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  • Index out of range, but why?

    - by Stuart
    I have a gridview, and i have a SelectedIndexChanged event on it... protected void GridView1_SelectedIndexChanged(object sender, EventArgs e) { GridViewRow Row = GridView1.SelectedRow; //do some stuff } Then i get an error... Index was out of range. Must be non-negative and less than the size of the collection. Parameter name: index I dont understand why, the Gridview is being binded in pageload. but not in post back... if (!IsPostBack) { GridView1.DataSource = UserAccounts; GridView1.DataBind(); }

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  • Layering of CSS with z-index

    - by Matt Hintzke
    I have a created a 3 circle venn diagram using pure CSS3 and each circle has a :hover event attached to it. I also have an image of an arrow which is pointing to the center of the venn diagram. I want the arrow to visually appear to be on top of the circles, so I put the z-index higher on the arrow than the circles. The problem now, is that the :hover event does not trigger on half of the venn diagram now because the arrow image is on top, which causes the hover to be on top of the arrow rather than the circle that I want it to be over. So is it possible to make an element have a high z-index visually but not programmatically?

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  • removing index.php of codeigniter on local

    - by Aldi Aryanto
    i'm trying to remove index.php,in my localhost, but it seems doesn't working,its on http://localhost/testing i put .htacces in 'testing' directory under the htdocs LoadModule rewrite_module modules/mod_rewrite.so at apache/conf also already uncheck here my .htaccess RewriteEngine On RewriteBase /testing/ RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteRule ^(.*)$ /testing/index.php/$1 [L] here my config $config['base_url'] = "http://localhost/testing"; $config['index_page'] = ''; $config['uri_protocol'] = 'AUTO'; when i access login controller, it's not found Not Found The requested URL /testing/login was not found on this server. I really don't know what to try next. Any help would be appreciated.

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  • MySQL Integer vs DateTime index

    - by David Kuridža
    Let me start by saying I have looked at many similar questions asked, but all of them relate to Timestamp and DateTime field type without indexing. At least that is my understanding. As we all know, there are certain advantages when it comes to DateTime. Putting them aside for a minute, and assuming table's engine is InnoDB with 10+ million records, which query would perform faster when criteria is based on: DateTime with index int with index In other words, it is better to store date and time as DateTime or UNIX timestamp in int? Keep in mind there is no need for any built-in MySQL functions to be used.

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  • undefined index mode, which is the variable that case statement is looking for

    - by Brad
    receiving error: PHP Notice: Undefined index: mode in /web/ee_web/include/form-modal.php on line 51 line 51 switch($_GET["mode"]) { block of code it is in: switch($_GET["mode"]) { case "login": login_user(); break; case "logout": session_destroy(); print "<p>You are now logged out.</p>"; print "<p><input type=\"submit\" id=\"closeButton\" name=\"closeButton\" value=\"Close\" onclick=\"self.parent.tb_remove(); parent.location.reload(1);\" /></p>"; break; default: login_user(); //print "<p>How'd you end up here?</p>"; break; } The URL for the page is index.php?mode=logout, that is how I am passing the value into mode. Any way I could resolve this error message?

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  • Demantra 7.3.1.3 Controlling MDP_MATRIX Combinations Assigned to Forecasting Tasks Using TargetTaskSize

    - by user702295
    New 7.3.1.3 parameter: TargetTaskSize Old parameter: BranchID  Multiple, deprecated  7.3.1.3 onwards Parameter Location: Parameters > System Parameters > Engine > Proport   Default: 0   Engine Mode: Both   Details: Specifies how many MDP_MATRIX combinations the analytical engine attempts to assign to each forecasting task.  Allocation will be affected by forecsat tree branch size.  TaskTargetSize is automcatically calculated.  It holds the perferred branch size, in number of combinations in the lowest level. This parameter is adjusted to a lower value for smaller schemas, depending on the number of available engines.   - As the forecast is generated the engine goes up the tree using max_fore_level and not top_level -1.  Max_fore_level has     to be less than or equal to top_level -1.  Due to this requirement, combinations falling under the same top level -1     member must be in the same task.  A member of the top level -1 of the forecast tree is known as a branch.  An engine     task is therefore comprised of one or more branches.     - Reveal current task size       go to Engine Administrator --> View --> Branch Information and run the application on your Demantra schema.  This will be deprecated in 7.3.1.3 since there is no longer a means of adjusting the brach size directly.  The focus is now on proper hierarchy / forecast design.     - Control of tasks       The number of tasks created is the lowest of number of branches, as defined by top level -1 members in forecast       tree, and engine sessions and the value of TargetTaskSize.  You are used to using the branch multiplier in this       calculation.  As of 7.3.1.3, the branch ID multiple is deprecated.     - Discovery of current branch size       To resolve this you must review the 2nd highest level in the forecast tree (below highest/highest) as this is the       level which determines the size of the branches.  If a few resulting tasks are too large it is recommended that       the forecast tree level driving branches be revised or at times completely removed from the forecast tree.     - Control of foreacast tree branch size         - Run the following sql to determine how even the branches are being split by the engine:             select count(*),branch_id from mdp_matrix where prediction_status = 1 and do_fore = 1 group by branch_id;             This will give you an understanding if some of the individual branches have an unusually large number of           rows and thus might indicate that the engine is not efficiently dividing up the parallel tasks.         - Based on the results of this sql, we may want to adjust the branch id multiplier and/or the number of engines           (both of these settings are found in the Engine Administrator)           select count(*), level_id from mdp_matrix where prediction_status = 1 and do_fore = 1 group by level_id;           This will give us an understanding at which level of the Forecast tree where the forecast is being generated.            Having a majority of combinations higher on the forecast tree might indicate either a poorly designed forecast           tree and/or engine parameters that are too strict           Based on the results of this we would adjust the Forecast Tree to see if choosing a different hierarchy might           produce a forecast, with more combinations, at a lower level.           For example:             - Review the 2nd highest level in the forecast tree, below highest/highest, as this is the level which               determines the size of the branches.             - If a few resulting tasks are too large it is recommended that the forecast tree level driving branches               be revised or at times completely removed from the forecast tree.               - For example, if the highest level of the forecast tree is set to Brand/All Locations.             - You have 10 brands but 2 of the brands account for 67% and 29% of all combinations.             - There is a distinct possibility that the tasks resulting from these 2 branches will be too large for               a single engine to process.  Some possible solutions could be to remove the Brand level and instead               use a different product grouping which has a more even distribution, possibly Product Group.               - It is also possible to add a location dimension to this forecast tree level, for example Customer.                This will also reduce forecast tree branch size and will deliver a balanced task allocation.             - A correctly configured Forecast Tree is something that is done by the Implementation team and is               not the responsibility of Oracle Support.  Allocation will be affected by forecast tree branch size.  When TargetTaskSize is set to 0, the default value, the system automatically calculates a value for 'TargetTaskSize' depending on the number of engines.   - QUESTION:  Does this mean that if TargetTaskSize is 1, we use tree branch size to allocate branches to tasks instead                of automatically calculating the size?     ANSWER: DEV Strongly recommends that the setting of TargetTaskSize remain at the DEFAULT of ZERO (0).   - How to control the number of engines?     Determine how many CPUs are on the machine(s) that is (are) running the engine.  As mentioned earlier, the general     rule is that you should designate 2 engines per each CPU that is available.  So for example, if you are running the     engine on a machine that has 4 CPU then you can have up to 8 engines designated in the Engine Administrator.  In this     type of architecture then instead of having one 'localhost' in your Engine Settings Screen, you would have 'localhost'     repeated eight times in this field.     Where do I set the number of engines?                 To add multiples computers where engine will run, please do a back-up of Settings.xml file under         Analytical Engines\bin\ folder, then edit it and add there the selected machines.                 Example, this will allow 3 engines to start:         - <Entry>           <Key argument="ComputerNames" />           <Value type="string" argument="localhost,localhost,localhost" />           </Entry Otherwise, if there are no additional engines defined, the calculated value of 'TargetTaskSize' is used. (Oracle does not recommend changing the default value.) The TargetTaskSize holds the engines prefered branch size, in number of level 1 combinations.   - Level 1 combinations, known as group size The engine manager will use this parameter to attempt creating branches with similar size.   * The engine manager will not create engines that do not have a branch. The engine divider algorithm uses the value of 'TargetTaskSize' as a system-preferred branch size to create branches that are more equal in size which improves engine performance.  The engine divider will try to add as many tasks as possible to an existing branch, up to the limit of 'TargetTaskSize' level 1 combinations, before adding new branches. Coming up next: - The engine divider - Group size - Level 1 combinations - MAX_FORE_LEVEL - Engine Parameters  

