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  • Android MapView with High Res tiles?

    - by Nemi
    I have created a simple map app that shows the local garage sales in my town. It was simple enough to create and I parse out the Google Maps (html) xml doc that the local paper uses on their google maps mashup on their website. I have noticed that the Map Tiles used in the MapView class are not as high-res as the tiles used in the real Android Google Maps app (I have a Droid). I have searched the docs and google, but I cannot find any info on this. Actually, I can't even find anyone mentioning this, which surprises me and makes me think I am missing something simple. Is this a case of Google making the APIs available, but at a lower quality, or am I missing some setting that enables higher quality map tiles?

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  • Android MapView High Res tiles?

    - by Nemi
    I have created a simple map app that shows the local garage sales in my town. It was simple enough to create and I parse out the Google Maps (html) xml doc that the local paper uses on their google maps mashup on their website. I have noticed that the Map Tiles used in the MapView class are not as high-res as the tiles used in the real Android Google Maps app (I have a Droid). I have searched the docs and google, but I cannot find any info on this. Actually, I can't even find anyone mentioning this, which surprises me and makes me think I am missing something simple. Is this a case of Google making the APIs available, but at a lower quality, or am I missing some setting that enables higher quality map tiles?

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  • MS WebBrowser + Embedded HTML Resource + res:// Protocol

    - by letthewookiewin
    Hi, I have an embedded HTML resource (helloworld.htm) inside my Visual Studio project. (Ie, I've added an HTML file to the project and set its properties to "Embedded Resource". Within the same application I have a WebBrowser control. I'd like to direct the WebBrowser control to display the HTML resource using the res:// protocol. But I can't figure out the exact format needed to address an embedded resource using this style of URL. Any ideas? Thanks!

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  • Why i disconnect every few seconds? using USB wireless adapter

