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  • More than 100,000 articles !

    - by developerit
    In one month, we already got more than 100,000, and we continue to crawl! We plan on hitting 250,000 total articles next month. Due to the large amount of data we are gathering, we are planning on updating our SQL stored procedure to improve performance. We may be migrating to SQL Server 2008 Entreprise, as we are currently running on SQL Server 2005 Express Edition… We are at 400 Mb of data, getting more and more close to the 2 Gb limit. Stay tune for more info and browse daily fresh articles about web development.

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  • 100,000 complex structures that are accessed frequently by 100,000 users

    - by Saad
    If you are required to store 100,000 complex structures that are accessed frequently by 100,000 users, which of the following solutions would you use and why? Memcached, In-code python objects, Redis, or a relational database (MySQL). With the little knowledge that I have I think that memcached and In-code python object will not store permanent persistent data. so they don't qualify as the right answer for such a problem. And for complex data structures its best to use Redis. Please correct me if I am wrong.

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  • How do I export a large table into 50 smaller csv files of 100,000 records each

    - by Eddie
    I am trying to export one field from a very large table - containing 5,000,000 records, for example - into a csv list - but not all together, rather, 100,000 records into each .csv file created - without duplication. How can I do this, please? I tried SELECT field_name FROM table_name WHERE certain_conditions_are_met INTO OUTFILE /tmp/name_of_export_file_for_first_100000_records.csv LINES TERMINATED BY '\n' LIMIT 0 , 100000 that gives the first 100000 records, but nothing I do has the other 4,900,000 records exported into 49 other files - and how do I specify the other 49 filenames? for example, I tried the following, but the SQL syntax is wrong: SELECT field_name FROM table_name WHERE certain_conditions_are_met INTO OUTFILE /home/user/Eddie/name_of_export_file_for_first_100000_records.csv LINES TERMINATED BY '\n' LIMIT 0 , 100000 INTO OUTFILE /home/user/Eddie/name_of_export_file_for_second_100000_records.csv LINES TERMINATED BY '\n' LIMIT 100001 , 200000 and that did not create the second file... what am I doing wrong, please, and is there a better way to do this? Should the LIMIT 0 , 100000 be put Before the first INTO OUTFILE statement, and then repeat the entire command from SELECT for the second 100,000 records, etc? Thanks for any help. Eddie

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  • Tour the Cosmos with 100,000 Stars

    - by Jason Fitzpatrick
    The newest Google Chrome Experiment, 100,000 Stars, combines web technologies to serve up a 3D star map you can manually zoom about or sit back and enjoy a star tour. From the automated tour that explores the Milky Way with an ever increasing scale to manually moving about the cloud of stars using the zoom and pan feature, the interactive map makes it easy to explore the 100,000 closest stars to our Sun in style. Hit up the link to take it for a spin. 100,000 Stars [Google Chrome Experiments] Why Your Android Phone Isn’t Getting Operating System Updates and What You Can Do About It How To Delete, Move, or Rename Locked Files in Windows HTG Explains: Why Screen Savers Are No Longer Necessary

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  • A query for date within a year

    - by Fabiano PS
    My table is like this on Postgres, note that all days start by 01, there is only 1 entry a month+year SELECT * FROM "fis_historico_receita" +----+------------+---------------+ | id | data | receita_bruta | +----+------------+---------------+ | 1 | 2010-02-01 | 100000.0 | | 2 | 2010-01-01 | 100000.0 | | 3 | 2009-12-01 | 100000.0 | | 4 | 2009-11-01 | 100000.0 | | 5 | 2009-10-01 | 100000.0 | | 6 | 2009-09-01 | 100000.0 | | 7 | 2009-08-01 | 100000.0 | | 8 | 2009-07-01 | 100000.0 | | 9 | 2009-06-01 | 100000.0 | | 10 | 2009-05-01 | 100000.0 | | 11 | 2009-04-01 | 100000.0 | | 12 | 2009-03-01 | 100000.0 | | 13 | 2009-02-01 | 100000.0 | | 14 | 2009-01-01 | 100000.0 | | 15 | 2008-12-01 | 100000.0 | +----+------------+---------------+ What I want is to find 12 months starting right from before the current. I tried this: select * from fis_historico_receita where data in interval '1 year' I really would like an answer using Interval, +1 goes for everyone that runs on Postgres

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  • Reading and conditionally updating N rows, where N > 100,000 for DNA Sequence processing

    - by makerofthings7
    I have a proof of concept application that uses Azure tables to associate DNA sequences to "something". Table 1 is the master table. It uniquely lists every DNA sequence. The PK is a load balanced hash of the RK. The RK is the unique encoded value of the DNA sequence. Additional tables are created per subject. Each subject has a list of N DNA sequences that have one reference in the Master table, where N is 100,000. It is possible for many tables to reference the same DNA sequence, but in this case only one entry will be present in the Master table. My Azure dilemma: I need to lock the reference in the Master table as I work with the data. I need to handle timeouts, and prevent other threads from overwriting my data as one C# thread is working with the information. Other threads need to realise that this is locked, and move onto other unlocked records and do the work. Ideally I'd like to get some progress report of how my computation is going, and have the option to cancel the process (and unwind the locks). Question What is the best approach for this? I'm looking at these code snippets for inspiration: http://blogs.msdn.com/b/jimoneil/archive/2010/10/05/azure-home-part-7-asynchronous-table-storage-pagination.aspx http://stackoverflow.com/q/4535740/328397

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  • Listen to Over 100,000 Radio Stations in Windows Media Center

    - by Mysticgeek
    A cool feature in Windows 7 Media Center is the ability to listen to local FM radio. But what if you don’t have a tuner card that supports a connected radio antenna? The RadioTime plugin solves the problem by allowing access to thousands of online radio stations. With the RadioTime plugin for Windows Media Center, you’ll have access to over 100,000 online radio stations from around the world. Their guide is broken down into different categories such as Talk Radio, Music Radio, Sports Radio and more. It’s completely free, but does require registration to save preset stations. RadioTime It works with Media Center in XP, Vista, and Windows 7 (which we’re demonstrating here). When installing it for Windows 7, make sure to click the Installer link below the “Get It Now – Free” button as the installer works best for the new OS. Installation is extremely quick and easy… Now when you open Windows 7 Media Center you’ll find it located in the Extras category from the main menu. After you launch it, you’re presented with the RadioTime guide where you can browse through the different categories of stations. Your shown various station suggestions each time you start it up. The main categories are broken down further so you can find the right genre of the music your looking for.   World Radio offers you stations from all over the world categorized into different regions. RadioTime does support local stations via an FM tuner, but if you don’t have one, you can still access local stations provided they broadcast online. One thing about listening to your local stations online is the audio quality may not be as good as if you had a tuner connected. It provides information on most of the online stations. For example here we look at Minnesota Public Radio info and you get a schedule of when certain programs are on. Then get even more information about the topics on the shows. To use the Presets option you’ll need to log into your RadioTime account, or if you don’t have one just click on the link to create a free one.   Creating a free account is simple and basic on their site. You aren’t required to have an account to use the RadioTime plugin, it’s only if you want the additional benefits. Conclusion For this article we only tried it with Windows 7 Media Center, and sometimes the interface felt clunky when moving quickly through menus. Also, there isn’t a search feature from within Media Center, however, you can search stations from their site and add them to your presets. Despite a few shortcomings, this is a very cool way to get access to thousands of online radio stations through Windows Media Center. If you’re looking for a way to access thousands of radio stations through WMC, you might want to give RadioTime a try. Download RadioTime for Windows Media Center Similar Articles Productive Geek Tips Listen To XM Radio with Windows Media Center in Windows 7Listen and Record Over 12,000 Online Radio Stations with RadioSureUsing Netflix Watchnow in Windows Vista Media Center (Gmedia)Learning Windows 7: Manage Your Music with Windows Media PlayerSchedule Updates for Windows Media Center TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 PCmover Professional Windows Media Player 12: Tweak Video & Sound with Playback Enhancements Own a cell phone, or does a cell phone own you? Make your Joomla & Drupal Sites Mobile with OSMOBI Integrate Twitter and Delicious and Make Life Easier Design Your Web Pages Using the Golden Ratio Worldwide Growth of the Internet

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  • How will I support 100,000 requests an hour?!