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  • NGINX MIME TYPE

    - by justanotherprogrammer
    I have my nginx conf file so that when ever a mobile device visits my site the url gets rewritten to m.mysite.com I did it by adding the following set $mobile_rewrite do_not_perform; if ($http_user_agent ~* "android.+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|symbian|treo|up\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino") { set $mobile_rewrite perform; } if ($http_user_agent ~* "^(1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|e\-|e\/|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(di|rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|xda(\-|2|g)|yas\-|your|zeto|zte\-)") { set $mobile_rewrite perform; } if ($mobile_rewrite = perform) { rewrite ^ http://m.mywebsite.com redirect; break; } I got it from http://detectmobilebrowsers.com/ IT WORKS.But none of my images/js/css files load only the HTML. And I know its the chunk of code I mentioned above because when I remove it and visit m.mywebsite.com from my mobile device everything loads up.So this bit of code does SOMETHING to my css/img/js MIME TYPES. I found this out through the the console error messages from safari with the user agent set to iphone. text.cssResource interpreted as stylesheet but transferred with MIME type text/html. 960_16_col.cssResource interpreted as stylesheet but transferred with MIME type text/html. design.cssResource interpreted as stylesheet but transferred with MIME type text/html. navigation_menu.cssResource interpreted as stylesheet but transferred with MIME type text/html. reset.cssResource interpreted as stylesheet but transferred with MIME type text/html. slide_down_panel.cssResource interpreted as stylesheet but transferred with MIME type text/html. myrealtorpage_view.cssResource interpreted as stylesheet but transferred with MIME type text/html. head.jsResource interpreted as script but transferred with MIME type text/html. head.js:1SyntaxError: Parse error isaac:208ReferenceError: Can't find variable: head mrp_home_icon.pngResource interpreted as image but transferred with MIME type text/html. M_1_L_289_I_499_default_thumb.jpgResource interpreted as image but transferred with MIME type text/html. M_1_L_290_I_500_default_thumb.jpgResource interpreted as image but transferred with MIME type text/html. M_1_default.jpgResource interpreted as image but transferred with MIME type text/html. default_listing_image.pngResource interpreted as image but transferred with MIME type text/html. here is my whole nginx conf file just incase... worker_processes 1; events { worker_connections 1024; } http { include mime.types; include /etc/nginx/conf/fastcgi.conf; default_type application/octet-stream; sendfile on; keepalive_timeout 65; #server1 server { listen 80; server_name mywebsite.com www.mywebsite.com ; index index.html index.htm index.php; root /srv/http/mywebsite.com/public; access_log /srv/http/mywebsite.com/logs/access.log; error_log /srv/http/mywebsite.com/logs/error.log; #---------------- For CodeIgniter ----------------# # canonicalize codeigniter url end points # if your default controller is something other than "welcome" you should change the following if ($request_uri ~* ^(/main(/index)?|/index(.php)?)/?$) { rewrite ^(.*)$ / permanent; } # removes trailing "index" from all controllers if ($request_uri ~* index/?$) { rewrite ^/(.*)/index/?$ /$1 permanent; } # removes trailing slashes (prevents SEO duplicate content issues) if (!-d $request_filename) { rewrite ^/(.+)/$ /$1 permanent; } # unless the request is for a valid file (image, js, css, etc.), send to bootstrap if (!-e $request_filename) { rewrite ^/(.*)$ /index.php?/$1 last; break; } #---------------------------------------------------# #--------------- For Mobile Devices ----------------# set $mobile_rewrite do_not_perform; if ($http_user_agent ~* "android.+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|symbian|treo|up\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino") { set $mobile_rewrite perform; } if ($http_user_agent ~* "^(1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|e\-|e\/|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(di|rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|xda(\-|2|g)|yas\-|your|zeto|zte\-)") { set $mobile_rewrite perform; } if ($mobile_rewrite = perform) { rewrite ^ http://m.mywebsite.com redirect; #rewrite ^(.*)$ $scheme://mywebsite.com/mobile/$1; #return 301 http://m.mywebsite.com; #break; } #---------------------------------------------------# location / { index index.html index.htm index.php; } error_page 500 502 503 504 /50x.html; location = /50x.html { root html; } location ~ \.php$ { try_files $uri =404; fastcgi_pass 127.0.0.1:9000; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; fastcgi_param PATH_INFO $fastcgi_script_name; include /etc/nginx/conf/fastcgi_params; } }#sever1 #server 2 server { listen 80; server_name m.mywebsite.com; index index.html index.htm index.php; root /srv/http/mywebsite.com/public; access_log /srv/http/mywebsite.com/logs/access.log; error_log /srv/http/mywebsite.com/logs/error.log; #---------------- For CodeIgniter ----------------# # canonicalize codeigniter url end points # if your default controller is something other than "welcome" you should change the following if ($request_uri ~* ^(/main(/index)?|/index(.php)?)/?$) { rewrite ^(.*)$ / permanent; } # removes trailing "index" from all controllers if ($request_uri ~* index/?$) { rewrite ^/(.*)/index/?$ /$1 permanent; } # removes trailing slashes (prevents SEO duplicate content issues) if (!-d $request_filename) { rewrite ^/(.+)/$ /$1 permanent; } # unless the request is for a valid file (image, js, css, etc.), send to bootstrap if (!-e $request_filename) { rewrite ^/(.*)$ /index.php?/$1 last; break; } #---------------------------------------------------# location / { index index.html index.htm index.php; } error_page 500 502 503 504 /50x.html; location = /50x.html { root html; } location ~ \.php$ { try_files $uri =404; fastcgi_pass 127.0.0.1:9000; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; fastcgi_param PATH_INFO $fastcgi_script_name; include /etc/nginx/conf/fastcgi_params; } }#sever2 }#http I could just detect the mobile browsers with php or javascript but i need to make the detection at the server level so that i can use the 'm' in m.mywebsite.com as a flag in my controllers (codeigniter) to serve up the right view. I hope someone can help me! Thank you!

