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• SQL SERVER – Parsing SSIS Catalog Messages – Notes from the Field #030

  - by Pinal Dave

  [Note from Pinal]: This is a new episode of Notes from the Field series. SQL Server Integration Service (SSIS) is one of the most key essential part of the entire Business Intelligence (BI) story. It is a platform for data integration and workflow applications. The tool may also be used to automate maintenance of SQL Server databases and updates to multidimensional cube data. In this episode of the Notes from the Field series I requested SSIS Expert Andy Leonard to discuss one of the most interesting concepts of SSIS Catalog Messages. There are plenty of interesting and useful information captured in the SSIS catalog and we will learn together how to explore the same. The SSIS Catalog captures a lot of cool information by default. Here’s a query I use to parse messages from the catalog.operation_messages table in the SSISDB database, where the logged messages are stored. This query is set up to parse a default message transmitted by the Lookup Transformation. It’s one of my favorite messages in the SSIS log because it gives me excellent information when I’m tuning SSIS data flows. The message reads similar to: Data Flow Task:Information: The Lookup processed 4485 rows in the cache. The processing time was 0.015 seconds. The cache used 1376895 bytes of memory. The query: USE SSISDB GO DECLARE @MessageSourceType INT = 60 DECLARE @StartOfIDString VARCHAR(100) = 'The Lookup processed ' DECLARE @ProcessingTimeString VARCHAR(100) = 'The processing time was ' DECLARE @CacheUsedString VARCHAR(100) = 'The cache used ' DECLARE @StartOfIDSearchString VARCHAR(100) = '%' + @StartOfIDString + '%' DECLARE @ProcessingTimeSearchString VARCHAR(100) = '%' + @ProcessingTimeString + '%' DECLARE @CacheUsedSearchString VARCHAR(100) = '%' + @CacheUsedString + '%' SELECT operation_id , SUBSTRING(MESSAGE, (PATINDEX(@StartOfIDSearchString,MESSAGE) + LEN(@StartOfIDString) + 1), ((CHARINDEX(' ', MESSAGE, PATINDEX(@StartOfIDSearchString,MESSAGE) + LEN(@StartOfIDString) + 1)) - (PATINDEX(@StartOfIDSearchString, MESSAGE) + LEN(@StartOfIDString) + 1))) AS LookupRowsCount , SUBSTRING(MESSAGE, (PATINDEX(@ProcessingTimeSearchString,MESSAGE) + LEN(@ProcessingTimeString) + 1), ((CHARINDEX(' ', MESSAGE, PATINDEX(@ProcessingTimeSearchString,MESSAGE) + LEN(@ProcessingTimeString) + 1)) - (PATINDEX(@ProcessingTimeSearchString, MESSAGE) + LEN(@ProcessingTimeString) + 1))) AS LookupProcessingTime , CASE WHEN (CONVERT(numeric(3,3),SUBSTRING(MESSAGE, (PATINDEX(@ProcessingTimeSearchString,MESSAGE) + LEN(@ProcessingTimeString) + 1), ((CHARINDEX(' ', MESSAGE, PATINDEX(@ProcessingTimeSearchString,MESSAGE) + LEN(@ProcessingTimeString) + 1)) - (PATINDEX(@ProcessingTimeSearchString, MESSAGE) + LEN(@ProcessingTimeString) + 1))))) = 0 THEN 0 ELSE CONVERT(bigint,SUBSTRING(MESSAGE, (PATINDEX(@StartOfIDSearchString,MESSAGE) + LEN(@StartOfIDString) + 1), ((CHARINDEX(' ', MESSAGE, PATINDEX(@StartOfIDSearchString,MESSAGE) + LEN(@StartOfIDString) + 1)) - (PATINDEX(@StartOfIDSearchString, MESSAGE) + LEN(@StartOfIDString) + 1)))) / CONVERT(numeric(3,3),SUBSTRING(MESSAGE, (PATINDEX(@ProcessingTimeSearchString,MESSAGE) + LEN(@ProcessingTimeString) + 1), ((CHARINDEX(' ', MESSAGE, PATINDEX(@ProcessingTimeSearchString,MESSAGE) + LEN(@ProcessingTimeString) + 1)) - (PATINDEX(@ProcessingTimeSearchString, MESSAGE) + LEN(@ProcessingTimeString) + 1)))) END AS LookupRowsPerSecond , SUBSTRING(MESSAGE, (PATINDEX(@CacheUsedSearchString,MESSAGE) + LEN(@CacheUsedString) + 1), ((CHARINDEX(' ', MESSAGE, PATINDEX(@CacheUsedSearchString,MESSAGE) + LEN(@CacheUsedString) + 1)) - (PATINDEX(@CacheUsedSearchString, MESSAGE) + LEN(@CacheUsedString) + 1))) AS LookupBytesUsed ,CASE WHEN (CONVERT(bigint,SUBSTRING(MESSAGE, (PATINDEX(@StartOfIDSearchString,MESSAGE) + LEN(@StartOfIDString) + 1), ((CHARINDEX(' ', MESSAGE, PATINDEX(@StartOfIDSearchString,MESSAGE) + LEN(@StartOfIDString) + 1)) - (PATINDEX(@StartOfIDSearchString, MESSAGE) + LEN(@StartOfIDString) + 1)))))= 0 THEN 0 ELSE CONVERT(bigint,SUBSTRING(MESSAGE, (PATINDEX(@CacheUsedSearchString,MESSAGE) + LEN(@CacheUsedString) + 1), ((CHARINDEX(' ', MESSAGE, PATINDEX(@CacheUsedSearchString,MESSAGE) + LEN(@CacheUsedString) + 1)) - (PATINDEX(@CacheUsedSearchString, MESSAGE) + LEN(@CacheUsedString) + 1)))) / CONVERT(bigint,SUBSTRING(MESSAGE, (PATINDEX(@StartOfIDSearchString,MESSAGE) + LEN(@StartOfIDString) + 1), ((CHARINDEX(' ', MESSAGE, PATINDEX(@StartOfIDSearchString,MESSAGE) + LEN(@StartOfIDString) + 1)) - (PATINDEX(@StartOfIDSearchString, MESSAGE) + LEN(@StartOfIDString) + 1)))) END AS LookupBytesPerRow FROM [catalog].[operation_messages] WHERE message_source_type = @MessageSourceType AND MESSAGE LIKE @StartOfIDSearchString GO Note that you have to set some parameter values: @MessageSourceType [int] – represents the message source type value from the following results: Value     Description 10           Entry APIs, such as T-SQL and CLR Stored procedures 20           External process used to run package (ISServerExec.exe) 30           Package-level objects 40           Control Flow tasks 50           Control Flow containers 60           Data Flow task 70           Custom execution message Note: Taken from Reza Rad’s (excellent!) helper.MessageSourceType table found here. @StartOfIDString [VarChar(100)] – use this to uniquely identify the message field value you wish to parse. In this case, the string ‘The Lookup processed ‘ identifies all the Lookup Transformation messages I desire to parse. @ProcessingTimeString [VarChar(100)] – this parameter is message-specific. I use this parameter to specifically search the message field value for the beginning of the Lookup Processing Time value. For this execution, I use the string ‘The processing time was ‘. @CacheUsedString [VarChar(100)] – this parameter is also message-specific. I use this parameter to specifically search the message field value for the beginning of the Lookup Cache  Used value. It returns the memory used, in bytes. For this execution, I use the string ‘The cache used ‘. The other parameters are built from variations of the parameters listed above. The query parses the values into text. The string values are converted to numeric values for ratio calculations; LookupRowsPerSecond and LookupBytesPerRow. Since ratios involve division, CASE statements check for denominators that equal 0. Here are the results in an SSMS grid: This is not the only way to retrieve this information. And much of the code lends itself to conversion to functions. If there is interest, I will share the functions in an upcoming post. If you want to get started with SSIS with the help of experts, read more over at Fix Your SQL Server. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Notes from the Field, PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: SSIS

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• $.fadeTo/fadeOut() operations on Table Rows in IE fail

  - by Rick Strahl

  Here’s a a small problem that one of customers ran into a few days ago: He was playing around with some of the sample code I’ve put out for one of my simple jQuery demos which deals with providing a simple pulse behavior plug-in: $.fn.pulse = function(time) { if (!time) time = 2000; // *** this == jQuery object that contains selections $(this).fadeTo(time, 0.20, function() { $(this).fadeTo(time, 1); }); return this; } it’s a very simplistic plug-in and it works fine for simple pulse animations. However he ran into a problem where it didn’t work when working with tables – specifically pulsing a table row in Internet Explorer. Works fine in FireFox and Chrome, but IE not so much. It also works just fine in IE as long as you don’t try it on tables or table rows specifically. Applying against something like this (an ASP.NET GridView): var sel = $("#gdEntries>tbody>tr") .not(":first-child") // no header .not(":last-child") // no footer .filter(":even") .addClass("gridalternate"); // *** Demonstrate simple plugin sel.pulse(2000); fails in IE. No pulsing happens in any version of IE. After some additional experimentation with single rows and various ways of selecting each and still failing, I’ve come to the conclusion that the various fade operations in jQuery simply won’t work correctly in IE (any version). So even something as ‘elemental’ as this: var el = $("#gdEntries>tbody>tr").get(0);$(el).fadeOut(2000); is not working correctly. The item will stick around for 2 seconds and then magically disappear. Likewise: sel.hide().fadeIn(5000); also doesn’t fade in although the items become immediately visible in IE. Go figure that behavior out. Thanks to a tweet from red_square and a link he provided here is a grid that explains what works and doesn’t in IE (and most last gen browsers) regarding opacity: http://www.quirksmode.org/js/opacity.html It appears from this link that table and row elements can’t be made opaque, but td elements can. This means for the row selections I can force each of the td elements to be selected and then pulse all of those. Once you have the rows it’s easy to explicitly select all the columns in those rows with .find(“td”). Aha the following actually works: var sel = $("#gdEntries>tbody>tr") .not(":first-child") // no header .not(":last-child") // no footer .filter(":even") .addClass("gridalternate"); // *** Demonstrate simple plugin sel.find("td").pulse(2000); A little unintuitive that, but it works. Stay away from <table> and <tr> Fades The moral of the story is – stay away from TR, TH and TABLE fades and opacity. If you have to do it on tables use the columns instead and if necessary use .find(“td”) on your row(s) selector to grab all the columns. I’ve been surprised by this uhm relevation, since I use fadeOut in almost every one of my applications for deletion of items and row deletions from grids are not uncommon especially in older apps. But it turns out that fadeOut actually works in terms of behavior: It removes the item when the timeout’s done and because the fade is relatively short lived and I don’t extensively test IE code any more I just never noticed that the fade wasn’t happening. Note – this behavior or rather lack thereof appears to be specific to table table,tr,th elements. I see no problems with other elements like <div> and <li> items. Chalk this one up to another of IE’s shortcomings. Incidentally I’m not the only one who has failed to address this in my simplistic plug-in: The jquery-ui pulsate effect also fails on the table rows in the same way. sel.effect("pulsate", { times: 3 }, 2000); and it also works with the same workaround. If you’re already using jquery-ui definitely use this version of the plugin which provides a few more options… Bottom line: be careful with table based fade operations and remember that if you do need to fade – fade on columns.© Rick Strahl, West Wind Technologies, 2005-2010Posted in jQuery  

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• SQL SERVER – Powershell – Importing CSV File Into Database – Video