    - by Rev3rse
    i know it's for ubuntu questions..but mint and ubuntu are very similiar and i had the same problem with linux ubuntu too..so i think this is the right place for my question anyway i don't have experience with drivers and other things,after installing Linux on my machine( i did dist-upgrade btw) everything seem to be great because i didn't have to install any driver, after a while i realized that my connection stop after few minutes(actually it shows that I'm connected but it's not) so i have to reconnect and after few minutes it disconnect again. I'm using Alfa USB wireless adapter AWS036H, and my Linux version is 11 i think the driver i'm using is Realtek i searched in the Internet and i found nothing. these are some outputs of few things people usually ask for: Note: I'm NOT using a laptop. dmsg: [19445.604448] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=2.174.220.77 DST=192.168.1.6 LEN=52 TOS=0x00 PREC=0x00 TTL=104 ID=10466 DF PROTO=TCP SPT=55150 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [19448.164050] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=192.168.1.254 DST=192.168.1.6 LEN=56 TOS=0x00 PREC=0x00 TTL=255 ID=41982 PROTO=ICMP TYPE=3 CODE=0 [SRC=192.168.1.6 DST=91.189.88.33 LEN=52 TOS=0x00 PREC=0x00 TTL=63 ID=7566 DF PROTO=TCP INCOMPLETE [8 bytes] ] [19465.079565] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=80.128.216.31 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=113 ID=5100 DF PROTO=TCP SPT=50169 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [19486.270328] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=90.130.13.122 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=109 ID=22207 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19497.480522] wlan0: deauthenticating from 00:24:c8:4b:46:e0 by local choice (reason=3) [19497.593276] cfg80211: All devices are disconnected, going to restore regulatory settings [19497.593282] cfg80211: Restoring regulatory settings [19497.593346] cfg80211: Calling CRDA to update world regulatory domain [19497.638740] cfg80211: Updating information on frequency 2412 MHz for a 20 MHz width channel with regulatory rule: [19497.638745] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638749] cfg80211: Updating information on frequency 2417 MHz for a 20 MHz width channel with regulatory rule: [19497.638753] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638756] cfg80211: Updating information on frequency 2422 MHz for a 20 MHz width channel with regulatory rule: [19497.638760] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638763] cfg80211: Updating information on frequency 2427 MHz for a 20 MHz width channel with regulatory rule: [19497.638766] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638770] cfg80211: Updating information on frequency 2432 MHz for a 20 MHz width channel with regulatory rule: [19497.638773] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638776] cfg80211: Updating information on frequency 2437 MHz for a 20 MHz width channel with regulatory rule: [19497.638780] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638783] cfg80211: Updating information on frequency 2442 MHz for a 20 MHz width channel with regulatory rule: [19497.638787] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638790] cfg80211: Updating information on frequency 2447 MHz for a 20 MHz width channel with regulatory rule: [19497.638794] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638797] cfg80211: Updating information on frequency 2452 MHz for a 20 MHz width channel with regulatory rule: [19497.638801] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638804] cfg80211: Updating information on frequency 2457 MHz for a 20 MHz width channel with regulatory rule: [19497.638807] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638811] cfg80211: Updating information on frequency 2462 MHz for a 20 MHz width channel with regulatory rule: [19497.638814] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638817] cfg80211: Updating information on frequency 2467 MHz for a 20 MHz width channel with regulatory rule: [19497.638821] cfg80211: 2457000 KHz - 2482000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638824] cfg80211: Updating information on frequency 2472 MHz for a 20 MHz width channel with regulatory rule: [19497.638828] cfg80211: 2457000 KHz - 2482000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638831] cfg80211: Updating information on frequency 2484 MHz for a 20 MHz width channel with regulatory rule: [19497.638835] cfg80211: 2474000 KHz - 2494000 KHz @ KHz), (300 mBi, 2000 mBm) [19497.638838] cfg80211: World regulatory domain updated: [19497.638841] cfg80211: (start_freq - end_freq @ bandwidth), (max_antenna_gain, max_eirp) [19497.638845] cfg80211: (2402000 KHz - 2472000 KHz @ 40000 KHz), (300 mBi, 2000 mBm) [19497.638848] cfg80211: (2457000 KHz - 2482000 KHz @ 20000 KHz), (300 mBi, 2000 mBm) [19497.638852] cfg80211: (2474000 KHz - 2494000 KHz @ 20000 KHz), (300 mBi, 2000 mBm) [19497.638855] cfg80211: (5170000 KHz - 5250000 KHz @ 40000 KHz), (300 mBi, 2000 mBm) [19497.638859] cfg80211: (5735000 KHz - 5835000 KHz @ 40000 KHz), (300 mBi, 2000 mBm) [19513.145150] wlan0: authenticate with 00:24:c8:4b:46:e0 (try 1) [19513.146910] wlan0: authenticated [19513.252775] wlan0: associate with 00:24:c8:4b:46:e0 (try 1) [19513.255149] wlan0: RX AssocResp from 00:24:c8:4b:46:e0 (capab=0x411 status=0 aid=2) [19513.255154] wlan0: associated [19515.675091] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=91.79.8.40 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x20 TTL=110 ID=42720 DF PROTO=TCP SPT=1945 DPT=6881 WINDOW=65535 RES=0x00 SYN URGP=0 [19525.684312] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=78.13.80.169 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=109 ID=49890 DF PROTO=TCP SPT=53401 DPT=6881 WINDOW=16384 RES=0x00 SYN URGP=0 [19551.856766] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=85.228.39.93 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=103 ID=1162 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19564.623005] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=90.202.21.238 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=114 ID=17881 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19584.855364] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=2.49.151.87 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=117 ID=31716 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19604.688647] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=109.225.124.155 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=112 ID=6656 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19626.362529] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=81.184.50.41 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=114 ID=23241 DF PROTO=TCP SPT=1416 DPT=6881 WINDOW=65535 RES=0x00 SYN URGP=0 [19645.040906] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=92.250.245.244 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=51 ID=0 DF PROTO=TCP SPT=50061 DPT=6881 WINDOW=16384 RES=0x00 SYN URGP=0 [19665.212659] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=87.183.3.18 DST=192.168.1.6 LEN=52 TOS=0x00 PREC=0x00 TTL=111 ID=1689 DF PROTO=TCP SPT=62817 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [19685.036415] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=78.13.80.169 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=109 ID=50638 DF PROTO=TCP SPT=49624 DPT=6881 WINDOW=16384 RES=0x00 SYN URGP=0 [19705.487915] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=217.122.17.82 DST=192.168.1.6 LEN=56 TOS=0x00 PREC=0x00 TTL=112 ID=19070 DF PROTO=TCP SPT=54795 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [19726.779185] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=80.88.116.239 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=109 ID=32168 DF PROTO=TCP SPT=57330 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [19744.755673] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=109.124.5.43 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=113 ID=2288 DF PROTO=TCP SPT=6475 DPT=6881 WINDOW=65535 RES=0x00 SYN URGP=0 [19764.449183] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=79.216.35.19 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=113 ID=4281 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19784.456189] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=81.82.25.149 