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  • Customize the Default Screensavers in Windows 7 and Vista

    - by Matthew Guay
    Windows 7 and Vista include a nice set of backgrounds, but unfortunately most of them aren’t configurable by default.  Thanks to a free app and some registry changes, however, you can make the default screensavers uniquely yours! Customize the default screensavers If you’ve ever pressed the Customize button on most of the default screensavers in Windows 7 and Vista, you were probably greeted with this message: A little digging in the registry shows that this isn’t fully correct.  The default screensavers in Vista and 7 do have options you can set, but they’re not obvious.  With the help of an app or some registry tips, you can easily customize the screensavers to be uniquely yours.  Here’s how you can do it with an app or in the registry. Customize Windows Screensavers with System Screensavers Tweaker Download the System Screensavers Tweaker (link below), and unzip the folder.  Run nt6srccfg.exe in the folder to tweak your screensavers.  This application lets you tweak the screensavers’ registry settings graphically, and it works great in all editions of Windows Vista and 7, including x64 versions. Change any of the settings you want in the screensaver tweaker, and click Apply. To preview the changes to your screensaver, open the Screen Saver settings window as normal by right-clicking on the desktop, and selecting Personalize. Click on the Screensaver button on the bottom right. Now, select your modified screensaver, and click Preview to see your changes. You can change a wide variety of settings for the Bubbles, Ribbons, and Mystify screensavers in Windows 7 and Vista, as well as the Aurora screensaver in Windows Vista.  The tweaks to the Bubbles screensaver are especially nice.  Here’s how the Bubbles look without transparency. And, by tweaking a little more, you get a screensaver that looks more like a screen full of marbles. Ribbons and Mystify each have less settings, but still can produce some unique effects.   How’s that for a brilliant screensaver? And, if you want to return your screensavers to their default settings, simply run the System Screensavers Tweaker and select Reset to defaults on any screensaver you wish to reset. Customize Windows Screensavers in the Registry If you prefer to roll up your sleeves and tweak Windows under-the-hood, then here’s how you can customize the screensavers yourself in the Registry.  Type regedit into the search box in the Start menu, browse to the key for each screensaver, and add or modify the DWORD values listed for that screensaver using the Decimal base. Please Note: Tweaking the Registry can be difficult, so if you’re unsure, just use the tweaking application above. Also, you’ll probably want to create a System Restore Point.   Bubbles To edit the Bubbles screensaver, browse to the following in regedit: HKEY_CURRENT_USER\Software\Microsoft\Windows\Current Version\Screensavers\Bubbles Now, add or modify the following DWORD values to tweak the screensaver: MaterialGlass – enter 0 for solid or 1 for transparent bubbles Radius – enter a number between 1090000000 and 1130000000; the larger the number, the larger the bubbles’ radius ShowBubbles – enter 0 to show a black background or 1 to show the current desktop behind the bubbles ShowShadows – enter 0 for no shadow or 1 for shadows behind the bubbles SphereDensity – enter a number from 1000000000 to 2100000000; the higher the number, the more bubbles on the screen. TurbulenceNumOctaves – enter a number from 1 to 255; the higher the number, the faster the bubble colors will change. Ribbons To edit the Ribbons screensaver, browse to the following in regedit: HKEY_CURRENT_USER\Software\Microsoft\Windows\Current Version\Screensavers\Ribbons Now, add or modify the following DWORD values to tweak the screensaver: Blur – enter 0 to prevent ribbons from fading, or 1 to have them fade away after a few moments. Numribbons – enter a number from 1 to 100; the higher the number, the more ribbons on the screen. RibbonWidth – enter a number from 1000000000 to 1080000000; the higher the number, the thicker the ribbons. Mystify To edit the Mystify screensaver, browse to the following in regedit: HKEY_CURRENT_USER\Software\Microsoft\Windows\Current Version\Screensavers\Mystify Now, add or modify the following DWORD values to tweak the screensaver: Blur – enter 0 to prevent lines from fading, or 1 to have them fade away after a few moments. LineWidth – enter a number from 1000000000 to 1080000000; the higher the number, the wider the lines. NumLines – enter a number from 1 to 100; the higher the value, the more lines on the screen. Aurora – Windows Vista only To edit the Aurora screensaver in Windows Vista, browse to the following in regedit: HKEY_CURRENT_USER\Software\Microsoft\Windows\Current Version\Screensavers\Aurora Now, add or modify the following DWORD values to tweak the screensaver: Amplitude – enter a value from 500000000 to 2000000000; the higher the value, the slower the motion. Brightness – enter a value from 1000000000 to 1050000000; the higher the value, the brighter the affect. NumLayers – enter a value from 1 to 15; the higher the value, the more aurora layers displayed. Speed – enter a value from 1000000000 to 2100000000; the higher the value, the faster the cycling. Conclusion Although the default screensavers are nice, they can be boring after awhile with their default settings.  But with these tweaks, you can create a variety of vibrant screensavers that should keep your desktop fresh and interesting. Link Download the System Screensavers Tweaker Similar Articles Productive Geek Tips Create Icons to Start the Screensaver on Windows 7 or VistaMake Your Windows XP Logon Screen Look Like Windows VistaSpeed up Windows Vista Start Menu Search By Limiting ResultsRoundup: 16 Tweaks to Windows Vista Look & FeelSet XP as the Default OS in a Windows Vista Dual-Boot Setup 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 NachoFoto Searches Images in Real-time Office 2010 Product Guides Google Maps Place marks – Pizza, Guns or Strip Clubs Monitor Applications With Kiwi LocPDF is a Visual PDF Search Tool Download Free iPad Wallpapers at iPad Decor

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  • Twitter status id conundrum

    - by jamiet
    I have an interest, a slightly perverse one some might say, in using online services and trying to figure out what the underlying (logical) data model is and in this day and age Twitter is one that lends itself very well to scrutiny. Consider this recent tweet of mine: The URL that enables you to see that tweet is http://twitter.com/jamiet/status/12154647354. We can interpret that URL to mean "a tweet by jamiet with an id of 12154647354" and hence we might further assume that the unique identifier for the tweet is {jamiet,12154647354}. However, its well-known that Twitter gives each status a unique ID regardless of who tweeted it so we might expect we could reach that tweet just by using a URL of http://twitter.com/status/12154647354 however (at the time of writing) that only redirects to Twitter's homepage. That seems strange to me especially given that we can use Twitter's API to access information about that tweet using only the id of the status. Witness http://api.twitter.com/1/statuses/show/12154647354.xml: [We can also access a JSON version of that information using http://api.twitter.com/1/statuses/show/12154647354.json] I'm puzzled as to why a tweet can't be accessed using on the main twitter website using the id alone. Anyone have any suggestions? @jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Sign of a Good Game

    - by Matt Christian
    (Warning: This post contains spoilers about SILENT HILL 2.  If you haven't played this game, you are dumb) What is one sign of a great game? One of the signs I realized recently is when a game continues to stun and surprise you years and years after you've played and beaten it.  As a major Silent Hill fan, I recently was reminded of Silent Hill 2 and even though see it as one of my favorite Silent Hill games, there are still things I'm learning about it that are neat little additions that add to the atmosphere (atmosphere also makes a great game!). For instance, when you start the game you are given a letter by your wife who has been deceased for years and years.  You are directed to Silent Hill and start treking through hell all by your lonesome (with the exception of a few psychos).  As you continue through the game, pieces of the letter begin to fade and disappear until eventually it is completely non-existent, thus implying the letter was never real and the letter was a delusion you created. Another example is the game's use of imagery the player knows about but might not notice at first.  For me, the most apparent of these was the dress you find near the start when you find the flashlight, which is the same dress you see Mary (your wife) wearing in the flashback sequences.  However, one thing I didn't know was that several deceased bodies you encounter laying around Silent Hill are actually the body of the main character (James) which invokes an idea you've seen that body before but can't pinpoint where... It's amazing to see a game go to such unique lengths to provide a psychological horror game.  Sure, all the dead bodies could be randomly modelled and the dress could be any ol' dress, but just the idea of your brain knowing something deep down but you can't pinpoint it is a really unique idea.  In my opinion, it ties less into subconscious and more into natural tendencies, it taps into the fear hidden inside us all.

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  • SQL Server Split() Function

