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  • Poor disk performance with high disk capacity usage

    - by GoldenNewby
    I've heard numerous times in the web hosting industry that using "too much" disk space on a drive is bad for performance. Is this just a myth? Can someone explain why this is an issue, even in a situation where the amount of IO done to the drive would be the same at 10% as it would be at 90%? I'm especially curious in the case of virtual servers. If I set up 10 Logical volumes as the virtual disks for some VMs, is it going to run better if I "waste" 20% of the disk space?

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  • Limiting memory usage and mimimizing swap thrashing on Unix / Linux

    - by camelccc
    I have a few machines that I machine that I use for running large numbers of jobs where I try to limit the number of jobs so as not to exceed the available RAM of the machine. Occasionally I mis-estimate how much memory some of the jobs will take, and the machine starts thrashing the swap file. I resolve this by sending the kill -s STOP to one of the jobs so that it can get swapped out. Does anyone know of a utility that will monitor a server for processes by a specific name, and then pause the one with the smallest memory footprint is the total memory consumption reaches a desired threshold so that the larger ones can run and complete with a minimum of swap file thrashing? Paused processes then need to be resumed once some existing processes have completed.

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  • How to disable wifi usage on Windows 7

    - by Eric
    On a laptop, we currently use LAN(RJ45) connection to access internet. But from time to time, on startup, the laptop "catch" an unsecured wifi hotspot from one of my neighbors, so we would like windows 7 to NOT choose any wifi network : how this can be done ?

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  • Mysql process goes over 100% of CPU usage

    - by Temnovit
    Hello! I'm experiencing some problems with my LAMP server. Recently, everything became very slow, even though visitor count on my websites didn't change to much. When I run top command, it sais that mysql process has taken over 150-200% of CPU. How's that possible, I always thought that 100% is a maximum? I'm running Ubuntu 9.04 server edition with 1,5 GB RAM my.cnf settings: key_buffer = 64M max_allowed_packet = 16M thread_stack = 192K thread_cache_size = 8 myisam-recover = BACKUP max_connections = 200 table_cache = 512 table_definition_cache = 512 thread_concurrency = 2 read_buffer_size = 1M sort_buffer_size = 4M join_buffer_size = 1M query_cache_limit = 1M # the maximum size of individual query results query_cache_size = 128M Here is the output of MySQLTuner: The top command: What could be the cause of this problem? Can I make changes to my my.cnf to prevent server from hanging?

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  • buagent process has been consuming 100% cpu for two days

    - by Maysam
    The buagent process has been using 100% of cpu since two days ago. I want to terminate this process but I don't know if it's something dangerous or not (I am not much advanced in working with linux, indeed I am very beginner). The only thing that I know is that this process is probably restoring some files. But I think it is not normal for that to take more than two days. Now, do you think it would be OK if I kill this process? What command could I use to do that? I appreciate any help :) p.s. We are hosting a few web sites there. This server is also our Name Server and Mail Server as well. A couple of months a go we had a problem with the server which made us to take a full-backup of all files and then reinstall linux. Yesterday, I selected one of the directories on the backup server and restored that directory to a tmp directory on our linux server. After that, I couldn't restore any other directory because every time I want to do that, it says that there is another restore job running and I have to wait for that. When I use the "top" command I can see that the buagent process is consuming 100% of cpu. So I guess that is the problem. I don't know why it has been taking too long to execute.

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  • IIS6 - Classic ASP - "out of memory"/"out of string space"

    - by glaucon
    We have a classic ASP application that's under significantly more load than usual. We are from time to time been getting "out of memory" and "out of string space" in the httperr. We do not usually see these errors. For the moment we cannot change the application. Is there anything we can do to the IIS config which will help to reduce or stop these errors occurring ? The application pool is set to default values currently.

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  • How much Ram should I need on my VPS package? Am I being ripped off?