DST=192.168.1.6 LEN=52 TOS=0x00 PREC=0x00 TTL=114 ID=1866 DF PROTO=TCP SPT=59507 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [19804.836687] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=81.56.199.3 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=108 ID=14749 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19824.812685] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=186.28.7.159 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=107 ID=44686 PROTO=UDP SPT=23418 DPT=6881 LEN=28 [19847.683314] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=78.13.80.169 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=108 ID=63046 DF PROTO=TCP SPT=52192 DPT=6881 WINDOW=16384 RES=0x00 SYN URGP=0 [19884.711455] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=84.146.24.238 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=113 ID=27914 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19884.983589] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=2.107.130.61 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=112 ID=7742 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19905.681078] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=95.21.11.121 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=114 ID=31775 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19926.035707] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=109.76.132.55 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=113 ID=28140 DF PROTO=TCP SPT=51905 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [19945.668326] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=188.92.0.197 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=113 ID=7865 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [19967.200339] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=83.252.102.172 DST=192.168.1.6 LEN=52 TOS=0x00 PREC=0x00 TTL=105 ID=28408 DF PROTO=TCP SPT=63505 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [19999.752732] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=79.166.171.200 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=110 ID=36405 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [20007.928719] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=79.235.59.16 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=112 ID=46415 DF PROTO=TCP SPT=4537 DPT=6881 WINDOW=16384 RES=0x00 SYN URGP=0 [20026.181726] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=81.182.169.36 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=106 ID=25126 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [20048.845358] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=87.66.118.104 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=111 ID=18068 DF PROTO=TCP SPT=49928 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [20064.341857] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=77.2.63.153 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=107 ID=7242 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [20090.093490] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=93.16.17.210 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=108 ID=894 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [20104.443995] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=89.83.235.99 DST=192.168.1.6 LEN=52 TOS=0x00 PREC=0x00 TTL=114 ID=17295 DF PROTO=TCP SPT=58979 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [20128.625374] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=81.62.91.79 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=107 ID=21793 DF PROTO=TCP SPT=51446 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [20151.055506] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=84.135.217.213 DST=192.168.1.6 LEN=52 TOS=0x00 PREC=0x00 TTL=112 ID=32452 DF PROTO=TCP SPT=55136 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [20164.618874] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=91.79.8.40 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x20 TTL=110 ID=47784 DF PROTO=TCP SPT=2422 DPT=6881 WINDOW=65535 RES=0x00 SYN URGP=0 [20184.337745] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=83.252.212.71 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=107 ID=14544 PROTO=UDP SPT=6881 DPT=6881 LEN=28 [20205.007512] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=91.62.158.247 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=110 ID=21562 DF PROTO=TCP SPT=3933 DPT=6881 WINDOW=65535 RES=0x00 SYN URGP=0 [20225.204018] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=84.146.24.238 DST=192.168.1.6 LEN=52 TOS=0x00 PREC=0x00 TTL=113 ID=15045 DF PROTO=TCP SPT=49630 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [20244.842290] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=82.82.190.168 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=112 ID=23741 DF PROTO=TCP SPT=50766 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [20266.701649] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=88.153.108.124 DST=192.168.1.6 LEN=48 TOS=0x02 PREC=0x00 TTL=111 ID=206 DF PROTO=TCP SPT=2451 DPT=6881 WINDOW=65535 RES=0x00 SYN URGP=0 [20286.305414] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=78.240.86.73 DST=192.168.1.6 LEN=52 TOS=0x00 PREC=0x00 TTL=107 ID=325 DF PROTO=TCP SPT=65184 DPT=6881 WINDOW=8192 RES=0x00 SYN URGP=0 [20294.293989] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=192.168.1.254 DST=192.168.1.6 LEN=56 TOS=0x00 PREC=0x00 TTL=255 ID=43133 PROTO=ICMP TYPE=3 CODE=0 [SRC=192.168.1.6 DST=91.189.88.33 LEN=52 TOS=0x00 PREC=0x00 TTL=63 ID=56899 DF PROTO=TCP INCOMPLETE [8 bytes] ] [20294.297015] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=192.168.1.254 DST=192.168.1.6 LEN=56 TOS=0x00 PREC=0x00 TTL=255 ID=43134 PROTO=ICMP TYPE=3 CODE=0 [SRC=192.168.1.6 DST=91.189.88.40 LEN=52 TOS=0x00 PREC=0x00 TTL=63 ID=12080 DF PROTO=TCP INCOMPLETE [8 bytes] ] [20294.297242] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=192.168.1.254 DST=192.168.1.6 LEN=56 TOS=0x00 PREC=0x00 TTL=255 ID=43135 PROTO=ICMP TYPE=3 CODE=0 [SRC=192.168.1.6 DST=91.189.88.33 LEN=52 TOS=0x00 PREC=0x00 TTL=63 ID=25195 DF PROTO=TCP INCOMPLETE [8 bytes] ] [20295.478338] wlan0: deauthenticating from 00:24:c8:4b:46:e0 by local choice (reason=3) [20295.552735] cfg80211: All devices are disconnected, going to restore regulatory settings [20295.552742] cfg80211: Restoring regulatory settings [20295.552748] cfg80211: Calling CRDA to update world regulatory domain [20295.680635] cfg80211: Updating information on frequency 2412 MHz for a 20 MHz width channel with regulatory rule: [20295.680641] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680644] cfg80211: Updating information on frequency 2417 MHz for a 20 MHz width channel with regulatory rule: [20295.680648] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680652] cfg80211: Updating information on frequency 2422 MHz for a 20 MHz width channel with regulatory rule: [20295.680655] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680658] cfg80211: Updating information on frequency 2427 MHz for a 20 MHz width channel with regulatory rule: [20295.680662] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680665] cfg80211: Updating information on frequency 2432 MHz for a 20 MHz width channel with regulatory rule: [20295.680669] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680672] cfg80211: Updating information on frequency 2437 MHz for a 20 MHz width channel with regulatory rule: [20295.680676] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680679] cfg80211: Updating information on frequency 2442 MHz for a 20 MHz width channel with regulatory rule: [20295.680683] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680687] cfg80211: Updating information on frequency 2447 MHz for a 20 MHz width channel with regulatory rule: [20295.680690] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680693] cfg80211: Updating information on frequency 2452 MHz for a 20 MHz width channel with regulatory rule: [20295.680697] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680700] cfg80211: Updating information on frequency 2457 MHz for a 20 MHz width channel with regulatory rule: [20295.680704] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680708] cfg80211: Updating information on frequency 2462 MHz for a 20 MHz width channel with regulatory rule: [20295.680711] cfg80211: 2402000 KHz - 