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• Java Spotlight Episode 103: 2012 Duke Choice Award Winners

  - by Roger Brinkley

  Our annual interview with the 2012 Duke Choice Award Winners recorded live at the JavaOne 2012. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link:  Java Spotlight Podcast in iTunes. Show Notes Events Oct 13, Devoxx 4 Kids Nederlands Oct 15-17, JAX London Oct 20, Devoxx 4 Kids Français Oct 22-23, Freescale Technology Forum - Japan, Tokyo Oct 30-Nov 1, Arm TechCon, Santa Clara Oct 31, JFall, Netherlands Nov 2-3, JMagreb, Morocco Nov 13-17, Devoxx, Belgium Feature Interview Duke Choice Award Winners 2012 - Show Presentation London Java CommunityThe second user group receiving a Duke’s Choice Award this year, the London Java Community (LJC) and its users have been active in the OpenJDK, the Java Community Process (JCP) and other efforts within the global Java community. Student Nokia Developer GroupThis year’s student winner, Ram Kashyap, is the founder and president of the Nokia Student Network, and was profiled in the “The New Java Developers” feature in the March/April 2012 issue of Java Magazine. Since then, Ram has maintained a hectic pace, graduating from the People’s Education Society Institute of Technology in Bangalore, India, while working on a Java mobile startup and training students on Java ME. Jelastic, Inc.Moving existing Java applications to the cloud can be a daunting task, but startup Jelastic, Inc. offers the first all-Java platform-as-a-service (PaaS) that enables existing Java applications to be deployed in the cloud without code changes or lock-in. NATOThe first-ever Community Choice Award goes to the MASE Integrated Console Environment (MICE) in use at NATO. Built in Java on the NetBeans platform, MICE provides a high-performance visualization environment for conducting air defense and battle-space operations. DuchessRather than focus on a specific geographic area like most Java User Groups (JUGs), Duchess fosters the participation of women in the Java community worldwide. The group has more than 500 members in 60 countries, and provides a platform through which women can connect with each other and get involved in all aspects of the Java community. AgroSense ProjectImproving farming methods to feed a hungry world is the goal of AgroSense, an open source farm information management system built in Java and the NetBeans platform. AgroSense enables farmers, agribusinesses, suppliers and others to develop modular applications that will easily exchange information through a common underlying NetBeans framework. Apache Software Foundation Hadoop ProjectThe Apache Software Foundation’s Hadoop project, written in Java, provides a framework for distributed processing of big data sets across clusters of computers, ranging from a few servers to thousands of machines. This harnessing of large data pools allows organizations to better understand and improve their business. Parleys.comE-learning specialist Parleys.com, based in Brussels, Belgium, uses Java technologies to bring online classes and full IT conferences to desktops, laptops, tablets and mobile devices. Parleys.com has hosted more than 1,700 conferences—including Devoxx and JavaOne—for more than 800,000 unique visitors. Winners not presenting at JavaOne 2012 Duke Choice Awards BOF Liquid RoboticsRobotics – Liquid Robotics is an ocean data services provider whose Wave Glider technology collects information from the world’s oceans for application in government, science and commercial applications. The organization features the “father of Java” James Gosling as its chief software architect.United Nations High Commissioner for RefugeesThe United Nations High Commissioner for Refugees (UNHCR) is on the front lines of crises around the world, from civil wars to natural disasters. To help facilitate its mission of humanitarian relief, the UNHCR has developed a light-client Java application on the NetBeans platform. The Level One registration tool enables the UNHCR to collect information on the number of refugees and their water, food, housing, health, and other needs in the field, and combines that with geocoding information from various sources. This enables the UNHCR to deliver the appropriate kind and amount of assistance where it is needed.

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• video and file caching with squid lusca?