    - by HighAltitudeCoder
    Title goes here   Ever wanted a dbo.Split() function, but not had the time to debug it completely?  Let me guess - you are probably working on a stored procedure with 50 or more parameters; two or three of them are parameters of differing types, while the other 47 or so all of the same type (id1, id2, id3, id4, id5...).  Worse, you've found several other similar stored procedures with the ONLY DIFFERENCE being the number of like parameters taped to the end of the parameter list. If this is the situation you find yourself in now, you may be wondering, "why am I working with three different copies of what is basically the same stored procedure, and why am I having to maintain changes in three different places?  Can't I have one stored procedure that accomplishes the job of all three? My answer to you: YES!  Here is the Split() function I've created.    /******************************************************************************                                       Split.sql   ******************************************************************************/ /******************************************************************************   Split a delimited string into sub-components and return them as a table.   Parameter 1: Input string which is to be split into parts. Parameter 2: Delimiter which determines the split points in input string. Works with space or spaces as delimiter. Split() is apostrophe-safe.   SYNTAX: SELECT * FROM Split('Dvorak,Debussy,Chopin,Holst', ',') SELECT * FROM Split('Denver|Seattle|San Diego|New York', '|') SELECT * FROM Split('Denver is the super-awesomest city of them all.', ' ')   ******************************************************************************/ USE AdventureWorks GO   IF EXISTS       (SELECT *       FROM sysobjects       WHERE xtype = 'TF'       AND name = 'Split'       ) BEGIN       DROP FUNCTION Split END GO   CREATE FUNCTION Split (       @InputString                  VARCHAR(8000),       @Delimiter                    VARCHAR(50) )   RETURNS @Items TABLE (       Item                          VARCHAR(8000) )   AS BEGIN       IF @Delimiter = ' '       BEGIN             SET @Delimiter = ','             SET @InputString = REPLACE(@InputString, ' ', @Delimiter)       END         IF (@Delimiter IS NULL OR @Delimiter = '')             SET @Delimiter = ','   --INSERT INTO @Items VALUES (@Delimiter) -- Diagnostic --INSERT INTO @Items VALUES (@InputString) -- Diagnostic         DECLARE @Item                 VARCHAR(8000)       DECLARE @ItemList       VARCHAR(8000)       DECLARE @DelimIndex     INT         SET @ItemList = @InputString       SET @DelimIndex = CHARINDEX(@Delimiter, @ItemList, 0)       WHILE (@DelimIndex != 0)       BEGIN             SET @Item = SUBSTRING(@ItemList, 0, @DelimIndex)             INSERT INTO @Items VALUES (@Item)               -- Set @ItemList = @ItemList minus one less item             SET @ItemList = SUBSTRING(@ItemList, @DelimIndex+1, LEN(@ItemList)-@DelimIndex)             SET @DelimIndex = CHARINDEX(@Delimiter, @ItemList, 0)       END -- End WHILE         IF @Item IS NOT NULL -- At least one delimiter was encountered in @InputString       BEGIN             SET @Item = @ItemList             INSERT INTO @Items VALUES (@Item)       END         -- No delimiters were encountered in @InputString, so just return @InputString       ELSE INSERT INTO @Items VALUES (@InputString)         RETURN   END -- End Function GO   ---- Set Permissions --GRANT SELECT ON Split TO UserRole1 --GRANT SELECT ON Split TO UserRole2 --GO   The syntax is basically as follows: SELECT <fields> FROM Table 1 JOIN Table 2 ON ... JOIN Table 3 ON ... WHERE LOGICAL CONDITION A AND LOGICAL CONDITION B AND LOGICAL CONDITION C AND TABLE2.Id IN (SELECT * FROM Split(@IdList, ',')) @IdList is a parameter passed into the stored procedure, and the comma (',') is the delimiter you have chosen to split the parameter list on. You can also use it like this: SELECT <fields> FROM Table 1 JOIN Table 2 ON ... JOIN Table 3 ON ... WHERE LOGICAL CONDITION A AND LOGICAL CONDITION B AND LOGICAL CONDITION C HAVING COUNT(SELECT * FROM Split(@IdList, ',') Similarly, it can be used in other aggregate functions at run-time: SELECT MIN(SELECT * FROM Split(@IdList, ','), <fields> FROM Table 1 JOIN Table 2 ON ... JOIN Table 3 ON ... WHERE LOGICAL CONDITION A AND LOGICAL CONDITION B AND LOGICAL CONDITION C GROUP BY <fields> Now that I've (hopefully effectively) explained the benefits to using this function and implementing it in one or more of your database objects, let me warn you of a caveat that you are likely to encounter.  You may have a team member who waits until the right moment to ask you a pointed question: "Doesn't this function just do the same thing as using the IN function?  Why didn't you just use that instead?  In other words, why bother with this function?" What's happening is, one or more team members has failed to understand the reason for implementing this kind of function in the first place.  (Note: this is THE MOST IMPORTANT ASPECT OF THIS POST). Allow me to outline a few pros to implementing this function, so you may effectively parry this question.  Touche. 1) Code consolidation.  You don't have to maintain what is basically the same code and logic, but with varying numbers of the same parameter in several SQL objects.  I'm not going to go into the cons related to using this function, because the afore mentioned team member is probably more than adept at pointing these out.  Remember, the real positive contribution is ou are decreasing the liklihood that your team fails to update all (x) duplicate copies of what are basically the same stored procedure, and so on...  This is the classic downside to duplicate code.  It is a virus, and you should kill it. You might be better off rejecting your team member's question, and responding with your own: "Would you rather maintain the same logic in multiple different stored procedures, and hope that the team doesn't forget to always update all of them at the same time?".  In his head, he might be thinking "yes, I would like to maintain several different copies of the same stored procedure", although you probably will not get such a direct response.  2) Added flexibility - you can use the Split function elsewhere, and for splitting your data in different ways.  Plus, you can use any kind of delimiter you wish.  How can you know today the ways in which you might want to examine your data tomorrow?  Segue to my next point. 3) Because the function takes a delimiter parameter, you can split the data in any number of ways.  This greatly increases the utility of such a function and enables your team to work with the data in a variety of different ways in the future.  You can split on a single char, symbol, word, or group of words.  You can split on spaces.  (The list goes on... test it out). Finally, you can dynamically define the behavior of a stored procedure (or other SQL object) at run time, through the use of this function.  Rather than have several objects that accomplish almost the same thing, why not have only one instead?

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  • Oracle’s Java Community Outreach Plan

    - by Yolande Poirier
    As the steward of Java, Oracle recognizes the importance and value of the Java community, and the relevant role it plays in keeping Java the largest, most vibrant developer community in the world.   In order to increase Oracle’s touch with Java developers worldwide, we are shifting our focus from a flagship JavaOne event followed by several regional JavaOne conferences, to a new outreach model which continues with the JavaOne flagship event, as well as a mix of online content, regional Java Tours, and regional 3rd party event participation.  1. JavaOne JavaOne continues to remain the premier hub for Java developers where you are given the opportunity to improve your Java technical skills, and interact with other members of the Java community. JavaOne is centered on open collaboration and sharing, and Oracle will continue to invest in JavaOne as a unique stand-alone event for the Java community. Oracle recognizes that many developers cannot attend JavaOne in person, therefore Oracle will share the wealth of the unique event material to those developers through a new and easy-to-access online Java program. While online JavaOne content cannot address the importance of actual face-to-face community/developer engagements and networking, online content does aide in extending the Java technical learning opportunity to a broader collection of developers. 2. Java Developer Day Tours Oracle will execute regional Java Developer Days with recognized Java User Groups (JUGs) with participation from Java Evangelist and Java Champions. This allows local, regional specific Java topics to be addressed both by Oracle and the Java community. In addition, Oracle will deliver more virtual technical content programs to reach developers where an existing JUG may not have a presence. 3. Sponsorship of Community-Driven Regional Events/Conferences Oracle also recognizes that improved community dialog and relations are achievable by continued Oracle sponsorship and onsite participation at both established/well-recognized 3rd party events and new emerging/growing 3rd party events. Oracle’s ultimate goal is to be an even better steward for Java by reaching more of the Java ecosystem with face-to-face and online community engagements. We look forward to planning tours and events with you, members of the Java community.

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  • Using a mounted NTFS share with nginx

