Search Results

Search found 56 results on 3 pages for 'tps'.

Page 1/3 | 1 2 3  | Next Page >

  • Load Testing Java Web Application - find TPS / Avg transaction response time

    - by Steve
    I would like to build my own load testing tool in Java with the goal of being able to load test a web application I am building throughout the development cycle. The web application will be receiving server to server HTTP Post requests and I would like to find its starting transaction per second (TPS) capacity along with the avgerage response time. The Post request and response messages will be in XML (I dont' think that's really applicable though :) ). I have written a very simple Java app to send transactions and count how many transactions it was able to send in one second (1000 ms) however I don't think this is the best way to load test. Really what I want is to send any number of transactions at exactly the same time - i.e. 10, 50, 100 etc. Any help would be appreciated! Oh and here is my current test app code: Thread[] t = new Thread[1]; for (int a = 0; a < t.length; a++) { t[a] = new Thread(new MessageLoop()); } startTime = System.currentTimeMillis(); System.out.println(startTime); for (int a = 0; a < t.length; a++) { t[a].start(); } while ((System.currentTimeMillis() - startTime) < 1000 ) { } if ((System.currentTimeMillis() - startTime) > 1000 ) { for (int a = 0; a < t.length; a++) { t[a].interrupt(); } } long endTime = System.currentTimeMillis(); System.out.println(endTime); System.out.println("Total time: " + (endTime - startTime)); System.out.println("Total transactions: " + count); private static class MessageLoop implements Runnable { public void run() { try { //Test Number of transactions while ((System.currentTimeMillis() - startTime) < 1000 ) { // SEND TRANSACTION HERE count++; } } catch (Exception e) { } } }

    Read the article

  • Weird TPS peaks on SQL 2005 replicated database.

    - by SuperCoolMoss
    When monitoring the Transactions/Sec using perfmon on one of my SQL2005 replicated databases - I'm seeing the TPS increase to 1000 and then immediately drop back down again - this happens every 5 seconds. I'm not sure what's causing this - is this something to do with replication? We also have asynchronous statistics set on this particular database. I've tried profiling when the users are not connected - but nothing is writing to the database. ADDED PICTURE AND BOUNTY

    Read the article

  • The Best Free Online First Person Shooter (FPS) Games

    - by Lori Kaufman
    First Person Shooter (FPS) games are action games centered around gun and projectile weapon-based combat. As the player, you experience the action directly through the eyes of the protagonist. FPS games have become a very popular type of game online. A lot of FPS games are paid, but there are many you can play for free. Most FPS games have online versions where you play in a supported browser or download a program for your PC that allows you to connect to the game online. We have collected links and information about some of the more popular free FPS games available. All the games listed here are free to play, but there may be some limitations, and you have to register for many of them and download game clients to your computer to be able to connect to the game online. Secure Yourself by Using Two-Step Verification on These 16 Web Services How to Fix a Stuck Pixel on an LCD Monitor How to Factory Reset Your Android Phone or Tablet When It Won’t Boot

    Read the article

  • Investigate disk writes further to find out which process writes to my SSD

    - by zuba
    I try to minimize disk writes to my new SSD system drive. I'm stuck with iostat output: ~ > iostat -d 10 /dev/sdb Linux 2.6.32-44-generic (Pluto) 13.11.2012 _i686_ (2 CPU) Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sdb 8,60 212,67 119,45 21010156 11800488 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sdb 3,00 0,00 40,00 0 400 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sdb 1,70 0,00 18,40 0 184 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sdb 1,20 0,00 28,80 0 288 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sdb 2,20 0,00 32,80 0 328 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sdb 1,20 0,00 23,20 0 232 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sdb 3,40 19,20 42,40 192 424 As I see there are writes to sdb. How can I resolve which process writes? I know about iotop, but it doesn't show which filesystem is being accessed.

    Read the article

  • Multiplayer approach for tablets on wi-fi (FPS/TPS)? Server authority, etc

    - by Fraggle
    Looking for some guidance or what has worked well for others in implementing a multiplayer FPS/TPS type game on tablets (probably just 2-6 players at a time). The main issue being that tablets/phones are typically "less" connected than say a console or pc might be. And therefore, my thought is that to have complete Server authority of everything is not going to work. But maybe I'm off base on that. So I guess I'm struggling with what (if anything) should happen on a central server and what should happen locally. Or is centralized approach even needed? Some approaches I might do: Player movement : my thought is to control this locally (player-owner) and update server with positon (which then sends out to other clients). Use client side prediction for opponent players so that connection loss will not show a plane for example stop in mid air. Server will send update and try to smoothly correct an opponent player position to server updated one.But don't update owners position on owners device from server. Powerups (health kit/ammo/coins/etc) : need to see them disappear immediately, so do it locally. Add the health locally, but perhaps allow for server correction. If server doesn't see player near that powerup, reject the powerup and adjust server health for player. Fire weapons: Have to see it happen right away, so fire locally, create local bullet and send on its way. Send rpc to server so that this player on other clients also fires. Hit detection: Get's trickier. Make bullet/projectile disappear locally, and perhaps perform local hit animations (shaking, whatever). non-authoritative approach= take the damage locally and send rpc to server or others to update health and inform of hit. Authoritative approach-Don't take the damage, or adjust health. Server will do that if it detects a hit. Anyway that's my current thought stream. Let me know what you think of the above or what has worked for you.