  - by moon

  hello all i have configured squid lusca on ubuntu 11.04 version and also configured the video caching but the problem is the squid cannot configure the video more than 2 min long and the file of size upto 5.xx mbs only. here is my config please guide me how can i cache the long videos and files with squid: > # PORT and Transparent Option http_port 8080 transparent server_http11 on icp_port 0 > > # Cache Directory , modify it according to your system. > # but first create directory in root by mkdir /cache1 > # and then issue this command chown proxy:proxy /cache1 > # [for ubuntu user is proxy, in Fedora user is SQUID] > # I have set 500 MB for caching reserved just for caching , > # adjust it according to your need. > # My recommendation is to have one cache_dir per drive. zzz > > #store_dir_select_algorithm round-robin cache_dir aufs /cache1 500 16 256 cache_replacement_policy heap LFUDA memory_replacement_policy heap > LFUDA > > # If you want to enable DATE time n SQUID Logs,use following emulate_httpd_log on logformat squid %tl %6tr %>a %Ss/%03Hs %<st %rm > %ru %un %Sh/%<A %mt log_fqdn off > > # How much days to keep users access web logs > # You need to rotate your log files with a cron job. For example: > # 0 0 * * * /usr/local/squid/bin/squid -k rotate logfile_rotate 14 debug_options ALL,1 cache_access_log /var/log/squid/access.log > cache_log /var/log/squid/cache.log cache_store_log > /var/log/squid/store.log > > #I used DNSAMSQ service for fast dns resolving > #so install by using "apt-get install dnsmasq" first dns_nameservers 127.0.0.1 101.11.11.5 ftp_user anonymous@ ftp_list_width 32 ftp_passive on ftp_sanitycheck on > > #ACL Section acl all src 0.0.0.0/0.0.0.0 acl manager proto cache_object acl localhost src 127.0.0.1/255.255.255.255 acl > to_localhost dst 127.0.0.0/8 acl SSL_ports port 443 563 # https, snews > acl SSL_ports port 873 # rsync acl Safe_ports port 80 # http acl > Safe_ports port 21 # ftp acl Safe_ports port 443 563 # https, snews > acl Safe_ports port 70 # gopher acl Safe_ports port 210 # wais acl > Safe_ports port 1025-65535 # unregistered ports acl Safe_ports port > 280 # http-mgmt acl Safe_ports port 488 # gss-http acl Safe_ports port > 591 # filemaker acl Safe_ports port 777 # multiling http acl > Safe_ports port 631 # cups acl Safe_ports port 873 # rsync acl > Safe_ports port 901 # SWAT acl purge method PURGE acl CONNECT method > CONNECT http_access allow manager localhost http_access deny manager > http_access allow purge localhost http_access deny purge http_access > deny !Safe_ports http_access deny CONNECT !SSL_ports http_access allow > localhost http_access allow all http_reply_access allow all icp_access > allow all > > #========================== > # Administrative Parameters > #========================== > > # I used UBUNTU so user is proxy, in FEDORA you may use use squid cache_effective_user proxy cache_effective_group proxy cache_mgr > [email protected] visible_hostname proxy.aacable.net unique_hostname > [email protected] > > #============= > # ACCELERATOR > #============= half_closed_clients off quick_abort_min 0 KB quick_abort_max 0 KB vary_ignore_expire on reload_into_ims on log_fqdn > off memory_pools off > > # If you want to hide your proxy machine from being detected at various site use following via off > > #============================================ > # OPTIONS WHICH AFFECT THE CACHE SIZE / zaib > #============================================ > # If you have 4GB memory in Squid box, we will use formula of 1/3 > # You can adjust it according to your need. IF squid is taking too much of RAM > # Then decrease it to 128 MB or even less. > > cache_mem 256 MB minimum_object_size 512 bytes maximum_object_size 500 > MB maximum_object_size_in_memory 128 KB > > #============================================================$ > # SNMP , if you want to generate graphs for SQUID via MRTG > #============================================================$ > #acl snmppublic snmp_community gl > #snmp_port 3401 > #snmp_access allow snmppublic all > #snmp_access allow all > > #============================================================ > # ZPH , To enable cache content to be delivered at full lan speed, > # To bypass the queue at MT. > #============================================================ tcp_outgoing_tos 0x30 all zph_mode tos zph_local 0x30 zph_parent 0 > zph_option 136 > > # Caching Youtube acl videocache_allow_url url_regex -i \.youtube\.com\/get_video\? acl videocache_allow_url url_regex -i > \.youtube\.com\/videoplayback \.youtube\.com\/videoplay > \.youtube\.com\/get_video\? acl videocache_allow_url url_regex -i > \.youtube\.[a-z][a-z]\/videoplayback \.youtube\.[a-z][a-z]\/videoplay > \.youtube\.[a-z][a-z]\/get_video\? acl videocache_allow_url url_regex > -i \.googlevideo\.com\/videoplayback \.googlevideo\.com\/videoplay \.googlevideo\.com\/get_video\? acl videocache_allow_url url_regex -i > \.google\.com\/videoplayback \.google\.com\/videoplay > \.google\.com\/get_video\? acl videocache_allow_url url_regex -i > \.google\.[a-z][a-z]\/videoplayback \.google\.[a-z][a-z]\/videoplay > \.google\.[a-z][a-z]\/get_video\? acl videocache_allow_url url_regex > -i proxy[a-z0-9\-][a-z0-9][a-z0-9][a-z0-9]?\.dailymotion\.com\/ acl videocache_allow_url url_regex -i vid\.akm\.dailymotion\.com\/ acl > videocache_allow_url url_regex -i > [a-z0-9][0-9a-z][0-9a-z]?[0-9a-z]?[0-9a-z]?\.xtube\.com\/(.*)flv acl > videocache_allow_url url_regex -i \.vimeo\.com\/(.*)\.(flv|mp4) acl > videocache_allow_url url_regex -i > va\.wrzuta\.pl\/wa[0-9][0-9][0-9][0-9]? acl videocache_allow_url > url_regex -i \.youporn\.com\/(.*)\.flv acl videocache_allow_url > url_regex -i \.msn\.com\.edgesuite\.net\/(.*)\.flv acl > videocache_allow_url url_regex -i \.tube8\.com\/(.*)\.(flv|3gp) acl > videocache_allow_url url_regex -i \.mais\.uol\.com\.br\/(.*)\.flv acl > videocache_allow_url url_regex -i > \.blip\.tv\/(.*)\.(flv|avi|mov|mp3|m4v|mp4|wmv|rm|ram|m4v) acl > videocache_allow_url url_regex -i > \.apniisp\.com\/(.*)\.(flv|avi|mov|mp3|m4v|mp4|wmv|rm|ram|m4v) acl > videocache_allow_url url_regex -i \.break\.com\/(.*)\.(flv|mp4) acl > videocache_allow_url url_regex -i redtube\.com\/(.*)\.flv acl > videocache_allow_dom dstdomain .mccont.com .metacafe.com > .cdn.dailymotion.com acl videocache_deny_dom dstdomain > .download.youporn.com .static.blip.tv acl dontrewrite url_regex > redbot\.org \.php acl getmethod method GET > > storeurl_access deny dontrewrite storeurl_access deny !getmethod > storeurl_access deny videocache_deny_dom storeurl_access allow > videocache_allow_url storeurl_access allow videocache_allow_dom > storeurl_access deny all > > storeurl_rewrite_program /etc/squid/storeurl.pl > storeurl_rewrite_children 7 storeurl_rewrite_concurrency 10 > > acl store_rewrite_list urlpath_regex -i > \/(get_video\?|videodownload\?|videoplayback.*id) acl > store_rewrite_list urlpath_regex -i \.flv$ \.mp3$ \.mp4$ \.swf$ \ > storeurl_access allow store_rewrite_list storeurl_access deny all > > refresh_pattern -i \.flv$ 10080 80% 10080 override-expire > override-lastmod reload-into-ims ignore-reload ignore-no-cache > ignore-private ignore-auth refresh_pattern -i \.mp3$ 10080 80% 10080 > override-expire override-lastmod reload-into-ims ignore-reload > ignore-no-cache ignore-private ignore-auth refresh_pattern -i \.mp4$ > 10080 80% 10080 override-expire override-lastmod reload-into-ims > ignore-reload ignore-no-cache ignore-private ignore-auth > refresh_pattern -i \.swf$ 10080 80% 10080 override-expire > override-lastmod reload-into-ims ignore-reload ignore-no-cache > ignore-private ignore-auth refresh_pattern -i \.gif$ 10080 80% 10080 > override-expire override-lastmod reload-into-ims ignore-reload > ignore-no-cache ignore-private ignore-auth refresh_pattern -i \.jpg$ > 10080 80% 10080 override-expire override-lastmod reload-into-ims > ignore-reload ignore-no-cache ignore-private ignore-auth > refresh_pattern -i \.jpeg$ 10080 80% 10080 override-expire > override-lastmod reload-into-ims ignore-reload ignore-no-cache > ignore-private ignore-auth refresh_pattern -i \.exe$ 10080 80% 10080 > override-expire override-lastmod reload-into-ims ignore-reload > ignore-no-cache ignore-private ignore-auth > > # 1 year = 525600 mins, 1 month = 10080 mins, 1 day = 1440 refresh_pattern (get_video\?|videoplayback\?|videodownload\?|\.flv?) > 10080 80% 10080 ignore-no-cache ignore-private override-expire > override-lastmod reload-into-ims refresh_pattern > (get_video\?|videoplayback\?id|videoplayback.*id|videodownload\?|\.flv?) > 10080 80% 10080 ignore-no-cache ignore-private override-expire > override-lastmod reload-into-ims refresh_pattern \.(ico|video-stats) > 10080 80% 10080 override-expire ignore-reload ignore-no-cache > ignore-private ignore-auth override-lastmod negative-ttl=10080 > refresh_pattern \.etology\? 10080 > 80% 10080 override-expire ignore-reload ignore-no-cache > refresh_pattern galleries\.video(\?|sz) 10080 > 80% 10080 override-expire ignore-reload ignore-no-cache > refresh_pattern brazzers\? 10080 > 80% 10080 override-expire ignore-reload ignore-no-cache > refresh_pattern \.adtology\? 10080 > 80% 10080 override-expire ignore-reload ignore-no-cache > refresh_pattern > ^.*(utm\.gif|ads\?|rmxads\.com|ad\.z5x\.net|bh\.contextweb\.com|bstats\.adbrite\.com|a1\.interclick\.com|ad\.trafficmp\.com|ads\.cubics\.com|ad\.xtendmedia\.com|\.googlesyndication\.com|advertising\.com|yieldmanager|game-advertising\.com|pixel\.quantserve\.com|adperium\.com|doubleclick\.net|adserving\.cpxinteractive\.com|syndication\.com|media.fastclick.net).* > 10080 20% 10080 ignore-no-cache ignore-private override-expire > ignore-reload ignore-auth negative-ttl=40320 max-stale=10 > refresh_pattern ^.*safebrowsing.*google 10080 80% 10080 > override-expire ignore-reload ignore-no-cache ignore-private > ignore-auth negative-ttl=10080 refresh_pattern > ^http://((cbk|mt|khm|mlt)[0-9]?)\.google\.co(m|\.uk) 10080 80% > 10080 override-expire ignore-reload ignore-private negative-ttl=10080 > refresh_pattern ytimg\.com.*\.jpg > 10080 80% 10080 override-expire ignore-reload refresh_pattern > images\.friendster\.com.*\.(png|gif) 10080 80% > 10080 override-expire ignore-reload refresh_pattern garena\.com > 10080 80% 10080 override-expire reload-into-ims refresh_pattern > photobucket.*\.(jp(e?g|e|2)|tiff?|bmp|gif|png) 10080 80% > 10080 override-expire ignore-reload refresh_pattern > vid\.akm\.dailymotion\.com.*\.on2\? 10080 80% > 10080 ignore-no-cache override-expire override-lastmod refresh_pattern > mediafire.com\/images.*\.(jp(e?g|e|2)|tiff?|bmp|gif|png) 10080 80% > 10080 reload-into-ims override-expire ignore-private refresh_pattern > ^http:\/\/images|pics|thumbs[0-9]\. 10080 80% > 10080 reload-into-ims ignore-no-cache ignore-reload override-expire > refresh_pattern ^http:\/\/www.onemanga.com.*\/ > 10080 80% 10080 reload-into-ims ignore-no-cache ignore-reload > override-expire refresh_pattern > ^http://v\.okezone\.com/get_video\/([a-zA-Z0-9]) 10080 80% 10080 > override-expire ignore-reload ignore-no-cache ignore-private > ignore-auth override-lastmod negative-ttl=10080 > > #images facebook refresh_pattern -i \.facebook.com.*\.(jpg|png|gif) 10080 80% 10080 ignore-reload override-expire ignore-no-cache > refresh_pattern -i \.fbcdn.net.*\.(jpg|gif|png|swf|mp3) > 10080 80% 10080 ignore-reload override-expire ignore-no-cache > refresh_pattern static\.ak\.fbcdn\.net*\.(jpg|gif|png) > 10080 80% 10080 ignore-reload override-expire ignore-no-cache > refresh_pattern ^http:\/\/profile\.ak\.fbcdn.net*\.(jpg|gif|png) > 10080 80% 10080 ignore-reload override-expire ignore-no-cache > > #All File refresh_pattern -i \.(3gp|7z|ace|asx|bin|deb|divx|dvr-ms|ram|rpm|exe|inc|cab|qt) > 10080 80% 10080 ignore-no-cache override-expire override-lastmod > reload-into-ims refresh_pattern -i > \.(rar|jar|gz|tgz|bz2|iso|m1v|m2(v|p)|mo(d|v)|arj|lha|lzh|zip|tar) > 10080 80% 10080 ignore-no-cache override-expire override-lastmod > reload-into-ims refresh_pattern -i > \.(jp(e?g|e|2)|gif|pn[pg]|bm?|tiff?|ico|swf|dat|ad|txt|dll) > 10080 80% 10080 ignore-no-cache override-expire override-lastmod > reload-into-ims refresh_pattern -i > \.(avi|ac4|mp(e?g|a|e|1|2|3|4)|mk(a|v)|ms(i|u|p)|og(x|v|a|g)|rm|r(a|p)m|snd|vob) > 10080 80% 10080 ignore-no-cache override-expire override-lastmod > reload-into-ims refresh_pattern -i > \.(pp(t?x)|s|t)|pdf|rtf|wax|wm(a|v)|wmx|wpl|cb(r|z|t)|xl(s?x)|do(c?x)|flv|x-flv) > 10080 80% 10080 ignore-no-cache override-expire override-lastmod > reload-into-ims > > refresh_pattern -i (/cgi-bin/|\?) 0 0% 0 refresh_pattern ^gopher: > 1440 0% 1440 refresh_pattern ^ftp: 10080 95% 10080 > override-lastmod reload-into-ims refresh_pattern . 1440 > 95% 10080 override-lastmod reload-into-ims

