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  • How to connect a WordPress contact form to another database which uses a form script on a static site?

    - by eirlymeyer
    Static Site B has two separate contact form scripts. One script processes leads via a script developed using Cold Fusion. Another script processes leads via a script using MySql Database. New Site A is being developed using WordPress. How do I use a WordPress Contact Form plug-in to integrate these two scripts (built on ColdFusion, and uses the existing MySQL database) to ensure the same functionality and processing of leads.

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  • Oracle AutoVue Key Highlights from Oracle OpenWorld 2012

    - by Celine Beck
    We closed another successful Oracle Open World for AutoVue. Thanks to everyone who joined us this year. As usual, from customer presentations to evening networking activities, there was enough to keep us busy during the entire event. Here is a summary of some of the key highlights of the conference: Sessions:We had two AutoVue-specific sessions during Oracle Open World this year. The first session was part of the Product Lifecycle Management track and covered how AutoVue can be used to help drive effective decision making and streamline design for manufacturing processes. Attendees had the opportunity to learn from customer speaker GLOBALFOUNDRIES how they have been leveraging Oracle AutoVue within Agile PLM to enable high degree of collaboration during the exceptionally creative phases of their product development processes, securely, without risking valuable intellectual property. If you are interested, you can actually download the presentation by visiting launch.oracle.com/?plmopenworld2012.AutoVue was also featured as part of the Utilities track. This session focused on how visualization solutions play a critical role in effective plant optimization and configuration strategies defined by owners and operators of power generation facilities. Attendees learnt how integrated with document management systems, and enterprise applications like Oracle Primavera and Asset Lifecycle Management, AutoVue improves change management processes; minimizes risks by providing access to accurate engineering drawings which capture and reflect the as-maintained status of assets; and allows customers to drive complex maintenance projects to successful completion.Augmented Business Visualization for Agile PLMDuring Oracle Open World, we also showcased an Augmented Business Visualization-based solution for Oracle Agile PLM. An Augmented Business Visualization (ABV) solution is one where your structured data (from Oracle Agile PLM for instance) and your unstructured data (documents, designs, 3D models, etc) come together to allow you to make better decisions (check out our blog posts on the topic: Augment the Value of Your Data (or Time to replace the “attach” button) and Context is Everything ). As part of the Agile PLM, the idea is to support more effective decision-making by turning 3D assemblies into color-coded reports, and streamlining business processes like Engineering Change Management by enabling the automatic creation of engineering change requests in Agile PLM directly from documents being viewed in AutoVue. More on this coming soon...probably during the Oracle Value Chain Summit to be held in San Francisco, from Feb. 4-6, 2013 in San Francisco! Mark your calendars and stay tuned for more information! And thanks again for joining us at Oracle OpenWorld!

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  • OBIEE 11.1.1 - Built-in BI Metrics for Performance Monitoring

    - by Ahmed Awan
    You can use Fusion Middleware Control metrics to monitor System Components (BI processes) and WebLogic Server processes.   Tip: ·         Use Oracle Enterprise Manager (EM) URL to monitor end to end OBIEE real time performance: :7001/em"http://<server>:7001/em ·         In Oracle Business Intelligence 11g, the perfmon URL is still valid to use i.e. :9704/analytics/saw.dll?Perfmon"http://<server>:9704/analytics/saw.dll?Perfmon

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  • OS Analytics - Deep Dive Into Your OS