  - by pinaldave

  Laerte Junior is my very dear friend and Powershell Expert. On my request he has agreed to share Powershell knowledge with us. Laerte Junior is a SQL Server MVP and, through his technology blog and simple-talk articles, an active member of the Microsoft community in Brasil. He is a skilled Principal Database Architect, Developer, and Administrator, specializing in SQL Server and Powershell Programming with over 8 years of hands-on experience. He holds a degree in Computer Science, has been awarded a number of certifications (including MCDBA), and is an expert in SQL Server 2000 / SQL Server 2005 / SQL Server 2008 technologies. Let us read the blog post in his own words. I was reading an excellent post from my great friend Pinal about loading data from CSV files, SQL SERVER – Importing CSV File Into Database – SQL in Sixty Seconds #018 – Video,   to SQL Server and was honored to write another guest post on SQL Authority about the magic of the PowerShell. The biggest stuff in TechEd NA this year was PowerShell. Fellows, if you still don’t know about it, it is better to run. Remember that The Core Servers to SQL Server are the future and consequently the Shell. You don’t want to be out of this, right? Let’s see some PowerShell Magic now. To start our tour, first we need to download these two functions from Powershell and SQL Server Master Jedi Chad Miller.Out-DataTable and Write-DataTable. Save it in a module and add it in your profile. In my case, the module is called functions.psm1. To have some data to play, I created 10 csv files with the same content. I just put the SQL Server Errorlog into a csv file and created 10 copies of it. #Just create a CSV with data to Import. Using SQLErrorLog [reflection.assembly]::LoadWithPartialName(“Microsoft.SqlServer.Smo”) $ServerInstance=new-object (“Microsoft.SqlServer.Management.Smo.Server“) $Env:Computername $ServerInstance.ReadErrorLog() | export-csv-path“c:\SQLAuthority\ErrorLog.csv”-NoTypeInformation for($Count=1;$Count-le 10;$count++)  {       Copy-Item“c:\SQLAuthority\Errorlog.csv”“c:\SQLAuthority\ErrorLog$($count).csv” } Now in my path c:\sqlauthority, I have 10 csv files : Now it is time to create a table. In my case, the SQL Server is called R2D2 and the Database is SQLServerRepository and the table is CSV_SQLAuthority. CREATE TABLE [dbo].[CSV_SQLAuthority]( [LogDate] [datetime] NULL, [Processinfo] [varchar](20) NULL, [Text] [varchar](MAX) NULL ) Let’s play a little bit. I want to import synchronously all csv files from the path to the table: #Importing synchronously $DataImport=Import-Csv-Path ( Get-ChildItem“c:\SQLAuthority\*.csv”) $DataTable=Out-DataTable-InputObject$DataImport Write-DataTable-ServerInstanceR2D2-DatabaseSQLServerRepository-TableNameCSV_SQLAuthority-Data$DataTable Very cool, right? Let’s do it asynchronously and in background using PowerShell  Jobs: #If you want to do it to all asynchronously Start-job-Name‘ImportingAsynchronously‘ ` -InitializationScript  {IpmoFunctions-Force-DisableNameChecking} ` -ScriptBlock {    ` $DataImport=Import-Csv-Path ( Get-ChildItem“c:\SQLAuthority\*.csv”) $DataTable=Out-DataTable-InputObject$DataImport Write-DataTable   -ServerInstance“R2D2″`                   -Database“SQLServerRepository“`                   -TableName“CSV_SQLAuthority“`                   -Data$DataTable             } Oh, but if I have csv files that are large in size and I want to import each one asynchronously. In this case, this is what should be done: Get-ChildItem“c:\SQLAuthority\*.csv” | % { Start-job-Name“$($_)” ` -InitializationScript  {IpmoFunctions-Force-DisableNameChecking} ` -ScriptBlock { $DataImport=Import-Csv-Path$args[0]                $DataTable=Out-DataTable-InputObject$DataImport                Write-DataTable-ServerInstance“R2D2″`                               -Database“SQLServerRepository“`                               -TableName“CSV_SQLAuthority“`                               -Data$DataTable             } -ArgumentList$_.fullname } How cool is that? Let’s make the funny stuff now. Let’s schedule it on an SQL Server Agent Job. If you are using SQL Server 2012, you can use the PowerShell Job Step. Otherwise you need to use a CMDexec job step calling PowerShell.exe. We will use the second option. First, create a ps1 file called ImportCSV.ps1 with the script above and save it in a path. In my case, it is in c:\temp\automation. Just add the line at the end: Get-ChildItem“c:\SQLAuthority\*.csv” | % { Start-job-Name“$($_)” ` -InitializationScript  {IpmoFunctions-Force-DisableNameChecking} ` -ScriptBlock { $DataImport=Import-Csv-Path$args[0]                $DataTable=Out-DataTable-InputObject$DataImport                Write-DataTable-ServerInstance“R2D2″`                               -Database“SQLServerRepository“`                               -TableName“CSV_SQLAuthority“`                               -Data$DataTable             } -ArgumentList$_.fullname } Get-Job | Wait-Job | Out-Null Remove-Job -State Completed Why? See my post Dooh PowerShell Trick–Running Scripts That has Posh Jobs on a SQL Agent Job Remember, this trick is for  ALL scripts that will use PowerShell Jobs and any kind of schedule tool (SQL Server agent, Windows Schedule) Create a Job Called ImportCSV and a step called Step_ImportCSV and choose CMDexec. Then you just need to schedule or run it. I did a short video (with matching good background music) and you can see it at: That’s it guys. C’mon, join me in the #PowerShellLifeStyle. You will love it. If you want to check what we can do with PowerShell and SQL Server, don’t miss Laerte Junior LiveMeeting on July 18. You can have more information in : LiveMeeting VC PowerShell PASS–Troubleshooting SQL Server With PowerShell–English 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, Video Tagged: Powershell

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• Create a Slide Show in Windows 7 Media Center

  - by DigitalGeekery

  Are you looking for a nice way to create and display a slide show from your photo collection? Today we’ll show you how to create a slide show, how to add music to it, and watch it from the comfort of your couch in Windows 7 Media Center. Create Slide Show Launch Windows 7 Media Center and click on the Picture Library tile found under Pictures and Videos.   In the Pictures Library, scroll across to slide shows and click on Create Slide show.   Enter a name for the slide show and click Next.   If you are using a Windows Media Center remote, click on the OK button to bring up the onscreen keyboard. Use the directional buttons to navigate across the keyboard and press OK to select each letter. Click Done when finished. Select Picture Library and click Next. Select the pictures to include in your slide show. If using a remote, navigate through the images and press OK to select. If you are using a mouse, simply click on the selections. When you are finished, click Next.    Now, we can review and edit the slide show. Click the up or down pointing arrows to move pictures up and down in the order.  (more intuitive titles would be helpful in this case as opposed to the randomly generated titles in the example below) If you are finished, click Create. You can also choose to go back and add music to your slide show. (or even more pictures) We’ll take a look at adding some music in our example. Click on the Add More button.   Add Music to Your Slide Show Here we’ll select Music Library to add a song. Click Next.   You’ll now be able to browse your Music Library to select songs for your slide show. Select your songs and click Next.   When you are finished adding Music and Pictures click Create.   Once your slide show is saved, you can play it any time by going to clicking on slide shows in the Picture Library, then selecting the slide show title. Select play slide show when you’re ready to enjoy your new production.   If you ever want to edit or delete the slide show, select it in the Picture Library, and scroll to Actions. You’ll see those option under additional commands. You have the option to Edit Slide Show, Burn a CD/DVD, or Delete. Editing Slide Show Settings Within Media Center, go to Tasks… Click on Pictures…   Then choose Slide Shows. From the Slide Show settings you have the option to Show pictures in random order, Show picture information, Show song information, and Use Pan and zoom effect. You can also adjust the length of time to display each picture, and change the background color. Be sure to click Save to apply and changes before exiting. If you choose to show picture information, the picture title, date, and star rating will be displayed in the top right.   If your slide show is accompanied by music and you choose to show song information, you will get a translucent overlay for a few seconds at the beginning of each song to indicate the song, album, and artist. One of the really cool things about creating a slide show in Windows 7 Media Center is you can complete the entire process using just a Media Center remote. Can’t get enough slide shows? Check out how to turn your desktop into a picture slide show in Windows 7. Similar Articles Productive Geek Tips Using Netflix Watchnow in Windows Vista Media Center (Gmedia)Add Color Coding to Windows 7 Media Center Program GuideIntegrate Boxee with Media Center in Windows 7Schedule Updates for Windows Media CenterTurn Your Desktop into a Picture Slideshow in Windows 7 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 Case Study – How to Optimize Popular Wordpress Sites Restore Hidden Updates in Windows 7 & Vista Iceland an Insurance Job? Find Downloads and Add-ins for Outlook Recycle ! Find That Elusive Icon with FindIcons

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• GitHub Integration in Windows Azure Web Site

  - by Shaun

  Microsoft had just announced an update for Windows Azure Web Site (a.k.a. WAWS). There are four major features added in WAWS which are free scaling mode, GitHub integration, custom domain and multi branches. Since I ‘m working in Node.js and I would like to have my code in GitHub and deployed automatically to my Windows Azure Web Site once I sync my code, this feature is a big good news to me.   It’s very simple to establish the GitHub integration in WAWS. First we need a clean WAWS. In its dashboard page click “Set up Git publishing”. Currently WAWS doesn’t support to change the publish setting. So if you have an existing WAWS which published by TFS or local Git then you have to create a new WAWS and set the Git publishing. Then in the deployment page we can see now WAWS supports three Git publishing modes: - Push my local files to Windows Azure: In this mode we will create a new Git repository on local machine and commit, publish our code to Windows Azure through Git command or some GUI. - Deploy from my GitHub project: In this mode we will have a Git repository created on GitHub. Once we publish our code to GitHub Windows Azure will download the code and trigger a new deployment. - Deploy from my CodePlex project: Similar as the previous one but our code would be in CodePlex repository.   Now let’s back to GitHub and create a new publish repository. Currently WAWS GitHub integration only support for public repositories. The private repositories support will be available in several weeks. We can manage our repositories in GitHub website. But as a windows geek I prefer the GUI tool. So I opened the GitHub for Windows, login with my GitHub account and select the “github” category, click the “add” button to create a new repository on GitHub. You can download the GitHub for Windows here. I specified the repository name, description, local repository, do not check the “Keep this code private”. After few seconds it will create a new repository on GitHub and associate it to my local machine in that folder. We can find this new repository in GitHub website. And in GitHub for Windows we can also find the local repository by selecting the “local” category.   Next, we need to associate this repository with our WAWS. Back to windows developer portal, open the “Deploy from my GitHub project” in the deployment page and click the “Authorize Windows Azure” link. It will bring up a new windows on GitHub which let me allow the Windows Azure application can access your repositories. After we clicked “Allow”, windows azure will retrieve all my GitHub public repositories and let me select which one I want to integrate to this WAWS. I selected the one I had just created in GitHub for Windows. So that’s all. We had completed the GitHub integration configuration. Now let’s have a try. In GitHub for Windows, right click on this local repository and click “open in explorer”. Then I added a simple HTML file. 1: <html> 2: <head> 3: </head> 4: <body> 5: <h1> 6: I came from GitHub, WOW! 7: </h1> 8: </body> 9: </html> Save it and back to GitHub for Windows, commit this change and publish. This will upload our changes to GitHub, and Windows Azure will detect this update and trigger a new deployment. If we went back to azure developer portal we can find the new deployment. And our commit message will be shown as the deployment description as well. And here is the page deployed to WAWS.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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• Ubuntu 11 and 12 initially fast but later bogs down, CPU pegged

  - by uos??

  I started with Ubuntu 11 a few weeks ago. It's on a DELL M4300 with a OCZ SSD. Default setup, except that I've installed the proprietary NVIDIA graphics and BROADCOM wireless drivers. Dual boot with Windows. If I cold boot into Ubuntu, it is very fast, just like the Windows experience that I'm used to. But SOMETHING happens, and I haven't yet determined what, but the system gets incredibly slow and stays that way. At first I thought it had to do with Adobe Flash because it seemed to be triggered by sites with Flash. But then I removed Flash and the problem remains. I thought it was just an overheating problem, but I've now upgraded to 12.04 which supposedly fixes the overheating problems I've read about. Perhaps the heat situation was brought on by Flash in my early cases? So I installed Jupiter for CPU management, but the thermometer reports a familiar Windows-side temperature of 53 degrees Celsius. Switching Jupiter to lower performance doesn't help. When I check the System Monitor application, sorting by CPU usage, there are no obvious problem processes. However, in the graphs tab, both CPU cores are pegged at 100%! I notice that the slowness seems to be similar to the extremely bad performance I got prior to installing the NVIDIA drivers. I'm not sure if that helps. This is the strangest part to me - although the temperature seems OK, even after rebooting, the system remains slow - starting with GRUB2 which is very noticeably delayed, all the way through to either Ubuntu or Windows! That's right, even the Windows side suffers effects and takes several minutes to complete booting whereas normally (with my SSD) it's ready to use in 15 seconds. The only way to fix it is to shutdown and let the parts cool down. Or maybe it just needs to completely power off and boot rather than a soft reboot, temperature has nothing to do with it? - is that possible? But know that I have never had this problem in Windows, even if Windows gets very hot (135 F) a reboot would be enough time for it to recover. For this reason, I don't think it's a heat thing, but I can't imagine what else could be surviving the reboot. I'm entirely updated - there are no pending updates. I have the Post-Release updates of NVIDIA too, btw. If this sounds CLOSE to something you know about, but one of the details doesn't line up exactly, it might be a mistake in my perception. Are there tests you can suggest to rule something out? Thanks! processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 23 model name : Intel(R) Core(TM)2 Duo CPU T9500 @ 2.60GHz stepping : 6 microcode : 0x60c cpu MHz : 800.000 cache size : 6144 KB physical id : 0 siblings : 2 core id : 0 cpu cores : 2 apicid : 0 initial apicid : 0 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good nopl aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm sse4_1 lahf_lm ida dts tpr_shadow vnmi flexpriority bogomips : 5187.00 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: processor : 1 vendor_id : GenuineIntel cpu family : 6 model : 23 model name : Intel(R) Core(TM)2 Duo CPU T9500 @ 2.60GHz stepping : 6 microcode : 0x60c cpu MHz : 800.000 cache size : 6144 KB physical id : 0 siblings : 2 core id : 1 cpu cores : 2 apicid : 1 initial apicid : 1 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good nopl aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm sse4_1 lahf_lm ida dts tpr_shadow vnmi flexpriority bogomips : 5186.94 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: (Redundant figures removed. You can view them in the edits if they are still relevant) ps: %CPU PID USER COMMAND 9.4 2399 jason gnome-terminal 6.2 2408 jason bash 17.3 1117 root /usr/bin/X :0 -auth /var/run/lightdm/root/:0 -nolisten tcp vt7 -novtswitch -background none 13.7 1667 jason compiz 1.3 1960 jason /usr/lib/unity/unity-panel-service 1.3 1697 jason python /usr/bin/jupiter 0.9 1964 jason /usr/lib/indicator-appmenu/hud-service 0.6 1689 jason nautilus -n 0.4 1458 jason //bin/dbus-daemon --fork --print-pid 5 --print-address 7 --session I should highlight specifically that GRUB2 can also be very slow. I don't know the relationship of which scenarios GRUB2 is also slow, but WHEN it is slow, it is slow both before the menu appears and after the selection is made - although for the diagnosis of GRUB2 it is harder for me to tell what the normal speeds should be. With SSD, I would expect that GRUB2 could load instantly, and that the GRUB2 purple would disappear instantly after the selection. The only delay to be expected is the change in graphics modes (though I couldn't guess why that ever requires any noticeable time)

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• How big can my SharePoint 2010 installation be?

