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  • On linux, what does it mean when a directory has size 0 instead of 4096?

    - by kdt
    Here's a strange thing I haven't seen before -- a directory whose size is reported by ls as 0 instead of 4096, and I can't create any files within it. # ls -ld lib home drwxr-xr-x. 2 root root 0 Feb 7 03:10 home <-- it has zero size dr-xr-xr-x. 11 root root 4096 Feb 4 09:28 lib # touch home/foo touch: cannot touch `home/foo': No such file or directory <-- and I can't create files in it # rm home rm: cannot remove `home': Is a directory <-- look, it really is a dir So what does it mean for a directory to have size 0 instead of 4096? Filesystem is ext4 on fedora core 14. The output of mount is: /dev/mapper/vg_dev-lv_root on / type ext4 (rw) proc on /proc type proc (rw) sysfs on /sys type sysfs (rw) devpts on /dev/pts type devpts (rw,gid=5,mode=620) tmpfs on /dev/shm type tmpfs (rw,rootcontext="system_u:object_r:tmpfs_t:s0") /dev/vda1 on /boot type ext4 (rw) none on /proc/sys/fs/binfmt_misc type binfmt_misc (rw) sunrpc on /var/lib/nfs/rpc_pipefs type rpc_pipefs (rw) Output of du -s /home: 0 /home Output of stat /home: File: `/home' Size: 0 Blocks: 0 IO Block: 1024 directory Device: 15h/21d Inode: 34913 Links: 2 Access: (0755/drwxr-xr-x) Uid: ( 0/ root) Gid: ( 0/ root) Access: 2011-02-07 03:45:46.188995765 -0800 Modify: 2011-02-07 03:11:59.980995019 -0800 Change: 2011-02-06 07:58:45.874995002 -0800

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  • Slow tracepath on local LAN

    - by Simone Falcini
    I am on EXSi and I have 2 instances: Ubuntu and CentOS. These are the network configurations Ubuntu eth0 Link encap:Ethernet HWaddr 00:50:56:00:1f:68 inet addr:212.83.153.71 Bcast:212.83.153.71 Mask:255.255.255.255 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:76059 errors:0 dropped:26 overruns:0 frame:0 TX packets:7224 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:6482760 (6.4 MB) TX bytes:2080684 (2.0 MB) eth1 Link encap:Ethernet HWaddr 00:0c:29:46:5a:f2 inet addr:192.168.1.1 Bcast:192.168.1.255 Mask:255.255.255.0 UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:252 errors:0 dropped:0 overruns:0 frame:0 TX packets:608 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:42460 (42.4 KB) TX bytes:82474 (82.4 KB) /etc/iptables.conf *nat :PREROUTING ACCEPT [142:12571] :INPUT ACCEPT [5:1076] :OUTPUT ACCEPT [8:496] :POSTROUTING ACCEPT [8:496] -A POSTROUTING -s 192.168.1.0/24 -o eth0 -j MASQUERADE COMMIT *filter :INPUT ACCEPT [2:72] :FORWARD ACCEPT [4:336] :OUTPUT ACCEPT [6:328] -A INPUT -i eth1 -p tcp -j ACCEPT -A INPUT -i eth1 -p udp -j ACCEPT -A INPUT -i eth0 -p tcp --dport ssh -j ACCEPT COMMIT CentOS eth0 Link encap:Ethernet HWaddr 00:0C:29:74:1C:55 inet addr:192.168.1.2 Bcast:192.168.1.255 Mask:255.255.255.0 inet6 addr: fe80::20c:29ff:fe74:1c55/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:499 errors:0 dropped:0 overruns:0 frame:0 TX packets:475 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:68326 (66.7 KiB) TX bytes:82641 (80.7 KiB) The main problem is that if i execute this command from the CentOS instance ssh 192.168.1.2 it takes more than 20s to connect. It seems like it's routing the connection to the wrong network. What could it be? Thanks!

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  • Ways to parse NCSA combined based log files

    - by Kyle
    I've done a bit of site: searching with Google on Server Fault, Super User and Stack Overflow. I also checked non site specific results and and didn't really see a question like this, so here goes... I did spot this question, related to grep and awk which has some great knowledge but I don't feel the text qualification challenge was addressed. This question also broadens the scope to any platform and any program. I've got squid or apache logs based on the NCSA combined format. When I say based, meaning the first n col's in the file are per NCSA combined standards, there might be more col's with custom stuff. Here is an example line from a squid combined log: 1.1.1.1 - - [11/Dec/2010:03:41:46 -0500] "GET http://yourdomain.com:8080/en/some-page.html HTTP/1.1" 200 2142 "-" "Mozilla/5.0 (Windows; U; Windows NT 6.1; C) AppleWebKit/532.4 (KHTML, like Gecko)" TCP_MEM_HIT:NONE I'd like to be able to parse n logs and output specific columns, for sorting, counting, finding unique values etc The main challenge and what makes it a little tricky and also why I feel this question hasn't yet been asked or answered, is the text qualification conundrum. When I spotted asql from the grep/awk question, I was very excited but then realised that it didn't support combined out of the box, something I'll look at extending I guess. Looking forward to answers, and learning new stuff! Answers doesn't have to be limited to platform or program/language. For the context of this question, the platforms I use the most are Linux or OSX. Cheers

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  • Nginx + Apache + Wordpress redirects to localhost/127.0.0.1

    - by jcrcj
    Anyone know how to fix an issue with Nginx + Apache + Wordpress redirecting to localhost/127.0.0.1? I've tried a lot of different fixes, but none have worked for me. I can go to http://domain.com/wp-admin just fine and use everything there normally. But if I try to go to http://domain.com it redirects to 127.0.0.1. Everything also works fine if I just run through Apache. Here are the relevant portions of my nginx.conf: server { listen 80; server_name domain.com; root /var/www/html/wordpress; location / { try_files $uri $uri/ /index.php; } location ~ \.php$ { proxy_pass http://127.0.0.1:8080; } } Here are the relevant portions of my httpd.conf: Listen *:8080 ServerName <ip> <VirtualHost *:8080> ServerAdmin test@test DocumentRoot /var/www/html/wordpress ServerName domain.com </VirtualHost> This is what my nginx log loks like: <ip> - - [19/Jun/2012:22:35:35 +0400] "GET / HTTP/1.1" 301 0 "-" "Mozilla/5.0 This is what my httpd log looks like: 127.0.0.1 - - [19/Jun/2012:22:24:46 +0400] "GET /index.php HTTP/1.0" 301 - "-" -- WordPress Address (URL) and Site Address (URL) both have same http://domain.com

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  • Backtrack, Wi-Fi not working

    - by hradecek
    I've installed Backtrack 5R3 KDE, and I realized that my wireless is not working, but wired is working fine. Here's the lshw output: *-network description: Ethernet interface product: RTL8101E/RTL8102E PCI Express Fast Ethernet controller vendor: Realtek Semiconductor Co., Ltd. physical id: 0 bus info: pci@0000:02:00.0 logical name: eth0 version: 05 serial: 04:7d:7b:b7:46:f8 size: 100MB/s capacity: 100MB/s width: 64 bits clock: 33MHz capabilities: pm msi pciexpress msix vpd bus_master cap_list ethernet physical tp mii 10bt 10bt-fd 100bt 100bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=r8169 driverversion=2.3LK-NAPI duplex=full firmware=rtl_nic/rtl8105e-1.fw ip=192.168.2.2 latency=0 link=yes multicast=yes port=MII speed=100MB/s resources: irq:42 ioport:2000(size=256) memory:f0404000-f0404fff memory:f0400000-f0403fff lspci output: 00:00.0 Host bridge: Intel Corporation 2nd Generation Core Processor Family DRAM Controller (rev 09) 00:02.0 VGA compatible controller: Intel Corporation 2nd Generation Core Processor Family Integrated Graphics Controller (rev 09) 00:14.0 USB Controller: Intel Corporation Panther Point USB xHCI Host Controller (rev 04) 00:16.0 Communication controller: Intel Corporation Panther Point MEI Controller #1 (rev 04) 00:1a.0 USB Controller: Intel Corporation Panther Point USB Enhanced Host Controller #2 (rev 04) 00:1b.0 Audio device: Intel Corporation Panther Point High Definition Audio Controller (rev 04) 00:1c.0 PCI bridge: Intel Corporation Panther Point PCI Express Root Port 1 (rev c4) 00:1c.1 PCI bridge: Intel Corporation Panther Point PCI Express Root Port 2 (rev c4) 00:1d.0 USB Controller: Intel Corporation Panther Point USB Enhanced Host Controller #1 (rev 04) 00:1f.0 ISA bridge: Intel Corporation Panther Point LPC Controller (rev 04) 00:1f.2 SATA controller: Intel Corporation Panther Point 6 port SATA AHCI Controller (rev 04) 00:1f.3 SMBus: Intel Corporation Panther Point SMBus Controller (rev 04) 02:00.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL8101E/RTL8102E PCI Express Fast Ethernet controller (rev 05)

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  • Getting dwl-g122 to work on ubuntu

    - by User1
    I have a USB WiFi adapter, D-Link dwl-g122. I'm running Ubuntu 10.4. My laptop has a built-in wireless card that is connecting fine to the router. I plug in the usb and it never really connects. Here are some details: iwconfig wlan1 IEEE 802.11bg ESSID:"\x0B\xE1..." Mode:Managed Frequency:2.457 GHz Access Point: Not-Associated Tx-Power=19 dBm Retry long limit:7 RTS thr:off Fragment thr:off Power Management:on lshw -c network: *-network:1 description: Wireless interface physical id: 3 logical name: wlan1 serial: 00:13:46:8b:xx:xx capabilities: ethernet physical wireless configuration: broadcast=yes multicast=yes wireless=IEEE 802.11bg dmesg [ 1096.814176] wlan1: direct probe to AP xxx (try 1) [ 1096.820960] wlan1: direct probe responded [ 1096.820969] wlan1: authenticate with AP xxx (try 1) [ 1096.823790] wlan1: authenticated [ 1096.823869] wlan1: associate with AP xxx (try 1) [ 1096.827667] wlan1: RX AssocResp from xxx (capab=0x411 status=0 aid=1) [ 1096.827674] wlan1: associated [ 1142.590912] wlan1: deauthenticating from xxx by local choice (reason=3) lsmod|rt2 rt2500usb 19643 0 rt2x00usb 11260 1 rt2500usb rt2x00lib 32133 2 rt2500usb,rt2x00usb mac80211 238896 3 ath5k,rt2x00usb,rt2x00lib cfg80211 148725 4 ath5k,ath,rt2x00lib,mac80211 led_class 3764 3 ath5k,rt2x00lib,sdhci It looks like the driver loads but it doesn't feel like connecting. The behavior is identical even if I blacklist the other wifi card (using an ath5k driver). It's almost like it is using the wrong password or something. Does anyone know what is happening? Is anyone using Ubuntu successful?

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  • VMware guest pauses when the host is idle - how do I keep it running?

    - by EMP
    I'm running VMWare Worstation 7 with Windows 7 x64 as guest, Windows XP x64 as host. Inside the guest I run a long-running console application, which prints out progress messages with timestamps on them. Sometimes I leave it running for several hours while I lock the host OS and don't touch the computer at all. When I come back I find that some time after I left it seems to have paused and automatically resumed: the console app hasn't made much progress and there's a large time gap in its progress messages. There's nothing relevant in the host event log, but in the guest Application event log I can see these messages around the time I left: A request to disable the Desktop Window Manager was made by process (VMware Tools Service) The Desktop Window Manager was unable to start because composition was disabled by a running application And later, around the time I returned, this shows up in the System log: The system time has changed to ?2012?-?01?-?12T06:36:46.921000000Z from ?2012?-?01?-?12T03:18:19.953079000Z. That seems to support my theory that it's VMware doing something and not Windows itself. The question is: how do I stop it doing that? I want my application to continue running. By the way, the power options are set to never sleep in both guest and host.

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  • Wi-Fi won't automatically connect (box in Windows configuration gets unchecked)

    - by greg88
    The checkbox that says "Use windows to configure my wireless network settings" keeps getting unchecked (Wirless Network Connection - Change advanced settings - Wireless networks tab.) How do I stop that from happening? (So the wi-fi will reconnect.) When I manually re-check the box, it automatically connects.) I have a D-Link AirPremier DWL-G550 PCI adapter. I installed the newest driver, 5.3.0.46, and that didn't solve the problem. I took the "Atheros Client Utility" (the program window says "D-Link AirPremier Client Utility" when you run it) out of the start menu, rebooted, and that didn't solve the problem. (That utility puts a signal bar similiar to the one MS Windows puts there, and it's gone now.) The D-Link client utility has an option to automatically connect to preferred networks, but it is greyed out. It is also greyed out if I install the driver and utility right off the D-Link installation CD, so the problem isn't that the utility and driver are incompatible versions. I want to use Windows to handle the connection anyway, as the D-Link utility is garbage. Windows XP SP3 w/all current updates.

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  • java memory allocation under linux

    - by pstanton
    I'm running 4 java processes with the following command: java -Xmx256m -jar ... and the system has 8Gb memory under fedora 12. however it is apparently going into swap. how can that be if 4 x 256m = 1Gb ? EDIT: also, how can all 8Gb of memory be used with so little memory allocated to basically the only thing running? is it java not garbage collecting because the OS tells it it doesn't need to or what? TOP: top - 20:13:57 up 3:55, 6 users, load average: 1.99, 2.54, 2.67 Tasks: 251 total, 6 running, 245 sleeping, 0 stopped, 0 zombie Cpu(s): 50.1%us, 2.9%sy, 0.0%ni, 45.1%id, 1.1%wa, 0.0%hi, 0.8%si, 0.0%st Mem: 8252304k total, 8195552k used, 56752k free, 34356k buffers Swap: 10354680k total, 74044k used, 10280636k free, 6624148k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1948 xxxxxxxx 20 0 1624m 240m 4020 S 96.8 3.0 164:33.75 java 1927 xxxxxxxx 20 0 139m 31m 27m R 91.8 0.4 38:34.55 postgres 1929 xxxxxxxx 20 0 1624m 200m 3984 S 86.2 2.5 183:24.88 java 1969 xxxxxxxx 20 0 1624m 292m 3984 S 65.6 3.6 154:06.76 java 1987 xxxxxxxx 20 0 137m 29m 27m R 28.5 0.4 75:49.82 postgres 1581 root 20 0 159m 18m 4712 S 22.5 0.2 52:42.54 Xorg 2411 xxxxxxxx 20 0 309m 9748 4544 S 20.9 0.1 45:05.08 gnome-system-mo 1947 xxxxxxxx 20 0 137m 28m 27m S 13.3 0.4 44:46.04 postgres 1772 xxxxxxxx 20 0 135m 25m 25m S 4.0 0.3 1:09.14 postgres 1966 xxxxxxxx 20 0 137m 29m 27m S 3.0 0.4 64:27.09 postgres 1773 xxxxxxxx 20 0 135m 732 624 S 1.0 0.0 0:24.86 postgres 2464 xxxxxxxx 20 0 15028 1156 744 R 0.7 0.0 0:49.14 top 344 root 15 -5 0 0 0 S 0.3 0.0 0:02.26 kdmflush 1 root 20 0 4124 620 524 S 0.0 0.0 0:00.88 init 2 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kthreadd 3 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/0 4 root 15 -5 0 0 0 S 0.0 0.0 0:00.04 ksoftirqd/0

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  • Un balance del XXI Congreso de la Comunidad de Usuarios de Oracle

