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  • SQL SERVER – Simple Example of Snapshot Isolation – Reduce the Blocking Transactions

    - by pinaldave
    To learn any technology and move to a more advanced level, it is very important to understand the fundamentals of the subject first. Today, we will be talking about something which has been quite introduced a long time ago but not properly explored when it comes to the isolation level. Snapshot Isolation was introduced in SQL Server in 2005. However, the reality is that there are still many software shops which are using the SQL Server 2000, and therefore cannot be able to maintain the Snapshot Isolation. Many software shops have upgraded to the later version of the SQL Server, but their respective developers have not spend enough time to upgrade themselves with the latest technology. “It works!” is a very common answer of many when they are asked about utilizing the new technology, instead of backward compatibility commands. In one of the recent consultation project, I had same experience when developers have “heard about it” but have no idea about snapshot isolation. They were thinking it is the same as Snapshot Replication – which is plain wrong. This is the same demo I am including here which I have created for them. In Snapshot Isolation, the updated row versions for each transaction are maintained in TempDB. Once a transaction has begun, it ignores all the newer rows inserted or updated in the table. Let us examine this example which shows the simple demonstration. This transaction works on optimistic concurrency model. Since reading a certain transaction does not block writing transaction, it also does not block the reading transaction, which reduced the blocking. First, enable database to work with Snapshot Isolation. Additionally, check the existing values in the table from HumanResources.Shift. ALTER DATABASE AdventureWorks SET ALLOW_SNAPSHOT_ISOLATION ON GO SELECT ModifiedDate FROM HumanResources.Shift GO Now, we will need two different sessions to prove this example. First Session: Set Transaction level isolation to snapshot and begin the transaction. Update the column “ModifiedDate” to today’s date. -- Session 1 SET TRANSACTION ISOLATION LEVEL SNAPSHOT BEGIN TRAN UPDATE HumanResources.Shift SET ModifiedDate = GETDATE() GO Please note that we have not yet been committed to the transaction. Now, open the second session and run the following “SELECT” statement. Then, check the values of the table. Please pay attention on setting the Isolation level for the second one as “Snapshot” at the same time when we already start the transaction using BEGIN TRAN. -- Session 2 SET TRANSACTION ISOLATION LEVEL SNAPSHOT BEGIN TRAN SELECT ModifiedDate FROM HumanResources.Shift GO You will notice that the values in the table are still original values. They have not been modified yet. Once again, go back to session 1 and begin the transaction. -- Session 1 COMMIT After that, go back to Session 2 and see the values of the table. -- Session 2 SELECT ModifiedDate FROM HumanResources.Shift GO You will notice that the values are yet not changed and they are still the same old values which were there right in the beginning of the session. Now, let us commit the transaction in the session 2. Once committed, run the same SELECT statement once more and see what the result is. -- Session 2 COMMIT SELECT ModifiedDate FROM HumanResources.Shift GO You will notice that it now reflects the new updated value. I hope that this example is clear enough as it would give you good idea how the Snapshot Isolation level works. There is much more to write about an extra level, READ_COMMITTED_SNAPSHOT, which we will be discussing in another post soon. If you wish to use this transaction’s Isolation level in your production database, I would appreciate your comments about their performance on your servers. I have included here the complete script used in this example for your quick reference. ALTER DATABASE AdventureWorks SET ALLOW_SNAPSHOT_ISOLATION ON GO SELECT ModifiedDate FROM HumanResources.Shift GO -- Session 1 SET TRANSACTION ISOLATION LEVEL SNAPSHOT BEGIN TRAN UPDATE HumanResources.Shift SET ModifiedDate = GETDATE() GO -- Session 2 SET TRANSACTION ISOLATION LEVEL SNAPSHOT BEGIN TRAN SELECT ModifiedDate FROM HumanResources.Shift GO -- Session 1 COMMIT -- Session 2 SELECT ModifiedDate FROM HumanResources.Shift GO -- Session 2 COMMIT SELECT ModifiedDate FROM HumanResources.Shift GO Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Transaction Isolation

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  • Session Report: What’s New in JSF: A Complete Tour of JSF 2.2

    - by Janice J. Heiss
    On Wednesday, Ed Burns, Consulting Staff Member at Oracle, presented a session, CON3870 -- “What’s New in JSF: A Complete Tour of JSF 2.2,” in which he provided an update on recent developments in JavaServer Faces 2.2. He began by emphasizing that, “JavaServer Faces 2.2 continues the evolution of the Java EE standard user interface technology. Like previous releases, this iteration is very community-driven and transparent.” He pointed out that since JSF was introduced at the 2001 JavaOne Keynote, it has had a long and successful run and has found a home in applications where the UI logic resides entirely on the server where the model and UI logic is. In such cases, the browser performs fairly simple functions. However, developers can take advantage of the power of browsers, something that Project Avatar is focused on by letting developers author their applications so the UI logic is running on the client and communicating to the back end via RESTful web services. “Most importantly,” remarked Burns, “JSF 2.2 offers a really good migration path because even in the scope of one application you could have an app written with JSF that has its UI logic on the server and, on a gradual basis, you could migrate parts of the app over to use client-side technologies. This can be done at any level of granularity – per page or per collection of pages. It all depends on what you want to do.” His presentation, which focused on the basic new features of JSF 2.2, began by restating the scope of JSF and encouraged attendees to check out Roger Kitain’s session: CON5133 “Techniques for Responsive Real-Time Web UIs.” Burns explained that JSF has endured because, “We still need web apps that are maintainable, localizable, quick to build, accessible, secure, look great and are fun to use.” It is used on every continent – the curious can go here to check out where its unofficial usage is tracked. He emphasized the significance of the UI logic being substantially on the server. This: Separates Component Semantics from Rendering, Allows components to “own” their little patch of the UI -- encode/decode, And offers a well-defined lifecycle: Inversion of Control. Burns reminded attendees that JSR-344, the spec for JSF 2.2, is now on Java Community Process 2.8, a revised version of the JCP that allows for more openness and transparency. He then offered some tools for community access to JSF 2.2:    * Public java.net projects spec http://jsf-spec.java.net/ impl http://jsf.java.net/ Open Source: GPL+Classpath Exception    * Mailing Lists [email protected]                                Public readable archive, JSPA signed member read/write [email protected]                                     Public readable archive, any java.net member read/write                         All mail sent to jsr344-experts is sent to users. * Issue Tracker spec http://jsf-spec.java.net/issues/ impl http://jsf.java.net/issues/ JSF 2.2, which is JSR 344, has a Public Review Draft planned by December 2012 with no need for a Renewal Ballot. The Early Draft Review of JSR 344 was published on December 8, 2011. Interested developers are encouraged to offer their input. Six Big Ticket Features of JSF 2.2 Burns summarized the six big ticket features of JSF 2.2:* HTML5 Friendly Markup Support Pass through attributes and elements * Faces Flows* Cross Site Request Forgery Protection* Loading Facelets via ResourceHandler* File Upload Component* Multi-Templating He explained that he called it “HTML 5 friendly” because there is really nothing HTML 5 specific about it -- it could be 4. But it enables developers to use new elements that are present in HTML5 without having a JSF component library that is written to take advantage of those specifically. It gives the page author the ability to use plain HTML5 to write their page, but to still take advantage of the server-side available in JSF. He presented a demo showing JSF 2.2’s ability to leverage the expressiveness of HTML5. Burns then explained the significance of face flows, which offer function points and quantify how much work has taken place, something of great value to JSF users. He went on to talk about JSF 2.2.’s cross-site request forgery protection (CSRF) and offered details about how it protects applications against attack. Then he talked about JSF 2.2’s File Upload Component and explained that the final specification will have Ajax and non-Ajax support. The current milestone has non-Ajax support implemented. He then went on to explain its capacity to add facelets through ResourceHandler. Previously, JSF 2.0 added Facelets and ResourceHandler as disparate units; now in JSF 2.2 the two concepts are unified. Finally, he explained the concept of multi-templating in JSF 2.2 and went on to discuss more medium-level features of the release. For an easy, low maintenance way of staying in touch with JSF developments go to JSF’s Twitter page where every month or so, important updates are offered.

