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• Apache mpm-itk Performance

  - by Matt Beckman

  I manage a bunch of VPSs with memory ranging from 1GB to 8GB. Most of these websites are Joomla websites, and the servers must support multiple sites/users/S-FTP. I use mpm-itk almost exclusively (mostly due to it's convenience in these shared environments). However, I'm aware it isn't known for performance, so I need some advice on making it faster. Due to the lack of documentation when I first went the way of mpm-itk, I included only one setting in the config, and that was to limit each user to 50 clients (the rest I left up to defaults): <IfModule mpm_itk_module> MaxClientsVHost 50 </IfModule> Are there any better alternatives available? Are there any settings supported in mpm-prefork or mpm-worker that are also supported in mpm-itk? Thanks!

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• Increase performance of Samsung 830 256GB SSD

  - by Robert Koritnik

  I have a Samsung 830 SSD in my notebook connected to a SATA interface. This is a rather old HP notebook nc8430 which means SATA is SATA I and not II or even III that disk supports. But SATA I still supports speeds up to 150MB/s so I expected at least double values as per image below. CrystalDiskMark shows rather slow performance: I've been using this SSD for over a year now and I would like to know what to do to make it blazingly fast as other reports say it should be? Edit As suggested I'm adding AS SSD screenshot of the test. And Samsung Magician's benchmark which is likely biased...

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• How exactly is Google Webmaster Tools measuring "Site Performance"?

  - by Rémi

  I've been working for two months now on improving our response time (mainly server side) on a new forum (a brand new product on a technical point of view) we've launched in Germany a few month ago and I'm a lot surprised by the results I get. I monitor our response time using Apache logs and our own implementation of Boomerang beacon. Using my stats, I can see that our new product responds in about 680 ms where our old product was responding in about 1050 ms. On the other side, Google Webmaster Tool tells us that our pages have an average reponse time of about 1500 ms today where it was 700 three months ago with our old product. I've figured that GWT was taking client side metrics into account so I've added some measures on our Boomerang beacon and everything looks just fine. I've also ran some random pages on ySlow and Google's Page Speed and everything looks better than it was before. We event have a 82% on Google's Page Speed tool which is quite cool for a site with some ads in it :) Lately, we have signed a deal with Akamai to use two of their products : CDN for our static files (we were using another CDN before but it wasn't very effective) and RMA to improve Networks routes. We have also introduced a new agressive cache mecanism to ensure that most of the pages served to crawlers are cached by our memcache grid. After checking my metrics, it seems that this changes have improved from 650ms to about 500ms, which is good (still not great but it is definitly an improvement). But webmaster tools continues to report an increasing average response time where we see it decreasing in the same time. Have you ever had the same kind of wierd behavior on your sites while doing performance improvements ? Do you have any idea how to monitor the same thing Google does with Site Performance in Google Webmaster Tools so that we could improve our site and constantly check if it is what Google wants ? Edit 2011/07/26 : Thanks for your answers guys ! Nevertheless, I was not precise enough. The main issue we have is not with the Site Performance page but with the Crawl Stats one for now. We probably found an issue on our side with some very slow pages (around 3000 ms !!) and we are trying to fix them. I'll keep you posted as soon I'll have some infos. Thanks again !

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• Firefox 3.6 performance increase tricks.......

  - by metal gear solid

  I use many Add-ons which helps me in Web development so i can't uninstall those addons. and usually I keep open lots of tabs in Firefox. And almost always keep Firefox on on my system. I use default profile only I always keep every addons and firefox itself updated. I found some addons to reduce memory use on Firefox addons site , but user reviews were not good for them still Is there any tested tricks to increase performance and reduce memory use of Firefox 3.6, which really works?

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• What are performance limits of a database?

  - by Tommy

  What are some rough performance limits (read/s, write/s) for a single database server (no master-slave architecture), assuming storage on disk? How many read/s, write/s, depending on the kind of disk? (SSD vs non-SSD) , assuming simple operations (select one row by primary key, update one row, correctly indexed). I assume this limit is dependent on disk seek/write. EDIT: My question is more about getting rough metrics of the number of operations a database supports: to be able to know for example, if a new feature triggering 300 inserts/s can be supported without scaling out with additional servers.

