jar activemq-protobuf-1.0.jar aopalliance-1.0.jar coherence-commandpattern-2.8.4.32329.jar coherence-common-2.2.0.32329.jar coherence-eventdistributionpattern-1.2.0.32329.jar coherence-functorpattern-1.5.4.32329.jar coherence-messagingpattern-2.8.4.32329.jar coherence-processingpattern-1.4.4.32329.jar coherence-pushreplicationpattern-4.0.4.32329.jar coherence-rest.jar coherence.jar commons-logging-1.1.jar commons-logging-api-1.1.jar commons-net-2.0.jar geronimo-j2ee-management_1.0_spec-1.0.jar geronimo-jms_1.1_spec-1.1.1.jar http.jar jackson-all-1.8.1.jar je.jar jersey-core-1.8.jar jersey-json-1.8.jar jersey-server-1.8.jar jl1.0.jar kahadb-5.3.1.jar miglayout-3.6.3.jar org.osgi.core-4.1.0.jar spring-beans-2.5.6.jar spring-context-2.5.6.jar spring-core-2.5.6.jar spring-osgi-core-1.2.1.jar spring-osgi-io-1.2.1.jar At this URL could be found the original article: http://blogs.oracle.com/slc/coherence_into_the_cloud_boost Authors: Nino Guarnacci & Francesco Scarano

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