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  • Create and Track Your Own License Keys with PowerShell

    - by BuckWoody
    SQL Server used to have  cool little tool that would let you track your licenses. Microsoft didn’t use it to limit your system or anything, it was just a place on the server where you could put that this system used this license key. I miss those days – we don’t track that any more, and I want to make sure I’m up to date on my licensing, so I made my own. Now, there are a LOT of ways you could do this. You could add an extended property in SQL Server, add a table to a tracking database, use a text file, track it somewhere else, whatever. This is just the route I chose; if you want to use some other method, feel free. Just sharing here. Warning Serious problems might occur if you modify the registry incorrectly by using Registry Editor or by using another method. These problems might require that you reinstall the operating system. Microsoft cannot guarantee that these problems can be solved. Modify the registry at your own risk. And this is REALLY important. I include a disclaimer at the end of my scripts, but in this case you’re modifying your registry, and that could be EXTREMELY dangerous – only do this on a test server – and I’m just showing you how I did mine. It isn’t an endorsement or anything like that, and this is a “Buck Woody” thing, NOT a Microsoft thing. See this link first, and then you can read on. OK, here’s my script: # Track your own licenses # Write a New Key to be the License Location mkdir HKCU:\SOFTWARE\Buck   # Write the variables - one sets the type, the other sets the number, and the last one holds the key New-ItemProperty HKCU:\SOFTWARE\Buck -name "SQLServerLicenseType" -value "Processor" # Notice the Dword value here - this one is a number so it needs that. Keep this on one line! New-ItemProperty HKCU:\SOFTWARE\Buck -name "SQLServerLicenseNumber" -propertytype DWord -value 4 New-ItemProperty HKCU:\SOFTWARE\Buck -name "SQLServerLicenseKey" -value "ABCD1234"   # Read them all $LicenseKey = Get-Item HKCU:\Software\Buck $Licenses = Get-ItemProperty $LicenseKey.PSPath foreach ($License in $LicenseKey.Property) { $License + "=" + $Licenses.$License }   Script Disclaimer, for people who need to be told this sort of thing: Never trust any script, including those that you find here, until you understand exactly what it does and how it will act on your systems. Always check the script on a test system or Virtual Machine, not a production system. Yes, there are always multiple ways to do things, and this script may not work in every situation, for everything. It’s just a script, people. All scripts on this site are performed by a professional stunt driver on a closed course. Your mileage may vary. Void where prohibited. Offer good for a limited time only. Keep out of reach of small children. Do not operate heavy machinery while using this script. If you experience blurry vision, indigestion or diarrhea during the operation of this script, see a physician immediately. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Framework 4 Features: Login Id Support

    - by Anthony Shorten
    Given that Oracle Utilities Application Framework 4 is available as part of Mobile Work Force Management and other product progressively I am preparing a number of short but sweet blog entries highlighting some of the new functionality that has been implemented. This is the first entry and it is on a new security feature called Login Id. In past releases of the Oracle Utilities Application Framework, the userid used for authentication and authorization was limited to eight (8) characters in length. This mirrored what the market required in the past with LAN userids and even legacy userids being that length. The technology market has since progressed to longer userid lengths. It is very common to hear that email addresses are being used as credentials for production systems. To achieve this in past versions of the Oracle Utilities Application Framework, sites had to introduce a short userid (8 characters in length) as an alias in your preferred security store. You then configured your J2EE Web Application Server to use the alias as credentials. This sometimes was a standard feaure of the security store and/or the J2EE Web Application Server, if you were lucky. If not, some java code has to be written to implement the solution. In Oracle Utilities Application Framework 4 we introduced a new attribute on the user object called Login Id. The Login Id can be up to 256 characters in length and is an alternative to the existing userid stored on the user object. This means the Oracle Utilities Application Framework can support both long and short userids. For backward compatibility we use the Login Id for authentication but the short userid for authorization and auditing. The user object within the Oracle Utilities Application Framework holds the translation. Backward compatibility is always a consideration in any of our designs for future or changed functionality. You will see reference to this fact in the blog entries I will be composing over the next few months. We have also thought about the flexibility in implementing this feature. The Login Id can be the same value of the Userid (the default for backward compatibility) or can be different. Both the Login Id and Userid have to be unique. This avoids sharing of credentials and is also backward compatible. You can manually enter the Login Id or provision it from Oracle Identity Manager (or other tool). If you use the Login Id only, then we will not autogenerate a short userid automatically as the rules for this can vary from site to site. You have a number of options there. Most Identity provisioning tools can generate a short userid at user creation time and this can be used. If you do not use provisioning tools, then you can write a class extension using the SDK to autoegenerate the userid based upon your sites preference. When we designed the feature there were lots of styles of generating userids (random, initial and surname, numbers etc). We could not really see a clear winner in that respect so we just allowed the extension to be inserted in if necessary. Most customers indicated to us that identity provisioning was the preferred way. This is why we released an Oracle Identity Manager integration with the framework. The Login id is case sensitive now which was not supported under userid. The introduction of the Login Id allows the product to offer flexible options when configuring security whilst maintaining backward compatibility.

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  • Recent improvements in Console Performance

    - by loren.konkus
    Recently, the WebLogic Server development and support organizations have worked with a number of customers to quantify and improve the performance of the Administration Console in large, distributed configurations where there is significant latency in the communications between the administration server and managed servers. These improvements fall into two categories: Constraining the amount of time that the Console stalls waiting for communication Reducing and streamlining the amount of data required for an update A few releases ago, we added support for a configurable domain-wide mbean "Invocation Timeout" value on the Console's configuration: general, advanced section for a domain. The default value for this setting is 0, which means wait indefinitely and was chosen for compatibility with the behavior of previous releases. This configuration setting applies to all mbean communications between the admin server and managed servers, and is the first line of defense against being blocked by a stalled or completely overloaded managed server. Each site should choose an appropriate timeout value for their environment and network latency. In the next release of WebLogic Server, we've added an additional console preference, "Management Operation Timeout", to the Console's shared preference page. This setting further constrains how long certain console pages will wait for slowly responding servers before returning partial results. While not all Console pages support this yet, key pages such as the Servers Configuration and Control table pages and the Deployments Control pages have been updated to support this. For example, if a user requests a Servers Table page and a Management Operation Timeout occurs, the table is displayed with both local configuration and remote runtime information from the responding managed servers and only local configuration information for servers that did not yet respond. This means that a troublesome managed server does not impede your ability to manage your domain using the Console. To support these changes, these Console pages have been re-written to use the Work Management feature of WebLogic Server to interact with each server or deployment concurrently, which further improves the responsiveness of these pages. The basic algorithm for these pages is: For each configuration mbean (ie, Servers) populate rows with configuration attributes from the fast, local mbean server Find a WorkManager For each server, Create a Work instance to obtain runtime mbean attributes for the server Schedule Work instance in the WorkManager Call WorkManager.waitForAll to wait WorkItems to finish, constrained by Management Operation Timeout For each WorkItem, if the runtime information obtained was not complete, add a message indicating which server has incomplete data Display collected data in table In addition to these changes to constrain how long the console waits for communication, a number of other changes have been made to reduce the amount and scope of managed server interactions for key pages. For example, in previous releases the Deployments Control table looked at the status of a deployment on every managed server, even those servers that the deployment was not currently targeted on. (This was done to handle an edge case where a deployment's target configuration was changed while it remained running on previously targeted servers.) We decided supporting that edge case did not warrant the performance impact for all, and instead only look at the status of a deployment on the servers it is targeted to. Comprehensive status continues to be available if a user clicks on the 'status' field for a deployment. Finally, changes have been made to the System Status portlet to reduce its impact on Console page display times. Obtaining health information for this display requires several mbean interactions with managed servers. In previous releases, this mbean interaction occurred with every display, and any delay or impediment in these interactions was reflected in the display time for every page. To reduce this impact, we've made several changes in this portlet: Using Work Management to obtain health concurrently Applying the operation timeout configuration to constrain how long we will wait Caching health information to reduce the cost during rapid navigation from page to page and only obtaining new health information if the previous information is over 30 seconds old. Eliminating heath collection if this portlet is minimized. Together, these Console changes have resulted in significant performance improvements for the customers with large configurations and high latency that we have worked with during their development, and some lesser performance improvements for those with small configurations and very fast networks. These changes will be included in the 11g Rel 1 patch set 2 (10.3.3.0) release of WebLogic Server.