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• RHEL raw device (over VMware RDM) performance issues

  - by jifa

  I'm running RHEL 5.3 over vSphere 4.0U1. I configured multiple LUNs on my NetApp (Fibre) storage, and added the RDM on two (Linux) VMs, using the Paravirtual SCSI adapter. One LUN is 100GB in size, successfully mapped to /dev/sdb on both VMs, 5 more are 500MB in size (mapped to /dev/sd{c-g}. I also created one partition per device. I have encountered two issues: First, writing directly to /dev/sdb1 gives me ~50MB/s, while any of the /dev/sd{c-g}1 gives me ~9MB/s. There is no difference in configuration of the LUNs apart from their size. I am wondering what causes this but this is not my main problem, as I would settle for 9 MB/s. I created raw devices using udev pretty straightforwardly: ACTION=="add", KERNEL=="sdb1", RUN+="/bin/raw /dev/raw/raw1 %N" per device Writing to any of the new raw devices dramatically slows down performance to just over 900KB/s. Can anyone point me in a helpful direction? Thanks in advance, -- jifa

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• Big data: An evening in the life of an actual buyer

  - by Jean-Pierre Dijcks

  Here I am, and this is an actual story of one of my evenings, trying to spend money with a company and ultimately failing. I just gave up and bought a service from another vendor, not the incumbent. Here is that story and how I think big data could actually fix this (and potentially prevent some of this from happening). In the end this story should illustrate how big data can benefit me (get me what I want without causing grief) and the company I am trying to buy something from. Note: Lots of details left out, I have no intention of being the annoyed blogger moaning about a specific company. What did I want to get? We watch TV, we have internet and we do have a land line. The land line is from a different vendor then the TV and the internet. I have decided that this makes no sense and I was going to get a bundle (no need to infer who this is, I just picked the generic bundle word as this is what I want to get) of all three services as this seems to save me money. I also want to not talk to people, I just want to click on a website when I feel like it and get it all sorted. I do think that is reality. I want to just do my shopping at 9.30pm while watching silly reruns on TV. Problem 1 - Bad links So, I'm an existing customer of the company I want to buy my bundle from. I go to the website, I click on offers. Turns out they are offers for new customers. After grumbling about how good they are, I click on offers for existing customers. Bummer, it goes to offers for new customers, so I click again on the link for offers for existing customers. No cigar... it just does not work. Big data solutions: 1) Do not show an existing customer the offers for new customers unless they are the same => This is only partially doable without login, but if a customer logs in the application should always know that this is an existing customer. But in general, imagine I do this from my home going through the internet service of this vendor to their domain... an instant filter should move me into the "existing customer route". 2) Flag dead or incorrect links => I've clicked the link for "existing customer offers" at least 3 times in under 5 seconds... Identifying patterns like this is easy in Hadoop and can very quickly make a list of potentially incorrect links. No need for realtime fixing, just the fact that this link can be pro-actively fixed across my entire web domain is a good thing. Preventative maintenance! Problem 2 - Purchase cannot be completed Apart from the fact that the browsing pattern to actually get to what I want is poorly designed, my purchase never gets past a specific point. In other words, I put something into my shopping cart and when I want to move on the application either crashes (with me going to an error page) or hangs or goes into something like chat. So I try again, and again and again. I think I tried this entire path (while being logged in!!) at least 10 times over the course of 20 minutes. I also clicked on the feedback button and, frustrated as I was, tried to explain this did not work... Big Data Solutions: 1) This web site does shopping cart analysis. I got an email next day stating I have things in my shopping cart, just click here to complete my purchase. After the above experience, this just added insult to my pain... 2) What should have happened, is a Hadoop job going over all logged in customers that are on the buy flow. It should flag anyone who is trying (multiple attempts from the same user to do the same thing), analyze the shopping card, the clicks to identify what the customers wants, his feedback provided (note: always own your own website feedback, never just farm this out!!) and in a short turn around time (30 minutes to 2 hours or so) email me with a link to complete my purchase. Not with a link to my shopping cart 12 hours later, but a link to actually achieve what I wanted... Why should this company go through the big data effort? I do believe this is relatively easy to do using our Oracle Event Processing and Big Data Appliance solutions combined. It is almost so simple (to my mind) that it makes no sense that this is not in place? But, now I am ranting... Why is this interesting? It is because of $$$$. After trying really hard, I mean I did this all in the evening, and again in the morning before going to work. I kept on failing, But I really wanted this to work... so an email that said, sorry, we noticed you tried to get a bundle (the log knows what I wanted, where I failed, so easy to generate), here is the link to click and complete your purchase. And here is 2 movies on us as an apology would have kept me as a customer, and got the additional $$$$ per month for the next couple of years. It would also lead to upsell on my phone package etc. Instead, I went to a completely different company, bought service from them. Lost money for company A, negative sentiment for company A and me telling this story at the water cooler so I'm influencing more people to think negatively about company A. All in all, a loss of easy money, a ding in sentiment and image where a relatively simple solution exists and can be in place on the software I describe routinely in this blog... For those who are coming to Openworld and maybe see value in solving the above, or are thinking of how to solve this, come visit us in Moscone North - Oracle Red Lounge or in the Engineered Systems Showcase.