    - by Tamerax
    Hello! So, I'm currently on a VPSVille Cpanel3 account that has 768 MB guaranteed ram and 2048 MB burst ram (full details here: http://www.vpsville.ca/cpanel-vps). It's running CentOS, Cpanel, Apache and FastCGI. On the server itself I have a joomla community site with a forum system that generally has about 20 people on it max at any point and even then, during the evening, no one. It's a pretty small site but has a number of modules running on it. It gets about 6000 visits a month. Also on the server is a wordpress site that gets about 80-150 visits a day, 2 other wordpress sites that aren't developed yet so they don't get any traffic at all and 2 static html websites that also only get about 500 hits a month. All in all, no huge sites. The issue is that I get "out of memory" errors fairly frequently and it kills my server and I need to reboot it in order to get all my sites up and running again. It seems to me that I shouldn't have these issues with that much ram allotted to my account and everytime I send in a support ticket, they just tell me to upgrade the ram. Now, I'm still pretty new to all this so I'm not a good judge of how much I really need for my sites to run. I don't know if my sites really do need this much OR vpsville has oversold there servers, they don't actually have those resources available and I'm getting ripped off. So, how much ram should I be using with my current setup? Thanks!

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  • What should I do about OEM05Mon.exe "Creative Live! Cam Console Auto Launcher".

    - by blackace
    OEM05Mon.exe "Creative Live! Cam Console Auto Launcher" is related perhaps to my 22inch Dell monitor). Has anyone got experience with this ? Do I need to have this running ? This application has a large footprint for what it does (well most of the time does nothing). I am tempted to just take it off the start up but wanted to double check... p.s: I am sure its the original application and not a virus or trojan faking to be it...

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  • Correct usage of Windows Server on network?

    - by Hobart Bosworth
    I have two routers, one with dhcp turned on and the other with it off. this is a functioning home network. Now, I am trying to integrate into it a windows server. Should the windows server be doing the dhcp and dns work? And if so, what will this mean for the existing network? Will I need to reconfigure this? I am currently installing server 2003 onto my server machine. It is connected up to the network on the main router with dhcp. Any words of advice?

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  • please take a look at my server's ram usage

    - by user66779
    Hi, i am a noob with servers. I have a centos5.5 vps with 512mb ram. My goal is to have it host just one magento store. I've installed Magento on the server without any control panel, by just installing lamp myself and whatever php extensions were necessary to get Magento to install. As soon as i visit my magento store, suddenly the ram on the vps is almost completely used, with only about 100mb left. Please see this screenshot of htop taken after just myself visited the website. http://img714.imageshack.us/img714/1944/screenouv.png As you can see there's only around 100mb left. Is that normal? I'm wondering if i might have done something stupid with the server that makes it very resource hungry. I installed apache from the centos base repo, php version 5.3 from the ius repository and mysql 5.1 also from ius repo. I haven't changed any of the default config files for any of these except to make memory_minimum 256 in php.ini. Is there anything i can do to make more ram free? I'm clueless but i see each Apache daemon is using 8% of available ram, and AFAIK each visitor needs one Apache daemon. So i would run out of ram with just a handful of visitors. Thanks for your advice.

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  • Mystery process crashing machine by using all of the RAM - how to identify?

    - by wd40
    I have a Linux machine which runs ~10 in house written processes. Every other day(!) the machine completely runs out of RAM, goes into swap and becomes unresponsive. This happens quickly over a period of a couple of seconds, so it's not feasible to sit watching the machine until it dies. It's a sudden leak, not a gradual one, so top(1) doesn't give any indications something bad may about to happen. What is the best way of identifying which process(es) are causing the trouble?

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  • Shell script for daily disk usage report

    - by Master
    I am doing backups on my local drives. The drives are mounted in /media folder. Now i want to run cron job daily which will tell in table format how much disk is used by folder and how much free space is left on drive It would be good if i can insert that info in database and i can see that info use webpage on locahost ubuntu 10

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  • Understanding RAM usage on Linux

    - by stebbo
    I'm completely new to Linux and I'm just trying to understand where all my RAM is going. I've got a pretty fresh install of Xubuntu running as a VMWare guest, and I've given it 1.5GB RAM to play with. After only running two apps starting up Tomcat servers and also running Firefox, I've got hardly anything left. 160MB according to free -m. Looking at the output from Top, I see Java appearing twice, each stealing about 1/2 Gig resident memory. Both Tomcat instances use the same jdk, I would have thought I'd only see Java there once. What's the story? I had a screenshot but unfortunately couldn't post it being under 10 rep. Update The free -m output requested: total used free shared buffers cached Mem: 1419 1380 39 0 8 111 -/+ buffers/cache: 1259 160 Swap: 509 68 441 Top (coming)