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  • Database model for keeping track of likes/shares/comments on blog posts over time

    - by gage
    My goal is to keep track of the popular posts on different blog sites based on social network activity at any given time. The goal is not to simply get the most popular now, but instead find posts that are popular compared to other posts on the same blog. For example, I follow a tech blog, a sports blog, and a gossip blog. The tech blog gets waaay more readership than the other two blogs, so in raw numbers every post on the tech blog will always out number views on the other two. So lets say the average tech blog post gets 500 facebook likes and the other two get an average of 50 likes per post. Then when there is a sports blog post that has 200 fb likes and a gossip blog post with 300 while the tech blog posts today have 500 likes I want to highlight the sports and gossip blog posts (more likes than average vs tech blog with more # of likes but just average for the blog) The approach I am thinking of taking is to make an entry in a database for each blog post. Every x minutes (say every 15 minutes) I will check how many likes/shares/comments an entry has received on all the social networks (facebook, twitter, google+, linkeIn). So over time there will be a history of likes for each blog post, i.e post 1234 after 15 min: 10 fb likes, 4 tweets, 6 g+ after 30 min: 15 fb likes, 15 tweets, 10 g+ ... ... after 48 hours: 200 fb likes, 25 tweets, 15 g+ By keeping a history like this for each blog post I can know the average number of likes/shares/tweets at any give time interval. So for example the average number of fb likes for all blog posts 48hrs after posting is 50, and a particular post has 200 I can mark that as a popular post and feature/highlight it. A consideration in the design is to be able to easily query the values (likes/shares) for a specific time-frame, i.e. fb likes after 30min or tweets after 24 hrs in-order to compute averages with which to compare against (or should averages be stored in it's own table?) If this approach is flawed or could use improvement please let me know, but it is not my main question. My main question is what should a database scheme for storing this info look like? Assuming that the above approach is taken I am trying to figure out what a database schema for storing the likes over time would look like. I am brand new to databases, in doing some basic reading I see that it is advisable to make a 3NF database. I have come up with the following possible schema. Schema 1 DB Popular Posts Table: Post post_id ( primary key(pk) ) url title Table: Social Activity activity_id (pk) url (fk) type (i.e. facebook,twitter,g+) value timestamp This was my initial instinct (base on my very limited db knowledge). As far as I under stand this schema would be 3NF? I searched for designs of similar database model, and found this question on stackoverflow, http://stackoverflow.com/questions/11216080/data-structure-for-storing-height-and-weight-etc-over-time-for-multiple-users . The scenario in that question is similar (recording weight/height of users overtime). Taking the accepted answer for that question and applying it to my model results in something like: Schema 2 (same as above, but break down the social activity into 2 tables) DB Popular Posts Table: Post post_id (pk) url title Table: Social Measurement measurement_id (pk) post_id (fk) timestamp Table: Social stat stat_id (pk) measurement_id (fk) type (i.e. facebook,twitter,g+) value The advantage I see in schema 2 is that I will likely want to access all the values for a given time, i.e. when making a measurement at 30min after a post is published I will simultaneous check number of fb likes, fb shares, fb comments, tweets, g+, linkedIn. So with this schema it may be easier get get all stats for a measurement_id corresponding to a certain time, i.e. all social stats for post 1234 at time x. Another thought I had is since it doesn't make sense to compare number of fb likes with number of tweets or g+ shares, maybe it makes sense to separate each social measurement into it's own table? Schema 3 DB Popular Posts Table: Post post_id (pk) url title Table: fb_likes fb_like_id (pk) post_id (fk) timestamp value Table: fb_shares fb_shares_id (pk) post_id (fk) timestamp value Table: tweets tweets__id (pk) post_id (fk) timestamp value Table: google_plus google_plus_id (pk) post_id (fk) timestamp value As you can see I am generally lost/unsure of what approach to take. I'm sure this typical type of database problem (storing measurements overtime, i.e temperature statistic) that must have a common solution. Is there a design pattern/model for this, does it have a name? I tried searching for "database periodic data collection" or "database measurements over time" but didn't find anything specific. What would be an appropriate model to solve the needs of this problem?