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• Duke's Choice Award Ceremony

  - by Tori Wieldt

  The 2012 Duke's Choice Awards winners and their creative, Java-based technologies and Java community contributions were honored after the Sunday night JavaOne keynotes. Sharat Chander, Group Director for Java Technology Outreach, presented the awards. "Having the community participate directly in both submission and selection truly shows how we are driving exposure of the innovation happening in the Java community," he said. Apache Software Foundation Hadoop Project The Apache Software Foundation’s Hadoop project, written in Java, provides a framework for distributed processing of big data sets across clusters of computers, ranging from a few servers to thousands of machines. This harnessing of large data pools allows organizations to better understand and improve their business. AgroSense Project Improving farming methods to feed a hungry world is the goal of AgroSense, an open source farm information management system built in Java and the NetBeans platform. AgroSense enables farmers, agribusinesses, suppliers and others to develop modular applications that will easily exchange information through a common underlying NetBeans framework. JDuchess Rather than focus on a specific geographic area like most Java User Groups (JUGs), JDuchess fosters the participation of women in the Java community worldwide. The group has more than 500 members in 60 countries, and provides a platform through which women can connect with each other and get involved in all aspects of the Java community. Jelastic, Inc. Moving existing Java applications to the cloud can be a daunting task, but startup Jelastic, Inc. offers the first all-Java platform-as-a-service (PaaS) that enables existing Java applications to be deployed in the cloud without code changes or lock-in. Liquid Robotics Robotics – Liquid Robotics is an ocean data services provider whose Wave Glider technology collects information from the world’s oceans for application in government, science and commercial applications. The organization features the “father of Java” James Gosling as its chief software architect. London Java Community The second user group receiving a Duke’s Choice Award this year, the London Java Community (LJC) and its users have been active in the OpenJDK, the Java Community Process (JCP) and other efforts within the global Java community. NATO The first-ever Community Choice Award goes to the MASE Integrated Console Environment (MICE) in use at NATO. Built in Java on the NetBeans platform, MICE provides a high-performance visualization environment for conducting air defense and battle-space operations. Parleys.com E-learning specialist Parleys.com, based in Brussels, Belgium, uses Java technologies to bring online classes and full IT conferences to desktops, laptops, tablets and mobile devices. Parleys.com has hosted more than 1,700 conferences—including Devoxx and JavaOne—for more than 800,000 unique visitors. Student Nokia Developer Group This year’s student winner, Ram Kashyap, is the founder and president of the Nokia Student Network, and was profiled in the “The New Java Developers” feature in the March/April 2012 issue of Java Magazine. Since then, Ram has maintained a hectic pace, graduating from the People’s Education Society Institute of Technology in Bangalore, India, while working on a Java mobile startup and training students on Java ME. United Nations High Commissioner for Refugees The United Nations High Commissioner for Refugees (UNHCR) is on the front lines of crises around the world, from civil wars to natural disasters. To help facilitate its mission of humanitarian relief, the UNHCR has developed a light-client Java application on the NetBeans platform. The Level One registration tool enables the UNHCR to collect information on the number of refugees and their water, food, housing, health, and other needs in the field, and combines that with geocoding information from various sources. This enables the UNHCR to deliver the appropriate kind and amount of assistance where it is needed. You can read more about the winners in the current issue of Java Magazine.