    Read the article

  • Mysql performance problem & Failed DIMM

    - by murdoch
    Hi I have a dedicated mysql database server which has been having some performance problems recently, under normal load the server will be running fine, then suddenly out of the blue the performance will fall off a cliff. The server isn't using the swap file and there is 12GB of RAM in the server, more than enough for its needs. After contacting my hosting comapnies support they have discovered that there is a failed 2GB DIMM in the server and have scheduled to replace it tomorow morning. My question is could a failed DIMM result in the performance problems I am seeing or is this just coincidence? My worry is that they will replace the ram tomorrow but the problems will persist and I will still be lost of explanations so I am just trying to think ahead. The reason I ask is that there is plenty of RAM in the server, more than required and simply missing 2GB should be a problem, so if this failed DIMM is causing these performance problems then the OS must be trying to access the failed DIMM and slowing down as a result. Does that sound like a credible explanation? This is what DELLs omreport program says about the RAM, notice one dimm is "Critical" Memory Information Health : Critical Memory Operating Mode Fail Over State : Inactive Memory Operating Mode Configuration : Optimizer Attributes of Memory Array(s) Attributes : Location Memory Array 1 : System Board or Motherboard Attributes : Use Memory Array 1 : System Memory Attributes : Installed Capacity Memory Array 1 : 12288 MB Attributes : Maximum Capacity Memory Array 1 : 196608 MB Attributes : Slots Available Memory Array 1 : 18 Attributes : Slots Used Memory Array 1 : 6 Attributes : ECC Type Memory Array 1 : Multibit ECC Total of Memory Array(s) Attributes : Total Installed Capacity Value : 12288 MB Attributes : Total Installed Capacity Available to the OS Value : 12004 MB Attributes : Total Maximum Capacity Value : 196608 MB Details of Memory Array 1 Index : 0 Status : Ok Connector Name : DIMM_A1 Type : DDR3-Registered Size : 2048 MB Index : 1 Status : Ok Connector Name : DIMM_A2 Type : DDR3-Registered Size : 2048 MB Index : 2 Status : Ok Connector Name : DIMM_A3 Type : DDR3-Registered Size : 2048 MB Index : 3 Status : Critical Connector Name : DIMM_B1 Type : DDR3-Registered Size : 2048 MB Index : 4 Status : Ok Connector Name : DIMM_B2 Type : DDR3-Registered Size : 2048 MB Index : 5 Status : Ok Connector Name : DIMM_B3 Type : DDR3-Registered Size : 2048 MB the command free -m shows this, the server seems to be using more than 10GB of ram which would suggest it is trying to use the DIMM total used free shared buffers cached Mem: 12004 10766 1238 0 384 4809 -/+ buffers/cache: 5572 6432 Swap: 2047 0 2047 iostat output while problem is occuring avg-cpu: %user %nice %system %iowait %steal %idle 52.82 0.00 11.01 0.00 0.00 36.17 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 47.00 0.00 576.00 0 576 sda1 0.00 0.00 0.00 0 0 sda2 1.00 0.00 32.00 0 32 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 46.00 0.00 544.00 0 544 avg-cpu: %user %nice %system %iowait %steal %idle 53.12 0.00 7.81 0.00 0.00 39.06 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 49.00 0.00 592.00 0 592 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 49.00 0.00 592.00 0 592 avg-cpu: %user %nice %system %iowait %steal %idle 56.09 0.00 7.43 0.37 0.00 36.10 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 232.00 0.00 64520.00 0 64520 sda1 0.00 0.00 0.00 0 0 sda2 159.00 0.00 63728.00 0 63728 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 73.00 0.00 792.00 0 792 avg-cpu: %user %nice %system %iowait %steal %idle 52.18 0.00 9.24 0.06 0.00 38.51 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 49.00 0.00 600.00 0 600 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 49.00 0.00 600.00 0 600 avg-cpu: %user %nice %system %iowait %steal %idle 54.82 0.00 8.64 0.00 0.00 36.55 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 100.00 0.00 2168.00 0 2168 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 100.00 0.00 2168.00 0 2168 avg-cpu: %user %nice %system %iowait %steal %idle 54.78 0.00 6.75 0.00 0.00 38.48 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 84.00 0.00 896.00 0 896 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 84.00 0.00 896.00 0 896 avg-cpu: %user %nice %system %iowait %steal %idle 54.34 0.00 7.31 0.00 0.00 38.35 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 81.00 0.00 840.00 0 840 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 81.00 0.00 840.00 0 840 avg-cpu: %user %nice %system %iowait %steal %idle 55.18 0.00 5.81 0.44 0.00 38.58 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 317.00 0.00 105632.00 0 105632 sda1 0.00 0.00 0.00 0 0 sda2 224.00 0.00 104672.00 0 104672 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 93.00 0.00 960.00 0 960 avg-cpu: %user %nice %system %iowait %steal %idle 55.38 0.00 7.63 0.00 0.00 36.98 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 74.00 0.00 800.00 0 800 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 74.00 0.00 800.00 0 800 avg-cpu: %user %nice %system %iowait %steal %idle 56.43 0.00 7.80 0.00 0.00 35.77 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 72.00 0.00 784.00 0 784 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 72.00 0.00 784.00 0 784 avg-cpu: %user %nice %system %iowait %steal %idle 54.87 0.00 6.49 0.00 0.00 38.64 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 80.20 0.00 855.45 0 864 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 80.20 0.00 855.45 0 864 avg-cpu: %user %nice %system %iowait %steal %idle 57.22 0.00 5.69 0.00 0.00 37.09 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 33.00 0.00 432.00 0 432 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 33.00 0.00 432.00 0 432 avg-cpu: %user %nice %system %iowait %steal %idle 56.03 0.00 7.93 0.00 0.00 36.04 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 41.00 0.00 560.00 0 560 sda1 0.00 0.00 0.00 0 0 sda2 2.00 0.00 88.00 0 88 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 39.00 0.00 472.00 0 472 avg-cpu: %user %nice %system %iowait %steal %idle 55.78 0.00 5.13 0.00 0.00 39.09 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 29.00 0.00 392.00 0 392 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 29.00 0.00 392.00 0 392 avg-cpu: %user %nice %system %iowait %steal %idle 53.68 0.00 8.30 0.06 0.00 37.95 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 78.00 0.00 4280.00 0 4280 sda1 0.00 0.00 0.00 0 0 sda2 0.00 0.00 0.00 0 0 sda3 0.00 0.00 0.00 0 0 sda4 0.00 0.00 0.00 0 0 sda5 78.00 0.00 4280.00 0 4280