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• Performance issues with new dedicated server [closed]

  - by Pierre Espenan

  I have just subscribed to a new dedicated server and am getting worst than expected PHP execution performance. Execution times are twice as high as on my old mutualized server! I'm definitely not an expert at server management, so I'm wondering what I missed. Here are some stuff that can help you understand what's wrong here : My server (in french but easy to understand) : http://www.online.net/fr/serveur-dedie/dedibox-sc phpinfo(); output : http://jsfiddle.net/E8b7W/embedded/result/ PHP bench script (dedicated server) : http://jsfiddle.net/EhXzK/embedded/result/ PHP bench script (old mutualized) : http://jsfiddle.net/ANbWt/embedded/result/ Is it normal to get such poor performances after a kernel update and basics "apt-get install" for apache2 and php ? Thanks !

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• Performance improvements of VBulletin by integrating the plugins

  - by reggie

  I have amassed quite a lot of plugins and code that is being hooked into VBulletin's plugin system. There are good uses for this system. But since I am now locked in with the VB 3 branch and it is no longer updated, I wonder what kind of performance improvements I would see if I integrated all the plugins into the vbulletin files and turned the plugin system completely off. My site has about 1.5 mio posts, about 100,000 threads, 100,000 members (of which 10,000 are "active"). I estimate I have about 200 plugins from different products in the plugin manager. Has anybody ever tried this move and could share the experiences?

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• graph performance monitor windows and linux

  - by Patrik

  We are using Munin to get graphs of our servers. (such as CPU load, I/O, available disk space, etc. ) Munin gives us last 24h, last 7 days, last month and last year. The good thing with Munin is that it supports all kinds of clients, such as Windows, Linux and switches because it can monitor over SNMP. However, we have a problem with the Munin client for Windows. Since we upgraded to Windows Server 2008 R2 it won't show graphs for some performance counters. What options are there out there? Both free and commercial.

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• Tools for analyzing performance of SQL Server/Express?

  - by Adam Crossland

  The application that I have customized and continue to support for my client is seeing dramatic performance problems in the field. Simple queries on rather small datasets take over a minute when I would expect them to complete with sub-second times. My current theory is that SQL Server Express 2005 is too limited for the rather non-trivial demands being made of it, but I am not sure how to get about gathering data that I can use to either prove my point or allow me to move on to finding another cause. Can anyone point me toward some tools that would allow me to analyze the load on this database? Information such as simultaneous connections, execution times of individual queries, memory usage, heck just any profiling data at all would be a help. Many thanks.

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• SAS disk performance drops a while after reboot.

  - by Flamewires

  So we have some workstations with identical hardware. The Fedora14 box has a couple weeks uptime and still get good performance. hdparm -tT /dev/sda /dev/sda: Timing cached reads: 21766 MB in 2.00 seconds = 10902.12 MB/sec Timing buffered disk reads: 586 MB in 3.00 seconds = 195.20 MB/sec The Cent 5.5 boxes however seem to be okay after a reboot, /dev/sda: Timing cached reads: 34636 MB in 2.00 seconds = 17354.64 MB/sec Timing buffered disk reads: 498 MB in 3.01 seconds = 165.62 MB/sec but some time later( unsure exactly, tested at approx 1 day uptime) /dev/sda: Timing cached reads: 2132 MB in 2.00 seconds = 1064.96 MB/sec Timing buffered disk reads: 160 MB in 3.01 seconds = 53.16 MB/sec drop to this. This is with very low load. I believe they all have the same bios settings. Any ideas what could cause this on Cent? Ask for more info. It might also be worth noting, that passing the --direct flag causes the slow boxes to perform similarly to the non-slow ones for buffered disk reads.