2472000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680715] cfg80211: Updating information on frequency 2467 MHz for a 20 MHz width channel with regulatory rule: [20295.680718] cfg80211: 2457000 KHz - 2482000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680722] cfg80211: Updating information on frequency 2472 MHz for a 20 MHz width channel with regulatory rule: [20295.680725] cfg80211: 2457000 KHz - 2482000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680728] cfg80211: Updating information on frequency 2484 MHz for a 20 MHz width channel with regulatory rule: [20295.680732] cfg80211: 2474000 KHz - 2494000 KHz @ KHz), (300 mBi, 2000 mBm) [20295.680736] cfg80211: World regulatory domain updated: [20295.680738] cfg80211: (start_freq - end_freq @ bandwidth), (max_antenna_gain, max_eirp) [20295.680742] cfg80211: (2402000 KHz - 2472000 KHz @ 40000 KHz), (300 mBi, 2000 mBm) [20295.680745] cfg80211: (2457000 KHz - 2482000 KHz @ 20000 KHz), (300 mBi, 2000 mBm) [20295.680749] cfg80211: (2474000 KHz - 2494000 KHz @ 20000 KHz), (300 mBi, 2000 mBm) [20295.680752] cfg80211: (5170000 KHz - 5250000 KHz @ 40000 KHz), (300 mBi, 2000 mBm) [20295.680756] cfg80211: (5735000 KHz - 5835000 KHz @ 40000 KHz), (300 mBi, 2000 mBm) [20306.009341] wlan0: authenticate with 00:24:c8:4b:46:e0 (try 1) [20306.011225] wlan0: authenticated [20306.118095] wlan0: associate with 00:24:c8:4b:46:e0 (try 1) [20306.120963] wlan0: RX AssocResp from 00:24:c8:4b:46:e0 (capab=0x411 status=0 aid=2) [20306.120967] wlan0: associated [20307.364427] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=87.91.101.130 DST=192.168.1.6 LEN=64 TOS=0x00 PREC=0x00 TTL=49 ID=36839 DF PROTO=TCP SPT=62492 DPT=6881 WINDOW=65535 RES=0x00 SYN URGP=0 [20310.914290] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=192.168.1.254 DST=192.168.1.6 LEN=56 TOS=0x00 PREC=0x00 TTL=255 ID=43180 PROTO=ICMP TYPE=3 CODE=0 [SRC=192.168.1.6 DST=91.189.88.33 LEN=52 TOS=0x00 PREC=0x00 TTL=63 ID=56900 DF PROTO=TCP INCOMPLETE [8 bytes] ] [20310.936634] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=192.168.1.254 DST=192.168.1.6 LEN=56 TOS=0x00 PREC=0x00 TTL=255 ID=43181 PROTO=ICMP TYPE=3 CODE=0 [SRC=192.168.1.6 DST=91.189.88.40 LEN=52 TOS=0x00 PREC=0x00 TTL=63 ID=12081 DF PROTO=TCP INCOMPLETE [8 bytes] ] [20310.939017] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=192.168.1.254 DST=192.168.1.6 LEN=56 TOS=0x00 PREC=0x00 TTL=255 ID=43182 PROTO=ICMP TYPE=3 CODE=0 [SRC=192.168.1.6 DST=91.189.88.33 LEN=52 TOS=0x00 PREC=0x00 TTL=63 ID=25196 DF PROTO=TCP INCOMPLETE [8 bytes] ] [20325.941050] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=217.118.78.99 DST=192.168.1.6 LEN=48 TOS=0x00 PREC=0x00 TTL=113 ID=4407 PROTO=UDP SPT=2970 DPT=6881 LEN=28 [20328.801724] [UFW BLOCK] IN=wlan0 OUT= MAC=00:c0:ca:44:62:d1:00:24:c8:4b:46:e0:08:00 SRC=192.168.1.254 DST=192.168.1.6 LEN=56 TOS=0x00 PREC=0x00 TTL=255 ID=43196 PROTO=ICMP TYPE=3 CODE=0 [SRC=192.168.1.6 DST=91.189.88.33 LEN=52 TOS=0x00 PREC=0x00 TTL=63 ID=56901 DF PROTO=TCP INCOMPLETE [8 bytes] ] ... inxi -N Network: Card-1 Realtek RTL8101E/RTL8102E PCI Express Fast Ethernet controller driver r8169 Card-2 Realtek RTL-8139/8139C/8139C+ driver 8139too /usr/lib/linuxmint/mintWifi/mintWifi.py ------------------------- * I. scanning WIFI PCI devices... ------------------------- * II. querying ndiswrapper... ------------------------- * III. querying iwconfig... lo no wireless extensions. eth0 no wireless extensions. eth1 no wireless extensions. wlan0 IEEE 802.11bg ESSID:"Home" Mode:Managed Frequency:2.437 GHz Access Point: 00:24:C8:4B:46:E0 Bit Rate=54 Mb/s Tx-Power=20 dBm Retry long limit:7 RTS thr:off Fragment thr:off Power Management:off Link Quality=68/70 Signal level=-42 dBm Rx invalid nwid:0 Rx invalid crypt:0 Rx invalid frag:0 Tx excessive retries:0 Invalid misc:1132 Missed beacon:0 ------------------------- * IV. querying ifconfig... eth0 Link encap:Ethernet HWaddr 00:1f:d0:c9:b8:8e UP BROADCAST MULTICAST MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:0 (0.0 B) TX bytes:0 (0.0 B) Interrupt:43 Base address:0x4000 eth1 Link encap:Ethernet HWaddr 00:0e:2e:77:88:16 UP BROADCAST MULTICAST MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:0 (0.0 B) TX bytes:0 (0.0 B) Interrupt:19 Base address:0xd000 lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:16436 Metric:1 RX packets:10696 errors:0 dropped:0 overruns:0 frame:0 TX packets:10696 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:3823011 (3.8 MB) TX bytes:3823011 (3.8 MB) wlan0 Link encap:Ethernet HWaddr 00:c0:ca:44:62:d1 inet addr:192.168.1.6 Bcast:255.255.255.255 Mask:255.255.255.0 inet6 addr: fe80::2c0:caff:fe44:62d1/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:90424 errors:0 dropped:0 overruns:0 frame:0 TX packets:65201 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:98024465 (98.0 MB) TX bytes:10345450 (10.3 MB) ------------------------- * V. querying DHCP... lspci 00:00.0 Host bridge: Intel Corporation 82G33/G31/P35/P31 Express DRAM Controller (rev 10) 00:01.0 PCI bridge: Intel Corporation 82G33/G31/P35/P31 Express PCI Express Root Port (rev 10) 00:1b.0 Audio device: Intel Corporation N10/ICH 7 Family High Definition Audio Controller (rev 01) 00:1c.0 PCI bridge: Intel Corporation N10/ICH 7 Family PCI Express Port 1 (rev 01) 00:1c.1 PCI bridge: Intel Corporation N10/ICH 7 Family PCI Express Port 2 (rev 01) 00:1d.0 USB Controller: Intel Corporation N10/ICH 7 Family USB UHCI Controller #1 (rev 01) 00:1d.1 USB Controller: Intel Corporation N10/ICH 7 Family USB UHCI Controller #2 (rev 01) 00:1d.2 USB Controller: Intel Corporation N10/ICH 7 Family USB UHCI Controller #3 (rev 01) 00:1d.3 USB Controller: Intel Corporation N10/ICH 7 Family USB UHCI Controller #4 (rev 01) 00:1d.7 USB Controller: Intel Corporation N10/ICH 7 Family USB2 EHCI Controller (rev 01) 00:1e.0 PCI bridge: Intel Corporation 82801 PCI Bridge (rev e1) 00:1f.0 ISA bridge: Intel Corporation 82801GB/GR (ICH7 Family) LPC Interface Bridge (rev 01) 00:1f.2 IDE interface: Intel Corporation N10/ICH7 Family SATA IDE Controller (rev 01) 00:1f.3 SMBus: Intel Corporation N10/ICH 7 Family SMBus Controller (rev 01) 01:00.0 VGA compatible controller: nVidia Corporation G96 [GeForce 9400 GT] (rev a1) 03:00.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL8101E/RTL8102E PCI Express Fast Ethernet controller (rev 02) 04:01.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL-8139/8139C/8139C+ (rev 10) lsmod Module Size Used by ipt_REJECT 12512 1 ipt_LOG 12784 5 xt_limit 12541 7 xt_tcpudp 12531 8 ipt_addrtype 12535 4 xt_state 12514 7 ip6table_filter 12711 1 ip6_tables 22545 1 ip6table_filter nf_nat_irc 12542 0 nf_conntrack_irc 13138 1 nf_nat_irc nf_nat_ftp 12548 0 nf_nat 24827 2 nf_nat_irc,nf_nat_ftp nf_conntrack_ipv4 19024 9 nf_nat nf_defrag_ipv4 12649 1 nf_conntrack_ipv4 nf_conntrack_ftp 13106 1 nf_nat_ftp nf_conntrack 69744 7 xt_state,nf_nat_irc,nf_conntrack_irc,nf_nat_ftp,nf_nat,nf_conntrack_ipv4,nf_conntrack_ftp iptable_filter 12706 1 ip_tables 18125 1 iptable_filter x_tables 21907 10 ipt_REJECT,ipt_LOG,xt_limit,xt_tcpudp,ipt_addrtype,xt_state,ip6table_filter,ip6_tables,iptable_filter,ip_tables nls_utf8 12493 10 udf 83795 1 crc_itu_t 12627 1 udf usb_storage 43946 1 uas 17676 0 snd_seq_dummy 12686 0 cryptd 19801 0 aes_i586 16956 1 aes_generic 38023 1 aes_i586 binfmt_misc 13213 1 dm_crypt 22463 0 vesafb 13449 1 nvidia 9766978 44 arc4 12473 2 rtl8187 56206 0 mac80211 257001 1 rtl8187 cfg80211 156212 2 rtl8187,mac80211 ppdev 12849 0 snd_hda_codec_realtek 255882 1 parport_pc 32111 1 psmouse 73312 0 eeprom_93cx6 12653 1 rtl8187 snd_hda_intel 24113 5 snd_hda_codec 90901 2 snd_hda_codec_realtek,snd_hda_intel snd_hwdep 13274 1 snd_hda_codec snd_pcm 80042 3 snd_hda_intel,snd_hda_codec snd_seq_midi 13132 0 snd_rawmidi 25269 1 snd_seq_midi snd_seq_midi_event 14475 1 snd_seq_midi snd_seq 51291 3 snd_seq_dummy,snd_seq_midi,snd_seq_midi_event snd_timer 28659 2 snd_pcm,snd_seq snd_seq_device 14110 4 snd_seq_dummy,snd_seq_midi,snd_rawmidi,snd_seq joydev 17322 0 snd 55295 18 snd_hda_codec_realtek,snd_hda_intel,snd_hda_codec,snd_hwdep,snd_pcm,snd_rawmidi,snd_seq,snd_timer,snd_seq_device serio_raw 12990 0 soundcore 12600 1 snd snd_page_alloc 14073 2 snd_hda_intel,snd_pcm lp 13349 0 parport 36746 3 ppdev,parport_pc,lp usbhid 41704 0 hid 77084 1 usbhid dm_raid45 88410 0 xor 21860 1 dm_raid45 btrfs 527388 0 zlib_deflate 26594 1 btrfs libcrc32c 12543 1 btrfs 8139too 23208 0 8139cp 22497 0 r8169 42534 0 floppy 60032 0