    - by Fabian Gradolph
    La XXI edición del Congreso de CUORE (Comunidad de Usuarios de Oracle) se clausuró el miércoles pasado tras dos intensos días de conferencias, talleres, reuniones y mesas redondas. Los más de 600 asistentes son una buena muestra del gran interés que despiertan las propuestas tecnológicas de Oracle entre nuestros clientes. Big Data y el sector utilities fueron dos de los grandes protagonistas del Congreso. El evento fue inaugurado por Félix del Barrio (en la segunda foto por la izquierda), director general de Oracle en España. Una buena parte del evento, la mañana del martes, estuvo dedicada a Big Data. Con Andrew Sutherland, Vicepresidente Senior de Tecnología de Oracle en EMEA, haciendo la presentación principal, para dar paso después a sesiones específicas sobre las tecnologías necesarias en las diferentes fases de los proyectos Big Data (obtener los datos, organizarlos, analizarlos y, finalmente, tomar las decisiones de negocio correspondientes). No nos vamos a entretener explicando qué es Big Data, un tema que ya hemos tratado previamente en este blog (aquí y aquí), pero sí hay que llamar la atención sobre un tema que Andrew Sutherland puso sobre la mesa en una reunión con periodistas: los proyectos relacionados con los Big Data tienen sentido pleno si nos sirven para modificar procesos y modelos de negocio, de forma que incrementemos la eficacia de la organización. Si nuestra organización está basada en procesos rígidos e inmutables (lo que tiene que ver esencialmente con el tipo de aplicaciones que estén implementadas), el aprovechamiento de los Big Data será limitado. En otras palabras, Big Data es un impulsor del cambio en las organizaciones. Normal 0 21 false false false ES X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} Los retos a los que se enfrenta un sector como el energético ocuparon el segundo día del Congreso. Las tendencias de la industria como las Redes Inteligentes, el Smart Metering, la entrada de nuevos actores y distribuidores en el mercado, la atomización de las operadoras y las inversiones congeladas son el panorama que se dibuja para las compañías del sector utilities . Además de los grandes eventos (Big Data y Oracle Utilities Day), las dos jornadas del Congreso sirvieron para que aquellos partners de Oracle que lo desearan recibieran la certificación gratuita de sus profesionales en diversas jornadas de examen. Adicionalmente, se desarrollaron sesiones paralelas sobre tecnologías y visiones estratégicas, demostraciones de producto y casos de éxito. En resumen, el balance del XXI Congreso de CUORE es muy positivo para Oracle, para nuestros clientes y para nuestros partners. Os esperamos a todos el próximo año.

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  • Welcome to the SOA &amp; E2.0 Partner Community Forum

    - by Jürgen Kress
    With more than 200 registrations the SOA & E2.0 Partner Community Forum is a huge success!   Conference program Is available online: http://tinyurl.com/soaforumagenda Agenda Tuesday March 15th 2011 12:15 Welcome & Introduction – Hans Blaas & Jürgen Kress, Oracle 12:30 Oracle Middleware Strategy and Information on Application Grid and Exalogic - Andrew Sutherland, Oracle 13:15 Managing Online Customer, Partner and Employee Engagement Oracle E2.0 Solutions - Andrew Gilboy, Oracle 14:00 Coffee Break 14:30 Partner SOA/ BPM Reference Case – Leon Smiers, Capgemini 15:15 Partner WebCenter/ UCM Reference Case – Vikram Setia, Infomentum 16.00 Break 16.30 SOA and BPM 11gR1 PS3 Update – David Shaffer 17:00 Why specialization is important for Partners – Nick Kritikos, Hans Blaas & Jürgen Kress 17:45 Social Event   Wednesday March 16th 2011 09.00 Welcome & Introduction Day II 09.15 Breakout sessions Round 1 SOA Suite 11g PS3 & OSB Importance of ADF & Jdeveloper SOA Security IDM WebCenter PS3, Whats New E2.0 Sales Plays 10.30 Break 10.45 Breakout sessions Round 2 WebCenter PS3, Whats New Applications Management Enterprise Manager and Amberpoint ADF/WebCenter 11g integration with BPM Suite 11g Importance of ADF & Jdeveloper JCAPS & OC4J migration opportunities for service business 12.00 Lunch 13.00 Breakout sessions Round 3 BPM 11g, Whats New Universal Content Management! 11g SOA Security IDM E2.0 Surrounding Products: ATG, Documaker, Primavera Middleware Industry Value Propositions & Sales Plays 14.30 Break 14.45 Fusion Applications, Rajan Krishnan, Oracle 15.30 SOA & E2.0 Summary & Closing, Hans Blaas & Jürgen Kress, Oracle 15.45 Finish & Departure 16:00 Bus departure   Capgemini Nederland BV Papendorpseweg 100 3500 GN Utrecht The Netherlands Tel: +31 30 689 00 00 For a detailed routedescription by car or public transport please visit: http://www.nl.capgemini.com/pdf/Papendorp_UK.pdf Hotel In case you have not booked your hotel yet, please make your own hotel reservation. You can book your hotel room at the 'Hotel Vianen' at a special rate, by using the Oracle booking code: DDG VIA-GF41422. One night package € 110,- for a single room, including breakfast. Kindly secure your hotel room as soon as possible. The number of rooms is limited! Hotel Vianen Prins Bernhardstraat 75 4132 XE Vianen [email protected] The Netherlands [email protected] Arrival on 14th of March and staying at Hotel Vianen. On 15th of March we have arranged a transfer from Hotel Vianen to the Capgemini Offices. The bus is parked in front of the hotel and will leave at 10.15AM (UTC/GMT+1). Logistics Pass with barcode At your arrival you will receive a pass with a barcode. This pass will give you access to the conference building and the different floors within the building. Please make sure to hand in your pass at the registration desk at the end of the day. Arrival by plane Transfer from Schiphol Airport to Capgemini on 15th of March will be arranged by Oracle. A hostess will be welcoming you at the Meeting Point at Schiphol Airport (this is a red and white large cubicle situated next to Delifrance) The buses will depart from Schiphol Airport at 09.00AM, 09.45AM and 10.30AM (UTC/GMT+1).     For future SOA Partner Community Forums  become a member for registration please visit www.oracle.com/goto/emea/soa (OPN account required) Blog Twitter LinkedIn Mix Forum Wiki Website Technorati Tags: SOA Partner Community Forum,Community,SOA Partner Community,Utrecht 03.2011,OPN,Oracle,Jürgen Kress

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  • The Definitive C++ Book Guide and List

    - by grepsedawk
    After more than a few questions about deciding on C++ books I thought we could make a better community wiki version. Providing QUALITY books and an approximate skill level. Maybe we can add a short blurb/description about each book that you have personally read / benefited from. Feel free to debate quality, headings, etc. Note: There is a similar post for C: The Definitive C Book Guide and List Reference Style - All Levels The C++ Programming Language - Bjarne Stroustrup C++ Standard Library Tutorial and Reference - Nicolai Josuttis Beginner Introductory: C++ Primer - Stanley Lippman / Josée Lajoie / Barbara E. Moo Accelerated C++ - Andrew Koenig / Barbara Moo Thinking in C++ - Bruce Eckel (2 volumes, 2nd is more about standard library, but still very good) Best practices: Effective C++ - Scott Meyers Effective STL - Scott Meyers Intermediate More Effective C++ - Scott Meyers Exceptional C++ - Herb Sutter More Exceptional C++ - Herb Sutter C++ Coding Standards: 101 Rules, Guidelines, and Best Practices - Herb Sutter / Andrei Alexandrescu C++ Templates The Complete Guide - David Vandevoorde / Nicolai M. Josuttis Large Scale C++ Software Design - John Lakos Above Intermediate Modern C++ Design - Andrei Alexandrescu C++ Template Metaprogramming - David Abrahams and Aleksey Gurtovoy Inside the C++ Object Model - Stanley Lippman Classics / Older Note: Some information contained within these books may not be up to date and no longer considered best practice. The Design and Evolution of C++ - Bjarne Stroustrup Ruminations on C++ Andrew Koenig / Barbara Moo Advanced C++ Programming Styles and Idioms - James Coplien

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  • Sinatra and XML POST request

    - by user292815
    I don't know is it my mistake or no. So i have that code: <code> post '/singin/get_token' do content_type :xml puts request.body.read puts xmlRequest xmlRequest = REXML::Document.new(request.body.read) ... </code> And when i post something like that: <code> <?xml version="1.0" encoding="utf-16"?><request xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><username>adsfasdf</username></request> </code> I receive that in my console: <code> 127.0.0.1 - - [12/Mar/2010 21:18:20] "POST /singin/get_token HTTP/1.1" 500 105872 0.1339 Iconv::InvalidCharacter - ">": /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/encodings/ICONV.rb:7:in `conv' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/encodings/ICONV.rb:7:in `decode_iconv' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/source.rb:58:in `encoding=' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/source.rb:46:in `initialize' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/source.rb:164:in `initialize' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/source.rb:17:in `new' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/source.rb:17:in `create_from' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/parsers/baseparser.rb:146:in `stream=' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/parsers/baseparser.rb:123:in `initialize' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/parsers/treeparser.rb:9:in `new' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/parsers/treeparser.rb:9:in `initialize' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/document.rb:228:in `new' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/document.rb:228:in `build' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/document.rb:43:in `initialize' zaiaku-game-server.rb:70:in `new' zaiaku-game-server.rb:70:in `block in <main>' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/showexceptions.rb:24:in `call' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/methodoverride.rb:24:in `call' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/commonlogger.rb:18:in `call' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/content_length.rb:13:in `call' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/chunked.rb:15:in `call' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/handler/thin.rb:14:in `run'Iconv::InvalidCharacter: ">" /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/encodings/ICONV.rb:7:in `conv' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/encodings/ICONV.rb:7:in `decode_iconv' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/source.rb:58:in `encoding=' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/source.rb:46:in `initialize' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/source.rb:164:in `initialize' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/source.rb:17:in `new' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/source.rb:17:in `create_from' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/parsers/baseparser.rb:146:in `stream=' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/parsers/baseparser.rb:123:in `initialize' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/parsers/treeparser.rb:9:in `new' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/parsers/treeparser.rb:9:in `initialize' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/document.rb:228:in `new' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/document.rb:228:in `build' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/1.9.1/rexml/document.rb:43:in `initialize' zaiaku-game-server.rb:70:in `new' zaiaku-game-server.rb:70:in `block in <main>' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:811:in `call' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:811:in `block in route' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:488:in `instance_eval' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:488:in `route_eval' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:477:in `block (2 levels) in route!' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:474:in `catch' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:474:in `block in route!' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:453:in `each' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:453:in `route!' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:569:in `dispatch!' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:388:in `block in call!' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:536:in `instance_eval' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:536:in `block in invoke' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:536:in `catch' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:536:in `invoke' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:388:in `call!' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:377:in `call' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/showexceptions.rb:24:in `call' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/methodoverride.rb:24:in `call' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/commonlogger.rb:18:in `call' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:928:in `block in call' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:973:in `synchronize' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:928:in `call' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/content_length.rb:13:in `call' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/chunked.rb:15:in `call' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/thin-1.2.7/lib/thin/connection.rb:76:in `block in pre_process' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/thin-1.2.7/lib/thin/connection.rb:74:in `catch' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/thin-1.2.7/lib/thin/connection.rb:74:in `pre_process' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/thin-1.2.7/lib/thin/connection.rb:57:in `process' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/thin-1.2.7/lib/thin/connection.rb:42:in `receive_data' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/eventmachine-0.12.10/lib/eventmachine.rb:256:in `run_machine' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/eventmachine-0.12.10/lib/eventmachine.rb:256:in `run' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/thin-1.2.7/lib/thin/backends/base.rb:57:in `start' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/thin-1.2.7/lib/thin/server.rb:156:in `start' /Users/andoriyu/.gem/ruby/1.9.1/gems/rack-1.1.0/lib/rack/handler/thin.rb:14:in `run' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/base.rb:896:in `run!' /Users/andoriyu/.homebrew/Cellar/ruby/1.9.1-p378/lib/ruby/gems/1.9.1/gems/sinatra-0.9.6/lib/sinatra/main.rb:35:in `block in <top (required)>' !! Unexpected error while processing request: incompatible character encodings: ASCII-8BIT and UTF-8 <code>