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  • Resolve SRs Faster Using RDA - Find the Right Profile

    - by Daniel Mortimer
    Introduction Remote Diagnostic Agent (RDA) is an excellent command-line data collection tool that can aid troubleshooting / problem solving. The tool covers the majority of Oracle's vast product range, and its data collection capability is comprehensive. RDA collects data about the operating system and environment, including environment variable, kernel settings network o/s performance o/s patches and much more the Oracle Products installed, including patches logs and debug metrics configuration and much more In effect, RDA can obtain a snapshot of an Oracle Product and its environment. Oracle Support encourages the use of RDA because it greatly reduces service request resolution time by minimizing the number of requests from Oracle Support for more information. RDA is designed to be as unobtrusive as possible; it does not modify systems in any way. It collects useful data for Oracle Support only and a security filter is provided if required. Find and Use the Right RDA Profile One problem of any tool / utility, which covers a large range of products, is knowing how to target it against only the products you wish to troubleshoot. RDA does not have a GUI. Nor does RDA have an intelligent mechanism for detecting and automatically collecting data only for those Oracle products installed. Instead, you have to tell RDA what to do. There is a mind boggling large number of RDA data collection modules which you can configure RDA to use. It is easier, however, to setup RDA to use a "Profile". A profile consists of a list of data collection modules and predefined settings. As such profiles can be used to diagnose a problem with a particular product or combination of products. How to run RDA with a profile? ( <rda> represents the command you selected to run RDA (for example, rda.pl, rda.cmd, rda.sh, and perl rda.pl).) 1. Use the embedded spreadsheet to find the RDA profile which is appropriate for your problem / chosen Oracle Fusion Middleware products. 2. Use the following command to perform the setup <rda> -S -p <profile_name>  3. Run the data collection <rda> Run the data collection. If you want to perform setup and run in one go, then use a command such as the following: <rda> -vnSCRP -p <profile name> For more information, refer to: Remote Diagnostic Agent (RDA) 4 - Profile Manual Pages [ID 391983.1] Additional Hints / Tips: 1. Be careful! Profile names are case sensitive.2. When profiles are not used, RDA considers all existing modules by default. For example, if you have downloaded RDA for the first time and run the command <rda> -S you will see prompts for every RDA collection module many of which will be of no interest to you. Also, you may, in your haste to work through all the questions, forget to say "Yes" to the collection of data that is pertinent to your particular problem or product. Profiles avoid such tedium and help ensure the right data is collected at the first time of asking.

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  • JavaOne Latin America 2012 Trip Report

    - by reza_rahman
    JavaOne Latin America 2012 was held at the Transamerica Expo Center in Sao Paulo, Brazil on December 4-6. The conference was a resounding success with a great vibe, excellent technical content and numerous world class speakers. Some notable local and international speakers included Bruno Souza, Yara Senger, Mattias Karlsson, Vinicius Senger, Heather Vancura, Tori Wieldt, Arun Gupta, Jim Weaver, Stephen Chin, Simon Ritter and Henrik Stahl. Topics covered included the JCP/JUGs, Java SE 7, HTML 5/WebSocket, CDI, Java EE 6, Java EE 7, JSF 2.2, JMS 2, JAX-RS 2, Arquillian and JavaFX. Bruno Borges and I manned the GlassFish booth at the Java Pavilion on Tuesday and Webnesday. The booth traffic was decent and not too hectic. We met a number of GlassFish adopters including perhaps one of the largest GlassFish deployments in Brazil as well as some folks migrating to Java EE from Spring. We invited them to share their stories with us. We also talked with some key members of the local Java community. Tuesday evening we had the GlassFish party at the Tribeca Pub. The party was definitely a hit and we could have used a larger venue (this was the first time we had the GlassFish party in Brazil). Along with GlassFish enthusiasts, a number of Java community leaders were there. We met some of the same folks again at the JUG leader's party on Wednesday evening. On Thursday Arun Gupta, Bruno Borges and I ran a hands-on-lab on JAX-RS, WebSocket and Server-Sent Events (SSE) titled "Developing JAX-RS Web Applications Utilizing Server-Sent Events and WebSocket". This is the same Java EE 7 lab run at JavaOne San Francisco. The lab provides developers a first hand glipse of how an HTML 5 powered Java EE application might look like. We had an overflow crowd for the lab (at one point we had about twenty people standing) and the lab went very well. The slides for the lab are here: Developing JAX-RS Web Applications Utilizing Server-Sent Events and WebSocket from Reza Rahman The actual contents for the lab is available here. Give me a shout if you need help getting it up and running. I gave two solo talks following the lab. The first was on JMS 2 titled "What’s New in Java Message Service 2". This was essentially the same talk given by JMS 2 specification lead Nigel Deakin at JavaOne San Francisco. I talked about the JMS 2 simplified API, JMSContext injection, delivery delays, asynchronous send, JMS resource definition in Java EE 7, standardized configuration for JMS MDBs in EJB 3.2, mandatory JCA pluggability and the like. The session went very well, there was good Q & A and someone even told me this was the best session of the conference! The slides for the talk are here: What’s New in Java Message Service 2 from Reza Rahman My last talk for the conference was on JAX-RS 2 in the keynote hall. Titled "JAX-RS 2: New and Noteworthy in the RESTful Web Services API" this was basically the same talk given by the specification leads Santiago Pericas-Geertsen and Marek Potociar at JavaOne San Francisco. I talked about the JAX-RS 2 client API, asyncronous processing, filters/interceptors, hypermedia support, server-side content negotiation and the like. The talk went very well and I got a few very kind complements afterwards. The slides for the talk are here: JAX-RS 2: New and Noteworthy in the RESTful Web Services API from Reza Rahman On a more personal note, Sao Paulo has always had a special place in my heart as the incubating city for Sepultura and Soulfy -- two of my most favorite heavy metal musical groups of all time! Consequently, the city has a perpertually alive and kicking metal scene pretty much any given day of the week. This time I got to check out a solid performance by local metal gig Republica at the legendary Manifesto Bar. I also wanted to see a Dio Tribute at the Blackmore but ran out of time and energy... Overall I enjoyed the conference/Sao Paulo and look forward to going to Brazil again next year!

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  • June is going to be a busy month!

    - by Monica Kumar
    Who says things slow down in summer? Well, maybe for school kids, but certainly not for Oracle's Virtualization team! June is turning out to be one of the busiest months for us. We are going to be participating in a number of industry events. If you happen to be at any of these, please stop by the Oracle booth and our session/s. Let's go through a run down of these events. 1. 13th Annual Call Center Week June 4-8 Ceasar's Palace, Las Vegas  Event website You're now wondering...why are we at this call center show. It's really simple, Oracle's Desktop Virtualization solutions offer the best way for call center to reliably and securely access enterprise apps using a variety of endpoint devices such as an iPad or a Sun Ray Client. Provisioning new employees becomes a breeze. We'll be jointly showcasing our solution with Oracle's CRM team. Come check us out.  2. Gartner Infrastructure & Management, Florida June 5-7 Orlando, FL  Event website Oracle is a Premier sponsor of the Gartner IOM Summit this June 5 – 7, 2012 in Orlando, FL.  Attendees will have the opportunity to meet with Oracle experts in a variety of sessions, including demonstrations during the showcase receptions. 3. Cloud Expo East Check out our website for details of our participation. Stop by at booth 511 to talk to our Cloud, Virtualization and Big Data experts. In addition, we're delivering a number of sessions at Cloud Expo. The one I want to highlight is the following: Session: Borderless Applications in the Cloud with Oracle VM and Oracle Virtual Assembly Builder Abstract: As virtualization adoption progresses beyond server consolidation, this is also transforming how enterprise applications are deployed and managed in an agile environment. The traditional method of business-critical application deployment where administrators have to contend with an array of unrelated tools, custom scripts to deploy and manage applications, OS and VM instances into a fast changing cloud computing environment can no longer scale effectively to achieve response time and desired efficiency. Oracle VM and Oracle Virtual Assembly Builder allow applications, associated components, deployment metadata, management policies and best practices to be encapsulated into ready-to-run VMs for rapid, repeatable deployment and ease of management. Join us in this Cloud Expo session to see how Oracle VM and Oracle Virtual Assembly Builder allow you to deploy complex multi-tier applications in minutes and enables you to easily onboard existing applications to cloud environments.  Get your free Cloud Expo pass now!  We're offering complimentary VIP Gold Passes. Go to https://www.blueskyz.com/v3/Login.aspx?ClientID=19&EventID=56&sg=177, click “Continue” if you are a New User or log-in if you have already created an account. Once there, you can view the Agenda or Register for Cloud Expo. To register - fill out the basic business card questions and then enter oracleVIPgold in the Priority Code field to change the price from $2,000 to $0. 4. CiscoLive 2012  June 10-14 San Diego, CA Event website Our Oracle VM and Oracle Linux experts will talk about joint collaboration with Cisco on UCS. We'll also highlight customer use cases. 5. Gartner Infrastructure & Operations Management Summit, EMEA Dates: June 11-12 Frankfurt, Germany Event website Meet experts from our Virtualization and Linux team in EMEA. Stop by our booth and find out what's new in Oracle VM Server for x86 and Oracle Linux. June is going to be busy.