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• How do I configure WakeOnUSB properly?

  - by wishi

  How do I configure Wake-On-USB properly on a 10.04 or 10.10 Ubuntu (2.6.36 and higher if needed)? (Wake-on-USB is when the computer is asleep and for example a USB Keyboard event wakes up the machine!) The notebook is an Acer Aspire Timeline X 1830T. I don't know in which way the Linux Kernel supports the controllers. There are different ways to approach this, for example /proc/acpi/wakeup... or UDEV... or something with HAL? /proc/acpi/wakeup shows every device in S4, but I need S3. Device S-state Status Sysfs node P0P2 S4 *disabled PEGP S4 *disabled P0P1 S0 *disabled pci:0000:00:1e.0 EHC1 S4 *disabled pci:0000:00:1d.0 USB1 S4 *enabled USB2 S4 *disabled USB3 S4 *disabled USB4 S4 *disabled EHC2 S4 *disabled pci:0000:00:1a.0 USB5 S4 *disabled USB6 S4 *disabled USB7 S4 *disabled HDEF S0 *disabled pci:0000:00:1b.0 RP01 S5 *disabled pci:0000:00:1c.0 PXSX S5 *disabled pci:0000:01:00.0 RP02 S0 *disabled pci:0000:00:1c.1 PXSX S5 *disabled pci:0000:02:00.0 RP03 S0 *disabled PXSX S5 *disabled RP04 S0 *disabled PXSX S5 *disabled RP05 S0 *disabled PXSX S5 *disabled RP07 S0 *disabled PXSX S5 *disabled RP08 S0 *disabled PXSX S5 *disabled GLAN S0 *disabled PEG3 S4 *disabled PEG5 S4 *disabled PEG6 S4 *disabled SLPB S3 *enabled S4, which is Suspend-To-Disk afaik... doesn't seem to work either if I echo USB1 into the wakeup table. It just sets an S4 flag. can I get the USB ports in S3? I want to make the machine wakeup from Suspend-To-Ram (S3, ACPI standard) in case a key on my external keyboard is pressed. It only wakes up if a key on the internal Laptop keyboard is pressed... from Suspend To Ram. It seems if I plug in a USB mouse, that the USB port isn't even powered. I have no BIOS option to change this. Further specific information regarding the device: usb-devices T: Bus=01 Lev=02 Prnt=02 Port=01 Cnt=01 Dev#= 13 Spd=1.5 MxCh= 0 D: Ver= 1.10 Cls=00(>ifc ) Sub=00 Prot=00 MxPS= 8 #Cfgs= 1 P: Vendor=04d9 ProdID=1603 Rev=03.10 S: Manufacturer= S: Product=USB Keyboard C: #Ifs= 2 Cfg#= 1 Atr=a0 MxPwr=100mA I: If#= 0 Alt= 0 #EPs= 1 Cls=03(HID ) Sub=01 Prot=01 Driver=usbhid I: If#= 1 Alt= 0 #EPs= 1 Cls=03(HID ) Sub=00 Prot=00 Driver=usbhid root@underwater-laptop:/# lsusb [...] Bus 001 Device 013: ID 04d9:1603 Holtek Semiconductor, Inc. Bus 001 Device 004: ID 0bda:0138 Realtek Semiconductor Corp. Bus 001 Device 002: ID 8087:0020 Intel Corp. Integrated Rate Matching Hub Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub [...] If this doesn't work I have to properly explain why :( - but I think it is very hard to research this kernel internal. Any hints for good information here? I hope it's possible... I'm just looking for any solution. edit: this, waking up on USB, works on Windows! Thanks a lot, Marius

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• MySQL Server 5.6 default my.cnf and my.ini

  - by user12626240

  We've introduced a default my.cnf / my.ini file for MySQL Server that you can now see in the 5.6.8 release candidate: # For advice on how to change settings please see # http://dev.mysql.com/doc/refman/5.6/en/server-configuration-defaults.html [mysqld] # Remove leading # and set to the amount of RAM for the most important data # cache in MySQL. Start at 70% of total RAM for dedicated server, else 10%. # innodb_buffer_pool_size = 128M   # Remove leading # to turn on a very important data integrity option: logging # changes to the binary log between backups. # log_bin   # These are commonly set, remove the # and set as required. # basedir = ..... # datadir = ..... # port = ..... # socket = ..... # server_id = .....   # Remove leading # to set options mainly useful for reporting servers. # The server defaults are faster for transactions and fast SELECTs. # Adjust sizes as needed, experiment to find the optimal values. # join_buffer_size = 128M # sort_buffer_size = 2M # read_rnd_buffer_size = 2M   sql_mode=NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES    There is also a template file called my-default.cnf or my-default.ini that has these lines near the start: # *** DO NOT EDIT THIS FILE. It's a template which will be copied to the # *** default location during install, and will be replaced if you # *** upgrade to a newer version of MySQL.   On Linux systems, the mysql_install_db command will copy the template file to the final location, where the server will read and use the file, removing the extra three lines. On Windows, the installer will create extra settings based on the answers you gave during installation. Neither will overwrite an existing my.cnf or my.ini file. The only initially active setting here is to change the value of  sql_mode from the server default of NO_ENGINE_SUBSTITUTION to NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES. This strict mode changes warnings for some non-standard behaviour into errors. This can cause applications which rely on the non-standard things, like dates that aren't valid, to lose data. If we had just changed the server default, the new setting would affect all servers that lack an explicit sql_mode setting, including those where strict mode is harmful. So we did it in the default file instead because that will only affect new server installations. You should expect that in our next version after 5.6, the server default will include STRICT_TRANS_TABLES. Our Windows installer and some of our connectors already use STRICT_TRANS_TABLES by default. Strict has been our preferred setting for many years and it is good to see some development platforms are using it. If you need the old behaviour, just remove the STRICT_TRANS_TABLES setting. If you do this, please also ask your application provider to make it unnecessary. They can do that by setting the session sql_mode setting in their own connections, so the rest of the applications using the server don't have to have an undesirable default. We've kept this file as small as possible because we found that our old files were too big and confused people. We've also now removed the old my-huge and related example files. One key part of this is the link to the documentation, where we will provide an introduction to some key settings. We'd like to hear your feedback on settings that will benefit most users or are most important to call out for existing users. Please do that by commenting here or if you prefer by adding comments to this bug report.