    - by Hoff
    I have set up a local testing VM with Ubuntu Server 12.04 LTS and the LEMP stack. It's kind of an unconventional setup because instead of having all my PHP scripts on the local machine, I've mounted an NTFS share as the document root because I do my development on Windows. I had everything working perfectly up until this morning, now I keep getting a dreaded 'File not found.' error. I am almost certain this must be somehow permission related, because if I copy my site over to /var/www, nginx and php-fpm have no problems serving my PHP scripts. What I can't figure out is why all of a sudden (after a reboot of the server), no PHP files will be served but instead just the 'File not found.' error. Static files work fine, so I think it's PHP that is causing the headache. Both nginx and php-fpm are configured to run as the user www-data: root@ubuntu-server:~# ps aux | grep 'nginx\|php-fpm' root 1095 0.0 0.0 5816 792 ? Ss 11:11 0:00 nginx: master process /opt/nginx/sbin/nginx -c /etc/nginx/nginx.conf www-data 1096 0.0 0.1 6016 1172 ? S 11:11 0:00 nginx: worker process www-data 1098 0.0 0.1 6016 1172 ? S 11:11 0:00 nginx: worker process root 1130 0.0 0.4 175560 4212 ? Ss 11:11 0:00 php-fpm: master process (/etc/php5/php-fpm.conf) www-data 1131 0.0 0.3 175560 3216 ? S 11:11 0:00 php-fpm: pool www www-data 1132 0.0 0.3 175560 3216 ? S 11:11 0:00 php-fpm: pool www www-data 1133 0.0 0.3 175560 3216 ? S 11:11 0:00 php-fpm: pool www root 1686 0.0 0.0 4368 816 pts/1 S+ 11:11 0:00 grep --color=auto nginx\|php-fpm I have mounted the NTFS share at /mnt/webfiles by editing /etc/fstab and adding the following line: //192.168.0.199/c$/Websites/ /mnt/webfiles cifs username=Jordan,password=mypasswordhere,gid=33,uid=33 0 0 Where gid 33 is the www-data group and uid 33 is the user www-data. If I list the contents of one of my sites you can in fact see that they belong to the user www-data: root@ubuntu-server:~# ls -l /mnt/webfiles/nTv5-2.0 total 8 drwxr-xr-x 0 www-data www-data 0 Jun 6 19:12 app drwxr-xr-x 0 www-data www-data 0 Aug 22 19:00 assets -rwxr-xr-x 0 www-data www-data 1150 Jan 4 2012 favicon.ico -rwxr-xr-x 0 www-data www-data 1412 Dec 28 2011 index.php drwxr-xr-x 0 www-data www-data 0 Jun 3 16:44 lib drwxr-xr-x 0 www-data www-data 0 Jan 3 2012 plugins drwxr-xr-x 0 www-data www-data 0 Jun 3 16:45 vendors If I switch to the www-data user, I have no problem creating a new file on the share: root@ubuntu-server:~# su www-data $ > /mnt/webfiles/test.txt $ ls -l /mnt/webfiles | grep test\.txt -rwxr-xr-x 0 www-data www-data 0 Sep 8 11:19 test.txt There should be no problem reading or writing to the share with php-fpm running as the user www-data. When I examine the error log of nginx, it's filled with a bunch of lines that look like the following: 2012/09/08 11:22:36 [error] 1096#0: *1 FastCGI sent in stderr: "Primary script unknown" while reading response header from upstream, client: 192.168.0.199, server: , request: "GET / HTTP/1.1", upstream: "fastcgi://unix:/var/run/php5-fpm.sock:", host: "192.168.0.123" 2012/09/08 11:22:39 [error] 1096#0: *1 FastCGI sent in stderr: "Primary script unknown" while reading response header from upstream, client: 192.168.0.199, server: , request: "GET /apc.php HTTP/1.1", upstream: "fastcgi://unix:/var/run/php5-fpm.sock:", host: "192.168.0.123" It's bizarre that this was working previously and now all of sudden PHP is complaining that it can't "find" the scripts on the share. Does anybody know why this is happening? EDIT I tried editing php-fpm.conf and changing chdir to the following: chdir = /mnt/webfiles When I try and restart the php-fpm service, I get the error: Starting php-fpm [08-Sep-2012 14:20:55] ERROR: [pool www] the chdir path '/mnt/webfiles' does not exist or is not a directory This is a total load of bullshit because this directory DOES exist and is mounted! Any ls commands to list that directory work perfectly. Why the hell can't PHP-FPM see this directory?! Here are my configuration files for reference: nginx.conf user www-data; worker_processes 2; error_log /var/log/nginx/nginx.log info; pid /var/run/nginx.pid; events { worker_connections 1024; multi_accept on; } http { include fastcgi.conf; include mime.types; default_type application/octet-stream; set_real_ip_from 127.0.0.1; real_ip_header X-Forwarded-For; ## Proxy proxy_redirect off; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; client_max_body_size 32m; client_body_buffer_size 128k; proxy_connect_timeout 90; proxy_send_timeout 90; proxy_read_timeout 90; proxy_buffers 32 4k; ## Compression gzip on; gzip_types text/plain text/css application/x-javascript text/xml application/xml application/xml+rss text/javascript; gzip_disable "MSIE [1-6]\.(?!.*SV1)"; ### TCP options tcp_nodelay on; tcp_nopush on; keepalive_timeout 65; sendfile on; include /etc/nginx/sites-enabled/*; } my site config server { listen 80; access_log /var/log/nginx/$host.access.log; error_log /var/log/nginx/error.log; root /mnt/webfiles/nTv5-2.0/app/webroot; index index.php; ## Block bad bots if ($http_user_agent ~* (HTTrack|HTMLParser|libcurl|discobot|Exabot|Casper|kmccrew|plaNETWORK|RPT-HTTPClient)) { return 444; } ## Block certain Referers (case insensitive) if ($http_referer ~* (sex|vigra|viagra) ) { return 444; } ## Deny dot files: location ~ /\. { deny all; } ## Favicon Not Found location = /favicon.ico { access_log off; log_not_found off; } ## Robots.txt Not Found location = /robots.txt { access_log off; log_not_found off; } if (-f $document_root/maintenance.html) { rewrite ^(.*)$ /maintenance.html last; } location ~* \.(?:ico|css|js|gif|jpe?g|png)$ { # Some basic cache-control for static files to be sent to the browser expires max; add_header Pragma public; add_header Cache-Control "max-age=2678400, public, must-revalidate"; } location / { try_files $uri $uri/ index.php; if (-f $request_filename) { break; } rewrite ^(.+)$ /index.php?url=$1 last; } location ~ \.php$ { include /etc/nginx/fastcgi.conf; fastcgi_pass unix:/var/run/php5-fpm.sock; } } php-fpm.conf ;;;;;;;;;;;;;;;;;;;;; ; FPM Configuration ; ;;;;;;;;;;;;;;;;;;;;; ; All relative paths in this configuration file are relative to PHP's install ; prefix (/opt/php5). This prefix can be dynamicaly changed by using the ; '-p' argument from the command line. ; Include one or more files. If glob(3) exists, it is used to include a bunch of ; files from a glob(3) pattern. This directive can be used everywhere in the ; file. ; Relative path can also be used. They will be prefixed by: ; - the global prefix if it's been set (-p arguement) ; - /opt/php5 otherwise ;include=etc/fpm.d/*.conf ;;;;;;;;;;;;;;;;;; ; Global Options ; ;;;;;;;;;;;;;;;;;; [global] ; Pid file ; Note: the default prefix is /opt/php5/var ; Default Value: none pid = /var/run/php-fpm.pid ; Error log file ; Note: the default prefix is /opt/php5/var ; Default Value: log/php-fpm.log error_log = /var/log/php5-fpm/php-fpm.log ; Log level ; Possible Values: alert, error, warning, notice, debug ; Default Value: notice ;log_level = notice ; If this number of child processes exit with SIGSEGV or SIGBUS within the time ; interval set by emergency_restart_interval then FPM will restart. A value ; of '0' means 'Off'. ; Default Value: 0 ;emergency_restart_threshold = 0 ; Interval of time used by emergency_restart_interval to determine when ; a graceful restart will be initiated. This can be useful to work around ; accidental corruptions in an accelerator's shared memory. ; Available Units: s(econds), m(inutes), h(ours), or d(ays) ; Default Unit: seconds ; Default Value: 0 ;emergency_restart_interval = 0 ; Time limit for child processes to wait for a reaction on signals from master. ; Available units: s(econds), m(inutes), h(ours), or d(ays) ; Default Unit: seconds ; Default Value: 0 ;process_control_timeout = 0 ; Send FPM to background. Set to 'no' to keep FPM in foreground for debugging. ; Default Value: yes ;daemonize = yes ;;;;;;;;;;;;;;;;;;;; ; Pool Definitions ; ;;;;;;;;;;;;;;;;;;;; ; Multiple pools of child processes may be started with different listening ; ports and different management options. The name of the pool will be ; used in logs and stats. There is no limitation on the number of pools which ; FPM can handle. Your system will tell you anyway :) ; Start a new pool named 'www'. ; the variable $pool can we used in any directive and will be replaced by the ; pool name ('www' here) [www] ; Per pool prefix ; It only applies on the following directives: ; - 'slowlog' ; - 'listen' (unixsocket) ; - 'chroot' ; - 'chdir' ; - 'php_values' ; - 'php_admin_values' ; When not set, the global prefix (or /opt/php5) applies instead. ; Note: This directive can also be relative to the global prefix. ; Default Value: none ;prefix = /path/to/pools/$pool ; The address on which to accept FastCGI requests. ; Valid syntaxes are: ; 'ip.add.re.ss:port' - to listen on a TCP socket to a specific address on ; a specific port; ; 'port' - to listen on a TCP socket to all addresses on a ; specific port; ; '/path/to/unix/socket' - to listen on a unix socket. ; Note: This value is mandatory. ;listen = 127.0.0.1:9000 listen = /var/run/php5-fpm.sock ; Set listen(2) backlog. A value of '-1' means unlimited. ; Default Value: 128 (-1 on FreeBSD and OpenBSD) ;listen.backlog = -1 ; List of ipv4 addresses of FastCGI clients which are allowed to connect. ; Equivalent to the FCGI_WEB_SERVER_ADDRS environment variable in the original ; PHP FCGI (5.2.2+). Makes sense only with a tcp listening socket. Each address ; must be separated by a comma. If this value is left blank, connections will be ; accepted from any ip address. ; Default Value: any ;listen.allowed_clients = 127.0.0.1 ; Set permissions for unix socket, if one is used. In Linux, read/write ; permissions must be set in order to allow connections from a web server. Many ; BSD-derived systems allow connections regardless of permissions. ; Default Values: user and group are set as the running user ; mode is set to 0666 ;listen.owner = www-data ;listen.group = www-data ;listen.mode = 0666 ; Unix user/group of processes ; Note: The user is mandatory. If the group is not set, the default user's group ; will be used. user = www-data group = www-data ; Choose how the process manager will control the number of child processes. ; Possible Values: ; static - a fixed number (pm.max_children) of child processes; ; dynamic - the number of child processes are set dynamically based on the ; following directives: ; pm.max_children - the maximum number of children that can ; be alive at the same time. ; pm.start_servers - the number of children created on startup. ; pm.min_spare_servers - the minimum number of children in 'idle' ; state (waiting to process). If the number ; of 'idle' processes is less than this ; number then some children will be created. ; pm.max_spare_servers - the maximum number of children in 'idle' ; state (waiting to process). If the number ; of 'idle' processes is greater than this ; number then some children will be killed. ; Note: This value is mandatory. pm = dynamic ; The number of child processes to be created when pm is set to 'static' and the ; maximum number of child processes to be created when pm is set to 'dynamic'. ; This value sets the limit on the number of simultaneous requests that will be ; served. Equivalent to the ApacheMaxClients directive with mpm_prefork. ; Equivalent to the PHP_FCGI_CHILDREN environment variable in the original PHP ; CGI. ; Note: Used when pm is set to either 'static' or 'dynamic' ; Note: This value is mandatory. pm.max_children = 50 ; The number of child processes created on startup. ; Note: Used only when pm is set to 'dynamic' ; Default Value: min_spare_servers + (max_spare_servers - min_spare_servers) / 2 pm.start_servers = 20 ; The desired minimum number of idle server processes. ; Note: Used only when pm is set to 'dynamic' ; Note: Mandatory when pm is set to 'dynamic' pm.min_spare_servers = 5 ; The desired maximum number of idle server processes. ; Note: Used only when pm is set to 'dynamic' ; Note: Mandatory when pm is set to 'dynamic' pm.max_spare_servers = 35 ; The number of requests each child process should execute before respawning. ; This can be useful to work around memory leaks in 3rd party libraries. For ; endless request processing specify '0'. Equivalent to PHP_FCGI_MAX_REQUESTS. ; Default Value: 0 pm.max_requests = 500 ; The URI to view the FPM status page. If this value is not set, no URI will be ; recognized as a status page. By default, the status page shows the following ; information: ; accepted conn - the number of request accepted by the pool; ; pool - the name of the pool; ; process manager - static or dynamic; ; idle processes - the number of idle processes; ; active processes - the number of active processes; ; total processes - the number of idle + active processes. ; max children reached - number of times, the process limit has been reached, ; when pm tries to start more children (works only for ; pm 'dynamic') ; The values of 'idle processes', 'active processes' and 'total processes' are ; updated each second. The value of 'accepted conn' is updated in real time. ; Example output: ; accepted conn: 12073 ; pool: www ; process manager: static ; idle processes: 35 ; active processes: 65 ; total processes: 100 ; max children reached: 1 ; By default the status page output is formatted as text/plain. Passing either ; 'html' or 'json' as a query string will return the corresponding output ; syntax. Example: ; http://www.foo.bar/status ; http://www.foo.bar/status?json ; http://www.foo.bar/status?html ; Note: The value must start with a leading slash (/). The value can be ; anything, but it may not be a good idea to use the .php extension or it ; may conflict with a real PHP file. ; Default Value: not set pm.status_path = /status ; The ping URI to call the monitoring page of FPM. If this value is not set, no ; URI will be recognized as a ping page. This could be used to test from outside ; that FPM is alive and responding, or to ; - create a graph of FPM availability (rrd or such); ; - remove a server from a group if it is not responding (load balancing); ; - trigger alerts for the operating team (24/7). ; Note: The value must start with a leading slash (/). The value can be ; anything, but it may not be a good idea to use the .php extension or it ; may conflict with a real PHP file. ; Default Value: not set ping.path = /ping ; This directive may be used to customize the response of a ping request. The ; response is formatted as text/plain with a 200 response code. ; Default Value: pong ping.response = pong ; The timeout for serving a single request after which the worker process will ; be killed. This option should be used when the 'max_execution_time' ini option ; does not stop script execution for some reason. A value of '0' means 'off'. ; Available units: s(econds)(default), m(inutes), h(ours), or d(ays) ; Default Value: 0 ;request_terminate_timeout = 0 ; The timeout for serving a single request after which a PHP backtrace will be ; dumped to the 'slowlog' file. A value of '0s' means 'off'. ; Available units: s(econds)(default), m(inutes), h(ours), or d(ays) ; Default Value: 0 ;request_slowlog_timeout = 0 ; The log file for slow requests ; Default Value: not set ; Note: slowlog is mandatory if request_slowlog_timeout is set ;slowlog = log/$pool.log.slow ; Set open file descriptor rlimit. ; Default Value: system defined value ;rlimit_files = 1024 ; Set max core size rlimit. ; Possible Values: 'unlimited' or an integer greater or equal to 0 ; Default Value: system defined value ;rlimit_core = 0 ; Chroot to this directory at the start. This value must be defined as an ; absolute path. When this value is not set, chroot is not used. ; Note: you can prefix with '$prefix' to chroot to the pool prefix or one ; of its subdirectories. If the pool prefix is not set, the global prefix ; will be used instead. ; Note: chrooting is a great security feature and should be used whenever ; possible. However, all PHP paths will be relative to the chroot ; (error_log, sessions.save_path, ...). ; Default Value: not set ;chroot = ; Chdir to this directory at the start. ; Note: relative path can be used. ; Default Value: current directory or / when chroot ;chdir = /var/www ; Redirect worker stdout and stderr into main error log. If not set, stdout and ; stderr will be redirected to /dev/null according to FastCGI specs. ; Note: on highloaded environement, this can cause some delay in the page ; process time (several ms). ; Default Value: no ;catch_workers_output = yes ; Pass environment variables like LD_LIBRARY_PATH. All $VARIABLEs are taken from ; the current environment. ; Default Value: clean env ;env[HOSTNAME] = $HOSTNAME ;env[PATH] = /usr/local/bin:/usr/bin:/bin ;env[TMP] = /tmp ;env[TMPDIR] = /tmp ;env[TEMP] = /tmp ; Additional php.ini defines, specific to this pool of workers. These settings ; overwrite the values previously defined in the php.ini. The directives are the ; same as the PHP SAPI: ; php_value/php_flag - you can set classic ini defines which can ; be overwritten from PHP call 'ini_set'. ; php_admin_value/php_admin_flag - these directives won't be overwritten by ; PHP call 'ini_set' ; For php_*flag, valid values are on, off, 1, 0, true, false, yes or no. ; Defining 'extension' will load the corresponding shared extension from ; extension_dir. Defining 'disable_functions' or 'disable_classes' will not ; overwrite previously defined php.ini values, but will append the new value ; instead. ; Note: path INI options can be relative and will be expanded with the prefix ; (pool, global or /opt/php5) ; Default Value: nothing is defined by default except the values in php.ini and ; specified at startup with the -d argument ;php_admin_value[sendmail_path] = /usr/sbin/sendmail -t -i -f [email protected] ;php_flag[display_errors] = off ;php_admin_value[error_log] = /var/log/fpm-php.www.log ;php_admin_flag[log_errors] = on ;php_admin_value[memory_limit] = 32M php_admin_value[sendmail_path] = /usr/sbin/sendmail -t -i