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  • Using BPEL Performance Statistics to Diagnose Performance Bottlenecks

    - by fip
    Tuning performance of Oracle SOA 11G applications could be challenging. Because SOA is a platform for you to build composite applications that connect many applications and "services", when the overall performance is slow, the bottlenecks could be anywhere in the system: the applications/services that SOA connects to, the infrastructure database, or the SOA server itself.How to quickly identify the bottleneck becomes crucial in tuning the overall performance. Fortunately, the BPEL engine in Oracle SOA 11G (and 10G, for that matter) collects BPEL Engine Performance Statistics, which show the latencies of low level BPEL engine activities. The BPEL engine performance statistics can make it a bit easier for you to identify the performance bottleneck. Although the BPEL engine performance statistics are always available, the access to and interpretation of them are somewhat obscure in the early and current (PS5) 11G versions. This blog attempts to offer instructions that help you to enable, retrieve and interpret the performance statistics, before the future versions provides a more pleasant user experience. Overview of BPEL Engine Performance Statistics  SOA BPEL has a feature of collecting some performance statistics and store them in memory. One MBean attribute, StatLastN, configures the size of the memory buffer to store the statistics. This memory buffer is a "moving window", in a way that old statistics will be flushed out by the new if the amount of data exceeds the buffer size. Since the buffer size is limited by StatLastN, impacts of statistics collection on performance is minimal. By default StatLastN=-1, which means no collection of performance data. Once the statistics are collected in the memory buffer, they can be retrieved via another MBean oracle.as.soainfra.bpel:Location=[Server Name],name=BPELEngine,type=BPELEngine.> My friend in Oracle SOA development wrote this simple 'bpelstat' web app that looks up and retrieves the performance data from the MBean and displays it in a human readable form. It does not have beautiful UI but it is fairly useful. Although in Oracle SOA 11.1.1.5 onwards the same statistics can be viewed via a more elegant UI under "request break down" at EM -> SOA Infrastructure -> Service Engines -> BPEL -> Statistics, some unsophisticated minds like mine may still prefer the simplicity of the 'bpelstat' JSP. One thing that simple JSP does do well is that you can save the page and send it to someone to further analyze Follows are the instructions of how to install and invoke the BPEL statistic JSP. My friend in SOA Development will soon blog about interpreting the statistics. Stay tuned. Step1: Enable BPEL Engine Statistics for Each SOA Servers via Enterprise Manager First st you need to set the StatLastN to some number as a way to enable the collection of BPEL Engine Performance Statistics EM Console -> soa-infra(Server Name) -> SOA Infrastructure -> SOA Administration -> BPEL Properties Click on "More BPEL Configuration Properties" Click on attribute "StatLastN", set its value to some integer number. Typically you want to set it 1000 or more. Step 2: Download and Deploy bpelstat.war File to Admin Server, Note: the WAR file contains a JSP that does NOT have any security restriction. You do NOT want to keep in your production server for a long time as it is a security hazard. Deactivate the war once you are done. Download the bpelstat.war to your local PC At WebLogic Console, Go to Deployments -> Install Click on the "upload your file(s)" Click the "Browse" button to upload the deployment to Admin Server Accept the uploaded file as the path, click next Check the default option "Install this deployment as an application" Check "AdminServer" as the target server Finish the rest of the deployment with default settings Console -> Deployments Check the box next to "bpelstat" application Click on the "Start" button. It will change the state of the app from "prepared" to "active" Step 3: Invoke the BPEL Statistic Tool The BPELStat tool merely call the MBean of BPEL server and collects and display the in-memory performance statics. You usually want to do that after some peak loads. Go to http://<admin-server-host>:<admin-server-port>/bpelstat Enter the correct admin hostname, port, username and password Enter the SOA Server Name from which you want to collect the performance statistics. For example, SOA_MS1, etc. Click Submit Keep doing the same for all SOA servers. Step 3: Interpret the BPEL Engine Statistics You will see a few categories of BPEL Statistics from the JSP Page. First it starts with the overall latency of BPEL processes, grouped by synchronous and asynchronous processes. Then it provides the further break down of the measurements through the life time of a BPEL request, which is called the "request break down". 1. Overall latency of BPEL processes The top of the page shows that the elapse time of executing the synchronous process TestSyncBPELProcess from the composite TestComposite averages at about 1543.21ms, while the elapse time of executing the asynchronous process TestAsyncBPELProcess from the composite TestComposite2 averages at about 1765.43ms. The maximum and minimum latency were also shown. Synchronous process statistics <statistics>     <stats key="default/TestComposite!2.0.2-ScopedJMSOSB*soa_bfba2527-a9ba-41a7-95c5-87e49c32f4ff/TestSyncBPELProcess" min="1234" max="4567" average="1543.21" count="1000">     </stats> </statistics> Asynchronous process statistics <statistics>     <stats key="default/TestComposite2!2.0.2-ScopedJMSOSB*soa_bfba2527-a9ba-41a7-95c5-87e49c32f4ff/TestAsyncBPELProcess" min="2234" max="3234" average="1765.43" count="1000">     </stats> </statistics> 2. Request break down Under the overall latency categorized by synchronous and asynchronous processes is the "Request breakdown". Organized by statistic keys, the Request breakdown gives finer grain performance statistics through the life time of the BPEL requests.It uses indention to show the hierarchy of the statistics. Request breakdown <statistics>     <stats key="eng-composite-request" min="0" max="0" average="0.0" count="0">         <stats key="eng-single-request" min="22" max="606" average="258.43" count="277">             <stats key="populate-context" min="0" max="0" average="0.0" count="248"> Please note that in SOA 11.1.1.6, the statistics under Request breakdown is aggregated together cross all the BPEL processes based on statistic keys. It does not differentiate between BPEL processes. If two BPEL processes happen to have the statistic that share same statistic key, the statistics from two BPEL processes will be aggregated together. Keep this in mind when we go through more details below. 2.1 BPEL process activity latencies A very useful measurement in the Request Breakdown is the performance statistics of the BPEL activities you put in your BPEL processes: Assign, Invoke, Receive, etc. The names of the measurement in the JSP page directly come from the names to assign to each BPEL activity. These measurements are under the statistic key "actual-perform" Example 1:  Follows is the measurement for BPEL activity "AssignInvokeCreditProvider_Input", which looks like the Assign activity in a BPEL process that assign an input variable before passing it to the invocation:                                <stats key="AssignInvokeCreditProvider_Input" min="1" max="8" average="1.9" count="153">                                     <stats key="sensor-send-activity-data" min="0" max="1" average="0.0" count="306">                                     </stats>                                     <stats key="sensor-send-variable-data" min="0" max="0" average="0.0" count="153">                                     </stats>                                     <stats key="monitor-send-activity-data" min="0" max="0" average="0.0" count="306">                                     </stats>                                 </stats> Note: because as previously mentioned that the statistics cross all BPEL processes are aggregated together based on statistic keys, if two BPEL processes happen to name their Invoke activity the same name, they will show up at one measurement (i.e. statistic key). Example 2: Follows is the measurement of BPEL activity called "InvokeCreditProvider". You can not only see that by average it takes 3.31ms to finish this call (pretty fast) but also you can see from the further break down that most of this 3.31 ms was spent on the "invoke-service".                                  <stats key="InvokeCreditProvider" min="1" max="13" average="3.31" count="153">                                     <stats key="initiate-correlation-set-again" min="0" max="0" average="0.0" count="153">                                     </stats>                                     <stats key="invoke-service" min="1" max="13" average="3.08" count="153">                                         <stats key="prep-call" min="0" max="1" average="0.04" count="153">                                         </stats>                                     </stats>                                     <stats key="initiate-correlation-set" min="0" max="0" average="0.0" count="153">                                     </stats>                                     <stats key="sensor-send-activity-data" min="0" max="0" average="0.0" count="306">                                     </stats>                                     <stats key="sensor-send-variable-data" min="0" max="0" average="0.0" count="153">                                     </stats>                                     <stats key="monitor-send-activity-data" min="0" max="0" average="0.0" count="306">                                     </stats>                                     <stats key="update-audit-trail" min="0" max="2" average="0.03" count="153">                                     </stats>                                 </stats> 2.2 BPEL engine activity latency Another type of measurements under Request breakdown are the latencies of underlying system level engine activities. These activities are not directly tied to a particular BPEL process or process activity, but they are critical factors in the overall engine performance. These activities include the latency of saving asynchronous requests to database, and latency of process dehydration. My friend Malkit Bhasin is working on providing more information on interpreting the statistics on engine activities on his blog (https://blogs.oracle.com/malkit/). I will update this blog once the information becomes available. Update on 2012-10-02: My friend Malkit Bhasin has published the detail interpretation of the BPEL service engine statistics at his blog http://malkit.blogspot.com/2012/09/oracle-bpel-engine-soa-suite.html.