    - by tylerl
    I know this question is a little strange but I got lucky with an idea and I need some numbers to use for when I try to make a deal with a company. I'm wondering how much it'll cost me to run a site that's heavy on PHP and gets between 70,000 and 100,000 requests an hour on something like Rackspace's Cloud Servers. I have no idea how many servers I need or how much RAM each one should have. There will be a decent number of images on the site (probably something like 10,000 in the first couple weeks) and the site runs on about 2,500 lines of PHP code. I figure I should sign up for a CDN of some kind, although CDN In A Box is all I've heard of and I'm not sure it's necessary for a site that's already on a cloud platform. I've obviously never done anything like this before so I'm just looking to get an estimation of what I need for this massive site... Also, I use a database and I was wondering how that works - would I dedicate one of the cloud servers to running the database or would I need to put the database into each of the cloud servers? Thanks in advance...

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  • NFS Mounts Issues

    - by user554005
    Having some issue with a NFS Setup on the clients it just times out refuses to connect [root@host9 ~]# mount 192.168.0.17:/home/export /mnt/export mount: mount to NFS server '192.168.0.17' failed: timed out (retrying). mount: mount to NFS server '192.168.0.17' failed: timed out (retrying). mount: mount to NFS server '192.168.0.17' failed: timed out (retrying). mount: mount to NFS server '192.168.0.17' failed: timed out (retrying). Here are the settings I'm using: [root@host17 /home/export]# cat /etc/hosts.allow # # hosts.allow This file contains access rules which are used to # allow or deny connections to network services that # either use the tcp_wrappers library or that have been # started through a tcp_wrappers-enabled xinetd. # # See 'man 5 hosts_options' and 'man 5 hosts_access' # for information on rule syntax. # See 'man tcpd' for information on tcp_wrappers # portmap: 192.168.0.0/255.255.255.0 lockd: 192.168.0.0/255.255.255.0 rquotad: 192.168.0.0/255.255.255.0 mountd: 192.168.0.0/255.255.255.0 statd: 192.168.0.0/255.255.255.0 [root@host17 /home/export]# cat /etc/hosts.deny # # hosts.deny This file contains access rules which are used to # deny connections to network services that either use # the tcp_wrappers library or that have been # started through a tcp_wrappers-enabled xinetd. # # The rules in this file can also be set up in # /etc/hosts.allow with a 'deny' option instead. # # See 'man 5 hosts_options' and 'man 5 hosts_access' # for information on rule syntax. # See 'man tcpd' for information on tcp_wrappers # portmap:ALL lockd:ALL mountd:ALL rquotad:ALL statd:ALL [root@host17 /home/export]# cat /etc/exports /home/export 192.168.0.0/255.255.255.0(rw) [root@host17 /home/export]# iptables -L Chain INPUT (policy ACCEPT) target prot opt source destination RH-Firewall-1-INPUT all -- anywhere anywhere Chain FORWARD (policy ACCEPT) target prot opt source destination RH-Firewall-1-INPUT all -- anywhere anywhere Chain OUTPUT (policy ACCEPT) target prot opt source destination Chain RH-Firewall-1-INPUT (2 references) target prot opt source destination ACCEPT all -- anywhere anywhere ACCEPT icmp -- anywhere anywhere icmp any ACCEPT esp -- anywhere anywhere ACCEPT ah -- anywhere anywhere ACCEPT udp -- anywhere 224.0.0.251 udp dpt:mdns ACCEPT udp -- anywhere anywhere udp dpt:ipp ACCEPT tcp -- anywhere anywhere tcp dpt:ipp ACCEPT all -- anywhere anywhere state RELATED,ESTABLISHED ACCEPT tcp -- anywhere anywhere state NEW tcp dpt:ssh ACCEPT tcp -- anywhere anywhere state NEW tcp dpt:http ACCEPT tcp -- anywhere anywhere state NEW tcp dpt:https ACCEPT tcp -- anywhere anywhere state NEW tcp dpt:6379 ACCEPT udp -- 192.168.0.0/24 anywhere state NEW udp dpt:sunrpc ACCEPT tcp -- 192.168.0.0/24 anywhere state NEW tcp dpt:sunrpc ACCEPT tcp -- 192.168.0.0/24 anywhere state NEW tcp dpt:nfs ACCEPT tcp -- 192.168.0.0/24 anywhere state NEW tcp dpt:32803 ACCEPT udp -- 192.168.0.0/24 anywhere state NEW udp dpt:filenet-rpc ACCEPT tcp -- 192.168.0.0/24 anywhere state NEW tcp dpt:892 ACCEPT udp -- 192.168.0.0/24 anywhere state NEW udp dpt:892 ACCEPT tcp -- 192.168.0.0/24 anywhere state NEW tcp dpt:rquotad ACCEPT udp -- 192.168.0.0/24 anywhere state NEW udp dpt:rquotad ACCEPT tcp -- 192.168.0.0/24 anywhere state NEW tcp dpt:pftp ACCEPT udp -- 192.168.0.0/24 anywhere state NEW udp dpt:pftp REJECT all -- anywhere anywhere reject-with icmp-host-prohibited on the clients here is some rpcinfos [root@host9 ~]# rpcinfo -p 192.168.0.17 program vers proto port 100000 4 tcp 111 portmapper 100000 3 tcp 111 portmapper 100000 2 tcp 111 portmapper 100000 4 udp 111 portmapper 100000 3 udp 111 portmapper 100000 2 udp 111 portmapper 100011 1 udp 875 rquotad 100011 2 udp 875 rquotad 100011 1 tcp 875 rquotad 100011 2 tcp 875 rquotad 100005 1 udp 45857 mountd 100005 1 tcp 55772 mountd 100005 2 udp 34021 mountd 100005 2 tcp 59542 mountd 100005 3 udp 60930 mountd 100005 3 tcp 53086 mountd 100003 2 udp 2049 nfs 100003 3 udp 2049 nfs 100003 4 udp 2049 nfs 100227 2 udp 2049 nfs_acl 100227 3 udp 2049 nfs_acl 100003 2 tcp 2049 nfs 100003 3 tcp 2049 nfs 100003 4 tcp 2049 nfs 100227 2 tcp 2049 nfs_acl 100227 3 tcp 2049 nfs_acl 100021 1 udp 59832 nlockmgr 100021 3 udp 59832 nlockmgr 100021 4 udp 59832 nlockmgr 100021 1 tcp 36140 nlockmgr 100021 3 tcp 36140 nlockmgr 100021 4 tcp 36140 nlockmgr 100024 1 udp 46494 status 100024 1 tcp 49672 status [root@host9 ~]# [root@host9 ~]# rpcinfo -u 192.168.0.17 nfs rpcinfo: RPC: Timed out program 100003 version 0 is not available [root@host9 ~]# rpcinfo -u 192.168.0.17 portmap program 100000 version 2 ready and waiting program 100000 version 3 ready and waiting program 100000 version 4 ready and waiting [root@host9 ~]# rpcinfo -u 192.168.0.17 mount rpcinfo: RPC: Timed out program 100005 version 0 is not available [root@host9 ~]# I'm running CentOS 5.8 on all systems

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  • NFS issue: clients can mount shares as NFSv3 but not as NFSv4 -- or how to debug NFS?