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• Classic vs universal Google analytics and loss of historical data

  - by iss42

  I'm keen to use some of the new features in Google Universal Analytics. I have an old site though that I don't want to lose the historical data for. The comparisons with historical data are interesting for example. However Google doesn't appear to allow you to change a property from the classic code to the new code. Am I missing something? I'm surprised this isn't a bigger issue for many other users.

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• Exploiting Data Parallelism in Ordered Data Streams

  • Many compute-intensive applications involve complex transformations of ordered input data to ordered output data. While the algorithms employed in these transformations are often parallel, managing the I/O order dependence can be a challenge.

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• Sun Directory Server 5.2 performance

  - by tmow

  Hi all, I'm using logconv.pl (provided by Sun), to measure performance on my server. These two metrics results, are worrying me a bit: Binds: 192164 Unbinds: 111569 In fact the difference between the two it's quite big, how can I determine which are the unbound requests? As stated by Lodovic: Many applications just close the connections without sending an Unbind request. This simply can explain the difference. But the logconv.pl doesn't show details about the unbound requests, do you know any other tools or can you suggest some queries or whatever that can help me find out the root cause? Do you think anyway that the performances may improve fixing the issue?

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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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• Classic vs universal and loss of historical data

  - by iss42

  I'm keen to use some of the new features in Google Universal Analytics. I have an old site though that I don't want to lose the historical data for. The comparisons with historical data are interesting for example. However Google doesn't appear to allow you to change a property from the classic code to the new code. Am I missing something? I'm surprised this isn't a bigger issue for many other users.

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• WCF NetTcpBinding Buffered vs Streamed performance problems

  - by DxCK

  I wrote a WCF service that should transform any size of files, using the Streamed TransferMode in NetTcpBinding, and System.IO.Stream object. When running performance test, i found significant performance problem. Then I decided to test it with Buffered TransferMode and saw that performance is two times faster! Because my service should transfer big files, i just can't stay in Buffered TransferMode because of memory management overhead on big files at the server and client side together. Why is Streamed TransferMode slower than the Buffered TransferMode? What can i do to make Stremed performance better?

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• High apache load but little traffic logged

  - by nrambeck

  I recently installed Varnish to sit in front of Apache on a dedicated server running a single site. It appears to be working well, but the load on Apache is still very high. What doesn't make sense is that the Apache access log shows almost no traffic getting past Varnish. When I tail the apache log I see about 1-3 hits per second come through. Here is what the load on Apache looks like : USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND apache 13834 8.1 1.0 107716 34164 ? S 08:24 0:02 /usr/sbin/httpd apache 13835 8.1 1.0 107716 33856 ? S 08:24 0:02 /usr/sbin/httpd apache 11483 7.9 0.9 105916 30788 ? S 08:23 0:06 /usr/sbin/httpd apache 12255 7.5 1.0 107476 33312 ? S 08:24 0:04 /usr/sbin/httpd apache 9340 7.2 1.1 107732 34916 ? R 08:23 0:09 /usr/sbin/httpd apache 12029 6.8 0.9 106908 30416 ? S 08:24 0:04 /usr/sbin/httpd apache 11577 6.7 1.0 107192 34180 ? S 08:24 0:05 /usr/sbin/httpd apache 11486 6.6 1.0 106176 33112 ? S 08:23 0:05 /usr/sbin/httpd apache 11796 6.4 1.0 106936 31916 ? S 08:24 0:04 /usr/sbin/httpd apache 13815 6.3 1.0 107988 34464 ? S 08:24 0:02 /usr/sbin/httpd apache 18089 6.3 1.3 107444 43212 ? S 08:11 0:52 /usr/sbin/httpd apache 11797 5.9 1.0 107716 34580 ? S 08:24 0:04 /usr/sbin/httpd apache 7655 5.9 0.0 0 0 ? Z 08:22 0:09 [httpd] <defunct> mysql 8033 5.9 6.2 318240 199512 ? Sl May14 352:34 /usr/libexec/mysqld --basedir=/usr --datadir=/var/lib/mysql --user=mysql --pid-file=/va apache 11488 5.8 0.9 106924 31632 ? S 08:23 0:04 /usr/sbin/httpd apache 9375 5.7 1.1 106956 35552 ? S 08:23 0:07 /usr/sbin/httpd apache 3551 5.6 1.1 106956 36140 ? S 08:20 0:14 /usr/sbin/httpd apache 7657 5.6 1.0 106968 32472 ? S 08:22 0:09 /usr/sbin/httpd apache 11433 5.6 1.0 107716 34396 ? S 08:23 0:04 /usr/sbin/httpd apache 5505 5.5 1.1 106944 34924 ? S 08:21 0:12 /usr/sbin/httpd apache 7172 5.3 1.1 106972 35368 ? S 08:22 0:09 /usr/sbin/httpd apache 10088 5.2 0.9 106160 31240 ? S 08:23 0:04 /usr/sbin/httpd apache 7656 5.1 1.0 106436 34388 ? S 08:22 0:08 /usr/sbin/httpd apache 3468 5.0 1.1 107716 35968 ? S 08:20 0:13 /usr/sbin/httpd apache 14242 4.8 1.0 107728 33032 ? S 08:25 0:00 /usr/sbin/httpd apache 3578 4.8 1.1 107988 35964 ? S 08:20 0:12 /usr/sbin/httpd apache 28192 4.8 1.2 106944 38060 ? S 08:17 0:23 /usr/sbin/httpd apache 3277 4.6 1.1 106956 35688 ? S 08:20 0:13 /usr/sbin/httpd apache 15434 3.7 0.7 106908 24684 ? S 08:25 0:00 /usr/sbin/httpd There is a default apache log and then one other VirtualHost log setup. I'm concerned that Apache is handling some kind of traffic that is not being logged. Is that possible? And is there anything I can do to capture that traffic?