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  • Unused Indexes Gotcha

    - by DavidWimbush
    I'm currently looking into dropping unused indexes to reduce unnecessary overhead and I came across a very good point in the excellent SQL Server MVP Deep Dives book that I haven't seen highlighted anywhere else. I was thinking it was simply a case of dropping indexes that didn't show as being used in DMV sys.dm_db_index_usage_stats (assuming a solid representative workload had been run since the last service start). But Rob Farley points out that the DMV only shows indexes whose pages have been read or updated. An index that isn't listed in the DMV might still be useful by providing metadata to the Query Optimizer and thus streamlining query plans. For example, if you have a query like this: select  au.author_name         , count(*) as books from    books b         inner join authors au on au.author_id = b.author_id group by au.author_name If you have a unique index on authors.author_name the Query Optimizer will realise that each author_id will have a different author_name so it can produce a plan that just counts the books by author_id and then adds the author name to each row in that small table. If you delete that index the query will have to join all the books with their authors and then apply the GROUP BY - a much more expensive query. So be cautious about dropping apparently unused unique indexes.

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  • How can I author objects with perspective that fit into a tile-based map but span multiple tiles?

    - by Growler
    I'm creating a tilemap city and trying to figure out the most efficient way to create unique building scenes. The trick is, I need to maintain a sort of 2D, almost-top-down perspective, which is hard to do with buildings or large objects that span multiple tiles. I've tried doing three buildings at a time, and mixing and matching the base layer and colors, like this: This creates a weird overlapping effect, and also doesn't seem that efficient from a production standpoint. But it was the best way to have shadows appear correctly on the neighboring buildings. I'm wondering if modular buildings would be the way to go? That way I can mix and match any set of buildings together as tiles: I guess I would have to risk some perspective and shadowing to get the buildings to align correctly. What sort of authoring process could I use to allow me to create a variety of buildings (or other objects) that maintain this perspective while spanning multiple tiles worth of screen space? Would you recommend creating blank buildings, and then affixing art overlays as necessary to make the buildings unique? Or should they be directly part of the building tile (for example, create a separate tileset of buildings signs and colorings)?

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  • Fixing Chrome&rsquo;s AJAX Request Caching Bug

    - by Steve Wilkes
    I recently had to make a set of web pages restore their state when the user arrived on them after clicking the browser’s back button. The pages in question had various content loaded in response to user actions, which meant I had to manually get them back into a valid state after the page loaded. I got hold of the page’s data in a JavaScript ViewModel using a JQuery ajax call, then iterated over the properties, filling in the fields as I went. I built in the ability to describe dependencies between inputs to make sure fields were filled in in the correct order and at the correct time, and that all worked nicely. To make sure the browser didn’t cache the AJAX call results I used the JQuery’s cache: false option, and ASP.NET MVC’s OutputCache attribute for good measure. That all worked perfectly… except in Chrome. Chrome insisted on retrieving the data from its cache. cache: false adds a random query string parameter to make the browser think it’s a unique request – it made no difference. I made the AJAX call a POST – it made no difference. Eventually what I had to do was add a random token to the URL (not the query string) and use MVC routing to deliver the request to the correct action. The project had a single Controller for all AJAX requests, so this route: routes.MapRoute( name: "NonCachedAjaxActions", url: "AjaxCalls/{cacheDisablingToken}/{action}", defaults: new { controller = "AjaxCalls" }, constraints: new { cacheDisablingToken = "[0-9]+" }); …and this amendment to the ajax call: function loadPageData(url) { // Insert a timestamp before the URL's action segment: var indexOfFinalUrlSeparator = url.lastIndexOf("/"); var uniqueUrl = url.substring(0, indexOfFinalUrlSeparator) + new Date().getTime() + "/" + url.substring(indexOfFinalUrlSeparator); // Call the now-unique action URL: $.ajax(uniqueUrl, { cache: false, success: completePageDataLoad }); } …did the trick.