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• 12.10 unable to install or even run from Live CD with nVidia GTX 580

  - by user99056

  I've used Ubuntu in the past (set up as web server, etc over in Iraq), so I'm not a 100% Linux Noob, however, I'm running into a brick wall here. I've got a machine I built when I got back to the US earlier this year, running Windows 7 Ultimate on it, and I've now got some free time and would like to transition over to Ubuntu full time. I've searched around in the forums, and there seems to be an issue with the nVidia graphics cards, so I've tried going to the EVGA site to see if I could find a new BIOS update for it and had no luck, so I'm back searching the forums here again and decided to just go ahead and post my question. My apologies if this is covered in another post and I was just unable to find it. I've found a few 'similar' posts, but nothing as bad as my issue. With the history aside, here is the actual detailed issue: I purchased a new SSD (Intel 520 SSD), arrived today, and I disconnect my old Windows 7 SSD. I had pre downloaded the ubuntu-12.10-desktop-amd64 earlier today and burned it to DVD. Upon inserting the Live CD into the computer and booting up, everything was fine up to the 'Run From Live CD' or 'Install Ubuntu Now' buttons. As I was sure I wanted to go ahead and make the switch, I selected the 'Install Now' from the right hand side. CD Spins up, black window pops up, and then the errors started: date/time GPU Lockup date/time Failed to idle channel 1 date/time PFIFO - playlist update failed date/time Failed to idle channel 2 date/time PFIFO - playlist update failed Thinking it might correct itself, I let it run and it would swap over to a GUI Screen that was locked up with major blurring/etc, then back to the command line with the errors. Eventually it said something along the lines of 'unknown status' and switched back to the GUI and froze. So, that's when I tried to see if I could find a BIOS upgrade for the nVidia GTX580 cards, and had no luck. So I thought, why not try to just run it from the Live CD and see if I can at least get a look at it, maybe if I could get it running try to do some sort of install from there and fix the driver issue. I rebooted, brought up the Live CD, and this time chose the left option / run from the CD. It brought me all the way in to the desktop, I saw my drives, the other icons, could move the mouse, etc for about 30 seconds and then it locked up completely. I've tried this a couple of times and get the same results every time. Hardware: Intel i7-3930K CPU @ 3.2GHz (12 CPUs) / MSI MS-7760 Motherboard / 32GB RAM / 2 x EVGA (nVidia) GeForce GTX 580 (4GB Ram each) So the question is: Is there any way to install 12.10 if you can't even get the Live CD to run (for more than 30 seconds)? My current hardware configuration is both of the GTX 580 cards have an SLI jumper on them, and I have 2 monitors on each card. (Ubuntu info obviously only shows on the main monitor from the failed installation and the attempt at running the Live CD). Perhaps opening the machine back up and removing the SLI Jumper and removing the other 3 monitors (so it only would have 1 video card with one monitor on it) would actually allow me to get 12.10 installed, then I could work on an nVidia Video Driver fix for the GTX 580, and then possibly hook up the other video card and monitors? Or is this something that they are currently aware of and may update with a future release in the next few days/weeks? Any thoughts or suggestions would be greatly appreciated, as I can't even try to fix the issue (assuming it is the nVidia drivers) if I can't even get it to install at all.

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• what can be causes of http server crash?

  - by mithunmo

  Hello , I am using WAMP server on Windows XP. - Apache 2.2.11 - MySQL 5.1.36 (INNODB engine) - PHP 5.3.0 I observe that my WAMP server crashes in the following scenarios 1) IF I use a Low end PC ( low processor speed and low RAM) 2) After making some changes to httpd.conf file .For eg changing the Allow from IP address . But here it crashes only once and then it starts to work fine. 3) Random crashes CRASH LOG szAppName : httpd.exe szAppVer : 2.2.11.0 szModName : php5ts.dll szModVer : 5.3.0.0 offset : 0000c309 C:\DOCUME~1\blrcom\LOCALS~1\Temp\WERc677.dir00\httpd.exe.mdmp C:\DOCUME~1\blrcom\LOCALS~1\Temp\WERc677.dir00\appcompat.txt My questions 1) Does high CPU utilization/LOW RAM can also cause the HTTP server to crash ? 2) excessive file reading as in every 10 seconds ? 3) unlimited script execution time . I have set the maximum execution time in php script to 0 as my script has to execute for sometimes 2-3 days. Is there any way to avoid this ? 4) Access to Database ? Should we use lock before reading and writing Can these be the reasons for random wamp server crashes ? OR is is some other programming error ? Please guide me . Regards, Mithun

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• Checking for Repeated Strings in 2d list

  - by Zach Santiago

  i have a program where i have a list of names and classes. i have the list in alphabetical order. now im trying to check if names repeat, add the classes to one single name. im trying to write some code like go through names if name is already in list, add the class to the one name. so an example would be, instead of having 'Anita ','phys 1443', and 'Anita','IE 3312' i would just have 'Anita','PHYS 1443','IE 3312'. How would i go about doing this in a logival way, WITHOUT using any sort of built in functions? i tried comparing indexe's like if list[i][0] == list[i+1][0], append list[i+1][1] to an emptylist. while that almost worked, it would screw up at some points along the way. here is my attempt size = len(c) i = 0 c = [['Anita', 'PHYS 1443'], ['Anita', 'IE 3312'], ['Beihuang', 'PHYS 1443'], ['Chiao-Lin', 'MATH 1426'], ['Chiao-Lin', 'IE 3312'], ['Christopher', 'CSE 1310'], ['Dylan', 'CSE 1320'], ['Edmund', 'PHYS 1443'], ['Ian', 'IE 3301'], ['Ian', 'CSE 1320'], ['Ian', 'PHYS 1443'], ['Isis', 'PHYS 1443'], ['Jonathan', 'MATH 2325'], ['Krishna', 'MATH 2325'], ['Michael', 'IE 3301'], ['Nang', 'MATH 2325'], ['Ram', 'CSE 1320'], ['Taesu', 'CSE 1320'], ["Tre'Shaun", 'IE 3312'], ["Tre'Shaun", 'MATH 2325'], ["Tre'Shaun", 'CSE 1310']] ## Check if any names repeat d.append(c[0][0]) while i < size - 1 : if c[i][0] == c[i+1][0] : d.append(c[i][1]) d.append(c[i+1][1]) else : d.append(c[i+1][0]) d.append(c[i+1][1]) i = i + 1 print d output was. ['Anita', 'PHYS 1443', 'IE 3312', 'Beihuang', 'PHYS 1443', 'Chiao-Lin', 'MATH 1426', 'MATH 1426', 'IE 3312', 'Christopher', 'CSE 1310', 'Dylan', 'CSE 1320', 'Edmund', 'PHYS 1443', 'Ian', 'IE 3301', 'IE 3301', 'CSE 1320', 'CSE 1320', 'PHYS 1443', 'Isis', 'PHYS 1443', 'Jonathan', 'MATH 2325', 'Krishna', 'MATH 2325', 'Michael', 'IE 3301', 'Nang', 'MATH 2325', 'Ram', 'CSE 1320', 'Taesu', 'CSE 1320', "Tre'Shaun", 'IE 3312', 'IE 3312', 'MATH 2325', 'MATH 2325', 'CSE 1310']

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• Surprising results with .NET multi-theading algorithm