    Read the article

  • A plugin is preventing Eclipse from starting up

    - by Mahmoud Hossam
    It just gives me a blank window, and the splash screen doesn't go away. I tried running it in a terminal, turns out it's a problematic plugin. Is there a way to disable that plugin without the GUI? There's the error log: [org.eclipse.contribution.weaving.jdt] error at org/eclipse/contribution/jdt/IsWovenTester.aj::0 class 'org.eclipse.contribution.jdt.IsWovenTester' is already woven and has not been built in reweavable mode [org.eclipse.contribution.weaving.jdt] error at org/eclipse/contribution/jdt/IsWovenTester.aj::0 class 'org.eclipse.contribution.jdt.IsWovenTester$WeavingMarker' is already woven and has not been built in reweavable mode [org.eclipse.jdt.core] warning at org/eclipse/contribution/jdt/sourceprovider/SourceTransformerAspect.aj:106::0 does not match because declaring type is org.eclipse.jdt.core.IOpenable, if match desired use target(org.eclipse.jdt.core.ICompilationUnit) [Xlint:unmatchedSuperTypeInCall] see also: org/eclipse/jdt/internal/core/SourceRefElement.java:198::0 [org.eclipse.jdt.ui] warning at org/eclipse/contribution/jdt/sourceprovider/SourceTransformerAspect.aj:106::0 does not match because declaring type is org.eclipse.jdt.core.ITypeRoot, if match desired use target(org.eclipse.jdt.core.ICompilationUnit) [Xlint:unmatchedSuperTypeInCall] see also: org/eclipse/jdt/internal/ui/javaeditor/ASTProvider.java:572::0 [org.eclipse.contribution.weaving.jdt] error at org/eclipse/contribution/jdt/sourceprovider/SourceTransformerAspect.aj::0 class 'org.eclipse.contribution.jdt.sourceprovider.SourceTransformerAspect' is already woven and has not been built in reweavable mode [org.eclipse.contribution.weaving.jdt] error at org/eclipse/contribution/jdt/cuprovider/CompilationUnitProviderAspect.aj::0 class 'org.eclipse.contribution.jdt.cuprovider.CompilationUnitProviderAspect' is already woven and has not been built in reweavable mode [ScalaPlugin] [scalaLibBundle] Found 0 bundles: LogFilter.isLoggable threw a non-fatal unchecked exception as follows: java.lang.NullPointerException at org.eclipse.core.internal.runtime.Log.isLoggable(Log.java:101) at org.eclipse.equinox.log.internal.ExtendedLogReaderServiceFactory.safeIsLoggable(ExtendedLogReaderServiceFactory.java:59) at org.eclipse.equinox.log.internal.ExtendedLogReaderServiceFactory.logPrivileged(ExtendedLogReaderServiceFactory.java:164) at org.eclipse.equinox.log.internal.ExtendedLogReaderServiceFactory.log(ExtendedLogReaderServiceFactory.java:150) at org.eclipse.equinox.log.internal.ExtendedLogServiceFactory.log(ExtendedLogServiceFactory.java:65) at org.eclipse.equinox.log.internal.ExtendedLogServiceImpl.log(ExtendedLogServiceImpl.java:87) at org.eclipse.equinox.log.internal.LoggerImpl.log(LoggerImpl.java:54) at org.eclipse.core.internal.runtime.Log.log(Log.java:60) at scala.tools.eclipse.util.DefaultLogger.warning(DefaultLogger.scala:46) at scala.tools.eclipse.ScalaPlugin$$anonfun$3.apply(ScalaPlugin.scala:131) at scala.tools.eclipse.ScalaPlugin$$anonfun$3.apply(ScalaPlugin.scala:130) at scala.Option.getOrElse(Option.scala:108) at scala.tools.eclipse.ScalaPlugin.<init>(ScalaPlugin.scala:130) at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:525) at java.lang.Class.newInstance0(Class.java:372) at java.lang.Class.newInstance(Class.java:325) at org.eclipse.osgi.framework.internal.core.AbstractBundle.loadBundleActivator(AbstractBundle.java:166) at org.eclipse.osgi.framework.internal.core.BundleContextImpl.start(BundleContextImpl.java:679) at org.eclipse.osgi.framework.internal.core.BundleHost.startWorker(BundleHost.java:381) at org.eclipse.osgi.framework.internal.core.AbstractBundle.start(AbstractBundle.java:299) at org.eclipse.osgi.framework.util.SecureAction.start(SecureAction.java:440) at org.eclipse.osgi.internal.loader.BundleLoader.setLazyTrigger(BundleLoader.java:268) at org.eclipse.core.runtime.internal.adaptor.EclipseLazyStarter.postFindLocalClass(EclipseLazyStarter.java:107) at org.eclipse.osgi.baseadaptor.loader.ClasspathManager.findLocalClass(ClasspathManager.java:462) at org.eclipse.osgi.internal.baseadaptor.DefaultClassLoader.findLocalClass(DefaultClassLoader.java:216) at org.eclipse.osgi.internal.loader.BundleLoader.findLocalClass(BundleLoader.java:400) at org.eclipse.osgi.internal.loader.BundleLoader.findClassInternal(BundleLoader.java:476) at org.eclipse.osgi.internal.loader.BundleLoader.findClass(BundleLoader.java:429) at org.eclipse.osgi.internal.loader.BundleLoader.findClass(BundleLoader.java:417) at org.eclipse.osgi.internal.baseadaptor.DefaultClassLoader.loadClass(DefaultClassLoader.java:107) at java.lang.ClassLoader.loadClass(ClassLoader.java:356) at org.eclipse.osgi.internal.loader.BundleLoader.loadClass(BundleLoader.java:345) at org.eclipse.osgi.framework.internal.core.BundleHost.loadClass(BundleHost.java:229) at org.eclipse.osgi.framework.internal.core.AbstractBundle.loadClass(AbstractBundle.java:1207) at org.eclipse.core.internal.registry.osgi.RegistryStrategyOSGI.createExecutableExtension(RegistryStrategyOSGI.java:174) at org.eclipse.core.internal.registry.ExtensionRegistry.createExecutableExtension(ExtensionRegistry.java:905) at org.eclipse.core.internal.registry.ConfigurationElement.createExecutableExtension(ConfigurationElement.java:243) at org.eclipse.core.internal.registry.ConfigurationElementHandle.createExecutableExtension(ConfigurationElementHandle.java:55) at org.eclipse.contribution.jdt.cuprovider.CompilationUnitProviderRegistry.registerProviders(CompilationUnitProviderRegistry.java:69) at org.eclipse.contribution.jdt.cuprovider.CompilationUnitProviderRegistry.getProvider(CompilationUnitProviderRegistry.java:46) at org.eclipse.contribution.jdt.cuprovider.CompilationUnitProviderAspect.ajc$inlineAccessMethod$org_eclipse_contribution_jdt_cuprovider_CompilationUnitProviderAspect$org_eclipse_contribution_jdt_cuprovider_CompilationUnitProviderRegistry$getProvider(CompilationUnitProviderAspect.aj:1) at org.eclipse.jdt.internal.core.PackageFragment.init$_aroundBody7$advice(PackageFragment.java:47) at org.eclipse.jdt.internal.core.PackageFragment.getCompilationUnit(PackageFragment.java:216) at org.eclipse.jdt.internal.core.JavaModelManager.createCompilationUnitFrom(JavaModelManager.java:962) at org.eclipse.jdt.internal.core.JavaModelManager.create(JavaModelManager.java:871) at org.eclipse.jdt.core.JavaCore.create(JavaCore.java:2622) at org.eclipse.jdt.internal.ui.javaeditor.CompilationUnitDocumentProvider.createCompilationUnit(CompilationUnitDocumentProvider.java:941) at org.eclipse.jdt.internal.ui.javaeditor.CompilationUnitDocumentProvider.createFileInfo(CompilationUnitDocumentProvider.java:974) at org.eclipse.ui.editors.text.TextFileDocumentProvider.connect(TextFileDocumentProvider.java:478) at org.eclipse.jdt.internal.ui.javaeditor.CompilationUnitDocumentProvider.connect(CompilationUnitDocumentProvider.java:1243) at org.eclipse.ui.texteditor.AbstractTextEditor.doSetInput(AbstractTextEditor.java:4213) at org.eclipse.ui.texteditor.StatusTextEditor.doSetInput(StatusTextEditor.java:237) at org.eclipse.ui.texteditor.AbstractDecoratedTextEditor.doSetInput(AbstractDecoratedTextEditor.java:1451) at org.eclipse.jdt.internal.ui.javaeditor.JavaEditor.internalDoSetInput(JavaEditor.java:2563) at org.eclipse.jdt.internal.ui.javaeditor.JavaEditor.doSetInput(JavaEditor.java:2536) at org.eclipse.jdt.internal.ui.javaeditor.CompilationUnitEditor.doSetInput(CompilationUnitEditor.java:1395) at org.eclipse.ui.texteditor.AbstractTextEditor$19.run(AbstractTextEditor.java:3200) at org.eclipse.jface.operation.ModalContext.runInCurrentThread(ModalContext.java:464) at org.eclipse.jface.operation.ModalContext.run(ModalContext.java:372) at org.eclipse.jface.window.ApplicationWindow$1.run(ApplicationWindow.java:759) at org.eclipse.swt.custom.BusyIndicator.showWhile(BusyIndicator.java:70) at org.eclipse.jface.window.ApplicationWindow.run(ApplicationWindow.java:756) at org.eclipse.ui.internal.WorkbenchWindow.run(WorkbenchWindow.java:2642) at org.eclipse.ui.texteditor.AbstractTextEditor.internalInit(AbstractTextEditor.java:3218) at org.eclipse.ui.texteditor.AbstractTextEditor.init(AbstractTextEditor.java:3245) at org.eclipse.ui.internal.EditorManager.createSite(EditorManager.java:828) at org.eclipse.ui.internal.EditorReference.createPartHelper(EditorReference.java:647) at org.eclipse.ui.internal.EditorReference.createPart(EditorReference.java:465) at org.eclipse.ui.internal.WorkbenchPartReference.getPart(WorkbenchPartReference.java:595) at org.eclipse.ui.internal.EditorAreaHelper.setVisibleEditor(EditorAreaHelper.java:271) at org.eclipse.ui.internal.EditorManager.setVisibleEditor(EditorManager.java:1459) at org.eclipse.ui.internal.EditorManager$5.runWithException(EditorManager.java:972) at org.eclipse.ui.internal.StartupThreading$StartupRunnable.run(StartupThreading.java:31) at org.eclipse.swt.widgets.RunnableLock.run(RunnableLock.java:35) at org.eclipse.swt.widgets.Synchronizer.runAsyncMessages(Synchronizer.java:135) at org.eclipse.swt.widgets.Display.runAsyncMessages(Display.java:3563) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3212) at org.eclipse.ui.application.WorkbenchAdvisor.openWindows(WorkbenchAdvisor.java:803) at org.eclipse.ui.internal.Workbench$33.runWithException(Workbench.java:1595) at org.eclipse.ui.internal.StartupThreading$StartupRunnable.run(StartupThreading.java:31) at org.eclipse.swt.widgets.RunnableLock.run(RunnableLock.java:35) at org.eclipse.swt.widgets.Synchronizer.runAsyncMessages(Synchronizer.java:135) at org.eclipse.swt.widgets.Display.runAsyncMessages(Display.java:3563) at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java:3212) at org.eclipse.ui.internal.Workbench.runUI(Workbench.java:2604) at org.eclipse.ui.internal.Workbench.access$4(Workbench.java:2494) at org.eclipse.ui.internal.Workbench$7.run(Workbench.java:674) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:332) at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:667) at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:149) at org.eclipse.ui.internal.ide.application.IDEApplication.start(IDEApplication.java:123) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:196) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:110) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:79) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:344) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:179) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:601) at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:622) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:577) at org.eclipse.equinox.launcher.Main.run(Main.java:1410) at org.eclipse.equinox.launcher.Main.main(Main.java:1386) [StartupDiagnostics$] startup diagnostics: previous version = 2.0.0.rc01-2_09-201111091447-ce49e0a [StartupDiagnostics$] startup diagnostics: CURRENT version = 2.0.0.rc01-2_09-201111091447-ce49e0a [ScalaPlugin] Scala compiler bundle: reference:file:plugins/org.scala-ide.scala.compiler_2.9.2.r25964-b20111108034957.jar [org.eclipse.jdt.core] warning at org/eclipse/contribution/jdt/sourceprovider/SourceTransformerAspect.aj:106::0 does not match because declaring type is org.eclipse.jdt.core.IOpenable, if match desired use target(org.eclipse.jdt.core.ICompilationUnit) [Xlint:unmatchedSuperTypeInCall] see also: org/eclipse/jdt/internal/core/LocalVariable.java:363::0 [org.eclipse.contribution.weaving.jdt] error at org/eclipse/contribution/jdt/imagedescriptor/ImageDescriptorSelectorAspect.aj::0 class 'org.eclipse.contribution.jdt.imagedescriptor.ImageDescriptorSelectorAspect' is already woven and has not been built in reweavable mode [org.eclipse.jdt.ui] warning at org/eclipse/contribution/jdt/sourceprovider/SourceTransformerAspect.aj:106::0 does not match because declaring type is org.eclipse.jdt.core.IOpenable, if match desired use target(org.eclipse.jdt.core.ICompilationUnit) [Xlint:unmatchedSuperTypeInCall] see also: org/eclipse/jdt/internal/ui/text/java/hover/JavadocHover.java:630::0 [org.eclipse.contribution.weaving.jdt] error at org/eclipse/contribution/jdt/itdawareness/ITDAwarenessAspect.aj::0 class 'org.eclipse.contribution.jdt.itdawareness.ITDAwarenessAspect' is already woven and has not been built in reweavable mode [ScalaPlugin] open Ride.java

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  • I am getting this error on each machine after installing ruby and rails, I created one web site and

    - by Santodsh
    D:\PROJECTS\RubyOnRail\webapp\Welcome>ruby script\server => Booting WEBrick => Rails 2.3.4 application starting on http://0.0.0.0:3000 => Call with -d to detach => Ctrl-C to shutdown server [2010-01-31 21:19:34] INFO WEBrick 1.3.1 [2010-01-31 21:19:34] INFO ruby 1.8.6 (2007-09-24) [i386-mswin32] [2010-01-31 21:19:34] INFO WEBrick::HTTPServer#start: pid=6576 port=3000 /!\ FAILSAFE /!\ Sun Jan 31 21:19:38 +0530 2010 Status: 500 Internal Server Error uninitialized constant Encoding c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:443:in `load_missing_constant' c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:80:in `const_missing' c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:92:in `const_missing' c:/ruby/lib/ruby/gems/1.8/gems/sqlite3-0.0.6/lib/sqlite3/encoding.rb:9:in `f ind' c:/ruby/lib/ruby/gems/1.8/gems/sqlite3-0.0.6/lib/sqlite3/database.rb:69:in ` initialize' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/sqlite3_adapter.rb:13:in `new' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/sqlite3_adapter.rb:13:in `sqlite3_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:223:in `send' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:223:in `new_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:245:in `checkout_new_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:188:in `checkout' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:184:in `loop' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:184:in `checkout' c:/ruby/lib/ruby/1.8/monitor.rb:242:in `synchronize' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:183:in `checkout' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:98:in `connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:326:in `retrieve_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_specification.rb:123:in `retrieve_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_specification.rb:115:in `connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/query_ca che.rb:9:in `cache' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/query_ca che.rb:28:in `call' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:361:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/head.rb:9:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/methodoverride.rb:24:in ` call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/params _parser.rb:15:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/sessio n/cookie_store.rb:93:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/failsa fe.rb:26:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `synchroniz e' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/dispat cher.rb:114:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/reload er.rb:34:in `run' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/dispat cher.rb:108:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/rails/rack/static.rb:31:in `c all' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:46:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in `each' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/rails/rack/log_tailer.rb:17:i n `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/content_length.rb:13:in ` call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/webrick.rb:50:in `service' c:/ruby/lib/ruby/1.8/webrick/httpserver.rb:104:in `service' c:/ruby/lib/ruby/1.8/webrick/httpserver.rb:65:in `run' c:/ruby/lib/ruby/1.8/webrick/server.rb:173:in `start_thread' c:/ruby/lib/ruby/1.8/webrick/server.rb:162:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:162:in `start_thread' c:/ruby/lib/ruby/1.8/webrick/server.rb:95:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:92:in `each' c:/ruby/lib/ruby/1.8/webrick/server.rb:92:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:23:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:82:in `start' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/webrick.rb:14:in `run' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/commands/server.rb:111 c:/ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:31:in `gem_origina l_require' c:/ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:31:in `require' script/server:3 /!\ FAILSAFE /!\ Sun Jan 31 21:19:39 +0530 2010 Status: 500 Internal Server Error uninitialized constant Encoding c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:443:in `load_missing_constant' c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:80:in `const_missing' c:/ruby/lib/ruby/gems/1.8/gems/activesupport-2.3.4/lib/active_support/depend encies.rb:92:in `const_missing' c:/ruby/lib/ruby/gems/1.8/gems/sqlite3-0.0.6/lib/sqlite3/encoding.rb:9:in `f ind' c:/ruby/lib/ruby/gems/1.8/gems/sqlite3-0.0.6/lib/sqlite3/database.rb:69:in ` initialize' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/sqlite3_adapter.rb:13:in `new' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/sqlite3_adapter.rb:13:in `sqlite3_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:223:in `send' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:223:in `new_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:245:in `checkout_new_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:188:in `checkout' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:184:in `loop' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:184:in `checkout' c:/ruby/lib/ruby/1.8/monitor.rb:242:in `synchronize' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:183:in `checkout' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:98:in `connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:326:in `retrieve_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_specification.rb:123:in `retrieve_connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_specification.rb:115:in `connection' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/query_ca che.rb:9:in `cache' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/query_ca che.rb:28:in `call' c:/ruby/lib/ruby/gems/1.8/gems/activerecord-2.3.4/lib/active_record/connecti on_adapters/abstract/connection_pool.rb:361:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/head.rb:9:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/methodoverride.rb:24:in ` call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/params _parser.rb:15:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/sessio n/cookie_store.rb:93:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/failsa fe.rb:26:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `synchroniz e' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/dispat cher.rb:114:in `call' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/reload er.rb:34:in `run' c:/ruby/lib/ruby/gems/1.8/gems/actionpack-2.3.4/lib/action_controller/dispat cher.rb:108:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/rails/rack/static.rb:31:in `c all' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:46:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in `each' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in `call' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/rails/rack/log_tailer.rb:17:i n `call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/content_length.rb:13:in ` call' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/webrick.rb:50:in `service' c:/ruby/lib/ruby/1.8/webrick/httpserver.rb:104:in `service' c:/ruby/lib/ruby/1.8/webrick/httpserver.rb:65:in `run' c:/ruby/lib/ruby/1.8/webrick/server.rb:173:in `start_thread' c:/ruby/lib/ruby/1.8/webrick/server.rb:162:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:162:in `start_thread' c:/ruby/lib/ruby/1.8/webrick/server.rb:95:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:92:in `each' c:/ruby/lib/ruby/1.8/webrick/server.rb:92:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:23:in `start' c:/ruby/lib/ruby/1.8/webrick/server.rb:82:in `start' c:/ruby/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/webrick.rb:14:in `run' c:/ruby/lib/ruby/gems/1.8/gems/rails-2.3.4/lib/commands/server.rb:111 c:/ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:31:in `gem_origina l_require' c:/ruby/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:31:in `require' script/server:3

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  • NoRM MongoConfiguration

    - by user365836
    Something is wrong with my MongoConfiguration I think, I read the following on NoRM's google group: On Mar 22, 3:14 am, Andrew Theken wrote: It can easily live in the object: public class POCO{ //implicitly runs one time. static POCO(){   MongoConfiguration.Initialize(cfg= cfg.For<POCO>(f=     {        f.ForProperty(p=p.ALongProperty).UseAlias("A");        f.ForProperty(p=p.AnotherLongProperty).UseAlias("B");        //etc.     }    }    public string ALongProperty {get;set;}    public int AnotherLongProperty{get;set;} } ;-) //Andrew Theken In my class I have public class Item { static Item() { MongoConfiguration.Initialize( cfg=> cfg.For<Item>( c => { c.ForProperty(i => i.Name).UseAlias("N"); c.ForProperty(i => i.Description).UseAlias("D"); }) ); } public String Name { get; set; } public String Description { get; set; } } After I save them there are items in DB with short key namse, the problem is when I try to read up all previously created items on start I get no items back.