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  • Partner WebCasts: EMEA Alliances and Channels Hardware Webinars, July 2012

    - by rituchhibber
    Dear partner Oracle is pleased to invite you to the following webcasts dedicated to our EMEA partner community and designed to provide you with important news on our SPARC and Storage product portfolios. Please ensure you don't miss these unique learning opportunities! 1. How to Make Money Selling SPARC! 3PM CET (2pm UKT), Tuesday, July 10, 2012 The webcast will be hosted by - Rob Ludeman, from SPARC Product Management, and Thomas Ressler, WWA&C Alliances Consultant. Agenda: To bring our partners timely, valuable information, focused on increase in their success during selling SPARC systems. The webcast will be focused and targeted on specific topics and will last approximately in 30 minutes.You can submit your questions via WebEx chat and there will be a live Q&A session at the end of the webcast. REGISTER NOW 2. Introduction to Oracle’s New StorageTek SL150 Modular Tape Library 3pm CET (2pm UK), Thursday, July 12, 2012 This webcast will help you to understand Oracle's New StorageTek SL150 Modular tape library which is the first scalable tape library designed for small and midsized companies that are experiencing high growth. Built from Oracle software and StorageTek library technology, it delivers a cost-effective combination of ease of use and scalability, resulting in overall TCO savings. During the webcast Cindy McCurley, from Tape Product Management will introduce you to the latest addition to the Oracle Tape Storage product portfolio, the SL150 Modular Tape Library. This 60 minutes webcast will cover the product’s features, positioning, unique selling points and a competitive overview on StorageTek. You can submit your questions via WebEx chat and there will be a live Q&A session at the end of the webcast. REGISTER NOW Delivery Format This FREE online LIVE eSeminar will be delivered over the Web and Conference Call. Note: Please join the call 10 minutes before the scheduled start time. We look forward to your participation. Best regards, Giuseppe Facchetti EMEA Partner Business Development Manager, Oracle Hardware Sales Sasan Moaveni EMEA Storage Sales Manager, Oracle Hardware Sales

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  • SortedDictionary and SortedList

    - by Simon Cooper
    Apart from Dictionary<TKey, TValue>, there's two other dictionaries in the BCL - SortedDictionary<TKey, TValue> and SortedList<TKey, TValue>. On the face of it, these two classes do the same thing - provide an IDictionary<TKey, TValue> interface where the iterator returns the items sorted by the key. So what's the difference between them, and when should you use one rather than the other? (as in my previous post, I'll assume you have some basic algorithm & datastructure knowledge) SortedDictionary We'll first cover SortedDictionary. This is implemented as a special sort of binary tree called a red-black tree. Essentially, it's a binary tree that uses various constraints on how the nodes of the tree can be arranged to ensure the tree is always roughly balanced (for more gory algorithmical details, see the wikipedia link above). What I'm concerned about in this post is how the .NET SortedDictionary is actually implemented. In .NET 4, behind the scenes, the actual implementation of the tree is delegated to a SortedSet<KeyValuePair<TKey, TValue>>. One example tree might look like this: Each node in the above tree is stored as a separate SortedSet<T>.Node object (remember, in a SortedDictionary, T is instantiated to KeyValuePair<TKey, TValue>): class Node { public bool IsRed; public T Item; public SortedSet<T>.Node Left; public SortedSet<T>.Node Right; } The SortedSet only stores a reference to the root node; all the data in the tree is accessed by traversing the Left and Right node references until you reach the node you're looking for. Each individual node can be physically stored anywhere in memory; what's important is the relationship between the nodes. This is also why there is no constructor to SortedDictionary or SortedSet that takes an integer representing the capacity; there are no internal arrays that need to be created and resized. This may seen trivial, but it's an important distinction between SortedDictionary and SortedList that I'll cover later on. And that's pretty much it; it's a standard red-black tree. Plenty of webpages and datastructure books cover the algorithms behind the tree itself far better than I could. What's interesting is the comparions between SortedDictionary and SortedList, which I'll cover at the end. As a side point, SortedDictionary has existed in the BCL ever since .NET 2. That means that, all through .NET 2, 3, and 3.5, there has been a bona-fide sorted set class in the BCL (called TreeSet). However, it was internal, so it couldn't be used outside System.dll. Only in .NET 4 was this class exposed as SortedSet. SortedList Whereas SortedDictionary didn't use any backing arrays, SortedList does. It is implemented just as the name suggests; two arrays, one containing the keys, and one the values (I've just used random letters for the values): The items in the keys array are always guarenteed to be stored in sorted order, and the value corresponding to each key is stored in the same index as the key in the values array. In this example, the value for key item 5 is 'z', and for key item 8 is 'm'. Whenever an item is inserted or removed from the SortedList, a binary search is run on the keys array to find the correct index, then all the items in the arrays are shifted to accomodate the new or removed item. For example, if the key 3 was removed, a binary search would be run to find the array index the item was at, then everything above that index would be moved down by one: and then if the key/value pair {7, 'f'} was added, a binary search would be run on the keys to find the index to insert the new item, and everything above that index would be moved up to accomodate the new item: If another item was then added, both arrays would be resized (to a length of 10) before the new item was added to the arrays. As you can see, any insertions or removals in the middle of the list require a proportion of the array contents to be moved; an O(n) operation. However, if the insertion or removal is at the end of the array (ie the largest key), then it's only O(log n); the cost of the binary search to determine it does actually need to be added to the end (excluding the occasional O(n) cost of resizing the arrays to fit more items). As a side effect of using backing arrays, SortedList offers IList Keys and Values views that simply use the backing keys or values arrays, as well as various methods utilising the array index of stored items, which SortedDictionary does not (and cannot) offer. The Comparison So, when should you use one and not the other? Well, here's the important differences: Memory usage SortedDictionary and SortedList have got very different memory profiles. SortedDictionary... has a memory overhead of one object instance, a bool, and two references per item. On 64-bit systems, this adds up to ~40 bytes, not including the stored item and the reference to it from the Node object. stores the items in separate objects that can be spread all over the heap. This helps to keep memory fragmentation low, as the individual node objects can be allocated wherever there's a spare 60 bytes. In contrast, SortedList... has no additional overhead per item (only the reference to it in the array entries), however the backing arrays can be significantly larger than you need; every time the arrays are resized they double in size. That means that if you add 513 items to a SortedList, the backing arrays will each have a length of 1024. To conteract this, the TrimExcess method resizes the arrays back down to the actual size needed, or you can simply assign list.Capacity = list.Count. stores its items in a continuous block in memory. If the list stores thousands of items, this can cause significant problems with Large Object Heap memory fragmentation as the array resizes, which SortedDictionary doesn't have. Performance Operations on a SortedDictionary always have O(log n) performance, regardless of where in the collection you're adding or removing items. In contrast, SortedList has O(n) performance when you're altering the middle of the collection. If you're adding or removing from the end (ie the largest item), then performance is O(log n), same as SortedDictionary (in practice, it will likely be slightly faster, due to the array items all being in the same area in memory, also called locality of reference). So, when should you use one and not the other? As always with these sort of things, there are no hard-and-fast rules. But generally, if you: need to access items using their index within the collection are populating the dictionary all at once from sorted data aren't adding or removing keys once it's populated then use a SortedList. But if you: don't know how many items are going to be in the dictionary are populating the dictionary from random, unsorted data are adding & removing items randomly then use a SortedDictionary. The default (again, there's no definite rules on these sort of things!) should be to use SortedDictionary, unless there's a good reason to use SortedList, due to the bad performance of SortedList when altering the middle of the collection.

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  • Table Variables: an empirical approach.