  - by Myles J

  Hi, I've recently wrote a C# console time tabling algorithm that is based on a combination of a genetic algorithm with a few brute force routines thrown in. The initial results were promising but I figured I could improve the performance by splitting the brute force routines up to run in parallel on multi processor architectures. To do this I used the well documented Producer/Consumer model (as documented in this fantastic article http://www.albahari.com/threading/part2.aspx#_ProducerConsumerQWaitHandle). I changed my code to create one thread per logical processor during the brute force routines. The performance gains on my work station were very pleasing. I am running Windows XP on the following hardware: Intel Core 2 Quad CPU 2.33 GHz 3.49 GB RAM Initial tests indicated average performance gains of approx 40% when using 4 threads. The next step was to deploy the new multi-threading version of the algorithm to our higher spec UAT server. Here is the spec of our UAT server: Windows 2003 Server R2 Enterprise x64 8 cpu (Quad-Core) AMD Opteron 2.70 GHz 255 GB RAM After running the first round of tests we were all extremely surprised to find that the algorithm actually runs slower on the high spec W2003 server than on my local XP work station! In fact the tests seem to indicate that it doesn't matter how many threads are generated (tests were ran with the app spawning between 2 to 32 threads). The algorithm always runs significantly slower on the UAT W2003 server? How could this be? Surely the app should run faster on a 8 cpu (Quad-Core) than my 2 Quad work station? Why are we seeing no performance gains with the multi-threading on the W2003 server whilst the XP workstation tests show gains of up to 40%? Any help or pointers would be appreciated. Regards Myles

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• Linux Lightweight Distro and X Windows for Development

  - by Fernando Barrocal

  Heyall... I want to build a lightweight linux configuration to use for development. The first idea is to use it inside a Virtual Machine under Windows, or old Laptops with 1Gb RAM top. Maybe even a distributable environment for developers. So the whole idea is to use a LAMP server, Java Application Server (Tomcat or Jetty) and X Windows (any Window manager, from FVWM to Enlightment), Eclipse, maybe jEdit and of course Firefox. Edit: I am changing this post to compile a possible list of distros and window managers that can be used to configure a real lightweight development environment. I am using as base personal experiences on this matter. Info about the distros can be easily found in their sites. So please, focus on personal use of those systems Distros Ubuntu / Xubuntu Pros: Personal Experience in old systems or low RAM environment - @Schroeder, @SCdF Several sugestions based on personal knowledge - @Kyle, @Peter Hoffmann Gentoo Pros: Not targeted to Desktop Users - @paan Don't come with a huge ammount of applications - @paan Slackware Pros: Suggested as best performance in a wise install/configuration - @Ryan Damn Small Linux Pros: Main focus is the lightweight factor - 50MB LiveCD - @Ryan Debian Pros: Very versatile, can be configured for both heavy and lightweight computers - @Ryan APT as package manager - @Kyle Based on compatibility and usability - @Kyle -- Fell Free to add Prós and Cons on this, so we can compile a good Reference. -- X Windows suggestion keep coming about XFCE. If others are to add here, open a session for it Like the distro one :)

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• Query optimization (OR based)

  - by john194

  I have googled but I can't find answers for these questions. Your advice is appreciated. centOS on vps with 512MB RAM, nginx, php5 (fastcgi), mysql5 (myisam, not innodb). I need to optimize this app created by some ex-employee. This app is working, but it's slow. Table: t1(id[bigint(20)],c1[mediumtext],c2[mediumtext],c3[mediumtext],c4[mediumtext]) id is some random big number, and is PK Those mediumtext rows look like this: c1="|box-002877|" c2="|ct-2348|rd-11124854|hw-3949|wd-8872|hw-119037736|...etc.. " c3="|fg-2448|wd-11172|hw-1656|...etc.. " c4="|hg-2448|qd-16667|...etc." (some columns contain a lot of data, around 900 KiB, database around 300 MiB) Yes, mediumtext "is bad", and (20) is too big... but I didn't create this. Those codes can be found on any of those 4 mediumtext's... //he needs all the columns of the row containing $code, so he wrote this: function f1($code) { SELECT * FROM t1 WHERE c1 LIKE '%$code%' OR c2 LIKE '%$code%' OR c3 LIKE '%$code%' OR c4 LIKE '%$code%'; Questions: Q1. If $code is found on c1... mysql automatically stops checking and returns row=id+c1+c2+c3+c4? or it will continue (wasting time) checking c2, c3 and c4?... Q2. Mysql is working with this table on disk (not RAM) because of the mediumtext, right? is this the primary cause of slowness? Q3. That query can be cached by mysql (if using a big query_cache_size=128M value on the my.cnf)? or that's not cacheable due to the mediumtexts, or due to the "OR LIKE"...? Q4. Do you recommend rewriting this with mysql's INSTR() / LOCATE() / MATCH..AGAINST [FULLTEXT]?

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• how to force operating system to give java more memory?

  - by Denny

  Hello, I've got problem with java jar files and memory. I use netbeans 6.7 to develop an application and this application need more memory to run because it converts another files. Whenever this application convert a 6-10 mb file, it'll crash. So I set netbeans VM Options : -Xms32m -Xmx256m and the application can convert 6-10mb files with no problem. I Clean and Build the project so it can make a jar file of my application. I run the jar on my computer and use jconsole to monitor the memory. The maximum memory to use by the application shows 256 mb. But whenever I move it to some other computers, it shows 65-66 mb on jconsole and the application will crash when convert 6-10 mb files. So I need to use command prompt : java -jar -Xmx256m myjar.jar to execute the jar with maximum memory Why it can be happen, in my computer the maximum memory shows 256 mb but on another computer 65-66 mb? Can I force another computer to give extra maximum memory to my application? Thank you for your answer. I'm sorry for my inadequate English. If you all find my question is hard to understand, please let me know. Best Regards Denny ps: fyi the computer i used to develop the application have 2gb ram, on the other computers i tested have 1-2 gb ram.

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• S3 Backup Memory Usage in Python

  - by danpalmer

  I currently use WebFaction for my hosting with the basic package that gives us 80MB of RAM. This is more than adequate for our needs at the moment, apart from our backups. We do our own backups to S3 once a day. The backup process is this: dump the database, tar.gz all the files into one backup named with the correct date of the backup, upload to S3 using the python library provided by Amazon. Unfortunately, it appears (although I don't know this for certain) that either my code for reading the file or the S3 code is loading the entire file in to memory. As the file is approximately 320MB (for today's backup) it is using about 320MB just for the backup. This causes WebFaction to quit all our processes meaning the backup doesn't happen and our site goes down. So this is the question: Is there any way to not load the whole file in to memory, or are there any other python S3 libraries that are much better with RAM usage. Ideally it needs to be about 60MB at the most! If this can't be done, how can I split the file and upload separate parts? Thanks for your help. This is the section of code (in my backup script) that caused the processes to be quit: filedata = open(filename, 'rb').read() content_type = mimetypes.guess_type(filename)[0] if not content_type: content_type = 'text/plain' print 'Uploading to S3...' response = connection.put(BUCKET_NAME, 'daily/%s' % filename, S3.S3Object(filedata), {'x-amz-acl': 'public-read', 'Content-Type': content_type})

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• 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

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• What is optimal hardware configuration for heavy load LAMP application

  - by Piotr Kochanski

  I need to run Linux-Apache-PHP-MySQL application (Moodle e-learning platform) for a large number of concurrent users - I am aiming 5000 users. By concurrent I mean that 5000 people should be able to work with the application at the same time. "Work" means not only do database reads but writes as well. The application is not very typical, since it is doing a lot of inserts/updates on the database, so caching techniques are not helping to much. We are using InnoDB storage engine. In addition application is not written with performance in mind. For instance one Apache thread usually occupies about 30-50 MB of RAM. I would be greatful for information what hardware is needed to build scalable configuration that is able to handle this kind of load. We are using right now two HP DLG 380 with two 4 core processors which are able to handle much lower load (typically 300-500 concurrent users). Is it reasonable to invest in this kind of boxes and build cluster using them or is it better to go with some more high-end hardware? I am particularly curious how many and how powerful servers are needed (number of processors/cores, size of RAM) what network equipment should be used (what kind of switches, network cards) any other hardware, like particular disc storage solutions, etc, that are needed Another thing is how to put together everything, that is what is the most optimal architecture. Clustering with MySQL is rather hard (people are complaining about MySQL Cluster, even here on Stackoverflow).