  - by Sahil Malik

  Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). 3 years ago, I had published “How big can my SharePoint 2007 installation be?” Well, SharePoint 2010 has significant under the covers improvements. So, how big can your SharePoint 2010 installation be? There are three kinds of limits you should know about Hard limits that cannot be exceeded by design. Configurable that are, well configurable – but the default values are set for a pretty good reason, so if you need to tweak, plan and understand before you tweak. Soft limits, you can exceed them, but it is not recommended that you do. Before you read any of the limits, read these two important disclaimers - 1. The limit depends on what you’re doing. So, don’t take the below as gospel, the reality depends on your situation. 2. There are many additional considerations in planning your SharePoint solution scalability and performance, besides just the below. So with those in mind, here goes.   Hard Limits - Zones per web app 5 RBS NAS performance Time to first byte of any response from NAS must be less than 20 milliseconds List row size 8000 bytes driven by how SP stores list items internally Max file size 2GB (default is 50MB, configurable). RBS does not increase this limit. Search metadata properties 10,000 per item crawled (pretty damn high, you’ll never need to worry about it). Max # of concurrent in-memory enterprise content types 5000 per web server, per tenant Max # of external system connections 500 per web server PerformancePoint services using Excel services as a datasource No single query can fetch more than 1 million excel cells Office Web Apps Renders One doc per second, per CPU core, per Application server, limited to a maximum of 8 cores.   Configurable Limits - Row Size Limit 6, configurable via SPWebApplication.MaxListItemRowStorage property List view lookup 8 join operations per query Max number of list items that a single operation can process at one time in normal hours 5000 Configurable via SPWebApplication.MaxItemsPerThrottledOperation   Also you get a warning at 3000, which is configurable via SPWebApplication.MaxItemsPerThrottledOperationWarningLevel   In addition, throttle overrides can be requested, throttle overrides can be disabled, and time windows can be set when throttle is disabled. Max number of list items for administrators that a single operation can process at one time in normal hours 20000 Configurable via SPWebApplication.MaxItemsPerThrottledOperationOverride Enumerating subsites 2000 Word and Powerpoint co-authoring simultaneous editors 10 (Hard limit is 99). # of webparts on a page 25 Search Crawl DBs per search service app 10 Items per crawl db 25 million Search Keywords 200 per site collection. There is a max limit of 5000, which can then be modified by editing the web.config/client.config. Concurrent # of workflows on a content db 15. Workflows running in the timer service are not counted in this limit. Further workflows are queued. Can be configured via the Set-SPFarmConfig powershell commandlet. Number of events picked by the workflow timer job and delivered to workflows 100. You can increase this limit by running additional instances of the workflow timer service. Visio services file size 50MB Visio web drawing recalculation timeout 120 seconds Configurable via – Powershell commandlet Set-SPVisioPerformance Visio services minimum and maximum cache age for data connected diagrams 0 to 24 hours. Default is 60 minutes. Configurable via – Powershell commandlet Set-SPVisioPerformance   Soft Limits - Content Databases 300 per web app Application Pools 10 per web server Managed Paths 20 per web app Content Database Size 200GB per Content DB Size of 1 site collection 100GB # of sites in a site collection 250,000 Documents in a library 30 Million, with nesting. Depends heavily on type and usage and size of documents. Items 30 million. Depends heavily on usage of items. SPGroups one SPUser can be in 5000 Users in a site collection 2 million, depends on UI, nesting, containers and underlying user store AD Principals in a SPGroup 5000 SPGroups in a site collection 10000 Search Service Instances 20 Indexed Items in Search 100 million Crawl Log entries 100 million Search Alerts 1 million per search application Search Crawled Properties 1/2 million URL removals in search 100 removals per operation User Profiles 2 million per service application Social Tags 500 million per social database Comment on the article ....

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• WebLogic 12.1.2 launch webcast on-demand & WebLogic Community feedback

  - by JuergenKress

  You missed the WebLogic & Coherence & JDeveloper 12.1.2 launch Webcast? Watch it on-demand: View On-Demand Version Read the Q&A from this Webcast Special thanks for Frank Munz and Simon Haslams our WebLogic Community experts on the phone!Thanks for the community for the great twitter feedback send us your tweets @wlscommunity #WebLogicCommunity WebLogic Community Join the #WebLogic Partner Community for the latest WebLogic 12.1.2 details and upcoming trainings http://www.WeblogicCommunity.com #OracleCAF Oracle WebLogic ?Unified update, patch, install process is a key component in reducing Ops cost in #WebLogic 12c #OracleCAF WebLogic Community Demo time #WebLogic cluster creation in seconds #OracleCAF by @mike_lehmann & Will Lyons #WebLogicCommunity pic.twitter.com/gyb8YqnKco Oracle WebLogic ?Dynamic server clusters to scale apps - coming up in #WebLogic 12c launch. #OracleCAF http://pub.vitrue.com/lBmE Oracle WebLogic ?Key feature of #WebLogic 12.1.2 release: @Oracle Database 12c integration. #OracleCAF #OracleDB OTNArchBeat ?Many tech posts on #weblogic available on #oracleace Rene van Wijk's blog. #OracleCAF http://pub.vitrue.com/O9Cn Frank Munz ?Correct me if I am wrong, but this could be the first WebLogic 12.1.2 training ever: http://www.ausoug.org.au/insync13/insync13-frank-munz.html … Cloud Foundation ?.#WebLogic 12.1.2 deep dive starts NOW during #OracleCAF launch. #Coherence up next in a few minutes. http://pub.vitrue.com/HPHM Maciej Gruszka ?Watch http://www.youtube.com/watch?v=KiCoO_QGBsU&feature=c4-overview&list=UUrEIV9YO17leE9aJWamKEPw … at #WebLogic channel with @dave_cabelus about Elastic JMS Oracle WebLogic ?Pick up the new book by @frankmunz on WLS 12c http://amzn.to/1ceppgZ #WebLogic #OracleCAF OTNArchBeat ?@OTNArchBeat 31 Jul @frankmunz 's #WebLogic YouTube channel >> watch and learn #OracleCAF http://pub.vitrue.com/B4IM WebLogic Community ?@frankmunz WebLogic expert build elastic clouds with #WebLogic http://www.munzandmore.com/blog #OracleCAF #WebLogicCommunity pic.twitter.com/UK5UKjXUVl OTNArchBeat @frankmunz 's blog, covering #weblog #cloud and more #OracleCAF http://pub.vitrue.com/N8ST OTNArchBeat ?oracladmin: @simon_haslam 's Oracle Fusion Middleware blog #OracleCAF #oracleace http://pub.vitrue.com/cwGx Yuri Grinshteyn ?Coherence uses WLS tooling, including deployment, and can be part of the WLS cluster. Well done there. #OracleCAF Maciej Gruszka ?#Coherence 12.1.2 auto updates data grid on changes inside DB thru #GoldenGate HotCache - another cool feature of #OracleCAF Oracle WebLogic ?From #OracleCAF launch: Tight integration tween WLS, #Coherence and #OracleDB. Dynamic clusters, OSS support & more http://pub.vitrue.com/3NL9 OTNArchBeat ?25 recent no-fluff technical articles on Oracle WebLogic #OracleCAF http://pub.vitrue.com/FEG5 Maciej Gruszka ?@dave_cabelus Elastic JMS is my favourite capability of #WebLogic 12.1.2 WebLogic Community ?Dynamic WebLogic Clustering COOL - what is Wour favorite 12.1.2 feature? #OracleCAF #WebLogicCommunity pic.twitter.com/T8lvDMJ1U0 WebLogic Community ?What is the coolest #WebLogic 12.1.2 feature? Let us know @wlscommunity http://weblogiccommunity.com/2013/07/30/launch-webcast-weblogic-coherence-jdeveloper-adf-12-1-2-00-july-31st-2013/ … #WebLogicCommunity Simon Haslam ?I'm speaking(!) on the panel session with @frankmunz & Matt Rosen on the CAF/WebLogic 12.1.2 launch: 6pm UK today https://event.on24.com/eventRegistration/EventLobbyServlet?target=registration.jsp&eventid=651242&partnerref=CAF_Launch_OCOM_07312013&sourcepage=register … Markus Eisele ?#WebLogic 12.1.2 - an Important New Release for Middleware Admins http://bit.ly/1cmtqhX by @simon_haslam OracleEnterpriseMgr ?The JVM diagnostics features of #EM12c are now shown in a demo by @hawkinsg1 at the #OracleCAF launch http://bit.ly/caflaunch Shaun Smith ?Curious about the new #Coherence 12.1.2 GoldenGate HotCache feature? I explain all on youtube: http://www.youtube.com/watch?v=O0TIG3hgbg0&feature=share&list=PLxqhEJ4CA3JtQwuPS8Qmd88lGX-gsIbHV … #OracleCAF Maciej Gruszka ?Try for Yourself -- Download the products Oracle WebLogic 12.1.2: http://www.oracle.com/technetwork/middleware/fusion-middleware/downloads/index.html … Oracle Coherence 12c: http://www.oracle.com/technetwork/middleware/coherence/downloads/index.htm … WebLogic Community ?What is Your favorite feature in #WebLogic 12.1.2 ? cool stuff! #OracleCAF #WebLogicCommunity http://WeblogicCommunity.com pic.twitter.com/xjR05tiaQj We encourage you to learn more about all the products by reviewing the following resources: Try for Yourself -- Download the products Oracle WebLogic 12.1.2 Oracle Coherence 12c Enterprise Manager Developer Tools WebLogic Community blog Learn more Read the Oracle WebLogic Business Whitepaper Read the Oracle Coherence Business Whitepaper Read the Oracle WebLogic and Oracle Database Integration Whitepaper Get Training from Oracle University Check out the Oracle WebLogic YouTube Channel Check out the Oracle Coherence YouTube Channel WebLogic Partner Community Registration The Webcast is available on-demand Watch Webcast Now WebLogic Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: Weblogic 12.1.2,WebLogic Community,Oracle,OPN,Jürgen Kress

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• 2012 Oracle Fusion Innovation Awards - Part 2

  - by Michelle Kimihira

  Author: Moazzam Chaudry Continuing from Friday's blog on 2012 Oracle Fusion Innovation Awards, this blog (Part 2) will provide more details around the customers. It was a tremendous honor to be in single room of winners. We only wish we could have had more time to share stories from all the winners.  We received great insight from all the innovative solutions that our customers deploy and would like to share them broadly, so that others can benefit from best practices. There was a customer panel session joined by Ingersoll Rand, Nike and Motability and here is what was discussed: Barry Bonar, Enterprise Architect from Ingersoll Rand shared details around their solution, comprised of Oracle Exalogic, Oracle WebLogic Server and Oracle SOA Suite. This combined solutoin enabled their business transformation to increase decision-making, speed and efficiency, resulting in 40% reduced IT spend, 41X Faster response time and huge cost savings. Ashok Balakrishnan, Architect from Nike shared how they leveraged Oracle Coherence to analyze their digital "footprint" of activities. This helps them compete, collaborate and compare athletic data over time. Lastly, Ashley Doodly, Head of IT from Motability shared details around their solution compromised of Oracle SOA Suite, Service Bus, ADF, Coherence, BO and E-Business Suite. This solution helped Motability achieve 100% ROI within the first few months, performance in seconds vs. 10's of minutes and tremendous improvement in throughput that increased up to 50%.  This year's winners by category are: Oracle Exalogic Customer Results using Fusion Middleware Netshoes ATG on Exalogic: 6X Reduced H/W foot print, 6.2X increased throughput and 3 weeks time to market Claro Part of America Movil, running mission critical Java Application on Exalogic with 35X Faster Java response time, 5X Throughput Underwriters Laboratories Exalogic as an Apps Consolidation platform to power tremendous growth Ingersoll Rand EBS on Exalogic: Up to 40% Reduction in overall IT budget, 3x reduced foot print Oracle Cloud Application Foundation Customer Results using Fusion Middleware  Mazda Motor Corporation Tuxedo ART Batch runtime environment to migrate their batch apps on new open environment and reduce main frame cost. HOTELBEDS Technology Open Source to WebLogic transformation Globalia Corporation Introduced Oracle Coherence to fully reengineer DTH system and provide multiple business and technical benefits Nike Nike+, digital sports platform, has 8M users and is expecting an 5X increase in users, many of who will carry multiple devices that frequently sync data with the Digital Sport platform Comcast Corporation The solution is expected to increase availability, continuity, performance, and simplify and make the code at the application layer more flexible. Oracle SOA and Oracle BPM Customer Results using Fusion Middleware NTT Docomo Network traffic solution based on Oracle event processing and coherence - massive in scale: 12M users (50M in future) - 800,000 events/sec. Schneider National, Inc. SOA/B2B/ADF/Data Integration to orchestrate key order processes across Siebel, OTM & EBS.  Platform runs 60M trans/day and  50 million composite SOA instances per day across 10G and 11G Amadeus Oracle BPM solution: Business Rules and processes vary across local (80), regional (~10) and corporate approval process. Up to 10 levels of approval. Plans to deploy across 20+ markets Navitar SOA solution integrates a fully non-Oracle legacy application/ERP environment using Oracle’s SOA Suite and Oracle AIA Foundation Pack. Motability Uses SOA Suite to synchronize data across the systems and to manage the vehicle remarketing process Oracle WebCenter Customer Results using Fusion Middleware  News Limited Single platform running websites for 50% of Australia's newspapers University of Louisville “Facebook for Medicine”: Oracle Webcenter platform and Oracle BIEE to analyze patient test data and uncover potential health issues. Expecting annualized ROI of 277% China Mobile Jiangsu Company portal (25k users) to drive collaboration & productivity Life Technologies Portal for remotely monitoring & repairing biotech instruments LA Dept. of Water & Power Oracle WebCenter Portal to power ladwp.com on desktop and mobile for 1.6million users Oracle Identity Management Customer Results using Fusion Middleware Education Testing Service Identity Management platform for provisioning & SSO of 6 million GRE, GMAT, TOEFL customers Avea Oracle Identity Manager allowing call center personnel to quickly change Identity Profile to handle varying call loads based on a user self service interface. Decreased Admin Cost by 30% Oracle Data Integration Customer Results using Fusion Middleware Raymond James Near real-time integration for improved systems (throughput & performance) and enhanced operational flexibility in a 24 X 7 environment Wm Morrison Supermarkets Electronic Point of Sale integration handling over 80 million transactions a day in near real time (15 min intervals) Oracle Application Development Framework and Oracle Fusion Development Customer Results using Fusion Middleware Qualcomm Incorporated Solution providing  immediate business value enabling a self-service model necessary for growing the new customer base, an increase in customer satisfaction, reduced “time-to-deliver” Micros Systems, Inc. ADF, SOA Suite, WebCenter  enables services that include managing distribution of hotel rooms availability and rates to channels such as Hotel Web-site, Expedia, etc. Marfin Egnatia Bank A new web 2.0 UI provides a much richer experience through the ADF solution with the end result being one of boosting end-user productivity    Business Analytics (Oracle BI, Oracle EPM, Oracle Exalytics) Customer Results using Fusion Middleware INC Research Self-service customer portal delivering 5–10% of the overall revenue - expected to grow fast with the BI solution Experian Reduction in Time to Complete the Financial Close Process Hologic Inc Solution, saving months of decision-making uncertainty! We look forward to seeing many more innovative nominations. The nominatation process for 2013 begins in April 2013.    Additional Information: Blog: Oracle WebCenter Award Winners Blog: Oracle Identity Management Winners Blog: Oracle Exalogic Winners Blog: SOA, BPM and Data Integration will be will feature award winners in its respective areas this week Subscribe to our regular Fusion Middleware Newsletter Follow us on Twitter and Facebook