    - by Phil Factor
    It isn’t entirely a pleasant experience to publish an article only to have it described on Twitter as ‘Horrible’, and to have it criticized on the MVP forum. When this happened to me in the aftermath of publishing my article on Temporary tables recently, I was taken aback, because these critics were experts whose views I respect. What was my crime? It was, I think, to suggest that, despite the obvious quirks, it was best to use Table Variables as a first choice, and to use local Temporary Tables if you hit problems due to these quirks, or if you were doing complex joins using a large number of rows. What are these quirks? Well, table variables have advantages if they are used sensibly, but this requires some awareness by the developer about the potential hazards and how to avoid them. You can be hit by a badly-performing join involving a table variable. Table Variables are a compromise, and this compromise doesn’t always work out well. Explicit indexes aren’t allowed on Table Variables, so one cannot use covering indexes or non-unique indexes. The query optimizer has to make assumptions about the data rather than using column distribution statistics when a table variable is involved in a join, because there aren’t any column-based distribution statistics on a table variable. It assumes a reasonably even distribution of data, and is likely to have little idea of the number of rows in the table variables that are involved in queries. However complex the heuristics that are used might be in determining the best way of executing a SQL query, and they most certainly are, the Query Optimizer is likely to fail occasionally with table variables, under certain circumstances, and produce a Query Execution Plan that is frightful. The experienced developer or DBA will be on the lookout for this sort of problem. In this blog, I’ll be expanding on some of the tests I used when writing my article to illustrate the quirks, and include a subsequent example supplied by Kevin Boles. A simplified example. We’ll start out by illustrating a simple example that shows some of these characteristics. We’ll create two tables filled with random numbers and then see how many matches we get between the two tables. We’ll forget indexes altogether for this example, and use heaps. We’ll try the same Join with two table variables, two table variables with OPTION (RECOMPILE) in the JOIN clause, and with two temporary tables. It is all a bit jerky because of the granularity of the timing that isn’t actually happening at the millisecond level (I used DATETIME). However, you’ll see that the table variable is outperforming the local temporary table up to 10,000 rows. Actually, even without a use of the OPTION (RECOMPILE) hint, it is doing well. What happens when your table size increases? The table variable is, from around 30,000 rows, locked into a very bad execution plan unless you use OPTION (RECOMPILE) to provide the Query Analyser with a decent estimation of the size of the table. However, if it has the OPTION (RECOMPILE), then it is smokin’. Well, up to 120,000 rows, at least. It is performing better than a Temporary table, and in a good linear fashion. What about mixed table joins, where you are joining a temporary table to a table variable? You’d probably expect that the query analyzer would throw up its hands and produce a bad execution plan as if it were a table variable. After all, it knows nothing about the statistics in one of the tables so how could it do any better? Well, it behaves as if it were doing a recompile. And an explicit recompile adds no value at all. (we just go up to 45000 rows since we know the bigger picture now)   Now, if you were new to this, you might be tempted to start drawing conclusions. Beware! We’re dealing with a very complex beast: the Query Optimizer. It can come up with surprises What if we change the query very slightly to insert the results into a Table Variable? We change nothing else and just measure the execution time of the statement as before. Suddenly, the table variable isn’t looking so much better, even taking into account the time involved in doing the table insert. OK, if you haven’t used OPTION (RECOMPILE) then you’re toast. Otherwise, there isn’t much in it between the Table variable and the temporary table. The table variable is faster up to 8000 rows and then not much in it up to 100,000 rows. Past the 8000 row mark, we’ve lost the advantage of the table variable’s speed. Any general rule you may be formulating has just gone for a walk. What we can conclude from this experiment is that if you join two table variables, and can’t use constraints, you’re going to need that Option (RECOMPILE) hint. Count Dracula and the Horror Join. These tables of integers provide a rather unreal example, so let’s try a rather different example, and get stuck into some implicit indexing, by using constraints. What unusual words are contained in the book ‘Dracula’ by Bram Stoker? Here we get a table of all the common words in the English language (60,387 of them) and put them in a table. We put them in a Table Variable with the word as a primary key, a Table Variable Heap and a Table Variable with a primary key. We then take all the distinct words used in the book ‘Dracula’ (7,558 of them). We then create a table variable and insert into it all those uncommon words that are in ‘Dracula’. i.e. all the words in Dracula that aren’t matched in the list of common words. To do this we use a left outer join, where the right-hand value is null. The results show a huge variation, between the sublime and the gorblimey. If both tables contain a Primary Key on the columns we join on, and both are Table Variables, it took 33 Ms. If one table contains a Primary Key, and the other is a heap, and both are Table Variables, it took 46 Ms. If both Table Variables use a unique constraint, then the query takes 36 Ms. If neither table contains a Primary Key and both are Table Variables, it took 116383 Ms. Yes, nearly two minutes!! If both tables contain a Primary Key, one is a Table Variables and the other is a temporary table, it took 113 Ms. If one table contains a Primary Key, and both are Temporary Tables, it took 56 Ms.If both tables are temporary tables and both have primary keys, it took 46 Ms. Here we see table variables which are joined on their primary key again enjoying a  slight performance advantage over temporary tables. Where both tables are table variables and both are heaps, the query suddenly takes nearly two minutes! So what if you have two heaps and you use option Recompile? If you take the rogue query and add the hint, then suddenly, the query drops its time down to 76 Ms. If you add unique indexes, then you've done even better, down to half that time. Here are the text execution plans.So where have we got to? Without drilling down into the minutiae of the execution plans we can begin to create a hypothesis. If you are using table variables, and your tables are relatively small, they are faster than temporary tables, but as the number of rows increases you need to do one of two things: either you need to have a primary key on the column you are using to join on, or else you need to use option (RECOMPILE) If you try to execute a query that is a join, and both tables are table variable heaps, you are asking for trouble, well- slow queries, unless you give the table hint once the number of rows has risen past a point (30,000 in our first example, but this varies considerably according to context). Kevin’s Skew In describing the table-size, I used the term ‘relatively small’. Kevin Boles produced an interesting case where a single-row table variable produces a very poor execution plan when joined to a very, very skewed table. In the original, pasted into my article as a comment, a column consisted of 100000 rows in which the key column was one number (1) . To this was added eight rows with sequential numbers up to 9. When this was joined to a single-tow Table Variable with a key of 2 it produced a bad plan. This problem is unlikely to occur in real usage, and the Query Optimiser team probably never set up a test for it. Actually, the skew can be slightly less extreme than Kevin made it. The following test showed that once the table had 54 sequential rows in the table, then it adopted exactly the same execution plan as for the temporary table and then all was well. Undeniably, real data does occasionally cause problems to the performance of joins in Table Variables due to the extreme skew of the distribution. We've all experienced Perfectly Poisonous Table Variables in real live data. As in Kevin’s example, indexes merely make matters worse, and the OPTION (RECOMPILE) trick does nothing to help. In this case, there is no option but to use a temporary table. However, one has to note that once the slight de-skew had taken place, then the plans were identical across a huge range. Conclusions Where you need to hold intermediate results as part of a process, Table Variables offer a good alternative to temporary tables when used wisely. They can perform faster than a temporary table when the number of rows is not great. For some processing with huge tables, they can perform well when only a clustered index is required, and when the nature of the processing makes an index seek very effective. Table Variables are scoped to the batch or procedure and are unlikely to hang about in the TempDB when they are no longer required. They require no explicit cleanup. Where the number of rows in the table is moderate, you can even use them in joins as ‘Heaps’, unindexed. Beware, however, since, as the number of rows increase, joins on Table Variable heaps can easily become saddled by very poor execution plans, and this must be cured either by adding constraints (UNIQUE or PRIMARY KEY) or by adding the OPTION (RECOMPILE) hint if this is impossible. Occasionally, the way that the data is distributed prevents the efficient use of Table Variables, and this will require using a temporary table instead. Tables Variables require some awareness by the developer about the potential hazards and how to avoid them. If you are not prepared to do any performance monitoring of your code or fine-tuning, and just want to pummel out stuff that ‘just runs’ without considering namby-pamby stuff such as indexes, then stick to Temporary tables. If you are likely to slosh about large numbers of rows in temporary tables without considering the niceties of processing just what is required and no more, then temporary tables provide a safer and less fragile means-to-an-end for you.

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  • NRF Week - Disney Store Tour

    - by sarah.taylor(at)oracle.com
    Disney has created a real buzz at this year's NRF event. Yesterday morning we began the Oracle Retail Exchange program with a visit to the flagship Disney store in Times Square. Additionally Oracle made a key announcement with Disney  on Oracle Retail's Point of Sale implementation in 330 stores worldwide. Today   Disney's Steve Finney gave a super session on The Magic of Disney at the NRF Big Show. We also saw Disney making an exclusive news announcement about their plans for Global store openings at the Oracle trade show stand - with a little help from Mickey and Minnie Mouse. Disney Stores have been entirely reinvented since the company in 2008 took ownership after previously franchising the retail arm of the business. They have subsequently been a strong Oracle partner and technology has played a key role in their re imagination of the store environment. The new Imagination stores have a 20% higher footfall and margins are up 25%. The Disney brand is synonymous with magical and memorable experiences for children of all ages. The company is achieving a unique retail experience that delights children and shareholders alike! Technology is a key pillar in helping to deliver on both a strong operating model and a unique customer experience - the best thirty minutes in a child's day is their aim. Steve Finney this morning said their technology has to be as reliable as a theme park ride. Store experiences are much more enjoyable when there are short waiting times and children can interact with their favourite characters through magic mirrors, mobile point of sale, touch screens and custom animations that are digitally transmitted to stores globally. The Oracle Retail Point of Sale with iPad touch screens reduces check out times, stores customer data, ensures that promotions are delivered accurately and reduces losses. This means higher levels of guest conversion, increased availability and convenience for customers who want to check availability at other locations. Disney is a pioneer. At NRF's 100th show, we had the privilege of learning from a retailer using technology as a creative force to drive their business forward.

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  • PARTNER WEBCASTS: EMEA ALLIANCES AND CHANNELS HARDWARE WEBINARS, JULY 2012

    - by mseika
    PARTNER WEBCASTS: EMEA ALLIANCES AND CHANNELS HARDWARE WEBINARS, JULY 2012Dear partner Oracle is pleased to invite you to the following webcasts dedicated to our EMEA partner community and designed to provide you with important news on our SPARC and Storage product portfolios. Please ensure you don't miss these unique learning opportunities! 1. How to Make Money Selling SPARC!3PM CET (2pm UKT), Tuesday, July 10, 2012 The webcast will be hosted by - Rob Ludeman, from SPARC Product Management, and Thomas Ressler, WWA&C Alliances Consultant. Agenda: To bring our partners timely, valuable information, focused on increase in their success during selling SPARC systems. The webcast will be focused and targeted on specific topics and will last approximately in 30 minutes.You can submit your questions via WebEx chat and there will be a live Q&A session at the end of the webcast. REGISTER NOW 2. Introduction to Oracle’s New StorageTek SL150 Modular Tape Library3pm CET (2pm UK), Thursday, July 12, 2012 This webcast will help you to understand Oracle's New StorageTek SL150 Modular tape library which is the first scalable tape library designed for small and midsized companies that are experiencing high growth. Built from Oracle software and StorageTek library technology, it delivers a cost-effective combination of ease of use and scalability, resulting in overall TCO savings. During the webcast Cindy McCurley, from Tape Product Management will introduce you to the latest addition to the Oracle Tape Storage product portfolio, theSL150 Modular Tape Library.This 60 minutes webcast will cover the product’s features, positioning, unique selling points and a competitive overview on StorageTek. You can submit your questions via WebEx chat and there will be a live Q&A session at the end of the webcast. REGISTER NOW Delivery FormatThis FREE online LIVE eSeminar will be delivered over the Web and Conference Call. Note: Please join the call 10 minutes before the scheduled start time. We look forward to your participation. Best regards, Giuseppe FacchettiEMEA Partner Business Development Manager, Oracle Hardware Sales Sasan MoaveniEMEA Storage Sales Manager, Oracle Hardware Sales

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  • PARTNER WEBCASTS: EMEA ALLIANCES AND CHANNELS HARDWARE WEBINARS, JULY 2012

    - by mseika
    PARTNER WEBCASTS: EMEA ALLIANCES AND CHANNELS HARDWARE WEBINARS, JULY 2012Dear partner Oracle is pleased to invite you to the following webcasts dedicated to our EMEA partner community and designed to provide you with important news on our SPARC and Storage product portfolios. Please ensure you don't miss these unique learning opportunities! 1. How to Make Money Selling SPARC!3PM CET (2pm UKT), Tuesday, July 10, 2012 The webcast will be hosted by - Rob Ludeman, from SPARC Product Management, and Thomas Ressler, WWA&C Alliances Consultant. Agenda: To bring our partners timely, valuable information, focused on increase in their success during selling SPARC systems. The webcast will be focused and targeted on specific topics and will last approximately in 30 minutes.You can submit your questions via WebEx chat and there will be a live Q&A session at the end of the webcast. REGISTER NOW 2. Introduction to Oracle’s New StorageTek SL150 Modular Tape Library3pm CET (2pm UK), Thursday, July 12, 2012 This webcast will help you to understand Oracle's New StorageTek SL150 Modular tape library which is the first scalable tape library designed for small and midsized companies that are experiencing high growth. Built from Oracle software and StorageTek library technology, it delivers a cost-effective combination of ease of use and scalability, resulting in overall TCO savings. During the webcast Cindy McCurley, from Tape Product Management will introduce you to the latest addition to the Oracle Tape Storage product portfolio, theSL150 Modular Tape Library.This 60 minutes webcast will cover the product’s features, positioning, unique selling points and a competitive overview on StorageTek. You can submit your questions via WebEx chat and there will be a live Q&A session at the end of the webcast. REGISTER NOW Delivery FormatThis FREE online LIVE eSeminar will be delivered over the Web and Conference Call. Note: Please join the call 10 minutes before the scheduled start time. We look forward to your participation. Best regards, Giuseppe FacchettiEMEA Partner Business Development Manager, Oracle Hardware Sales Sasan MoaveniEMEA Storage Sales Manager, Oracle Hardware Sales