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  • How to read/write high-resolution (24-bit, 8 channel) .wav files in Java?

    - by dB'
    I'm trying to write a Java application that manipulates high resolution .wav files. I'm having trouble importing the audio data, i.e. converting the .wav file into an array of doubles. When I use a standard approach an exception is thrown. AudioFileFormat as = AudioSystem.getAudioFileFormat(new File("orig.wav")); --> javax.sound.sampled.UnsupportedAudioFileException: file is not a supported file type Here's the file format info according to soxi: dB$ soxi orig.wav soxi WARN wav: wave header missing FmtExt chunk Input File : 'orig.wav' Channels : 8 Sample Rate : 96000 Precision : 24-bit Duration : 00:00:03.16 = 303526 samples ~ 237.13 CDDA sectors File Size : 9.71M Bit Rate : 24.6M Sample Encoding: 32-bit Floating Point PCM Can anyone suggest the simplest method for getting this audio into Java? I've tried using a few techniques. As stated above, I've experimented with the Java AudioSystem (on both Mac and Windows). I've also tried using Andrew Greensted's WavFile class, but this also fails (WavFileException: Compression Code 3 not supported). One workaround is to convert the audio to 16 bits using sox (with the -b 16 flag), but this is suboptimal since it increases the noise floor. Incidentally, I've noticed that the file CAN be read by libsndfile. Is my best bet to write a jni wrapper around libsndfile, or can you suggest something quicker? Note that I don't need to play the audio, I just need to analyze it, manipulate it, and then write it out to a new .wav file. * UPDATE * I solved this problem by modifying Andrew Greensted's WavFile class. His original version only read files encoded as integer values ("format code 1"); my files were encoded as floats ("format code 3"), and that's what was causing the problem. I'll post the modified version of Greensted's code when I get a chance. In the meantime, if anyone wants it, send me a message.

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  • Create Downloadable CSV File from PHP Script

    - by Aphex22
    How would I create a formatted version of the following PHP script as a downloadable CSV file from the code below (1.0) At the moment the fputcsv function is currently dumping the unparsed PHP/HTML code into a CSV file. This is incorrect. The downloaded CSV file should contain the columns and rows generated from the code at (1.0) as shown in the image link below. I've tried using the following code at the top of the PHP file: // output headers so that the file is downloaded rather than displayed header('Content-Type: text/csv; charset=utf-8'); header('Content-Disposition: attachment; filename=amazon.csv'); // create a file pointer connected to the output stream $output = fopen('php://output', 'w'); $mysql_hostname = ""; $mysql_user = ""; $mysql_password = ""; $mysql_database = ""; $bd = mysql_connect($mysql_hostname, $mysql_user, $mysql_password) or die("Could not connect database"); mysql_select_db($mysql_database, $bd) or die("Could not select database"); $sql = "select * from product WHERE on_amazon = 'on' AND active = 'on'"; $result = mysql_query($sql) or die ( mysql_error() ); // loop over the rows, outputting them while ($sql_result = mysql_fetch_assoc($sql)) fputcsv($output, $sql_result); 1.0 The start of the code outputs the column headings for the CSV file: // set headers echo " item_sku, external_product_id, external_product_id_type, item_name, brand_name, manufacturer, product_description, feed_product_type, update_delete, part_number, model, standard_price, list_price, currency, quantity, product_tax_code, product_site_launch_date, merchant_release_date, restock_date ... <br>"; And then follows PHP script for the column values // load all stock while ($line = mysql_fetch_assoc($result) ) { ?> <?php $size_suffix = array ("",'_chain','_con_b','_con_c'); $arrayLength = count ($size_suffix); for($y=0;$y<$arrayLength;$y++) { //Possible size array to loop through when checking quantity $con_size = array (36,365,37,375,38,385,39,395,40,405,41,415,42,425,43,435,44,445,45,455,46,465,47,475,48,485); $arrlength=count($con_size); for($x=0;$x<$arrlength;$x++) { // check if size is available if($line['quantity_c_size_'.$con_size[$x].$size_suffix[$y]] > 0 ) { ?> <!-- item sku --> <?=$line['product_id']?>, <!-- external product id --> <?=$line['code_size_'.$con_size[$x].'']?>, <? // external product id type $barcode = $line['code_size_'.$con_size[$x]]; $trim_barcode = trim($barcode); $count = strlen($trim_barcode); if ($count == 12) { echo "UPC"; } if ($count == 13) { echo "EAN"; } elseif ($count < 12) { echo " "; } ?>, <!-- item name --> <?=$line['title']?>, <? // brand_name $brand = $line['jys_brand']; echo ucfirst($brand); ?>, <? // manufacturer $brand = $line['jys_brand']; echo ucfirst($brand); ?>, <!-- product description --> <?=preg_replace('/[^\da-z]/i', ' ', $line['amazon_desc']) ?>, <!-- feed product type --> Shoes, , , , <!-- standard price --> <?=$line['price']?>, , <!-- currency --> GBP, <!-- quantity --> <?=$line['quantity_size_'.$con_size[$x].$size_suffix[$y]]?>, , <!-- product site launch date --> <?=$line['added_y']?>-<?=$line['added_m']?>-<?=$line['added_d']?>, <!-- merchat release date --> <?=$line['added_y']?>-<?=$line['added_m']?>-<?=$line['added_d']?>, , , , , <!-- item package quantity --> 1, , , , , <!-- fulfillment latency --> 2, <!-- max aggregate ship quantity --> 1, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , <!-- main image url, url1, url2, url3 --> http://www.getashoe.co.uk/full/<?=$line['product_id']?>_1.jpg, http://www.getashoe.co.uk/full/<?=$line['product_id']?>_2.jpg, http://www.getashoe.co.uk/full/<?=$line['product_id']?>_3.jpg, http://www.getashoe.co.uk/full/<?=$line['product_id']?>_4.jpg, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , <!-- heel height --> <?=$line['heel']?>, , , , , , , , , , , <!-- colour name --> <?=$line['colour']?>, <!-- colour map --> <? $colour = preg_replace('/[()]/i', ' ', $line['colour']); if (preg_match( '/[\/].*/i', $colour)) { echo 'Multicolour'; } if (preg_match( '/off.*/i', $colour)) { echo 'Off-White'; } elseif( preg_match( '/white.*/i', $colour)) { echo 'White'; } elseif( preg_match( '/moro.*/i', $colour)) { echo 'Brown'; } elseif( preg_match( '/morado.*/i', $colour)) { echo 'Purple'; } elseif( preg_match( '/cream.*/i', $colour)) { echo 'Off-White'; } elseif( preg_match( '/pewter.*/i', $colour)) { echo 'Silver'; } elseif( preg_match( '/yellow.*/i', $colour)) { echo 'Yellow'; } elseif( preg_match( '/camel.*/i', $colour)) { echo 'Beige'; } elseif( preg_match( '/navy.*/i', $colour)) { echo 'Blue'; } elseif( preg_match( '/tan.*/i', $colour)) { echo 'Brown'; } elseif( preg_match( '/rainbow.*/i', $colour)) { echo 'Multicolour'; } elseif( preg_match( '/orange.*/i', $colour)) { echo 'Orange'; } elseif( preg_match( '/leopard.*/i', $colour)) { echo 'Multicolour'; } elseif( preg_match( '/red.*/i', $colour)) { echo 'Red'; } elseif( preg_match( '/pink.*/i', $colour)) { echo 'Pink'; } elseif( preg_match( '/purple.*/i', $colour)) { echo 'Purple'; } elseif( preg_match( '/blue.*/i', $colour)) { echo 'Blue'; } elseif( preg_match( '/green.*/i', $colour)) { echo 'Green'; } elseif( preg_match( '/brown.*/i', $colour)) { echo 'Brown'; } elseif( preg_match( '/grey.*/i', $colour)) { echo 'Grey'; } elseif( preg_match( '/black.*/i', $colour)) { echo 'Black'; } elseif( preg_match( '/gold.*/i', $colour)) { echo 'Gold'; } elseif( preg_match( '/silver.*/i', $colour)) { echo 'Silver'; } elseif( preg_match( '/multi.*/i', $colour)) { echo 'Multicolour'; } elseif( preg_match( '/beige.*/i', $colour)) { echo 'Beige'; } elseif( preg_match( '/nude.*/i', $colour)) { echo 'Beige'; } ?>, <!-- size name --> <? echo $con_size[$x];?>, <!-- size map --> <? if ($con_size[$x] == 36) { echo "3 UK"; } elseif ($con_size[$x] == 37 ) { echo "4 UK"; } elseif ($con_size[$x] == 38) { echo "5 UK"; } elseif ($con_size[$x] == 39 ) { echo "6 UK"; } elseif ($con_size[$x] == 40 ) { echo "7 UK"; } elseif ($con_size[$x] == 41) { echo "8 UK"; } elseif ($con_size[$x] == 42) { echo "9 UK"; } elseif ($con_size[$x] == 43) { echo "10 UK"; } elseif ($con_size[$x] == 44 ) { echo "11 UK"; } elseif ($con_size[$x] == 45 ) { echo "12 UK"; } elseif ($con_size[$x] == 46 ) { echo "13 UK"; } elseif ($con_size[$x] == 47 ) { echo "14 UK"; } elseif ($con_size[$x] == 48 ) { echo "15 UK"; } elseif ($con_size[$x] == 365) { echo "3.5 UK"; } elseif ($con_size[$x] == 375 ) { echo "4.5 UK"; } elseif ($con_size[$x] == 385) { echo "5.5 UK"; } elseif ($con_size[$x] == 395 ) { echo "6.5 UK"; } elseif ($con_size[$x] == 405 ) { echo "7.5 UK"; } elseif ($con_size[$x] == 415) { echo "8.5 UK"; } elseif ($con_size[$x] == 425) { echo "9.5 UK"; } elseif ($con_size[$x] == 435) { echo "10.5 UK"; } elseif ($con_size[$x] == 445 ) { echo "11.5 UK"; } elseif ($con_size[$x] == 455 ) { echo "12.5 UK"; } elseif ($con_size[$x] == 465 ) { echo "13.5 UK"; } elseif ($con_size[$x] == 475 ) { echo "14.5 UK"; } elseif ($con_size[$x] == 485 ) { echo "15.5 UK"; } ?>, <br> <? // finish checking if size is available } } } ?> I've included an image of how the CSV file should appear. https://i.imgur.com/ZU3IFer.png Any help would be great.

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  • Problems with my JS array undefined x 7

    - by Dave
    I have an array im trying to loop through to create a new type of array specific to my current page. My array looks like this: //$_SESSION['data'] = Array ( [0] => 1 [1] => 0 [2] => Tom [8] => 1 [4] => 1 [5] => Array ( [7] => Array ( [0] => Andrew [1] => 1 [2] => 1 [4] => 0 [5] => avatar.jpg [6] => 1 ) ) [6] => Array ( [0] => 1 [1] => 2 ) ) So in my JS file i have this: var stats = <? echo $_SESSION['data'][5]); ?> ; //this is the array my_data = new Array(); for(var key in stats){ if(key in my_data){} else { //prevent double entry my_data[key] = new Array(); my_data[key][0] = stats[key][6]; my_data[key][1] = stats[key][5]; my_data[key][2] = stats[key][2]; my_data[key][3] = stats[key][0]; } } console.log(my_data); Now in console.log i get this : [undefined × 7, Array[4] 0: "1" 1: "avatar.jpg" 2: "1" 3: "Andrew" length: 4 __proto__: Array[0] ] I'm wondering why it is saying undefined x7?

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  • Upload File to Windows Azure Blob in Chunks through ASP.NET MVC, JavaScript and HTML5