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• Frameskipping in Android gameloop causing choppy sprites (Open GL ES 2.0)

  - by user22241

  I have written a simple 2d platform game for Android and am wondering how one deals with frame-skipping? Are there any alternatives? Let me explain further. So, my game loop allows for the rendering to be skipped if game updates and rendering do not fit into my fixed time-slice (16.667ms). This allows my game to run at identically perceived speeds on different devices. And this works great, things do run at the same speed. However, when the gameloop skips a render call for even one frame, the sprite glitches. And thinking about it, why wouldn't it? You're seeing a sprite move say, an average of 10 pixels every 1.6 seconds, then suddenly, there is a pause of 3.2ms, and the sprite then appears to jump 20 pixels. When this happens 3 or 4 times in close succession, the result is very ugly and not something I want in my game. Therfore, my question is how does one deal with these 'pauses' and 'jumps' - I've read every article on game loops I can find (see below) and my loops are even based off of code from these articles. The articles specifically mention frame skipping but they don't make any reference to how to deal with visual glitches that result from it. I've attempted various game-loops. My loop must have a mechanism in-place to allow rendering to be skipped to keep game-speed constant across multiple devices (or alternative, if one exists) I've tried interpolation but this doesn't eliminate this specific problem (although it looks like it may mitigate the issue slightly as when it eventually draws the sprite it 'moves it back' between the old and current positions so the 'jump' isn't so big. I've also tried a form of extrapolation which does seem to keep things smooth considerably, but I find it to be next to completely useless because it plays havoc with my collision detection (even when drawing with a 'display only' coordinate - see extrapolation-breaks-collision-detection) I've tried a loop that uses Thread.sleep when drawing / updating completes with time left over, no frame skipping in this one, again fairly smooth, but runs differently on different devices so no good. And I've tried spawning my own, third thread for logic updates, but this, was extremely messy to deal with and the performance really wasn't good. (upon reading tons of forums, most people seem to agree a 2 thread loops ( so UI and GL threads) is safer / easier). Now if I remove frame skipping, then all seems to run nice and smooth, with or without inter/extrapolation. However, this isn't an option because the game then runs at different speeds on different devices as it falls behind from not being able to render fast enough. I'm running logic at 60 Ticks per second and rendering as fast as I can. I've read, as far as I can see every article out there, I've tried the loops from My Secret Garden and Fix your timestep. I've also read: Against the grain deWITTERS Game Loop Plus various other articles on Game-loops. A lot of the others are derived from the above articles or just copied word for word. These are all great, but they don't touch on the issues I'm experiencing. I really have tried everything I can think of over the course of a year to eliminate these glitches to no avail, so any and all help would be appreciated. A couple of examples of my game loops (Code follows): From My Secret Room public void onDrawFrame(GL10 gl) { //Rre-set loop back to 0 to start counting again loops=0; while(System.currentTimeMillis() > nextGameTick && loops < maxFrameskip) { SceneManager.getInstance().getCurrentScene().updateLogic(); nextGameTick += skipTicks; timeCorrection += (1000d / ticksPerSecond) % 1; nextGameTick += timeCorrection; timeCorrection %= 1; loops++; } extrapolation = (float)(System.currentTimeMillis() + skipTicks - nextGameTick) / (float)skipTicks; render(extrapolation); } And from Fix your timestep double t = 0.0; double dt2 = 0.01; double currentTime = System.currentTimeMillis()*0.001; double accumulator = 0.0; double newTime; double frameTime; @Override public void onDrawFrame(GL10 gl) { newTime = System.currentTimeMillis()*0.001; frameTime = newTime - currentTime; if ( frameTime > (dt*5)) //Allow 5 'skips' frameTime = (dt*5); currentTime = newTime; accumulator += frameTime; while ( accumulator >= dt ) { SceneManager.getInstance().getCurrentScene().updateLogic(); previousState = currentState; accumulator -= dt; } interpolation = (float) (accumulator / dt); render(interpolation); }

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• Web Site Performance and Assembly Versioning – Part 2 Versioning Combined Files Using Subversion

  - by capgpilk

  Ok so it took a while to post this second part. Many apologies, we had a big roll out of a new platform at work and many things had to get sidelined. So this is the second part in a short series of website performance and using versioning to help improve it. Minification and Concatination of JavaScript and CSS Files Versioning Combined Files Using Subversion – this post Versioning Combined Files Using Mercurial – published shortly In the previous post we used AjaxMin to shrink js and css files then concatenated them into one file each which had the file name of site-script.combined.min.js and site-style.combined.min.css. These file names are fine, but you can configure IIS 7 to cache these static files and so lower the amount of data transferred between server and client. This is done by editing the response headers in IIS. 1. In IIS7 Manager, choose the directory where these files are located and select HTTP Response Headers. 2. Check the Expire Web Content and set a time period well into the future. 3. When refreshing the web page, the server will respond with HTTP 304 forcing the browser to retrieve the file from its cache. 4. As can be seen in FireBug, the Cache-Control header has a max age of 31536000 seconds which equates to 365 days.   The server will always send this HTTP 304 message unless the file changes forcing it to send new content. To help force this we can change the file name based on the latest build using the SVN revision number in the filename. So we have lowered data transfer on content that hasn’t changed, but forced it to be sent when you have made a change to the css or js files. Now to get the SVN revision number in to the file name. 1. Import the MSBuildCommunityTasks targets which can be dowloaded from here. 1: <Import Project="$(MSBuildExtensionsPath) 2: \MSBuildCommunityTasks 3: \MSBuild.Community.Tasks.Targets" /> 2. Edit the BeforeBuild target to call out to svn and get the latest revision 1: <SvnVersion LocalPath="$(MSBuildProjectDirectory)" 2: ToolPath="$(ProgramFiles)\VisualSVN Server\bin"> 3: <Output TaskParameter="Revision" PropertyName="Revision" /> 4: </SvnVersion> 3. Set it to update the project AssemblyInfo.cs file for the svn revision. 1: <FileUpdate Files="Properties\AssemblyInfo.cs" 2: Regex="(\d+)\.(\d+)\.(\d+)\.(\d+)" 3: ReplacementText="$1.$2.$3.$(Revision)" /> 4. Now edit the AfterBuild target to get the full dll version. You could combine these two steps and just get the version from svn, I am working on one project that updates the AssemblyInfo file and another project that allows manual editing of the file, but needs that version within the file name; so I just combined the two for this post. 1: <MSBuild.ExtensionPack.Framework.Assembly 2: TaskAction="GetInfo" 3: NetAssembly="$(OutputPath)\mydll.dll"> 4: <Output TaskParameter="OutputItems" ItemName="Info" /> 5: </MSBuild.ExtensionPack.Framework.Assembly> 6: <Message Text="Version: %(Info.AssemblyVersion)" 7: Importance="High" /> 5. Use this Info.AssemblyVersion to write out the combined css and js files as described in the last post. 1: <WriteLinestoFile File="Scripts\site-%(Info.AssemblyVersion).combined.min.js" 2: Lines="@(JSLinesSite)" Overwrite="true" />   In the next post I will cover doing the same, but for a Mercurial repository.

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• View Docs and PDFs Directly in Google Chrome

  - by Matthew Guay

  Would you like to view documents, presentations, and PDFs directly in Google Chrome?  Here’s a handy extension that makes Google Docs your default online viewer so don’t have to download the file first. Getting Started By default, when you come across a PDF or other common document file online in Google Chrome, you’ll have to download the file and open it in a separate application. It’d be much easier to simply view online documents directly in Chrome.  To do this, head over to the Docs PDF/PowerPoint Viewer page on the Chrome Extensions site (link below), and click Install to add it to your browser. Click Install to confirm that you want to install this extension. Extensions don’t run by default in Incognito mode, so if you’d like to always view documents directly in Chrome, open the Extensions page and check Allow this extension to run in incognito. Now, when you click a link for a document online, such as a .docx file from Word, it will open in the Google Docs viewer. These documents usually render in their original full-quality.  You can zoom in and out to see exactly what you want, or search within the document.  Or, if it doesn’t look correct, you can click the Download link in the top left to save the original document to your computer and open it in Office.   Even complex PDF render very nicely.  Do note that Docs will keep downloading the document as you’re reading it, so if you jump to the middle of a document it may look blurry at first but will quickly clear up. You can even view famous presentations online without opening them in PowerPoint.  Note that this will only display the slides themselves, but if you’re looking for information you likely don’t need the slideshow effects anyway.   Adobe Reader Conflicts If you already have Adobe Acrobat or Adobe Reader installed on your computer, PDF files may open with the Adobe plugin.  If you’d prefer to read your PDFs with the Docs PDF Viewer, then you need to disable the Adobe plugin.  Enter the following in your Address Bar to open your Chrome Plugins page: chrome://plugins/ and then click Disable underneath the Adobe Acrobat plugin. Now your PDFs will always open with the Docs viewer instead. Performance Who hasn’t been frustrated by clicking a link to a PDF file, only to have your browser pause for several minutes while Adobe Reader struggles to download and display the file?  Google Chrome’s default behavior of simply downloading the files and letting you open them is hardly more helpful.  This extension takes away both of these problems, since it renders the documents on Google’s servers.  Most documents opened fairly quickly in our tests, and we were able to read large PDFs only seconds after clicking their link.  Also, the Google Docs viewer rendered the documents much better than the HTML version in Google’s cache. Google Docs did seem to have problem on some files, and we saw error messages on several documents we tried to open.  If you encounter this, click the Download link in the top left corner to download the file and view it from your desktop instead. Conclusion Google Docs has improved over the years, and now it offers fairly good rendering even on more complex documents.  This extension can make your browsing easier, and help documents and PDFs feel more like part of the Internet.  And, since the documents are rendered on Google’s servers, it’s often faster to preview large files than to download them to your computer. Link Download the Docs PDF/PowerPoint Viewer extension from Google Similar Articles Productive Geek Tips Integrate Google Docs with Outlook the Easy WayGoogle Image Search Quick FixView the Time & Date in Chrome When Hiding Your TaskbarView Maps and Get Directions in Google ChromeHow To Export Documents from Google Docs to Your Computer 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 Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 How to Forecast Weather, without Gadgets Outlook Tools, one stop tweaking for any Outlook version Zoofs, find the most popular tweeted YouTube videos Video preview of new Windows Live Essentials 21 Cursor Packs for XP, Vista & 7 Map the Stars with Stellarium

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• Talend Enterprise Data Integration overperforms on Oracle SPARC T4

  - by Amir Javanshir

  The SPARC T microprocessor, released in 2005 by Sun Microsystems, and now continued at Oracle, has a good track record in parallel execution and multi-threaded performance. However it was less suited for pure single-threaded workloads. The new SPARC T4 processor is now filling that gap by offering a 5x better single-thread performance over previous generations. Following our long-term relationship with Talend, a fast growing ISV positioned by Gartner in the “Visionaries” quadrant of the “Magic Quadrant for Data Integration Tools”, we decided to test some of their integration components with the T4 chip, more precisely on a T4-1 system, in order to verify first hand if this new processor stands up to its promises. Several tests were performed, mainly focused on: Single-thread performance of the new SPARC T4 processor compared to an older SPARC T2+ processor Overall throughput of the SPARC T4-1 server using multiple threads The tests consisted in reading large amounts of data --ten's of gigabytes--, processing and writing them back to a file or an Oracle 11gR2 database table. They are CPU, memory and IO bound tests. Given the main focus of this project --CPU performance--, bottlenecks were removed as much as possible on the memory and IO sub-systems. When possible, the data to process was put into the ZFS filesystem cache, for instance. Also, two external storage devices were directly attached to the servers under test, each one divided in two ZFS pools for read and write operations. Multi-thread: Testing throughput on the Oracle T4-1 The tests were performed with different number of simultaneous threads (1, 2, 4, 8, 12, 16, 32, 48 and 64) and using different storage devices: Flash, Fibre Channel storage, two stripped internal disks and one single internal disk. All storage devices used ZFS as filesystem and volume management. Each thread read a dedicated 1GB-large file containing 12.5M lines with the following structure: customerID;FirstName;LastName;StreetAddress;City;State;Zip;Cust_Status;Since_DT;Status_DT 1;Ronald;Reagan;South Highway;Santa Fe;Montana;98756;A;04-06-2006;09-08-2008 2;Theodore;Roosevelt;Timberlane Drive;Columbus;Louisiana;75677;A;10-05-2009;27-05-2008 3;Andrew;Madison;S Rustle St;Santa Fe;Arkansas;75677;A;29-04-2005;09-02-2008 4;Dwight;Adams;South Roosevelt Drive;Baton Rouge;Vermont;75677;A;15-02-2004;26-01-2007 […] The following graphs present the results of our tests: Unsurprisingly up to 16 threads, all files fit in the ZFS cache a.k.a L2ARC : once the cache is hot there is no performance difference depending on the underlying storage. From 16 threads upwards however, it is clear that IO becomes a bottleneck, having a good IO subsystem is thus key. Single-disk performance collapses whereas the Sun F5100 and ST6180 arrays allow the T4-1 to scale quite seamlessly. From 32 to 64 threads, the performance is almost constant with just a slow decline. For the database load tests, only the best IO configuration --using external storage devices-- were used, hosting the Oracle table spaces and redo log files. Using the Sun Storage F5100 array allows the T4-1 server to scale up to 48 parallel JVM processes before saturating the CPU. The final result is a staggering 646K lines per second insertion in an Oracle table using 48 parallel threads. Single-thread: Testing the single thread performance Seven different tests were performed on both servers. Given the fact that only one thread, thus one file was read, no IO bottleneck was involved, all data being served from the ZFS cache. Read File ? Filter ? Write File: Read file, filter data, write the filtered data in a new file. The filter is set on the “Status” column: only lines with status set to “A” are selected. This limits each output file to about 500 MB. Read File ? Load Database Table: Read file, insert into a single Oracle table. Average: Read file, compute the average of a numeric column, write the result in a new file. Division & Square Root: Read file, perform a division and square root on a numeric column, write the result data in a new file. Oracle DB Dump: Dump the content of an Oracle table (12.5M rows) into a CSV file. Transform: Read file, transform, write the result data in a new file. The transformations applied are: set the address column to upper case and add an extra column at the end, which is the concatenation of two columns. Sort: Read file, sort a numeric and alpha numeric column, write the result data in a new file. The following table and graph present the final results of the tests: Throughput unit is thousand lines per second processed (K lines/second). Improvement is the % of improvement between the T5140 and T4-1. Test T4-1 (Time s.) T5140 (Time s.) Improvement T4-1 (Throughput) T5140 (Throughput) Read/Filter/Write 125 806 645% 100 16 Read/Load Database 195 1111 570% 64 11 Average 96 557 580% 130 22 Division & Square Root 161 1054 655% 78 12 Oracle DB Dump 164 945 576% 76 13 Transform 159 1124 707% 79 11 Sort 251 1336 532% 50 9 The improvement of single-thread performance is quite dramatic: depending on the tests, the T4 is between 5.4 to 7 times faster than the T2+. It seems clear that the SPARC T4 processor has gone a long way filling the gap in single-thread performance, without sacrifying the multi-threaded capability as it still shows a very impressive scaling on heavy-duty multi-threaded jobs. Finally, as always at Oracle ISV Engineering, we are happy to help our ISV partners test their own applications on our platforms, so don't hesitate to contact us and let's see what the SPARC T4-based systems can do for your application! "As describe in this benchmark, Talend Enterprise Data Integration has overperformed on T4. I was generally happy to see that the T4 gave scaling opportunities for many scenarios like complex aggregations. Row by row insertion in Oracle DB is faster with more than 650,000 rows per seconds without using any bulk Oracle capabilities !" Cedric Carbone, Talend CTO.