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  • Proper Data Structure for Commentable Comments

    - by Wesley
    Been struggling with this on an architectural level. I have an object which can be commented on, let's call it a Post. Every post has a unique ID. Now I want to comment on that Post, and I can use ID as a foreign key, and each PostComment has an ItemID field which correlates to the Post. Since each Post has a unique ID, it is very easy to assign "Top Level" comments. When I comment on a comment however, I feel like I now need a PostCommentComment, which attaches to the ID of the PostComment. Since ID's are assigned sequentially, I can no longer simply use ItemID to differentiate where in the tree the comment is assigned. I.E. both a Post and a Post Comment might have an ID of '5', so my foreign key relationship is invalid. This seems like it could go on infinitely, with PostCommentCommentComment's etc... What's the best way to solve this? Should I have a field in the comment called "IsPostComment" or something of the like to know which collection to attach the ID to? This strikes me as the best solution I've seen so far, but now I feel like I need to make recursive DataBase calls which start to get expensive. Meaning, I get a Post and get all PostComments where ItemID == Post.ID && where IsPostComment == true Then I take that as a collection, gather all the ID's of the PostComments, and do another search where ItemID == PostComment[all].ID && where IsPostComment == false, then repeat infinitely. This means I make a call for every layer, and if I'm calling 100 Posts, I might make 1000 DB calls to get 10 layers of comments each. What is the right way to do this?

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  • Oracle’s Java Community Outreach Plan

    - by Tori Wieldt
    As the steward of Java, Oracle recognizes the importance and value of the Java community, and the relevant role it plays in keeping Java the largest, most vibrant developer community in the world.   In order to increase Oracle’s touch with Java developers worldwide, we are shifting our focus from a flagship JavaOne event followed by several regional JavaOne conferences, to a new outreach model which continues with the JavaOne flagship event, as well as a mix of online content, regional Java Tours, and regional 3rd party event participation.  1. JavaOne JavaOne continues to remain the premier hub for Java developers where you are given the opportunity to improve your Java technical skills, and interact with other members of the Java community. JavaOne is centered on open collaboration and sharing, and Oracle will continue to invest in JavaOne as a unique stand-alone event for the Java community. Oracle recognizes that many developers cannot attend JavaOne in person, therefore Oracle will share the wealth of the unique event material to those developers through a new and easy-to-access online Java program. While online JavaOne content cannot address the importance of actual face-to-face community/developer engagements and networking, online content does aide in extending the Java technical learning opportunity to a broader collection of developers. 2. Java Developer Day Tours Oracle will execute regional Java Developer Days with recognized Java User Groups (JUGs) with participation from Java Evangelist and Java Champions. This allows local, regional specific Java topics to be addressed both by Oracle and the Java community. In addition, Oracle will deliver more virtual technical content programs to reach developers where an existing JUG may not have a presence. 3. Sponsorship of Community-Driven Regional Events/Conferences Oracle also recognizes that improved community dialog and relations are achievable by continued Oracle sponsorship and onsite participation at both established/well-recognized 3rd party events and new emerging/growing 3rd party events. Oracle’s ultimate goal is to be an even better steward for Java by reaching more of the Java ecosystem with face-to-face and online community engagements. We look forward to planning tours and events with you, members of the Java community.

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  • How to deal with colleagues refuse to follow practices?

    - by Adrian Shum
    I was discussing with another colleague about what we should be used when an DB entity is referring to another. I don't think there is any good reason to break the practice of putting the Primary Key in the referring entity. However, one of my colleague says: "You should use a surrogate key in the entity, but it is better to put the human-readable natural key in the referring entity. As long it is unique, it is fine and it is easier when you are doing support or maintenance job" I know it will works, but obviously it is not a good practice you are putting a non-PK unique column as "foreign key", just for gaining a bit of ease in writing SQL during support as we can have less table join. Though I mentioned the his approach is conceptual incorrect, and causing problem too practically etc, he seems rather trade off correctness in data model in exchange of ease of maintenance. And he said: "I know it is not good practice, but good practice is not golden rule" Honestly I feel frustrated when dealing with something like this. I know there are always case that we should break some rule or practice, but doubtless it is not such case now. What will you when you are facing situation like this? Please assume yourself being a senior developer which is expected to contribute in misc development direction and convention.

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  • SQL Rally Pre-Con: Data Warehouse Modeling – Making the Right Choices

    - by Davide Mauri
    As you may have already learned from my old post or Adam’s or Kalen’s posts, there will be two SQL Rally in North Europe. In the Stockholm SQL Rally, with my friend Thomas Kejser, I’ll be delivering a pre-con on Data Warehouse Modeling: Data warehouses play a central role in any BI solution. It's the back end upon which everything in years to come will be created. For this reason, it must be rock solid and yet flexible at the same time. To develop such a data warehouse, you must have a clear idea of its architecture, a thorough understanding of the concepts of Measures and Dimensions, and a proven engineered way to build it so that quality and stability can go hand-in-hand with cost reduction and scalability. In this workshop, Thomas Kejser and Davide Mauri will share all the information they learned since they started working with data warehouses, giving you the guidance and tips you need to start your BI project in the best way possible?avoiding errors, making implementation effective and efficient, paving the way for a winning Agile approach, and helping you define how your team should work so that your BI solution will stand the test of time. You'll learn: Data warehouse architecture and justification Agile methodology Dimensional modeling, including Kimball vs. Inmon, SCD1/SCD2/SCD3, Junk and Degenerate Dimensions, and Huge Dimensions Best practices, naming conventions, and lessons learned Loading the data warehouse, including loading Dimensions, loading Facts (Full Load, Incremental Load, Partitioned Load) Data warehouses and Big Data (Hadoop) Unit testing Tracking historical changes and managing large sizes With all the Self-Service BI hype, Data Warehouse is become more and more central every day, since if everyone will be able to analyze data using self-service tools, it’s better for him/her to rely on correct, uniform and coherent data. Already 50 people registered from the workshop and seats are limited so don’t miss this unique opportunity to attend to this workshop that is really a unique combination of years and years of experience! http://www.sqlpass.org/sqlrally/2013/nordic/Agenda/PreconferenceSeminars.aspx See you there!

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  • Free Windows Store and Phone Developer Accounts for MSDN Subscribers

    - by Clint Edmonson
    If you are a member/subscriber to any of the following programs you are eligible to receive one-time, 12-month Windows Store and Windows Phone developer accounts.  Visual Studio Professional with MSDN Visual Studio Test Professional with MSDN Visual Studio Premium with MSDN Visual Studio Ultimate with MSDN BizSpark On September 11, 2012 Microsoft announced that Windows Store is open to individual developers (Company only registration became available on August 1st). This means that eligible MSDN subscribers will be able to select between an individual and company account when registering for their developer account benefit.   New or existing subscribers will see developer accounts listed as a benefit on the Getting Started page as well as various MSDN overview pages. Now that you have this benefit why not get started.  To activate this benefit, subscribers are provided with a unique token for each of the developer accounts. The tokens will work for both individual and company registration. To acquire and redeem the token: 1. Log into My Account. 2. Click on ‘Get Code’. A unique token will be delivered to each subscriber. 3. Click on ‘How to Register’ (link will appear once code is claimed). A developer account details page will display that includes an overview of the benefit, token and registration information. 4. Click on the link to ‘Register your code’.  This launches the developer account registration process. Ready to start developing?  Head over to Generation App to get started.

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  • Is browser fingerprinting a viable technique for identifying anonymous users?

    - by SMrF
    Is browser fingerprinting a sufficient method for uniquely identifying anonymous users? What if you incorporate biometric data like mouse gestures or typing patterns? The other day I ran into the Panopticlick experiment EFF is running on browser fingerprints. Of course I immediately thought of the privacy repercussions and how it could be used for evil. But on the other hand, this could be used for great good and, at the very least, it's a tempting problem to work on. While researching the topic I found a few companies using browser fingerprinting to attack fraud. And after sending out a few emails I can confirm at least one major dating site is using browser fingerprinting as but one mechanism to detect fake accounts. (Note: They have found it's not unique enough to act as an identity when scaling up to millions of users. But, my programmer brain doesn't want to believe them). Here is one company using browser fingerprints for fraud detection and prevention: http://www.bluecava.com/ Here is a pretty comprehensive list of stuff you can use as unique identifiers in a browser: http://browserspy.dk/

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  • As an indie game dev, what processes are the best for soliciting feedback on my design/spec/idea? [closed]

    - by Jess Telford
    Background I have worked in a professional environment where the process usually goes like the following: Brain storm idea Solidify the game mechanics / design Iterate on design/idea to create a more solid experience Spec out the details of the design/idea Build it Step 3. is generally done with the stakeholders of the game (developers, designers, investors, publishers, etc) to reach an 'agreement' which meets the goals of all involved. Due to this process involving a series of often opposing and unique view points, creative solutions can surface through discussion / iteration. This is backed up by a process for collating the changes / new ideas, as well as structured time for discussion. As a (now) indie developer, I have to play the role of all the stakeholders (developers, designers, investors, publishers, etc), and often find myself too close to the idea / design to do more than minor changes, which I feel to be local maxima when it comes to the best result (I'm looking for the global maxima, of course). I have read that ideas / game designs / unique mechanics are merely multipliers of execution, and that keeping them secret is just silly. In sharing the idea with others outside the realm of my own thinking, I hope to replicate the influence other stakeholders have. I am struggling with the collation of changes / new ideas, and any kind of structured method of receiving feedback. My question: As an indie game developer, how and where can I share my ideas/designs to receive meaningful / constructive feedback? How can I successfully collate the feedback into a new iteration of the design? Are there any specialized websites, etc?