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  • Best Practices - Core allocation

    - by jsavit
    This post is one of a series of "best practices" notes for Oracle VM Server for SPARC (also called Logical Domains) Introduction SPARC T-series servers currently have up to 4 CPU sockets, each of which has up to 8 or (on SPARC T3) 16 CPU cores, while each CPU core has 8 threads, for a maximum of 512 dispatchable CPUs. The defining feature of Oracle VM Server for SPARC is that each domain is assigned CPU threads or cores for its exclusive use. This avoids the overhead of software-based time-slicing and emulation (or binary rewriting) of system state-changing privileged instructions used in traditional hypervisors. To create a domain, administrators specify either the number of CPU threads or cores that the domain will own, as well as its memory and I/O resources. When CPU resources are assigned at the individual thread level, the logical domains constraint manager attempts to assign threads from the same cores to a domain, and avoid "split core" situations where the same CPU core is used by multiple domains. Sometimes this is unavoidable, especially when domains are allocated and deallocated CPUs in small increments. Why split cores can matter Split core allocations can silenty reduce performance because multiple domains with different address spaces and memory contents are sharing the core's Level 1 cache (L1$). This is called false cache sharing since even identical memory addresses from different domains must point to different locations in RAM. The effect of this is increased contention for the cache, and higher memory latency for each domain using that core. The degree of performance impact can be widely variable. For applications with very small memory working sets, and with I/O bound or low-CPU utilization workloads, it may not matter at all: all machines wait for work at the same speed. If the domains have substantial workloads, or are critical to performance then this can have an important impact: This blog entry was inspired by a customer issue in which one CPU core was split among 3 domains, one of which was the control and service domain. The reported problem was increased I/O latency in guest domains, but the root cause might be higher latency servicing the I/O requests due to the control domain being slowed down. What to do about it Split core situations are easily avoided. In most cases the logical domain constraint manager will avoid it without any administrative action, but it can be entirely prevented by doing one of the several actions: Assign virtual CPUs in multiples of 8 - the number of threads per core. For example: ldm set-vcpu 8 mydomain or ldm add-vcpu 24 mydomain. Each domain will then be allocated on a core boundary. Use the whole core constraint when assigning CPU resources. This allocates CPUs in increments of entire cores instead of virtual CPU threads. The equivalent of the above commands would be ldm set-core 1 mydomain or ldm add-core 3 mydomain. Older syntax does the same thing by adding the -c flag to the add-vcpu, rm-vcpu and set-vcpu commands, but the new syntax is recommended. When whole core allocation is used an attempt to add cores to a domain fails if there aren't enough completely empty cores to satisfy the request. See https://blogs.oracle.com/sharakan/entry/oracle_vm_server_for_sparc4 for an excellent article on this topic by Eric Sharakan. Don't obsess: - if the workloads have minimal CPU requirements and don't need anywhere near a full CPU core, then don't worry about it. If you have low utilization workloads being consolidated from older machines onto a current T-series, then there's no need to worry about this or to assign an entire core to domains that will never use that much capacity. In any case, make sure the most important domains have their own CPU cores, in particular the control domain and any I/O or service domain, and of course any important guests. Summary Split core CPU allocation to domains can potentially have an impact on performance, but the logical domains manager tends to prevent this situation, and it can be completely and simply avoided by allocating virtual CPUs on core boundaries.

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  • Elo system behaves oddly in program I've created

    - by adc
    Alright, so I'm looking to build a small program (C# and XAML) that, essentially, does this: Generate array of players. Each player has a current rating and a true rating. I set current rating to 1200 as a starting point right now; I've also tried setting it to true rating and the average of the two. True rating is what their skill level actually is. Their true rating is calculated based on percentages from the current League of Legends rating system; generating an array of 970 thousand generates results very similar to the data from here: (removed due to URL limit - but trust me, the results are very similar). This array is of length specified by the user. If need be, sort the array from smallest to largest. Play X number of games, again specified by the user. This is done by taking the array of players (which is sorted by Current Rating after being created) and running through it in groups of 10. The first five are on team one, the second five are on team two. It then takes the True Rating of these players and calculates an expected chance to win using the Elo system. It generates a random double and compares it to the expected chance to win; if the number is lower, team one wins - otherwise team two wins. I then update the rating of the players via, again, the Elo system - giving the winning team a score of 1 and the losing team a score of 0. I use a K value of 36 (but have tried 12, 24, and even higher ones) and an F value of 400. After going through the entire loop of players (which I have conveniently forced to be a multiple of ten), it sorts the array - again via current rating. This, if my understanding of the Elo system is correct, runs properly. However, it doesn't seem to work. I have a running test telling me how many players of the full array are within 100 current rating of their true rating. I would expect some portion of the population to be outside this range (as probability is not always going to go in their favor), but a full 40-45% of the population is outside of this range. I also have it outputting the maximum difference between true and current rating - and I have never seen this drop below 500! It hovers between 550-600, occasionally going over or under. I'm at a loss as to what to change - I've fiddled with the K and F values, where I start all the players, etc. but nothing changes the fact that eventually a good 40% of the population is outside the range. And it isn't that I have it playing too few games - it's now run through over 60 thousand games and the problem never disappears or really fluctuates. The full C# code, including everything except the XAML file and the Player class (pastebin is being very slow and I can only post two links, so I can't link to the XAML file): http://pastebin.com/rFcZRL84 The Player class: http://pastebin.com/4cJTdTRu I guess my question is did I do anything wrong? Is there a problem with the way I implemented the system, or is it just that Riot uses a significantly modified Elo system? I don't think it's the latter, as that still wouldn't explain the massive true and current rating differences to me, however.

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  • SQL Server IO handling mechanism can be severely affected by high CPU usage

    - by sqlworkshops
    Are you using SSD or SAN / NAS based storage solution and sporadically observe SQL Server experiencing high IO wait times or from time to time your DAS / HDD becomes very slow according to SQL Server statistics? Read on… I need your help to up vote my connect item – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage. Instead of taking few seconds, queries could take minutes/hours to complete when CPU is busy.In SQL Server when a query / request needs to read data that is not in data cache or when the request has to write to disk, like transaction log records, the request / task will queue up the IO operation and wait for it to complete (task in suspended state, this wait time is the resource wait time). When the IO operation is complete, the task will be queued to run on the CPU. If the CPU is busy executing other tasks, this task will wait (task in runnable state) until other tasks in the queue either complete or get suspended due to waits or exhaust their quantum of 4ms (this is the signal wait time, which along with resource wait time will increase the overall wait time). When the CPU becomes free, the task will finally be run on the CPU (task in running state).The signal wait time can be up to 4ms per runnable task, this is by design. So if a CPU has 5 runnable tasks in the queue, then this query after the resource becomes available might wait up to a maximum of 5 X 4ms = 20ms in the runnable state (normally less as other tasks might not use the full quantum).In case the CPU usage is high, let’s say many CPU intensive queries are running on the instance, there is a possibility that the IO operations that are completed at the Hardware and Operating System level are not yet processed by SQL Server, keeping the task in the resource wait state for longer than necessary. In case of an SSD, the IO operation might even complete in less than a millisecond, but it might take SQL Server 100s of milliseconds, for instance, to process the completed IO operation. For example, let’s say you have a user inserting 500 rows in individual transactions. When the transaction log is on an SSD or battery backed up controller that has write cache enabled, all of these inserts will complete in 100 to 200ms. With a CPU intensive parallel query executing across all CPU cores, the same inserts might take minutes to complete. WRITELOG wait time will be very high in this case (both under sys.dm_io_virtual_file_stats and sys.dm_os_wait_stats). In addition you will notice a large number of WAITELOG waits since log records are written by LOG WRITER and hence very high signal_wait_time_ms leading to more query delays. However, Performance Monitor Counter, PhysicalDisk, Avg. Disk sec/Write will report very low latency times.Such delayed IO handling also occurs to read operations with artificially very high PAGEIOLATCH_SH wait time (with number of PAGEIOLATCH_SH waits remaining the same). This problem will manifest more and more as customers start using SSD based storage for SQL Server, since they drive the CPU usage to the limits with faster IOs. We have a few workarounds for specific scenarios, but we think Microsoft should resolve this issue at the product level. We have a connect item open – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage - (with example scripts) to reproduce this behavior, please up vote the item so the issue will be addressed by the SQL Server product team soon.Thanks for your help and best regards,Ramesh MeyyappanHome: www.sqlworkshops.comLinkedIn: http://at.linkedin.com/in/rmeyyappan

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  • World Record Siebel PSPP Benchmark on SPARC T4 Servers

    - by Brian
    Oracle's SPARC T4 servers set a new World Record for Oracle's Siebel Platform Sizing and Performance Program (PSPP) benchmark suite. The result used Oracle's Siebel Customer Relationship Management (CRM) Industry Applications Release 8.1.1.4 and Oracle Database 11g Release 2 running Oracle Solaris on three SPARC T4-2 and two SPARC T4-1 servers. The SPARC T4 servers running the Siebel PSPP 8.1.1.4 workload which includes Siebel Call Center and Order Management System demonstrates impressive throughput performance of the SPARC T4 processor by achieving 29,000 users. This is the first Siebel PSPP 8.1.1.4 benchmark supporting 29,000 concurrent users with a rate of 239,748 Business Transactions/hour. The benchmark demonstrates vertical and horizontal scalability of Siebel CRM Release 8.1.1.4 on SPARC T4 servers. Performance Landscape Systems Txn/hr Users Call Center Order Management Response Times (sec) 1 x SPARC T4-1 (1 x SPARC T4 2.85 GHz) – Web 3 x SPARC T4-2 (2 x SPARC T4 2.85 GHz) – App/Gateway 1 x SPARC T4-1 (1 x SPARC T4 2.85 GHz) – DB 239,748 29,000 0.165 0.925 Oracle: Call Center + Order Management Transactions: 197,128 + 42,620 Users: 20300 + 8700 Configuration Summary Web Server Configuration: 1 x SPARC T4-1 server 1 x SPARC T4 processor, 2.85 GHz 128 GB memory Oracle Solaris 10 8/11 iPlanet Web Server 7 Application Server Configuration: 3 x SPARC T4-2 servers, each with 2 x SPARC T4 processor, 2.85 GHz 256 GB memory 3 x 300 GB SAS internal disks Oracle Solaris 10 8/11 Siebel CRM 8.1.1.5 SIA Database Server Configuration: 1 x SPARC T4-1 server 1 x SPARC T4 processor, 2.85 GHz 128 GB memory Oracle Solaris 11 11/11 Oracle Database 11g Release 2 (11.2.0.2) Storage Configuration: 1 x Sun Storage F5100 Flash Array 80 x 24 GB flash modules Benchmark Description Siebel 8.1 PSPP benchmark includes Call Center and Order Management: Siebel Financial Services Call Center – Provides the most complete solution for sales and service, allowing customer service and telesales representatives to provide superior customer support, improve customer loyalty, and increase revenues through cross-selling and up-selling. High-level description of the use cases tested: Incoming Call Creates Opportunity, Quote and Order and Incoming Call Creates Service Request . Three complex business transactions are executed simultaneously for specific number of concurrent users. The ratios of these 3 scenarios were 30%, 40%, 30% respectively, which together were totaling 70% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 10, 13, and 35 seconds respectively. Siebel Order Management – Oracle's Siebel Order Management allows employees such as salespeople and call center agents to create and manage quotes and orders through their entire life cycle. Siebel Order Management can be tightly integrated with back-office applications allowing users to perform tasks such as checking credit, confirming availability, and monitoring the fulfillment process. High-level description of the use cases tested: Order & Order Items Creation and Order Updates. Two complex Order Management transactions were executed simultaneously for specific number of concurrent users concurrently with aforementioned three Call Center scenarios above. The ratio of these 2 scenarios was 50% each, which together were totaling 30% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 20 and 67 seconds respectively. Key Points and Best Practices No processor cores or cache were activated or deactivated on the SPARC T-Series systems to achieve special benchmark effects. See Also Siebel White Papers SPARC T4-1 Server oracle.com OTN SPARC T4-2 Server oracle.com OTN Siebel CRM oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, 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 30 September 2012.