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  • how do i set index priorty on nginx in order to load index.html before wordpress' .php files

    - by orbitalshocK
    hello there, gents. I'm an absolute beginner in linux, the CLI, as well as nginx and wordpress. i'm trying to make a 'coming soon' landing page that will take priority over the main wordpress installation i just set up. I want to make .html load before php, or get information on the Best Practices approach to this. I just now realized i could easily use the wordpress' generic "under construction" page and modify it. I'm sure it has one; i'm sure there's a plugin. Stats linode 1024 ubuntu 12.04 nginx 1.6.1 single wordpress installation (for now) set up using easyengine, but going to restart and configure nginx for my linode specifically probably. I managed to find one piece of instruction on how to change the httpd file to specify priority for apache 2, but did not find the same documentation for nginx. If it's not on the first page of google, then serverfault needs the question answered! Viva la Server Fault first page results!

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  • rebuild yum index on aws s3

    - by Chucks
    I am trying to rebuild yum repo on aws S3 after adding new packages. Here are few commands I am trying, but it is not helping. [root@chucks ~]$ createrepo --baseurl http://rpmcopy.xxxxx.com.s3-website-us-east-1.amazonaws.com /repodata/ --update Saving Primary metadata Saving file lists metadata Saving other metadata Generating sqlite DBs Sqlite DBs complete How do I give a path from S3? /repodata/ path is not relevent I believe. All my pkgs are under bucket s3://rpmcopy.xxxxx.com/. And repodata dir is under s3://rpmcopy.xxxxx.com/repodata

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  • Windows 7 x64 Pro not indexing PDF content ?

    - by Wookai
    In an attemp to get rid of all the paper clutter that I receive each day, I started scanning and ORCing all my important documents last year. I was using Windows Desktop Search on Vista to index my "Administrative" folder in which I keep all these scanned documents, to be able to quickly retreive them when needed. I upgraded to Windows 7 RTM recently (I got the x64 Pro version, via the MSDN-AA channel of my university). Since then, it seems that the content of the PDFs is not indexed anymore. For example, I have the warranty for my GTX260 graphic card. In the PDF, using Acrobat Reader, I can search for the string "GTX260" and it finds the relevant lines. However, if I perform the same search in the folder containing the PDF, nothing is found. I checked in the indexing options, the folder is supposed to be indexed.

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  • Outlook: Move 'flag status' index column to the left

    - by ripper234
    In 'Messages' (inbox) view in Outlook 2007, there is a list of all messages (one liners) with several field. The rightmost field is the 'Flag Status' field. I'm trying to move this icon to the left. All other columns are movable (via several methods), but this status icon is not. How can I move it to the left of the headers line?

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  • How to get Google Desktop to index searchable pdf's

    - by user4941
    I've got a scanner that converts documents to pdfs. The pdf that gets produced is searchable. However when google desktop indexes the file it doesn't appear to be indexing any of the contents of the pdf (although it is indexing the content of other pdfs on the computer). I believe Google Desktop only indexes pdfs that are searchable and don't have images. Have others found a good way around this problem? I'm trying to get my household and office paperless, and I'd like to just scan in documents and rely on Google Desktop to find stuff.

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  • Should this folder called Data be indexed?

    - by panny
    In the indexing options of Windows 7 there is a folder called Data which is excluded from indexing for the C:\ drive by default. Can someone confirm this, please? I was not able to locate that folder on my drive, nor include it in the search index. The difference in number of indexed files is unsatisfying: windows-7 native indexing service:377703 files on six drives; third party desktop search indexing service:698654 files on the same number of drives. Files in UA Control seem not being indexed without proper priviledges. How can this be circumvented?

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  • How to set a page as default for apache, that doesn't live in the directory and only applies if ther

    - by Kyle
    I know. This sounds complicated =D I made a PHP file browser, as an alternative to the apache one. I needed it for logic purposes, it does extra things for me, &etc. So instead of dropping this file in all of my directories, how could I get it to "show up" in all my directories that don't have an index (would use the apache dirlisting by default)? Thanks for the help! Edit I wonder if this could be done using Alias and DirectoryIndex? Is it possible to alias to a file?

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  • Application or plugin for turning screenshots into searchable text?

    - by Software dood
    It's a common practice in our company that people take screenshots of any software error situation they get into, and then they paste the screenshots in mail messages and/or Word documents that get sent and forwarded back and forth. I have lots of stuff like this in my Outlook mail archives, and the problem with it is, the screenshots aren't searchable, because they're just dumb images as far as Outlook or Windows Search are concerned. Sometimes I edit the original mail messages and type the text (typically an error message) from the screenshot into the message, but quite rarely, because it's slow and prone to typing errors. Is there a program or Outlook or Windows plugin that would OCR and index images in the Outlook mail archives, so the image contents would become indexable?

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  • How to find the insertion point in an array using binary search?