    Read the article

  • Performance degrades for more than 2 threads on Xeon X5355

    - by zoolii
    Hi All, I am writing an application using boost threads and using boost barriers to synchronize the threads. I have two machines to test the application. Machine 1 is a core2 duo (T8300) cpu machine (windows XP professional - 4GB RAM) where I am getting following performance figures : Number of threads :1 , TPS :21 Number of threads :2 , TPS :35 (66 % improvement) further increase in number of threads decreases the TPS but that is understandable as the machine has only two cores. Machine 2 is a 2 quad core ( Xeon X5355) cpu machine (windows 2003 server with 4GB RAM) and has 8 effective cores. Number of threads :1 , TPS :21 Number of threads :2 , TPS :27 (28 % improvement) Number of threads :4 , TPS :25 Number of threads :8 , TPS :24 As you can see, performance is degrading after 2 threads (though it has 8 cores). If the program has some bottle neck , then for 2 thread also it should have degraded. Any idea? , Explanations ? , Does the OS has some role in performance ? - It seems like the Core2duo (2.4GHz) scales better than Xeon X5355 (2.66GHz) though it has better clock speed. Thank you -Zoolii

    Read the article

  • Performance degrades for more than 2 threads on Xeon X5355

    - by zoolii
    Hi All, I am writing an application using boost threads and using boost barriers to synchronize the threads. I have two machines to test the application. Machine 1 is a core2 duo (T8300) cpu machine (windows XP professional - 4GB RAM) where I am getting following performance figures : Number of threads :1 , TPS :21 Number of threads :2 , TPS :35 (66 % improvement) further increase in number of threads decreases the TPS but that is understandable as the machine has only two cores. Machine 2 is a 2 quad core ( Xeon X5355) cpu machine (windows 2003 server with 4GB RAM) and has 8 effective cores. Number of threads :1 , TPS :21 Number of threads :2 , TPS :27 (28 % improvement) Number of threads :4 , TPS :25 Number of threads :8 , TPS :24 As you can see, performance is degrading after 2 threads (though it has 8 cores). If the program has some bottle neck , then for 2 thread also it should have degraded. Any idea? , Explanations ? , Does the OS has some role in performance ? - It seems like the Core2duo (2.4GHz) scales better than Xeon X5355 (2.66GHz) though it has better clock speed. Thank you -Zoolii

    Read the article

  • Operand should contain 1 column(s) about insert into & select

    - by user1038890
    "insert into NodeProfileSections (profile_no, tpl_section_no) select (np.profile_no, tps.tpl_section_no) from NodeProfile np, TemplateProfileSection tps, TemplateProfile tp where np.hostname = '%s' AND np.role = '%s' AND tp.tpl_profile_no = tps.tpl_profile_no AND tp.tpl_name = '%s' AND tp.role = '%s' AND tps.tpl_section_name = '%s';" %(hostname, role, template_name, role, section_name) error_message = 'Operand should contain 1 column(s)' How to solve this problem?

    Read the article

  • Remote servlet by mod_jk ?

    - by marioosh.net
    I have remote servlet for example: h*tps://[ip_address]/servlet (h*tps://[ip_address]/ - Tomcat main page) that i need to configure on local Apache HTTPd server. My mod_jk configuration looks like below, but doesn't work. Something works, because when i type h*tps://localhost/console in a browser i get Tomcat error page "HTTP Status 404 - /console/". JkWorkersFile /etc/apache2/workers.properties JkLogFile /var/log/apache2/mod_jk.log JkLogLevel info JkMount /console/* ajp13 workers.properties: worker.ajp13.type=ajp13 worker.ajp13.host=[ip_address] worker.ajp13.port=8009 Remote Tomcat is configured good i think - listen on port 8009 and servlet h*tps://[ip_address]/servlet works too. <Connector port="8009" protocol="AJP/1.3" redirectPort="443" /> Anybody helps ?

    Read the article

  • Oracle TimesTen In-Memory Database Performance on SPARC T4-2

    - by Brian
    The Oracle TimesTen In-Memory Database is optimized to run on Oracle's SPARC T4 processor platforms running Oracle Solaris 11 providing unsurpassed scalability, performance, upgradability, protection of investment and return on investment. The following demonstrate the value of combining Oracle TimesTen In-Memory Database with SPARC T4 servers and Oracle Solaris 11: On a Mobile Call Processing test, the 2-socket SPARC T4-2 server outperforms: Oracle's SPARC Enterprise M4000 server (4 x 2.66 GHz SPARC64 VII+) by 34%. Oracle's SPARC T3-4 (4 x 1.65 GHz SPARC T3) by 2.7x, or 5.4x per processor. Utilizing the TimesTen Performance Throughput Benchmark (TPTBM), the SPARC T4-2 server protects investments with: 2.1x the overall performance of a 4-socket SPARC Enterprise M4000 server in read-only mode and 1.5x the performance in update-only testing. This is 4.2x more performance per processor than the SPARC64 VII+ 2.66 GHz based system. 10x more performance per processor than the SPARC T2+ 1.4 GHz server. 1.6x better performance per processor than the SPARC T3 1.65 GHz based server. In replication testing, the two socket SPARC T4-2 server is over 3x faster than the performance of a four socket SPARC Enterprise T5440 server in both asynchronous replication environment and the highly available 2-Safe replication. This testing emphasizes parallel replication between systems. Performance Landscape Mobile Call Processing Test Performance System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 218,400 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 162,900 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 80,400 TimesTen Performance Throughput Benchmark (TPTBM) Read-Only System Processor Sockets/Cores/Threads Tps SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 7.9M SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 6.5M M4000 SPARC64 VII+, 2.66 GHz 4 16 32 3.1M T5440 SPARC T2+, 1.4 GHz 4 32 256 3.1M TimesTen Performance Throughput Benchmark (TPTBM) Update-Only System Processor Sockets/Cores/Threads Tps SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 547,800 M4000 SPARC64 VII+, 2.66 GHz 4 16 32 363,800 SPARC T3-4 SPARC T3, 1.65 GHz 4 64 512 240,500 TimesTen Replication Tests System Processor Sockets/Cores/Threads Asynchronous 2-Safe SPARC T4-2 SPARC T4, 2.85 GHz 2 16 128 38,024 13,701 SPARC T5440 SPARC T2+, 1.4 GHz 4 32 256 11,621 4,615 Configuration Summary Hardware Configurations: SPARC T4-2 server 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 4 x 300 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head SPARC T3-4 server 4 x SPARC T3 processors, 1.6 GHz 512 GB memory 1 x 8 Gbs FC Qlogic HBA 8 x 146 GB internal disks 1 x Sun Fire X4275 server configured as COMSTAR head SPARC Enterprise M4000 server 4 x SPARC64 VII+ processors, 2.66 GHz 128 GB memory 1 x 8 Gbs FC Qlogic HBA 1 x 6 Gbs SAS HBA 2 x 146 GB internal disks Sun Storage F5100 Flash Array (40 x 24 GB flash modules) 1 x Sun Fire X4275 server configured as COMSTAR head Software Configuration: Oracle Solaris 11 11/11 Oracle TimesTen 11.2.2.4 Benchmark Descriptions TimesTen Performance Throughput BenchMark (TPTBM) is shipped with TimesTen and measures the total throughput of the system. The workload can test read-only, update-only, delete and insert operations as required. Mobile Call Processing is a customer-based workload for processing calls made by mobile phone subscribers. The workload has a mixture of read-only, update, and insert-only transactions. The peak throughput performance is measured from multiple concurrent processes executing the transactions until a peak performance is reached via saturation of the available resources. Parallel Replication tests using both asynchronous and 2-Safe replication methods. For asynchronous replication, transactions are processed in batches to maximize the throughput capabilities of the replication server and network. In 2-Safe replication, also known as no data-loss or high availability, transactions are replicated between servers immediately emphasizing low latency. For both environments, performance is measured in the number of parallel replication servers and the maximum transactions-per-second for all concurrent processes. See Also SPARC T4-2 Server oracle.com OTN Oracle TimesTen In-Memory Database oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 1 October 2012.