    - by tdn
    Problem description I have a file server running Debian. On it I have a few NFS shares. When I mount the shares from a client using NFSv3 (mount.nfs 10.0.0.51:/exports/video /mnt -o vers=3,soft,intr,timeo=10), it works. However, I would like to use NFSv4 because of improved security and performance. When I try to mount an NFSv4 share on malbec the mount command just hangs and finally times out after 2 minutes. How do I make the clients mount the NFSv4 shares as NFSv4? How do I troubleshoot NFS? There is no information in the syslog on neither client nor server. What are any errors in my configuration? Facts: Server is corvina(10.0.0.51) Client is malbec(10.0.0.1) Malbec runs Ubuntu 12.04 Server runs Debian 7 wheezy Both are connected through 1 GbE LAN. Firewalls are off. rpcinfo (root@malbec) (13-07-02 21:00) (P:0 L:1) [0] ~ # rpcinfo -p program vers proto port service 100000 4 tcp 111 portmapper 100000 3 tcp 111 portmapper 100000 2 tcp 111 portmapper 100000 4 udp 111 portmapper 100000 3 udp 111 portmapper 100000 2 udp 111 portmapper 100024 1 udp 4000 status 100024 1 tcp 4000 status (root@malbec) (13-07-02 21:00) (P:0 L:1) [0] ~ # rpcinfo -p corvina program vers proto port service 100000 4 tcp 111 portmapper 100000 3 tcp 111 portmapper 100000 2 tcp 111 portmapper 100000 4 udp 111 portmapper 100000 3 udp 111 portmapper 100000 2 udp 111 portmapper 100024 1 udp 4000 status 100024 1 tcp 4000 status 100003 3 udp 2049 nfs 100227 3 udp 2049 100021 1 udp 4003 nlockmgr 100021 3 udp 4003 nlockmgr 100021 4 udp 4003 nlockmgr 100021 1 tcp 4003 nlockmgr 100021 3 tcp 4003 nlockmgr 100021 4 tcp 4003 nlockmgr 100005 1 udp 4002 mountd 100005 1 tcp 4002 mountd 100005 2 udp 4002 mountd 100005 2 tcp 4002 mountd 100005 3 udp 4002 mountd 100005 3 tcp 4002 mountd tcpdump The following is output from tcpdump on malbec while running this command: # rpcinfo -p corvina ~ # tcpdump -i eth0 host 10.0.0.51 21:14:51.762083 IP malbec.vineyard.sikkerhed.org.948 > corvina.vineyard.sikkerhed.org.sunrpc: Flags [S], seq 3069120722, win 14600, options [mss 1460,sackOK,TS val 146111 ecr 0,nop,wscale 7], length 0 21:14:51.762431 IP corvina.vineyard.sikkerhed.org.sunrpc > malbec.vineyard.sikkerhed.org.948: Flags [S.], seq 770684199, ack 3069120723, win 14480, options [mss 1460,sackOK,TS val 398850 ecr 146111,nop,wscale 7], length 0 21:14:51.762458 IP malbec.vineyard.sikkerhed.org.948 > corvina.vineyard.sikkerhed.org.sunrpc: Flags [.], ack 1, win 115, options [nop,nop,TS val 146111 ecr 398850], length 0 21:14:51.762556 IP malbec.vineyard.sikkerhed.org.948 > corvina.vineyard.sikkerhed.org.sunrpc: Flags [P.], seq 1:45, ack 1, win 115, options [nop,nop,TS val 146111 ecr 398850], length 44 21:14:51.762710 IP corvina.vineyard.sikkerhed.org.sunrpc > malbec.vineyard.sikkerhed.org.948: Flags [.], ack 45, win 114, options [nop,nop,TS val 398850 ecr 146111], length 0 21:14:51.763282 IP corvina.vineyard.sikkerhed.org.sunrpc > malbec.vineyard.sikkerhed.org.948: Flags [P.], seq 1:473, ack 45, win 114, options [nop,nop,TS val 398850 ecr 146111], length 472 21:14:51.763302 IP malbec.vineyard.sikkerhed.org.948 > corvina.vineyard.sikkerhed.org.sunrpc: Flags [.], ack 473, win 123, options [nop,nop,TS val 146111 ecr 398850], length 0 21:14:51.764059 IP malbec.vineyard.sikkerhed.org.948 > corvina.vineyard.sikkerhed.org.sunrpc: Flags [F.], seq 45, ack 473, win 123, options [nop,nop,TS val 146111 ecr 398850], length 0 21:14:51.764454 IP corvina.vineyard.sikkerhed.org.sunrpc > malbec.vineyard.sikkerhed.org.948: Flags [F.], seq 473, ack 46, win 114, options [nop,nop,TS val 398850 ecr 146111], length 0 21:14:51.764478 IP malbec.vineyard.sikkerhed.org.948 > corvina.vineyard.sikkerhed.org.sunrpc: Flags [.], ack 474, win 123, options [nop,nop,TS val 146111 ecr 398850], length 0 The following is output from tcpdump on malbec while runing this command: ~ # time mount.nfs4 10.0.0.51:/ /mnt -o soft,intr,timeo=10 21:14:58.397327 IP malbec.vineyard.sikkerhed.org.872 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 1298959870, win 14600, options [mss 1460,sackOK,TS val 147769 ecr 0,nop,wscale 7], length 0 21:14:58.397655 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.872: Flags [R.], seq 0, ack 1298959871, win 0, length 0 21:14:59.470270 IP malbec.vineyard.sikkerhed.org.854 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 4111013041, win 14600, options [mss 1460,sackOK,TS val 148038 ecr 0,nop,wscale 7], length 0 21:14:59.470569 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.854: Flags [R.], seq 0, ack 4111013042, win 0, length 0 21:15:01.506179 IP malbec.vineyard.sikkerhed.org.988 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 1642454567, win 14600, options [mss 1460,sackOK,TS val 148547 ecr 0,nop,wscale 7], length 0 21:15:01.506514 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.988: Flags [R.], seq 0, ack 1642454568, win 0, length 0 21:15:05.542216 IP malbec.vineyard.sikkerhed.org.882 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 3844460520, win 14600, options [mss 1460,sackOK,TS val 149556 ecr 0,nop,wscale 7], length 0 21:15:05.542484 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.882: Flags [R.], seq 0, ack 3844460521, win 0, length 0 21:15:13.602228 IP malbec.vineyard.sikkerhed.org.969 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 1317773588, win 14600, options [mss 1460,sackOK,TS val 151571 ecr 0,nop,wscale 7], length 0 21:15:13.602527 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.969: Flags [R.], seq 0, ack 1317773589, win 0, length 0 21:15:18.615027 ARP, Request who-has malbec.vineyard.sikkerhed.org tell corvina.vineyard.sikkerhed.org, length 46 21:15:18.615048 ARP, Reply malbec.vineyard.sikkerhed.org is-at cc:52:af:46:af:23 (oui Unknown), length 28 21:15:23.622223 IP malbec.vineyard.sikkerhed.org.1003 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 2896563167, win 14600, options [mss 1460,sackOK,TS val 154076 ecr 0,nop,wscale 7], length 0 21:15:23.622557 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.1003: Flags [R.], seq 0, ack 2896563168, win 0, length 0 21:15:28.629913 ARP, Request who-has corvina.vineyard.sikkerhed.org tell malbec.vineyard.sikkerhed.org, length 28 21:15:28.630223 ARP, Reply