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  • Windows 8 Task Manager RAM Usage Accuracy

    - by user264892
    The new Task Manager has a great UI in windows 8, however, there are some discrepancies in the data I can not account for: Machine: 8 GB of total ram. (This is a physical machine, not a virtual) The processes tab shows 45% of Memory utilized. The listed process do not add up to 3.5 GB of RAM, but instead add up to 0.948 GB. There is no "processes for all users" option. The performance Tab Shows: In use : 3.6 GB Available: 4.4 GB Committed : 4.1 /9.2 GB Cached: 3.7 GB Paged Pool: 376 MB Non-paged pool: 135 MB My reading of this says I have ALOT of "cloaked" processes running some where eating my ram. How do I interpret this data and how do I verify it?

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  • How can a Perfmon "% Processor Time" counter be over 100%?

    - by Bill Paetzke
    The counter, Process: % Processor Time (sqlservr), is hovering around 300% on one of my database servers. This counter reflects the percent of total time SQL Server spent running on CPU (user mode + privilege mode). The book, Sql Server 2008 Internals and Troubleshooting, says that anything greater than 80% is a problem. How is it possible for that counter to be over 100%?

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  • Can a SQL Server have a CPU bottleneck when Processor Time is under 30%

    - by Sleepless
    Is it in principle possible for the CPU to be the bottleneck on a SQL Server if the Performance Counter Processor:Processor Time is constantly under 30% on all cores? Or does low Processor Time automatically allow me to rule out the CPU as a potential trouble source? I am asking this because SQL Nexus lists CPU as the top bottleneck on a server with low Processor Time values.

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  • 100% CPU use when new usb device plugged in - services.exe / Windows Server 2003

    - by Will3265
    On my server I am trying to install a new usb drive but all that happens is that the system starts using huge amounts of processor cycles with services.exe. On closer inspection with process explorer there is a thread called umpnpmgr.dll using most of the services.exe processor time. I left it for a half hour and still nothing happened. Rebooted and tried again, same result. Tried a different usb drive, then a flash drive but still same issue. Tried updating driver but it said the update function was already in action. I have used process explorer to kill the thread now so the server can still perform its intended functions. Any device that was previously installed before this began happening will still work but any device new to the system will not. My question(s) is/are: Is there a way to manually install the device into the registry so Windows thinks it is a previously installed device? Or can this problem be repaired through anything other than a reinstall? To do a reinstall would mean backing up large amounts of data which is hard with a usb drive and insufficient space on all other network machines. Any help would be greatly appreciated. William

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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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  • div "top" bug IE and everything else. Big problem

    - by Victor
    Hi everyone. I am new in CSS so please help me in this problem. I hope to describe it wright. I am making div named content where my site content is. I made it with z-index:-1; so an image to be over this div. But in Chrome, FF and safari, content became inactive. I cant select text , click on link and write in the forms. So I tried with positive states in the z-index but IE don't know what this means. Damn. So I decided to make conditional div. Here is the code: .content { background:#FFF; width:990px; position:relative; float:left; top:50px; } .content_IE { background:#FFF; width:990px; position:relative; float:left; top: 50px; z-index:-1; } and here is the HTML: <!--[if IE 7]> <div class="content_IE" style="height:750px;"> <![endif]--> <div class="content" style="height:550px;"> Everything is fine with the z-index but the problem is that if there is no top in .content class everything looks fine in IE but there is no space in the other browsers. If i put back the top:50px; there onother 50px like padding in the .content_IE class. I mean that the page looks like I've put top:50px; and padding-top=50px;. I've try everything like margin-top:-50px; padding-top:-50px; and stuff like this but I am still in the circle. It look fine only if there is no top option in .content class. Please help.

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  • Boost multi_index ordered_unique Median Value

    - by Autopulated
    I would like to quickly retrieve the median value from a boost multi_index container with an ordered_unique index, however the index iterators aren't random access (I don't understand why they can't be, though this is consistent with std::set...). Is there a faster/neater way to do this other than incrementing an iterator container.size() / 2 times?

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