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  • Organization &amp; Architecture UNISA Studies &ndash; Chap 6

    - by MarkPearl
    Learning Outcomes Discuss the physical characteristics of magnetic disks Describe how data is organized and accessed on a magnetic disk Discuss the parameters that play a role in the performance of magnetic disks Describe different optical memory devices Magnetic Disk The way data is stored on and retried from magnetic disks Data is recorded on and later retrieved form the disk via a conducting coil named the head (in many systems there are two heads) The writ mechanism exploits the fact that electricity flowing through a coil produces a magnetic field. Electric pulses are sent to the write head, and the resulting magnetic patterns are recorded on the surface below with different patterns for positive and negative currents The physical characteristics of a magnetic disk   Summarize from book   The factors that play a role in the performance of a disk Seek time – the time it takes to position the head at the track Rotational delay / latency – the time it takes for the beginning of the sector to reach the head Access time – the sum of the seek time and rotational delay Transfer time – the time it takes to transfer data RAID The rate of improvement in secondary storage performance has been considerably less than the rate for processors and main memory. Thus secondary storage has become a bit of a bottleneck. RAID works on the concept that if one disk can be pushed so far, additional gains in performance are to be had by using multiple parallel components. Points to note about RAID… RAID is a set of physical disk drives viewed by the operating system as a single logical drive Data is distributed across the physical drives of an array in a scheme known as striping Redundant disk capacity is used to store parity information, which guarantees data recoverability in case of a disk failure (not supported by RAID 0 or RAID 1) Interesting to note that the increase in the number of drives, increases the probability of failure. To compensate for this decreased reliability RAID makes use of stored parity information that enables the recovery of data lost due to a disk failure.   The RAID scheme consists of 7 levels…   Category Level Description Disks Required Data Availability Large I/O Data Transfer Capacity Small I/O Request Rate Striping 0 Non Redundant N Lower than single disk Very high Very high for both read and write Mirroring 1 Mirrored 2N Higher than RAID 2 – 5 but lower than RAID 6 Higher than single disk Up to twice that of a signle disk for read Parallel Access 2 Redundant via Hamming Code N + m Much higher than single disk Highest of all listed alternatives Approximately twice that of a single disk Parallel Access 3 Bit interleaved parity N + 1 Much higher than single disk Highest of all listed alternatives Approximately twice that of a single disk Independent Access 4 Block interleaved parity N + 1 Much higher than single disk Similar to RAID 0 for read, significantly lower than single disk for write Similar to RAID 0 for read, significantly lower than single disk for write Independent Access 5 Block interleaved parity N + 1 Much higher than single disk Similar to RAID 0 for read, lower than single disk for write Similar to RAID 0 for read, generally  lower than single disk for write Independent Access 6 Block interleaved parity N + 2 Highest of all listed alternatives Similar to RAID 0 for read; lower than RAID 5 for write Similar to RAID 0 for read, significantly lower than RAID 5  for write   Read page 215 – 221 for detailed explanation on RAID levels Optical Memory There are a variety of optical-disk systems available. Read through the table on page 222 – 223 Some of the devices include… CD CD-ROM CD-R CD-RW DVD DVD-R DVD-RW Blue-Ray DVD Magnetic Tape Most modern systems use serial recording – data is lade out as a sequence of bits along each track. The typical recording used in serial is referred to as serpentine recording. In this technique when data is being recorded, the first set of bits is recorded along the whole length of the tape. When the end of the tape is reached the heads are repostioned to record a new track, and the tape is again recorded on its whole length, this time in the opposite direction. That process continued back and forth until the tape is full. To increase speed, the read-write head is capable of reading and writing a number of adjacent tracks simultaneously. Data is still recorded serially along individual tracks, but blocks in sequence are stored on adjacent tracks as suggested. A tape drive is a sequential access device. Magnetic tape was the first kind of secondary memory. It is still widely used as the lowest-cost, slowest speed member of the memory hierarchy.

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  • How do I make a firefox extension execute script on page open/load? [migrated]

    - by Will Mc
    Thanks in advance! I am creating my first extension (A firefox extension). See below for full description of final product. I need help starting off. I have looked and studied the HelloWorld.xpi example found on Mozilla's site so I am happy to edit that to learn. In the example, when you click a menu item it runs script to display an alert message. My question is, how would I edit this extension to run the script on page load? I am guessing I need to insert some code in the browserOverlay as it loads on page load so, here is the browserOverlay.xpi from the example I am editing to learn: <?xml version="1.0"?> <?xml-stylesheet type="text/css" href="chrome://global/skin/" ?> <?xml-stylesheet type="text/css" href="chrome://xulschoolhello/skin/browserOverlay.css" ?> <!DOCTYPE overlay SYSTEM "chrome://xulschoolhello/locale/browserOverlay.dtd"> <overlay id="xulschoolhello-browser-overlay" xmlns="http://www.mozilla.org/keymaster/gatekeeper/there.is.only.xul"> <script type="application/x-javascript" src="chrome://xulschoolhello/content/browserOverlay.js" /> <stringbundleset id="stringbundleset"> <stringbundle id="xulschoolhello-string-bundle" src="chrome://xulschoolhello/locale/browserOverlay.properties" /> </stringbundleset> <menubar id="main-menubar"> <menu id="xulschoolhello-hello-menu" label="&xulschoolhello.hello.label;" accesskey="&xulschoolhello.helloMenu.accesskey;" insertafter="helpMenu"> <menupopup> <menuitem id="xulschoolhello-hello-menu-item" label="&xulschoolhello.hello.label;" accesskey="&xulschoolhello.helloItem.accesskey;" oncommand="XULSchoolChrome.BrowserOverlay.sayHello(event);" /> </menupopup> </menu> </menubar> <vbox id="appmenuSecondaryPane"> <menu id="xulschoolhello-hello-menu-2" label="&xulschoolhello.hello.label;" accesskey="&xulschoolhello.helloMenu.accesskey;" insertafter="appmenu_addons"> <menupopup> <menuitem id="xulschoolhello-hello-menu-item-2" label="&xulschoolhello.hello.label;" accesskey="&xulschoolhello.helloItem.accesskey;" oncommand="XULSchoolChrome.BrowserOverlay.sayHello(event);" /> </menupopup> </menu> </vbox> </overlay> I hope you can help me. I need to know what code I should use and where I should put it... Here is the gist of my overall extension - I am creating a click to call extension. This extension will search any new page for a phone number whether just refreshed, new page, new tab etc... Each phone number when clicked will open a new tab and direct user to a custom URL. Thanks again!

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  • Package Version Numbers, why are they so important