    - by Shaun
    Originally posted on: http://geekswithblogs.net/shaunxu/archive/2013/07/01/upload-file-to-windows-azure-blob-in-chunks-through-asp.net.aspxMany people are using Windows Azure Blob Storage to store their data in the cloud. Blob storage provides 99.9% availability with easy-to-use API through .NET SDK and HTTP REST. For example, we can store JavaScript files, images, documents in blob storage when we are building an ASP.NET web application on a Web Role in Windows Azure. Or we can store our VHD files in blob and mount it as a hard drive in our cloud service. If you are familiar with Windows Azure, you should know that there are two kinds of blob: page blob and block blob. The page blob is optimized for random read and write, which is very useful when you need to store VHD files. The block blob is optimized for sequential/chunk read and write, which has more common usage. Since we can upload block blob in blocks through BlockBlob.PutBlock, and them commit them as a whole blob with invoking the BlockBlob.PutBlockList, it is very powerful to upload large files, as we can upload blocks in parallel, and provide pause-resume feature. There are many documents, articles and blog posts described on how to upload a block blob. Most of them are focus on the server side, which means when you had received a big file, stream or binaries, how to upload them into blob storage in blocks through .NET SDK.  But the problem is, how can we upload these large files from client side, for example, a browser. This questioned to me when I was working with a Chinese customer to help them build a network disk production on top of azure. The end users upload their files from the web portal, and then the files will be stored in blob storage from the Web Role. My goal is to find the best way to transform the file from client (end user’s machine) to the server (Web Role) through browser. In this post I will demonstrate and describe what I had done, to upload large file in chunks with high speed, and save them as blocks into Windows Azure Blob Storage.   Traditional Upload, Works with Limitation The simplest way to implement this requirement is to create a web page with a form that contains a file input element and a submit button. 1: @using (Html.BeginForm("About", "Index", FormMethod.Post, new { enctype = "multipart/form-data" })) 2: { 3: <input type="file" name="file" /> 4: <input type="submit" value="upload" /> 5: } And then in the backend controller, we retrieve the whole content of this file and upload it in to the blob storage through .NET SDK. We can split the file in blocks and upload them in parallel and commit. The code had been well blogged in the community. 1: [HttpPost] 2: public ActionResult About(HttpPostedFileBase file) 3: { 4: var container = _client.GetContainerReference("test"); 5: container.CreateIfNotExists(); 6: var blob = container.GetBlockBlobReference(file.FileName); 7: var blockDataList = new Dictionary<string, byte[]>(); 8: using (var stream = file.InputStream) 9: { 10: var blockSizeInKB = 1024; 11: var offset = 0; 12: var index = 0; 13: while (offset < stream.Length) 14: { 15: var readLength = Math.Min(1024 * blockSizeInKB, (int)stream.Length - offset); 16: var blockData = new byte[readLength]; 17: offset += stream.Read(blockData, 0, readLength); 18: blockDataList.Add(Convert.ToBase64String(BitConverter.GetBytes(index)), blockData); 19:  20: index++; 21: } 22: } 23:  24: Parallel.ForEach(blockDataList, (bi) => 25: { 26: blob.PutBlock(bi.Key, new MemoryStream(bi.Value), null); 27: }); 28: blob.PutBlockList(blockDataList.Select(b => b.Key).ToArray()); 29:  30: return RedirectToAction("About"); 31: } This works perfect if we selected an image, a music or a small video to upload. But if I selected a large file, let’s say a 6GB HD-movie, after upload for about few minutes the page will be shown as below and the upload will be terminated. In ASP.NET there is a limitation of request length and the maximized request length is defined in the web.config file. It’s a number which less than about 4GB. So if we want to upload a really big file, we cannot simply implement in this way. Also, in Windows Azure, a cloud service network load balancer will terminate the connection if exceed the timeout period. From my test the timeout looks like 2 - 3 minutes. Hence, when we need to upload a large file we cannot just use the basic HTML elements. Besides the limitation mentioned above, the simple HTML file upload cannot provide rich upload experience such as chunk upload, pause and pause-resume. So we need to find a better way to upload large file from the client to the server.   Upload in Chunks through HTML5 and JavaScript In order to break those limitation mentioned above we will try to upload the large file in chunks. This takes some benefit to us such as - No request size limitation: Since we upload in chunks, we can define the request size for each chunks regardless how big the entire file is. - No timeout problem: The size of chunks are controlled by us, which means we should be able to make sure request for each chunk upload will not exceed the timeout period of both ASP.NET and Windows Azure load balancer. It was a big challenge to upload big file in chunks until we have HTML5. There are some new features and improvements introduced in HTML5 and we will use them to implement our solution.   In HTML5, the File interface had been improved with a new method called “slice”. It can be used to read part of the file by specifying the start byte index and the end byte index. For example if the entire file was 1024 bytes, file.slice(512, 768) will read the part of this file from the 512nd byte to 768th byte, and return a new object of interface called "Blob”, which you can treat as an array of bytes. In fact,  a Blob object represents a file-like object of immutable, raw data. The File interface is based on Blob, inheriting blob functionality and expanding it to support files on the user's system. For more information about the Blob please refer here. File and Blob is very useful to implement the chunk upload. We will use File interface to represent the file the user selected from the browser and then use File.slice to read the file in chunks in the size we wanted. For example, if we wanted to upload a 10MB file with 512KB chunks, then we can read it in 512KB blobs by using File.slice in a loop.   Assuming we have a web page as below. User can select a file, an input box to specify the block size in KB and a button to start upload. 1: <div> 2: <input type="file" id="upload_files" name="files[]" /><br /> 3: Block Size: <input type="number" id="block_size" value="512" name="block_size" />KB<br /> 4: <input type="button" id="upload_button_blob" name="upload" value="upload (blob)" /> 5: </div> Then we can have the JavaScript function to upload the file in chunks when user clicked the button. 1: <script type="text/javascript"> 1: 2: $(function () { 3: $("#upload_button_blob").click(function () { 4: }); 5: });</script> Firstly we need to ensure the client browser supports the interfaces we are going to use. Just try to invoke the File, Blob and FormData from the “window” object. If any of them is “undefined” the condition result will be “false” which means your browser doesn’t support these premium feature and it’s time for you to get your browser updated. FormData is another new feature we are going to use in the future. It could generate a temporary form for us. We will use this interface to create a form with chunk and associated metadata when invoked the service through ajax. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: if (window.File && window.Blob && window.FormData) { 4: alert("Your brwoser is awesome, let's rock!"); 5: } 6: else { 7: alert("Oh man plz update to a modern browser before try is cool stuff out."); 8: return; 9: } 10: }); Each browser supports these interfaces by their own implementation and currently the Blob, File and File.slice are supported by Chrome 21, FireFox 13, IE 10, Opera 12 and Safari 5.1 or higher. After that we worked on the files the user selected one by one since in HTML5, user can select multiple files in one file input box. 1: var files = $("#upload_files")[0].files; 2: for (var i = 0; i < files.length; i++) { 3: var file = files[i]; 4: var fileSize = file.size; 5: var fileName = file.name; 6: } Next, we calculated the start index and end index for each chunks based on the size the user specified from the browser. We put them into an array with the file name and the index, which will be used when we upload chunks into Windows Azure Blob Storage as blocks since we need to specify the target blob name and the block index. At the same time we will store the list of all indexes into another variant which will be used to commit blocks into blob in Azure Storage once all chunks had been uploaded successfully. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10:  11: // calculate the start and end byte index for each blocks(chunks) 12: // with the index, file name and index list for future using 13: var blockSizeInKB = $("#block_size").val(); 14: var blockSize = blockSizeInKB * 1024; 15: var blocks = []; 16: var offset = 0; 17: var index = 0; 18: var list = ""; 19: while (offset < fileSize) { 20: var start = offset; 21: var end = Math.min(offset + blockSize, fileSize); 22:  23: blocks.push({ 24: name: fileName, 25: index: index, 26: start: start, 27: end: end 28: }); 29: list += index + ","; 30:  31: offset = end; 32: index++; 33: } 34: } 35: }); Now we have all chunks’ information ready. The next step should be upload them one by one to the server side, and at the server side when received a chunk it will upload as a block into Blob Storage, and finally commit them with the index list through BlockBlobClient.PutBlockList. But since all these invokes are ajax calling, which means not synchronized call. So we need to introduce a new JavaScript library to help us coordinate the asynchronize operation, which named “async.js”. You can download this JavaScript library here, and you can find the document here. I will not explain this library too much in this post. We will put all procedures we want to execute as a function array, and pass into the proper function defined in async.js to let it help us to control the execution sequence, in series or in parallel. Hence we will define an array and put the function for chunk upload into this array. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4:  5: // start to upload each files in chunks 6: var files = $("#upload_files")[0].files; 7: for (var i = 0; i < files.length; i++) { 8: var file = files[i]; 9: var fileSize = file.size; 10: var fileName = file.name; 11: // calculate the start and end byte index for each blocks(chunks) 12: // with the index, file name and index list for future using 13: ... ... 14:  15: // define the function array and push all chunk upload operation into this array 16: blocks.forEach(function (block) { 17: putBlocks.push(function (callback) { 18: }); 19: }); 20: } 21: }); 22: }); As you can see, I used File.slice method to read each chunks based on the start and end byte index we calculated previously, and constructed a temporary HTML form with the file name, chunk index and chunk data through another new feature in HTML5 named FormData. Then post this form to the backend server through jQuery.ajax. This is the key part of our solution. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: blocks.forEach(function (block) { 15: putBlocks.push(function (callback) { 16: // load blob based on the start and end index for each chunks 17: var blob = file.slice(block.start, block.end); 18: // put the file name, index and blob into a temporary from 19: var fd = new FormData(); 20: fd.append("name", block.name); 21: fd.append("index", block.index); 22: fd.append("file", blob); 23: // post the form to backend service (asp.net mvc controller action) 24: $.ajax({ 25: url: "/Home/UploadInFormData", 26: data: fd, 27: processData: false, 28: contentType: "multipart/form-data", 29: type: "POST", 30: success: function (result) { 31: if (!result.success) { 32: alert(result.error); 33: } 34: callback(null, block.index); 35: } 36: }); 37: }); 38: }); 39: } 40: }); Then we will invoke these functions one by one by using the async.js. And once all functions had been executed successfully I invoked another ajax call to the backend service to commit all these chunks (blocks) as the blob in Windows Azure Storage. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.series(putBlocks, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: }); That’s all in the client side. The outline of our logic would be - Calculate the start and end byte index for each chunks based on the block size. - Defined the functions of reading the chunk form file and upload the content to the backend service through ajax. - Execute the functions defined in previous step with “async.js”. - Commit the chunks by invoking the backend service in Windows Azure Storage finally.   Save Chunks as Blocks into Blob Storage In above we finished the client size JavaScript code. It uploaded the file in chunks to the backend service which we are going to implement in this step. We will use ASP.NET MVC as our backend service, and it will receive the chunks, upload into Windows Azure Bob Storage in blocks, then finally commit as one blob. As in the client side we uploaded chunks by invoking the ajax call to the URL "/Home/UploadInFormData", I created a new action under the Index controller and it only accepts HTTP POST request. 1: [HttpPost] 2: public JsonResult UploadInFormData() 3: { 4: var error = string.Empty; 5: try 6: { 7: } 8: catch (Exception e) 9: { 10: error = e.ToString(); 11: } 12:  13: return new JsonResult() 14: { 15: Data = new 16: { 17: success = string.IsNullOrWhiteSpace(error), 18: error = error 19: } 20: }; 21: } Then I retrieved the file name, index and the chunk content from the Request.Form object, which was passed from our client side. And then, used the Windows Azure SDK to create a blob container (in this case we will use the container named “test”.) and create a blob reference with the blob name (same as the file name). Then uploaded the chunk as a block of this blob with the index, since in Blob Storage each block must have an index (ID) associated with so that finally we can put all blocks as one blob by specifying their block ID list. 1: [HttpPost] 2: public JsonResult UploadInFormData() 3: { 4: var error = string.Empty; 5: try 6: { 7: var name = Request.Form["name"]; 8: var index = int.Parse(Request.Form["index"]); 9: var file = Request.Files[0]; 10: var id = Convert.ToBase64String(BitConverter.GetBytes(index)); 11:  12: var container = _client.GetContainerReference("test"); 13: container.CreateIfNotExists(); 14: var blob = container.GetBlockBlobReference(name); 15: blob.PutBlock(id, file.InputStream, null); 16: } 17: catch (Exception e) 18: { 19: error = e.ToString(); 20: } 21:  22: return new JsonResult() 23: { 24: Data = new 25: { 26: success = string.IsNullOrWhiteSpace(error), 27: error = error 28: } 29: }; 30: } Next, I created another action to commit the blocks into blob once all chunks had been uploaded. Similarly, I retrieved the blob name from the Request.Form. I also retrieved the chunks ID list, which is the block ID list from the Request.Form in a string format, split them as a list, then invoked the BlockBlob.PutBlockList method. After that our blob will be shown in the container and ready to be download. 1: [HttpPost] 2: public JsonResult Commit() 3: { 4: var error = string.Empty; 5: try 6: { 7: var name = Request.Form["name"]; 8: var list = Request.Form["list"]; 9: var ids = list 10: .Split(',') 11: .Where(id => !string.IsNullOrWhiteSpace(id)) 12: .Select(id => Convert.ToBase64String(BitConverter.GetBytes(int.Parse(id)))) 13: .ToArray(); 14:  15: var container = _client.GetContainerReference("test"); 16: container.CreateIfNotExists(); 17: var blob = container.GetBlockBlobReference(name); 18: blob.PutBlockList(ids); 19: } 20: catch (Exception e) 21: { 22: error = e.ToString(); 23: } 24:  25: return new JsonResult() 26: { 27: Data = new 28: { 29: success = string.IsNullOrWhiteSpace(error), 30: error = error 31: } 32: }; 33: } Now we finished all code we need. The whole process of uploading would be like this below. Below is the full client side JavaScript code. 1: <script type="text/javascript" src="~/Scripts/async.js"></script> 2: <script type="text/javascript"> 3: $(function () { 4: $("#upload_button_blob").click(function () { 5: // assert the browser support html5 6: if (window.File && window.Blob && window.FormData) { 7: alert("Your brwoser is awesome, let's rock!"); 8: } 9: else { 10: alert("Oh man plz update to a modern browser before try is cool stuff out."); 11: return; 12: } 13:  14: // start to upload each files in chunks 15: var files = $("#upload_files")[0].files; 16: for (var i = 0; i < files.length; i++) { 17: var file = files[i]; 18: var fileSize = file.size; 19: var fileName = file.name; 20:  21: // calculate the start and end byte index for each blocks(chunks) 22: // with the index, file name and index list for future using 23: var blockSizeInKB = $("#block_size").val(); 24: var blockSize = blockSizeInKB * 1024; 25: var blocks = []; 26: var offset = 0; 27: var index = 0; 28: var list = ""; 29: while (offset < fileSize) { 30: var start = offset; 31: var end = Math.min(offset + blockSize, fileSize); 32:  33: blocks.push({ 34: name: fileName, 35: index: index, 36: start: start, 37: end: end 38: }); 39: list += index + ","; 40:  41: offset = end; 42: index++; 43: } 44:  45: // define the function array and push all chunk upload operation into this array 46: var putBlocks = []; 47: blocks.forEach(function (block) { 48: putBlocks.push(function (callback) { 49: // load blob based on the start and end index for each chunks 50: var blob = file.slice(block.start, block.end); 51: // put the file name, index and blob into a temporary from 52: var fd = new FormData(); 53: fd.append("name", block.name); 54: fd.append("index", block.index); 55: fd.append("file", blob); 56: // post the form to backend service (asp.net mvc controller action) 57: $.ajax({ 58: url: "/Home/UploadInFormData", 59: data: fd, 60: processData: false, 61: contentType: "multipart/form-data", 62: type: "POST", 63: success: function (result) { 64: if (!result.success) { 65: alert(result.error); 66: } 67: callback(null, block.index); 68: } 69: }); 70: }); 71: }); 72:  73: // invoke the functions one by one 74: // then invoke the commit ajax call to put blocks into blob in azure storage 75: async.series(putBlocks, function (error, result) { 76: var data = { 77: name: fileName, 78: list: list 79: }; 80: $.post("/Home/Commit", data, function (result) { 81: if (!result.success) { 82: alert(result.error); 83: } 84: else { 85: alert("done!"); 86: } 87: }); 88: }); 89: } 90: }); 91: }); 92: </script> And below is the full ASP.NET MVC controller code. 1: public class HomeController : Controller 2: { 3: private CloudStorageAccount _account; 4: private CloudBlobClient _client; 5:  6: public HomeController() 7: : base() 8: { 9: _account = CloudStorageAccount.Parse(CloudConfigurationManager.GetSetting("DataConnectionString")); 10: _client = _account.CreateCloudBlobClient(); 11: } 12:  13: public ActionResult Index() 14: { 15: ViewBag.Message = "Modify this template to jump-start your ASP.NET MVC application."; 16:  17: return View(); 18: } 19:  20: [HttpPost] 21: public JsonResult UploadInFormData() 22: { 23: var error = string.Empty; 24: try 25: { 26: var name = Request.Form["name"]; 27: var index = int.Parse(Request.Form["index"]); 28: var file = Request.Files[0]; 29: var id = Convert.ToBase64String(BitConverter.GetBytes(index)); 30:  31: var container = _client.GetContainerReference("test"); 32: container.CreateIfNotExists(); 33: var blob = container.GetBlockBlobReference(name); 34: blob.PutBlock(id, file.InputStream, null); 35: } 36: catch (Exception e) 37: { 38: error = e.ToString(); 39: } 40:  41: return new JsonResult() 42: { 43: Data = new 44: { 45: success = string.IsNullOrWhiteSpace(error), 46: error = error 47: } 48: }; 49: } 50:  51: [HttpPost] 52: public JsonResult Commit() 53: { 54: var error = string.Empty; 55: try 56: { 57: var name = Request.Form["name"]; 58: var list = Request.Form["list"]; 59: var ids = list 60: .Split(',') 61: .Where(id => !string.IsNullOrWhiteSpace(id)) 62: .Select(id => Convert.ToBase64String(BitConverter.GetBytes(int.Parse(id)))) 63: .ToArray(); 64:  65: var container = _client.GetContainerReference("test"); 66: container.CreateIfNotExists(); 67: var blob = container.GetBlockBlobReference(name); 68: blob.PutBlockList(ids); 69: } 70: catch (Exception e) 71: { 72: error = e.ToString(); 73: } 74:  75: return new JsonResult() 76: { 77: Data = new 78: { 79: success = string.IsNullOrWhiteSpace(error), 80: error = error 81: } 82: }; 83: } 84: } And if we selected a file from the browser we will see our application will upload chunks in the size we specified to the server through ajax call in background, and then commit all chunks in one blob. Then we can find the blob in our Windows Azure Blob Storage.   Optimized by Parallel Upload In previous example we just uploaded our file in chunks. This solved the problem that ASP.NET MVC request content size limitation as well as the Windows Azure load balancer timeout. But it might introduce the performance problem since we uploaded chunks in sequence. In order to improve the upload performance we could modify our client side code a bit to make the upload operation invoked in parallel. The good news is that, “async.js” library provides the parallel execution function. If you remembered the code we invoke the service to upload chunks, it utilized “async.series” which means all functions will be executed in sequence. Now we will change this code to “async.parallel”. This will invoke all functions in parallel. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.parallel(putBlocks, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: }); In this way all chunks will be uploaded to the server side at the same time to maximize the bandwidth usage. This should work if the file was not very large and the chunk size was not very small. But for large file this might introduce another problem that too many ajax calls are sent to the server at the same time. So the best solution should be, upload the chunks in parallel with maximum concurrency limitation. The code below specified the concurrency limitation to 4, which means at the most only 4 ajax calls could be invoked at the same time. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.parallelLimit(putBlocks, 4, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: });   Summary In this post we discussed how to upload files in chunks to the backend service and then upload them into Windows Azure Blob Storage in blocks. We focused on the frontend side and leverage three new feature introduced in HTML 5 which are - File.slice: Read part of the file by specifying the start and end byte index. - Blob: File-like interface which contains the part of the file content. - FormData: Temporary form element that we can pass the chunk alone with some metadata to the backend service. Then we discussed the performance consideration of chunk uploading. Sequence upload cannot provide maximized upload speed, but the unlimited parallel upload might crash the browser and server if too many chunks. So we finally came up with the solution to upload chunks in parallel with the concurrency limitation. We also demonstrated how to utilize “async.js” JavaScript library to help us control the asynchronize call and the parallel limitation.   Regarding the chunk size and the parallel limitation value there is no “best” value. You need to test vary composition and find out the best one for your particular scenario. It depends on the local bandwidth, client machine cores and the server side (Windows Azure Cloud Service Virtual Machine) cores, memory and bandwidth. Below is one of my performance test result. The client machine was Windows 8 IE 10 with 4 cores. I was using Microsoft Cooperation Network. The web site was hosted on Windows Azure China North data center (in Beijing) with one small web role (1.7GB 1 core CPU, 1.75GB memory with 100Mbps bandwidth). The test cases were - Chunk size: 512KB, 1MB, 2MB, 4MB. - Upload Mode: Sequence, parallel (unlimited), parallel with limit (4 threads, 8 threads). - Chunk Format: base64 string, binaries. - Target file: 100MB. - Each case was tested 3 times. Below is the test result chart. Some thoughts, but not guidance or best practice: - Parallel gets better performance than series. - No significant performance improvement between parallel 4 threads and 8 threads. - Transform with binaries provides better performance than base64. - In all cases, chunk size in 1MB - 2MB gets better performance.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • Node.js Adventure - When Node Flying in Wind