    Read the article

  • Election 2012: Twitter Breaks Records with MySQL

    - by Bertrand Matthelié
    Twitter VP of Infrastructure Operations Engineering Mazen Rawashdeh shared news and numbers yesterday on his blog: "Last night, the world tuned in to Twitter to share the election results as U.S. voters chose a president and settled many other campaigns. Throughout the day, people sent more than 31 million election-related Tweets (which contained certain key terms and relevant hashtags). And as results rolled in, we tracked the surge in election-related Tweets at 327,452 Tweets per minute (TPM). These numbers reflect the largest election-related Twitter conversation during our 6 years of existence, though they don’t capture the total volume of all Tweets yesterday." "Last night, Twitter averaged about 9,965 TPS from 8:11pm to 9:11pm PT, with a one-second peak of 15,107 TPS at 8:20pm PT and a one-minute peak of 874,560 TPM. Seeing a sustained peak over the course of an entire event is a change from the way people have previously turned to Twitter during live events. Now, rather than brief spikes, we are seeing sustained peaks for hours." Congrats to Jeremy Cole, Davi Arnaut and the rest of the team at Twitter for their excellent work! Jeremy recently held a keynote presentation at MySQL Connect describing how MySQL powers Twitter, and why they chose and continue to rely on MySQL for their operations. You can watch the presentation here. He also went into more details during another presentation later that day and you can access the slides here. Below a couple of tweets from Jeremy after what have surely been hectic days...  Keep up the good work guys!

    Read the article

  • Why load increase ,ssd iops increase but cpu iowait decrease?