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• High Load mysql on Debian server

  - by Oleg Abrazhaev

  I have Debian server with 32 gb memory. And there is apache2, memcached and nginx on this server. Memory load always on maximum. Only 500m free. Most memory leak do MySql. Apache only 70 clients configured, other services small memory usage. When mysql use all memory it stops. And nothing works, need mysql reboot. Mysql configured use maximum 24 gb memory. I have hight weight InnoDB bases. (400000 rows, 30 gb). And on server multithread daemon, that makes many inserts in this tables, thats why InnoDB. There is my mysql config. [mysqld] # # * Basic Settings # default-time-zone = "+04:00" user = mysql pid-file = /var/run/mysqld/mysqld.pid socket = /var/run/mysqld/mysqld.sock port = 3306 basedir = /usr datadir = /var/lib/mysql tmpdir = /tmp language = /usr/share/mysql/english skip-external-locking default-time-zone='Europe/Moscow' # # Instead of skip-networking the default is now to listen only on # localhost which is more compatible and is not less secure. # # * Fine Tuning # #low_priority_updates = 1 concurrent_insert = ALWAYS wait_timeout = 600 interactive_timeout = 600 #normal key_buffer_size = 2024M #key_buffer_size = 1512M #70% hot cache key_cache_division_limit= 70 #16-32 max_allowed_packet = 32M #1-16M thread_stack = 8M #40-50 thread_cache_size = 50 #orderby groupby sort sort_buffer_size = 64M #same myisam_sort_buffer_size = 400M #temp table creates when group_by tmp_table_size = 3000M #tables in memory max_heap_table_size = 3000M #on disk open_files_limit = 10000 table_cache = 10000 join_buffer_size = 5M # This replaces the startup script and checks MyISAM tables if needed # the first time they are touched myisam-recover = BACKUP #myisam_use_mmap = 1 max_connections = 200 thread_concurrency = 8 # # * Query Cache Configuration # #more ignored query_cache_limit = 50M query_cache_size = 210M #on query cache query_cache_type = 1 # # * Logging and Replication # # Both location gets rotated by the cronjob. # Be aware that this log type is a performance killer. #log = /var/log/mysql/mysql.log # # Error logging goes to syslog. This is a Debian improvement :) # # Here you can see queries with especially long duration log_slow_queries = /var/log/mysql/mysql-slow.log long_query_time = 1 log-queries-not-using-indexes # # The following can be used as easy to replay backup logs or for replication. # note: if you are setting up a replication slave, see README.Debian about # other settings you may need to change. #server-id = 1 #log_bin = /var/log/mysql/mysql-bin.log server-id = 1 log-bin = /var/lib/mysql/mysql-bin #replicate-do-db = gate log-bin-index = /var/lib/mysql/mysql-bin.index log-error = /var/lib/mysql/mysql-bin.err relay-log = /var/lib/mysql/relay-bin relay-log-info-file = /var/lib/mysql/relay-bin.info relay-log-index = /var/lib/mysql/relay-bin.index binlog_do_db = 24avia expire_logs_days = 10 max_binlog_size = 100M read_buffer_size = 4024288 innodb_buffer_pool_size = 5000M innodb_flush_log_at_trx_commit = 2 innodb_thread_concurrency = 8 table_definition_cache = 2000 group_concat_max_len = 16M #binlog_do_db = gate #binlog_ignore_db = include_database_name # # * BerkeleyDB # # Using BerkeleyDB is now discouraged as its support will cease in 5.1.12. #skip-bdb # # * InnoDB # # InnoDB is enabled by default with a 10MB datafile in /var/lib/mysql/. # Read the manual for more InnoDB related options. There are many! # You might want to disable InnoDB to shrink the mysqld process by circa 100MB. #skip-innodb # # * Security Features # # Read the manual, too, if you want chroot! # chroot = /var/lib/mysql/ # # For generating SSL certificates I recommend the OpenSSL GUI "tinyca". # # ssl-ca=/etc/mysql/cacert.pem # ssl-cert=/etc/mysql/server-cert.pem # ssl-key=/etc/mysql/server-key.pem [mysqldump] quick quote-names max_allowed_packet = 500M [mysql] #no-auto-rehash # faster start of mysql but no tab completition [isamchk] key_buffer = 32M key_buffer_size = 512M # # * NDB Cluster # # See /usr/share/doc/mysql-server-*/README.Debian for more information. # # The following configuration is read by the NDB Data Nodes (ndbd processes) # not from the NDB Management Nodes (ndb_mgmd processes). # # [MYSQL_CLUSTER] # ndb-connectstring=127.0.0.1 # # * IMPORTANT: Additional settings that can override those from this file! # The files must end with '.cnf', otherwise they'll be ignored. # !includedir /etc/mysql/conf.d/ Please, help me make it stable. Memory used /etc/mysql # free total used free shared buffers cached Mem: 32930800 32766424 164376 0 139208 23829196 -/+ buffers/cache: 8798020 24132780 Swap: 33553328 44660 33508668 Maybe my problem not in memory, but MySQL stops every day. As you can see, cache memory free 24 gb. Thank to Michael Hampton? for correction. Load overage on server 3.5. Maybe hdd or another problem? Maybe my config not optimal for 30gb InnoDB ?