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• Timeout Considerations for Solicit Response – Part 2

  - by Michael Stephenson

  To follow up a previous article about timeouts and how they can affect your application I have extended the sample we were using to include WCF. I will execute some test scenarios and discuss the results. The sample We begin by consuming exactly the same web service which is sitting on a remote server. This time I have created a .net 3.5 application which will consume the web service using the basichttp binding. To show you the configuration for the consumption of this web service please refer to the below diagram. You can see like before we also have the connectionManagement element in the configuration file. I have added a WCF service reference (also using the asynchronous proxy methods) and have the below code sample in the application which will asynchronously make the web service calls and handle the responses on a call back method invoked by a delegate. If you have read the previous article you will notice that the code is almost the same.   Sample 1 – WCF with Default Timeouts In this test I set about recreating the same scenario as previous where we would run the test but this time using WCF as the messaging component. For the first test I would use the default configuration settings which WCF had setup when we added a reference to the web service. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:01:00" receiveTimeout="00:10:00" sendTimeout="00:01:00"   The Test We simulated 21 calls to the web service Test Results The client-side trace is as follows:   The server-side trace is as follows: Some observations on the results are as follows: The timeouts happened quicker than in the previous tests because some calls were timing out before they attempted to connect to the server The first few calls that timed out did actually connect to the server and did execute successfully on the server   Test 2 – Increase Open Connection Timeout & Send Timeout In this test I wanted to increase both the send and open timeout values to try and give everything a chance to go through. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:10:00" receiveTimeout="00:10:00" sendTimeout="00:10:00"   The Test We simulated 21 calls to the web service   Test Results The client side trace for this test was   The server-side trace for this test was: Some observations on this test are: This test proved if the timeouts are high enough everything will just go through   Test 3 – Increase just the Send Timeout In this test we wanted to increase just the send timeout. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:01:00" receiveTimeout="00:10:00" sendTimeout="00:10:00"   The Test We simulated 21 calls to the web service   Test Results The below is the client side trace The below is the server side trace Some observations on this test are: In this test from both the client and server perspective everything ran through fine The open connection timeout did not seem to have any effect   Test 4 – Increase Just the Open Connection Timeout In this test I wanted to validate the change to the open connection setting by increasing just this on its own. The timeout values for this test are: closeTimeout="00:01:00" openTimeout="00:10:00" receiveTimeout="00:10:00" sendTimeout="00:01:00"   The Test We simulated 21 calls to the web service Test Results The client side trace was The server side trace was Some observations on this test are: In this test you can see that the open connection which relates to opening the channel timeout increase was not the thing which stopped the calls timing out It's the send of data which is timing out On the server you can see that the successful few calls were fine but there were also a few calls which hit the server but timed out on the client You can see that not all calls hit the server which was one of the problems with the WSE and ASMX options   Test 5 – Smaller Increase in Send Timeout In this test I wanted to make a smaller increase to the send timeout than previous just to prove that it was the key setting which was controlling what was timing out. The timeout values for this test are: openTimeout="00:01:00" receiveTimeout="00:10:00" sendTimeout="00:02:30"   The Test We simulated 21 calls to the web service Test Results The client side trace was   The server side trace was Some observations on this test are: You can see that most of the calls got through fine On the client you can see that call 20 timed out but still hit the server and executed fine.   Summary At this point between the two articles we have quite a lot of scenarios showing the different way the timeout setting have played into our original performance issue, and now we can see how WCF could offer an improved way to handle the problem. To summarise the differences in the timeout properties for the three technology stacks: ASMX The timeout value only applies to the execution time of your request on the server. The timeout does not consider how long your code might be waiting client side to get a connection. WSE The timeout value includes both the time to obtain a connection and also the time to execute the request. A timeout will not be thrown as an error until an attempt to connect to the server is made. This means a 40 second timeout setting may not throw the error until 60 seconds when the connection to the server is made. If the connection to the server is made you should be aware that your message will be processed and you should design for this. WCF The WCF send timeout is the setting most equivalent to the settings we were looking at previously. Like WSE this setting the counter includes the time to get a connection as well as the time to execute on a server. Unlike WSE and ASMX an error will be thrown as soon as the send timeout from making your call from user code has elapsed regardless of whether we are waiting for a connection or have an open connection to the server. This may to a user appear to have better latency in getting an error response compared to WSE or ASMX.

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• Union,Except and Intersect operator in Linq

  - by Jalpesh P. Vadgama

  While developing a windows service using Linq-To-SQL i was in need of something that will intersect the two list and return a list with the result. After searching on net i have found three great use full operators in Linq Union,Except and Intersect. Here are explanation of each operator. Union Operator: Union operator will combine elements of both entity and return result as third new entities. Except Operator: Except operator will remove elements of first entities which elements are there in second entities and will return as third new entities. Intersect Operator: As name suggest it will return common elements of both entities and return result as new entities. Let’s take a simple console application as  a example where i have used two string array and applied the three operator one by one and print the result using Console.Writeline. Here is the code for that. C#, using GeSHi 1.0.8.6 using System; using System.Collections.Generic; using System.Linq; using System.Text;     namespace ConsoleApplication1 {     class Program     {         static void Main(string[] args)         {             string[] a = { "a", "b", "c", "d" };             string[] b = { "d","e","f","g"};               var UnResult = a.Union(b);             Console.WriteLine("Union Result");               foreach (string s in UnResult)             {                 Console.WriteLine(s);                          }               var ExResult = a.Except(b);             Console.WriteLine("Except Result");             foreach (string s in ExResult)             {                 Console.WriteLine(s);             }               var InResult = a.Intersect(b);             Console.WriteLine("Intersect Result");             foreach (string s in InResult)             {                 Console.WriteLine(s);             }             Console.ReadLine();                        }          } }   Parsed in 0.022 seconds at 45.54 KB/s Here is the output of console application as Expected. Hope this will help you.. Technorati Tags: Linq,Except,InterSect,Union,C#

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• Big Data – Operational Databases Supporting Big Data – RDBMS and NoSQL – Day 12 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the Cloud in the Big Data Story. In this article we will understand the role of Operational Databases Supporting Big Data Story. Even though we keep on talking about Big Data architecture, it is extremely crucial to understand that Big Data system can’t just exist in the isolation of itself. There are many needs of the business can only be fully filled with the help of the operational databases. Just having a system which can analysis big data may not solve every single data problem. Real World Example Think about this way, you are using Facebook and you have just updated your information about the current relationship status. In the next few seconds the same information is also reflected in the timeline of your partner as well as a few of the immediate friends. After a while you will notice that the same information is now also available to your remote friends. Later on when someone searches for all the relationship changes with their friends your change of the relationship will also show up in the same list. Now here is the question – do you think Big Data architecture is doing every single of these changes? Do you think that the immediate reflection of your relationship changes with your family member is also because of the technology used in Big Data. Actually the answer is Facebook uses MySQL to do various updates in the timeline as well as various events we do on their homepage. It is really difficult to part from the operational databases in any real world business. Now we will see a few of the examples of the operational databases. Relational Databases (This blog post) NoSQL Databases (This blog post) Key-Value Pair Databases (Tomorrow’s post) Document Databases (Tomorrow’s post) Columnar Databases (The Day After’s post) Graph Databases (The Day After’s post) Spatial Databases (The Day After’s post) Relational Databases We have earlier discussed about the RDBMS role in the Big Data’s story in detail so we will not cover it extensively over here. Relational Database is pretty much everywhere in most of the businesses which are here for many years. The importance and existence of the relational database are always going to be there as long as there are meaningful structured data around. There are many different kinds of relational databases for example Oracle, SQL Server, MySQL and many others. If you are looking for Open Source and widely accepted database, I suggest to try MySQL as that has been very popular in the last few years. I also suggest you to try out PostgreSQL as well. Besides many other essential qualities PostgreeSQL have very interesting licensing policies. PostgreSQL licenses allow modifications and distribution of the application in open or closed (source) form. One can make any modifications and can keep it private as well as well contribute to the community. I believe this one quality makes it much more interesting to use as well it will play very important role in future. Nonrelational Databases (NOSQL) We have also covered Nonrelational Dabases in earlier blog posts. NoSQL actually stands for Not Only SQL Databases. There are plenty of NoSQL databases out in the market and selecting the right one is always very challenging. Here are few of the properties which are very essential to consider when selecting the right NoSQL database for operational purpose. Data and Query Model Persistence of Data and Design Eventual Consistency Scalability Though above all of the properties are interesting to have in any NoSQL database but the one which most attracts to me is Eventual Consistency. Eventual Consistency RDBMS uses ACID (Atomicity, Consistency, Isolation, Durability) as a key mechanism for ensuring the data consistency, whereas NonRelational DBMS uses BASE for the same purpose. Base stands for Basically Available, Soft state and Eventual consistency. Eventual consistency is widely deployed in distributed systems. It is a consistency model used in distributed computing which expects unexpected often. In large distributed system, there are always various nodes joining and various nodes being removed as they are often using commodity servers. This happens either intentionally or accidentally. Even though one or more nodes are down, it is expected that entire system still functions normally. Applications should be able to do various updates as well as retrieval of the data successfully without any issue. Additionally, this also means that system is expected to return the same updated data anytime from all the functioning nodes. Irrespective of when any node is joining the system, if it is marked to hold some data it should contain the same updated data eventually. As per Wikipedia - Eventual consistency is a consistency model used in distributed computing that informally guarantees that, if no new updates are made to a given data item, eventually all accesses to that item will return the last updated value. In other words -  Informally, if no additional updates are made to a given data item, all reads to that item will eventually return the same value. Tomorrow In tomorrow’s blog post we will discuss about various other Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• The Unspoken - The Why of GC Ergonomics

  - by jonthecollector

  Do you use GC ergonomics, -XX:+UseAdaptiveSizePolicy, with the UseParallelGC collector? The jist of GC ergonomics for that collector is that it tries to grow or shrink the heap to meet a specified goal. The goals that you can choose are maximum pause time and/or throughput. Don't get too excited there. I'm speaking about UseParallelGC (the throughput collector) so there are definite limits to what pause goals can be achieved. When you say out loud "I don't care about pause times, give me the best throughput I can get" and then say to yourself "Well, maybe 10 seconds really is too long", then think about a pause time goal. By default there is no pause time goal and the throughput goal is high (98% of the time doing application work and 2% of the time doing GC work). You can get more details on this in my very first blog. GC ergonomics The UseG1GC has its own version of GC ergonomics, but I'll be talking only about the UseParallelGC version. If you use this option and wanted to know what it (GC ergonomics) was thinking, try -XX:AdaptiveSizePolicyOutputInterval=1 This will print out information every i-th GC (above i is 1) about what the GC ergonomics to trying to do. For example, UseAdaptiveSizePolicy actions to meet *** throughput goal *** GC overhead (%) Young generation: 16.10 (attempted to grow) Tenured generation: 4.67 (attempted to grow) Tenuring threshold: (attempted to decrease to balance GC costs) = 1 GC ergonomics tries to meet (in order) Pause time goal Throughput goal Minimum footprint The first line says that it's trying to meet the throughput goal. UseAdaptiveSizePolicy actions to meet *** throughput goal *** This run has the default pause time goal (i.e., no pause time goal) so it is trying to reach a 98% throughput. The lines Young generation: 16.10 (attempted to grow) Tenured generation: 4.67 (attempted to grow) say that we're currently spending about 16% of the time doing young GC's and about 5% of the time doing full GC's. These percentages are a decaying, weighted average (earlier contributions to the average are given less weight). The source code is available as part of the OpenJDK so you can take a look at it if you want the exact definition. GC ergonomics is trying to increase the throughput by growing the heap (so says the "attempted to grow"). The last line Tenuring threshold: (attempted to decrease to balance GC costs) = 1 says that the ergonomics is trying to balance the GC times between young GC's and full GC's by decreasing the tenuring threshold. During a young collection the younger objects are copied to the survivor spaces while the older objects are copied to the tenured generation. Younger and older are defined by the tenuring threshold. If the tenuring threshold hold is 4, an object that has survived fewer than 4 young collections (and has remained in the young generation by being copied to the part of the young generation called a survivor space) it is younger and copied again to a survivor space. If it has survived 4 or more young collections, it is older and gets copied to the tenured generation. A lower tenuring threshold moves objects more eagerly to the tenured generation and, conversely a higher tenuring threshold keeps copying objects between survivor spaces longer. The tenuring threshold varies dynamically with the UseParallelGC collector. That is different than our other collectors which have a static tenuring threshold. GC ergonomics tries to balance the amount of work done by the young GC's and the full GC's by varying the tenuring threshold. Want more work done in the young GC's? Keep objects longer in the survivor spaces by increasing the tenuring threshold. This is an example of the output when GC ergonomics is trying to achieve a pause time goal UseAdaptiveSizePolicy actions to meet *** pause time goal *** GC overhead (%) Young generation: 20.74 (no change) Tenured generation: 31.70 (attempted to shrink) The pause goal was set at 50 millisecs and the last GC was 0.415: [Full GC (Ergonomics) [PSYoungGen: 2048K-0K(26624K)] [ParOldGen: 26095K-9711K(28992K)] 28143K-9711K(55616K), [Metaspace: 1719K-1719K(2473K/6528K)], 0.0758940 secs] [Times: user=0.28 sys=0.00, real=0.08 secs] The full collection took about 76 millisecs so GC ergonomics wants to shrink the tenured generation to reduce that pause time. The previous young GC was 0.346: [GC (Allocation Failure) [PSYoungGen: 26624K-2048K(26624K)] 40547K-22223K(56768K), 0.0136501 secs] [Times: user=0.06 sys=0.00, real=0.02 secs] so the pause time there was about 14 millisecs so no changes are needed. If trying to meet a pause time goal, the generations are typically shrunk. With a pause time goal in play, watch the GC overhead numbers and you will usually see the cost of setting a pause time goal (i.e., throughput goes down). If the pause goal is too low, you won't achieve your pause time goal and you will spend all your time doing GC. GC ergonomics is meant to be simple because it is meant to be used by anyone. It was not meant to be mysterious and so this output was added. If you don't like what GC ergonomics is doing, you can turn it off with -XX:-UseAdaptiveSizePolicy, but be pre-warned that you have to manage the size of the generations explicitly. If UseAdaptiveSizePolicy is turned off, the heap does not grow. The size of the heap (and the generations) at the start of execution is always the size of the heap. I don't like that and tried to fix it once (with some help from an OpenJDK contributor) but it unfortunately never made it out the door. I still have hope though. Just a side note. With the default throughput goal of 98% the heap often grows to it's maximum value and stays there. Definitely reduce the throughput goal if footprint is important. Start with -XX:GCTimeRatio=4 for a more modest throughput goal (%20 of the time spent in GC). A higher value means a smaller amount of time in GC (as the throughput goal).