    - by Eran_Steiner
    Enterprise Manager Ops Center provides a feature called "OS Analytics". This feature allows you to get a better understanding of how the Operating System is being utilized. You can research the historical usage as well as real time data. This post will show how you can benefit from OS Analytics and how it works behind the scenes. We will have a call to discuss this blog - please join us!Date: Thursday, November 1, 2012Time: 11:00 am, Eastern Daylight Time (New York, GMT-04:00)1. Go to https://oracleconferencing.webex.com/oracleconferencing/j.php?ED=209833067&UID=1512092402&PW=NY2JhMmFjMmFh&RT=MiMxMQ%3D%3D2. If requested, enter your name and email address.3. If a password is required, enter the meeting password: oracle1234. Click "Join". To join the teleconference:Call-in toll-free number:       1-866-682-4770  (US/Canada)      Other countries:                https://oracle.intercallonline.com/portlets/scheduling/viewNumbers/viewNumber.do?ownerNumber=5931260&audioType=RP&viewGa=true&ga=ONConference Code:       7629343#Security code:            7777# Here is quick summary of what you can do with OS Analytics in Ops Center: View historical charts and real time value of CPU, memory, network and disk utilization Find the top CPU and Memory processes in real time or at a certain historical day Determine proper monitoring thresholds based on historical data View Solaris services status details Drill down into a process details View the busiest zones if applicable Where to start To start with OS Analytics, choose the OS asset in the tree and click the Analytics tab. You can see the CPU utilization, Memory utilization and Network utilization, along with the current real time top 5 processes in each category (click the image to see a larger version):  In the above screen, you can click each of the top 5 processes to see a more detailed view of that process. Here is an example of one of the processes: One of the cool things is that you can see the process tree for this process along with some port binding and open file descriptors. On Solaris machines with zones, you get an extra level of tabs, allowing you to get more information on the different zones: This is a good way to see the busiest zones. For example, one zone may not take a lot of CPU but it can consume a lot of memory, or perhaps network bandwidth. To see the detailed Analytics for each of the zones, simply click each of the zones in the tree and go to its Analytics tab. Next, click the "Processes" tab to see real time information of all the processes on the machine: An interesting column is the "Target" column. If you configured Ops Center to work with Enterprise Manager Cloud Control, then the two products will talk to each other and Ops Center will display the correlated target from Cloud Control in this table. If you are only using Ops Center - this column will remain empty. Next, if you view a Solaris machine, you will have a "Services" tab: By default, all services will be displayed, but you can choose to display only certain states, for example, those in maintenance or the degraded ones. You can highlight a service and choose to view the details, where you can see the Dependencies, Dependents and also the location of the service log file (not shown in the picture as you need to scroll down to see the log file). The "Threshold" tab is particularly helpful - you can view historical trends of different monitored values and based on the graph - determine what the monitoring values should be: You can ask Ops Center to suggest monitoring levels based on the historical values or you can set your own. The different colors in the graph represent the current set levels: Red for critical, Yellow for warning and Blue for Information, allowing you to quickly see how they're positioned against real data. It's important to note that when looking at longer periods, Ops Center smooths out the data and uses averages. So when looking at values such as CPU Usage, try shorter time frames which are more detailed, such as one hour or one day. Applying new monitoring values When first applying new values to monitored attributes - a popup will come up asking if it's OK to get you out of the current Monitoring Policy. This is OK if you want to either have custom monitoring for a specific machine, or if you want to use this current machine as a "Gold image" and extract a Monitoring Policy from it. You can later apply the new Monitoring Policy to other machines and also set it as a default Monitoring Profile. Once you're done with applying the different monitoring values, you can review and change them in the "Monitoring" tab. You can also click the "Extract a Monitoring Policy" in the actions pane on the right to save all the new values to a new Monitoring Policy, which can then be found under "Plan Management" -> "Monitoring Policies". Visiting the past Under the "History" tab you can "go back in time". This is very helpful when you know that a machine was busy a few hours ago (perhaps in the middle of the night?), but you were not around to take a look at it in real time. Here's a view into yesterday's data on one of the machines: You can see an interesting CPU spike happening at around 3:30 am along with some memory use. In the bottom table you can see the top 5 CPU and Memory consumers at the requested time. Very quickly you can see that this spike is related to the Solaris 11 IPS repository synchronization process using the "pkgrecv" command. The "time machine" doesn't stop here - you can also view historical data to determine which of the zones was the busiest at a given time: Under the hood The data collected is stored on each of the agents under /var/opt/sun/xvm/analytics/historical/ An "os.zip" file exists for the main OS. Inside you will find many small text files, named after the Epoch time stamp in which they were taken If you have any zones, there will be a file called "guests.zip" containing the same small files for all the zones, as well as a folder with the name of the zone along with "os.zip" in it If this is the Enterprise Controller or the Proxy Controller, you will have folders called "proxy" and "sat" in which you will find the "os.zip" for that controller The actual script collecting the data can be viewed for debugging purposes as well: On Linux, the location is: /opt/sun/xvmoc/private/os_analytics/collect On Solaris, the location is /opt/SUNWxvmoc/private/os_analytics/collect If you would like to redirect all the standard error into a file for debugging, touch the following file and the output will go into it: # touch /tmp/.collect.stderr   The temporary data is collected under /var/opt/sun/xvm/analytics/.collectdb until it is zipped. If you would like to review the properties for the Analytics, you can view those per each agent in /opt/sun/n1gc/lib/XVM.properties. Find the section "Analytics configurable properties for OS and VSC" to view the Analytics specific values. I hope you find this helpful! Please post questions in the comments below. Eran Steiner

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  • SPARC T3-1 Record Results Running JD Edwards EnterpriseOne Day in the Life Benchmark with Added Batch Component

    - by Brian
    Using Oracle's SPARC T3-1 server for the application tier and Oracle's SPARC Enterprise M3000 server for the database tier, a world record result was produced running the Oracle's JD Edwards EnterpriseOne applications Day in the Life benchmark run concurrently with a batch workload. The SPARC T3-1 server based result has 25% better performance than the IBM Power 750 POWER7 server even though the IBM result did not include running a batch component. The SPARC T3-1 server based result has 25% better space/performance than the IBM Power 750 POWER7 server as measured by the online component. The SPARC T3-1 server based result is 5x faster than the x86-based IBM x3650 M2 server system when executing the online component of the JD Edwards EnterpriseOne 9.0.1 Day in the Life benchmark. The IBM result did not include a batch component. The SPARC T3-1 server based result has 2.5x better space/performance than the x86-based IBM x3650 M2 server as measured by the online component. The combination of SPARC T3-1 and SPARC Enterprise M3000 servers delivered a Day in the Life benchmark result of 5000 online users with 0.875 seconds of average transaction response time running concurrently with 19 Universal Batch Engine (UBE) processes at 10 UBEs/minute. The solution exercises various JD Edwards EnterpriseOne applications while running Oracle WebLogic Server 11g Release 1 and Oracle Web Tier Utilities 11g HTTP server in Oracle Solaris Containers, together with the Oracle Database 11g Release 2. The SPARC T3-1 server showed that it could handle the additional workload of batch processing while maintaining the same number of online users for the JD Edwards EnterpriseOne Day in the Life benchmark. This was accomplished with minimal loss in response time. JD Edwards EnterpriseOne 9.0.1 takes advantage of the large number of compute threads available in the SPARC T3-1 server at the application tier and achieves excellent response times. The SPARC T3-1 server consolidates the application/web tier of the JD Edwards EnterpriseOne 9.0.1 application using Oracle Solaris Containers. Containers provide flexibility, easier maintenance and better CPU utilization of the server leaving processing capacity for additional growth. A number of Oracle advanced technology and features were used to obtain this result: Oracle Solaris 10, Oracle Solaris Containers, Oracle Java Hotspot Server VM, Oracle WebLogic Server 11g Release 1, Oracle Web Tier Utilities 11g, Oracle Database 11g Release 2, the SPARC T3 and SPARC64 VII+ based servers. This is the first published result running both online and batch workload concurrently on the JD Enterprise Application server. No published results are available from IBM running the online component together with a batch workload. The 9.0.1 version of the benchmark saw some minor performance improvements relative to 9.0. When comparing between 9.0.1 and 9.0 results, the reader should take this into account when the difference between results is small. Performance Landscape JD Edwards EnterpriseOne Day in the Life Benchmark Online with Batch Workload This is the first publication on the Day in the Life benchmark run concurrently with batch jobs. The batch workload was provided by Oracle's Universal Batch Engine. System RackUnits Online Users Resp Time (sec) BatchConcur(# of UBEs) BatchRate(UBEs/m) Version SPARC T3-1, 1xSPARC T3 (1.65 GHz), Solaris 10 M3000, 1xSPARC64 VII+ (2.86 GHz), Solaris 10 4 5000 0.88 19 10 9.0.1 Resp Time (sec) — Response time of online jobs reported in seconds Batch Concur (# of UBEs) — Batch concurrency presented in the number of UBEs Batch Rate (UBEs/m) — Batch transaction rate in UBEs/minute. JD Edwards EnterpriseOne Day in the Life Benchmark Online Workload Only These results are for the Day in the Life benchmark. They are run without any batch workload. System RackUnits Online Users ResponseTime (sec) Version SPARC T3-1, 1xSPARC T3 (1.65 GHz), Solaris 10 M3000, 1xSPARC64 VII (2.75 GHz), Solaris 10 4 5000 0.52 9.0.1 IBM Power 750, 1xPOWER7 (3.55 GHz), IBM i7.1 4 4000 0.61 9.0 IBM x3650M2, 2xIntel X5570 (2.93 GHz), OVM 2 1000 0.29 9.0 IBM result from http://www-03.ibm.com/systems/i/advantages/oracle/, IBM used WebSphere Configuration Summary Hardware Configuration: 1 x SPARC T3-1 server 1 x 1.65 GHz SPARC T3 128 GB memory 16 x 300 GB 10000 RPM SAS 1 x Sun Flash Accelerator F20 PCIe Card, 92 GB 1 x 10 GbE NIC 1 x SPARC Enterprise M3000 server 1 x 2.86 SPARC64 VII+ 64 GB memory 1 x 10 GbE NIC 2 x StorageTek 2540 + 2501 Software Configuration: JD Edwards EnterpriseOne 9.0.1 with Tools 8.98.3.3 Oracle Database 11g Release 2 Oracle 11g WebLogic server 11g Release 1 version 10.3.2 Oracle Web Tier Utilities 11g Oracle Solaris 10 9/10 Mercury LoadRunner 9.10 with Oracle Day in the Life kit for JD Edwards EnterpriseOne 9.0.1 Oracle’s Universal Batch Engine - Short UBEs and Long UBEs Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and other manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE workload of 15 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large UBEs, and the QPROCESS queue for short UBEs run concurrently. One of the Oracle Solaris Containers ran 4 Long UBEs, while another Container ran 15 short UBEs concurrently. The mixed size UBEs ran concurrently from the SPARC T3-1 server with the 5000 online users driven by the LoadRunner. Oracle’s UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers and two Oracle Fusion Middleware WebLogic Servers 11g R1 coupled with two Oracle Fusion Middleware 11g Web Tier HTTP Server instances on the SPARC T3-1 server were hosted in four separate Oracle Solaris Containers to demonstrate consolidation of multiple application and web servers. See Also SPARC T3-1 oracle.com SPARC Enterprise M3000 oracle.com Oracle Solaris oracle.com JD Edwards EnterpriseOne oracle.com Oracle Database 11g Release 2 Enterprise Edition oracle.com Disclosure Statement Copyright 2011, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 6/27/2011.