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• ASP.NET Memory Usage in IIS is FAR greater than in DevEnv. Is this normal?

  - by Tom

  Greetings! I have an ASP.NET app that scrapes data from a handful of external pages, parses the relevant bits and displays them in a table. Total data retrieved is 3-4MB and the resulting page is about 1MB. I am using synchronous WebRequest GetResponse for the retrieval, but the same problem existed using an asynchronous BeginGetResponse/EndGetResponse process. There is no database access, no session storage, no caching, but an in-memory list of about 100 objects (total 1MB of data), plus a good amount of AJAX (AjaxControlToolkit). This issue appears on the very first run of the app, even if I have restarted IIS. The issue: When I run the app on my dev computer, the maximum commit charge is about 1.5GB. The biggest user, measured by Task Manager's VM Size, is WebDev.WebServer.exe (600MB). The app runs perfectly. When I run it on my rent-a-server (IIS 7.5, 1GB RAM), the maximum commit charge is over 3.8GB. The biggest user is w3wp.exe at 2.7GB. IIS grinds to a halt and spits out a timed-out error page. Given my limited server budget and the hope of having multiple simultaneous users, I'm kind of in a panic. Is this normal? If I bump the server RAM up to 4GB, will that be enough? Will multiple users require even more memory? Could the culprit be AJAX or the list of objects? Thanks for any insight you can provide.

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• How to manipulate *huge* amounts of data

  - by Alejandro

  Hi there! I'm having the following problem. I need to store huge amounts of information (~32 GB) and be able to manipulate it as fast as possible. I'm wondering what's the best way to do it (combinations of programming language + OS + whatever you think its important). The structure of the information I'm using is a 4D array (NxNxNxN) of double-precission floats (8 bytes). Right now my solution is to slice the 4D array into 2D arrays and store them in separate files in the HDD of my computer. This is really slow and the manipulation of the data is unbearable, so this is no solution at all! I'm thinking on moving into a Supercomputing facility in my country and store all the information in the RAM, but I'm not sure how to implement an application to take advantage of it (I'm not a professional programmer, so any book/reference will help me a lot). An alternative solution I'm thinking on is to buy a dedicated server with lots of RAM, but I don't know for sure if that will solve the problem. So right now my ignorance doesn't let me choose the best way to proceed. What would you do if you were in this situation? I'm open to any idea. Thanks in advance!

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• Is there any reason to use C instead of C++ for embedded development?

  - by Piotr Czapla

  Question I have two compilers on my hardware C++ and C89 I'm thinking about using C++ with classes but without polymorphism (to avoid vtables). The main reasons I’d like to use C++ are: I prefer to use “inline” functions instead of macro definitions. I’d like to use namespaces as I prefixes clutter the code. I see C++ a bit type safer mainly because of templates, and verbose casting. I really like overloaded functions and constructors (used for automatic casting). Do you see any reason to stick with C89 when developing for very limited hardware (4kb of RAM)? Conclusion Thank you for your answers, they were really helpful! I though the subject through and I will stick with C mainly because: It is easier to predict actual code in C and this is really important if you have only 4kb of ram. My team consists of C developers mainly so advance features of C++ won't be frequently used. I've found a way to inline functions in my C compiler (C89). It is hard to accept one answer as you provided so many good answers. Unfortunately I can't create a wiki and accept it so I will choose one answer that made me think most.

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• C# : Forcing a clean run in a long running SQL reader loop?

  - by Wardy

  I have a SQL data reader that reads 2 columns from a sql db table. once it has done its bit it then starts again selecting another 2 columns. I would pull the whole lot in one go but that presents a whole other set of challenges. My problem is that the table contains a large amount of data (some 3 million rows or so) which makes working with the entire set a bit of a problem. I'm trying to validate the field values so i'm pulling the ID column then one of the other cols and running each value in the column through a validation pipeline where the results are stored in another database. My problem is that when the reader hits the end of handlin one column I need to force it to immediately clean up every little block of ram used as this process uses about 700MB and it has about 200 columns to go through. Without a full Garbage Collect I will definately run out of ram. Anyone got any ideas how I can do this? I'm using lots of small reusable objects, my thought was that I could just call GC.Collect() on the end of each read cycle and that would flush everything out, unfortunately that isn't happening for some reason.

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• Trying to write up a C daemon, but don't know enough C to continue

  - by JamesM-SiteGen

  Okay, so I want this daemon to run in the background with little to no interaction. I plan to have it work with Apache, lighttpd, etc to send the session & request information to allow C to generate a website from an object DB, saving will have to be an option so, you can start the daemon with an existing DB but will not save to it unless you login to the admin area and enable, and restart the daemon. Summary of the daemon: Load a database from file. Have a function to restart the daemon. Allow Apache, lighttpd, etc to get necessary data about the request and session. A varible to allow the database to be saved to the file, otherwise it will only be stored in ram. If it is set to save back to the file, then only have neccessary data in ram. Use sql-light for the database file. Build a webpage from some template files. $(myVar) for getting variables. Get templates from a directory. ./templates/01-test/{index.html,template.css,template.js} Live version of the code and more information: http://typewith.me/YbGB1h1g1p Also I am working on a website CMS in php, but I am tring to switch to C as it is faster than php. ( php is quite fast, but the fact that making a few mySQL requests for every webpage is quite unefficent and I'm sure that it can be far better, so an object that we can recall data from in C would have to be faster ) P.S I am using Arch-Linux not MS-Windows, with the package group base-devel for the common developer tools such as make and makepgk. Edit: Oupps, forgot the question ;) Okay, so the question is, how can I turn this basic C daemon into a base to what I am attempting to do here?

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• How can I improve the performance of LinqToSql queries that use EntitySet properties?