    - by mq44944
    There is a strange thing on my server which has a mysql running on it. The QPS is more than 4000 but TPS is less than 20. The server load is more than 80 and cpu usr is more than 86% but iowait is less than 8%. The disk iops is more than 16000 and util of disk is more than 99%. When the QPS decreases, the load decreases, the cpu iowait increases. I can't catch this! root@mypc # dmidecode | grep "Product Name" Product Name: PowerEdge R510 Product Name: 084YMW root@mypc # megacli -PDList -aALL |grep "Inquiry Data" Inquiry Data: SEAGATE ST3600057SS ES656SL316PT Inquiry Data: SEAGATE ST3600057SS ES656SL30THV Inquiry Data: ATA INTEL SSDSA2CW300362CVPR201602A6300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR2044037K300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR204402PX300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR204403WN300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR202000HU300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR202001E7300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR204402WE300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR204404E5300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR204401QF300EGN Inquiry Data: ATA INTEL SSDSA2CW300362CVPR20450001300EGN the mysql data files lie on the ssd disks which are organizaed using RAID 10. root@mypc # megacli -LDInfo -L1 -a0 Adapter 0 -- Virtual Drive Information: Virtual Disk: 1 (Target Id: 1) Name: RAID Level: Primary-1, Secondary-0, RAID Level Qualifier-0 Size:1427840MB State: Optimal Stripe Size: 64kB Number Of Drives:2 Span Depth:5 Default Cache Policy: WriteThrough, ReadAheadNone, Direct, No Write Cache if Bad BBU Current Cache Policy: WriteThrough, ReadAheadNone, Direct, No Write Cache if Bad BBU Access Policy: Read/Write Disk Cache Policy: Disk's Default Exit Code: 0x00 -------- -----load-avg---- ---cpu-usage--- ---swap--- -------------------------io-usage----------------------- -QPS- -TPS- -Hit%- time | 1m 5m 15m |usr sys idl iow| si so| r/s w/s rkB/s wkB/s queue await svctm %util| ins upd del sel iud| lor hit| 09:05:29|79.80 64.49 42.00| 82 7 6 5| 0 0|16421.1 10.6262705.9 85.2 8.3 0.5 0.1 99.5| 0 0 0 3968 0| 495482 96.58| 09:05:30|79.80 64.49 42.00| 79 7 8 6| 0 0|15907.4 230.6254409.7 6357.5 8.4 0.5 0.1 98.5| 0 0 0 4195 0| 496434 96.68| 09:05:31|81.34 65.07 42.31| 81 7 7 5| 0 0|16198.7 8.6259029.2 99.8 8.1 0.5 0.1 99.3| 0 0 0 4220 0| 508983 96.70| 09:05:32|81.34 65.07 42.31| 82 7 5 5| 0 0|16746.6 8.7267853.3 92.4 8.5 0.5 0.1 99.4| 0 0 0 4084 0| 503834 96.54| 09:05:33|81.34 65.07 42.31| 81 7 6 5| 0 0|16498.7 9.6263856.8 92.3 8.0 0.5 0.1 99.3| 0 0 0 4030 0| 507051 96.60| 09:05:34|81.34 65.07 42.31| 80 8 7 6| 0 0|16328.4 11.5261101.6 95.8 8.1 0.5 0.1 98.3| 0 0 0 4119 0| 504409 96.63| 09:05:35|81.31 65.33 42.52| 82 7 6 5| 0 0|16374.0 8.7261921.9 92.5 8.1 0.5 0.1 99.7| 0 0 0 4127 0| 507279 96.66| 09:05:36|81.31 65.33 42.52| 81 8 6 5| 0 0|16496.2 8.6263832.0 84.5 8.5 0.5 0.1 99.2| 0 0 0 4100 0| 505054 96.59| 09:05:37|81.31 65.33 42.52| 82 8 6 4| 0 0|16239.4 9.6259768.8 84.3 8.0 0.5 0.1 99.1| 0 0 0 4273 0| 510621 96.72| 09:05:38|81.31 65.33 42.52| 81 7 6 5| 0 0|16349.6 8.7261439.2 81.4 8.2 0.5 0.1 98.9| 0 0 0 4171 0| 510145 96.67| 09:05:39|81.31 65.33 42.52| 82 7 6 5| 0 0|16116.8 8.7257667.6 96.5 8.0 0.5 0.1 99.1| 0 0 0 4348 0| 513093 96.74| 09:05:40|79.60 65.24 42.61| 79 7 7 7| 0 0|16154.2 242.9258390.4 6388.4 8.5 0.5 0.1 99.0| 0 0 0 4033 0| 507244 96.70| 09:05:41|79.60 65.24 42.61| 79 7 8 6| 0 0|16583.1 21.2265129.6 173.5 8.2 0.5 0.1 99.1| 0 0 0 3995 0| 501474 96.57| 09:05:42|79.60 65.24 42.61| 81 8 6 5| 0 0|16281.0 9.7260372.2 69.5 8.3 0.5 0.1 98.7| 0 0 0 4221 0| 509322 96.70| 09:05:43|79.60 65.24 42.61| 80 7 7 6| 0 0|16355.3 8.7261515.5 104.3 8.2 0.5 0.1 99.6| 0 0 0 4087 0| 502052 96.62| -------- -----load-avg---- ---cpu-usage--- ---swap--- -------------------------io-usage----------------------- -QPS- -TPS- -Hit%- time | 1m 5m 15m |usr sys idl iow| si so| r/s w/s rkB/s wkB/s queue await svctm %util| ins upd del sel iud| lor hit| 09:05:44|79.60 65.24 42.61| 83 7 5 4| 0 0|16469.4 11.6263387.0 138.8 8.2 0.5 0.1 98.7| 0 0 0 4292 0| 509979 96.65| 09:05:45|79.07 65.37 42.77| 80 7 6 6| 0 0|16659.5 9.7266478.7 85.0 8.4 0.5 0.1 98.5| 0 0 0 3899 0| 496234 96.54| 09:05:46|79.07 65.37 42.77| 78 7 7 8| 0 0|16752.9 8.7267921.8 97.1 8.4 0.5 0.1 98.9| 0 0 0 4126 0| 508300 96.57| 09:05:47|79.07 65.37 42.77| 82 7 6 5| 0 0|16657.2 9.6266439.3 84.3 8.3 0.5 0.1 98.9| 0 0 0 4086 0| 502171 96.57| 09:05:48|79.07 65.37 42.77| 79 8 6 6| 0 0|16814.5 8.7268924.1 77.6 8.5 0.5 0.1 99.0| 0 0 0 4059 0| 499645 96.52| 09:05:49|79.07 65.37 42.77| 81 7 6 5| 0 0|16553.0 6.8264708.6 42.5 8.3 0.5 0.1 99.4| 0 0 0 4249 0| 501623 96.60| 09:05:50|79.63 65.71 43.01| 79 7 7 7| 0 0|16295.1 246.9260475.0 6442.4 8.7 0.5 0.1 99.1| 0 0 0 4231 0| 511032 96.70| 09:05:51|79.63 65.71 43.01| 80 7 6 6| 0 0|16568.9 8.7264919.7 104.7 8.3 0.5 0.1 99.7| 0 0 0 4272 0| 517177 96.68| 09:05:53|79.63 65.71 43.01| 79 7 7 6| 0 0|16539.0 8.6264502.9 87.6 8.4 0.5 0.1 98.9| 0 0 0 3992 0| 496728 96.52| 09:05:54|79.63 65.71 43.01| 79 7 7 7| 0 0|16527.5 11.6264363.6 92.6 8.5 0.5 0.1 98.8| 0 0 0 4045 0| 502944 96.59| 09:05:55|79.63 65.71 43.01| 80 7 7 6| 0 0|16374.7 12.5261687.2 134.9 8.6 0.5 0.1 99.2| 0 0 0 4143 0| 507006 96.66| 09:05:56|76.05 65.20 42.96| 77 8 8 8| 0 0|16464.9 9.6263314.3 111.9 8.5 0.5 0.1 98.9| 0 0 0 4250 0| 505417 96.64| 09:05:57|76.05 65.20 42.96| 79 7 6 7| 0 0|16460.1 8.8263283.2 93.4 8.3 0.5 0.1 98.8| 0 0 0 4294 0| 508168 96.66| 09:05:58|76.05 65.20 42.96| 80 7 7 7| 0 0|16176.5 9.6258762.1 127.3 8.3 0.5 0.1 98.9| 0 0 0 4160 0| 509349 96.72| 09:05:59|76.05 65.20 42.96| 75 7 9 10| 0 0|16522.0 10.7264274.6 93.1 8.6 0.5 0.1 97.5| 0 0 0 4034 0| 492623 96.51| -------- -----load-avg---- ---cpu-usage--- ---swap--- -------------------------io-usage----------------------- -QPS- -TPS- -Hit%- time | 1m 5m 15m |usr sys idl iow| si so| r/s w/s rkB/s wkB/s queue await svctm %util| ins upd del sel iud| lor hit| 09:06:00|76.05 65.20 42.96| 79 7 7 7| 0 0|16369.6 21.2261867.3 262.5 8.4 0.5 0.1 98.9| 0 0 0 4305 0| 494509 96.59| 09:06:01|75.33 65.23 43.09| 73 6 9 12| 0 0|15864.0 209.3253685.4 6238.0 10.0 0.6 0.1 98.7| 0 0 0 3913 0| 483480 96.62| 09:06:02|75.33 65.23 43.09| 73 7 8 12| 0 0|15854.7 12.7253613.2 93.6 11.0 0.7 0.1 99.0| 0 0 0 4271 0| 483771 96.64| 09:06:03|75.33 65.23 43.09| 75 7 9 9| 0 0|16074.8 8.7257104.3 81.7 8.1 0.5 0.1 98.5| 0 0 0 4060 0| 480701 96.55| 09:06:04|75.33 65.23 43.09| 76 7 8 9| 0 0|16221.7 9.7259500.1 139.4 8.1 0.5 0.1 97.6| 0 0 0 3953 0| 486774 96.56| 09:06:05|74.98 65.33 43.24| 78 7 8 8| 0 0|16330.7 8.7261166.5 85.3 8.2 0.5 0.1 98.5| 0 0 0 3957 0| 481775 96.53| 09:06:06|74.98 65.33 43.24| 75 7 9 9| 0 0|16093.7 11.7257436.1 93.7 8.2 0.5 0.1 99.2| 0 0 0 3938 0| 489251 96.60| 09:06:07|74.98 65.33 43.24| 75 7 5 13| 0 0|15758.9 19.2251989.4 188.2 14.7 0.9 0.1 99.7| 0 0 0 4140 0| 494738 96.70| 09:06:08|74.98 65.33 43.24| 69 7 10 15| 0 0|16166.3 8.7258474.9 81.2 8.9 0.5 0.1 98.7| 0 0 0 3993 0| 487162 96.58| 09:06:09|74.98 65.33 43.24| 74 7 9 10| 0 0|16071.0 8.7257010.9 93.3 8.2 0.5 0.1 99.2| 0 0 0 4098 0| 491557 96.61| 09:06:10|70.98 64.66 43.14| 71 7 9 12| 0 0|15549.6 216.1248701.1 6188.7 8.3 0.5 0.1 97.8| 0 0 0 3879 0| 480832 96.66| 09:06:11|70.98 64.66 43.14| 71 7 10 13| 0 0|16233.7 22.4259568.1 257.1 8.2 0.5 0.1 99.2| 0 0 0 4088 0| 493200 96.62| 09:06:12|70.98 64.66 43.14| 78 7 8 7| 0 0|15932.4 10.6254779.5 108.1 8.1 0.5 0.1 98.6| 0 0 0 4168 0| 489838 96.63| 09:06:13|70.98 64.66 43.14| 71 8 9 12| 0 0|16255.9 11.5259902.3 103.9 8.3 0.5 0.1 98.0| 0 0 0 3874 0| 481246 96.52| 09:06:14|70.98 64.66 43.14| 60 6 16 18| 0 0|15621.0 9.7249826.1 81.9 8.0 0.5 0.1 99.3| 0 0 0 3956 0| 480278 96.65|