    - by ????
    The basic idea of binary search in an array is simple, but it might return an "approximate" index if the search fails to find the exact item. (we might sometimes get back an index for which the value is larger or smaller than the searched value). For looking for the exact insertion point, it seems that after we got the approximate location, we might need to "scan" to left or right for the exact insertion location, so that, say, in Ruby, we can do arr.insert(exact_index, value) I have the following solution, but the handling for the part when begin_index >= end_index is a bit messy. I wonder if a more elegant solution can be used? (this solution doesn't care to scan for multiple matches if an exact match is found, so the index returned for an exact match may point to any index that correspond to the value... but I think if they are all integers, we can always search for a - 1 after we know an exact match is found, to find the left boundary, or search for a + 1 for the right boundary.) My solution: DEBUGGING = true def binary_search_helper(arr, a, begin_index, end_index) middle_index = (begin_index + end_index) / 2 puts "a = #{a}, arr[middle_index] = #{arr[middle_index]}, " + "begin_index = #{begin_index}, end_index = #{end_index}, " + "middle_index = #{middle_index}" if DEBUGGING if arr[middle_index] == a return middle_index elsif begin_index >= end_index index = [begin_index, end_index].min return index if a < arr[index] && index >= 0 #careful because -1 means end of array index = [begin_index, end_index].max return index if a < arr[index] && index >= 0 return index + 1 elsif a > arr[middle_index] return binary_search_helper(arr, a, middle_index + 1, end_index) else return binary_search_helper(arr, a, begin_index, middle_index - 1) end end # for [1,3,5,7,9], searching for 6 will return index for 7 for insertion # if exact match is found, then return that index def binary_search(arr, a) puts "\nSearching for #{a} in #{arr}" if DEBUGGING return 0 if arr.empty? result = binary_search_helper(arr, a, 0, arr.length - 1) puts "the result is #{result}, the index for value #{arr[result].inspect}" if DEBUGGING return result end arr = [1,3,5,7,9] b = 6 arr.insert(binary_search(arr, b), b) p arr arr = [1,3,5,7,9,11] b = 6 arr.insert(binary_search(arr, b), b) p arr arr = [1,3,5,7,9] b = 60 arr.insert(binary_search(arr, b), b) p arr arr = [1,3,5,7,9,11] b = 60 arr.insert(binary_search(arr, b), b) p arr arr = [1,3,5,7,9] b = -60 arr.insert(binary_search(arr, b), b) p arr arr = [1,3,5,7,9,11] b = -60 arr.insert(binary_search(arr, b), b) p arr arr = [1] b = -60 arr.insert(binary_search(arr, b), b) p arr arr = [1] b = 60 arr.insert(binary_search(arr, b), b) p arr arr = [] b = 60 arr.insert(binary_search(arr, b), b) p arr and result: Searching for 6 in [1, 3, 5, 7, 9] a = 6, arr[middle_index] = 5, begin_index = 0, end_index = 4, middle_index = 2 a = 6, arr[middle_index] = 7, begin_index = 3, end_index = 4, middle_index = 3 a = 6, arr[middle_index] = 5, begin_index = 3, end_index = 2, middle_index = 2 the result is 3, the index for value 7 [1, 3, 5, 6, 7, 9] Searching for 6 in [1, 3, 5, 7, 9, 11] a = 6, arr[middle_index] = 5, begin_index = 0, end_index = 5, middle_index = 2 a = 6, arr[middle_index] = 9, begin_index = 3, end_index = 5, middle_index = 4 a = 6, arr[middle_index] = 7, begin_index = 3, end_index = 3, middle_index = 3 the result is 3, the index for value 7 [1, 3, 5, 6, 7, 9, 11] Searching for 60 in [1, 3, 5, 7, 9] a = 60, arr[middle_index] = 5, begin_index = 0, end_index = 4, middle_index = 2 a = 60, arr[middle_index] = 7, begin_index = 3, end_index = 4, middle_index = 3 a = 60, arr[middle_index] = 9, begin_index = 4, end_index = 4, middle_index = 4 the result is 5, the index for value nil [1, 3, 5, 7, 9, 60] Searching for 60 in [1, 3, 5, 7, 9, 11] a = 60, arr[middle_index] = 5, begin_index = 0, end_index = 5, middle_index = 2 a = 60, arr[middle_index] = 9, begin_index = 3, end_index = 5, middle_index = 4 a = 60, arr[middle_index] = 11, begin_index = 5, end_index = 5, middle_index = 5 the result is 6, the index for value nil [1, 3, 5, 7, 9, 11, 60] Searching for -60 in [1, 3, 5, 7, 9] a = -60, arr[middle_index] = 5, begin_index = 0, end_index = 4, middle_index = 2 a = -60, arr[middle_index] = 1, begin_index = 0, end_index = 1, middle_index = 0 a = -60, arr[middle_index] = 9, begin_index = 0, end_index = -1, middle_index = -1 the result is 0, the index for value 1 [-60, 1, 3, 5, 7, 9] Searching for -60 in [1, 3, 5, 7, 9, 11] a = -60, arr[middle_index] = 5, begin_index = 0, end_index = 5, middle_index = 2 a = -60, arr[middle_index] = 1, begin_index = 0, end_index = 1, middle_index = 0 a = -60, arr[middle_index] = 11, begin_index = 0, end_index = -1, middle_index = -1 the result is 0, the index for value 1 [-60, 1, 3, 5, 7, 9, 11] Searching for -60 in [1] a = -60, arr[middle_index] = 1, begin_index = 0, end_index = 0, middle_index = 0 the result is 0, the index for value 1 [-60, 1] Searching for 60 in [1] a = 60, arr[middle_index] = 1, begin_index = 0, end_index = 0, middle_index = 0 the result is 1, the index for value nil [1, 60] Searching for 60 in [] [60]

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  • .htaccess file size causes 500 Internal Server Error