    - by Shaun
    In the first post of this series I mentioned some popular modules in the community, such as underscore, async, etc.. I also listed a module named “Wind (zh-CN)”, which is created by one of my friend, Jeff Zhao (zh-CN). Now I would like to use a separated post to introduce this module since I feel it brings a new async programming style in not only Node.js but JavaScript world. If you know or heard about the new feature in C# 5.0 called “async and await”, or you learnt F#, you will find the “Wind” brings the similar async programming experience in JavaScript. By using “Wind”, we can write async code that looks like the sync code. The callbacks, async stats and exceptions will be handled by “Wind” automatically and transparently.   What’s the Problem: Dense “Callback” Phobia Let’s firstly back to my second post in this series. As I mentioned in that post, when we wanted to read some records from SQL Server we need to open the database connection, and then execute the query. In Node.js all IO operation are designed as async callback pattern which means when the operation was done, it will invoke a function which was taken from the last parameter. For example the database connection opening code would be like this. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: } 8: }); And then if we need to query the database the code would be like this. It nested in the previous function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: } 14: }; 15: } 16: }); Assuming if we need to copy some data from this database to another then we need to open another connection and execute the command within the function under the query function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: target.open(targetConnectionString, function(error, t_conn) { 14: if(error) { 15: // connect failed 16: } 17: else { 18: t_conn.queryRaw(copy_command, function(error, results) { 19: if(error) { 20: // copy failed 21: } 22: else { 23: // and then, what do you want to do now... 24: } 25: }; 26: } 27: }; 28: } 29: }; 30: } 31: }); This is just an example. In the real project the logic would be more complicated. This means our application might be messed up and the business process will be fragged by many callback functions. I would like call this “Dense Callback Phobia”. This might be a challenge how to make code straightforward and easy to read, something like below. 1: try 2: { 3: // open source connection 4: var s_conn = sqlConnect(s_connectionString); 5: // retrieve data 6: var results = sqlExecuteCommand(s_conn, s_command); 7: 8: // open target connection 9: var t_conn = sqlConnect(t_connectionString); 10: // prepare the copy command 11: var t_command = getCopyCommand(results); 12: // execute the copy command 13: sqlExecuteCommand(s_conn, t_command); 14: } 15: catch (ex) 16: { 17: // error handling 18: }   What’s the Problem: Sync-styled Async Programming Similar as the previous problem, the callback-styled async programming model makes the upcoming operation as a part of the current operation, and mixed with the error handling code. So it’s very hard to understand what on earth this code will do. And since Node.js utilizes non-blocking IO mode, we cannot invoke those operations one by one, as they will be executed concurrently. For example, in this post when I tried to copy the records from Windows Azure SQL Database (a.k.a. WASD) to Windows Azure Table Storage, if I just insert the data into table storage one by one and then print the “Finished” message, I will see the message shown before the data had been copied. This is because all operations were executed at the same time. In order to make the copy operation and print operation executed synchronously I introduced a module named “async” and the code was changed as below. 1: async.forEach(results.rows, 2: function (row, callback) { 3: var resource = { 4: "PartitionKey": row[1], 5: "RowKey": row[0], 6: "Value": row[2] 7: }; 8: client.insertEntity(tableName, resource, function (error) { 9: if (error) { 10: callback(error); 11: } 12: else { 13: console.log("entity inserted."); 14: callback(null); 15: } 16: }); 17: }, 18: function (error) { 19: if (error) { 20: error["target"] = "insertEntity"; 21: res.send(500, error); 22: } 23: else { 24: console.log("all done."); 25: res.send(200, "Done!"); 26: } 27: }); It ensured that the “Finished” message will be printed when all table entities had been inserted. But it cannot promise that the records will be inserted in sequence. It might be another challenge to make the code looks like in sync-style? 1: try 2: { 3: forEach(row in rows) { 4: var entity = { /* ... */ }; 5: tableClient.insert(tableName, entity); 6: } 7:  8: console.log("Finished"); 9: } 10: catch (ex) { 11: console.log(ex); 12: }   How “Wind” Helps “Wind” is a JavaScript library which provides the control flow with plain JavaScript for asynchronous programming (and more) without additional pre-compiling steps. It’s available in NPM so that we can install it through “npm install wind”. Now let’s create a very simple Node.js application as the example. This application will take some website URLs from the command arguments and tried to retrieve the body length and print them in console. Then at the end print “Finish”. I’m going to use “request” module to make the HTTP call simple so I also need to install by the command “npm install request”. The code would be like this. 1: var request = require("request"); 2:  3: // get the urls from arguments, the first two arguments are `node.exe` and `fetch.js` 4: var args = process.argv.splice(2); 5:  6: // main function 7: var main = function() { 8: for(var i = 0; i < args.length; i++) { 9: // get the url 10: var url = args[i]; 11: // send the http request and try to get the response and body 12: request(url, function(error, response, body) { 13: if(!error && response.statusCode == 200) { 14: // log the url and the body length 15: console.log( 16: "%s: %d.", 17: response.request.uri.href, 18: body.length); 19: } 20: else { 21: // log error 22: console.log(error); 23: } 24: }); 25: } 26: 27: // finished 28: console.log("Finished"); 29: }; 30:  31: // execute the main function 32: main(); Let’s execute this application. (I made them in multi-lines for better reading.) 1: node fetch.js 2: "http://www.igt.com/us-en.aspx" 3: "http://www.igt.com/us-en/games.aspx" 4: "http://www.igt.com/us-en/cabinets.aspx" 5: "http://www.igt.com/us-en/systems.aspx" 6: "http://www.igt.com/us-en/interactive.aspx" 7: "http://www.igt.com/us-en/social-gaming.aspx" 8: "http://www.igt.com/support.aspx" Below is the output. As you can see the finish message was printed at the beginning, and the pages’ length retrieved in a different order than we specified. This is because in this code the request command, console logging command are executed asynchronously and concurrently. Now let’s introduce “Wind” to make them executed in order, which means it will request the websites one by one, and print the message at the end.   First of all we need to import the “Wind” package and make sure the there’s only one global variant named “Wind”, and ensure it’s “Wind” instead of “wind”. 1: var Wind = require("wind");   Next, we need to tell “Wind” which code will be executed asynchronously so that “Wind” can control the execution process. In this case the “request” operation executed asynchronously so we will create a “Task” by using a build-in helps function in “Wind” named Wind.Async.Task.create. 1: var requestBodyLengthAsync = function(url) { 2: return Wind.Async.Task.create(function(t) { 3: request(url, function(error, response, body) { 4: if(error || response.statusCode != 200) { 5: t.complete("failure", error); 6: } 7: else { 8: var data = 9: { 10: uri: response.request.uri.href, 11: length: body.length 12: }; 13: t.complete("success", data); 14: } 15: }); 16: }); 17: }; The code above created a “Task” from the original request calling code. In “Wind” a “Task” means an operation will be finished in some time in the future. A “Task” can be started by invoke its start() method, but no one knows when it actually will be finished. The Wind.Async.Task.create helped us to create a task. The only parameter is a function where we can put the actual operation in, and then notify the task object it’s finished successfully or failed by using the complete() method. In the code above I invoked the request method. If it retrieved the response successfully I set the status of this task as “success” with the URL and body length. If it failed I set this task as “failure” and pass the error out.   Next, we will change the main() function. In “Wind” if we want a function can be controlled by Wind we need to mark it as “async”. This should be done by using the code below. 1: var main = eval(Wind.compile("async", function() { 2: })); When the application is running, Wind will detect “eval(Wind.compile(“async”, function” and generate an anonymous code from the body of this original function. Then the application will run the anonymous code instead of the original one. In our example the main function will be like this. 1: var main = eval(Wind.compile("async", function() { 2: for(var i = 0; i < args.length; i++) { 3: try 4: { 5: var result = $await(requestBodyLengthAsync(args[i])); 6: console.log( 7: "%s: %d.", 8: result.uri, 9: result.length); 10: } 11: catch (ex) { 12: console.log(ex); 13: } 14: } 15: 16: console.log("Finished"); 17: })); As you can see, when I tried to request the URL I use a new command named “$await”. It tells Wind, the operation next to $await will be executed asynchronously, and the main thread should be paused until it finished (or failed). So in this case, my application will be pause when the first response was received, and then print its body length, then try the next one. At the end, print the finish message.   Finally, execute the main function. The full code would be like this. 1: var request = require("request"); 2: var Wind = require("wind"); 3:  4: var args = process.argv.splice(2); 5:  6: var requestBodyLengthAsync = function(url) { 7: return Wind.Async.Task.create(function(t) { 8: request(url, function(error, response, body) { 9: if(error || response.statusCode != 200) { 10: t.complete("failure", error); 11: } 12: else { 13: var data = 14: { 15: uri: response.request.uri.href, 16: length: body.length 17: }; 18: t.complete("success", data); 19: } 20: }); 21: }); 22: }; 23:  24: var main = eval(Wind.compile("async", function() { 25: for(var i = 0; i < args.length; i++) { 26: try 27: { 28: var result = $await(requestBodyLengthAsync(args[i])); 29: console.log( 30: "%s: %d.", 31: result.uri, 32: result.length); 33: } 34: catch (ex) { 35: console.log(ex); 36: } 37: } 38: 39: console.log("Finished"); 40: })); 41:  42: main().start();   Run our new application. At the beginning we will see the compiled and generated code by Wind. Then we can see the pages were requested one by one, and at the end the finish message was printed. Below is the code Wind generated for us. As you can see the original code, the output code were shown. 1: // Original: 2: function () { 3: for(var i = 0; i < args.length; i++) { 4: try 5: { 6: var result = $await(requestBodyLengthAsync(args[i])); 7: console.log( 8: "%s: %d.", 9: result.uri, 10: result.length); 11: } 12: catch (ex) { 13: console.log(ex); 14: } 15: } 16: 17: console.log("Finished"); 18: } 19:  20: // Compiled: 21: /* async << function () { */ (function () { 22: var _builder_$0 = Wind.builders["async"]; 23: return _builder_$0.Start(this, 24: _builder_$0.Combine( 25: _builder_$0.Delay(function () { 26: /* var i = 0; */ var i = 0; 27: /* for ( */ return _builder_$0.For(function () { 28: /* ; i < args.length */ return i < args.length; 29: }, function () { 30: /* ; i ++) { */ i ++; 31: }, 32: /* try { */ _builder_$0.Try( 33: _builder_$0.Delay(function () { 34: /* var result = $await(requestBodyLengthAsync(args[i])); */ return _builder_$0.Bind(requestBodyLengthAsync(args[i]), function (result) { 35: /* console.log("%s: %d.", result.uri, result.length); */ console.log("%s: %d.", result.uri, result.length); 36: return _builder_$0.Normal(); 37: }); 38: }), 39: /* } catch (ex) { */ function (ex) { 40: /* console.log(ex); */ console.log(ex); 41: return _builder_$0.Normal(); 42: /* } */ }, 43: null 44: ) 45: /* } */ ); 46: }), 47: _builder_$0.Delay(function () { 48: /* console.log("Finished"); */ console.log("Finished"); 49: return _builder_$0.Normal(); 50: }) 51: ) 52: ); 53: /* } */ })   How Wind Works Someone may raise a big concern when you find I utilized “eval” in my code. Someone may assume that Wind utilizes “eval” to execute some code dynamically while “eval” is very low performance. But I would say, Wind does NOT use “eval” to run the code. It only use “eval” as a flag to know which code should be compiled at runtime. When the code was firstly been executed, Wind will check and find “eval(Wind.compile(“async”, function”. So that it knows this function should be compiled. Then it utilized parse-js to analyze the inner JavaScript and generated the anonymous code in memory. Then it rewrite the original code so that when the application was running it will use the anonymous one instead of the original one. Since the code generation was done at the beginning of the application was started, in the future no matter how long our application runs and how many times the async function was invoked, it will use the generated code, no need to generate again. So there’s no significant performance hurt when using Wind.   Wind in My Previous Demo Let’s adopt Wind into one of my previous demonstration and to see how it helps us to make our code simple, straightforward and easy to read and understand. In this post when I implemented the functionality that copied the records from my WASD to table storage, the logic would be like this. 1, Open database connection. 2, Execute a query to select all records from the table. 3, Recreate the table in Windows Azure table storage. 4, Create entities from each of the records retrieved previously, and then insert them into table storage. 5, Finally, show message as the HTTP response. But as the image below, since there are so many callbacks and async operations, it’s very hard to understand my logic from the code. Now let’s use Wind to rewrite our code. First of all, of course, we need the Wind package. Then we need to include the package files into project and mark them as “Copy always”. Add the Wind package into the source code. Pay attention to the variant name, you must use “Wind” instead of “wind”. 1: var express = require("express"); 2: var async = require("async"); 3: var sql = require("node-sqlserver"); 4: var azure = require("azure"); 5: var Wind = require("wind"); Now we need to create some async functions by using Wind. All async functions should be wrapped so that it can be controlled by Wind which are open database, retrieve records, recreate table (delete and create) and insert entity in table. Below are these new functions. All of them are created by using Wind.Async.Task.create. 1: sql.openAsync = function (connectionString) { 2: return Wind.Async.Task.create(function (t) { 3: sql.open(connectionString, function (error, conn) { 4: if (error) { 5: t.complete("failure", error); 6: } 7: else { 8: t.complete("success", conn); 9: } 10: }); 11: }); 12: }; 13:  14: sql.queryAsync = function (conn, query) { 15: return Wind.Async.Task.create(function (t) { 16: conn.queryRaw(query, function (error, results) { 17: if (error) { 18: t.complete("failure", error); 19: } 20: else { 21: t.complete("success", results); 22: } 23: }); 24: }); 25: }; 26:  27: azure.recreateTableAsync = function (tableName) { 28: return Wind.Async.Task.create(function (t) { 29: client.deleteTable(tableName, function (error, successful, response) { 30: console.log("delete table finished"); 31: client.createTableIfNotExists(tableName, function (error, successful, response) { 32: console.log("create table finished"); 33: if (error) { 34: t.complete("failure", error); 35: } 36: else { 37: t.complete("success", null); 38: } 39: }); 40: }); 41: }); 42: }; 43:  44: azure.insertEntityAsync = function (tableName, entity) { 45: return Wind.Async.Task.create(function (t) { 46: client.insertEntity(tableName, entity, function (error, entity, response) { 47: if (error) { 48: t.complete("failure", error); 49: } 50: else { 51: t.complete("success", null); 52: } 53: }); 54: }); 55: }; Then in order to use these functions we will create a new function which contains all steps for data copying. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: } 4: catch (ex) { 5: console.log(ex); 6: res.send(500, "Internal error."); 7: } 8: })); Let’s execute steps one by one with the “$await” keyword introduced by Wind so that it will be invoked in sequence. First is to open the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: } 7: catch (ex) { 8: console.log(ex); 9: res.send(500, "Internal error."); 10: } 11: })); Then retrieve all records from the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: } 10: catch (ex) { 11: console.log(ex); 12: res.send(500, "Internal error."); 13: } 14: })); After recreated the table, we need to create the entities and insert them into table storage. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: } 24: } 25: catch (ex) { 26: console.log(ex); 27: res.send(500, "Internal error."); 28: } 29: })); Finally, send response back to the browser. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: // send response 24: console.log("all done"); 25: res.send(200, "All done!"); 26: } 27: } 28: catch (ex) { 29: console.log(ex); 30: res.send(500, "Internal error."); 31: } 32: })); If we compared with the previous code we will find now it became more readable and much easy to understand. It’s very easy to know what this function does even though without any comments. When user go to URL “/was/copyRecords” we will execute the function above. The code would be like this. 1: app.get("/was/copyRecords", function (req, res) { 2: copyRecords(req, res).start(); 3: }); And below is the logs printed in local compute emulator console. As we can see the functions executed one by one and then finally the response back to me browser.   Scaffold Functions in Wind Wind provides not only the async flow control and compile functions, but many scaffold methods as well. We can build our async code more easily by using them. I’m going to introduce some basic scaffold functions here. In the code above I created some functions which wrapped from the original async function such as open database, create table, etc.. All of them are very similar, created a task by using Wind.Async.Task.create, return error or result object through Task.complete function. In fact, Wind provides some functions for us to create task object from the original async functions. If the original async function only has a callback parameter, we can use Wind.Async.Binding.fromCallback method to get the task object directly. For example the code below returned the task object which wrapped the file exist check function. 1: var Wind = require("wind"); 2: var fs = require("fs"); 3:  4: fs.existsAsync = Wind.Async.Binding.fromCallback(fs.exists); In Node.js a very popular async function pattern is that, the first parameter in the callback function represent the error object, and the other parameters is the return values. In this case we can use another build-in function in Wind named Wind.Async.Binding.fromStandard. For example, the open database function can be created from the code below. 1: sql.openAsync = Wind.Async.Binding.fromStandard(sql.open); 2:  3: /* 4: sql.openAsync = function (connectionString) { 5: return Wind.Async.Task.create(function (t) { 6: sql.open(connectionString, function (error, conn) { 7: if (error) { 8: t.complete("failure", error); 9: } 10: else { 11: t.complete("success", conn); 12: } 13: }); 14: }); 15: }; 16: */ When I was testing the scaffold functions under Wind.Async.Binding I found for some functions, such as the Azure SDK insert entity function, cannot be processed correctly. So I personally suggest writing the wrapped method manually.   Another scaffold method in Wind is the parallel tasks coordination. In this example, the steps of open database, retrieve records and recreated table should be invoked one by one, but it can be executed in parallel when copying data from database to table storage. In Wind there’s a scaffold function named Task.whenAll which can be used here. Task.whenAll accepts a list of tasks and creates a new task. It will be returned only when all tasks had been completed, or any errors occurred. For example in the code below I used the Task.whenAll to make all copy operation executed at the same time. 1: var copyRecordsInParallel = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage in parallal 14: var tasks = new Array(results.rows.length); 15: for (var i = 0; i < results.rows.length; i++) { 16: var entity = { 17: "PartitionKey": results.rows[i][1], 18: "RowKey": results.rows[i][0], 19: "Value": results.rows[i][2] 20: }; 21: tasks[i] = azure.insertEntityAsync(tableName, entity); 22: } 23: $await(Wind.Async.Task.whenAll(tasks)); 24: // send response 25: console.log("all done"); 26: res.send(200, "All done!"); 27: } 28: } 29: catch (ex) { 30: console.log(ex); 31: res.send(500, "Internal error."); 32: } 33: })); 34:  35: app.get("/was/copyRecordsInParallel", function (req, res) { 36: copyRecordsInParallel(req, res).start(); 37: });   Besides the task creation and coordination, Wind supports the cancellation solution so that we can send the cancellation signal to the tasks. It also includes exception solution which means any exceptions will be reported to the caller function.   Summary In this post I introduced a Node.js module named Wind, which created by my friend Jeff Zhao. As you can see, different from other async library and framework, adopted the idea from F# and C#, Wind utilizes runtime code generation technology to make it more easily to write async, callback-based functions in a sync-style way. By using Wind there will be almost no callback, and the code will be very easy to understand. Currently Wind is still under developed and improved. There might be some problems but the author, Jeff, should be very happy and enthusiastic to learn your problems, feedback, suggestion and comments. You can contact Jeff by - Email: [email protected] - Group: https://groups.google.com/d/forum/windjs - GitHub: https://github.com/JeffreyZhao/wind/issues   Source code can be download here.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • Laissez les bon temps rouler! (Microsoft BI Conference 2010)