  - by DanM

  I'm using LinqToSql to query a small, simple SQL Server CE database. I've noticed that any operations involving sub-properties are disappointingly slow. For example, if I have a Customer table that is referenced by an Order table, LinqToSql will automatically create an EntitySet<Order> property. This is a nice convenience, allowing me to do things like Customer.Order.Where(o => o.ProductName = "Stopwatch"), but for some reason, SQL Server CE hangs up pretty bad when I try to do stuff like this. One of my queries, which isn't really that complicated takes 3-4 seconds to complete. I can get the speed up to acceptable, even fast, if I just grab the two tables individually and convert them to List<Customer> and List<Order>, then join then manually with my own query, but this is throwing out a lot of what makes LinqToSql so appealing. So, I'm wondering if I can somehow get the whole database into RAM and just query that way, then occasionally save it. Is this possible? How? If not, is there anything else I can do to boost the performance besides resorting to doing all the joins manually? Note: My database in its initial state is about 250K and I don't expect it to grow to more than 1-2Mb. So, loading the data into RAM certainly wouldn't be a problem from a memory point of view. Update Here are the table definitions for the example I used in my question: create table Order ( Id int identity(1, 1) primary key, ProductName ntext null ) create table Customer ( Id int identity(1, 1) primary key, OrderId int null references Order (Id) )

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• Non standard interaction among two tables to avoid very large merge

  - by riko

  Suppose I have two tables A and B. Table A has a multi-level index (a, b) and one column (ts). b determines univocally ts. A = pd.DataFrame( [('a', 'x', 4), ('a', 'y', 6), ('a', 'z', 5), ('b', 'x', 4), ('b', 'z', 5), ('c', 'y', 6)], columns=['a', 'b', 'ts']).set_index(['a', 'b']) AA = A.reset_index() Table B is another one-column (ts) table with non-unique index (a). The ts's are sorted "inside" each group, i.e., B.ix[x] is sorted for each x. Moreover, there is always a value in B.ix[x] that is greater than or equal to the values in A. B = pd.DataFrame( dict(a=list('aaaaabbcccccc'), ts=[1, 2, 4, 5, 7, 7, 8, 1, 2, 4, 5, 8, 9])).set_index('a') The semantics in this is that B contains observations of occurrences of an event of type indicated by the index. I would like to find from B the timestamp of the first occurrence of each event type after the timestamp specified in A for each value of b. In other words, I would like to get a table with the same shape of A, that instead of ts contains the "minimum value occurring after ts" as specified by table B. So, my goal would be: C: ('a', 'x') 4 ('a', 'y') 7 ('a', 'z') 5 ('b', 'x') 7 ('b', 'z') 7 ('c', 'y') 8 I have some working code, but is terribly slow. C = AA.apply(lambda row: ( row[0], row[1], B.ix[row[0]].irow(np.searchsorted(B.ts[row[0]], row[2]))), axis=1).set_index(['a', 'b']) Profiling shows the culprit is obviously B.ix[row[0]].irow(np.searchsorted(B.ts[row[0]], row[2]))). However, standard solutions using merge/join would take too much RAM in the long run. Consider that now I have 1000 a's, assume constant the average number of b's per a (probably 100-200), and consider that the number of observations per a is probably in the order of 300. In production I will have 1000 more a's. 1,000,000 x 200 x 300 = 60,000,000,000 rows may be a bit too much to keep in RAM, especially considering that the data I need is perfectly described by a C like the one I discussed above. How would I improve the performance?

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• Which open source repository or version control systems store files' original mtime, ctime and atime

  - by sampablokuper

  I want to create a personal digital archive. I want to be able to check digital files (some several years old, some recent, some not yet created) into that archive and have them preserved, along with their metadata such as ctime, atime and mtime. I want to be able to check these files out of that archive, modify their contents and commit the changes back to the archive, while keeping the earlier commits and their metadata intact. I want the archive to be very reliable and secure, and able to be backed up remotely. I want to be able to check files in and out of the archive from PCs running Linux, Mac OS X 10.5+ or Win XP+. I want to be able to check files in and out of the archive from PCs with RAM capacities lower than the size of the files. E.g. I want to be able to check in/out a 13GB file using a PC with 2GB RAM. I thought Subversion could do all this, but apparently it can't. (At least, it couldn't a couple of years ago and as far as I know it still can't; correct me if I'm wrong.) Is there a libre VCS or similar capable of all these things? Thanks for your help.

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• MySQL 5.5.8 Gets Periodic Lag

  - by CYREX

  Am using MySQL 5.5.8 on an Ubuntu system and every X amount of time it creates a huge lag that lasts a couple of seconds. Then all goes back to normal until the next lag. The time period varies but it looks like it happen periodically. Am using InnoDB. It is like hiccups in the MySQL. What could be creating this sort of periodic problem. Do not have any cron jobs or process running every time the X period happens. The X period could be between 30 minutes to 2 hours. So for example it could happen every 30 minutes for the next 12 hours or it could happen every 2 hours for the next 8 hours. key_buffer_size = 256M max_allowed_packet = 1M table_cache = 1024 table_open_cache = 1024 sort_buffer_size = 2M read_buffer_size = 2M read_rnd_buffer_size = 4M myisam_sort_buffer_size = 32M thread_cache_size = 128 query_cache_size= 128M log-slow-queries = slow.log long_query_time = 5 log-queries-not-using-indexes # Try number of CPU's*2 for thread_concurrency thread_concurrency = 4 max_connections=512 #innodb_data_file_path = ibdata1:10M:autoextend #innodb_log_group_home_dir = /usr/local/mysql/data # You can set .._buffer_pool_size up to 50 - 80 % # of RAM but beware of setting memory usage too high innodb_buffer_pool_size = 1G #innodb_additional_mem_pool_size = 20M # Set .._log_file_size to 25 % of buffer pool size #innodb_log_file_size = 64M #innodb_log_buffer_size = 8M #innodb_flush_log_at_trx_commit = 0 #innodb_lock_wait_timeout = 50 [mysqldump] quick max_allowed_packet = 16M [myisamchk] key_buffer_size = 64M sort_buffer_size = 64M read_buffer = 2M write_buffer = 2M There are about 200+ tables divided in 3 databases. The most written too is in InnoDB. The other ones are more read. Several of the tables in the InnoDB have more than 2 million records. The other databases top at about 400 thousand records and do not change so often. The PC is a Core 2 Duo 8400 with 4GB RAM, 32Bit Ubuntu.

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• php check box selection

  - by DAFFODIL

  I have a form in which data fro back end will be listed out in table.There will a chk box at beginning of each row. For eg,if there are 10 items and ,i need only two items,i ii chk in check box,when i press print it should be passed to print page. Mates thnx in advance. mysql_select_db("form1", $con); error_reporting(E_ALL ^ E_NOTICE); $nam=$_REQUEST['select1']; $row=mysql_query("select * from inv where name='$nam'"); while($row1=mysql_fetch_array($row)) { $Name=$row1['Name']; $Address =$row1['Address']; $City=$row1['City']; $Pincode=$row1['Pincode']; $No=$row1['No']; $Date=$row1['Date']; $DCNo=$row1['DCNo']; $DcDate=$row1['DcDate']; $YourOrderNo=$row1['YourOrderNo']; $OrderDate=$row1['OrderDate']; $VendorCode=$row1['VendorCode']; $SNo=$row1['SNo']; $descofgoods=$row1['descofgoods']; $Qty=$row1['Qty']; $Rate=$row1['Rate']; $Amount=$row1['Amount']; } ? Untitled Document function ram(id) { var q=document.getElementById('qty_'+id).value; var r=document.getElementById('rate_'+id).value; document.getElementById('amt_'+id).value=q*r; } function g() { form1.submit(); } Name select " Address City ' / Pincode ' No ' readonly="" / Date ' readonly="" / DCNo ' readonly="" / DcDate: ' / YourOrderNo ' readonly="" / OrderDate ' readonly="" / VendorCode ' readonly="" /   SNO DESCRIPTION QUANTITY RATE/UNIT AMOUNT ' readonly=""/ ' / "/ ' id="rate_" onclick="ram('')"; "/ "Print

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