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  • The Social Business Thought Leaders - Ray Wang

    - by kellsey.ruppel
    It seems both consumers and businesses are at the peak of the social hype. Overwhelmed by social media channels, platforms, and processes both in their private and professional life, many early adopters are starting to feel the social fatigue. Mirroring what happened with email and web sites during the late 1990's - early 2000's, more and more managers are looking to move from ubiquitous social media tactics to the most appropriate business use case and processes. This step becomes even more important considering the year over year contraction in IT budgets and the consequent need to maximize return on every dollar spent in new technologies. Ray Wang, CEO and Principal Analyst at Constellation Research, suggests engagement through collaborative technologies both as a conceptual model and a transformational tool for enterprises to reap business value. Without participation - the reasoning goes - there is no value and good technology alone is not enough to guarantee employee and customer adoption. Enterprise gamification is a new lever to succeed with Social Business by directing a critical mass of participation towards desired outcomes. What kind of outcomes? A recent study from Constellation Research (see 2012 Q1 Gamification Early Adopters Best Practices) highlights how Marketing, Customer Service and HR are leading the pack with gamification in processes such as: Sustaining long term customer loyalty (76.4%) Improving response in campaign to lead (74.5%) Right channeling incidents for resolution in social media (67.3%) Growing the number service and support incidents resolved by the community (63.6%) Improving employee referral rates and effective recruiting (43.6%) Driving on-boarding success with new hires (20%) More than simply adding badges, points and leaderboards to existing processes, enterprise gamification should be holistically embedded into employee and customer experience to stimulate specific behaviors. According to Ray Wang this can be done at three core levels: Measurable actions. The behaviors we want to facilitate consist of granular actions (i.e likes, comments, posts, recommendations, etc) and more complex actions (i.e projects, initiatives, programmes) attributed to individuals, groups and/or external actors  Reputation. The reputation an individual has earned through his actions is a key factor in building motivation among others and it is determined by its identity, social standing status and competitiveness Incentives or the intrinsic and extrinsic rewards that motivate behaviors and drive actions Listen to Ray Wang's video-interview to learn more about the dynamics that are shaping the future of collaboration and how gamification can help organizations attain new levels of engagement.

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  • Lubuntu: neither shut-down nor restart works