corvina.vineyard.sikkerhed.org is-at 00:9c:02:ab:db:54 (oui Unknown), length 46 21:15:33.662200 IP malbec.vineyard.sikkerhed.org.727 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 1334644196, win 14600, options [mss 1460,sackOK,TS val 156586 ecr 0,nop,wscale 7], length 0 21:15:33.663657 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.727: Flags [R.], seq 0, ack 1334644197, win 0, length 0 21:15:43.698207 IP malbec.vineyard.sikkerhed.org.rsync > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 688828331, win 14600, options [mss 1460,sackOK,TS val 159095 ecr 0,nop,wscale 7], length 0 21:15:43.698541 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.rsync: Flags [R.], seq 0, ack 688828332, win 0, length 0 21:15:48.707710 ARP, Request who-has malbec.vineyard.sikkerhed.org tell corvina.vineyard.sikkerhed.org, length 46 21:15:48.707726 ARP, Reply malbec.vineyard.sikkerhed.org is-at cc:52:af:46:af:23 (oui Unknown), length 28 21:15:53.738188 IP malbec.vineyard.sikkerhed.org.946 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 2021272456, win 14600, options [mss 1460,sackOK,TS val 161605 ecr 0,nop,wscale 7], length 0 21:15:53.738519 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.946: Flags [R.], seq 0, ack 2021272457, win 0, length 0 21:16:03.806216 IP malbec.vineyard.sikkerhed.org.902 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 3889059201, win 14600, options [mss 1460,sackOK,TS val 164122 ecr 0,nop,wscale 7], length 0 21:16:03.806546 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.902: Flags [R.], seq 0, ack 3889059202, win 0, length 0 21:16:08.821900 ARP, Request who-has corvina.vineyard.sikkerhed.org tell malbec.vineyard.sikkerhed.org, length 28 21:16:08.822172 ARP, Reply corvina.vineyard.sikkerhed.org is-at 00:9c:02:ab:db:54 (oui Unknown), length 46 21:16:13.874209 IP malbec.vineyard.sikkerhed.org.712 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 1480927452, win 14600, options [mss 1460,sackOK,TS val 166639 ecr 0,nop,wscale 7], length 0 21:16:13.874553 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.712: Flags [R.], seq 0, ack 1961062188, win 0, length 0 21:16:18.880588 ARP, Request who-has malbec.vineyard.sikkerhed.org tell corvina.vineyard.sikkerhed.org, length 46 21:16:18.880605 ARP, Reply malbec.vineyard.sikkerhed.org is-at cc:52:af:46:af:23 (oui Unknown), length 28 21:16:23.910209 IP malbec.vineyard.sikkerhed.org.758 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 1375860626, win 14600, options [mss 1460,sackOK,TS val 169148 ecr 0,nop,wscale 7], length 0 21:16:23.910532 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.758: Flags [R.], seq 0, ack 1375860627, win 0, length 0 21:16:33.982258 IP malbec.vineyard.sikkerhed.org.694 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 1769203987, win 14600, options [mss 1460,sackOK,TS val 171666 ecr 0,nop,wscale 7], length 0 21:16:33.982579 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.694: Flags [R.], seq 0, ack 1769203988, win 0, length 0 21:16:44.026241 IP malbec.vineyard.sikkerhed.org.841 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 530553783, win 14600, options [mss 1460,sackOK,TS val 174177 ecr 0,nop,wscale 7], length 0 21:16:44.026505 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.841: Flags [R.], seq 0, ack 530553784, win 0, length 0 21:16:46.213388 IP malbec.vineyard.sikkerhed.org.43460 > corvina.vineyard.sikkerhed.org.ssh: Flags [P.], seq 64:128, ack 33, win 325, options [nop,nop,TS val 174723 ecr 397437], length 64 21:16:46.213859 IP corvina.vineyard.sikkerhed.org.ssh > malbec.vineyard.sikkerhed.org.43460: Flags [P.], seq 33:65, ack 128, win 199, options [nop,nop,TS val 427466 ecr 174723], length 32 21:16:46.213883 IP malbec.vineyard.sikkerhed.org.43460 > corvina.vineyard.sikkerhed.org.ssh: Flags [.], ack 65, win 325, options [nop,nop,TS val 174723 ecr 427466], length 0 21:16:54.094242 IP malbec.vineyard.sikkerhed.org.kerberos-master > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 2673083337, win 14600, options [mss 1460,sackOK,TS val 176694 ecr 0,nop,wscale 7], length 0 21:16:54.094568 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.kerberos-master: Flags [R.], seq 0, ack 2673083338, win 0, length 0 21:17:04.134227 IP malbec.vineyard.sikkerhed.org.1019 > corvina.vineyard.sikkerhed.org.nfs: Flags [S], seq 2176607713, win 14600, options [mss 1460,sackOK,TS val 179204 ecr 0,nop,wscale 7], length 0 21:17:04.134566 IP corvina.vineyard.sikkerhed.org.nfs > malbec.vineyard.sikkerhed.org.1019: Flags [R.], seq 0, ack 2176607714, win 0, length 0 21:18:46.314021 IP malbec.vineyard.sikkerhed.org.43460 > corvina.vineyard.sikkerhed.org.ssh: Flags [P.], seq 128:192, ack 65, win 325, options [nop,nop,TS val 204749 ecr 427466], length 64 21:18:46.314462 IP corvina.vineyard.sikkerhed.org.ssh > malbec.vineyard.sikkerhed.org.43460: Flags [P.], seq 65:97, ack 192, win 199, options [nop,nop,TS val 457494 ecr 204749], length 32 21:18:46.314482 IP malbec.vineyard.sikkerhed.org.43460 > corvina.vineyard.sikkerhed.org.ssh: Flags [.], ack 97, win 325, options [nop,nop,TS val 204749 ecr 457494], length 0 21:18:51.317908 ARP, Request who-has corvina.vineyard.sikkerhed.org tell malbec.vineyard.sikkerhed.org, length 28 21:18:51.318177 ARP, Reply corvina.vineyard.sikkerhed.org is-at 00:9c:02:ab:db:54 (oui Unknown), length 46 mount command outputs mount.nfs4: Connection timed out mount.nfs4 10.0.0.51:/ /mnt -o soft,intr,timeo=10 0,00s user 0,00s system 0% cpu 2:05,80 total Returncode is 32 Server configuration I have enabled idmapd by adding NEED_IDMAPD=yes in /etc/default/nfs-common. Bind mounts in /etc/fstab: # nfs-audio /data/audio /exports/audio none bind 0 0 # nfs-clear /data/clear /exports/clear none bind 0 0 # nfs-video /data/video /exports/video none bind 0 0 /etc/exports: /exports 10.0.0.0/255.255.255.0(rw,no_root_squash,no_subtree_check,fsid=0,crossmnt) /exports/video 10.0.0.0/255.255.255.0(rw,no_root_squash,no_subtree_check,crossmnt) Output from # ls -al /exports total 20 drwxr-xr-x 5 root root 4096 Jul 2 14:14 ./ drwxr-xr-x 28 root root 4096 Jul 2 13:46 ../ drwxr-xr-x 7 tdn audio 4096 Jun 7 11:30 audio/ drwxr-xr-x 11 root root 4096 Jun 29 12:07 clear/ drwxrwx--- 12 tdn video 4096 Jun 7 09:46 video/