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  • Error caused by Dropbox in update manager

    - by Olivier Lalonde
    I am getting the following error message when the update manager runs: Apt Authentication issue Problem during package list update. The package list update failed with a authentication failure. This usually happens behind a network proxy server. Please try to click on the "Run this action now" button to correct the problem or update the list manually by running Update Manager and clicking on "Check". W: A error occurred during the signature verification. The repository is not updated and the previous index files will be used.GPG error: http://linux.dropbox.com lucid Release: The following signatures were invalid: NODATA 1 NODATA 2 W: Failed to fetch http://linux.dropbox.com/ubuntu/dists/lucid/Release W: Some index files failed to download, they have been ignored, or old ones used instead. This error started to appear recently and for no obvious reason (maybe because I created myself a private PGP key?). I'm running Dropbox v0.7.11 on Ubuntu Lucid 10.04.

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  • Watch a Tesla Coil Zap in “Bullet Time” [Video]

    - by Jason Fitzpatrick
    What happens when you take 10 cameras, hack their firmware, and rig them up in a Matrix-style “Bullet Time” array to capture a Tesla Coil blasting energy bolts? Pure video magic. Over at Hacker Friendly they took ten Canon A470s, hacked the firmware with the Canon CHDK firmware, and wired them all together into an arc to capture a Tesla coil in action. Watch the video below to see the results: Impressed? You can hit up the link below to see more photos and check out their code and schematics. Bullet Time Lightning [Hacker Friendly via Laughing Squid] How To Encrypt Your Cloud-Based Drive with BoxcryptorHTG Explains: Photography with Film-Based CamerasHow to Clean Your Dirty Smartphone (Without Breaking Something)

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  • Convert Video and Remove Commercials in Windows 7 Media Center with MCEBuddy 1.1

    - by DigitalGeekery
    Today look at MCEBuddy for Windows 7 Media Center. This handy app automatically takes your recorded TV files and converts them to MP4, AVI, WMV, or MPEG format. It even has the option to cut out those annoying commercials during the conversion process. Installation and Configuration Download and extract MCE Buddy. (Download link below) Run the setup.exe file and take all the default settings.   Open MCEBuddy Configuration by going to Start > All Programs > MCEBuddy > MCEBuddy Configuration.   Video Paths The MCEBuddy application is comprised of a single window. The first step you’ll want to take is to define your Source and Destination paths. The “Source” will most likely be your Recorded TV directory. The Destination should NOT be the same as the Source folder. Note: The Recorded TV directory in Windows 7 Media Center will only display and play WTV & DVR-MS files. To watch the converted MP4, AVI, WMV, or MPEG files in Windows Media Center you’ll need to add them to your Video Library or Movie Library. Video Conversion Next, choose your preferred format for conversion from the “Convert to” drop down list. The default is MP4 with the H.264 codec. You’ll find a wide variety of formats. The first set of conversion options in the drop down list will resize the video to 720 pixels wide. The next two sections maintain the original size, and the final section is for a variety of portable devices.   Next, you’ll see a group of check boxes below the “Convert to” drop down list. The Commercial Skipping option will cut the commercials while converting the file. Sort By Series will create a sub-folder in your Destination folder for each TV show. Delete Original will delete the WTV file after conversion is complete. (This option is not recommended unless you are sure your files are converting properly and you no longer need the WTV file.) Start Minimized is ideal if you want to run MCEBuddy on Windows startup. Note: MCEBuddy installs and uses Comskip for commercial cutting by default. However, if you have ShowAnalyzer installed, it will use that application instead. Advanced Options To choose a specific time of day to perform the conversions, click the checkbox under the “Advanced Options,” and select the starting and ending times for conversion. For example, convert between 2 hours and 5 hours would be between 2 am and 5am. If you want MCEBuddy to constantly look for and immediately convert new recordings, leave the box unchecked.   The “Video age” option lets you choose a specific number of days to wait before performing the conversion. This can be useful if you want to watch the recordings first and delete those you don’t wish to convert. You can also choose the “Sub Directories” if you’d like MCEBuddy to convert files that are in a sub-folder in your “Source” directory. Second Conversion As you might expect, this option allows MCEBuddy to perform a second conversion of your file. This can be useful if you want to use your first conversion to create a higher quality MP4 or AVI file for playback on a larger screen, and a second one for a portable device such as Zune or iPhone. The same options from the first conversion are also available for the second. You’ll want to choose a separate Destination folder for the second conversion.   Start and Monitor Progress To start converting your video files, simply press the “Start” button at the bottom. You’ll be able to follow the progress in the “Current Activity” section. When all the video files have finished converting, or there are no current files to convert, MCEBuddy will display a “Started – Idle” status. Click “Stop” if you don’t want MCEBuddy to continue scanning for new files.   Conclusion MCEBuddy 1.1 will convert all WTV files in it’s source folder. If you want to pick and choose which recordings to convert, you may want to define a source folder different than the Recorded TV folder and then just copy or move the files you wish to convert into the new source folder. The conversion process does take a good bit of time. If you choose the commercial skipping and second conversion options it can take several hours to fully convert one TV recording. Overall, MCEBuddy makes a nice Media Center addition for those that want to save some space with smaller size files, convert Recorded TV files for their portable device, or automatically remove commercials. If you’re looking for a different method to skip commercials check out our post on how to skip commercials in Windows 7 Media Center. Download MCEBuddy 1.1 Similar Articles Productive Geek Tips Using Netflix Watchnow in Windows Vista Media Center (Gmedia)How To Skip Commercials in Windows 7 Media CenterHow To Convert Video Files to MP3 with VLCStartup Customizations for Media Center in Windows 7Add Folders to the Movie Library in Windows 7 Media Center 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 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 PCmover Professional The Ultimate Excel Cheatsheet Convert the Quick Launch Bar into a Super Application Launcher Automate Tasks in Linux with Crontab Discover New Bundled Feeds in Google Reader Play Music in Chrome by Simply Dragging a File 15 Great Illustrations by Chow Hon Lam