    - by moobot
    As soon as my .htaccess goes over approx 8410 bytes, I get a 500 Internal Server Error. I don't think this is due to a bad redirect, as I have experimented with redirects in the .htaccess and then with just text that is commented out #. (no actual commands in the .htaccess file) Is there anything obvious that can cause this? Update: The site is on WordPress. Here are the redirects I was originally trying to add: RewriteEngine On ## 301 Redirects of old URLs to new # 301 Redirect 1 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^accesseries/underlay/prod_37\.html$ /product-category/accessories/underlays? [R=301,NE,NC,L] # 301 Redirect 2 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^accessories/acoustic-underlay/prod_29\.html$ /product/acoustic-underlay/? [R=301,NE,NC,L] # 301 Redirect 3 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^accessories/cat_4\.html$ /product-category/accessories/? [R=301,NE,NC,L] # 301 Redirect 4 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-bamboo-flooring/accessories/cat_8\.html$ /product-category/accessories/? [R=301,NE,NC,L] # 301 Redirect 5 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-bamboo-flooring/bamboo-floor/natural-strandwoven-bamboo-semi-gloss-wide-board-135mm-click/prod_151\.html$ /product/natural-strand-woven-bamboo-semi-gloss-wide-board-135mm-click/? [R=301,NE,NC,L] # 301 Redirect 6 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-bamboo-flooring/bamboo-floor/strandwoven-chocolate-135mm-bamboo-flooring/prod_174\.html$ /product/strand-woven-chocolate-135mm-bamboo-flooring/? [R=301,NE,NC,L] # 301 Redirect 7 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-bamboo-flooring/bamboo-floor/strand-woven-kempas-bamboo-flooring/prod_173\.html$ /product/strand-woven-kempas-bamboo-flooring/? [R=301,NE,NC,L] # 301 Redirect 8 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-bamboo-flooring/bamboo-floor/strandwoven-walnut-wired-135mm-bamboo-flooring/prod_176\.html$ /product/strand-woven-walnut-wired-135mm-bamboo-flooring/? [R=301,NE,NC,L] # 301 Redirect 9 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-bamboo-flooring/cat_7\.html$ /product-category/bamboo-floor/? [R=301,NE,NC,L] # 301 Redirect 10 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-bamboo-installation/info_8\.html$ /bamboo-installation/? [R=301,NE,NC,L] # 301 Redirect 11 RewriteCond %{QUERY_STRING} ^act=cart$ [NC] RewriteRule ^cart\.php$ /cart/? [R=301,NE,NC,L] # 301 Redirect 12 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^contact-us/info_2\.html$ /contact-us/? [R=301,NE,NC,L] # 301 Redirect 13 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^faqs/info_9\.html$ /faqs/? [R=301,NE,NC,L] # 301 Redirect 14 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-floating-timber-floor/black-butt-engineered-floating-timber/prod_213\.html$ /product/black-butt-engineered-floating-timber/? [R=301,NE,NC,L] # 301 Redirect 15 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-floating-timber-floor/doussie-engineered-floating-timber/prod_208\.html$ /product/doussie-engineered-floating-timber/? [R=301,NE,NC,L] # 301 Redirect 16 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-floating-timber-floor/smoked-oak-engineered-floating-timber/prod_217\.html$ /product/smoked-oak-engineered-floating-timber/? [R=301,NE,NC,L] # 301 Redirect 17 RewriteCond %{QUERY_STRING} ^act=thanks$ [NC] RewriteRule ^index\.php$ http://www.xxxxxxxxxx.com/? [R=301,NE,NC,L] # 301 Redirect 18 RewriteCond %{QUERY_STRING} ^act=viewCat&catId=13$ [NC] RewriteRule ^index\.php$ /product-category/samples/bamboo-flooring-samples/? [R=301,NE,NC,L] # 301 Redirect 19 RewriteCond %{QUERY_STRING} ^act=viewCat&catId=18$ [NC] RewriteRule ^index\.php$ /product/bamboo-plastic-composite/? [R=301,NE,NC,L] # 301 Redirect 20 RewriteCond %{QUERY_STRING} ^act=viewCat&catId=2$ [NC] RewriteRule ^index\.php$ /product-category/bamboo-floor/? [R=301,NE,NC,L] # 301 Redirect 21 RewriteCond %{QUERY_STRING} ^act=viewCat&catId=20$ [NC] RewriteRule ^index\.php$ /products/? [R=301,NE,NC,L] # 301 Redirect 22 RewriteCond %{QUERY_STRING} ^act=viewCat&catId=3$ [NC] RewriteRule ^index\.php$ /product-category/floating-timber-floor/? [R=301,NE,NC,L] # 301 Redirect 23 RewriteCond %{QUERY_STRING} ^act=viewCat&catId=5$ [NC] RewriteRule ^index\.php$ /product-category/laminate-flooring/? [R=301,NE,NC,L] # 301 Redirect 24 RewriteCond %{QUERY_STRING} ^act=viewCat&catId=6$ [NC] RewriteRule ^index\.php$ /product-category/accessories/? [R=301,NE,NC,L] # 301 Redirect 25 RewriteCond %{QUERY_STRING} ^act=viewCat&catId=saleItems$ [NC] RewriteRule ^index\.php$ /product-category/clearance-sale/? [R=301,NE,NC,L] # 301 Redirect 26 RewriteCond %{QUERY_STRING} ^act=viewDoc&docId=3$ [NC] RewriteRule ^index\.php$ /faqs/? [R=301,NE,NC,L] # 301 Redirect 27 RewriteCond %{QUERY_STRING} ^act=viewDoc&docId=4$ [NC] RewriteRule ^index\.php$ /faqs/? [R=301,NE,NC,L] # 301 Redirect 28 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=137$ [NC] RewriteRule ^index\.php$ /product/laminate-flooring-goustein-wood/? [R=301,NE,NC,L] # 301 Redirect 29 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=164$ [NC] RewriteRule ^index\.php$ /product/modern-black-brushed-finish-strand-woven-flooring/? [R=301,NE,NC,L] # 301 Redirect 30 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=165$ [NC] RewriteRule ^index\.php$ /product/lime-wash-strand-woven-bamboo-flooring/? [R=301,NE,NC,L] # 301 Redirect 31 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=168$ [NC] RewriteRule ^index\.php$ /product/country-bark/? [R=301,NE,NC,L] # 301 Redirect 32 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=173$ [NC] RewriteRule ^index\.php$ /product-category/bamboo-floor/14mm-bamboo-flooring/? [R=301,NE,NC,L] # 301 Redirect 33 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=178$ [NC] RewriteRule ^index\.php$ /product/blue-gum-136-floating-timber/? [R=301,NE,NC,L] # 301 Redirect 34 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=199$ [NC] RewriteRule ^index\.php$ /product/jarrah-laminate-floor-sample/? [R=301,NE,NC,L] # 301 Redirect 35 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=205$ [NC] RewriteRule ^index\.php$ /product/elm-12mm-laminate-floor-sample/? [R=301,NE,NC,L] # 301 Redirect 36 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=209$ [NC] RewriteRule ^index\.php$ /product/iroko-engineered-floating-timber/? [R=301,NE,NC,L] # 301 Redirect 37 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=222$ [NC] RewriteRule ^index\.php$ /product/european-oak-engineered-floating-timber-sample/? [R=301,NE,NC,L] # 301 Redirect 38 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=236$ [NC] RewriteRule ^index\.php$ /product/black-forest-5mm-vinyl-flooring/? [R=301,NE,NC,L] # 301 Redirect 39 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=65$ [NC] RewriteRule ^index\.php$ /product/stair-nose/? [R=301,NE,NC,L] # 301 Redirect 40 RewriteCond %{QUERY_STRING} ^act=viewProd&productId=83$ [NC] RewriteRule ^index\.php$ /product/laminate-flooring-warm-teak/? [R=301,NE,NC,L] # 301 Redirect 41 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-laminate-flooring/12mm-laminate-flooring/blackbutt/prod_156\.html$ /product/blackbutt-12mm-laminate-floor/? [R=301,NE,NC,L] # 301 Redirect 42 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-laminate-flooring/12mm-laminate-flooring/tasmanian-oak/prod_171\.html$ /product/tasmanian-oak/? [R=301,NE,NC,L] # 301 Redirect 43 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-laminate-flooring/8-3mm-laminate-flooring/laminate-flooring-warm-teak/prod_8\.html$ /product/laminate-flooring-warm-teak/? [R=301,NE,NC,L] # 301 Redirect 44 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-laminate-flooring/accessories/cat_6\.html$ /product-category/accessories/? [R=301,NE,NC,L] # 301 Redirect 45 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-laminate-flooring/cat_5\.html$ /product-category/laminate-flooring/? [R=301,NE,NC,L] # 301 Redirect 46 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-laminate-flooring/country-classic-12mm-laminate/cat_19\.html$ /product-category/laminate-flooring/12mm-country-classic-laminate-floor/? [R=301,NE,NC,L] # 301 Redirect 47 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-laminate-installation/info_7\.html$ /laminate-installation/? [R=301,NE,NC,L] # 301 Redirect 48 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^privacy-policy/info_4\.html$ /faqs/? [R=301,NE,NC,L] # 301 Redirect 49 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^-quotation-request/info_5\.html$ /quotation-request/? [R=301,NE,NC,L] # 301 Redirect 50 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^rainbow-flooring/cat_16\.html$ /product-category/rainbow-flooring/? [R=301,NE,NC,L] # 301 Redirect 51 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^rainbow-flooring/walnut-rainbow-flooring/prod_112\.html$ /product/walnut-rainbow-flooring/? [R=301,NE,NC,L] # 301 Redirect 52 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/12mm-laminate-floor-samples/kempas-laminate-floor-sample/prod_195\.html$ /product/kempas-laminate-floor-sample/? [R=301,NE,NC,L] # 301 Redirect 53 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/12mm-laminate-floor-samples/spotted-gum-laminate-floor-sample/prod_196\.html$ /product/spotted-gum-laminate-floor-sample/? [R=301,NE,NC,L] # 301 Redirect 54 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/12mm-laminate-floor-samples/tasmanian-oak-laminate-floor-sample/prod_197\.html$ /product/tasmanian-oak-laminate-floor-sample/? [R=301,NE,NC,L] # 301 Redirect 55 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/bamboo-flooring-samples/cat_13\.html$ /product-category/samples/bamboo-flooring-samples/? [R=301,NE,NC,L] # 301 Redirect 56 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/bamboo-flooring-samples/rosewood-strandwoven-bamboo-floor-135mm-click-sample/prod_191\.html$ /product/rosewood-strand-woven-bamboo-floor-135mm-click-sample/? [R=301,NE,NC,L] # 301 Redirect 57 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/cat_9\.html$ /samples/? [R=301,NE,NC,L] # 301 Redirect 58 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/floating-timber-floor-samples/iroko-engineered-floating-timber-floor-sample/prod_223\.html$ /product/iroko-engineered-floating-timber-floor-sample/? [R=301,NE,NC,L] # 301 Redirect 59 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/floating-timber-floor-samples/jarrah-engineered-floating-timber-sample/prod_224\.html$ /product/jarrah-engineered-floating-timber-sample/? [R=301,NE,NC,L] # 301 Redirect 60 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/floating-timber-floor-samples/merbau-engineered-floating-timber-sample/prod_226\.html$ /product/merbau-engineered-floating-timber-sample/? [R=301,NE,NC,L] # 301 Redirect 61 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/floating-timber-floor-samples/spotted-gum-engineered-floating-timber-sample/prod_228\.html$ /product/spotted-gum-engineered-floating-timber-sample/? [R=301,NE,NC,L] # 301 Redirect 62 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^samples/floating-timber-floor-samples/sydney-blue-gum-engineered-floating-timber-sample/prod_220\.html$ /product/sydney-blue-gum-engineered-floating-timber-sample/? [R=301,NE,NC,L] # 301 Redirect 63 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^shop\.php/-laminate-flooring/accessories/laminate-flooring-accessories-click-stairnose/prod_251\.html$ /product/stair-nose/? [R=301,NE,NC,L] # 301 Redirect 64 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^shop\.php/-laminate-flooring/country-classic-12mm-laminate/country-classic-polar-white/prod_243\.html$ /product/country-classic-polar-white/? [R=301,NE,NC,L] # 301 Redirect 65 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^shop\.php/samples/12mm-laminate-floor-samples/country-classic-polar-white/prod_244\.html$ /product/country-classic-polar-white-sample/? [R=301,NE,NC,L] # 301 Redirect 66 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^shop\.php/samples/12mm-laminate-floor-samples/rustic-oak-12mm-laminate-floor/prod_248\.html$ /product/rustic-oak-12mm-laminate-floor-sample/? [R=301,NE,NC,L] # 301 Redirect 67 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^shop\.php/samples/vinyl-flooring-samples/cat_25\.html$ /product-category/samples/vinyl-flooring-samples/? [R=301,NE,NC,L] # 301 Redirect 68 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^shop\.php/vinyl-flooring/cat_24\.html$ /product-category/vinyl-floor/? [R=301,NE,NC,L] # 301 Redirect 69 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^solardeck-tiles/cat_22\.html$ /product-category/solardeck-tiles/? [R=301,NE,NC,L] # 301 Redirect 70 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^solardeck-tiles/solardeck-tiles/prod_206\.html$ /product/solardeck-tiles/? [R=301,NE,NC,L] # 301 Redirect 71 RewriteCond %{QUERY_STRING} ^$ RewriteRule ^terms-conditions/info_3\.html$ /faqs/? [R=301,NE,NC,L] I'm getting errors like this in my log: Invalid command 'aminate-flooring/tasmanian-oak/prod_171\\.html$', perhaps misspelled or defined by a module not included in the server configuration, referer: http://www.xxxxxxxx.com/laminate-installation/ Invalid command ',NE,NC,L]', perhaps misspelled or defined by a module not included in the server configuration Invalid command ',L]#', perhaps misspelled or defined by a module not included in the server configuration