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  • Dumping an ADODB recordset to XML, then back to a recordset, then saving to the db

    - by Mark Biek
    I've created an XML file using the .Save() method of an ADODB recordset in the following manner. dim res dim objXML: Set objXML = Server.CreateObject("MSXML2.DOMDocument") 'This returns an ADODB recordset set res = ExecuteReader("SELECT * from some_table) With res Call .Save(objXML, 1) Call .Close() End With Set res = nothing Let's assume that the XML generated above then gets saved to a file. I'm able to read the XML back into a recordset like this: dim res : set res = Server.CreateObject("ADODB.recordset") res.open server.mappath("/admin/tbl_some_table.xml") And I can loop over the records without any problem. However what I really want to do is save all of the data in res to a table in a completely different database. We can assume that some_table already exists in this other database and has the exact same structure as the table I originally queried to make the XML. I started by creating a new recordset and using AddNew to add all of the rows from res to the new recordset dim outRes : set outRes = Server.CreateObject("ADODB.recordset") dim outConn : set outConn = Server.CreateObject("ADODB.Connection") dim testConnStr : testConnStr = "DRIVER={SQL Server};SERVER=dev-windows\sql2000;UID=myuser;PWD=mypass;DATABASE=Testing" outConn.open testConnStr outRes.activeconnection = outConn outRes.cursortype = adOpenDynamic outRes.locktype = adLockOptimistic outRes.source = "product_accessories" outRes.open while not res.eof outRes.addnew for i=0 to res.fields.count-1 outRes(res.fields(i).name) = res(res.fields(i).name) next outRes.movefirst res.movenext wend outRes.updatebatch But this bombs the first time I try to assign the value from res to outRes. Microsoft OLE DB Provider for ODBC Drivers error '80040e21' Multiple-step OLE DB operation generated errors. Check each OLE DB status value, if available. No work was done. Can someone tell me what I'm doing wrong or suggest a better way for me to copy the data loaded from XML to a different database?