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• Surface and the Uphill Battle to Win Over iPad Users (Namely: Me)

  - by D'Arcy Lussier

  I went away this past weekend and decided to bring along the Windows 8 tablet from the Build conference last year – y’know, to give Windows 8 a try in a typical scenario. I also brought our iPad 2 along since I figured my wife would want to use that. I’d love to tell you how I found using my Windows 8 tablet but I can’t – I used the iPad exclusively the entire weekend. It was during this that I realized what Microsoft needs to do to win me over as an iPad user. As you’ll see, I’m left wondering what it is that Surface is meant to compete with: iPad and other tablets, or thin laptops like the MacBook Air or Ultrabooks. Device Size I really like the size of the iPad compared with the Build tablet. It’s not as long and the thinness/weight of the device makes it feel more like you’re holding a magazine than a computer. I’m pleased that Microsoft will be matching the thinness of the iPad with Surface, but I’m suspect as to what that actually means. The iPad’s edges slant inwards where the Surface has a thicker boxish look (similar to the iPhone 4S). So while they may have the same depth at the deepest part of both devices, I bet the iPad will come off feeling thinner. However, its not lost on me the number of external port options the Surface’s design provides over the iPad (Usb, etc.). With that said, I haven’t missed having a USB slot on my iPad. I’m not a fan of lengthening the Surface screen size to almost a full inch over the iPad, mainly because… Vertical Orientation Experience Did you notice at the announce event, in the images of the devices that have been released, and in any marketing for it, that the surface is always displayed in horizontal orientation. This is a huge beef I have with my Build tablet and why I prefer the iPad. Yes the iPad can do the wide-screenish mode, but the iPad is oriented to be vertical by nature. Don’t agree? Look at the button and camera placement – both on the shorter sides of the device. Compare that with the Surface, where the orientation for the button and camera is on the longer sides. To be fair, Blackberry and the horde of Android tablets out there haven’t gotten this either – since most monitors are widescreen nowadays tablets should be too right? Wrong. Widescreen is great for certain things, but tasks such as reading is not one of them – hence why monitor companies like Dell provide stands that allow you to flip your widescreen monitor to a vertical orientation. That Microsoft has chosen a horizontal orientation by default for Windows 8 is disappointing – hopefully hardware manufacturers will be given the option of a default vertical orientation. Fast Startup Time I like that I can turn off/turn on the iPad very quickly. Even from a true “off” mode and not just sleeping, the iPad boots up very quickly. Windows RT needs to have that same quick response. If I start finding that I’m waiting for the device to boot up for more than 30 seconds that could be a show stopper. No Heat I really hate that the Build tablet has fans that kick in to cool the procs, but its basically a slate computer and I get its part of that prototype build. For Surface, it needs to be the same type of experience as the iPad – no heat! I know Surface doesn’t have fans and uses some cool new vent system or something like that, but even then – I want to sit and read a book on my Surface without having to feel any heat coming from the device, which is the experience I have with the iPad now. What About Apps?! I am definitely not the target client when it comes to app stores. On my iPad I use: Safari Kindle Reader Twitter App Settlers of Catan TSN’s App And that’s it. So really, while its nice that some version of Office might be available, I’m not planning on utilizing a Surface for creating a PowerPoint or working on a Word document – that’s what my laptop is for. I want my tablet to be for information snacking or as an e-reader and occasionally an entertainment device. Surface vs iPad or Surface vs Air? The more that I read up on Surface, the more I wonder if it won’t be a touch-enabled MacBook Air competitor more than an iPad one. Also, I really question if Microsoft gets tablets – when one of your main selling features is a built-in physical keyboard it speaks more to a traditional laptop experience than a tablet one that’s entirely reliant on touch. Still, I really love the Windows Phone interface – way more than iOS – so I’m still very optimistic that the Metro experience on the tablet will be fantastic. I just worry that Microsoft has interpreted a tablet as a computer with a removable keyboard and a touch screen, and that’s not what tablet computing is about at all.

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• ASSIMP in my program is much slower to import than ASSIMP view program

  - by Marco

  The problem is really simple: if I try to load with the function aiImportFileExWithProperties a big model in my software (around 200.000 vertices), it takes more than one minute. If I try to load the very same model with ASSIMP view, it takes 2 seconds. For this comparison, both my software and Assimp view are using the dll version of the library at 64 bit, compiled by myself (Assimp64.dll). This is the relevant piece of code in my software // default pp steps unsigned int ppsteps = aiProcess_CalcTangentSpace | // calculate tangents and bitangents if possible aiProcess_JoinIdenticalVertices | // join identical vertices/ optimize indexing aiProcess_ValidateDataStructure | // perform a full validation of the loader's output aiProcess_ImproveCacheLocality | // improve the cache locality of the output vertices aiProcess_RemoveRedundantMaterials | // remove redundant materials aiProcess_FindDegenerates | // remove degenerated polygons from the import aiProcess_FindInvalidData | // detect invalid model data, such as invalid normal vectors aiProcess_GenUVCoords | // convert spherical, cylindrical, box and planar mapping to proper UVs aiProcess_TransformUVCoords | // preprocess UV transformations (scaling, translation ...) aiProcess_FindInstances | // search for instanced meshes and remove them by references to one master aiProcess_LimitBoneWeights | // limit bone weights to 4 per vertex aiProcess_OptimizeMeshes | // join small meshes, if possible; aiProcess_SplitByBoneCount | // split meshes with too many bones. Necessary for our (limited) hardware skinning shader 0; cout << "Loading " << pFile << "... "; aiPropertyStore* props = aiCreatePropertyStore(); aiSetImportPropertyInteger(props,AI_CONFIG_IMPORT_TER_MAKE_UVS,1); aiSetImportPropertyFloat(props,AI_CONFIG_PP_GSN_MAX_SMOOTHING_ANGLE,80.f); aiSetImportPropertyInteger(props,AI_CONFIG_PP_SBP_REMOVE, aiPrimitiveType_LINE | aiPrimitiveType_POINT); aiSetImportPropertyInteger(props,AI_CONFIG_GLOB_MEASURE_TIME,1); //aiSetImportPropertyInteger(props,AI_CONFIG_PP_PTV_KEEP_HIERARCHY,1); // Call ASSIMPs C-API to load the file scene = (aiScene*)aiImportFileExWithProperties(pFile.c_str(), ppsteps | /* default pp steps */ aiProcess_GenSmoothNormals | // generate smooth normal vectors if not existing aiProcess_SplitLargeMeshes | // split large, unrenderable meshes into submeshes aiProcess_Triangulate | // triangulate polygons with more than 3 edges //aiProcess_ConvertToLeftHanded | // convert everything to D3D left handed space aiProcess_SortByPType | // make 'clean' meshes which consist of a single typ of primitives 0, NULL, props); aiReleasePropertyStore(props); if(!scene){ cout << aiGetErrorString() << endl; return 0; } this is the relevant piece of code in assimp view code // default pp steps unsigned int ppsteps = aiProcess_CalcTangentSpace | // calculate tangents and bitangents if possible aiProcess_JoinIdenticalVertices | // join identical vertices/ optimize indexing aiProcess_ValidateDataStructure | // perform a full validation of the loader's output aiProcess_ImproveCacheLocality | // improve the cache locality of the output vertices aiProcess_RemoveRedundantMaterials | // remove redundant materials aiProcess_FindDegenerates | // remove degenerated polygons from the import aiProcess_FindInvalidData | // detect invalid model data, such as invalid normal vectors aiProcess_GenUVCoords | // convert spherical, cylindrical, box and planar mapping to proper UVs aiProcess_TransformUVCoords | // preprocess UV transformations (scaling, translation ...) aiProcess_FindInstances | // search for instanced meshes and remove them by references to one master aiProcess_LimitBoneWeights | // limit bone weights to 4 per vertex aiProcess_OptimizeMeshes | // join small meshes, if possible; aiProcess_SplitByBoneCount | // split meshes with too many bones. Necessary for our (limited) hardware skinning shader 0; aiPropertyStore* props = aiCreatePropertyStore(); aiSetImportPropertyInteger(props,AI_CONFIG_IMPORT_TER_MAKE_UVS,1); aiSetImportPropertyFloat(props,AI_CONFIG_PP_GSN_MAX_SMOOTHING_ANGLE,g_smoothAngle); aiSetImportPropertyInteger(props,AI_CONFIG_PP_SBP_REMOVE,nopointslines ? aiPrimitiveType_LINE | aiPrimitiveType_POINT : 0 ); aiSetImportPropertyInteger(props,AI_CONFIG_GLOB_MEASURE_TIME,1); //aiSetImportPropertyInteger(props,AI_CONFIG_PP_PTV_KEEP_HIERARCHY,1); // Call ASSIMPs C-API to load the file g_pcAsset->pcScene = (aiScene*)aiImportFileExWithProperties(g_szFileName, ppsteps | /* configurable pp steps */ aiProcess_GenSmoothNormals | // generate smooth normal vectors if not existing aiProcess_SplitLargeMeshes | // split large, unrenderable meshes into submeshes aiProcess_Triangulate | // triangulate polygons with more than 3 edges aiProcess_ConvertToLeftHanded | // convert everything to D3D left handed space aiProcess_SortByPType | // make 'clean' meshes which consist of a single typ of primitives 0, NULL, props); aiReleasePropertyStore(props); As you can see the code is nearly identical because I copied from assimp view. What could be the reason for such a difference in performance? The two software are using the same dll Assimp64.dll (compiled in my computer with vc++ 2010 express) and the same function aiImportFileExWithProperties to load the model, so I assume that the actual code employed is the same. How is it possible that the function aiImportFileExWithProperties is 100 times slower when called by my sotware than when called by assimp view? What am I missing? I am not good with dll, dynamic and static libraries so I might be missing something obvious. ------------------------------ UPDATE I found out the reason why the code is going slower. Basically I was running my software with "Start debugging" in VC++ 2010 Express. If I run the code outside VC++ 2010 I get same performance of assimp view. However now I have a new question. Why does the dll perform slower in VC++ debugging? I compiled it in release mode without debugging information. Is there any way to have the dll go fast in debugmode i.e. not debugging the dll? Because I am interested in debugging only my own code, not the dll that I assume is already working fine. I do not want to wait 2 minutes every time I want to load my software to debug. Does this request make sense?