    - by smisner
    "Laissez les bons temps rouler" is a Cajun phrase that I heard frequently when I lived in New Orleans in the mid-1990s. It means "Let the good times roll!" and encapsulates a feeling of happy expectation. As I met with many of my peers and new acquaintances at the Microsoft BI Conference last week, this phrase kept running through my mind as people spoke about their plans in their respective businesses, the benefits and opportunities that the recent releases in the BI stack are providing, and their expectations about the future of the BI stack. Notwithstanding some jabs here and there to point out the platform is neither perfect now nor will be anytime soon (along with admissions that the competitors are also not perfect), and notwithstanding several missteps by the event organizers (which I don't care to enumerate), the overarching mood at the conference was positive. It was a refreshing change from the doom and gloom hovering over several conferences that I attended in 2009. Although many people expect economic hardships to continue over the coming year or so, everyone I know in the BI field is busier than ever and expects to stay busy for quite a while. Self-Service BI Self-service was definitely a theme of the BI conference. In the keynote, Ted Kummert opened with a look back to a fairy tale vision of self-service BI that he told in 2008. At that time, the fairy tale future was a time when "every end user was able to use BI technologies within their job in order to move forward more effectively" and transitioned to the present time in which SQL Server 2008 R2, Office 2010, and SharePoint 2010 are available to deliver managed self-service BI. This set of technologies is presumably poised to address the needs of the 80% of users that Kummert said do not use BI today. He proceeded to outline a series of activities that users ought to be able to do themselves--from simple changes to a report like formatting or an addtional data visualization to integration of an additional data source. The keynote then continued with a series of demonstrations of both current and future technology in support of self-service BI. Some highlights that interested me: PowerPivot, of course, is the flagship product for self-service BI in the Microsoft BI stack. In the TechEd keynote, which was open to the BI conference attendees, Amir Netz (twitter) impressed the audience by demonstrating interactivity with a workbook containing 100 million rows. He upped the ante at the BI keynote with his demonstration of a future-state PowerPivot workbook containing over 2 billion records. It's important to note that this volume of data is being processed by a server engine, and not in the PowerPivot client engine. (Yes, I think it's impressive, but none of my clients are typically wrangling with 2 billion records at a time. Maybe they're thinking too small. This ability to work quickly with large data sets has greater implications for BI solutions than for self-service BI, in my opinion.) Amir also demonstrated KPIs for the future PowerPivot, which appeared to be easier to implement than in any other Microsoft product that supports KPIs, apart from simple KPIs in SharePoint. (My initial reaction is that we have one more place to build KPIs. Great. It's confusing enough. I haven't seen how well those KPIs integrate with other BI tools, which will be important for adoption.) One more PowerPivot feature that Amir showed was a graphical display of the lineage for calculations. (This is hugely practical, especially if you build up calculations incrementally. You can more easily follow the logic from calculation to calculation. Furthermore, if you need to make a change to one calculation, you can assess the impact on other calculations.) Another product demonstration will be available within the next 30 days--Pivot for Reporting Services. If you haven't seen this technology yet, check it out at www.getpivot.com. (It definitely has a wow factor, but I'm skeptical about its practicality. However, I'm looking forward to trying it out with data that I understand.) Michael Tejedor (twitter) demonstrated a feature that I think is really interesting and not emphasized nearly enough--overshadowed by PowerPivot, no doubt. That feature is the Microsoft Business Intelligence Indexing Connector, which enables search of the content of Excel workbooks and Reporting Services reports. (This capability existed in MOSS 2007, but was more cumbersome to implement. The search results in SharePoint 2010 are not only cooler, but more useful by describing whether the content is found in a table or a chart, for example.) This may yet be the dawning of the age of self-service BI - a phrase I've heard repeated from time to time over the last decade - but I think BI professionals are likely to stay busy for a long while, and need not start looking for a new line of work. Kummert repeatedly referenced strategic BI solutions in contrast to self-service BI to emphasize that self-service BI is not a replacement for the services that BI professionals provide. After all, self-service BI does not appear magically on user desktops (or whatever device they want to use). A supporting infrastructure is necessary, and grows in complexity in proportion to the need to simplify BI for users. It's one thing to hear the party line touted by Microsoft employees at the BI keynote, but it's another to hear from the people who are responsible for implementing and supporting it within an organization. Rob Collie (blog | twitter), Kasper de Jonge (blog | twitter), Vidas Matelis (site | twitter), and I were invited to join Andrew Brust (blog | twitter) as he led a Birds of a Feather session at TechEd entitled "PowerPivot: Is It the BI Deal-Changer for Developers and IT Pros?" I would single out the prevailing concern in this session as the issue of control. On one side of this issue were those who were concerned that they would lose control once PowerPivot is implemented. On the other side were those who believed that data should be freely accessible to users in PowerPivot, and even acknowledgment that users would get the data they want even if it meant they would have to manually enter into a workbook to have it ready for analysis. For another viewpoint on how PowerPivot played out at the conference, see Rob Collie's observations. Collaborative BI I have been intrigued by the notion of collaborative BI for a very long time. Before I discovered BI, I was a Lotus Notes developer and later a manager of developers, working in a software company that enabled collaboration in the legal industry. Not only did I help create collaborative systems for our clients, I created a complete project management from the ground up to collaboratively manage our custom development work. In that case, collaboration involved my team, my client contacts, and me. I was also able to produce my own BI from that system as well, but didn't know that's what I was doing at the time. Only in recent years has SharePoint begun to catch up with the capabilities that I had with Lotus Notes more than a decade ago. Eventually, I had the opportunity at that job to formally investigate BI as another product offering for our software, and the rest - as they say - is history. I built my first data warehouse with Scott Cameron (who has also ventured into the authoring world by writing Analysis Services 2008 Step by Step and was at the BI Conference last week where I got to reminisce with him for a bit) and that began a career that I never imagined at the time. Fast forward to 2010, and I'm still lauding the virtues of collaborative BI, if only the tools will catch up to my vision! Thus, I was anxious to see what Donald Farmer (blog | twitter) and Rita Sallam of Gartner had to say on the subject in their session "Collaborative Decision Making." As I suspected, the tools aren't quite there yet, but the vendors are moving in the right direction. One thing I liked about this session was a non-Microsoft perspective of the state of the industry with regard to collaborative BI. In addition, this session included a better demonstration of SharePoint collaborative BI capabilities than appeared in the BI keynote. Check out the video in the link to the session to see the demonstration. One of the use cases that was demonstrated was linking from information to a person, because, as Donald put it, "People don't trust data, they trust people." The Microsoft BI Stack in General A question I hear all the time from students when I'm teaching is how to know what tools to use when there is overlap between products in the BI stack. I've never taken the time to codify my thoughts on the subject, but saw that my friend Dan Bulos provided good insight on this topic from a variety of perspectives in his session, "So Many BI Tools, So Little Time." I thought one of his best points was that ideally you should be able to design in your tool of choice, and then deploy to your tool of choice. Unfortunately, the ideal is yet to become real across the platform. The closest we come is with the RDL in Reporting Services which can be produced from two different tools (Report Builder or Business Intelligence Development Studio's Report Designer), manually, or by a third-party or custom application. I have touted the idea for years (and publicly said so about 5 years ago) that eventually more products would be RDL producers or consumers, but we aren't there yet. Maybe in another 5 years. Another interesting session that covered the BI stack against a backdrop of competitive products was delivered by Andrew Brust. Andrew did a marvelous job of consolidating a lot of information in a way that clearly communicated how various vendors' offerings compared to the Microsoft BI stack. He also made a particularly compelling argument about how the existence of an ecosystem around the Microsoft BI stack provided innovation and opportunities lacking for other vendors. Check out his presentation, "How Does the Microsoft BI Stack...Stack Up?" Expo Hall I had planned to spend more time in the Expo Hall to see who was doing new things with the BI stack, but didn't manage to get very far. Each time I set out on an exploratory mission, I got caught up in some fascinating conversations with one or more of my peers. I find interacting with people that I meet at conferences just as important as attending sessions to learn something new. There were a couple of items that really caught me eye, however, that I'll share here. Pragmatic Works. Whether you develop SSIS packages, build SSAS cubes, or author SSRS reports (or all of the above), you really must take a look at BI Documenter. Brian Knight (twitter) walked me through the key features, and I must say I was impressed. Once you've seen what this product can do, you won't want to document your BI projects any other way. You can download a free single-user database edition, or choose from more feature-rich standard or professional editions. Microsoft Press ebooks. I also stopped by the O'Reilly Media booth to meet some folks that one of my acquisitions editors at Microsoft Press recommended. In case you haven't heard, Microsoft Press has partnered with O'Reilly Media for distribution and publishing. Apart from my interest in learning more about O'Reilly Media as an author, an advertisement in their booth caught me eye which I think is a really great move. When you buy Microsoft Press ebooks through the O'Reilly web site, you can receive it in any (or all) of the following formats where possible: PDF, epub, .mobi for Kindle and .apk for Android. You also have lifetime DRM-free access to the ebooks. As someone who is an avid collector of books, I fnd myself running out of room for storage. In addition, I travel a lot, and it's hard to lug my reference library with me. Today's e-reader options make the move to digital books a more viable way to grow my library. Having a variety of formats means I am not limited to a single device, and lifetime access means I don't have to worry about keeping track of where I've stored my files. Because the e-books are DRM-free, I can copy and paste when I'm compiling notes, and I can print pages when necessary. That's a winning combination in my mind! Overall, I was pleased with the BI conference. There were many more sessions that I couldn't attend, either because the room was full when I got there or there were multiple sessions running concurrently that I wanted to see. Fortunately, many of the sessions are accessible for viewing online at http://www.msteched.com/2010/NorthAmerica along with the TechEd sessions. You can spot the BI sessions by the yellow skyline on the title slide of the presentation as shown below. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Laissez les bon temps rouler! (Microsoft BI Conference 2010)