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  • Node.js Adventure - Host Node.js on Windows Azure Worker Role

    - by Shaun
    In my previous post I demonstrated about how to develop and deploy a Node.js application on Windows Azure Web Site (a.k.a. WAWS). WAWS is a new feature in Windows Azure platform. Since it’s low-cost, and it provides IIS and IISNode components so that we can host our Node.js application though Git, FTP and WebMatrix without any configuration and component installation. But sometimes we need to use the Windows Azure Cloud Service (a.k.a. WACS) and host our Node.js on worker role. Below are some benefits of using worker role. - WAWS leverages IIS and IISNode to host Node.js application, which runs in x86 WOW mode. It reduces the performance comparing with x64 in some cases. - WACS worker role does not need IIS, hence there’s no restriction of IIS, such as 8000 concurrent requests limitation. - WACS provides more flexibility and controls to the developers. For example, we can RDP to the virtual machines of our worker role instances. - WACS provides the service configuration features which can be changed when the role is running. - WACS provides more scaling capability than WAWS. In WAWS we can have at most 3 reserved instances per web site while in WACS we can have up to 20 instances in a subscription. - Since when using WACS worker role we starts the node by ourselves in a process, we can control the input, output and error stream. We can also control the version of Node.js.   Run Node.js in Worker Role Node.js can be started by just having its execution file. This means in Windows Azure, we can have a worker role with the “node.exe” and the Node.js source files, then start it in Run method of the worker role entry class. Let’s create a new windows azure project in Visual Studio and add a new worker role. Since we need our worker role execute the “node.exe” with our application code we need to add the “node.exe” into our project. Right click on the worker role project and add an existing item. By default the Node.js will be installed in the “Program Files\nodejs” folder so we can navigate there and add the “node.exe”. Then we need to create the entry code of Node.js. In WAWS the entry file must be named “server.js”, which is because it’s hosted by IIS and IISNode and IISNode only accept “server.js”. But here as we control everything we can choose any files as the entry code. For example, I created a new JavaScript file named “index.js” in project root. Since we created a C# Windows Azure project we cannot create a JavaScript file from the context menu “Add new item”. We have to create a text file, and then rename it to JavaScript extension. After we added these two files we should set their “Copy to Output Directory” property to “Copy Always”, or “Copy if Newer”. Otherwise they will not be involved in the package when deployed. Let’s paste a very simple Node.js code in the “index.js” as below. As you can see I created a web server listening at port 12345. 1: var http = require("http"); 2: var port = 12345; 3:  4: http.createServer(function (req, res) { 5: res.writeHead(200, { "Content-Type": "text/plain" }); 6: res.end("Hello World\n"); 7: }).listen(port); 8:  9: console.log("Server running at port %d", port); Then we need to start “node.exe” with this file when our worker role was started. This can be done in its Run method. I found the Node.js and entry JavaScript file name, and then create a new process to run it. Our worker role will wait for the process to be exited. If everything is OK once our web server was opened the process will be there listening for incoming requests, and should not be terminated. The code in worker role would be like this. 1: public override void Run() 2: { 3: // This is a sample worker implementation. Replace with your logic. 4: Trace.WriteLine("NodejsHost entry point called", "Information"); 5:  6: // retrieve the node.exe and entry node.js source code file name. 7: var node = Environment.ExpandEnvironmentVariables(@"%RoleRoot%\approot\node.exe"); 8: var js = "index.js"; 9:  10: // prepare the process starting of node.exe 11: var info = new ProcessStartInfo(node, js) 12: { 13: CreateNoWindow = false, 14: ErrorDialog = true, 15: WindowStyle = ProcessWindowStyle.Normal, 16: UseShellExecute = false, 17: WorkingDirectory = Environment.ExpandEnvironmentVariables(@"%RoleRoot%\approot") 18: }; 19: Trace.WriteLine(string.Format("{0} {1}", node, js), "Information"); 20:  21: // start the node.exe with entry code and wait for exit 22: var process = Process.Start(info); 23: process.WaitForExit(); 24: } Then we can run it locally. In the computer emulator UI the worker role started and it executed the Node.js, then Node.js windows appeared. Open the browser to verify the website hosted by our worker role. Next let’s deploy it to azure. But we need some additional steps. First, we need to create an input endpoint. By default there’s no endpoint defined in a worker role. So we will open the role property window in Visual Studio, create a new input TCP endpoint to the port we want our website to use. In this case I will use 80. Even though we created a web server we should add a TCP endpoint of the worker role, since Node.js always listen on TCP instead of HTTP. And then changed the “index.js”, let our web server listen on 80. 1: var http = require("http"); 2: var port = 80; 3:  4: http.createServer(function (req, res) { 5: res.writeHead(200, { "Content-Type": "text/plain" }); 6: res.end("Hello World\n"); 7: }).listen(port); 8:  9: console.log("Server running at port %d", port); Then publish it to Windows Azure. And then in browser we can see our Node.js website was running on WACS worker role. We may encounter an error if we tried to run our Node.js website on 80 port at local emulator. This is because the compute emulator registered 80 and map the 80 endpoint to 81. But our Node.js cannot detect this operation. So when it tried to listen on 80 it will failed since 80 have been used.   Use NPM Modules When we are using WAWS to host Node.js, we can simply install modules we need, and then just publish or upload all files to WAWS. But if we are using WACS worker role, we have to do some extra steps to make the modules work. Assuming that we plan to use “express” in our application. Firstly of all we should download and install this module through NPM command. But after the install finished, they are just in the disk but not included in the worker role project. If we deploy the worker role right now the module will not be packaged and uploaded to azure. Hence we need to add them to the project. On solution explorer window click the “Show all files” button, select the “node_modules” folder and in the context menu select “Include In Project”. But that not enough. We also need to make all files in this module to “Copy always” or “Copy if newer”, so that they can be uploaded to azure with the “node.exe” and “index.js”. This is painful step since there might be many files in a module. So I created a small tool which can update a C# project file, make its all items as “Copy always”. The code is very simple. 1: static void Main(string[] args) 2: { 3: if (args.Length < 1) 4: { 5: Console.WriteLine("Usage: copyallalways [project file]"); 6: return; 7: } 8:  9: var proj = args[0]; 10: File.Copy(proj, string.Format("{0}.bak", proj)); 11:  12: var xml = new XmlDocument(); 13: xml.Load(proj); 14: var nsManager = new XmlNamespaceManager(xml.NameTable); 15: nsManager.AddNamespace("pf", "http://schemas.microsoft.com/developer/msbuild/2003"); 16:  17: // add the output setting to copy always 18: var contentNodes = xml.SelectNodes("//pf:Project/pf:ItemGroup/pf:Content", nsManager); 19: UpdateNodes(contentNodes, xml, nsManager); 20: var noneNodes = xml.SelectNodes("//pf:Project/pf:ItemGroup/pf:None", nsManager); 21: UpdateNodes(noneNodes, xml, nsManager); 22: xml.Save(proj); 23:  24: // remove the namespace attributes 25: var content = xml.InnerXml.Replace("<CopyToOutputDirectory xmlns=\"\">", "<CopyToOutputDirectory>"); 26: xml.LoadXml(content); 27: xml.Save(proj); 28: } 29:  30: static void UpdateNodes(XmlNodeList nodes, XmlDocument xml, XmlNamespaceManager nsManager) 31: { 32: foreach (XmlNode node in nodes) 33: { 34: var copyToOutputDirectoryNode = node.SelectSingleNode("pf:CopyToOutputDirectory", nsManager); 35: if (copyToOutputDirectoryNode == null) 36: { 37: var n = xml.CreateNode(XmlNodeType.Element, "CopyToOutputDirectory", null); 38: n.InnerText = "Always"; 39: node.AppendChild(n); 40: } 41: else 42: { 43: if (string.Compare(copyToOutputDirectoryNode.InnerText, "Always", true) != 0) 44: { 45: copyToOutputDirectoryNode.InnerText = "Always"; 46: } 47: } 48: } 49: } Please be careful when use this tool. I created only for demo so do not use it directly in a production environment. Unload the worker role project, execute this tool with the worker role project file name as the command line argument, it will set all items as “Copy always”. Then reload this worker role project. Now let’s change the “index.js” to use express. 1: var express = require("express"); 2: var app = express(); 3:  4: var port = 80; 5:  6: app.configure(function () { 7: }); 8:  9: app.get("/", function (req, res) { 10: res.send("Hello Node.js!"); 11: }); 12:  13: app.get("/User/:id", function (req, res) { 14: var id = req.params.id; 15: res.json({ 16: "id": id, 17: "name": "user " + id, 18: "company": "IGT" 19: }); 20: }); 21:  22: app.listen(port); Finally let’s publish it and have a look in browser.   Use Windows Azure SQL Database We can use Windows Azure SQL Database (a.k.a. WACD) from Node.js as well on worker role hosting. Since we can control the version of Node.js, here we can use x64 version of “node-sqlserver” now. This is better than if we host Node.js on WAWS since it only support x86. Just install the “node-sqlserver” module from NPM, copy the “sqlserver.node” from “Build\Release” folder to “Lib” folder. Include them in worker role project and run my tool to make them to “Copy always”. Finally update the “index.js” to use WASD. 1: var express = require("express"); 2: var sql = require("node-sqlserver"); 3:  4: var connectionString = "Driver={SQL Server Native Client 10.0};Server=tcp:{SERVER NAME}.database.windows.net,1433;Database={DATABASE NAME};Uid={LOGIN}@{SERVER NAME};Pwd={PASSWORD};Encrypt=yes;Connection Timeout=30;"; 5: var port = 80; 6:  7: var app = express(); 8:  9: app.configure(function () { 10: app.use(express.bodyParser()); 11: }); 12:  13: app.get("/", function (req, res) { 14: sql.open(connectionString, function (err, conn) { 15: if (err) { 16: console.log(err); 17: res.send(500, "Cannot open connection."); 18: } 19: else { 20: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 21: if (err) { 22: console.log(err); 23: res.send(500, "Cannot retrieve records."); 24: } 25: else { 26: res.json(results); 27: } 28: }); 29: } 30: }); 31: }); 32:  33: app.get("/text/:key/:culture", function (req, res) { 34: sql.open(connectionString, function (err, conn) { 35: if (err) { 36: console.log(err); 37: res.send(500, "Cannot open connection."); 38: } 39: else { 40: var key = req.params.key; 41: var culture = req.params.culture; 42: var command = "SELECT * FROM [Resource] WHERE [Key] = '" + key + "' AND [Culture] = '" + culture + "'"; 43: conn.queryRaw(command, function (err, results) { 44: if (err) { 45: console.log(err); 46: res.send(500, "Cannot retrieve records."); 47: } 48: else { 49: res.json(results); 50: } 51: }); 52: } 53: }); 54: }); 55:  56: app.get("/sproc/:key/:culture", function (req, res) { 57: sql.open(connectionString, function (err, conn) { 58: if (err) { 59: console.log(err); 60: res.send(500, "Cannot open connection."); 61: } 62: else { 63: var key = req.params.key; 64: var culture = req.params.culture; 65: var command = "EXEC GetItem '" + key + "', '" + culture + "'"; 66: conn.queryRaw(command, function (err, results) { 67: if (err) { 68: console.log(err); 69: res.send(500, "Cannot retrieve records."); 70: } 71: else { 72: res.json(results); 73: } 74: }); 75: } 76: }); 77: }); 78:  79: app.post("/new", function (req, res) { 80: var key = req.body.key; 81: var culture = req.body.culture; 82: var val = req.body.val; 83:  84: sql.open(connectionString, function (err, conn) { 85: if (err) { 86: console.log(err); 87: res.send(500, "Cannot open connection."); 88: } 89: else { 90: var command = "INSERT INTO [Resource] VALUES ('" + key + "', '" + culture + "', N'" + val + "')"; 91: conn.queryRaw(command, function (err, results) { 92: if (err) { 93: console.log(err); 94: res.send(500, "Cannot retrieve records."); 95: } 96: else { 97: res.send(200, "Inserted Successful"); 98: } 99: }); 100: } 101: }); 102: }); 103:  104: app.listen(port); Publish to azure and now we can see our Node.js is working with WASD through x64 version “node-sqlserver”.   Summary In this post I demonstrated how to host our Node.js in Windows Azure Cloud Service worker role. By using worker role we can control the version of Node.js, as well as the entry code. And it’s possible to do some pre jobs before the Node.js application started. It also removed the IIS and IISNode limitation. I personally recommended to use worker role as our Node.js hosting. But there are some problem if you use the approach I mentioned here. The first one is, we need to set all JavaScript files and module files as “Copy always” or “Copy if newer” manually. The second one is, in this way we cannot retrieve the cloud service configuration information. For example, we defined the endpoint in worker role property but we also specified the listening port in Node.js hardcoded. It should be changed that our Node.js can retrieve the endpoint. But I can tell you it won’t be working here. In the next post I will describe another way to execute the “node.exe” and Node.js application, so that we can get the cloud service configuration in Node.js. I will also demonstrate how to use Windows Azure Storage from Node.js by using the Windows Azure Node.js SDK.   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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  • MySQL subquery and bracketing