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  • Partner Webcasts: EMEA Alliances & Channels Hardware Webinars, July 2012

    - by swalker
    Dear partner Oracle is pleased to invite you to the following webcasts dedicated to our EMEA partner community and designed to provide you with important news on our SPARC and Storage product portfolios. Please ensure you don't miss these unique learning opportunities! 1. How to Make Money Selling SPARC! TOMORROW: 3PM CET (2pm UKT), Tuesday, July 10, 2012 The webcast will be hosted by - Rob Ludeman, from SPARC Product Management Agenda: To bring our partners timely, valuable information, focused on increase in their success during selling SPARC systems. The webcast will be focused and targeted on specific topics and will last approximately in 30 minutes.You can submit your questions via WebEx chat and there will be a live Q&A session at the end of the webcast. REGISTER 2. Introduction to Oracle’s New StorageTek SL150 Modular Tape Library 3pm CET (2pm UK), Thursday, July 12, 2012 This webcast will help you to understand Oracle's New StorageTek SL150 Modular tape library which is the first scalable tape library designed for small and midsized companies that are experiencing high growth. Built from Oracle software and StorageTek library technology, it delivers a cost-effective combination of ease of use and scalability, resulting in overall TCO savings. During the webcast Cindy McCurley, from Tape Product Management will introduce you to the latest addition to the Oracle Tape Storage product portfolio, the SL150 Modular Tape Library. This 60 minutes webcast will cover the product’s features, positioning, unique selling points and a competitive overview on StorageTek. You can submit your questions via WebEx chat and there will be a live Q&A session at the end of the webcast. REGISTER Delivery Format This FREE online LIVE eSeminar will be delivered over the Web and Conference Call. Note: Please join the call 10 minutes before the scheduled start time. We look forward to your participation. Best regards, Giuseppe Facchetti EMEA Partner Business Development Manager, Oracle Hardware Sales Sasan Moaveni EMEA Storage Sales Manager, Oracle Hardware Sales

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  • Integration Patterns with Azure Service Bus Relay, Part 3: Anonymous partial-trust consumer

    - by Elton Stoneman
    This is the third in the IPASBR series, see also: Integration Patterns with Azure Service Bus Relay, Part 1: Exposing the on-premise service Integration Patterns with Azure Service Bus Relay, Part 2: Anonymous full-trust .NET consumer As the patterns get further from the simple .NET full-trust consumer, all that changes is the communication protocol and the authentication mechanism. In Part 3 the scenario is that we still have a secure .NET environment consuming our service, so we can store shared keys securely, but the runtime environment is locked down so we can't use Microsoft.ServiceBus to get the nice WCF relay bindings. To support this we will expose a RESTful endpoint through the Azure Service Bus, and require the consumer to send a security token with each HTTP service request. Pattern applicability This is a good fit for scenarios where: the runtime environment is secure enough to keep shared secrets the consumer can execute custom code, including building HTTP requests with custom headers the consumer cannot use the Azure SDK assemblies the service may need to know who is consuming it the service does not need to know who the end-user is Note there isn't actually a .NET requirement here. By exposing the service in a REST endpoint, anything that can talk HTTP can be a consumer. We'll authenticate through ACS which also gives us REST endpoints, so the service is still accessed securely. Our real-world example would be a hosted cloud app, where we we have enough room in the app's customisation to keep the shared secret somewhere safe and to hook in some HTTP calls. We will be flowing an identity through to the on-premise service now, but it will be the service identity given to the consuming app - the end user's identity isn't flown through yet. In this post, we’ll consume the service from Part 1 in ASP.NET using the WebHttpRelayBinding. The code for Part 3 (+ Part 1) is on GitHub here: IPASBR Part 3. Authenticating and authorizing with ACS We'll follow the previous examples and add a new service identity for the namespace in ACS, so we can separate permissions for different consumers (see walkthrough in Part 1). I've named the identity partialTrustConsumer. We’ll be authenticating against ACS with an explicit HTTP call, so we need a password credential rather than a symmetric key – for a nice secure option, generate a symmetric key, copy to the clipboard, then change type to password and paste in the key: We then need to do the same as in Part 2 , add a rule to map the incoming identity claim to an outgoing authorization claim that allows the identity to send messages to Service Bus: Issuer: Access Control Service Input claim type: http://schemas.xmlsoap.org/ws/2005/05/identity/claims/nameidentifier Input claim value: partialTrustConsumer Output claim type: net.windows.servicebus.action Output claim value: Send As with Part 2, this sets up a service identity which can send messages into Service Bus, but cannot register itself as a listener, or manage the namespace. RESTfully exposing the on-premise service through Azure Service Bus Relay The part 3 sample code is ready to go, just put your Azure details into Solution Items\AzureConnectionDetails.xml and “Run Custom Tool” on the .tt files.  But to do it yourself is very simple. We already have a WebGet attribute in the service for locally making REST calls, so we are just going to add a new endpoint which uses the WebHttpRelayBinding to relay that service through Azure. It's as easy as adding this endpoint to Web.config for the service:         <endpoint address="https://sixeyed-ipasbr.servicebus.windows.net/rest"                   binding="webHttpRelayBinding"                    contract="Sixeyed.Ipasbr.Services.IFormatService"                   behaviorConfiguration="SharedSecret">         </endpoint> - and adding the webHttp attribute in your endpoint behavior:           <behavior name="SharedSecret">             <webHttp/>             <transportClientEndpointBehavior credentialType="SharedSecret">               <clientCredentials>                 <sharedSecret issuerName="serviceProvider"                               issuerSecret="gl0xaVmlebKKJUAnpripKhr8YnLf9Neaf6LR53N8uGs="/>               </clientCredentials>             </transportClientEndpointBehavior>           </behavior> Where's my WSDL? The metadata story for REST is a bit less automated. In our local webHttp endpoint we've enabled WCF's built-in help, so if you navigate to: http://localhost/Sixeyed.Ipasbr.Services/FormatService.svc/rest/help - you'll see the uri format for making a GET request to the service. The format is the same over Azure, so this is where you'll be connecting: https://[your-namespace].servicebus.windows.net/rest/reverse?string=abc123 Build the service with the new endpoint, open that in a browser and you'll get an XML version of an HTTP status code - a 401 with an error message stating that you haven’t provided an authorization header: <?xml version="1.0"?><Error><Code>401</Code><Detail>MissingToken: The request contains no authorization header..TrackingId:4cb53408-646b-4163-87b9-bc2b20cdfb75_5,TimeStamp:10/3/2012 8:34:07 PM</Detail></Error> By default, the setup of your Service Bus endpoint as a relying party in ACS expects a Simple Web Token to be presented with each service request, and in the browser we're not passing one, so we can't access the service. Note that this request doesn't get anywhere near your on-premise service, Service Bus only relays requests once they've got the necessary approval from ACS. Why didn't the consumer need to get ACS authorization in Part 2? It did, but it was all done behind the scenes in the NetTcpRelayBinding. By specifying our Shared Secret credentials in the consumer, the service call is preceded by a check on ACS to see that the identity provided is a) valid, and b) allowed access to our Service Bus endpoint. By making manual HTTP requests, we need to take care of that ACS check ourselves now. We do that with a simple WebClient call to the ACS endpoint of our service; passing the shared secret credentials, we will get back an SWT: var values = new System.Collections.Specialized.NameValueCollection(); values.Add("wrap_name", "partialTrustConsumer"); //service identity name values.Add("wrap_password", "suCei7AzdXY9toVH+S47C4TVyXO/UUFzu0zZiSCp64Y="); //service identity password values.Add("wrap_scope", "http://sixeyed-ipasbr.servicebus.windows.net/"); //this is the realm of the RP in ACS var acsClient = new WebClient(); var responseBytes = acsClient.UploadValues("https://sixeyed-ipasbr-sb.accesscontrol.windows.net/WRAPv0.9/", "POST", values); rawToken = System.Text.Encoding.UTF8.GetString(responseBytes); With a little manipulation, we then attach the SWT to subsequent REST calls in the authorization header; the token contains the Send claim returned from ACS, so we will be authorized to send messages into Service Bus. Running the sample Navigate to http://localhost:2028/Sixeyed.Ipasbr.WebHttpClient/Default.cshtml, enter a string and hit Go! - your string will be reversed by your on-premise service, routed through Azure: Using shared secret client credentials in this way means ACS is the identity provider for your service, and the claim which allows Send access to Service Bus is consumed by Service Bus. None of the authentication details make it through to your service, so your service is not aware who the consumer is (MSDN calls this "anonymous authentication").

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  • The Differences between MAC Address and Network Layer Address

    A Mac address is a fixed number associated with a NICs onboard memory. It is initially assigned at the factory. The MAC address is broken up into 2 parts. The first part is the Block id which is six digit sequences that is unique to each vender. The second section is the device id which is created and assigned by the manufacture. A Network layer address is different because there format based on the type of protocol and network used. Also, there unique id is based on a hierarchal addressing theme on subsets of data  and narrowing it down. Just like in an address you can narrow down your house, for example: Florida, Boca Raton, 33428, SW 53th street states that you live in Florida. You also live in the area located in Florida called Boca Raton and you are also in the area of 33428 which is located in Boca Raton. Finally you live on SW 8th street which is in the area of 33428 which is located in Boca Raton which is also located in Florida.

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