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  • Failed to mount to nfs server with "Program not Registered"

    - by Farrel
    I'm trying to setup nfs server on Fedora 17 and I'm getting "Program not Registered" error when I'm trying to mount. I guess the main reason for this is rpcbind. I'm a newbie in linux, so I don't know what info should I provide you with. Here is some info that might be useful. rpcinfo -p program vers proto port service 100000 4 tcp 111 portmapper 100000 3 tcp 111 portmapper 100000 2 tcp 111 portmapper 100000 4 udp 111 portmapper 100000 3 udp 111 portmapper 100000 2 udp 111 portmapper 100005 1 udp 20048 mountd 100005 1 tcp 20048 mountd 100005 2 udp 20048 mountd 100005 2 tcp 20048 mountd 100005 3 udp 20048 mountd 100005 3 tcp 20048 mountd 100024 1 udp 42223 status 100024 1 tcp 50054 status cat /etc/exports /home/Farrel/prog 192.168.xxx.xxx (ro,sync) service nfs status Redirecting to /bin/systemctl status nfs.service nfs-server.service - NFS Server Loaded: loaded (/usr/lib/systemd/system/nfs-server.service; enabled) Active: active (exited) since Fri, 02 Nov 2012 09:29:04 +0300; 5min ago Process: 924 ExecStartPost=/usr/lib/nfs-utils/scripts/nfs-server.postconfig (code=exited, status=0/SUCCESS) Process: 909 ExecStart=/usr/sbin/rpc.nfsd $RPCNFSDARGS ${RPCNFSDCOUNT} (code=exited, status=0/SUCCESS) Process: 885 ExecStartPre=/usr/sbin/exportfs -r (code=exited, status=0/SUCCESS) Process: 864 ExecStartPre=/usr/lib/nfs-utils/scripts/nfs-server.preconfig (code=exited, status=0/SUCCESS) CGroup: name=systemd:/system/nfs-server.service Warning: Journal has been rotated since unit was started. Log output is incomplete or unavailable. Firewall is disabled on both systems. I spent a lot of time reading on the topic but all manuals on setting up nfs server lead to "Program not Registered" error. Any how-to-fix-it ideas?

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  • Very slow write performance on Debian 6.0 (AMD64) with DMCRYPT/LVM/RAID1

    - by jdelic
    I'm seeing very strange performance characteristics on one of my servers. This server is running a simple two-disk software-RAID1 setup with LVM spanning /dev/md0. One of the logical volumes /dev/vg0/secure is encrypted using dmcrypt with LUKS and mounted with the sync and noatimes flag. Writing to that volume is incredibly slow at 1.8 MB/s and the CPU usage stays near 0%. There are 8 crpyto/1-8 processes running (it's a Intel Quadcore CPU). I hope that someone on serverfault has seen this before :-(. uname -a 2.6.32-5-xen-amd64 #1 SMP Tue Mar 8 00:01:30 UTC 2011 x86_64 GNU/Linux Interestingly, when I read from the device I get good performance numbers: reading without encryption: $ dd if=/dev/vg0/secure of=/dev/null bs=64k count=100000 100000+0 records in 100000+0 records out 6553600000 bytes (6.6 GB) copied, 68.8951 s, 95.1 MB/s reading with encryption: $ dd if=/dev/mapper/secure of=/dev/null bs=64k count=100000 100000+0 records in 100000+0 records out 6553600000 bytes (6.6 GB) copied, 69.7116 s, 94.0 MB/s However, when I try to write to the device: $ dd if=/dev/zero of=./test bs=64k 8809+0 records in 8809+0 records out 577306624 bytes (577 MB) copied, 321.861 s, 1.8 MB/s Also, when I read I see CPU usage, when I write, the CPU stays at almost 0% usage. Here is output of cryptsetup luksDump: LUKS header information for /dev/vg0/secure Version: 1 Cipher name: aes Cipher mode: cbc-essiv:sha256 Hash spec: sha1 Payload offset: 2056 MK bits: 256 MK digest: dd 62 b9 a5 bf 6c ec 23 36 22 92 4c 39 f8 d6 5d c1 3a b7 37 MK salt: cc 2e b3 d9 fb e3 86 a1 bb ab eb 9d 65 df b3 dd d9 6b f4 49 de 8f 85 7d 3b 1c 90 83 5d b2 87 e2 MK iterations: 44500 UUID: a7c9af61-d9f0-4d3f-b422-dddf16250c33 Key Slot 0: ENABLED Iterations: 178282 Salt: 60 24 cb be 5c 51 9f b4 85 64 3d f8 07 22 54 d4 1a 5f 4c bc 4b 82 76 48 d8 a2 d2 6a ee 13 d7 5d Key material offset: 8 AF stripes: 4000 Key Slot 1: DISABLED Key Slot 2: DISABLED Key Slot 3: DISABLED Key Slot 4: DISABLED Key Slot 5: DISABLED Key Slot 6: DISABLED Key Slot 7: DISABLED

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  • Benchmarking MySQL on win7

    - by Patrick
    I've setup a nginx server running php 5.3.6 and mysql 5.5.1.3. My computer is an AMD quadcore 9650, 4gb ram, 500gb 7200rpm HD. I ran the PHP MySQL Benchmark Tool v. 0.1, and got the following results: Testing a(n) MYISAM table using 100000 rows. Successfully created database speedtestdb Sucessfully created table speedtesttable Table Type Verified: MYISAM .. Done. 100000 inserts in 19.73628 seconds or 5067 inserts per second. Done. 100000 row reads in 0.2801 seconds or 357015 row reads per second. Done. 100000 updates in 4.03876 seconds or 24760 updates per second. I'm wondering where this stands as far as performance goes, and what are some steps I can take if any to improve on this. I'm not trying to make anything fantastic, just getting a feel for how to best optimize a web server in this configuration.

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  • Efficient way to sort large set of numbers

    - by 7Aces
    I have to sort a set of 100000 integers as a part of a programming Q. The time limit is pretty restrictive, so I have to use the most time-efficient approach possible. My current code - #include<cstdio> #include<algorithm> using namespace std; int main() { int n,d[100000],i; for(i=0;i<n;++i) { scanf("%d",&d[i]); } sort(d,d+n); .... } Would this approach be more efiicient? int main() { int n,d[100000],i; for(i=0;i<n;++i) { scanf("%d",&d[i]); sort(d,d+i+1); } .... } What is the most efficient way to sort a large dataset? Note - Not homework...

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  • Where is the virtual function call overhead?