    - by text
    Here are my tables respondents: field sample value respondentid : 1 age : 2 gender : male survey_questions: id : 1 question : Q1 answer : sample answer answers: respondentid : 1 question : Q1 answer : 1 --id of survey question I want to display all respondents who answered the certain survey, display all answers and total all the answer and group them according to the age bracket. I tried using this query: SELECT res.Age, res.Gender, answer.id, answer.respondentid, SUM(CASE WHEN res.Gender='Male' THEN 1 else 0 END) AS males, SUM(CASE WHEN res.Gender='Female' THEN 1 else 0 END) AS females, CASE WHEN res.Age < 1 THEN 'age1' WHEN res.Age BETWEEN 1 AND 4 THEN 'age2' WHEN res.Age BETWEEN 4 AND 9 THEN 'age3' WHEN res.Age BETWEEN 10 AND 14 THEN 'age4' WHEN res.Age BETWEEN 15 AND 19 THEN 'age5' WHEN res.Age BETWEEN 20 AND 29 THEN 'age6' WHEN res.Age BETWEEN 30 AND 39 THEN 'age7' WHEN res.Age BETWEEN 40 AND 49 THEN 'age8' ELSE 'age9' END AS ageband FROM Respondents AS res INNER JOIN Answers as answer ON answer.respondentid=res.respondentid INNER JOIN Questions as question ON answer.Answer=question.id WHERE answer.Question='Q1' GROUP BY ageband ORDER BY res.Age ASC I was able to get the data but the listing of all answers are not present. Do I have to subquery SELECT into my current SELECT statement to show the answers? I want to produce something like this: ex: # of Respondents is 3 ages: 2,3 and 6 Question: what are your favorite subjects? Ages 1-4: subject 1: 1 subject 2: 2 subject 3: 2 total respondents for ages 1-4 : 2 Ages 5-10: subject 1: 1 subject 2: 1 subject 3: 0 total respondents for ages 5-10 : 1

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  • How grouping and totaling are done into three tables using JOIN

    - by text
    Here are my tables respondents: field sample value respondentid : 1 age : 2 gender : male survey_questions: id : 1 question : Q1 answer : sample answer answers: respondentid : 1 question : Q1 answer : 1 --id of survey question I want to display all respondents who answered the certain survey, display all answers and total all the answer and group them according to the age bracket. I tried using this query: $sql = "SELECT res.Age, res.Gender, answer.id, answer.respondentid, SUM(CASE WHEN res.Gender='Male' THEN 1 else 0 END) AS males, SUM(CASE WHEN res.Gender='Female' THEN 1 else 0 END) AS females, CASE WHEN res.Age < 1 THEN 'age1' WHEN res.Age BETWEEN 1 AND 4 THEN 'age2' WHEN res.Age BETWEEN 4 AND 9 THEN 'age3' WHEN res.Age BETWEEN 10 AND 14 THEN 'age4' WHEN res.Age BETWEEN 15 AND 19 THEN 'age5' WHEN res.Age BETWEEN 20 AND 29 THEN 'age6' WHEN res.Age BETWEEN 30 AND 39 THEN 'age7' WHEN res.Age BETWEEN 40 AND 49 THEN 'age8' ELSE 'age9' END AS ageband FROM Respondents AS res INNER JOIN Answers as answer ON answer.respondentid=res.respondentid INNER JOIN Questions as question ON answer.Answer=question.id WHERE answer.Question='Q1' GROUP BY ageband ORDER BY res.Age ASC"; I was able to get the data but the listing of all answers are not present. What's wrong with my query. I want to produce something like this: ex: # of Respondents is 3 ages: 2,3 and 6 Question: what are your favorite subjects? Ages 1-4: subject 1: 1 subject 2: 2 subject 3: 2 total respondents for ages 1-4 : 2 Ages 5-10: subject 1: 1 subject 2: 1 subject 3: 0 total respondents for ages 5-10 : 1

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  • ExpressJS: What is the difference between app.local and res.local?

    - by aeyang
    I'm trying to learn Express and in my app I have middleware that passes the session object from the Request object to my Response object so that I can access it in my views: app.use((req, res, next) -> res.locals.session = req.session next() ) But app.locals is available to the view as well right? So is it the same if I do app.locals.session = req.session? Is there a convention for the types of things app.locals and res.locals are used for? I was also confused on what the difference is between res.render() and res.redirect()? When should each be used? Thanks for reading. Any help related to Express is appreciated!

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  • One email user keeps disconnecting from our exchange server

    - by Funky Si
    I have one user who keeps reporting that Outlook keeps disconnecting from our email server. All other users are fine. Our email server is running Exchange 2010 and the client is running Outlook 2003. The disconnection only lasts a moment. I have checked for logs on the client and Exchange server and can not see any reason for the disconnect, On the Client I get EventId 26 telling me Outlook has disconnected and reconnected but no reason why. Can anyone give me some suggestions of things to try and track down where the problem could be? --Update-- I have found the following log file C:\Program Files\Microsoft\Exchange Server\V14\Logging\RPC Client Access which suggests that it is a problem with RPC sessions. Excerpt is below 2013-01-31T15:21:24.015Z,6413,15,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,,0,00:00:00,"BS=Conn:24,HangingConn:0,AD:$null/$null/0%,CAS:$null/$null/2%,AB:$null/$null/0%,RPC:$null/$null/1%,FC:$null/0,Policy:ClientThrottlingPolicy2,Norm[Resources:(Mdb)Mailbox Database 0765959540(Health:-1%,HistLoad:0),(Mdb)Public Folder Database 1945427388(Health:-1%,HistLoad:0),];GC:6/1/0;", 2013-01-31T15:21:24.015Z,6413,16,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,PublicLogoff,0,00:00:00,LogonId: 1, 2013-01-31T15:21:24.015Z,6413,16,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,,,00:00:00,"BS=Conn:24,HangingConn:0,AD:$null/$null/0%,CAS:$null/$null/2%,AB:$null/$null/0%,RPC:$null/$null/1%,FC:$null/0,Policy:ClientThrottlingPolicy2,Norm[Resources:(Mdb)Mailbox Database 0765959540(Health:-1%,HistLoad:0),(Mdb)Public Folder Database 1945427388(Health:-1%,HistLoad:0),];GC:6/1/0;", 2013-01-31T15:21:24.015Z,6417,5,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,OwnerLogoff,0,00:00:00,LogonId: 0, 2013-01-31T15:21:24.015Z,6417,5,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,,0x6BA (rpc::Exception),00:02:54.7668000,Budget Highs [AD = 0][CAS = 3][RPC = 1] Session Throttled Count = 0; SessionDropped,"RpcEndPoint: [ServerUnavailableException] Connection must be re-established - [SessionDeadException] Connection doesn't have any open logons, but has client activity. This may be masking synchronization stalls. Dropping a connection." 2013-01-31T15:21:24.015Z,6420,7,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,DelegateLogoff,0,00:00:00,LogonId: 0, 2013-01-31T15:21:24.031Z,6420,7,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,,,00:00:00.0156000,Budget Highs [AD = 0][CAS = 3][RPC = 1] Session Throttled Count = 0, 2013-01-31T15:21:24.031Z,6420,7,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,Disconnect,0,00:02:54.2364000,, 2013-01-31T15:21:24.031Z,6419,5,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,OwnerLogoff,0,00:00:00,LogonId: 0, 2013-01-31T15:21:24.031Z,6419,5,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,,,00:00:00,Budget Highs [AD = 0][CAS = 3][RPC = 1] Session Throttled Count = 0, 2013-01-31T15:21:24.031Z,6419,5,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,Disconnect,0,00:02:54.4392000,, 2013-01-31T15:21:24.031Z,6416,7,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,DelegateLogoff,0,00:00:00,LogonId: 0, 2013-01-31T15:21:24.031Z,6416,7,/o=EUROSAFEUK/ou=first administrative group/cn=Recipients/cn=andy,,OUTLOOK.EXE,11.0.8303.0,Classic,,,ncacn_ip_tcp,,,,00:00:00,Budget Highs [AD = 0][CAS = 3][RPC = 1] Session Throttled Count = 0, Can anyone help point me in the right direction for a solution?