    - by Rantanplan
    aI have a freshly installed Lubuntu 14.04.1 (installed with forcepae option on a laptop with Pentium M processor). The only problem that I have found so far is that I cannot shut-down or restart the laptop. It always continues showing "Lubuntu" and some dots. Pressing Esc it says wait-for-state stop/waiting * Stopping rsync daemon rsync [OK] * Asking all remaining processes to terminate… [OK] * Killing all remaining processes… [fail] ModemManager [597] : <info> Caught signal, shutting down… ModemManager [597] : <info> ModemManager is shut down nm-dispatcher.action: Could not get the system bus. Make sure the message bus daemon is running! Message: Did not receive a reply. Possible causes: the remote application did not send a reply, the message bus security policy blocked the reply, the reply timeout expired, or the network connection was broken. * Deactivating swap… [OK] * Will now halt The cursor remains blinking but the only way to switch it off is to hold the power-off key pressed for some seconds. I tried sudo shutdown -h now, sudo halt and sudo poweroff resulting in the same problem. I also tried to add acpi=force in GRUB_CMDLINE_LINUX_DEFAULT="quiet splash" in /etc/default/grub and run sudo update-grub; then, using the taskbar's shot-down button lead to a direct stop of the laptop equal to holding the power-off key pressed for some seconds. Next I followed the answer http://askubuntu.com/a/202481/288322. Now, I directly receive some messages during shut-down starting wait-for-state stop/waiting * Stopping rsync daemon rsync [OK] * Asking all remaining processes to terminate… [OK] [ 240.944277] INFO: task kworker/0:2:24: block for more than 120 seconds. [ 240.944461] Tainted: G S 3.13.0-34-generic #60-Ubuntu [ 240.944623] "echo 0 > /proc/sys/kernel/hung_tasks_timeout_secs" disables this message. followed by some more similar lines and then: * Killing all remaining processes… [fail] ModemManager [576] : <info> Caught signal, shutting down… nm-dispatcher.action: Caught signal 15, shutting down... ModemManager [576] : <info> ModemManager is shut down * Deactivating swap… [OK] * Will now halt [ 600.944276] INFO: task kworker/0:2:24: block for more than 120 seconds. [ 600.944458] Tainted: G S 3.13.0-34-generic #60-Ubuntu [ 600.944619] "echo 0 > /proc/sys/kernel/hung_tasks_timeout_secs" disables this message. Then, nothing more was coming during the next 5 minutes. If you know where can I find relevant error information, I will be happy to search for them.

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  • Checking who is connected to your server, with PowerShell.

    - by Fatherjack
    There are many occasions when, as a DBA, you want to see who is connected to your SQL Server, along with how they are connecting and what sort of activities they are carrying out. I’m going to look at a couple of ways of getting this information and compare the effort required and the results achieved of each. SQL Server comes with a couple of stored procedures to help with this sort of task – sp_who and its undocumented counterpart sp_who2. There is also the pumped up version of these called sp_whoisactive, written by Adam Machanic which does way more than these procedures. I wholly recommend you try it out if you don’t already know how it works. When it comes to serious interrogation of your SQL Server activity then it is absolutely indispensable. Anyway, back to the point of this blog, we are going to look at getting the information from sp_who2 for a remote server. I wrote this Powershell script a week or so ago and was quietly happy with it for a while. I’m relatively new to Powershell so forgive both my rather low threshold for entertainment and the fact that something so simple is a moderate achievement for me. $Server = 'SERVERNAME' $SMOServer = New-Object Microsoft.SQLServer.Management.SMO.Server $Server # connection and query stuff         $ConnectionStr = "Server=$Server;Database=Master;Integrated Security=True" $Query = "EXEC sp_who2" $Connection = new-object system.Data.SQLClient.SQLConnection $Table = new-object "System.Data.DataTable" $Connection.connectionstring = $ConnectionStr try{ $Connection.open() $Command = $Connection.CreateCommand() $Command.commandtext = $Query $result = $Command.ExecuteReader() $Table.Load($result) } catch{ # Show error $error[0] | format-list -Force } $Title = "Data access processes (" + $Table.Rows.Count + ")" $Table | Out-GridView -Title $Title $Connection.close() So this is pretty straightforward, create an SMO object that represents our chosen server, define a connection to the database and a table object for the results when we get them, execute our query over the connection, load the results into our table object and then, if everything is error free display these results to the PowerShell grid viewer. The query simply gets the results of ‘EXEC sp_who2′ for us. Depending on how many connections there are will influence how long the query runs. The grid viewer lets me sort and search the results so it can be a pretty handy way to locate troublesome connections. Like I say, I was quite pleased with this, it seems a pretty simple script and was working well for me, I have added a few parameters to control the output and give me more specific details but then I see a script that uses the $SMOServer object itself to provide the process information and saves having to define the connection object and query specifications. $Server = 'SERVERNAME' $SMOServer = New-Object Microsoft.SQLServer.Management.SMO.Server $Server $Processes = $SMOServer.EnumProcesses() $Title = "SMO processes (" + $Processes.Rows.Count + ")" $Processes | Out-GridView -Title $Title Create the SMO object of our server and then call the EnumProcesses method to get all the process information from the server. Staggeringly simple! The results are a little different though. Some columns are the same and we can see the same basic information so my first thought was to which runs faster – so that I can get my results more quickly and also so that I place less stress on my server(s). PowerShell comes with a great way of testing this – the Measure-Command function. All you have to do is wrap your piece of code in Measure-Command {[your code here]} and it will spit out the time taken to execute the code. So, I placed both of the above methods of getting SQL Server process connections in two Measure-Command wrappers and pressed F5! The Powershell console goes blank for a while as the code is executed internally when Measure-Command is used but the grid viewer windows appear and the console shows this. You can take the output from Measure-Command and format it for easier reading but in a simple comparison like this we can simply cross refer the TotalMilliseconds values from the two result sets to see how the two methods performed. The query execution method (running EXEC sp_who2 ) is the first set of timings and the SMO EnumProcesses is the second. I have run these on a variety of servers and while the results vary from execution to execution I have never seen the SMO version slower than the other. The difference has varied and the time for both has ranged from sub-second as we see above to almost 5 seconds on other systems. This difference, I would suggest is partly due to the cost overhead of having to construct the data connection and so on where as the SMO EnumProcesses method has the connection to the server already in place and just needs to call back the process information. There is also the difference in the data sets to consider. Let’s take a look at what we get and where the two methods differ Query execution method (sp_who2) SMO EnumProcesses Description - Urn What looks like an XML or JSON representation of the server name and the process ID SPID Spid The process ID Status Status The status of the process Login Login The login name of the user executing the command HostName Host The name of the computer where the  process originated BlkBy BlockingSpid The SPID of a process that is blocking this one DBName Database The database that this process is connected to Command Command The type of command that is executing CPUTime Cpu The CPU activity related to this process DiskIO - The Disk IO activity related to this process LastBatch - The time the last batch was executed from this process. ProgramName Program The application that is facilitating the process connection to the SQL Server. SPID1 - In my experience this is always the same value as SPID. REQUESTID - In my experience this is always 0 - Name In my experience this is always the same value as SPID and so could be seen as analogous to SPID1 from sp_who2 - MemUsage An indication of the memory used by this process but I don’t know what it is measured in (bytes, Kb, Mb…) - IsSystem True or False depending on whether the process is internal to the SQL Server instance or has been created by an external connection requesting data. - ExecutionContextID In my experience this is always 0 so could be analogous to REQUESTID from sp_who2. Please note, these are my own very brief descriptions of these columns, detail can be found from MSDN for columns in the sp_who results here http://msdn.microsoft.com/en-GB/library/ms174313.aspx. Where the columns are common then I would use that description, in other cases then the information returned is purely for interpretation by the reader. Rather annoyingly both result sets have useful information that the other doesn’t. sp_who2 returns Disk IO and LastBatch information which is really useful but the SMO processes method give you IsSystem and MemUsage which have their place in fault diagnosis methods too. So which is better? On reflection I think I prefer to use the sp_who2 method primarily but knowing that the SMO Enumprocesses method is there when I need it is really useful and I’m sure I’ll use it regularly. I’m OK with the fact that it is the slower method because Measure-Command has shown me how close it is to the other option and that it really isn’t a large enough margin to matter.