    - by Chris W Beal
    One of the design goals of IPS has been to allow people to easily move forward to a supported "Surface" of component. That is to say, when you  # pkg update your system, you get the latest set of components which all work together, based on the packages you already have installed. During development, this has meant simply you update to the latest "build" of the components. (During development, we build everything and publish everything every two weeks). Now we've released Solaris 11 using the IPS technologies, things are a bit more complicated. We need to be able to reflect all the types of Solaris release we are doing. For example Solaris Development builds, Solaris Update builds and "Support Repository Updates" (the replacement for patches) in the version scheme. So simply saying "151" as the build number isn't sufficient to articulate what you are running, or indeed what is available to update to In my previous blog post I talked about creating your own package, and gave an example FMRI of pkg://tools/[email protected],0.5.11-0.0.0 But it's probably more instructive to look at the FMRI of a Solaris package. The package "core-os" contains all the common utilities and daemons you need to use Solaris.  $ pkg info core-os Name: system/core-os Summary: Core Solaris Description: Operating system core utilities, daemons, and configuration files. Category: System/Core State: Installed Publisher: solaris Version: 0.5.11 Build Release: 5.11 Branch: 0.175.0.0.0.2.1 Packaging Date: Wed Oct 19 07:04:57 2011 Size: 25.14 MB FMRI: pkg://solaris/system/[email protected],5.11-0.175.0.0.0.2.1:20111019T070457Z The FMRI is what we will concentrate on here. In this package "solaris" is the publisher. You can use the pkg publisher command to see where the solaris publisher gets it's bits from $ pkg publisher PUBLISHER TYPE STATUS URI solaris origin online http://pkg.oracle.com/solaris/release/ So we can see we get solaris packages from pkg.oracle.com.  The package name is system/core-os. These can be arbitrary length, just to allow you to group similar packages together. Now on the the interesting? bit, the versions, everything after the @ is part of the version. IPS will only upgrade to a "higher" version. [email protected],5.11-0.175.0.0.0.2.1:20111019T070457Z core-os = Package Name0.5.11 = Component - in this case we're saying it's a SunOS 5.11 package, = separator5.11 = Built on version - to indicate what OS version you built the package on- = another separator0.175.0.0.0.2.1 = Branch Version : = yet another separator20111019T070457Z = Time stamp when the package was published So from that we can see the Branch Version seems rather complex. It is necessarily so, to allow us to describe the hierachy of releases we do In this example we see the following 0.175: is known as the trunkid, and is incremented each build of a new release of Solaris. During Solaris 11 this should not change  0: is the Update release for Solaris. 0 for FCS, 1 for update 1 etc 0: is the SRU for Solaris. 0 for FCS, 1 for SRU 1 etc 0: is reserved for future use 2: Build number of the SRU 1: Nightly ID - only important for Solaris developersTake a hypothetical example [email protected],5.11-0.175.1.5.0.4.1:<something> This would be build 4 of SRU 5 of Update 1 of Solaris 11 This is actually documented in a MOS article 1378134.1 Which you can read if you have a support contract.

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  • Fetching Partition Information

    - by Mike Femenella
    For a recent SSIS package at work I needed to determine the distinct values in a partition, the number of rows in each partition and the file group name on which each partition resided in order to come up with a grouping mechanism. Of course sys.partitions comes to mind for some of that but there are a few other tables you need to link to in order to grab the information required. The table I’m working on contains 8.8 billion rows. Finding the distinct partition keys from this table was not a fast operation. My original solution was to create  a temporary table, grab the distinct values for the partitioned column, then update via sys.partitions for the rows and the $partition function for the partitionid and finally look back to the sys.filegroups table for the filegroup names. It wasn’t pretty, it could take up to 15 minutes to return the results. The primary issue is pulling distinct values from the table. Queries for distinct against 8.8 billion rows don’t go quickly. A few beers into a conversation with a friend and we ended up talking about work which led to a conversation about the task described above. The solution was already built in SQL Server, just needed to pull it together. The first table I needed was sys.partition_range_values. This contains one row for each range boundary value for a partition function. In my case I have a partition function which uses dayid values. For example July 4th would be represented as an int, 20130704. This table lists out all of the dayid values which were defined in the function. This eliminated the need to query my source table for distinct dayid values, everything I needed was already built in here for me. The only caveat was that in my SSIS package I needed to create a bucket for any dayid values that were out of bounds for my function. For example if my function handled 20130501 through 20130704 and I had day values of 20130401 or 20130705 in my table, these would not be listed in sys.partition_range_values. I just created an “everything else” bucket in my ssis package just in case I had any dayid values unaccounted for. To get the number of rows for a partition is very easy. The sys.partitions table contains values for each partition. Easy enough to achieve by querying for the object_id and index value of 1 (the clustered index) The final piece of information was the filegroup name. There are 2 options available to get the filegroup name, sys.data_spaces or sys.filegroups. For my query I chose sys.filegroups but really it’s a matter of preference and data needs. In order to bridge between sys.partitions table and either sys.data_spaces or sys.filegroups you need to get the container_id. This can be done by joining sys.allocation_units.container_id to the sys.partitions.hobt_id. sys.allocation_units contains the field data_space_id which then lets you join in either sys.data_spaces or sys.file_groups. The end result is the query below, which typically executes for me in under 1 second. I’ve included the join to sys.filegroups and to sys.dataspaces, and I’ve  just commented out the join sys.filegroups. As I mentioned above, this shaves a good 10-15 minutes off of my original ssis package and is a really easy tweak to get a boost in my ETL time. Enjoy.

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  • Call For Papers Tips and Tricks

    - by speakjava
    This year's JavaOne session review has just been completed and by now everyone who submitted papers should know whether they were successful or not.  I had the pleasure again this year of leading the review of the 'JavaFX and Rich User Experiences' track.  I thought it would be useful to write up a few comments to help people in future when submitting session proposals, not just for JavaOne, but for any of the many developer conferences that run around the world throughout the year.  This also draws on conversations I recently had with various Java User Group leaders at the Oracle User Group summit in Riga.  Many of these leaders run some of the biggest and most successful Java conferences in Europe. Try to think of a title which will sound interesting.  For example, "Experiences of performance tuning embedded Java for an ARM architecture based single board computer" probably isn't going to get as much attention as "Do you like coffee with your dessert? Java on the Raspberry Pi".  When thinking of the subject and title for your talk try to steer clear of sessions that might be too generic (and so get lost in a group of similar sessions).  Introductory talks are great when the audience is new to a subject, but beware of providing sessions that are too basic when the technology has been around for a while and there are lots of tutorials already available on the web. JavaOne, like many other conferences has a number of fields that need to be filled in when submitting a paper.  Many of these are selected from pull-down lists (like which track the session is applicable to).  Check these lists carefully.  A number of sessions we had needed to be shuffled between tracks when it was thought that the one selected was not appropriate.  We didn't count this against any sessions, but it's always a good idea to try and get the right one from the start, just in case. JavaOne, again like many other conferences, has two fields that describe the session being submitted: abstract and summary.  These are the most critical to a successful submission.  The two fields have different names and that is significant; a frequent mistake people make is to write an abstract for a session and then duplicate it for the summary.  The abstract (at least in the case of JavaOne) is what gets printed in the show guide and is typically what will be used by attendees when deciding what sessions to attend.  This is where you need to sell your session, not just to the reviewers, but also the people who you want in your audience.  Submitting a one line abstract (unless it's a really good one line) is not usually enough to decide whether this is worth investing an hour of conference time.  The abstract typically has a limit of a few hundred characters.  Try to use as many of them as possible to get as much information about your session across.  The summary should be different from the abstract (and don't leave it blank as some people do).  This field is where you can give the reviewers more detail about things like the structure of the talk, possible demonstrations and so on.  As a reviewer I look to this section to help me decide whether the hard-sell of the title and abstract will actually be reflected in the final content.  Try to make this comprehensive, but don't make it excessively long.  When you have to review possibly hundreds of sessions a certain level of conciseness can make life easier for reviewers and help the cause of your session. If you've not made many submissions for talks in the past, or if this is your first, try to give reviewers places to find background on you as a presenter.  Having an active blog and Twitter handle can also help reviewers if they're not sure what your level of expertise is.  Many call-for-papers have places for you to include this type of information.  It's always good to have new and original presenters and presentations for conferences.  Hopefully these tips will help you be successful when you answer the next call-for-papers.

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  • ORE graphics using Remote Desktop Protocol

    - by Sherry LaMonica
    Oracle R Enterprise graphics are returned as raster, or bitmap graphics. Raster images consist of tiny squares of color information referred to as pixels that form points of color to create a complete image. Plots that contain raster images render quickly in R and create small, high-quality exported image files in a wide variety of formats. However, it is a known issue that the rendering of raster images can be problematic when creating graphics using a Remote Desktop connection. Raster images do not display in the windows device using Remote Desktop under the default settings. This happens because Remote Desktop restricts the number of colors when connecting to a Windows machine to 16 bits per pixel, and interpolating raster graphics requires many colors, at least 32 bits per pixel.. For example, this simple embedded R image plot will be returned in a raster-based format using a standalone Windows machine:  R> library(ORE) R> ore.connect(user="rquser", sid="orcl", host="localhost", password="rquser", all=TRUE)  R> ore.doEval(function() image(volcano, col=terrain.colors(30))) Here, we first load the ORE packages and connect to the database instance using database login credentials. The ore.doEval function executes the R code within the database embedded R engine and returns the image back to the client R session. Over a Remote Desktop connection under the default settings, this graph will appear blank due to the restricted number of colors. Users who encounter this issue have two options to display ORE graphics over Remote Desktop: either raise Remote Desktop's Color Depth or direct the plot output to an alternate device. Option #1: Raise Remote Desktop Color Depth setting In a Remote Desktop session, all environment variables, including display variables determining Color Depth, are determined by the RCP-Tcp connection settings. For example, users can reduce the Color Depth when connecting over a slow connection. The different settings are 15 bits, 16 bits, 24 bits, or 32 bits per pixel. To raise the Remote Desktop color depth: On the Windows server, launch Remote Desktop Session Host Configuration from the Accessories menu.Under Connections, right click on RDP-Tcp and select Properties.On the Client Settings tab either uncheck LimitMaximum Color Depth or set it to 32 bits per pixel. Click Apply, then OK, log out of the remote session and reconnect.After reconnecting, the Color Depth on the Display tab will be set to 32 bits per pixel.  Raster graphics will now display as expected. For ORE users, the increased color depth results in slightly reduced performance during plot creation, but the graph will be created instead of displaying an empty plot. Option #2: Direct plot output to alternate device Plotting to a non-windows device is a good option if it's not possible to increase Remote Desktop Color Depth, or if performance is degraded when creating the graph. Several device drivers are available for off-screen graphics in R, such as postscript, pdf, and png. On-screen devices include windows, X11 and Cairo. Here we output to the Cairo device to render an on-screen raster graphic.  The grid.raster function in the grid package is analogous to other grid graphical primitives - it draws a raster image within the current plot's grid.  R> options(device = "CairoWin") # use Cairo device for plotting during the session R> library(Cairo) # load Cairo, grid and png libraries  R> library(grid) R> library(png)  R> res <- ore.doEval(function()image(volcano,col=terrain.colors(30))) # create embedded R plot  R> img <- ore.pull(res, graphics = TRUE)$img[[1]] # extract image  R> grid.raster(as.raster(readPNG(img)), interpolate = FALSE) # generate raster graph R> dev.off() # turn off first device   By default, the interpolate argument to grid.raster is TRUE, which means that what is actually drawn by R is a linear interpolation of the pixels in the original image. Setting interpolate to FALSE uses a sample from the pixels in the original image.A list of graphics devices available in R can be found in the Devices help file from the grDevices package: R> help(Devices)