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• Terrible DotNetNuke performance

  - by Peter Bridger

  I'm involved with a project using DotNetNuke version 05.01.04 Community Edition. We are building our new Intranet using it, but performance is terrible. We have five people adding pages and content to it and every 15-30 seconds they experience a pause of 10 seconds or longer before the system continues and the next screens loads. The server is Windows 2003, 3.8GHz with 1GB of RAM. I'm told by our server admin that the CPU and memory performance don't appear to be the bottleneck. We currently have 350 pages in the system, we a plan to add 1000. So we need to resolve this performance problem so that we can enter content and so we can go live. I just can't see where the bottleneck is. Is there a good why to determine the bottleneck when using DotNetNuke? Modules installed Publish:Engage (Not currently in use) Page Blaster (Doesn't appear to providing caching when users logged in using Integrated Authentication) SimpleGallery XMod Content Manager IIS Setup Application recycling completely disabled (Apart from a 2am recycle) New findings: 18th March 2010 The main bottleneck was due to version 5.1.4 having a bug which caused 1300 database roundtrips on an average page, due to broken database in-memory caching. We've upgraded to 5.2.4 which has resolved this bottleneck. Now the next biggest bottleneck is the navigation. We've used both DDR:Menu and DDN:Nav, but both have a major impact on performance. Is there a navigation interface out there that doesn't drain performance so badly?