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  • Parallel MSBuild FTW - Build faster in parallel

    - by deadlydog
    Hey everyone, I just discovered this great post yesterday that shows how to have msbuild build projects in parallel Basically all you need to do is pass the switches “/m:[NumOfCPUsToUse] /p:BuildInParallel=true” into MSBuild. Example to use 4 cores/processes (If you just pass in “/m” it will use all CPU cores): MSBuild /m:4 /p:BuildInParallel=true "C:\dev\Client.sln" Obviously this trick will only be useful on PCs with multi-core CPUs (which we should all have by now) and solutions with multiple projects; So there’s no point using it for solutions that only contain one project.  Also, testing shows that using multiple processes does not speed up Team Foundation Database deployments either in case you’re curious Also, I found that if I didn’t explicitly use “/p:BuildInParallel=true” I would get many build errors (even though the MSDN documentation says that it is true by default). The poster boasts compile time improvements up to 59%, but the performance boost you see will vary depending on the solution and its project dependencies.  I tested with building a solution at my office, and here are my results (runs are in seconds): # of Processes 1st Run 2nd Run 3rd Run Avg Performance 1 192 195 200 195.67 100% 2 155 156 156 155.67 79.56% 4 146 149 146 147.00 75.13% 8 136 136 138 136.67 69.85%   So I updated all of our build scripts to build using 2 cores (~20% speed boost), since that gives us the biggest bang for our buck on our solution without bogging down a machine, and developers may sometimes compile more than 1 solution at a time.  I’ve put the any-PC-safe batch script code at the bottom of this post. The poster also has a follow-up post showing how to add a button and keyboard shortcut to the Visual Studio IDE to have VS build in parallel as well (so you don’t have to use a build script); if you do this make sure you use the .Net 4.0 MSBuild, not the 3.5 one that he shows in the screenshot.  While this did work for me, I found it left an MSBuild.exe process always hanging around afterwards for some reason, so watch out (batch file doesn’t have this problem though).  Also, you do get build output, but it may not be the same that you’re used to, and it doesn’t say “Build succeeded” in the status bar when completed, so I chose to not make this my default Visual Studio build option, but you may still want to. Happy building! ------------------------------------------------------------------------------------- :: Calculate how many Processes to use to do the build. SET NumberOfProcessesToUseForBuild=1  SET BuildInParallel=false if %NUMBER_OF_PROCESSORS% GTR 2 (                 SET NumberOfProcessesToUseForBuild=2                 SET BuildInParallel=true ) MSBuild /maxcpucount:%NumberOfProcessesToUseForBuild% /p:BuildInParallel=%BuildInParallel% "C:\dev\Client.sln"

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  • Lifecycle Technology Delivers AutoVue Visualization Integration for SAP

    Lifecycle Technology is an Oracle development partner and has built a Connector for Oracle's AutoVue visualization solution and SAP. Their area of expertise lies in integrating AutoVue visualization and printing solutions with SAP business processes within Asset Lifecycle Management,Product Lifecycle Management,and Document Management Systems. Lifecycle visually enables a variety of SAP workflows and processes in manufacturing,plant maintenance,and production. Their solutions allow SAP enterprise customers to view technical or engineering documents in the appropriate business context and/or print them as required in their workflows, improving productivity and decision making.

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  • Simple rendering produces minor stutter

    - by Ben
    For some reason, this game loop renders the movement of a simple rectangle with no stuttering. double currTime; double prevTime = System.nanoTime() / NANO_TO_SEC; double FPSTIMER = System.nanoTime(); double maxTimeDiff = 100.0 / 1000.0; double delta = 1.0 / 60.0; int processes = 0, frames = 0; while(true){ currTime = System.nanoTime() / NANO_TO_SEC; if(currTime - prevTime > maxTimeDiff) prevTime = currTime; if(currTime >= prevTime){ process(); processes++; prevTime += delta; if(currTime < prevTime){ render(); frames++; } } else{ try{ Thread.sleep((long) (1000 * (prevTime - currTime))); } catch(Exception e){} } if(System.nanoTime() - FPSTIMER > 1000000000.0){ System.out.println("Process: " + (1000 / processes) + "ms FPS: " + (1000 / frames) + "ms"); processes = frames = 0; FPSTIMER += 1000000000.0; } } But for this game loop, I get really minor stuttering where the movement does not look smooth. long prevTime = System.currentTimeMillis(); long prevRenderTime = 0; long currRenderTime = 0; long delta = 0; long msPerTick = 1000 / 60; int frames = 0; int ticks = 0; double FPSTIMER = System.currentTimeMillis(); while (true){ long currTime = System.currentTimeMillis(); delta += (currTime - prevTime) / msPerTick; prevTime = currTime; while (delta >= 1){ ticks++; process(); delta -= 1; } prevRenderTime = System.currentTimeMillis(); render(); frames++; currRenderTime = System.currentTimeMillis(); try{ Thread.sleep((long) ((1000 / FPS) - (currRenderTime - prevRenderTime))); } catch(Exception e){} if(System.currentTimeMillis() - FPSTIMER > 1000.0){ System.out.println("Process: " + (1000.0 / ticks) + "ms FPS: " + (1000.0 / frames) + "ms"); ticks = frames = 0; FPSTIMER += 1000.0; } Is there any critical difference that I'm missing here? The one thing I noticed is that if I uncap the fps for the second game loop, the stuttering goes away. It doesn't make sense to me. Also, the second game loop came from Notch's Minicraft code with just my thread sleeping code added in.