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  • BizTalk&ndash;Mapping repeating EDI segments using a Table Looping functoid

    - by Bill Osuch
    BizTalk’s HIPAA X12 schemas have several repeating date/time segments in them, where the XML winds up looking something like this: <DTM_StatementDate> <DTM01_DateTimeQualifier>232</DTM01_DateTimeQualifier> <DTM02_ClaimDate>20120301</DTM02_ClaimDate> </DTM_StatementDate> <DTM_StatementDate> <DTM01_DateTimeQualifier>233</DTM01_DateTimeQualifier> <DTM02_ClaimDate>20120302</DTM02_ClaimDate> </DTM_StatementDate> The corresponding EDI segments would look like this: DTM*232*20120301~ DTM*233*20120302~ The DateTimeQualifier element indicates whether it’s the start date or end date – 232 for start, 233 for end. So in this example (an X12 835) we’re saying the statement starts on 3/1/2012 and ends on 3/2/2012. When you’re mapping from some other data format, many times your start and end dates will be within the same node, like this: <StatementDates> <Begin>20120301</Begin> <End>20120302</End> </StatementDates> So how do you map from that and create two repeating segments in your destination map? You could connect both the <Begin> and <End> nodes to a looping functoid, and connect its output to <DTM_StatementDate>, then connect both <Begin> and <End> to <DTM_StatementDate> … this would give you two repeating segments, each with the correct date, but how to add the correct qualifier? The answer is the Table Looping Functoid! To test this, let’s create a simplified schema that just contains the date fields we’re mapping. First, create your input schema: And your output schema: Now create a map that uses these two schemas, and drag a Table Looping functoid onto it. The first input parameter configures the scope (or how many times the records will loop), so drag a link from the StatementDates node over to the functoid. Yes, StatementDates only appears once, so this would make it seem like it would only loop once, but you’ll see in just a minute. The second parameter in the functoid is the number of columns in the output table. We want to fill two fields, so just set this to 2. Now drag the Begin and End nodes over to the functoid. Finally, we want to add the constant values for DateTimeQualifier, so add a value of 232 and another of 233. When all your inputs are configured, it should look like this: Now we’ll configure the output table. Click on the Table Looping Grid, and configure it to look like this: Microsoft’s description of this functoid says “The Table Looping functoid repeats with the looping record it is connected to. Within each iteration, it loops once per row in the table looping grid, producing multiple output loops.” So here we will loop (# of <StatementDates> nodes) * (Rows in the table), or 2 times. Drag two Table Extractor functoids onto the map; these are what are going to pull the data we want out of the table. The first input to each of these will be the output of the TableLooping functoid, and the second input will be the row number to pull from. So the functoid connected to <DTM01_DateTimeQualifier> will look like this: Connect these two functoids to the two nodes we want to populate, and connect another output from the Table Looping functoid to the <DTM_StatementDate> record. You should have a map that looks something like this: Create some sample xml, use it as the TestMap Input Instance, and you should get a result like the XML at the top of this post. Technorati Tags: BizTalk, EDI, Mapping

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  • Give a session on C++ AMP – here is how

    - by Daniel Moth
    Ever since presenting on C++ AMP at the AMD Fusion conference in June, then the Gamefest conference in August, and the BUILD conference in September, I've had numerous requests about my material from folks that want to re-deliver the same session. The C++ AMP session I put together has evolved over the 3 presentations to its final form that I used at BUILD, so that is the one I recommend you base yours on. Please get the slides and the recording from channel9 (I'll refer to slide numbers below). This is how I've been presenting the C++ AMP session: Context (slide 3, 04:18-08:18) Start with a demo, on my dual-GPU machine. I've been using the N-Body sample (for VS 11 Developer Preview). (slide 4) Use an nvidia slide that has additional examples of performance improvements that customers enjoy with heterogeneous computing. (slide 5) Talk a bit about the differences today between CPU and GPU hardware, leading to the fact that these will continue to co-exist and that GPUs are great for data parallel algorithms, but not much else today. One is a jack of all trades and the other is a number cruncher. (slide 6) Use the APU example from amd, as one indication that the hardware space is still in motion, emphasizing that the C++ AMP solution is a data parallel API, not a GPU API. It has a future proof design for hardware we have yet to see. (slide 7) Provide more meta-data, as blogged about when I first introduced C++ AMP. Code (slide 9-11) Introduce C++ AMP coding with a simplistic array-addition algorithm – the slides speak for themselves. (slide 12-13) index<N>, extent<N>, and grid<N>. (Slide 14-16) array<T,N>, array_view<T,N> and comparison between them. (Slide 17) parallel_for_each. (slide 18, 21) restrict. (slide 19-20) actual restrictions of restrict(direct3d) – the slides speak for themselves. (slide 22) bring it altogether with a matrix multiplication example. (slide 23-24) accelerator, and accelerator_view. (slide 26-29) Introduce tiling incl. tiled matrix multiplication [tiling probably deserves a whole session instead of 6 minutes!]. IDE (slide 34,37) Briefly touch on the concurrency visualizer. It supports GPU profiling, but enhancements specific to C++ AMP we hope will come at the Beta timeframe, which is when I'll be spending more time talking about it. (slide 35-36, 51:54-59:16) Demonstrate the GPU debugging experience in VS 11. Summary (slide 39) Re-iterate some of the points of slide 7, and add the point that the C++ AMP spec will be open for other compiler vendors to implement, even on other platforms (in fact, Microsoft is actively working on that). (slide 40) Links to content – see slide – including where all your questions should go: http://social.msdn.microsoft.com/Forums/en/parallelcppnative/threads.   "But I don't have time for a full blown session, I only need 2 (or just 1, or 3) C++ AMP slides to use in my session on related topic X" If all you want is a small number of slides, you can take some from the session above and customize them. But because I am so nice, I have created some slides for you, including talking points in the notes section. Download them here. Comments about this post by Daniel Moth welcome at the original blog.

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  • PowerShell Script To Find Where SharePoint 2007 Features Are Activated

    - by Brian T. Jackett
    Recently I posted a script to find where SharePoint 2010 Features Are Activated.  I built the original version to use SharePoint 2010 PowerShell commandlets as that saved me a number of steps for filtering and gathering features at each level.  If there was ever demand for a 2007 version I could modify the script to handle that by using the object model instead of commandlets.  Just the other week a fellow SharePoint PFE Jason Gallicchio had a customer asking about a version for SharePoint 2007.  With a little bit of work I was able to convert the script to work against SharePoint 2007.   Solution    Below is the converted script that works against a SharePoint 2007 farm.  Note: There appears to be a bug with the 2007 version that does not give accurate results against a SharePoint 2010 farm.  I ran the 2007 version against a 2010 farm and got fewer results than my 2010 version of the script.  Discussing with some fellow PFEs I think the discrepancy may be due to sandboxed features, a new concept in SharePoint 2010.  I have not had enough time to test or confirm.  For the time being only use the 2007 version script against SharePoint 2007 farms and the 2010 version against SharePoint 2010 farms.    Note: This script is not optimized for medium to large farms.  In my testing it took 1-3 minutes to recurse through my demo environment.  This script is provided as-is with no warranty.  Run this in a smaller dev / test environment first. 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068 069 070 function Get-SPFeatureActivated { # see full script for help info, removed for formatting [CmdletBinding()] param(     [Parameter(position = 1, valueFromPipeline=$true)]     [string]     $Identity )#end param     Begin     {         # load SharePoint assembly to access object model         [void][System.Reflection.Assembly]::LoadWithPartialName("Microsoft.SharePoint")             # declare empty array to hold results. Will add custom member for Url to show where activated at on objects returned from Get-SPFeature.         $results = @()                 $params = @{}     }     Process     {         if([string]::IsNullOrEmpty($Identity) -eq $false)         {             $params = @{Identity = $Identity}         }                 # create hashtable of farm features to lookup definition ids later         $farm = [Microsoft.SharePoint.Administration.SPFarm]::Local                         # check farm features         $results += ($farm.FeatureDefinitions | Where-Object {$_.Scope -eq "Farm"} | Where-Object {[string]::IsNullOrEmpty($Identity) -or ($_.DisplayName -eq $Identity)} |                          % {Add-Member -InputObject $_ -MemberType noteproperty -Name Url -Value ([string]::Empty) -PassThru} |                          Select-Object -Property Scope, DisplayName, Id, Url)                 # check web application features         $contentWebAppServices = $farm.services | ? {$_.typename -like "Windows SharePoint Services Web Application"}                 foreach($webApp in $contentWebAppServices.WebApplications)         {             $results += ($webApp.Features | Select-Object -ExpandProperty Definition | Where-Object {[string]::IsNullOrEmpty($Identity) -or ($_.DisplayName -eq $Identity)} |                          % {Add-Member -InputObject $_ -MemberType noteproperty -Name Url -Value $webApp.GetResponseUri(0).AbsoluteUri -PassThru} |                          Select-Object -Property Scope, DisplayName, Id, Url)                         # check site collection features in current web app             foreach($site in ($webApp.Sites))             {                 $results += ($site.Features | Select-Object -ExpandProperty Definition | Where-Object {[string]::IsNullOrEmpty($Identity) -or ($_.DisplayName -eq $Identity)} |                                  % {Add-Member -InputObject $_ -MemberType noteproperty -Name Url -Value $site.Url -PassThru} |                                  Select-Object -Property Scope, DisplayName, Id, Url)                                 # check site features in current site collection                 foreach($web in ($site.AllWebs))                 {                     $results += ($web.Features | Select-Object -ExpandProperty Definition | Where-Object {[string]::IsNullOrEmpty($Identity) -or ($_.DisplayName -eq $Identity)} |                                      % {Add-Member -InputObject $_ -MemberType noteproperty -Name Url -Value $web.Url -PassThru} |                                      Select-Object -Property Scope, DisplayName, Id, Url)                                                        $web.Dispose()                 }                 $site.Dispose()             }         }     }     End     {         $results     } } #end Get-SPFeatureActivated Get-SPFeatureActivated   Conclusion    I have posted this script to the TechNet Script Repository (click here).  As always I appreciate any feedback on scripts.  If anyone is motivated to run this 2007 version script against a SharePoint 2010 to see if they find any differences in number of features reported versus what they get with the 2010 version script I’d love to hear from you.         -Frog Out