    Read the article

  • dojox.grid.DataGrid can't display repeat rows?

    - by Robert
    We have a situation where we need to display data from a database in a grid which has repeat rows, but it seems at least the basic examples fail when the cell data is identical with Sorry, an error occurred. An example follows: <script dojo.require("dojo.data.ItemFileWriteStore"); dojo.require("dojox.grid.DataGrid"); var historyData = { 'identifier': 'time', 'label': 'time', 'items': [ { 'message': 'Please turn in your TPS reports immediately', 'time': 'March 3 2010 7:20 AM', 'sentBy':'Bill Lumbergh' }, { 'message': 'Please turn in your TPS reports immediately', 'time': 'March 3 2010 7:20 AM', 'sentBy':'Bill Lumbergh' }] }; var historyGridLayout = [ [{ field: "message", name: "Message" }, { field: "time", name: "Display Date & Time" }, { field: "sentBy", name: "Sent By" }]]; </script <body class="tundra " <div dojoType="dojo.data.ItemFileWriteStore" data="historyData" jsId="historyStore" </div <div id="grid" dojoType="dojox.grid.DataGrid" store="historyStore" structure="historyGridLayout" </div </body Help!

    Read the article

  • script to delete all /n number of lines starting from a word except last line

    - by akvikram
    how to delete all lines below a word except last line in a file. suppose i have a file which contains | 02/04/2010 07:24:20 | 20-24 | 26 | 13 | 2.60 | | 02/04/2010 07:24:25 | 25-29 | 6 | 3 | 0.60 | +---------------------+-------+------------+----------+-------------+ 02-04-2010-07:24 --- ER GW 03 +---------------------+-------+------------+----------+-------------+ | date | sec | BOTH_MO_MT | MO_or_MT | TPS_PER_SEC | +---------------------+-------+------------+----------+-------------+ | 02/04/2010 07:00:00 | 00-04 | 28 | 14 | 2.80 | | 02/04/2010 07:00:05 | 05-09 | 27 | 14 | 2.70 | ... ... ... ... END OF TPS PER 5 REPORT and i need to delete all contents from "02-04-2010-07:24 --- ER GW 03" except "END OF TPS PER 5 REPORT" and save the file. This has to be done for around 700 files. all files are same format, with datemonthday filename.