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• Low load average with plenty of cpu-intersive processes

  - by sds

  I see loadavg at about 1 with at least 3 processes running at full tile. How can that be? top - 11:48:32 up 147 days, 5:38, 8 users, load average: 1.08, 1.11, 1.05 Tasks: 416 total, 4 running, 410 sleeping, 2 stopped, 0 zombie Cpu0 : 43.3%us, 13.7%sy, 0.0%ni, 43.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu1 : 48.8%us, 12.4%sy, 0.0%ni, 38.8%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu2 : 0.7%us, 0.7%sy, 0.0%ni, 98.3%id, 0.0%wa, 0.0%hi, 0.3%si, 0.0%st Cpu3 : 99.3%us, 0.7%sy, 0.0%ni, 0.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu4 : 0.0%us, 0.3%sy, 0.0%ni, 99.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu5 : 5.7%us, 0.7%sy, 0.0%ni, 93.6%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu6 : 2.3%us, 0.3%sy, 0.0%ni, 97.4%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu7 : 0.3%us, 0.3%sy, 0.0%ni, 99.0%id, 0.0%wa, 0.0%hi, 0.3%si, 0.0%st Cpu8 : 38.4%us, 17.4%sy, 0.0%ni, 44.2%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu9 : 43.4%us, 13.5%sy, 0.0%ni, 43.1%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu10 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu11 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu12 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu13 : 0.3%us, 0.3%sy, 0.0%ni, 99.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu14 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu15 : 1.0%us, 0.7%sy, 0.0%ni, 98.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 132145404k total, 88125080k used, 44020324k free, 516476k buffers Swap: 8388600k total, 620232k used, 7768368k free, 55729064k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 25424 jonathan 20 0 4404m 4.1g 3268 R 99.7 3.3 212:58.17 python2.7 20939 sam 20 0 908m 733m 3376 R 81.2 0.6 603:08.07 python2.7 20987 sam 20 0 908m 732m 3376 R 79.8 0.6 598:49.18 python2.7 25428 jonathan 20 0 774m 164m 15m S 14.2 0.1 24:22.60 java 20996 sam 20 0 98.4m 7780 1880 S 4.3 0.0 17:48.15 vw 20941 sam 20 0 161m 70m 1880 S 3.0 0.1 18:10.03 vw 20940 sam 20 0 98.4m 8068 1880 S 2.6 0.0 18:06.28 vw 20942 sam 20 0 98.4m 8080 1880 S 2.6 0.0 17:39.45 vw 20944 sam 20 0 161m 71m 1880 S 2.6 0.1 17:29.29 vw 20947 sam 20 0 161m 71m 1880 S 2.6 0.1 17:25.58 vw 20959 sam 20 0 161m 70m 1880 S 2.6 0.1 17:28.00 vw 20962 sam 20 0 161m 70m 1880 S 2.6 0.1 17:26.96 vw 20963 sam 20 0 98.4m 8076 1880 S 2.6 0.0 18:07.19 vw 20965 sam 20 0 161m 71m 1880 S 2.6 0.1 18:08.13 vw 20995 sam 20 0 161m 71m 1880 S 2.6 0.1 17:38.67 vw 6399 root 20 0 558m 19m 5028 S 2.3 0.0 4329:56 BESClient 20945 sam 20 0 98.4m 8068 1880 S 2.3 0.0 17:35.38 vw 20948 sam 20 0 98.4m 8068 1880 S 2.3 0.0 17:26.01 vw 20950 sam 20 0 161m 70m 1880 S 2.3 0.1 17:25.79 vw 20952 sam 20 0 98.4m 8076 1880 S 2.3 0.0 17:32.94 vw 20955 sam 20 0 161m 70m 1880 S 2.3 0.1 17:26.61 vw 20956 sam 20 0 98.4m 8072 1880 S 2.3 0.0 17:34.76 vw 20960 sam 20 0 98.4m 8072 1880 S 2.3 0.0 17:34.04 vw Adding up CPU loads gives about 300%. The top process list also adds up to about 300%. Why is load average about 1?

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• Change DataSource WCF Data Services

  - by umetzu

  Anybody know how to change the current data source of a DataServices on the fly? by Example i want to consultthe service and pass a parameter saying to pick up another connection., Is Possible???

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• Database performance benchmark

  - by pablo

  Any good articles out there comparing Oracle vs SQL Server vs MySql in terms of performance? I'd like to know things like: INSERT performance SELECT performance Scalability under heavy load Based on some real examples in order to gain a better understanding about the different RDBMS.

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• Referencing Entity from external data model - Core Data

  - by Ben Reeves

  I have a external library which includes a core data model, I would like to add a new entity to this model which has a relationship with one of the entities from the library. I know I could modify the original, but is there a way to without needing to pollute the library? I tried just creating a new model with an entity named the same, but that doesn't work: * Terminating app due to uncaught exception 'NSInvalidArgumentException', reason: 'Can't merge models with two different entities named 'Host''

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