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• Parner Webcast - Innovations in Products Program

  - by Richard Lefebvre

  We are pleased to invite you to join the Innovations in Products –webcast. Innovations in Products will present Oracle Applications' Product's new functions and features including sales positioning. The key objectives of these webcasts are to inspire System Integrator's implementation personnel to conduct successful after sales in their Customer projects. Innovations in Products will be presented on the 1st Monday of each quarter after the billable day (4:00 to 5:00 PM CET). The webcast is intended for System Integrator's Implementation Certified Specialists but Innovations in Products is open for other interested Oracle Applications system Integrator's personnel as well. At first, two Oracle representatives will discuss Oracle's contribution to Partners. Then you will see product breakout session followed by Q&A with Oracle Experts. Each session will last for maximum 1 hour. A Q&A document covering all questions and answers will be made available after the webcast. What are the Benefits for partners? Find out how Innovations in Products helps you to improve your after sales Discover new functions and features so you can enrich your Customers's solution Learn more about Oracle Applications products, especially sales positioning Hear crucial questions raised by colleague alike, learn from their interest Engage and present your questions to subject experts Be inspired of the richness of Oracle Application portfolio – for your and your customer’s benefit Note: Should you already be familiar with a specific Product, then choose another one. Doing so you would expand your knowledge of the overall Applications portfolio. Some presentations contain product demonstration, although these presentations are not intended to be extremely detailed technical presentations. Note: At the latter part of this email you have also 17 links into the recent Applications Products presentations and 6 links into the Public Sector Value Proposition presentations that were presented in Innovations in Industries -program. Product breakout sessions: Topics Speaker To Register Fusion Applications Technology and Extensibility: A next-generation platform that adapts to client needs. Matthew Johnson, Sr. Director, SCM Product Development, EMEA CLICK HERE Fusion Applications - Transforming your Back-Office Accounting Function: Changing how people work in back office functions to drive value add Liam Nolan, Director, ERP Product Development, EMEA CLICK HERE Fusion HCM & Talent Overview & Extensibility: A more in-depth look into a personalized HCM solution Synco Jonkeren, Vice-President HCM Product Development & Management, EMEA CLICK HERE Fusion HCM Compensation Planning: Compensate To Compete Rosie Warner, Director, HCM Sales Development CLICK HERE Enterprise PLM for the Product Value Chain: Oracle Enterprise PLM offers Industry specific solutions that cover the Product Value Chain Ulf Köster, Sales Development Leader Enterprise PLM, Oracle Western Europe CLICK HERE Oracle's Asset Management and Maintenance Solution: What you need to know to successfully implement Oracle Asset Management solutions within Oracle Installed Base Philip Carey, Asset Management and Maintenance Solution Specialist CLICK HERE For more details please visit Innovations in Products and other breakout sessions on OPN page. Delivery Format Innovations in Products –program is a series of FREE prerecorded Applications product presentations followed by Q&A. It will be delivered over the Web. Participants have the opportunity to submit questions during the web cast via chat and subject matter experts will provide verbal answers live. Innovations in Products consists of several parallel prerecorded product breakout sessions, each lasting for max. 1 hour. At first, two Oracle representatives will discuss Oracle’s contribution to Partners. Then you’ll see the product breakout sessions followed by Q&A with Oracle Experts. A Q&A document covering all questions and answers will be made available after the webcast. You can also see Innovations in Products afterwards as its content will be available online for the next 6-12 months. The next Innovations in Products web casts will be presented as follows: July 2nd 2012 October 1st 2012 January 14th 2013 April 8th 2013. Note: Depending on local network bandwidth please allow some seconds time the presentations to download. You might want to refresh your screen by pressing F5. Duration Maximum 1 hour For further information please contact me Markku Rouhiainen. Recent Innovations in Products presentations Applications Products presented on April the 2nd, 2012 Speaker To Register Fusion CRM: Effective, Efficient and Easy James Penfold , Senior Director, Applications Product Development and Product Management CLICK HERE Fusion HCM: Talent management overview performance, goals, talent review Jaime Losantos Viñolas, Director, HCM Sales Development CLICK HERE Distributed Order Management - Fusion SCM Solution Vikram K Singla, Business Development Director, Supply Chain Management Applications, UK CLICK HERE Oracle Transportation Management Dominic Regan, Senior Director Oracle Transportation Management EMEA CLICK HERE Oracle Value Chain Planning: Demantra Sales & Operation Planning and Demantra Demand Management Lionel Albert, Senior Director Value Chain Planning, EMEA CLICK HERE Oracle CX (Customer Experience) - formerly CEM: Powering Great Customer Experiences Maria Ramirez , CRM Presales Consultant, EPC CLICK HERE EPM 11.1.2.2 Overview Nicholas Cox , EMEA Sales Development Director - Enterprise Performance Management CLICK HERE Oracle Hyperion Profitability and Cost Management, 11.1.2.1 Daniela Lazar , Senior EPM Sales Consultant, EPC CLICK HERE January the 16th 2012 Speaker To Register CRM / ATG: Best-in-Class CRM & Commerce Maria Ramirez , Associate CRM Presales Consultant, EPC CLICK HERE CRM / Automate Business Rules for Maximum Efficiency with OPA (Oracle Policy Automation) Marco Nilo, Associate CRM Presales Consultant, EPC CLICK HERE CRM / InQuira Toby Baker, Principal Sales Consultant, CRM Product Specialist Team CLICK HERE EPM / Business Intelligence Foundation Suite – Sales and Product Updates Liviu Nitescu, Senior BI Sales Consultant, EPC CLICK HERE EPM / Hyperion Planning 11.1.2.1 - Sales & Product Updates Andreea Voinea, EPM Sales Consultant, EPC CLICK HERE ERP / JDE EnterpriseOne Fulfillment Management Overview Mirela Andreea Nasta , ERP Presales Consultant, EPC CLICK HERE ERP / Spotlights on iExpenses Elena Nita ,ERP Presales Consultant, EPC CLICK HERE MDM / Master Data Management Martin Boyd , Senior Director Product Strategy CLICK HERE Product break through session Fusion Applications Human Capital Management Rosie Warner , Director, HCM Sales Development CLICK HERE Recent Innovations in Industries Value Proposition presentations January the 16th 2012 Speaker To Register Process Modernisation Iemke Idsingh Public Sector Solutions Director CLICK HERE Shared Services Ann Smith Business Development Director, Shared Services CLICK HERE Strengthening Financial Discipline Whilst Delivering Cashable Savings Philippa Headley UK Sales Development Director Public Sector - EPM Solutions CLICK HERE Social Welfare Industry Solutions Christian Wernberg-Tougaard Industry Director - Social Welfare CLICK HERE Police Industry Solutions Jeff Penrose Solution Sales Director CLICK HERE Tax and Revenue Management Industry Solutions Andre van der Post Global Director - Tax Solutions and Strategy CLICK HERE  

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• SPARC T4-4 Delivers World Record First Result on PeopleSoft Combined Benchmark

  - by Brian

  Oracle's SPARC T4-4 servers running Oracle's PeopleSoft HCM 9.1 combined online and batch benchmark achieved World Record 18,000 concurrent users while executing a PeopleSoft Payroll batch job of 500,000 employees in 43.32 minutes and maintaining online users response time at < 2 seconds. This world record is the first to run online and batch workloads concurrently. This result was obtained with a SPARC T4-4 server running Oracle Database 11g Release 2, a SPARC T4-4 server running PeopleSoft HCM 9.1 application server and a SPARC T4-2 server running Oracle WebLogic Server in the web tier. The SPARC T4-4 server running the application tier used Oracle Solaris Zones which provide a flexible, scalable and manageable virtualization environment. The average CPU utilization on the SPARC T4-2 server in the web tier was 17%, on the SPARC T4-4 server in the application tier it was 59%, and on the SPARC T4-4 server in the database tier was 35% (online and batch) leaving significant headroom for additional processing across the three tiers. The SPARC T4-4 server used for the database tier hosted Oracle Database 11g Release 2 using Oracle Automatic Storage Management (ASM) for database files management with I/O performance equivalent to raw devices. This is the first three tier mixed workload (online and batch) PeopleSoft benchmark also processing PeopleSoft payroll batch workload. Performance Landscape PeopleSoft HR Self-Service and Payroll Benchmark Systems Users Ave Response Search (sec) Ave Response Save (sec) Batch Time (min) Streams SPARC T4-2 (web) SPARC T4-4 (app) SPARC T4-2 (db) 18,000 0.944 0.503 43.32 64 Configuration Summary Application Configuration: 1 x SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 512 GB memory 5 x 300 GB SAS internal disks 1 x 100 GB and 2 x 300 GB internal SSDs 2 x 10 Gbe HBA Oracle Solaris 11 11/11 PeopleTools 8.52 PeopleSoft HCM 9.1 Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031 Java Platform, Standard Edition Development Kit 6 Update 32 Database Configuration: 1 x SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 256 GB memory 3 x 300 GB SAS internal disks Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Web Tier Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 2 x 300 GB SAS internal disks 1 x 100 GB internal SSD Oracle Solaris 11 11/11 PeopleTools 8.52 Oracle WebLogic Server 10.3.4 Java Platform, Standard Edition Development Kit 6 Update 32 Storage Configuration: 1 x Sun Server X2-4 as a COMSTAR head for data 4 x Intel Xeon X7550, 2.0 GHz 128 GB memory 1 x Sun Storage F5100 Flash Array (80 flash modules) 1 x Sun Storage F5100 Flash Array (40 flash modules) 1 x Sun Fire X4275 as a COMSTAR head for redo logs 12 x 2 TB SAS disks with Niwot Raid controller Benchmark Description This benchmark combines PeopleSoft HCM 9.1 HR Self Service online and PeopleSoft Payroll batch workloads to run on a unified database deployed on Oracle Database 11g Release 2. The PeopleSoft HRSS benchmark kit is a Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark where DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published. PeopleSoft HR SS defines a business transaction as a series of HTML pages that guide a user through a particular scenario. Users are defined as corporate Employees, Managers and HR administrators. The benchmark consist of 14 scenarios which emulate users performing typical HCM transactions such as viewing paycheck, promoting and hiring employees, updating employee profile and other typical HCM application transactions. All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. This benchmark metric is the weighted average response search/save time for all the transactions. The PeopleSoft 9.1 Payroll (North America) benchmark demonstrates system performance for a range of processing volumes in a specific configuration. This workload represents large batch runs typical of a ERP environment during a mass update. The benchmark measures five application business process run times for a database representing large organization. They are Paysheet Creation, Payroll Calculation, Payroll Confirmation, Print Advice forms, and Create Direct Deposit File. The benchmark metric is the cumulative elapsed time taken to complete the Paysheet Creation, Payroll Calculation and Payroll Confirmation business application processes. The benchmark metrics are taken for each respective benchmark while running simultaneously on the same database back-end. Specifically, the payroll batch processes are started when the online workload reaches steady state (the maximum number of online users) and overlap with online transactions for the duration of the steady state. Key Points and Best Practices Two Oracle PeopleSoft Domain sets with 200 application servers each on a SPARC T4-4 server were hosted in 2 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers, ease of administration and performance tuning. Each Oracle Solaris Zone was bound to a separate processor set, each containing 15 cores (total 120 threads). The default set (1 core from first and third processor socket, total 16 threads) was used for network and disk interrupt handling. This was done to improve performance by reducing memory access latency by using the physical memory closest to the processors and offload I/O interrupt handling to default set threads, freeing up cpu resources for Application Servers threads and balancing application workload across 240 threads. See Also Oracle PeopleSoft Benchmark White Papers oracle.com SPARC T4-2 Server oracle.com OTN SPARC T4-4 Server oracle.com OTN PeopleSoft Enterprise Human Capital Management oracle.com OTN PeopleSoft Enterprise Human Capital Management (Payroll) oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Oracle's PeopleSoft HR and Payroll combined benchmark, www.oracle.com/us/solutions/benchmark/apps-benchmark/peoplesoft-167486.html, results 09/30/2012.

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• Monitoring Events in your BPEL Runtime - RSS Feeds?

  - by Ramkumar Menon

  @10g - It had been a while since I'd tried something different. so here's what I did this week!Whenever our Developers deployed processes to the BPEL runtime, or perhaps when a process gets turned off due to connectivity issues, or maybe someone retired a process, I needed to know. So here's what I did. Step 1: Downloaded Quartz libraries and went through the documentation to understand what it takes to schedule a recurring job. Step 2: Cranked out two components using Oracle JDeveloper. [Within a new Web Project] a) A simple Java Class named FeedUpdater that extends org.quartz.Job. All this class does is to connect to your BPEL Runtime [via opmn:ormi] and fetch all events that occured in the last "n" minutes. events? - If it doesn't ring a bell - its right there on the BPEL Console. If you click on "Administration > Process Log" - what you see are events.The API to retrieve the events is //get the locator reference for the domain you are interested in.Locator l = .... //Predicate to retrieve events for last "n" minutesWhereCondition wc = new WhereCondition(...) //get all those events you needed.BPELProcessEvent[] events = l.listProcessEvents(wc); After you get all these events, write out these into an RSS Feed XML structure and stream it into a file that resides either in your Apache htdocs, or wherever it can be accessed via HTTP.You can read all about RSS 2.0 here. At a high level, here is how it looks like. <?xml version = '1.0' encoding = 'UTF-8'?><rss version="2.0">  <channel>    <title>Live Updates from the Development Environment</title>    <link>http://soadev.myserver.com/feeds/</link>    <description>Live Updates from the Development Environment</description>    <lastBuildDate>Fri, 19 Nov 2010 01:03:00 PST</lastBuildDate>    <language>en-us</language>    <ttl>1</ttl>    <item>      <guid>1290213724692</guid>      <title>Process compiled</title>      <link>http://soadev.myserver.com/BPELConsole/mdm_product/administration.jsp?mode=processLog&amp;processName=&amp;dn=all&amp;eventType=all&amp;eventDate=600&amp;Filter=++Filter++</link>      <pubDate>Fri Nov 19 00:00:37 PST 2010</pubDate>      <description>SendPurchaseOrderRequestService: 3.0 Time : Fri Nov 19 00:00:37                   PST 2010</description>    </item>   ...... </channel> </rss> For writing ut XML content, read through Oracle XML Parser APIs - [search around for oracle.xml.parser.v2] b) Now that my "Job" was done, my job was half done. Next, I wrote up a simple Scheduler Servlet that schedules the above "Job" class to be executed ever "n" minutes. It is very straight forward. Here is the primary section of the code.           try {        Scheduler sched = StdSchedulerFactory.getDefaultScheduler();         //get n and make a trigger that executes every "n" seconds        Trigger trigger = TriggerUtils.makeSecondlyTrigger(n);        trigger.setName("feedTrigger" + System.currentTimeMillis());        trigger.setGroup("feedGroup");                JobDetail job = new JobDetail("SOA_Feed" + System.currentTimeMillis(), "feedGroup", FeedUpdater.class);        sched.scheduleJob(job,trigger);         }catch(Exception ex) {            ex.printStackTrace();            throw new ServletException(ex.getMessage());        } Look up the Quartz API and documentation. It will make this look much simpler.   Now that both components were ready, I packaged the Application into a war file and deployed it onto my Application Server. When the servlet initialized, the "n" second schedule was set/initialized. From then on, the servlet kept populating the RSS Feed file. I just ensured that my "Job" code keeps only 30 latest events within it, so that the feed file is small and under control. [a few kbs]   Next I opened up the feed xml on my browser - It requested a subscription - and Here I was - watching new deployments/life cycle events all popping up on my browser toolbar every 5 (actually n)  minutes!   Well, you could do it on a browser/reader of your choice - or perhaps read them like you read an email on your thunderbird!.      

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• Justifiable Perks.