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  • quick look at: dm_db_index_physical_stats

    - by fatherjack
    A quick look at the key data from this dmv that can help a DBA keep databases performing well and systems online as the users need them. When the dynamic management views relating to index statistics became available in SQL Server 2005 there was much hype about how they can help a DBA keep their servers running in better health than ever before. This particular view gives an insight into the physical health of the indexes present in a database. Whether they are use or unused, complete or missing some columns is irrelevant, this is simply the physical stats of all indexes; disabled indexes are ignored however. In it’s simplest form this dmv can be executed as:   The results from executing this contain a record for every index in every database but some of the columns will be NULL. The first parameter is there so that you can specify which database you want to gather index details on, rather than scan every database. Simply specifying DB_ID() in place of the first NULL achieves this. In order to avoid the NULLS, or more accurately, in order to choose when to have the NULLS you need to specify a value for the last parameter. It takes one of 4 values – DEFAULT, ‘SAMPLED’, ‘LIMITED’ or ‘DETAILED’. If you execute the dmv with each of these values you can see some interesting details in the times taken to complete each step. DECLARE @Start DATETIME DECLARE @First DATETIME DECLARE @Second DATETIME DECLARE @Third DATETIME DECLARE @Finish DATETIME SET @Start = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, DEFAULT) AS ddips SET @First = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, 'SAMPLED') AS ddips SET @Second = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, 'LIMITED') AS ddips SET @Third = GETDATE() SELECT * FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, 'DETAILED') AS ddips SET @Finish = GETDATE() SELECT DATEDIFF(ms, @Start, @First) AS [DEFAULT] , DATEDIFF(ms, @First, @Second) AS [SAMPLED] , DATEDIFF(ms, @Second, @Third) AS [LIMITED] , DATEDIFF(ms, @Third, @Finish) AS [DETAILED] Running this code will give you 4 result sets; DEFAULT will have 12 columns full of data and then NULLS in the remainder. SAMPLED will have 21 columns full of data. LIMITED will have 12 columns of data and the NULLS in the remainder. DETAILED will have 21 columns full of data. So, from this we can deduce that the DEFAULT value (the same one that is also applied when you query the view using a NULL parameter) is the same as using LIMITED. Viewing the final result set has some details that are worth noting: Running queries against this view takes significantly longer when using the SAMPLED and DETAILED values in the last parameter. The duration of the query is directly related to the size of the database you are working in so be careful running this on big databases unless you have tried it on a test server first. Let’s look at the data we get back with the DEFAULT value first of all and then progress to the extra information later. We know that the first parameter that we supply has to be a database id and for the purposes of this blog we will be providing that value with the DB_ID function. We could just as easily put a fixed value in there or a function such as DB_ID (‘AnyDatabaseName’). The first columns we get back are database_id and object_id. These are pretty explanatory and we can wrap those in some code to make things a little easier to read: SELECT DB_NAME([ddips].[database_id]) AS [DatabaseName] , OBJECT_NAME([ddips].[object_id]) AS [TableName] … FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, NULL) AS ddips  gives us   SELECT DB_NAME([ddips].[database_id]) AS [DatabaseName] , OBJECT_NAME([ddips].[object_id]) AS [TableName], [i].[name] AS [IndexName] , ….. FROM [sys].[dm_db_index_physical_stats](DB_ID(), NULL, NULL, NULL, NULL) AS ddips INNER JOIN [sys].[indexes] AS i ON [ddips].[index_id] = [i].[index_id] AND [ddips].[object_id] = [i].[object_id]     These handily tie in with the next parameters in the query on the dmv. If you specify an object_id and an index_id in these then you get results limited to either the table or the specific index. Once again we can place a  function in here to make it easier to work with a specific table. eg. SELECT * FROM [sys].[dm_db_index_physical_stats] (DB_ID(), OBJECT_ID(‘AdventureWorks2008.Person.Address’) , 1, NULL, NULL) AS ddips   Note: Despite me showing that functions can be placed directly in the parameters for this dmv, best practice recommends that functions are not used directly in the function as it is possible that they will fail to return a valid object ID. To be certain of not passing invalid values to this function, and therefore setting an automated process off on the wrong path, declare variables for the OBJECT_IDs and once they have been validated, use them in the function: DECLARE @db_id SMALLINT; DECLARE @object_id INT; SET @db_id = DB_ID(N’AdventureWorks_2008′); SET @object_id = OBJECT_ID(N’AdventureWorks_2008.Person.Address’); IF @db_id IS NULL BEGINPRINT N’Invalid database’; ENDELSE IF @object_id IS NULL BEGINPRINT N’Invalid object’; ENDELSE BEGINSELECT * FROM sys.dm_db_index_physical_stats (@db_id, @object_id, NULL, NULL , ‘LIMITED’); END; GO In cases where the results of querying this dmv don’t have any effect on other processes (i.e. simply viewing the results in the SSMS results area)  then it will be noticed when the results are not consistent with the expected results and in the case of this blog this is the method I have used. So, now we can relate the values in these columns to something that we recognise in the database lets see what those other values in the dmv are all about. The next columns are: We’ll skip partition_number, index_type_desc, alloc_unit_type_desc, index_depth and index_level  as this is a quick look at the dmv and they are pretty self explanatory. The final columns revealed by querying this view in the DEFAULT mode are avg_fragmentation_in_percent. This is the amount that the index is logically fragmented. It will show NULL when the dmv is queried in SAMPLED mode. fragment_count. The number of pieces that the index is broken into. It will show NULL when the dmv is queried in SAMPLED mode. avg_fragment_size_in_pages. The average size, in pages, of a single fragment in the leaf level of the IN_ROW_DATA allocation unit. It will show NULL when the dmv is queried in SAMPLED mode. page_count. Total number of index or data pages in use. OK, so what does this give us? Well, there is an obvious correlation between fragment_count, page_count and avg_fragment_size-in_pages. We see that an index that takes up 27 pages and is in 3 fragments has an average fragment size of 9 pages (27/3=9). This means that for this index there are 3 separate places on the hard disk that SQL Server needs to locate and access to gather the data when it is requested by a DML query. If this index was bigger than 72KB then having it’s data in 3 pieces might not be too big an issue as each piece would have a significant piece of data to read and the speed of access would not be too poor. If the number of fragments increases then obviously the amount of data in each piece decreases and that means the amount of work for the disks to do in order to retrieve the data to satisfy the query increases and this would start to decrease performance. This information can be useful to keep in mind when considering the value in the avg_fragmentation_in_percent column. This is arrived at by an internal algorithm that gives a value to the logical fragmentation of the index taking into account the multiple files, type of allocation unit and the previously mentioned characteristics if index size (page_count) and fragment_count. Seeing an index with a high avg_fragmentation_in_percent value will be a call to action for a DBA that is investigating performance issues. It is possible that tables will have indexes that suffer from rapid increases in fragmentation as part of normal daily business and that regular defragmentation work will be needed to keep it in good order. In other cases indexes will rarely become fragmented and therefore not need rebuilding from one end of the year to another. Keeping this in mind DBAs need to use an ‘intelligent’ process that assesses key characteristics of an index and decides on the best, if any, defragmentation method to apply should be used. There is a simple example of this in the sample code found in the Books OnLine content for this dmv, in example D. There are also a couple of very popular solutions created by SQL Server MVPs Michelle Ufford and Ola Hallengren which I would wholly recommend that you review for much further detail on how to care for your SQL Server indexes. Right, let’s get back on track then. Querying the dmv with the fifth parameter value as ‘DETAILED’ takes longer because it goes through the index and refreshes all data from every level of the index. As this blog is only a quick look a we are going to skate right past ghost_record_count and version_ghost_record_count and discuss avg_page_space_used_in_percent, record_count, min_record_size_in_bytes, max_record_size_in_bytes and avg_record_size_in_bytes. We can see from the details below that there is a correlation between the columns marked. Column 1 (Page_Count) is the number of 8KB pages used by the index, column 2 is how full each page is (how much of the 8KB has actual data written on it), column 3 is how many records are recorded in the index and column 4 is the average size of each record. This approximates to: ((Col1*8) * 1024*(Col2/100))/Col3 = Col4*. avg_page_space_used_in_percent is an important column to review as this indicates how much of the disk that has been given over to the storage of the index actually has data on it. This value is affected by the value given for the FILL_FACTOR parameter when creating an index. avg_record_size_in_bytes is important as you can use it to get an idea of how many records are in each page and therefore in each fragment, thus reinforcing how important it is to keep fragmentation under control. min_record_size_in_bytes and max_record_size_in_bytes are exactly as their names set them out to be. A detail of the smallest and largest records in the index. Purely offered as a guide to the DBA to better understand the storage practices taking place. So, keeping an eye on avg_fragmentation_in_percent will ensure that your indexes are helping data access processes take place as efficiently as possible. Where fragmentation recurs frequently then potentially the DBA should consider; the fill_factor of the index in order to leave space at the leaf level so that new records can be inserted without causing fragmentation so rapidly. the columns used in the index should be analysed to avoid new records needing to be inserted in the middle of the index but rather always be added to the end. * – it’s approximate as there are many factors associated with things like the type of data and other database settings that affect this slightly.  Another great resource for working with SQL Server DMVs is Performance Tuning with SQL Server Dynamic Management Views by Louis Davidson and Tim Ford – a free ebook or paperback from Simple Talk. Disclaimer – Jonathan is a Friend of Red Gate and as such, whenever they are discussed, will have a generally positive disposition towards Red Gate tools. Other tools are often available and you should always try others before you come back and buy the Red Gate ones. All code in this blog is provided “as is” and no guarantee, warranty or accuracy is applicable or inferred, run the code on a test server and be sure to understand it before you run it on a server that means a lot to you or your manager.