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  • Visio 2010 forward engineer add-in for office 2010

    - by Ryan Ternier
    I have been scouring the internet for ages trying to see if there was a usable add-on for Visio 2010 that could export SQL Scripts. MS stopping putting that functionality in Visio since 2003 – which is a huge shame. Today I found an open source project from Alberto Ferrari. It’s an add-in for Visio 2010 that allows you to generate SQL Scripts from your DB diagram. It’s still in beta, and the source is available.   Check it out here:http://sqlblog.com/blogs/alberto_ferrari/archive/2010/04/16/visio-forward-engineer-addin-for-office-2010.aspx This saves me from having to do all my diagramming in SQL Server / VS 2010. And brings back the much needed functionality that has been lost.

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  • Nokia’s First Windows Phone Video Surfaces On Web–Elop Demos It To Small Gathering

    - by Gopinath
    Stephen Elop, the CEO of troubled mobile giant Nokia shows off their first Windows Phone to a small gathering. The mobile is codenamed as “Sea Ray” and it runs on Microsoft’s newly released Windows Phone version – Mango. While showcasing the phone Elop requested everyone to turn off their cameras but as usual someone ignored it, recorded the keynote and published it to YouTube. The device looks very similar to the recently released Nokia N9 but comes with an extra button on the sides. Every Windows Phone released so far had three hardware buttons on the front (Home, Search and Back), but the Nokia’s phone have three buttons on the side. Check the embedded video of Elop showcasing Nokia’s first Windows Phone This article titled,Nokia’s First Windows Phone Video Surfaces On Web–Elop Demos It To Small Gathering, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

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  • "Operation System not found" Dell XPS 15Z L511Z

    - by akikara
    Although title is the same problem is different. I've installed Ubuntu 14.04 Trusty on my HP EliteBook 6930p Notebook. And I was trying to create a bootable usb for my DELL XPS 15z. After successful creation of usb with usb-creator-gtk I plugged in bootable usb stick to DELL laptop. The error message was "Operation System not found". I tried several things but could not make it. When I check from working Ubuntu, I can see that usb is bootable and has files for installation.

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  • Compress Large Video Files with DivX / Xvid and AutoGK

    - by DigitalGeekery
    Have you ever recorded home video on a camcorder only to find the video size is enormous? What if you wanted to share a video clip on YouTube or another video sharing site, but the file size was bigger than the maximum upload size? Today we’ll look at a way to compress certain video files, such as MPEG and AVI, with Auto Gordian Knot (AutoGK). AutoGK is a free application that runs on Windows. It supports Mpeg1, Mpeg2, Transport Streams, Vobs, and virtually any codec used for an .AVI file. AutoGK will accept as input the following file types: MPG, MPEG, VOB, VRO, M2V, DAT, IFO, TS, TP, TRP, M2T, and AVI. Files are output as .AVI files and are converted using the DivX or XviD codecs. Installing and Using AutoGK Download and install AutoGK (link below) Open the AutoGK. You’ll need to navigate a few wizard screens, but you can just accept the defaults.   Choose your video file by clicking on the folder to the right of the Input file text box.   Browse for and select your video file and click “Open.”   For this example, we’ll be working with an .AVI file that’s 167MB in size.   The output file is copied into the same directory as the input file by default, but you can change this if you choose. If the input file is also .AVI, AutoGK will append an _agk to the output file so that the original is not overwritten. Next, you’ll see any audio tracks listed. You can unselect the check box if you’d like to remove the audio track. You can choose one of the Predefined size options… Or, select a Custom size in MB or Target Quality in percentage. For our example, we’ll be compressing our 167MB file to 35MB. Click on Advanced Settings. Here you can choose your codec, if you have a preference, as well as output resolution and output audio. If you’d like to use the DivX codec, you’ll need to download and install it separately. (See link below) Typically you’ll want to keep the defaults. Click “OK.” Now you’re ready to add your file conversion job to the Job queue. Click Add Job to add it to the queue. You can add multiple files conversions to the job queue and  convert them in one batch. Click Start to begin the conversion process. The process will begin. You’ll be able to see the progress in the Log window on the bottom left. When the conversion is complete you’ll see a “Job finished” and the total time in the log window.   Check your output file to see it’s compressed size. Test your video just to make sure the output quality is satisfactory.   Note:  Conversion times can vary greatly depending on the size of the file and your computer hardware. Files that are several GBs in size may take several hours to compress. AutoGK is no longer being actively developed but is still a wonderful DivX/XviD conversion tool. It can also be used to compress and convert non-copy protected DVDs. Downloads AutoGordianKnot DivX (optional) Similar Articles Productive Geek Tips Use Your Mac Mini as a Media Server Part 2Make Disk Cleanup Compress Older(or Newer) Files on XPMysticgeek Blog: Exclusive Look Inside Vreel – Including Interview With Vreel Founder!Friday Fun: Watch HD Video Content with MeevidConvert a DVD Movie Directly to AVI with FairUse Wizard 2.9 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 Penolo Lets You Share Sketches On Twitter Visit Woolyss.com for Old School Games, Music and Videos Add a Custom Title in IE using Spybot or Spyware Blaster When You Need to Hail a Taxi in NYC Live Map of Marine Traffic NoSquint Remembers Site Specific Zoom Levels (Firefox)