  - by Phil Factor

      I was once the director of a start-up IT Company, and had the task of recruiting a proportion of the management team. As my background was in IT management, I was rather more familiar with recruiting Geeks for technology jobs, but here, one of my early tasks was interviewing a Marketing Director.  The small group of financiers had suggested a rather strange Irishman called  Halleran.  From my background in City of London dealing-rooms, I was slightly unprepared for the experience of interviewing anyone wearing a pink suit. Many of my older City colleagues would have required resuscitation after seeing his white leather shoes. However, nobody will accuse me of prejudging an interviewee. After all, many Linux experts who I’ve come to rely on have appeared for interview dressed as hobbits. In fact, the interview went well, and we had even settled his salary.  I was somewhat unprepared for the coda.    ‘And I will need to be provided with a Ferrari  by the company.’    ‘Hmm. That seems reasonable.’    Initially, he looked startled, and then a slow smile of victory spread across his face.    ‘What colour would you like?’ I asked genially.    ‘It has to be red.’ He looked very earnest on this point.    ‘Fine. I have to go past Hamleys on the way home this evening, so I’ll pick one up then for you.’    ‘Er.. Hamley’s is a toyshop, not a Ferrari Dealership.’    I stared at him in bafflement for a few seconds. ‘You’re not seriously asking for a real Ferrari are you?’     ‘Well, yes. Not for my own sake, you understand. I’d much prefer a simple run-about, but my position demands it. How could I maintain the necessary status in the office without one? How could I do my job in marketing when my grey Datsun was all too visible in the car Park? It is a tool of the job.’    ‘Excuse me a moment, but I must confer with the MD’    I popped out to see Chris, the MD. ‘Chris, I’m interviewing a lunatic in a pink suit who is trying to demand that a Ferrari is a precondition of his employment. I tried the ‘misunderstanding trick’ but it didn’t faze him.’     ‘Sorry, Phil, but we’ve got to hire him. The VCs insist on it. You’ve got to think of something that doesn’t involve committing to the purchase of a Ferrari. Current funding barely covers the rent for the building.’    ‘OK boss. Leave it to me.’    On return, I slapped O’Halleran’s file on the table with a genial, paternalistic smile. ‘Of course you should have a Ferrari. The only trouble is that it will require a justification document that can be presented to the board. I’m sure you’ll have no problem in preparing this document in the required format.’ The initial look of despair was quickly followed by a bland look of acquiescence. He had, earlier in the interview, argued with great eloquence his skill in preparing the tiresome documents that underpin the essential corporate and government deals that were vital to the success of this new enterprise. The justification of a Ferrari should be a doddle.     After the interview, Chris nervously asked how I’d fared.     ‘I think it is all solved.’    ‘… without promising a Ferrari, I hope.’    ‘Well, I did actually; on condition he justified it in writing.’    Chris issued a stream of invective. The strain of juggling the resources in an underfunded startup was beginning to show.    ‘Don’t worry. In the unlikely event of him coming back with the required document, I’ll give him mine.’    ‘Yours?’ He strode over to the window to stare down at the car park.    He needn’t have worried: I knew that his breed of marketing man could more easily lay an ostrich egg than to prepare a decent justification document. My Ferrari is still there at the back of my garage. Few know of the Ferrari cultivator, a simple inexpensive motorized device designed for the subsistence farmers of southern Italy. It is the very devil to start, but it creates a perfect tilth for the seedbed.

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• Create Advanced Panoramas with Microsoft Image Composite Editor

  - by Matthew Guay

  Do you enjoy making panoramas with your pictures, but want more features than tools like Live Photo Gallery offer?  Here’s how you can create amazing panoramas for free with the Microsoft Image Composite Editor. Yesterday we took a look at creating panoramic photos in Windows Live Photo Gallery. Today we take a look at a free tool from Microsoft that will give you more advanced features to create your own masterpiece. Getting Started Download Microsoft Image Composite Editor from Microsoft Research (link below), and install as normal.  Note that there are separate version for 32 & 64-bit editions of Windows, so make sure to download the correct one for your computer. Once it’s installed, you can proceed to create awesome panoramas and extremely large image combinations with it.  Microsoft Image Composite Editor integrates with Live Photo Gallery, so you can create more advanced panoramic pictures directly.  Select the pictures you want to combine, click Extras in the menu bar, and select Create Image Composite. You can also create a photo stitch directly from Explorer.  Select the pictures you want to combine, right-click, and select Stitch Images… Or, simply launch the Image Composite Editor itself and drag your pictures into its editor.  Either way you start a image composition, the program will automatically analyze and combine your images.  This application is optimized for multiple cores, and we found it much faster than other panorama tools such as Live Photo Gallery. Within seconds, you’ll see your panorama in the top preview pane. From the bottom of the window, you can choose a different camera motion which will change how the program stitches the pictures together.  You can also quickly crop the picture to the size you want, or use Automatic Crop to have the program select the maximum area with a continuous picture.   Here’s how our panorama looked when we switched the Camera Motion to Planar Motion 2. But, the real tweaking comes in when you adjust the panorama’s projection and orientation.  Click the box button at the top to change these settings. The panorama is now overlaid with a grid, and you can drag the corners and edges of the panorama to change its shape. Or, from the Projection button at the top, you can choose different projection modes. Here we’ve chosen Cylinder (Vertical), which entirely removed the warp on the walls in the image.  You can pan around the image, and get the part you find most important in the center.  Click the Apply button on the top when you’re finished making changes, or click Revert if you want to switch to the default view settings. Once you’ve finished your masterpiece, you can export it easily to common photo formats from the Export panel on the bottom.  You can choose to scale the image or set it to a maximum width and height as well.  Click Export to disk to save the photo to your computer, or select Publish to Photosynth to post your panorama online. Alternately, from the File menu you can choose to save the panorama as .spj file.  This preserves all of your settings in the Image Composite Editor so you can edit it more in the future if you wish.   Conclusion Whether you’re trying to capture the inside of a building or a tall tree, the extra tools in Microsoft Image Composite Editor let you make nicer panoramas than you ever thought possible.  We found the final results surprisingly accurate to the real buildings and objects, especially after tweaking the projection modes.  This tool can be both fun and useful, so give it a try and let us know what you’ve found it useful for. Works with 32 & 64-bit versions of XP, Vista, and Windows 7 Link Download Microsoft Image Composite Editor Similar Articles Productive Geek Tips Change or Set the Greasemonkey Script Editor in FirefoxNew Vista Syntax for Opening Control Panel Items from the Command-lineTune Your ClearType Font Settings in Windows VistaChange the Default Editor From Nano on Ubuntu LinuxMake MSE Create a Restore Point Before Cleaning Malware 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 Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 Get a free copy of WinUtilities Pro 2010 World Cup Schedule Boot Snooze – Reboot and then Standby or Hibernate Customize Everything Related to Dates, Times, Currency and Measurement in Windows 7 Google Earth replacement Icon (Icons we like) Build Great Charts in Excel with Chart Advisor

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• Why is my Ubuntu system not using the correct kernel?

  - by Brooks Moses

  We're having a bit of confusion on a Ubuntu remote system -- /boot/grub/menu.lst suggests the system should boot into kernel 2.6.35-30-generic, but it is actually running kernel 2.6.32-27-generic. Where should I look to start figuring out why this is happening and how to fix it? Specifically, /boot/grub/menu.lst has default 0 and the first entry is title Ubuntu 10.10, kernel 2.6.35-30-generic uuid 67717ee3-cbf9-45d2-ae97-820256f4c4fd kernel /boot/vmlinuz-2.6.35-30-generic root=UUID=67717ee3-cbf9-45d2- ae97-820256f4c4fd ro quiet splash initrd /boot/initrd.img-2.6.35-30-generic Further, I've confirmed that /boot/vmlinuz-2.6.35-30-generic and /boot/initrd.img-2.6.35-30-generic exist and have appropriate permissions. Meanwhile, uname -a returns: $ uname -a Linux cuda2 2.6.32-27-generic #49-Ubuntu SMP Thu Dec 2 00:51:09 UTC 2010 x86_64 GNU/Linux Edit: I've also tried re-running update-grub, and rebooting; no luck. Here's the full menu.lst, as requested by a commenter: # menu.lst - See: grub(8), info grub, update-grub(8) # grub-install(8), grub-floppy(8), # grub-md5-crypt, /usr/share/doc/grub # and /usr/share/doc/grub-legacy-doc/. ## default num # Set the default entry to the entry number NUM. Numbering starts from 0, and # the entry number 0 is the default if the command is not used. # # You can specify 'saved' instead of a number. In this case, the default entry # is the entry saved with the command 'savedefault'. # WARNING: If you are using dmraid do not use 'savedefault' or your # array will desync and will not let you boot your system. default 0 ## timeout sec # Set a timeout, in SEC seconds, before automatically booting the default entry # (normally the first entry defined). timeout 3 ## hiddenmenu # Hides the menu by default (press ESC to see the menu) hiddenmenu # Pretty colours #color cyan/blue white/blue ## password ['--md5'] passwd # If used in the first section of a menu file, disable all interactive editing # control (menu entry editor and command-line) and entries protected by the # command 'lock' # e.g. password topsecret # password --md5 $1$gLhU0/$aW78kHK1QfV3P2b2znUoe/ # password topsecret # # examples # # title Windows 95/98/NT/2000 # root (hd0,0) # makeactive # chainloader +1 # # title Linux # root (hd0,1) # kernel /vmlinuz root=/dev/hda2 ro # # # Put static boot stanzas before and/or after AUTOMAGIC KERNEL LIST ### BEGIN AUTOMAGIC KERNELS LIST ## lines between the AUTOMAGIC KERNELS LIST markers will be modified ## by the debian update-grub script except for the default options below ## DO NOT UNCOMMENT THEM, Just edit them to your needs ## ## Start Default Options ## ## default kernel options ## default kernel options for automagic boot options ## If you want special options for specific kernels use kopt_x_y_z ## where x.y.z is kernel version. Minor versions can be omitted. ## e.g. kopt=root=/dev/hda1 ro ## kopt_2_6_8=root=/dev/hdc1 ro ## kopt_2_6_8_2_686=root=/dev/hdc2 ro # kopt=root=UUID=67717ee3-cbf9-45d2-ae97-820256f4c4fd ro ## default grub root device ## e.g. groot=(hd0,0) # groot=67717ee3-cbf9-45d2-ae97-820256f4c4fd ## should update-grub create alternative automagic boot options ## e.g. alternative=true ## alternative=false # alternative=true ## should update-grub lock alternative automagic boot options ## e.g. lockalternative=true ## lockalternative=false # lockalternative=false ## additional options to use with the default boot option, but not with the ## alternatives ## e.g. defoptions=vga=791 resume=/dev/hda5 # defoptions=quiet splash ## should update-grub lock old automagic boot options ## e.g. lockold=false ## lockold=true # lockold=false ## Xen hypervisor options to use with the default Xen boot option # xenhopt= ## Xen Linux kernel options to use with the default Xen boot option # xenkopt=console=tty0 ## altoption boot targets option ## multiple altoptions lines are allowed ## e.g. altoptions=(extra menu suffix) extra boot options ## altoptions=(recovery) single # altoptions=(recovery mode) single ## controls how many kernels should be put into the menu.lst ## only counts the first occurence of a kernel, not the ## alternative kernel options ## e.g. howmany=all ## howmany=7 # howmany=all ## specify if running in Xen domU or have grub detect automatically ## update-grub will ignore non-xen kernels when running in domU and vice versa ## e.g. indomU=detect ## indomU=true ## indomU=false # indomU=detect ## should update-grub create memtest86 boot option ## e.g. memtest86=true ## memtest86=false # memtest86=true ## should update-grub adjust the value of the default booted system ## can be true or false # updatedefaultentry=false ## should update-grub add savedefault to the default options ## can be true or false # savedefault=false ## ## End Default Options ## title Ubuntu 10.10, kernel 2.6.35-30-generic uuid 67717ee3-cbf9-45d2-ae97-820256f4c4fd kernel /boot/vmlinuz-2.6.35-30-generic root=UUID=67717ee3-cbf9-45d2-ae97-820256f4c4fd ro quiet splash initrd /boot/initrd.img-2.6.35-30-generic title Ubuntu 10.10, kernel 2.6.35-30-generic (recovery mode) uuid 67717ee3-cbf9-45d2-ae97-820256f4c4fd kernel /boot/vmlinuz-2.6.35-30-generic root=UUID=67717ee3-cbf9-45d2-ae97-820256f4c4fd ro single initrd /boot/initrd.img-2.6.35-30-generic title Ubuntu 10.10, kernel 2.6.32-32-server uuid 67717ee3-cbf9-45d2-ae97-820256f4c4fd kernel /boot/vmlinuz-2.6.32-32-server root=UUID=67717ee3-cbf9-45d2-ae97-820256f4c4fd ro quiet splash initrd /boot/initrd.img-2.6.32-32-server title Ubuntu 10.10, kernel 2.6.32-32-server (recovery mode) uuid 67717ee3-cbf9-45d2-ae97-820256f4c4fd kernel /boot/vmlinuz-2.6.32-32-server root=UUID=67717ee3-cbf9-45d2-ae97-820256f4c4fd ro single initrd /boot/initrd.img-2.6.32-32-server title Ubuntu 10.10, kernel 2.6.32-27-generic uuid 67717ee3-cbf9-45d2-ae97-820256f4c4fd kernel /boot/vmlinuz-2.6.32-27-generic root=UUID=67717ee3-cbf9-45d2-ae97-820256f4c4fd ro quiet splash initrd /boot/initrd.img-2.6.32-27-generic title Ubuntu 10.10, kernel 2.6.32-27-generic (recovery mode) uuid 67717ee3-cbf9-45d2-ae97-820256f4c4fd kernel /boot/vmlinuz-2.6.32-27-generic root=UUID=67717ee3-cbf9-45d2-ae97-820256f4c4fd ro single initrd /boot/initrd.img-2.6.32-27-generic title Chainload into GRUB 2 root 67717ee3-cbf9-45d2-ae97-820256f4c4fd kernel /boot/grub/core.img title Ubuntu 10.10, memtest86+ uuid 67717ee3-cbf9-45d2-ae97-820256f4c4fd kernel /boot/memtest86+.bin ### END DEBIAN AUTOMAGIC KERNELS LIST To add complication and joy to my life, this is a desktop machine in a remote datacenter; we don't have either local access or serial-console access. 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