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  • Monitoring C++ applications

    - by Scott A
    We're implementing a new centralized monitoring solution (Zenoss). Incorporating servers, networking, and Java programs is straightforward with SNMP and JMX. The question, however, is what are the best practices for monitoring and managing custom C++ applications in large, heterogenous (Solaris x86, RHEL Linux, Windows) environments? Possibilities I see are: Net SNMP Advantages single, central daemon on each server well-known standard easy integration into monitoring solutions we run Net SNMP daemons on our servers already Disadvantages: complex implementation (MIBs, Net SNMP library) new technology to introduce for the C++ developers rsyslog Advantages single, central daemon on each server well-known standard unknown integration into monitoring solutions (I know they can do alerts based on text, but how well would it work for sending telemetry like memory usage, queue depths, thread capacity, etc) simple implementation Disadvantages: possible integration issues somewhat new technology for C++ developers possible porting issues if we switch monitoring vendors probably involves coming up with an ad-hoc communication protocol (or using RFC5424 structured data; I don't know if Zenoss supports that without custom Zenpack coding) Embedded JMX (embed a JVM and use JNI) Advantages consistent management interface for both Java and C++ well-known standard easy integration into monitoring solutions somewhat simple implementation (we already do this today for other purposes) Disadvantages: complexity (JNI, thunking layer between native C++ and Java, basically writing the management code twice) possible stability problems requires a JVM in each process, using considerably more memory JMX is new technology for C++ developers each process has it's own JMX port (we run a lot of processes on each machine) Local JMX daemon, processes connect to it Advantages single, central daemon on each server consistent management interface for both Java and C++ well-known standard easy integration into monitoring solutions Disadvantages: complexity (basically writing the management code twice) need to find or write such a daemon need a protocol between the JMX daemon and the C++ process JMX is new technology for C++ developers CodeMesh JunC++ion Advantages consistent management interface for both Java and C++ well-known standard easy integration into monitoring solutions single, central daemon on each server when run in shared JVM mode somewhat simple implementation (requires code generation) Disadvantages: complexity (code generation, requires a GUI and several rounds of tweaking to produce the proxied code) possible JNI stability problems requires a JVM in each process, using considerably more memory (in embedded mode) Does not support Solaris x86 (deal breaker) Even if it did support Solaris x86, there are possible compiler compatibility issues (we use an odd combination of STLPort and Forte on Solaris each process has it's own JMX port when run in embedded mode (we run a lot of processes on each machine) possibly precludes a shared JMX server for non-C++ processes (?) Is there some reasonably standardized, simple solution I'm missing? Given no other reasonable solutions, which of these solutions is typically used for custom C++ programs? My gut feel is that Net SNMP is how people do this, but I'd like other's input and experience before I make a decision.

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  • What is the value of an Enterprise Resource Planning (ERP) System?

    According to PWC.com ERP systems can add tremendous value to a company’s core business functionality.  Below PWC.com summarizes the primary value that an ERP can add to a company. ERPs are a collection business application that coordinates the resources, information, and activities required for core business processes. ERPs are strategic tools used to reduce costs, improve business processes, and healthier risk management.

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  • How to Research Keywords - 3 Truths the Gurus Withheld

    Turns out the first valuable lesson I picked up on how to research keywords was the fact that information overload is the fastest way to kill your dreams when it comes to doing anything in your life, especially anything involving your business. Please, please don't make the mistakes that I have! There aren't any science or complex formulas there is simply processes that work if you work the processes.

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  • Ubuntu 12.04 partial freeze

    - by user1550594
    While working on the system suddenly if i open a random file or start browsing and on other random moments the system starts hanging or start responding slowly. In this situation, i can able to open the virtual console using the Ctrl + Alt + F1-F6 and type the top and list the processes. Due to urgency, i will kill the long running processes or the over memory utilizing process to recover the screen back. Can anyone give me a permanent fix.!

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  • Introduction to Agile Development

    - by Grant Fritchey
    Even though my current job is a little weird, I still consider myself to be a DBA. I didn’t start that way in IT. I came through support and into development. I loved development. There was a constant struggle to attempt to improve your code, your understanding, and, most importantly, the process of development itself. Development can be slow and tedious. Left alone, developers can simply disappear to build a project and not come back for two years, at which time they deliver it. But, maybe that software isn’t what you wanted, or it’s no longer needed, or who knows what. So developers are constantly attempting to improve their processes in order to deliver more relavent software quicker (something DBAs could learn about). I really admire it. One of the many processes that has come out of that constant striving is known as Agile. As the name implies, Agile development attempts to come up with a quick, fast turning, business aware, well, for want of a word, agile, process that is more responsive to the needs of the business. There are tons and tons of books and blogs and videos on the subject that can get you going. But, Agile isn’t easy (note, Easy is not part of the name). Agile processes can be hard. I’ve worked on multiple agile teams, some successful, some not. The two principal differences between the teams were their discipline and their knowledge of the process. Discipline, that comes from within. But knowledge, ah, well there I can help. Red Gate is bringing a series of free instructional events to the United States in a few weeks time focused primarily on SQL Server (click here right now to register while there’s still space). We’re also offering some .NET instruction too. That’s a full day, free, with top experts in the business. But, the next day, there’s a full day session introducing Agile. You can go to this and learn how to do Agile. Develop that knowledge that will enable you to successfully use the Agile process. Go to this web site to check it out. No, this event is not free, but not everything can be. And it’s not just for developers. DBAs, you need to learn this stuff too. Management could also benefit from understanding these processes (because you guys can help to enforce discipline). It’s really for everyone involved in the development process.