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  • Fast Data - Big Data's achilles heel

    - by thegreeneman
    At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database.  Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions.   Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity.   The software in the Fast Data solution stack involves 3 key pieces and their integration:  Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database.   All three of these technologies address a high throughput, low latency data management requirement.   Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream.    Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access.  It also has some special capabilities to deploy remote behavioral execution for "near data" processing.   The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads.  For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics.  Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis.  Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution.  The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together.   You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval.   Here is a great reference to how these two technologies are integrated and work together.  Coherence & Oracle NoSQL Database.   On the stream processing side, it is similar as with the Coherence case.  As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage.  OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream.  Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together.  OEP & Oracle NoSQL Database.

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  • Feynman's inbox

    - by user12607414
    Here is Richard Feynman writing on the ease of criticizing theories, and the difficulty of forming them: The problem is not just to say something might be wrong, but to replace it by something — and that is not so easy. As soon as any really definite idea is substituted it becomes almost immediately apparent that it does not work. The second difficulty is that there is an infinite number of possibilities of these simple types. It is something like this. You are sitting working very hard, you have worked for a long time trying to open a safe. Then some Joe comes along who knows nothing about what you are doing, except that you are trying to open the safe. He says ‘Why don’t you try the combination 10:20:30?’ Because you are busy, you have tried a lot of things, maybe you have already tried 10:20:30. Maybe you know already that the middle number is 32 not 20. Maybe you know as a matter of fact that it is a five digit combination… So please do not send me any letters trying to tell me how the thing is going to work. I read them — I always read them to make sure that I have not already thought of what is suggested — but it takes too long to answer them, because they are usually in the class ‘try 10:20:30’. (“Seeking New Laws”, page 161 in The Character of Physical Law.) As a sometime designer (and longtime critic) of widely used computer systems, I have seen similar difficulties appear when anyone undertakes to publicly design a piece of software that may be used by many thousands of customers. (I have been on both sides of the fence, of course.) The design possibilities are endless, but the deep design problems are usually hidden beneath a mass of superfluous detail. The sheer numbers can be daunting. Even if only one customer out of a thousand feels a need to express a passionately held idea, it can take a long time to read all the mail. And it is a fact of life that many of those strong suggestions are only weakly supported by reason or evidence. Opinions are plentiful, but substantive research is time-consuming, and hence rare. A related phenomenon commonly seen with software is bike-shedding, where interlocutors focus on surface details like naming and syntax… or (come to think of it) like lock combinations. On the other hand, software is easier than quantum physics, and the population of people able to make substantial suggestions about software systems is several orders of magnitude bigger than Feynman’s circle of colleagues. My own work would be poorer without contributions — sometimes unsolicited, sometimes passionately urged on me — from the open source community. If a Nobel prize winner thought it was worthwhile to read his mail on the faint chance of learning a good idea, I am certainly not going to throw mine away. (In case anyone is still reading this, and is wondering what provoked a meditation on the quality of one’s inbox contents, I’ll simply point out that the volume has been very high, for many months, on the Lambda-Dev mailing list, where the next version of the Java language is being discussed. Bravo to those of my colleagues who are surfing that wave.) I started this note thinking there was an odd parallel between the life of the physicist and that of a software designer. On second thought, I’ll bet that is the story for anybody who works in public on something requiring special training. (And that would be pretty much anything worth doing.) In any case, Feynman saw it clearly and said it well.

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  • Snap App Windows to Pre-Defined Screen Sections with Acer GridVista

    - by Asian Angel
    The window snapping feature in Windows 7 and the ability to organize monitor(s) into specific gridded sections have both become popular lately. If you love the idea of having both combined in a single software then join us as we look at Acer GridVista. Note: Acer GridVista works with Windows XP, Vista, & 7. It will also work with dual monitors. Setup Acer GridVista comes in a zip file format and at first you might assume that it is portable in nature but it is not. Once you unzip the enclosed folder you will need to double click on “Setup.exe” to install the program. Acer GridVista in Action Once you have installed the program and started it up all that you will notice at first is the new “System Tray Icon”. Here you can see the “Context Menu”… The only menu command that you will likely use most of the time is the “Grid Configuration Command”. Notice that for our single monitor setup that it lists “Display 1”. The “Single Setting” is enabled by default and you can easily choose the layout that best suits your needs. The enabled layout style will always be highlighted in yellow for easy reference. For our example we chose the “Triple (primary at right)” layout style. Each section will be specifically numbered as shown here. Do not worry…the grid and numbers only appear for a moment and then become invisible again until you move an app window into that section/area of your screen. On every regular app window that you open you will notice three new buttons in the upper right corner. Here is what each of these new buttons do: Acer GridVista Extensions (Transparent, Send To Window Grid, About Acer GridVista): Viewable in a drop-down menu Lock To Grid (Enable/Disable): Enabled by default –> Note: Set to disable on a particular window to keep it free of the “grid locking function” Always On Top (Enable/Disable): Disabled by default A good look at the “Extensions Drop-Down Menu” where you can set an app window to be transparent or send it to a specific screen section on your monitor(s). If you open an app it will not automatically lock into a specific section. To lock the window into a specific section drag-and-drop the app window into the desired section. Notice the red outline and highlighted number on “Section 2” below. The red outline and highlighted number serves as an indicator that if you release the app window at that moment it will lock into the outlined/highlighted section. Now that Notepad is locked into “Section 2” you can see that it is maximized within that section. Continue to drag-and-drop your app windows into the appropriate sections as desired…apps can still be reduced to the “Taskbar” the same as before. Options These are the options available for Acer GridVista… Conclusion If you have been wanting the ability to “snap” windows and organize them into specific screen areas then Acer GridVista is definitely a program that you should try out. Links Download Acer GridVista at Softpedia View detailed information at the Acer GridVista Homepage Similar Articles Productive Geek Tips Multitask Like a Pro with AquaSnapHelp Troubleshoot the Blue Screen of Death by Preventing Automatic RebootAdd Windows 7’s AeroSnap Feature to Vista and XPResize Windows to Specific Dimensions Easily With SizerKeyboard Ninja: Assign a Hotkey to any Window TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 Playing Games In Chrome Made Easier Stop In The Name Of Love (Firefox addon) Chitika iPad Labs Gives Live iPad Sale Stats Heaven & Hell Finder Icon Using TrueCrypt to Secure Your Data Quickly Schedule Meetings With NeedtoMeet

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  • Observing flow control idle time in TCP