    - by Semen Semenych
    Hello everybody, I'm trying to benchmark the difference between a function pointer call and a virtual function call. To do this, I have written two pieces of code, that do the same mathematical computation over an array. One variant uses an array of pointers to functions and calls those in a loop. The other variant uses an array of pointers to a base class and calls its virtual function, which is overloaded in the derived classes to do absolutely the same thing as the functions in the first variant. Then I print the time elapsed and use a simple shell script to run the benchmark many times and compute the average run time. Here is the code: #include <iostream> #include <cstdlib> #include <ctime> #include <cmath> using namespace std; long long timespecDiff(struct timespec *timeA_p, struct timespec *timeB_p) { return ((timeA_p->tv_sec * 1000000000) + timeA_p->tv_nsec) - ((timeB_p->tv_sec * 1000000000) + timeB_p->tv_nsec); } void function_not( double *d ) { *d = sin(*d); } void function_and( double *d ) { *d = cos(*d); } void function_or( double *d ) { *d = tan(*d); } void function_xor( double *d ) { *d = sqrt(*d); } void ( * const function_table[4] )( double* ) = { &function_not, &function_and, &function_or, &function_xor }; int main(void) { srand(time(0)); void ( * index_array[100000] )( double * ); double array[100000]; for ( long int i = 0; i < 100000; ++i ) { index_array[i] = function_table[ rand() % 4 ]; array[i] = ( double )( rand() / 1000 ); } struct timespec start, end; clock_gettime(CLOCK_PROCESS_CPUTIME_ID, &start); for ( long int i = 0; i < 100000; ++i ) { index_array[i]( &array[i] ); } clock_gettime(CLOCK_PROCESS_CPUTIME_ID, &end); unsigned long long time_elapsed = timespecDiff(&end, &start); cout << time_elapsed / 1000000000.0 << endl; } and here is the virtual function variant: #include <iostream> #include <cstdlib> #include <ctime> #include <cmath> using namespace std; long long timespecDiff(struct timespec *timeA_p, struct timespec *timeB_p) { return ((timeA_p->tv_sec * 1000000000) + timeA_p->tv_nsec) - ((timeB_p->tv_sec * 1000000000) + timeB_p->tv_nsec); } class A { public: virtual void calculate( double *i ) = 0; }; class A1 : public A { public: void calculate( double *i ) { *i = sin(*i); } }; class A2 : public A { public: void calculate( double *i ) { *i = cos(*i); } }; class A3 : public A { public: void calculate( double *i ) { *i = tan(*i); } }; class A4 : public A { public: void calculate( double *i ) { *i = sqrt(*i); } }; int main(void) { srand(time(0)); A *base[100000]; double array[100000]; for ( long int i = 0; i < 100000; ++i ) { array[i] = ( double )( rand() / 1000 ); switch ( rand() % 4 ) { case 0: base[i] = new A1(); break; case 1: base[i] = new A2(); break; case 2: base[i] = new A3(); break; case 3: base[i] = new A4(); break; } } struct timespec start, end; clock_gettime(CLOCK_PROCESS_CPUTIME_ID, &start); for ( int i = 0; i < 100000; ++i ) { base[i]->calculate( &array[i] ); } clock_gettime(CLOCK_PROCESS_CPUTIME_ID, &end); unsigned long long time_elapsed = timespecDiff(&end, &start); cout << time_elapsed / 1000000000.0 << endl; } My system is LInux, Fedora 13, gcc 4.4.2. The code is compiled it with g++ -O3. The first one is test1, the second is test2. Now I see this in console: [Ignat@localhost circuit_testing]$ ./test2 && ./test2 0.0153142 0.0153166 Well, more or less, I think. And then, this: [Ignat@localhost circuit_testing]$ ./test2 && ./test2 0.01531 0.0152476 Where are the 25% which should be visible? How can the first executable be even slower than the second one? I'm asking this because I'm doing a project which involves calling a lot of small functions in a row like this in order to compute the values of an array, and the code I've inherited does a very complex manipulation to avoid the virtual function call overhead. Now where is this famous call overhead?

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  • How do I create a partial function with generics in scala?

    - by Matteo Caprari
    Hello. I'm trying to write a performance measurements library for Scala. My idea is to transparently 'mark' sections so that the execution time can be collected. Unfortunately I wasn't able to bend the compiler to my will. An admittedly contrived example of what I have in mind: // generate a timing function val myTimer = mkTimer('myTimer) // see how the timing function returns the right type depending on the // type of the function it is passed to it val act = actor { loop { receive { case 'Int => val calc = myTimer { (1 to 100000).sum } val result = calc + 10 // calc must be Int self reply (result) case 'String => val calc = myTimer { (1 to 100000).mkString } val result = calc + " String" // calc must be String self reply (result) } Now, this is the farthest I got: trait Timing { def time[T <: Any](name: Symbol)(op: => T) :T = { val start = System.nanoTime val result = op val elapsed = System.nanoTime - start println(name + ": " + elapsed) result } def mkTimer[T <: Any](name: Symbol) : (() => T) => () => T = { type c = () => T time(name)(_ : c) } } Using the time function directly works and the compiler correctly uses the return type of the anonymous function to type the 'time' function: val bigString = time('timerBigString) { (1 to 100000).mkString("-") } println (bigString) Great as it seems, this pattern has a number of shortcomings: forces the user to reuse the same symbol at each invocation makes it more difficult to do more advanced stuff like predefined project-level timers does not allow the library to initialize once a data structure for 'timerBigString So here it comes mkTimer, that would allow me to partially apply the time function and reuse it. I use mkTimer like this: val myTimer = mkTimer('aTimer) val myString= myTimer { (1 to 100000).mkString("-") } println (myString) But I get a compiler error: error: type mismatch; found : String required: () => Nothing (1 to 100000).mkString("-") I get the same error if I inline the currying: val timerBigString = time('timerBigString) _ val bigString = timerBigString { (1 to 100000).mkString("-") } println (bigString) This works if I do val timerBigString = time('timerBigString) (_: String), but this is not what I want. I'd like to defer typing of the partially applied function until application. I conclude that the compiler is deciding the return type of the partial function when I first create it, chosing "Nothing" because it can't make a better informed choice. So I guess what I'm looking for is a sort of late-binding of the partially applied function. Is there any way to do this? Or maybe is there a completely different path I could follow? Well, thanks for reading this far -teo

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  • is delete p where p is a pointer to array a memory leak ?

    - by Eli
    following a discussion in a software meeting I setup to find out if deleting an dynamically allocated primitive array with plain delete will cause a memory leak. I have written this tiny program and compiled with visual studio 2008 running on windows XP: #include "stdafx.h" #include "Windows.h" const unsigned long BLOCK_SIZE = 1024*100000; int _tmain() { for (unsigned int i =0; i < 1024*1000; i++) { int* p = new int[1024*100000]; for (int j =0;j<BLOCK_SIZE;j++) p[j]= j % 2; Sleep(1000); delete p; } } I than monitored the memory consumption of my application using task manager, surprisingly the memory was allocated and freed correctly, allocated memory did not steadily increase as was expected I've modified my test program to allocate a non primitive type array : #include "stdafx.h" #include "Windows.h" struct aStruct { aStruct() : i(1), j(0) {} int i; char j; } NonePrimitive; const unsigned long BLOCK_SIZE = 1024*100000; int _tmain() { for (unsigned int i =0; i < 1024*100000; i++) { aStruct* p = new aStruct[1024*100000]; Sleep(1000); delete p; } } after running for for 10 minutes there was no meaningful increase in memory I compiled the project with warning level 4 and got no warnings. is it possible that the visual studio run time keep track of the allocated objects types so there is no different between delete and delete[] in that environment ?