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  • Windows Azure Roles stuck in &lsquo;initializing&rsquo;, &rsquo;busy&rsquo;

    - by kaleidoscope
    Technorati Tags: windows azure,roles,stuck,initializing,busy,stopping,tinu If you have worked on Windows Azure you are bound to have faced this gnawing and dreaded issue – Your Web/Worker role goes from ‘initializing’ to ‘busy’ to ‘stopping’ but refuses to get ‘ready’. For those of us who have resorted to merciless desktop vandalism over this, there is still hope. In his post MSFT’s Toddy Mladenov summarizes few plausible reasons for this - 1. Missing runtime dependencies (DLLs) 2. Incorrect platform version of a DLL 3. Incorrect DiagnosticsConnectionString/DataConnectionString 4. Queues/Tables being read during initialization do not exist. 5. Certificate without exportable private key. 6. Returning from Run Method in Worker Role. For a more detailed and precise account visit his post: http://blog.toddysm.com/2010/01/windows-azure-deployment-stuck-in-initializing-busy-stopping-why.html - Tinu, O

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  • Cannot install any software from the Software Center due to ttf-mscorefonts-installer package error

    - by Dei
    When I try to install any software from ubuntu software center it comes with error: An unhandled error occured There seems to be a programming error in aptdaemon. This is the software that allows you to install/remove software and to perform other package management related tasks. details Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/aptdaemon/worker.py", line 961, in simulate trans.unauthenticated = self._simulate_helper(trans) File "/usr/lib/python2.7/dist-packages/aptdaemon/worker.py", line 1085, in _simulate_helper return depends, self._cache.required_download, \ File "/usr/lib/python2.7/dist-packages/apt/cache.py", line 226, in required_download pm.get_archives(fetcher, self._list, self._records) SystemError: E:I wasn't able to locate file for the ttf-mscorefonts-installer package. This might mean you need to manually fix this package. Please help me!

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  • Local Events | Azure Bootcamp

    - by Jeff Julian
    Coming to Kansas City April 8th and 9th is the Microsoft Azure Bootcamp. This event looks very promising for those developers who are looking into Azure for themselves or their companies. It covers the wide range of topics required to understand what Azure really is and is not. Space is limited so if you are considering Azure, register for this event today.Agenda:Module 1: Introduction to cloud computer and AzureHow it worksKey ScenariosThe development environment and SDKModule 2: Using Web RolesBasic ASP.NETBasic configurationModule 3: Blobs: File Storage in the cloudModule 4: Tables: Scalable hierarchical storageModule 5: Queues: Decoupling your systemsModule 6: Basic Worker RolesExecuting backend processesConsuming a queueLeveraging local storageModule 7: Advanced Worker RolesExternal EndpointsInter-role communicationModule 8: Building a business with AzureUsing Azure as an ISV or a partnerAdvantages to delivering valueBPOSPricingModule 9: SQL AzureSetting it upSQL Azure firewallRemote managementMigrating dataModule 10: AppFabricService BusAccess Control SystemIdentity in the cloudModule 11: Cloud ScenariosApp migration strategiesDisposable computingDynamic scaleShuntingPrototypingMultitenant applications (This is my second attempt at this post after MacJournal decided to crash and not save my work. Authoring tools all need auto-save features by now, that is a requirement set in stone by Microsoft Word 97) Related Tags: Azure, Microsoft, Kansas City

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  • Windows Azure Recipe: High Performance Computing

    - by Clint Edmonson
    One of the most attractive ways to use a cloud platform is for parallel processing. Commonly known as high-performance computing (HPC), this approach relies on executing code on many machines at the same time. On Windows Azure, this means running many role instances simultaneously, all working in parallel to solve some problem. Doing this requires some way to schedule applications, which means distributing their work across these instances. To allow this, Windows Azure provides the HPC Scheduler. This service can work with HPC applications built to use the industry-standard Message Passing Interface (MPI). Software that does finite element analysis, such as car crash simulations, is one example of this type of application, and there are many others. The HPC Scheduler can also be used with so-called embarrassingly parallel applications, such as Monte Carlo simulations. Whatever problem is addressed, the value this component provides is the same: It handles the complex problem of scheduling parallel computing work across many Windows Azure worker role instances. Drivers Elastic compute and storage resources Cost avoidance Solution Here’s a sketch of a solution using our Windows Azure HPC SDK: Ingredients Web Role – this hosts a HPC scheduler web portal to allow web based job submission and management. It also exposes an HTTP web service API to allow other tools (including Visual Studio) to post jobs as well. Worker Role – typically multiple worker roles are enlisted, including at least one head node that schedules jobs to be run among the remaining compute nodes. Database – stores state information about the job queue and resource configuration for the solution. Blobs, Tables, Queues, Caching (optional) – many parallel algorithms persist intermediate and/or permanent data as a result of their processing. These fast, highly reliable, parallelizable storage options are all available to all the jobs being processed. Training Here is a link to online Windows Azure training labs where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure HPC Scheduler (3 labs)  The Windows Azure HPC Scheduler includes modules and features that enable you to launch and manage high-performance computing (HPC) applications and other parallel workloads within a Windows Azure service. The scheduler supports parallel computational tasks such as parametric sweeps, Message Passing Interface (MPI) processes, and service-oriented architecture (SOA) requests across your computing resources in Windows Azure. With the Windows Azure HPC Scheduler SDK, developers can create Windows Azure deployments that support scalable, compute-intensive, parallel applications. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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  • Polite busy-waiting with WRPAUSE on SPARC