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  • nagios check_ping: Invalid hostname/address

    - by lgt
    I'm trying to setup nagios for a host what has the following webroot: www.example.com/ui/html/, but nagios won't accept as host this kind of host path check_ping: Invalid hostname/address. Is there a workaround for this issue? # Define a host for the local machine define host{ use linux-server ; Name of host template to use ; This host definition will inherit all variables that are defined ; in (or inherited by) the linux-server host template definition. host_name example.com/ui/html alias example.com/ui/html address www.example.com/ui/html/ } ############################################################################### ############################################################################### # # SERVICE DEFINITIONS # ############################################################################### ############################################################################### # Define a service to check HTTP on the local machine. # Disable notifications for this service by default, as not all users may have HTTP enabled. define service{ use generic-service name http-service service_description HTTP is_volatile 0 check_period 24x7 max_check_attempts 3 normal_check_interval 5 retry_check_interval 1 notifications_enabled 1 notification_interval 0 notification_period 24x7 notification_options c,r check_command check_http!$HOSTADDRESS$ register 0 } Thanks

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  • SQL SERVER – Advanced Data Quality Services with Melissa Data – Azure Data Market

    - by pinaldave
    There has been much fanfare over the new SQL Server 2012, and especially around its new companion product Data Quality Services (DQS). Among the many new features is the addition of this integrated knowledge-driven product that enables data stewards everywhere to profile, match, and cleanse data. In addition to the homegrown rules that data stewards can design and implement, there are also connectors to third party providers that are hosted in the Azure Datamarket marketplace.  In this review, I leverage SQL Server 2012 Data Quality Services, and proceed to subscribe to a third party data cleansing product through the Datamarket to showcase this unique capability. Crucial Questions For the purposes of the review, I used a database I had in an Excel spreadsheet with name and address information. Upon a cursory inspection, there are miscellaneous problems with these records; some addresses are missing ZIP codes, others missing a city, and some records are slightly misspelled or have unparsed suites. With DQS, I can easily add a knowledge base to help standardize my values, such as for state abbreviations. But how do I know that my address is correct? And if my address is not correct, what should it be corrected to? The answer lies in a third party knowledge base by the acknowledged USPS certified address accuracy experts at Melissa Data. Reference Data Services Within DQS there is a handy feature to actually add reference data from many different third-party Reference Data Services (RDS) vendors. DQS simplifies the processes of cleansing, standardizing, and enriching data through custom rules and through service providers from the Azure Datamarket. A quick jump over to the Datamarket site shows me that there are a handful of providers that offer data directly through Data Quality Services. Upon subscribing to these services, one can attach a DQS domain or composite domain (fields in a record) to a reference data service provider, and begin using it to cleanse, standardize, and enrich that data. Besides what I am looking for (address correction and enrichment), it is possible to subscribe to a host of other services including geocoding, IP address reference, phone checking and enrichment, as well as name parsing, standardization, and genderization.  These capabilities extend the data quality that DQS has natively by quite a bit. For my current address correction review, I needed to first sign up to a reference data provider on the Azure Data Market site. For this example, I used Melissa Data’s Address Check Service. They offer free one-month trials, so if you wish to follow along, or need to add address quality to your own data, I encourage you to sign up with them. Once I subscribed to the desired Reference Data Provider, I navigated my browser to the Account Keys within My Account to view the generated account key, which I then inserted into the DQS Client – Configuration under the Administration area. Step by Step to Guide That was all it took to hook in the subscribed provider -Melissa Data- directly to my DQS Client. The next step was for me to attach and map in my Reference Data from the newly acquired reference data provider, to a domain in my knowledge base. On the DQS Client home screen, I selected “New Knowledge Base” under Knowledge Base Management on the left-hand side of the home screen. Under New Knowledge Base, I typed a Name and description of my new knowledge base, then proceeded to the Domain Management screen. Here I established a series of domains (fields) and then linked them all together as a composite domain (record set). Using the Create Domain button, I created the following domains according to the fields in my incoming data: Name Address Suite City State Zip I added a Suite column in my domain because Melissa Data has the ability to return missing Suites based on last name or company. And that’s a great benefit of using these third party providers, as they have data that the data steward would not normally have access to. The bottom line is, with these third party data providers, I can actually improve my data. Next, I created a composite domain (fulladdress) and added the (field) domains into the composite domain. This essentially groups our address fields together in a record to facilitate the full address cleansing they perform. I then selected my newly created composite domain and under the Reference Data tab, added my third party reference data provider –Melissa Data’s Address Check- and mapped in each domain that I had to the provider’s Schema. Now that my composite domain has been married to the Reference Data service, I can take the newly published knowledge base and create a project to cleanse and enrich my data. My next task was to create a new Data Quality project, mapping in my data source and matching it to the appropriate domain column, and then kick off the verification process. It took just a few minutes with some progress indicators indicating that it was working. When the process concluded, there was a helpful set of tabs that place the response records into categories: suggested; new; invalid; corrected (automatically); and correct. Accepting the suggestions provided by  Melissa Data allowed me to clean up all the records and flag the invalid ones. It is very apparent that DQS makes address data quality simplistic for any IT professional. Final Note As I have shown, DQS makes data quality very easy. Within minutes I was able to set up a data cleansing and enrichment routine within my data quality project, and ensure that my address data was clean, verified, and standardized against real reference data. As reviewed here, it’s easy to see how both SQL Server 2012 and DQS work to take what used to require a highly skilled developer, and empower an average business or database person to consume external services and clean data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL, Technology Tagged: DQS

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  • Best criteria for choosing a DNS provider : Redundancy, Locations, Cost, IPV6, Reliability