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  • Tokyo Tyrant indexes

    - by viraptor
    I was wondering about size requirements for Tokyo Tyrant indexes. If I have an index on field x and insert a record with fields y and z only, does the x index grow? Also: does the insert time grow in that case?

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  • Exception when indexing text documents with Lucene, using SnowballAnalyzer for cleaning up

    - by Julia
    Hello!!! I am indexing the documents with Lucene and am trying to apply the SnowballAnalyzer for punctuation and stopword removal from text .. I keep getting the following error :( IllegalAccessError: tried to access method org.apache.lucene.analysis.Tokenizer.(Ljava/io/Reader;)V from class org.apache.lucene.analysis.snowball.SnowballAnalyzer Here is the code, I would very much appreciate help!!!! I am new with this.. public class Indexer { private Indexer(){}; private String[] stopWords = {....}; private String indexName; private IndexWriter iWriter; private static String FILES_TO_INDEX = "/Users/ssi/forindexing"; public static void main(String[] args) throws Exception { Indexer m = new Indexer(); m.index("./newindex"); } public void index(String indexName) throws Exception { this.indexName = indexName; final File docDir = new File(FILES_TO_INDEX); if(!docDir.exists() || !docDir.canRead()){ System.err.println("Something wrong... " + docDir.getPath()); System.exit(1); } Date start = new Date(); PerFieldAnalyzerWrapper analyzers = new PerFieldAnalyzerWrapper(new SimpleAnalyzer()); analyzers.addAnalyzer("text", new SnowballAnalyzer("English", stopWords)); Directory directory = FSDirectory.open(new File(this.indexName)); IndexWriter.MaxFieldLength maxLength = IndexWriter.MaxFieldLength.UNLIMITED; iWriter = new IndexWriter(directory, analyzers, true, maxLength); System.out.println("Indexing to dir..........." + indexName); if(docDir.isDirectory()){ File[] files = docDir.listFiles(); if(files != null){ for (int i = 0; i < files.length; i++) { try { indexDocument(files[i]); }catch (FileNotFoundException fnfe){ fnfe.printStackTrace(); } } } } System.out.println("Optimizing...... "); iWriter.optimize(); iWriter.close(); Date end = new Date(); System.out.println("Time to index was" + (end.getTime()-start.getTime()) + "miliseconds"); } private void indexDocument(File someDoc) throws IOException { Document doc = new Document(); Field name = new Field("name", someDoc.getName(), Field.Store.YES, Field.Index.ANALYZED); Field text = new Field("text", new FileReader(someDoc), Field.TermVector.WITH_POSITIONS_OFFSETS); doc.add(name); doc.add(text); iWriter.addDocument(doc); } }

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  • More localized, efficient Lowest Common Ancestor algorithm given multiple binary trees?

    - by mstksg
    I have multiple binary trees stored as an array. In each slot is either nil (or null; pick your language) or a fixed tuple storing two numbers: the indices of the two "children". No node will have only one child -- it's either none or two. Think of each slot as a binary node that only stores pointers to its children, and no inherent value. Take this system of binary trees: 0 1 / \ / \ 2 3 4 5 / \ / \ 6 7 8 9 / \ 10 11 The associated array would be: 0 1 2 3 4 5 6 7 8 9 10 11 [ [2,3] , [4,5] , [6,7] , nil , nil , [8,9] , nil , [10,11] , nil , nil , nil , nil ] I've already written simple functions to find direct parents of nodes (simply by searching from the front until there is a node that contains the child) Furthermore, let us say that at relevant times, both all trees are anywhere between a few to a few thousand levels deep. I'd like to find a function P(m,n) to find the lowest common ancestor of m and n -- to put more formally, the LCA is defined as the "lowest", or deepest node in which have m and n as descendants (children, or children of children, etc.). If there is none, a nil would be a valid return. Some examples, given our given tree: P( 6,11) # => 2 P( 3,10) # => 0 P( 8, 6) # => nil P( 2,11) # => 2 The main method I've been able to find is one that uses an Euler trace, which turns the given tree, with a node A to be the invisible parent of 0 and 1 with a depth of -1, into: A-0-2-6-2-7-10-7-11-7-2-0-3-0-A-1-4-1-5-8-5-9-5-1-A And from that, simply find the node between your given m and n that has the lowest number; For example, to find P(6,11), look for a 6 and an 11 on the trace. The number between them that is the lowest is 2, and that's your answer. If A is in between them, return nil. -- Calculating P(6,11) -- A-0-2-6-2-7-10-7-11-7-2-0-3-0-A-1-4-1-5-8-5-9-5-1-A ^ ^ ^ | | | m lowest n Unfortunately, I do believe that finding the Euler trace of a tree that can be several thousands of levels deep is a bit machine-taxing...and because my tree is constantly being changed throughout the course of the programming, every time I wanted to find the LCA, I'd have to re-calculate the Euler trace and hold it in memory every time. Is there a more memory efficient way, given the framework I'm using? One that maybe iterates upwards? One way I could think of would be the "count" the generation/depth of both nodes, and climb the lowest node until it matched the depth of the highest, and increment both until they find someone similar. But that'd involve climbing up from level, say, 3025, back to 0, twice, to count the generation, and using a terribly inefficient climbing-up algorithm in the first place, and then re-climbing back up. Are there any other better ways?

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