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  • Can't get past 2542 Threads in Java on 4GB iMac OSX 10.6.3 Snow Leopard (32bit)

    - by fuzzy lollipop
    I am running the following program trying to figure out how to configure my JVM to get the maximum number of threads my machine can support. For those that might not know, Snow Leopard ships with Java 6. I tried starting it with defaults, and the following command lines, I always get the Out of Memory Error at Thread 2542 no matter what the JVM options are set to. java TestThreadStackSizes 100000 java -Xss1024 TestThreadStackSizes 100000 java -Xmx128m -Xss1024 TestThreadStackSizes 100000 java -Xmx2048m -Xss1024 TestThreadStackSizes 100000 java -Xmx2048m -Xms2048m -Xss1024 TestThreadStackSizes 100000 no matter what I pass it, I get the same results, Out of Memory Error at 2542 public class TestThreadStackSizes { public static void main(final String[] args) { Thread.currentThread().setUncaughtExceptionHandler(new Thread.UncaughtExceptionHandler() { public void uncaughtException(final Thread t, final Throwable e) { System.err.println(e.getMessage()); System.exit(1); } }); int numThreads = 1000; if (args.length == 1) { numThreads = Integer.parseInt(args[0]); } for (int i = 0; i < numThreads; i++) { try { Thread t = new Thread(new SleeperThread(i)); t.start(); } catch (final OutOfMemoryError e) { throw new RuntimeException(String.format("Out of Memory Error on Thread %d", i), e); } } } private static class SleeperThread implements Runnable { private final int i; private SleeperThread(final int i) { this.i = i; } public void run() { try { System.out.format("Thread %d about to sleep\n", this.i); Thread.sleep(1000 * 60 * 60); } catch (final InterruptedException e) { throw new RuntimeException(e); } } } } Any ideas on now I can affect these results?

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  • SQL SERVER – Introduction to SQL Server 2014 In-Memory OLTP

    - by Pinal Dave
    In SQL Server 2014 Microsoft has introduced a new database engine component called In-Memory OLTP aka project “Hekaton” which is fully integrated into the SQL Server Database Engine. It is optimized for OLTP workloads accessing memory resident data. In-memory OLTP helps us create memory optimized tables which in turn offer significant performance improvement for our typical OLTP workload. The main objective of memory optimized table is to ensure that highly transactional tables could live in memory and remain in memory forever without even losing out a single record. The most significant part is that it still supports majority of our Transact-SQL statement. Transact-SQL stored procedures can be compiled to machine code for further performance improvements on memory-optimized tables. This engine is designed to ensure higher concurrency and minimal blocking. In-Memory OLTP alleviates the issue of locking, using a new type of multi-version optimistic concurrency control. It also substantially reduces waiting for log writes by generating far less log data and needing fewer log writes. Points to remember Memory-optimized tables refer to tables using the new data structures and key words added as part of In-Memory OLTP. Disk-based tables refer to your normal tables which we used to create in SQL Server since its inception. These tables use a fixed size 8 KB pages that need to be read from and written to disk as a unit. Natively compiled stored procedures refer to an object Type which is new and is supported by in-memory OLTP engine which convert it into machine code, which can further improve the data access performance for memory –optimized tables. Natively compiled stored procedures can only reference memory-optimized tables, they can’t be used to reference any disk –based table. Interpreted Transact-SQL stored procedures, which is what SQL Server has always used. Cross-container transactions refer to transactions that reference both memory-optimized tables and disk-based tables. Interop refers to interpreted Transact-SQL that references memory-optimized tables. Using In-Memory OLTP In-Memory OLTP engine has been available as part of SQL Server 2014 since June 2013 CTPs. Installation of In-Memory OLTP is part of the SQL Server setup application. The In-Memory OLTP components can only be installed with a 64-bit edition of SQL Server 2014 hence they are not available with 32-bit editions. Creating Databases Any database that will store memory-optimized tables must have a MEMORY_OPTIMIZED_DATA filegroup. This filegroup is specifically designed to store the checkpoint files needed by SQL Server to recover the memory-optimized tables, and although the syntax for creating the filegroup is almost the same as for creating a regular filestream filegroup, it must also specify the option CONTAINS MEMORY_OPTIMIZED_DATA. Here is an example of a CREATE DATABASE statement for a database that can support memory-optimized tables: CREATE DATABASE InMemoryDB ON PRIMARY(NAME = [InMemoryDB_data], FILENAME = 'D:\data\InMemoryDB_data.mdf', size=500MB), FILEGROUP [SampleDB_mod_fg] CONTAINS MEMORY_OPTIMIZED_DATA (NAME = [InMemoryDB_mod_dir], FILENAME = 'S:\data\InMemoryDB_mod_dir'), (NAME = [InMemoryDB_mod_dir], FILENAME = 'R:\data\InMemoryDB_mod_dir') LOG ON (name = [SampleDB_log], Filename='L:\log\InMemoryDB_log.ldf', size=500MB) COLLATE Latin1_General_100_BIN2; Above example code creates files on three different drives (D:  S: and R:) for the data files and in memory storage so if you would like to run this code kindly change the drive and folder locations as per your convenience. Also notice that binary collation was specified as Windows (non-SQL). BIN2 collation is the only collation support at this point for any indexes on memory optimized tables. It is also possible to add a MEMORY_OPTIMIZED_DATA file group to an existing database, use the below command to achieve the same. ALTER DATABASE AdventureWorks2012 ADD FILEGROUP hekaton_mod CONTAINS MEMORY_OPTIMIZED_DATA; GO ALTER DATABASE AdventureWorks2012 ADD FILE (NAME='hekaton_mod', FILENAME='S:\data\hekaton_mod') TO FILEGROUP hekaton_mod; GO Creating Tables There is no major syntactical difference between creating a disk based table or a memory –optimized table but yes there are a few restrictions and a few new essential extensions. Essentially any memory-optimized table should use the MEMORY_OPTIMIZED = ON clause as shown in the Create Table query example. DURABILITY clause (SCHEMA_AND_DATA or SCHEMA_ONLY) Memory-optimized table should always be defined with a DURABILITY value which can be either SCHEMA_AND_DATA or  SCHEMA_ONLY the former being the default. A memory-optimized table defined with DURABILITY=SCHEMA_ONLY will not persist the data to disk which means the data durability is compromised whereas DURABILITY= SCHEMA_AND_DATA ensures that data is also persisted along with the schema. Indexing Memory Optimized Table A memory-optimized table must always have an index for all tables created with DURABILITY= SCHEMA_AND_DATA and this can be achieved by declaring a PRIMARY KEY Constraint at the time of creating a table. The following example shows a PRIMARY KEY index created as a HASH index, for which a bucket count must also be specified. CREATE TABLE Mem_Table ( [Name] VARCHAR(32) NOT NULL PRIMARY KEY NONCLUSTERED HASH WITH (BUCKET_COUNT = 100000), [City] VARCHAR(32) NULL, [State_Province] VARCHAR(32) NULL, [LastModified] DATETIME NOT NULL, ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA); Now as you can see in the above query example we have used the clause MEMORY_OPTIMIZED = ON to make sure that it is considered as a memory optimized table and not just a normal table and also used the DURABILITY Clause= SCHEMA_AND_DATA which means it will persist data along with metadata and also you can notice this table has a PRIMARY KEY mentioned upfront which is also a mandatory clause for memory-optimized tables. We will talk more about HASH Indexes and BUCKET_COUNT in later articles on this topic which will be focusing more on Row and Index storage on Memory-Optimized tables. So stay tuned for that as well. Now as we covered the basics of Memory Optimized tables and understood the key things to remember while using memory optimized tables, let’s explore more using examples to understand the Performance gains using memory-optimized tables. I will be using the database which i created earlier in this article i.e. InMemoryDB in the below Demo Exercise. USE InMemoryDB GO -- Creating a disk based table CREATE TABLE dbo.Disktable ( Id INT IDENTITY, Name CHAR(40) ) GO CREATE NONCLUSTERED INDEX IX_ID ON dbo.Disktable (Id) GO -- Creating a memory optimized table with similar structure and DURABILITY = SCHEMA_AND_DATA CREATE TABLE dbo.Memorytable_durable ( Id INT NOT NULL PRIMARY KEY NONCLUSTERED Hash WITH (bucket_count =1000000), Name CHAR(40) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA) GO -- Creating an another memory optimized table with similar structure but DURABILITY = SCHEMA_Only CREATE TABLE dbo.Memorytable_nondurable ( Id INT NOT NULL PRIMARY KEY NONCLUSTERED Hash WITH (bucket_count =1000000), Name CHAR(40) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_only) GO -- Now insert 100000 records in dbo.Disktable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Disktable(Name) VALUES('sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END -- Do the same inserts for Memory table dbo.Memorytable_durable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Memorytable_durable VALUES(@i_t, 'sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END -- Now finally do the same inserts for Memory table dbo.Memorytable_nondurable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Memorytable_nondurable VALUES(@i_t, 'sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END The above 3 Inserts took 1.20 minutes, 54 secs, and 2 secs respectively to insert 100000 records on my machine with 8 Gb RAM. This proves the point that memory-optimized tables can definitely help businesses achieve better performance for their highly transactional business table and memory- optimized tables with Durability SCHEMA_ONLY is even faster as it does not bother persisting its data to disk which makes it supremely fast. Koenig Solutions is one of the few organizations which offer IT training on SQL Server 2014 and all its updates. Now, I leave the decision on using memory_Optimized tables on you, I hope you like this article and it helped you understand  the fundamentals of IN-Memory OLTP . Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Koenig