    - by antoinet
    What criteria should I use to choose a good DNS provider? Redundancy - Your DNS service should use at least 4 nameservers. You should also check for the use of anycast servers such as Amazon Route 53 and dyn.com services. Worldwide server location - Servers shall be located worldwide, not just in one country! Ipv6 support - It shall be possible to declare an AAAA entry to your server if it supports IPV6 Cost is of course an issue. Some service are free, Amazon Route 53 seems quite cheap. Reliability : SLA is also important, it demonstrate that reliability is measured. Your dns provider shall then state for a refund in case a failure is encountered. Anything else? For reference, a couple of links for more information: http://serverfault.com/questions/216330/why-should-i-use-amazon-route-53-over-my-registrars-dns-servers http://aws.amazon.com/route53/ http://dyn.com/dns/

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  • SpaceX’s Dragon Spacecraft Docks with the ISS [Video]

    - by Jason Fitzpatrick
    This weekend was the first time a commercial space craft successfully rendezvoused with the International Space Station. Check out this video to see the opening of the hatch. From the notes on NASA’s video release: Aboard the International Space Station, Expedition 31 Flight Engineer Don Pettit and Joe Acaba of NASA and European Space Agency Flight Engineer Andre Kuipers opened the hatch to SpaceX’s Dragon cargo craft and entered the vehicle May 26, one day after the world’s first commercial cargo spacecraft was berthed to the Earth-facing port of the Harmony module. Dragon will remain berthed to Harmony until May 31, enabling the crew to unload supplies for the station’s residents before it is re-grappled and released to return to Earth for a parachute-assisted splashdown in the Pacific Ocean off the coast of southern California. If you’re interested in learning more about the SpaceX program, hit up the link below. SpaceX How To Customize Your Wallpaper with Google Image Searches, RSS Feeds, and More 47 Keyboard Shortcuts That Work in All Web Browsers How To Hide Passwords in an Encrypted Drive Even the FBI Can’t Get Into

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  • CRM@Oracle Series: Showcasing Innovation with Oracle Customer Hub

    - by tony.berk
    When is having too many customers a challenge? It is not something too many people would complain about. But from a data perspective, one challenge is to keep each customer's data consistent across multiple enterprise systems such as CRM, ERP, and all of your other related applications. Buckle your seat belts, we are going a bit technical today... If you have ever tried it, you know it isn't easy. If you haven't, don't go there alone! Customer data integration projects are challenging and, depending on the environment, require sharp, innovative people to succeed. Want to hear from some guys who have done it and succeeded? Here is an interview with Dan Lanir and Afzal Asif from Oracle's Applications IT CRM Systems group on implementing Oracle Customer Hub and innovation. For more interesting discussions on innovation, check out the Oracle Innovation Showcase.

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  • Ask the Readers: What’s Powering Your Media Center?

    - by Jason Fitzpatrick
    Whether your media center is laptop you occasionally plug into your television or a whole-house arrangement of computers with a home server dishing up the movies and music, we want to hear about your media center system and what you have installed on it. With the recent release of XBMC 11.0 Eden, we have media centers on the brain. This week we want to hear all about your home media center solutions. What kind of hardware and software are you using? How do you have things configured? What tweaks have you applied to your media center to improve your experience? Sound off in the comments with your media center knowledge and then check back on Friday for the What You Said roundup! What’s the Difference Between Sleep and Hibernate in Windows? Screenshot Tour: XBMC 11 Eden Rocks Improved iOS Support, AirPlay, and Even a Custom XBMC OS How To Be Your Own Personal Clone Army (With a Little Photoshop)

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  • What does "[IN-USE] account is locked by another session or for maintenance, try again." mean?

    - by John
    I'm in the process of migrating a computer from Windows To Ubuntu. I followed these instructions to move my Thunderbird emails over. The emails that I moved show up, but when I try to check for new emails I get this message: Sending of password did not succeed. Mail server pop.windstream.net responded: [IN-USE] account is locked by another session or for maintenance, try again. I click OK and another box pops up saying: Login to server pop.windstream.net failed. With 3 options: "Enter new password" (I'm SURE the one I'm typing is correct) "Cancel" "Retry" I've tried all 3. Retyping my password, clicking "Retry", same result. While I was typing this, I got a toast that said: Thunderbird's attempt to connect to pop.windstream.net has timed out. What is causing this and how can I fix it?

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  • Identifier for the “completed” stage of a process: 0, 99, something else?

    - by Arnold Sakhnov
    Say, that you are handling a multi-step process (like a complex registration form, with a number of steps the user has go through in order). You need to be able to save the current state of the process (e.g. so the user can come back to that registration form later and continue form the step where they were left off). Obviously, you’ll probably want to give each “step” an identifier you can refer to: 1, 2, 3, 4, etc. You logic will check for this step_id (or whatever you call it) to render the appropriate data. The question: how would you identify the stage after the final step, like the completed registration state (say, that you have to give that last “step” its own id, that’s how your logic is structured). Would it be a 0, 999, a non-integer value, something else entirely?

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  • Secret Server 7.3 released – store your team’s passwords securely.

    - by thycotic
    The Thycotic team just recently released 7.3 of our enterprise password management system.  The main improvement was the UI – we used lots of jQuery to make a Dashboard-like interface that allows you to create tabs, drag widgets, add/remove widgets etc.  This was a great face lift for a tool that is already the cornerstone for password management in many IT departments. Check out a few videos that show off the new stuff.   Jonathan Cogley is the CEO of Thycotic Software, an agile software services and product development company based in Washington DC.  Secret Server is our flagship enterprise password manager.

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  • QotD: Alex Buckley announcing Java™ SE 8 Early Access Builds with Type Annotation Support

    - by $utils.escapeXML($entry.author)
    I am pleased to announce that binary builds of the JSR 308 Reference Implementation are available at http://jdk8.java.net/type-annotations/.Please see the Type Annotations project page for a link to the JSR 308 Specification. There is also a changelog, which is important to review as there have been significant spec changes in 2012.The builds were generated from the type-annotations/type-annotations forest on 9/9. This forest is regularly updated from jdk8/jdk8 and jdk8/tl.Alex Buckley in a post on the type-annotations-dev mailing list.If you want to play with repeating annotations, check out http://jdk8.java.net/type-annotations/ ... thanks to superior code wrangling by Joel Franck (repeating annotations) and Werner Dietl (type annotations), support for repeating annotations on declarations is included in the build.Alex Buckley in a post on the enhanced-metadata-spec-discuss mailing list.