    Read the article

  • No apparent reason for high load average

    - by Oz.
    We have several web servers running on Amazon (ec2) c1.xlarge, over Amazon AMI. The servers are duplicates of each other, running the exact same hardware and software. Each server spec is: 7 GB of memory 20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each) 1690 GB of instance storage 64-bit platform I/O Performance: High API name: c1.xlarge A couple of weeks ago we have run a yum upgrade on one of the servers. Starting on this upgrade the upgraded server started showing a high load average. Needless to say, we did not update the other servers and we can not do so until we understand the reason for this behavior. The strange thing is that when we compare the servers using top or iostat, we can not find the reason for the high load. Note that we have moved traffic from the "problematic" server to the others, which have made the "problematic" server less crowded in terms of requests, and still his load is higher. Do you have any idea what could it be, or where else can we check? Many thanks for the help! Oz. # # proper server # w command # 00:42:26 up 2 days, 19:54, 2 users, load average: 0.41, 0.48, 0.49 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT pts/1 82.80.137.29 00:28 14:05 0.01s 0.01s -bash pts/2 82.80.137.29 00:38 0.00s 0.02s 0.00s w # # proper server # iostat command # Linux 3.2.12-3.2.4.amzn1.x86_64 _x86_64_ (8 CPU) avg-cpu: %user %nice %system %iowait %steal %idle 9.03 0.02 4.26 0.17 0.13 86.39 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn xvdap1 1.63 1.50 55.00 367236 13444008 xvdfp1 4.41 45.93 70.48 11227226 17228552 xvdfp2 2.61 2.01 59.81 491890 14620104 xvdfp3 8.16 14.47 94.23 3536522 23034376 xvdfp4 0.98 0.79 45.86 192818 11209784 # # problematic server # w command # 00:43:26 up 2 days, 21:52, 2 users, load average: 1.35, 1.10, 1.17 USER TTY FROM LOGIN@ IDLE JCPU PCPU WHAT pts/0 82.80.137.29 00:28 15:04 0.02s 0.02s -bash pts/1 82.80.137.29 00:38 0.00s 0.05s 0.00s w # # problematic server # iostat command # Linux 3.2.20-1.29.6.amzn1.x86_64 _x86_64_ (8 CPU) avg-cpu: %user %nice %system %iowait %steal %idle 7.97 0.04 3.43 0.19 0.07 88.30 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn xvdap1 2.10 1.49 76.54 374660 19253592 xvdfp1 5.64 40.98 85.92 10308946 21612112 xvdfp2 3.97 4.32 93.18 1087090 23439488 xvdfp3 10.87 30.30 115.14 7622474 28961720 xvdfp4 1.12 0.28 65.54 71034 16487112

    Read the article

  • HTTPS/HTTP redirects via .htaccess

    - by Winston
    I have a somehow complicated problem I am trying to solve. I've used the following .htaccess directive to enable some sort of Pretty URLs, and that worked fine. For example, http://myurl.com/shop would be redirected to http://myurl.com/index.php/shop, and that was well working (note that stuff such as myurl.com/css/mycss.css) does not get redirected: RewriteEngine on RewriteCond ${REQUEST_URI} !^(index\.php$) RewriteCond %{SCRIPT_FILENAME} !-f RewriteCond %{SCRIPT_FILENAME} !-d RewriteRule ^/?(.*)$ index.php/$1 [L] But now, as I have introduced SSL to my webpage, I want the following behaviour: I basically want the above behaviour for all pages except admin.php and login.php. Requests to those two pages should be redirected to the HTTPS part, whereas all other requests should be processed as specified above. I have come up with the following .htaccess, but it does not work. h*tps://myurl.com/shop does not get redirected to h*tp://myurl.com/index.php/shop, and h*tp://myurl.com/admin.php does not get redirected to h*tps://myurl.com/admin.php. RewriteEngine on RewriteCond %{HTTPS} on RewriteCond %{REQUEST_URI} !^(admin\.php$|login\.php$) RewriteRule ^(.*)$ http://%{HTTP_HOST}/${REQUEST_URI} [R=301,L] RewriteCond %{HTTPS} off RewriteCond %{REQUEST_URI} ^(admin\.php$|login\.php$) RewriteRule ^(.*)$ https://myurl.com/%{REQUEST_URI} [R=301,L] RewriteCond %{REQUEST_URI} !^(index\.php$) RewriteCond %{SCRIPT_FILENAME} !-f RewriteCond %{SCRIPT_FILENAME} !-d RewriteRule ^/?(.*)$ index.php/$1 [L] I know it has something to do with rules overwriting each other, but I am not sure since my knowledge of Apache is quite limited. How could I fix this apparently not that difficult problem, and how could I make my .htaccess more compact and elegant? Help is very much appreciated, thank you!

    Read the article

  • "iostat" command different in two equal machines

    - by Oz.
    We have several machines on Amazon (ec2) of the type c1.xlarge with 8 cpus, running the Amazon AMI. Details on the machine: 7 GB of memory 20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each) 1690 GB of instance storage 64-bit platform I/O Performance: High API name: c1.xlarge One out of the several machines is showing a high load average, since we have run the last yum upgrade a couple of weeks a go. We did not yet update the other machines, and everything looks normal on them. The strange thing is that the top command not showing any hint for the cause of the load. CPUs are - 4.8%us, 1.1%sy, 0.0%ni, 94.1%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st. Mem is about 1.5GB free. Any idea what could it be, or where else can we check? iostat command on the proper machine: avg-cpu: %user %nice %system %iowait %steal %idle 8.97 0.03 4.46 0.19 0.14 86.23 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn xvdap1 1.60 0.69 55.38 587620 47254184 xvdfp2 2.64 1.10 61.04 934786 52091056 xvdfp4 0.86 0.19 41.72 163866 35601920 xvdfp1 4.37 36.59 73.89 31220810 63051504 xvdfp3 8.03 7.08 94.63 6045402 80749184 iostat command on problematic machine: avg-cpu: %user %nice %system %iowait %steal %idle 9.29 0.04 5.55 0.26 0.11 84.74 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn xvdap1 2.13 3.34 68.85 246244 5077888 xvdfp1 7.60 74.31 104.88 5480362 7734840 xvdfp3 13.22 73.67 125.00 5433386 9218600 xvdfp4 1.11 0.76 65.08 55762 4799248 xvdfp2 4.16 3.31 99.17 243818 7313264 Many thanks for the help.

    Read the article

  • One Apache server, multiple clients - best practices for config files?

    - by OttaSean
    First time user; please be gentle. :-) (And if you don't like my question I'd be grateful for a comment as to why...) I am doing a contract at a government server shop that provides web services for multiple client groups in other areas of the government. My employer has asked me to look into how other shops, in similar situations, handle configuration files, and whether there are any best practices on the subject. I'm pretty sure there are lots of installations out there running multiple VirtualHosts out of one Apache installation, but surprisingly I couldn't find anything online about how people handle config file layout, so was hoping some of you wise folks on ServerFault might have some thoughts or pointers for me. The current setup - which seems logical to me - is that each client site has its own directory off the root - so: /client/tps-reports/ /client/silly-walks/ /client/ministry-of-magic/ and so on - and each of those directories has a /htdocs, /cgi-bin, and /conf (among others). The main /etc/apache/httpd.conf only contains Include statements (and lots of comments), the last of which is: Include /etc/apache/vhosts/*.conf The vhosts directory contains symlinks: tpsrept.conf - /client/tps-reports/conf/tpsrept.conf sillywk.conf - /client/silly-walks/conf/sillywk.conf mom.conf - /client/ministry-of-magic/mom.conf Each of those .conf files contains the actual NameVirtualHost definition and a gigantic <VirtualHost 192.168.12.34> stanza - which contains all the stuff about the specific site. The idea is that clients have access to what's in their own /client/xx directory, so they can change stuff in the section of the config that is relevant to them. As I mentioned above, that seems fairly logical to me, but I'm wondering if any of you wise folks are aware of potential gotchas with this sort of layout, or any other thoughts on why it is or isn't a good idea. In particular, how do other places do it? Is there a "best practice" for this sort of thing? Many thanks in advance for your time and any thoughts you all might have.