    - by Dave
    Unbounded busy-waiting is an poor idea for user-space code, so we typically use spin-then-block strategies when, say, waiting for a lock to be released or some other event. If we're going to spin, even briefly, then we'd prefer to do so in a manner that minimizes performance degradation for other sibling logical processors ("strands") that share compute resources. We want to spin politely and refrain from impeding the progress and performance of other threads — ostensibly doing useful work and making progress — that run on the same core. On a SPARC T4, for instance, 8 strands will share a core, and that core has its own L1 cache and 2 pipelines. On x86 we have the PAUSE instruction, which, naively, can be thought of as a hardware "yield" operator which temporarily surrenders compute resources to threads on sibling strands. Of course this helps avoid intra-core performance interference. On the SPARC T2 our preferred busy-waiting idiom was "RD %CCR,%G0" which is a high-latency no-nop. The T4 provides a dedicated and extremely useful WRPAUSE instruction. The processor architecture manuals are the authoritative source, but briefly, WRPAUSE writes a cycle count into the the PAUSE register, which is ASR27. Barring interrupts, the processor then delays for the requested period. There's no need for the operating system to save the PAUSE register over context switches as it always resets to 0 on traps. Digressing briefly, if you use unbounded spinning then ultimately the kernel will preempt and deschedule your thread if there are other ready threads than are starving. But by using a spin-then-block strategy we can allow other ready threads to run without resorting to involuntary time-slicing, which operates on a long-ish time scale. Generally, that makes your application more responsive. In addition, by blocking voluntarily we give the operating system far more latitude regarding power management. Finally, I should note that while we have OS-level facilities like sched_yield() at our disposal, yielding almost never does what you'd want or naively expect. Returning to WRPAUSE, it's natural to ask how well it works. To help answer that question I wrote a very simple C/pthreads benchmark that launches 8 concurrent threads and binds those threads to processors 0..7. The processors are numbered geographically on the T4, so those threads will all be running on just one core. Unlike the SPARC T2, where logical CPUs 0,1,2 and 3 were assigned to the first pipeline, and CPUs 4,5,6 and 7 were assigned to the 2nd, there's no fixed mapping between CPUs and pipelines in the T4. And in some circumstances when the other 7 logical processors are idling quietly, it's possible for the remaining logical processor to leverage both pipelines. Some number T of the threads will iterate in a tight loop advancing a simple Marsaglia xor-shift pseudo-random number generator. T is a command-line argument. The main thread loops, reporting the aggregate number of PRNG steps performed collectively by those T threads in the last 10 second measurement interval. The other threads (there are 8-T of these) run in a loop busy-waiting concurrently with the T threads. We vary T between 1 and 8 threads, and report on various busy-waiting idioms. The values in the table are the aggregate number of PRNG steps completed by the set of T threads. The unit is millions of iterations per 10 seconds. For the "PRNG step" busy-waiting mode, the busy-waiting threads execute exactly the same code as the T worker threads. We can easily compute the average rate of progress for individual worker threads by dividing the aggregate score by the number of worker threads T. I should note that the PRNG steps are extremely cycle-heavy and access almost no memory, so arguably this microbenchmark is not as representative of "normal" code as it could be. And for the purposes of comparison I included a row in the table that reflects a waiting policy where the waiting threads call poll(NULL,0,1000) and block in the kernel. Obviously this isn't busy-waiting, but the data is interesting for reference. _table { border:2px black dotted; margin: auto; width: auto; } _tr { border: 2px red dashed; } _td { border: 1px green solid; } _table { border:2px black dotted; margin: auto; width: auto; } _tr { border: 2px red dashed; } td { background-color : #E0E0E0 ; text-align : right ; } th { text-align : left ; } td { background-color : #E0E0E0 ; text-align : right ; } th { text-align : left ; } Aggregate progress T = #worker threads Wait Mechanism for 8-T threadsT=1T=2T=3T=4T=5T=6T=7T=8 Park thread in poll() 32653347334833483348334833483348 no-op 415 831 124316482060249729303349 RD %ccr,%g0 "pause" 14262429269228623013316232553349 PRNG step 412 829 124616702092251029303348 WRPause(8000) 32443361333133483349334833483348 WRPause(4000) 32153308331533223347334833473348 WRPause(1000) 30853199322432513310334833483348 WRPause(500) 29173070315032223270330933483348 WRPause(250) 26942864294930773205338833483348 WRPause(100) 21552469262227902911321433303348

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  • Windows Azure RoleEntryPoint Method Call Order

    - by kaleidoscope
    Worker Role Call Order: WaWorkerHost process is started. Worker Role assembly is loaded and surfed for a class that derives from RoleEntryPoint.  This class is instantiated. RoleEntryPoint.OnStart() is called. RoleEntryPoint.Run() is called.  If the RoleEntryPoint.Run() method exits, the RoleEntryPoint.OnStop() method is called . WaWorkerHost process is stopped. The role will recycle and startup again. Web Role Call Order: WaWebHost process is started. Hostable Web Core is activated. Web role assembly is loaded and RoleEntryPoint.OnStart() is called. Global.Application_Start() is called. The web application runs Global.Application_End() is called. RoleEntryPoint.OnStop() is called. Hostable Web Core is deactivated. WaWebHost process is stopped. For Further Reference: http://blogs.msdn.com/jnak/archive/2010/02/11/windows-azure-roleentrypoint-method-call-order.aspx   Tinu, O

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  • What's the difference between 'killall' and 'pkill'?

    - by jgbelacqua
    After using just plain kill <some_pid> on Unix systems for many years, I learned pkill from a younger Linux-savvy co-worker colleague1. I soon accepted the Linux-way, pgrep-ing and pkill-ing through many days and nights, through slow-downs and race conditions. This was all well and good. But now I see nothing but killall . How-to's seem to only mention killall, and I'm not sure if this is some kind of parallel development, or if killall is a successor to pkill, or something else. It seems to function as more targeted pkill, but I'm sure I'm missing something. Can an Ubuntu/Debian-savvy person explain when (or why) killall should be used, especially if it should be used in preference to pkill (when pkill often seems easier, because I can be sloppier with name matching, at least by default). 1 'colleague' is free upgrade from 'co-worker', so might as well.

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  • Apt-Daemon problem due to a broken sun-java6-jre package

    - by Marv
    I am having problems with installation with everything in the software center. Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/aptdaemon/worker.py", line 968, in simulate trans.unauthenticated = self._simulate_helper(trans) File "/usr/lib/python2.7/dist-packages/aptdaemon/worker.py", line 1092, in _simulate_helper return depends, self._cache.required_download, \ File "/usr/lib/python2.7/dist-packages/apt/cache.py", line 235, in required_download pm.get_archives(fetcher, self._list, self._records) SystemError: E:I wasn't able to locate a file for the sun-java6-jre package. This might mean you need to manually fix this package. Help?

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