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  • SQL SERVER – Simple Example of Snapshot Isolation – Reduce the Blocking Transactions

    - by pinaldave
    To learn any technology and move to a more advanced level, it is very important to understand the fundamentals of the subject first. Today, we will be talking about something which has been quite introduced a long time ago but not properly explored when it comes to the isolation level. Snapshot Isolation was introduced in SQL Server in 2005. However, the reality is that there are still many software shops which are using the SQL Server 2000, and therefore cannot be able to maintain the Snapshot Isolation. Many software shops have upgraded to the later version of the SQL Server, but their respective developers have not spend enough time to upgrade themselves with the latest technology. “It works!” is a very common answer of many when they are asked about utilizing the new technology, instead of backward compatibility commands. In one of the recent consultation project, I had same experience when developers have “heard about it” but have no idea about snapshot isolation. They were thinking it is the same as Snapshot Replication – which is plain wrong. This is the same demo I am including here which I have created for them. In Snapshot Isolation, the updated row versions for each transaction are maintained in TempDB. Once a transaction has begun, it ignores all the newer rows inserted or updated in the table. Let us examine this example which shows the simple demonstration. This transaction works on optimistic concurrency model. Since reading a certain transaction does not block writing transaction, it also does not block the reading transaction, which reduced the blocking. First, enable database to work with Snapshot Isolation. Additionally, check the existing values in the table from HumanResources.Shift. ALTER DATABASE AdventureWorks SET ALLOW_SNAPSHOT_ISOLATION ON GO SELECT ModifiedDate FROM HumanResources.Shift GO Now, we will need two different sessions to prove this example. First Session: Set Transaction level isolation to snapshot and begin the transaction. Update the column “ModifiedDate” to today’s date. -- Session 1 SET TRANSACTION ISOLATION LEVEL SNAPSHOT BEGIN TRAN UPDATE HumanResources.Shift SET ModifiedDate = GETDATE() GO Please note that we have not yet been committed to the transaction. Now, open the second session and run the following “SELECT” statement. Then, check the values of the table. Please pay attention on setting the Isolation level for the second one as “Snapshot” at the same time when we already start the transaction using BEGIN TRAN. -- Session 2 SET TRANSACTION ISOLATION LEVEL SNAPSHOT BEGIN TRAN SELECT ModifiedDate FROM HumanResources.Shift GO You will notice that the values in the table are still original values. They have not been modified yet. Once again, go back to session 1 and begin the transaction. -- Session 1 COMMIT After that, go back to Session 2 and see the values of the table. -- Session 2 SELECT ModifiedDate FROM HumanResources.Shift GO You will notice that the values are yet not changed and they are still the same old values which were there right in the beginning of the session. Now, let us commit the transaction in the session 2. Once committed, run the same SELECT statement once more and see what the result is. -- Session 2 COMMIT SELECT ModifiedDate FROM HumanResources.Shift GO You will notice that it now reflects the new updated value. I hope that this example is clear enough as it would give you good idea how the Snapshot Isolation level works. There is much more to write about an extra level, READ_COMMITTED_SNAPSHOT, which we will be discussing in another post soon. If you wish to use this transaction’s Isolation level in your production database, I would appreciate your comments about their performance on your servers. I have included here the complete script used in this example for your quick reference. ALTER DATABASE AdventureWorks SET ALLOW_SNAPSHOT_ISOLATION ON GO SELECT ModifiedDate FROM HumanResources.Shift GO -- Session 1 SET TRANSACTION ISOLATION LEVEL SNAPSHOT BEGIN TRAN UPDATE HumanResources.Shift SET ModifiedDate = GETDATE() GO -- Session 2 SET TRANSACTION ISOLATION LEVEL SNAPSHOT BEGIN TRAN SELECT ModifiedDate FROM HumanResources.Shift GO -- Session 1 COMMIT -- Session 2 SELECT ModifiedDate FROM HumanResources.Shift GO -- Session 2 COMMIT SELECT ModifiedDate FROM HumanResources.Shift GO Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Transaction Isolation

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  • John Burke's Weclome to the Applications Strategy Blog

    - by Tony Ouk
    Hi I'm John Burke and I'm the group Vice President of Oracle's Applications Business Unit.  Thanks for stopping by our Applications blog today.  The purpose of this site is to provide you, our customers, with timely, relevant, and balanced information about the state of the applications business, both here at Oracle and industry-wide. So on this site, you'll find information about Oracle's application products, how our customers have used those products to transform their businesses, and general industry trends which might help you craft YOUR applications roadmap.  So right now I'm walking to meet with one of Oracle's development executives.  I also plan to talk to Oracle customers and leading industry analysts.  I plan to provide a complete and balanced view of the total applications landscape.  I hope you check back often and view our updates.

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  • New Supply Chain, S&OP, & TPM Analyst Reports from Gartner, IDC Now Available

    - by Mike Liebson
    Check out these analyst reports Oracle has recently made available for customers and partners on Oracle.com: Gartner:  MarketScope for Stage 3 Sales and Operations Planning  -  Gartner lead supply chain planning analyst, Tim Payne, discusses the evolving definition of S&OP, the Gartner S&OP maturity model, and recommendations for selecting S&OP technology solutions. Gartner: Vendor Panorama for Trade Promotion Management in Consumer Goods  -  Consumer goods analyst, Dale Hagemeyer, presents an overview of the TPM market, followed by an analysis of vendor offerings. IDC:  Perspective: Oracle OpenWorld 2012 — Supply Chain as a Focus  -  Supply chain analyst, Simon Ellis, discusses supply chain highlights from the October OpenWorld conference. Value Chain Planning highlights include the VCP product roadmap and demand sensing presentations by Electronic Arts (Demantra) and Sony (Demand Signal Repository). For a complete set of analyst reports, visit here.

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  • HTC Legend get’s 2.2 Froyo update – India

    - by Boonei
    HTC Legend started to received 2.2 Froyo update from yesterday night. If you did not receive an automatic update prompt, please check the same manually in your phone, I am pretty sure you will get it now. Ok, lets get into business Good news Update went off smooth – over Wi-Fi App’s like, Flash light, App sharing, easy adding of attachments in sms, etc are part of update Google Maps 5.0 [But no 3D view] Much awaited Good voice with full integration with the phone!!!! Flash 10 Now for really bad news Phone seems to slow down a lot, that’s not something that we really want New browser with the Froyo update does not seems be all that good as the one installed already Since phone is little sluggish, the really smooth touch effects seem to be bad! This article titled,HTC Legend get’s 2.2 Froyo update – India, was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

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