    Read the article

  • assembly of pdp-11(simulator)

    - by lego69
    I have this code on pdp-11 tks = 177560 tkb = 177562 tps = 177564 tpb = 177566 lcs = 177546 . = torg + 2000 main: mov #main, sp mov #kb_int, @#60 mov #200, @#62 mov #101, @#tks mov #clock, @#100 mov #300, @#102 mov #100, @#lcs loop: mov @#tks,r2 aslb r2 bmi loop halt clock: tst bufferg beq clk_end mov #msg,-(sp) jsr pc, print_str tst (sp)+ clr bufferg bic #100,@#tks clr @#lcs clk_end:rti kb_int: mov r1,-(sp) jsr pc, read_char movb r1,@buff_ptr inc buff_ptr bis #1,@#tks cmpb r1,#'q bne next_if mov #0, @#tks next_if:cmpb r1,#32. bne end_kb_int clrb @buff_ptr mov #buffer,-(sp) jsr pc, print_str tst (sp)+ mov #buffer,buff_ptr end_kb_int: mov (sp)+,r1 rti ;############################# read_char: tstb @#tks bpl read_char movb @#tkb, r1 rts pc ;############################# print_char: tstb @#tps bpl print_char movb r1, @#tpb rts pc ;############################# print_str: mov r1,-(sp) mov r2,-(sp) mov 6(sp),r2 str_loop: movb (r2)+,r1 beq pr_str_end jsr pc, print_char br str_loop pr_str_end: mov (sp)+,r2 mov (sp)+,r1 rts pc . = torg + 3000 msg:.ascii<Something is wrong!> .byte 0 .even buff_ptr: .word buffer buffer: .blkw 3 bufferg: .word 0 Can somebody please explain how this part is working, thanks in advance movb r1,@buff_ptr inc buff_ptr bis #1,@#tks cmpb r1,#'q bne next_if mov #0, @#tks next_if:cmpb r1,#32. bne end_kb_int clrb @buff_ptr mov #buffer,-(sp) jsr pc, print_str tst (sp)+ mov #buffer,buff_ptr

    Read the article

  • What iowait values are ok?

    - by alfish
    I am trying to find the bottleneck of a server running a fairly busy php/mysql site. My first culprit was io but iostat shows that on average iowait consumes only %3.60 of cpu time. here is the complete result of issuing iostat: avg-cpu: %user %nice %system %iowait %steal %idle 65.78 0.00 8.52 3.60 0.00 22.10 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 42.36 138.28 1754.70 408630278 5185216128 So I am wondering if the iowait is within acceptable range, and if not, whether switching from SATA to SSD would dramatically reduce it?

    Read the article

  • can someone explain IOSTAT ouput?

    - by user37197
    i'am having IBM server with Redhat 5 ElsmP connected to the IBM Storage over iSCSI (in sdb ) can someone explain this output from iostat command avg-cpu: %user %nice %system %iowait %steal %idle 12.79 0.01 4.53 72.22 0.00 10.45 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn sda 95.63 48.88 240.95 485589164 2393706728 sdb 29.20 350.49 402.08 3481983365 3994494696 move large file to sdb very slowly,it seem normaly?

    Read the article

  • How to monitor IO svctm with every 5 mins frequency using nagios?

    - by sabya
    I want to collect samples of iostat's svctm, await every 5 mins from all of my servers and store them in nagios. I want to get the values for what is happening in every 5 minutes (not since boot time, iostat's first output gives values since boot time). How can I do it in nagios? EDIT The tps should NOT be calculated #of transactions happened since reboot divided by uptime. What I want is # of transferred happened in last X mins divided X*60.

    Read the article

  • Fundtech’s Global PAYplus Achieves Oracle Exadata and Oracle Exalogic Optimized Status

    - by Javier Puerta
    Fundtech, a leader in global transaction banking solutions, has announced  that Global PAYplus® – Services Platform (GPP-SP) version 4 has achieved Oracle Exadata Optimized and Oracle Exalogic Optimized status. (Read full announcement here) "GPP-SP testing was done in the third quarter of 2012 in the Oracle Exastack Lab located in the Oracle Solution Center in Linlithgow, Scotland. It showed that an integrated solution can result in a highly streamlined installation, enabling reduced cost of evaluation, acquisition and ownership. Highlights of the transaction processing test are as follows: 9.3 million Mass Payments per hour 5.7 million Single Payments per hour The test found that the optimized combination of GPP-SP running on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud is able to increase transactions per second (TPS) output per core, and able to reduce total cost of ownership (TCO). The volumes achieved were using only 25% of Exadata/Exalogic processing capacity".

    Read the article

  • How do I install graphviz 2.29 in 12.04?

    - by bidur
    In my ubuntu 12.04, the graphviz is not the latest version(2.29). I need some features available in the latest version of graphviz. I tried to install the graphviz version 2.29, which requires libgraphviz4(=2.18). I anyhow installed libgraphviz4 and installed graphviz 2.29. For that I have to remove packages libcdt4 and libpathplan4. Now whenever I try to generate graph, I get some problems: For e.g.: dot -Kfdp -n -Tpng -o samplePOS.png forcePOS.dot It says: dot: error while loading shared libraries: libgvc.so.6: cannot open shared object file: No such file or directory neato -Tps -o sample_1.ps sourcedot.gv It says: neato: error while loading shared libraries: libgvc.so.6: cannot open shared object file: No such file or directory So, I am looking for some ways so that I can run graphviz 2.29 in my ubuntu 12.04.

    Read the article

1 2 3  | Next Page >