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  • What is the fastest way to send 100,000 HTTP requests in Python?

    - by Igor G.
    Hello, I am opening a file which has 100,000 url's. I need to send an http request to each url and print the status code. I am using Python 2.6, and so far looked at the many confusing ways Python implements threading/concurrency. I have even looked at the python concurrence library, but cannot figure out how to write this program correctly. Has anyone come across a similar problem? I guess generally I need to know how to perform thousands of tasks in Python as fast as possible - I suppose that means 'concurrently'. Thank you, Igor

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  • Duplicate ping packages in Linux VirtualBox machine

    - by Darkmage
    i cant seem t figure out what is going on here. The Linux machine I am using is running as a VM on a Win7 machine using Virtual Box running as a service. If i ping the win7 Host i get ok result. root@Virtual-Box:/home/glennwiz# ping -c 100000 -s 10 -i 0.02 192.168.1.100 PING 192.168.1.100 (192.168.1.100) 10(38) bytes of data. 18 bytes from 192.168.1.100: icmp_seq=1 ttl=128 time=1.78 ms 18 bytes from 192.168.1.100: icmp_seq=2 ttl=128 time=1.68 ms if i ping localhost im ok root@Virtual-Box:/home/glennwiz# ping -c 100000 -s 10 -i 0.02 localhost PING localhost (127.0.0.1) 10(38) bytes of data. 18 bytes from localhost (127.0.0.1): icmp_seq=1 ttl=64 time=0.255 ms 18 bytes from localhost (127.0.0.1): icmp_seq=2 ttl=64 time=0.221 ms but if i ping gateway i get DUP packets root@Virtual-Box:/home/glennwiz# ping -c 100000 -s 10 -i 0.02 192.168.1.1 PING 192.168.1.1 (192.168.1.1) 10(38) bytes of data. 18 bytes from 192.168.1.1: icmp_seq=1 ttl=64 time=1.27 ms 18 bytes from 192.168.1.1: icmp_seq=1 ttl=64 time=1.46 ms (DUP!) 18 bytes from 192.168.1.1: icmp_seq=2 ttl=64 time=22.1 ms 18 bytes from 192.168.1.1: icmp_seq=2 ttl=64 time=22.4 ms (DUP!) if i ping other machine on same LAN i stil get dups. pinging remote hosts also gives (DUP!) result root@Virtual-Box:/home/glennwiz# ping -c 100000 -s 10 -i 0.02 www.vg.no PING www.vg.no (195.88.55.16) 10(38) bytes of data. 18 bytes from www.vg.no (195.88.55.16): icmp_seq=1 ttl=245 time=10.0 ms 18 bytes from www.vg.no (195.88.55.16): icmp_seq=1 ttl=245 time=10.3 ms (DUP!) 18 bytes from www.vg.no (195.88.55.16): icmp_seq=2 ttl=245 time=10.3 ms 18 bytes from www.vg.no (195.88.55.16): icmp_seq=2 ttl=245 time=10.6 ms (DUP!)

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  • Linux (DUP!) ping packages

    - by Darkmage
    i cant seem t figure out what is going on here. The Linux machine I am using is running as a VM on a Win7 machine using Virtual Box running as a service. If i ping the win7 Host i get ok result. root@Virtual-Box:/home/glennwiz# ping -c 100000 -s 10 -i 0.02 192.168.1.100 PING 192.168.1.100 (192.168.1.100) 10(38) bytes of data. 18 bytes from 192.168.1.100: icmp_seq=1 ttl=128 time=1.78 ms 18 bytes from 192.168.1.100: icmp_seq=2 ttl=128 time=1.68 ms if i ping localhost im ok root@Virtual-Box:/home/glennwiz# ping -c 100000 -s 10 -i 0.02 localhost PING localhost (127.0.0.1) 10(38) bytes of data. 18 bytes from localhost (127.0.0.1): icmp_seq=1 ttl=64 time=0.255 ms 18 bytes from localhost (127.0.0.1): icmp_seq=2 ttl=64 time=0.221 ms but if i ping gateway i get DUP packets root@Virtual-Box:/home/glennwiz# ping -c 100000 -s 10 -i 0.02 192.168.1.1 PING 192.168.1.1 (192.168.1.1) 10(38) bytes of data. 18 bytes from 192.168.1.1: icmp_seq=1 ttl=64 time=1.27 ms 18 bytes from 192.168.1.1: icmp_seq=1 ttl=64 time=1.46 ms (DUP!) 18 bytes from 192.168.1.1: icmp_seq=2 ttl=64 time=22.1 ms 18 bytes from 192.168.1.1: icmp_seq=2 ttl=64 time=22.4 ms (DUP!) if i ping other machine on same LAN i stil get dups. pinging remote hosts also gives (DUP!) result root@Virtual-Box:/home/glennwiz# ping -c 100000 -s 10 -i 0.02 www.vg.no PING www.vg.no (195.88.55.16) 10(38) bytes of data. 18 bytes from www.vg.no (195.88.55.16): icmp_seq=1 ttl=245 time=10.0 ms 18 bytes from www.vg.no (195.88.55.16): icmp_seq=1 ttl=245 time=10.3 ms (DUP!) 18 bytes from www.vg.no (195.88.55.16): icmp_seq=2 ttl=245 time=10.3 ms 18 bytes from www.vg.no (195.88.55.16): icmp_seq=2 ttl=245 time=10.6 ms (DUP!)

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