    - by smisner
    Laissez les bons temps rouler" is a Cajun phrase that I heard frequently when I lived in New Orleans in the mid-1990s. It means "Let the good times roll!" and encapsulates a feeling of happy expectation. As I met with many of my peers and new acquaintances at the Microsoft BI Conference last week, this phrase kept running through my mind as people spoke about their plans in their respective businesses, the benefits and opportunities that the recent releases in the BI stack are providing, and their expectations about the future of the BI stack.Notwithstanding some jabs here and there to point out the platform is neither perfect now nor will be anytime soon (along with admissions that the competitors are also not perfect), and notwithstanding several missteps by the event organizers (which I don't care to enumerate), the overarching mood at the conference was positive. It was a refreshing change from the doom and gloom hovering over several conferences that I attended in 2009. Although many people expect economic hardships to continue over the coming year or so, everyone I know in the BI field is busier than ever and expects to stay busy for quite a while.Self-Service BISelf-service was definitely a theme of the BI conference. In the keynote, Ted Kummert opened with a look back to a fairy tale vision of self-service BI that he told in 2008. At that time, the fairy tale future was a time when "every end user was able to use BI technologies within their job in order to move forward more effectively" and transitioned to the present time in which SQL Server 2008 R2, Office 2010, and SharePoint 2010 are available to deliver managed self-service BI.This set of technologies is presumably poised to address the needs of the 80% of users that Kummert said do not use BI today. He proceeded to outline a series of activities that users ought to be able to do themselves--from simple changes to a report like formatting or an addtional data visualization to integration of an additional data source. The keynote then continued with a series of demonstrations of both current and future technology in support of self-service BI. Some highlights that interested me:PowerPivot, of course, is the flagship product for self-service BI in the Microsoft BI stack. In the TechEd keynote, which was open to the BI conference attendees, Amir Netz (twitter) impressed the audience by demonstrating interactivity with a workbook containing 100 million rows. He upped the ante at the BI keynote with his demonstration of a future-state PowerPivot workbook containing over 2 billion records. It's important to note that this volume of data is being processed by a server engine, and not in the PowerPivot client engine. (Yes, I think it's impressive, but none of my clients are typically wrangling with 2 billion records at a time. Maybe they're thinking too small. This ability to work quickly with large data sets has greater implications for BI solutions than for self-service BI, in my opinion.)Amir also demonstrated KPIs for the future PowerPivot, which appeared to be easier to implement than in any other Microsoft product that supports KPIs, apart from simple KPIs in SharePoint. (My initial reaction is that we have one more place to build KPIs. Great. It's confusing enough. I haven't seen how well those KPIs integrate with other BI tools, which will be important for adoption.)One more PowerPivot feature that Amir showed was a graphical display of the lineage for calculations. (This is hugely practical, especially if you build up calculations incrementally. You can more easily follow the logic from calculation to calculation. Furthermore, if you need to make a change to one calculation, you can assess the impact on other calculations.)Another product demonstration will be available within the next 30 days--Pivot for Reporting Services. If you haven't seen this technology yet, check it out at www.getpivot.com. (It definitely has a wow factor, but I'm skeptical about its practicality. However, I'm looking forward to trying it out with data that I understand.)Michael Tejedor (twitter) demonstrated a feature that I think is really interesting and not emphasized nearly enough--overshadowed by PowerPivot, no doubt. That feature is the Microsoft Business Intelligence Indexing Connector, which enables search of the content of Excel workbooks and Reporting Services reports. (This capability existed in MOSS 2007, but was more cumbersome to implement. The search results in SharePoint 2010 are not only cooler, but more useful by describing whether the content is found in a table or a chart, for example.)This may yet be the dawning of the age of self-service BI - a phrase I've heard repeated from time to time over the last decade - but I think BI professionals are likely to stay busy for a long while, and need not start looking for a new line of work. Kummert repeatedly referenced strategic BI solutions in contrast to self-service BI to emphasize that self-service BI is not a replacement for the services that BI professionals provide. After all, self-service BI does not appear magically on user desktops (or whatever device they want to use). A supporting infrastructure is necessary, and grows in complexity in proportion to the need to simplify BI for users.It's one thing to hear the party line touted by Microsoft employees at the BI keynote, but it's another to hear from the people who are responsible for implementing and supporting it within an organization. Rob Collie (blog | twitter), Kasper de Jonge (blog | twitter), Vidas Matelis (site | twitter), and I were invited to join Andrew Brust (blog | twitter) as he led a Birds of a Feather session at TechEd entitled "PowerPivot: Is It the BI Deal-Changer for Developers and IT Pros?" I would single out the prevailing concern in this session as the issue of control. On one side of this issue were those who were concerned that they would lose control once PowerPivot is implemented. On the other side were those who believed that data should be freely accessible to users in PowerPivot, and even acknowledgment that users would get the data they want even if it meant they would have to manually enter into a workbook to have it ready for analysis. For another viewpoint on how PowerPivot played out at the conference, see Rob Collie's observations.Collaborative BII have been intrigued by the notion of collaborative BI for a very long time. Before I discovered BI, I was a Lotus Notes developer and later a manager of developers, working in a software company that enabled collaboration in the legal industry. Not only did I help create collaborative systems for our clients, I created a complete project management from the ground up to collaboratively manage our custom development work. In that case, collaboration involved my team, my client contacts, and me. I was also able to produce my own BI from that system as well, but didn't know that's what I was doing at the time. Only in recent years has SharePoint begun to catch up with the capabilities that I had with Lotus Notes more than a decade ago. Eventually, I had the opportunity at that job to formally investigate BI as another product offering for our software, and the rest - as they say - is history. I built my first data warehouse with Scott Cameron (who has also ventured into the authoring world by writing Analysis Services 2008 Step by Step and was at the BI Conference last week where I got to reminisce with him for a bit) and that began a career that I never imagined at the time.Fast forward to 2010, and I'm still lauding the virtues of collaborative BI, if only the tools will catch up to my vision! Thus, I was anxious to see what Donald Farmer (blog | twitter) and Rita Sallam of Gartner had to say on the subject in their session "Collaborative Decision Making." As I suspected, the tools aren't quite there yet, but the vendors are moving in the right direction. One thing I liked about this session was a non-Microsoft perspective of the state of the industry with regard to collaborative BI. In addition, this session included a better demonstration of SharePoint collaborative BI capabilities than appeared in the BI keynote. Check out the video in the link to the session to see the demonstration. One of the use cases that was demonstrated was linking from information to a person, because, as Donald put it, "People don't trust data, they trust people."The Microsoft BI Stack in GeneralA question I hear all the time from students when I'm teaching is how to know what tools to use when there is overlap between products in the BI stack. I've never taken the time to codify my thoughts on the subject, but saw that my friend Dan Bulos provided good insight on this topic from a variety of perspectives in his session, "So Many BI Tools, So Little Time." I thought one of his best points was that ideally you should be able to design in your tool of choice, and then deploy to your tool of choice. Unfortunately, the ideal is yet to become real across the platform. The closest we come is with the RDL in Reporting Services which can be produced from two different tools (Report Builder or Business Intelligence Development Studio's Report Designer), manually, or by a third-party or custom application. I have touted the idea for years (and publicly said so about 5 years ago) that eventually more products would be RDL producers or consumers, but we aren't there yet. Maybe in another 5 years.Another interesting session that covered the BI stack against a backdrop of competitive products was delivered by Andrew Brust. Andrew did a marvelous job of consolidating a lot of information in a way that clearly communicated how various vendors' offerings compared to the Microsoft BI stack. He also made a particularly compelling argument about how the existence of an ecosystem around the Microsoft BI stack provided innovation and opportunities lacking for other vendors. Check out his presentation, "How Does the Microsoft BI Stack...Stack Up?"Expo HallI had planned to spend more time in the Expo Hall to see who was doing new things with the BI stack, but didn't manage to get very far. Each time I set out on an exploratory mission, I got caught up in some fascinating conversations with one or more of my peers. I find interacting with people that I meet at conferences just as important as attending sessions to learn something new. There were a couple of items that really caught me eye, however, that I'll share here.Pragmatic Works. Whether you develop SSIS packages, build SSAS cubes, or author SSRS reports (or all of the above), you really must take a look at BI Documenter. Brian Knight (twitter) walked me through the key features, and I must say I was impressed. Once you've seen what this product can do, you won't want to document your BI projects any other way. You can download a free single-user database edition, or choose from more feature-rich standard or professional editions.Microsoft Press ebooks. I also stopped by the O'Reilly Media booth to meet some folks that one of my acquisitions editors at Microsoft Press recommended. In case you haven't heard, Microsoft Press has partnered with O'Reilly Media for distribution and publishing. Apart from my interest in learning more about O'Reilly Media as an author, an advertisement in their booth caught me eye which I think is a really great move. When you buy Microsoft Press ebooks through the O'Reilly web site, you can receive it in any (or all) of the following formats where possible: PDF, epub, .mobi for Kindle and .apk for Android. You also have lifetime DRM-free access to the ebooks. As someone who is an avid collector of books, I fnd myself running out of room for storage. In addition, I travel a lot, and it's hard to lug my reference library with me. Today's e-reader options make the move to digital books a more viable way to grow my library. Having a variety of formats means I am not limited to a single device, and lifetime access means I don't have to worry about keeping track of where I've stored my files. Because the e-books are DRM-free, I can copy and paste when I'm compiling notes, and I can print pages when necessary. That's a winning combination in my mind!Overall, I was pleased with the BI conference. There were many more sessions that I couldn't attend, either because the room was full when I got there or there were multiple sessions running concurrently that I wanted to see. Fortunately, many of the sessions are accessible for viewing online at http://www.msteched.com/2010/NorthAmerica along with the TechEd sessions. You can spot the BI sessions by the yellow skyline on the title slide of the presentation as shown below. 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  • Xubuntu login hangs after Cancel Button click

    - by akester
    I'm running Xubuntu 12.04 (I installed using the alternative installer.) running in Virtaulbox 4.1.20 My issue is with the login screen (lightdm-gtk-greeter). It usually runs just fine, and allows users to log in and out but it will hang if the user presses the cancel button. The interface is still working (ie, shutdown menu is still available, I can switch to a different tty) but the username or password field (depending on when the button is hit) is disabled. Restarting lightdm will reset the screen, but the problem still exists. The issue is only with the cancel button. The login, session, and language buttons/menus as well as the accessibility and shutdown menu appear to work normally. I've modified some of the config files for lighdm-gtk-greeter, specifically /etc/lightdm/lighdm-gtk-greeter.conf to change the background image and /etc/lightdm/lightdm.conf to disable the user list. I did not check to see if the error existed before the changes took place. The changes have been restored the default settings but the problem persists. Here is the output of /var/log/lightdm/lightdm.log when the screen is hung: [+0.00s] DEBUG: Logging to /var/log/lightdm/lightdm.log [+0.00s] DEBUG: Starting Light Display Manager 1.2.1, UID=0 PID=2072 [+0.00s] DEBUG: Loaded configuration from /etc/lightdm/lightdm.conf [+0.00s] DEBUG: Using D-Bus name org.freedesktop.DisplayManager [+0.00s] DEBUG: Registered seat module xlocal [+0.00s] DEBUG: Registered seat module xremote [+0.00s] DEBUG: Adding default seat [+0.00s] DEBUG: Starting seat [+0.00s] DEBUG: Starting new display for greeter [+0.00s] DEBUG: Starting local X display [+0.02s] DEBUG: Using VT 7 [+0.02s] DEBUG: Activating VT 7 [+0.03s] DEBUG: Logging to /var/log/lightdm/x-0.log [+0.04s] DEBUG: Writing X server authority to /var/run/lightdm/root/:0 [+0.04s] DEBUG: Launching X Server [+0.05s] DEBUG: Launching process 2078: /usr/bin/X :0 -auth /var/run/lightdm/root/:0 -nolisten tcp vt7 -novtswitch [+0.05s] DEBUG: Waiting for ready signal from X server :0 [+0.05s] DEBUG: Acquired bus name org.freedesktop.DisplayManager [+0.05s] DEBUG: Registering seat with bus path /org/freedesktop/DisplayManager/Seat0 [+0.28s] DEBUG: Got signal 10 from process 2078 [+0.28s] DEBUG: Got signal from X server :0 [+0.28s] DEBUG: Connecting to XServer :0 [+0.29s] DEBUG: Starting greeter [+0.29s] DEBUG: Started session 2082 with service 'lightdm', username 'lightdm' [+0.36s] DEBUG: Session 2082 authentication complete with return value 0: Success [+0.36s] DEBUG: Greeter authorized [+0.36s] DEBUG: Logging to /var/log/lightdm/x-0-greeter.log [+0.36s] DEBUG: Session 2082 running command /usr/lib/lightdm/lightdm-greeter-session /usr/sbin/lightdm-gtk-greeter [+0.58s] DEBUG: Greeter connected version=1.2.1 [+0.58s] DEBUG: Greeter connected, display is ready [+0.58s] DEBUG: New display ready, switching to it [+0.58s] DEBUG: Activating VT 7 [+1.04s] DEBUG: Greeter start authentication for andrew [+1.04s] DEBUG: Started session 2137 with service 'lightdm', username 'andrew' [+1.09s] DEBUG: Session 2137 got 1 message(s) from PAM [+1.09s] DEBUG: Prompt greeter with 1 message(s) [+17.24s] DEBUG: Cancel authentication [+17.24s] DEBUG: Session 2137: Sending SIGTERM

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  • Should I install software on a "SAN"

    - by am2605
    Hi, I need to set up ColdFusion 9 on a ubuntu server that has a SAN disk mounted. Is it appropriate to install the CF server software on this disk? I don't really understand the ins and outs of what a SAN is, so I am not sure if the intention is for me to solely install web content on it or whether the server software itself should go here too. Any advice would be extremeness welcome. Many thanks, Andrew.

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