    - by user12820842
    Previously I described how to observe congestion control strategies during transmission, and here I talked about TCP's sliding window approach for handling flow control on the receive side. A neat trick would now be to put the pieces together and ask the following question - how often is TCP transmission blocked by congestion control (send-side flow control) versus a zero-sized send window (which is the receiver saying it cannot process any more data)? So in effect we are asking whether the size of the receive window of the peer or the congestion control strategy may be sub-optimal. The result of such a problem would be that we have TCP data that we could be transmitting but we are not, potentially effecting throughput. So flow control is in effect: when the congestion window is less than or equal to the amount of bytes outstanding on the connection. We can derive this from args[3]-tcps_snxt - args[3]-tcps_suna, i.e. the difference between the next sequence number to send and the lowest unacknowledged sequence number; and when the window in the TCP segment received is advertised as 0 We time from these events until we send new data (i.e. args[4]-tcp_seq = snxt value when window closes. Here's the script: #!/usr/sbin/dtrace -s #pragma D option quiet tcp:::send / (args[3]-tcps_snxt - args[3]-tcps_suna) = args[3]-tcps_cwnd / { cwndclosed[args[1]-cs_cid] = timestamp; cwndsnxt[args[1]-cs_cid] = args[3]-tcps_snxt; @numclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = count(); } tcp:::send / cwndclosed[args[1]-cs_cid] && args[4]-tcp_seq = cwndsnxt[args[1]-cs_cid] / { @meantimeclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = avg(timestamp - cwndclosed[args[1]-cs_cid]); @stddevtimeclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = stddev(timestamp - cwndclosed[args[1]-cs_cid]); @numclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = count(); cwndclosed[args[1]-cs_cid] = 0; cwndsnxt[args[1]-cs_cid] = 0; } tcp:::receive / args[4]-tcp_window == 0 && (args[4]-tcp_flags & (TH_SYN|TH_RST|TH_FIN)) == 0 / { swndclosed[args[1]-cs_cid] = timestamp; swndsnxt[args[1]-cs_cid] = args[3]-tcps_snxt; @numclosed["swnd", args[2]-ip_saddr, args[4]-tcp_dport] = count(); } tcp:::send / swndclosed[args[1]-cs_cid] && args[4]-tcp_seq = swndsnxt[args[1]-cs_cid] / { @meantimeclosed["swnd", args[2]-ip_daddr, args[4]-tcp_sport] = avg(timestamp - swndclosed[args[1]-cs_cid]); @stddevtimeclosed["swnd", args[2]-ip_daddr, args[4]-tcp_sport] = stddev(timestamp - swndclosed[args[1]-cs_cid]); swndclosed[args[1]-cs_cid] = 0; swndsnxt[args[1]-cs_cid] = 0; } END { printf("%-6s %-20s %-8s %-25s %-8s %-8s\n", "Window", "Remote host", "Port", "TCP Avg WndClosed(ns)", "StdDev", "Num"); printa("%-6s %-20s %-8d %@-25d %@-8d %@-8d\n", @meantimeclosed, @stddevtimeclosed, @numclosed); } So this script will show us whether the peer's receive window size is preventing flow ("swnd" events) or whether congestion control is limiting flow ("cwnd" events). As an example I traced on a server with a large file transfer in progress via a webserver and with an active ssh connection running "find / -depth -print". Here is the output: ^C Window Remote host Port TCP Avg WndClosed(ns) StdDev Num cwnd 10.175.96.92 80 86064329 77311705 125 cwnd 10.175.96.92 22 122068522 151039669 81 So we see in this case, the congestion window closes 125 times for port 80 connections and 81 times for ssh. The average time the window is closed is 0.086sec for port 80 and 0.12sec for port 22. So if you wish to change congestion control algorithm in Oracle Solaris 11, a useful step may be to see if congestion really is an issue on your network. Scripts like the one posted above can help assess this, but it's worth reiterating that if congestion control is occuring, that's not necessarily a problem that needs fixing. Recall that congestion control is about controlling flow to prevent large-scale drops, so looking at congestion events in isolation doesn't tell us the whole story. For example, are we seeing more congestion events with one control algorithm, but more drops/retransmission with another? As always, it's best to start with measures of throughput and latency before arriving at a specific hypothesis such as "my congestion control algorithm is sub-optimal".

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  • The Three-Legged Milk Stool - Why Oracle Fusion Incentive Compensation makes the difference!

    - by Richard Lefebvre
    During the London Olympics, we were exposed to dozens of athletes who worked with sports psychologists to maximize their performance. Executives often hire business psychologists to coach their teams to excellence. In the same vein, Fusion Incentive Compensation can be used to get people to change their sales behavior so we can make our numbers. But what about using incentive compensation solutions in a non-sales scenario to drive change? Recently, I was working an opportunity where a company was having a low user adoption rate for Salesforce.com, which was causing problems for them. I suggested they use Fusion Incentive Comp to change the reps' behavior. We tossed around the idea of tracking user adoption by creating a variable bonus for reps based on how well they forecasted revenues in the new system. Another thought was to reward the reps for how often they logged into the system or for the percentage of leads that became opportunities and turned into revenue. A new twist on a great product. Fusion CRM's Sweet Spot I'm excited about the sales performance management (SPM) tools in Fusion CRM. This trio of Incentive Compensation, Territory Management, and Quota Management sets us apart from the competition because Oracle is the only vendor that provides all three of these capabilities on a single tech stack, in a single application, and with a single look and feel. The niche vendors offer standalone territory or incentive compensation solutions, but then the customer has to custom build the other tools and can end up with a Frankenstein-type environment. On average, companies overpay sales commissions by three to eight percent. You calculate that number for a company the size of Oracle for one quarter and it makes a pretty air-tight financial case for using SPM tools to figure accurate commissions. Plus when sales reps get the right compensation, they can be out selling rather than spending precious time figuring out what they didn't get paid or looking for another job. And one more thing ... Oracle knows incentive comp. We have been a Gartner Market Scope leader in this space for the last five years. Our solution gets high marks because of its scalability and because of its interoperability with other technologies. And now that we're leading with Fusion, our incentive compensation offering includes the innovations that the Fusion team built, plus enhancements from the E-Business Suite Incentive Comp team. It's a case of making a good thing even better. (See product video.) The "Wedge" Apps In a number of accounts that I'm working on, there is a non-Oracle CRM system of record. That gives me the perfect opportunity to introduce the benefits of our SPM tools and to get the customer using Fusion. Then the door is wide open for the company to uptake more of Fusion CRM, especially since all the integrations they need are out of the box. I really believe that implementing this wedge of SPM tools is the ticket to taking market share away from other vendors. It allows us to insert ourselves in an environment where no other CRM solution in the market has the extending capabilities of Fusion. Not Just Your Usual Suspects Usually the stakeholders that I talk to for Territory Management are tightly aligned with the sales management team. When I sell the quota planning tool, I'm talking to finance people on the ERP side of the house who are measuring quotas and forecasting revenue. And then Incentive Comp is of most interest to the sales operations people, and generally these people roll up to either HR or the payroll department. I think of our Fusion SPM tools as a three-legged stool straddling an organization's Sales, Finance, and HR departments. So when you're prospecting for opportunities -- yes, people with a CRM perspective will be very interested -- but don't limit yourselves to that constituency. You might find stakeholders in accounting, revenue planning, or HR compensation teams. You just might discover, as I did at United Airlines, that the HR organization is spearheading the CRM project because incentive compensation is what they need ... and they're the ones with the budget. Jason Loh Global Solutions Manager, Fusion CRM Sales Planning Oracle Corporation

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  • OpenWorld: Our (Road) Maps are Looking Good!

    - by Tony Berk
    Wow, only one (or two) days down at Oracle OpenWorld! Are you on overload yet? I'm still trying to figure out how to be in 3 sessions at the same time... I guess everyone needs to prioritize! There was a lot to see in Monday's sessions, especially some great forward-looking roadmap sessions. In case you aren't here or you decided to go to other sessions, this is my quick summary of what I could capture from a couple of the roadmaps: In the Fusion CRM Strategy and Roadmap session, Anthony Lye provided an overview of the Fusion CRM strategy including the key design principles of 3 E's: Easy, Effective and Efficient. After an overview of how Oracle has deployed Fusion CRM internally to 25,000 users worldwide, Anthony discussed the features coming in the next release, the releases in the next 12 months and beyond. I can't detail too much since you haven't read Oracle's Safe Harbor statement, but check out Fusion Tap and look for new features and added functionality for sales prediction, marketing, social and integration with a number of the key Customer Experience products.  In the Oracle RightNow CX Cloud Service Vision and Roadmap session, Chris Hamilton presented the focus areas for the RightNow product. As a result of the large increase in development resources after the acquisition, the RightNow CX team is planning a lot of enhancements to the functionality, infrastructure and integrations. As a key piece of the Oracle Customer Experience (CX) strategy, RightNow will be integrated with Oracle Social Network, Oracle Commerce (ATG and Endeca), Oracle Knowledge, Oracle Policy Automation and, of course, further integration with Fusion Sales and Marketing. Look forward to seeing more on the Virtual Assistant, Smart Interaction Hub and Mobility. In addition to the roadmaps, I was looking forward to hearing from Oracle CRM customers. So, I sat in on two great Siebel customer panels: The Maximizing User Adoption Rates for Siebel Sales and Siebel Partner Relationship Management panel consisted of speakers from CSL Behring, McKesson and Intuit. It was great to get an overview of implementations for both B2B and B2C companies. It was great hearing that all of these companies have more than 1,000 sales users (Intuit has 4,000) and how the 360 degree view of the customer in Siebel is helping these customers improve their customers' experience (CX). They are all great examples of centralized implementations which have standardized processes across the globe and across business units.  Waste Management, Farmers Insurance and the US Citizenship & Immigration Services presented in the Driving Great Customer Experiences with Siebel Service Applications session. Talk about serving large customer bases! Is it possible that Farmers with only 10 million households is the smallest of these 3? All of them provided great examples of how they are improving the customer experience (CX) including 60-70% improvements in efficiency or reducing the number of applications the customer service reps (CSRs) need to use from 10 to 1 (Waste Management) and context aware call transfers to avoid the caller explaining their issue 3 times (USCIS). So that's my wrap up of only 4 sessions from Monday. In between sessions, I stopped by the Oracle DEMOgrounds and CRM Pavilion to visit with a group of great partners and see the products and partner integrations in action. Don't miss a recap of Mark Hurd's Keynote. I can't believe there were another 40+ sessions covering CRM, Fusion, Cloud, etc. that I missed today! Anyone else see any great sessions?

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