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  • High-res icon in Windows Vista alt-tab thumbnail preview?

    - by netvope
    I have customized my alt-tab screen with the following: [HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Explorer\AltTab] "OverlayIconPx"=dword:00000040 "MaxThumbSizePx"=dword:00000100 "MinThumbSizePcent"=dword:00000064 It works great: the thumbnail becomes 256 pixel wide and the icon at the corner of the thumbnail becomes 64x64 pixels. However, Windows doesn't load the high-res icons from the programs; instead, it uses the 16x16 pixel icon and scaled it up by nearest-neighbor. I'm sure the programs has high-res icons because I saw them with in "Extra Large Icon" view in Explorer. So the question is: How can I force Windows to load the high-res icons for the alt-tab thumbnail preview? (Perhaps a registry key, or a .dll hack/injection?)

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  • Errors with parameter datatype in PostgreSql query

    - by John
    Im trying to execute a query to postgresql using the following code. It's written in C/C++ and I keep getting the following error when declaring a cursor: DECLARE CURSOR failed: ERROR: could not determine data type of parameter $1 Searching on here and on google, I can't find a solution. Can anyone find where I have made and error and why this is happening? thanks! void searchdb( PGconn *conn, char* name, char* offset ) { // Will hold the number of field in table int nFields; // Start a transaction block PGresult *res = PQexec(conn, "BEGIN"); if (PQresultStatus(res) != PGRES_COMMAND_OK) { printf("BEGIN command failed: %s", PQerrorMessage(conn)); PQclear(res); exit_nicely(conn); } // Clear result PQclear(res); printf("BEGIN command - OK\n"); //set the values to use const char *values[3] = {(char*)name, (char*)RESULTS_LIMIT, (char*)offset}; //calculate the lengths of each of the values int lengths[3] = {strlen((char*)name), sizeof(RESULTS_LIMIT), sizeof(offset)}; //state which parameters are binary int binary[3] = {0, 0, 1}; res = PQexecParams(conn, "DECLARE emprec CURSOR for SELECT name, id, 'Events' as source FROM events_basic WHERE name LIKE '$1::varchar%' UNION ALL " " SELECT name, fsq_id, 'Venues' as source FROM venues_cache WHERE name LIKE '$1::varchar%' UNION ALL " " SELECT name, geo_id, 'Cities' as source FROM static_cities WHERE name LIKE '$1::varchar%' OR FIND_IN_SET('$1::varchar%', alternate_names) != 0 LIMIT $2::int4 OFFSET $3::int4", 3, //number of parameters NULL, //ignore the Oid field values, //values to substitute $1 and $2 lengths, //the lengths, in bytes, of each of the parameter values binary, //whether the values are binary or not 0); //we want the result in text format // Fetch rows from table if (PQresultStatus(res) != PGRES_COMMAND_OK) { printf("DECLARE CURSOR failed: %s", PQerrorMessage(conn)); PQclear(res); exit_nicely(conn); } // Clear result PQclear(res); res = PQexec(conn, "FETCH ALL in emprec"); if (PQresultStatus(res) != PGRES_TUPLES_OK) { printf("FETCH ALL failed"); PQclear(res); exit_nicely(conn); } // Get the field name nFields = PQnfields(res); // Prepare the header with table field name printf("\nFetch record:"); printf("\n********************************************************************\n"); for (int i = 0; i < nFields; i++) printf("%-30s", PQfname(res, i)); printf("\n********************************************************************\n"); // Next, print out the record for each row for (int i = 0; i < PQntuples(res); i++) { for (int j = 0; j < nFields; j++) printf("%-30s", PQgetvalue(res, i, j)); printf("\n"); } PQclear(res); // Close the emprec res = PQexec(conn, "CLOSE emprec"); PQclear(res); // End the transaction res = PQexec(conn, "END"); // Clear result PQclear(res); }

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  • Use SECEDIT to export "Security Options" from one computer and import on another

    - by Andy Arismendi
    Can I use secedit.exe to export out the "Security Options" from the local security policy and then import them on another machine? I'm trying to do this on Windows Server 2008. Update I just tried with: secedit /export /db C:\andy.db /cfg C:\andy.inf /areas SECURITYPOLICY /log C:\andy.log But it didn't work with error: Warning 2: The system cannot find the file specified. Error opening C:\andy.db. Where do I get the DB file from?

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  • Picking a suitable resolution for a modern low-res game?

    - by MrKatSwordfish
    I'm working on a 2D game project right now (using SFML+OpenGL and C++) and I'm trying to figure out how to go about choosing a resolution. I want my game to have a pixel resolution that is around that of classic '16bit' era consoles like the Super Nintendo or Neo Geo. However, I'd also like to have my game fit the 16:9 aspect ratio that most modern PC monitors use. Finally I'd like to be able to include an option for running full screen. I know that I could create my own low-res 16:9 resolution that is more-or-less around the size of SNES or NeoGeo games. However, the problem seems to be that doing so would leave me with a non-standard resolution that my monitor would not be able to support in fullscreen mode. For example, if i divide the common 16:9 resolution 1920x1080 by 4, I would get a 16:9 resolution that is relatively close to the resolution used by 16bit era games; 480x270. That would be fine in a windowed mode, but I don't think that it would be supported in fullscreen mode. How can I choose a resolution that suits my needs? Can I use something like 480x270? If so, how would I go about getting fullscreen mode to work with such a non-standard resolution? (I'm guessing OpenGL/SFML might have a way of up-scaling...but..)

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  • Interesting SQL Sorting Issue

    - by rofly
    It's crunch time, deadline for my most recent contract is coming in two days and almost everything is complete and working fine (knock on wood) except for one issue. In one of my stored procedures, I'm needing to return a result set as follows. group_id | name A101 | Craig A102 | Craig Z101 | Craig Z102 | Craig A101 | Jim A102 | Jim Z101 | Jim Z102 | Jim B101 | Andy B102 | Andy Z101 | Andy Z102 | Andy The names need to be sorted by the first character of the group id and also include the Z101/Z102 entries. By sorting strictly by the group id, I get a result set as follows: A101 | Craig A102 | Craig A101 | Jim A102 | Jim B101 | Andy B102 | Andy Z101 | Andy Z102 | Andy Z101 | Jim Z102 | Jim I really can't think of a solution that doesn't involve me making a cursor and bloating the stored procedure up more than it already is. I'm sure a great mind out there has an elegant solution and I'm eager to see what the community can come up with. Thanks a ton in advance.

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  • How to write rule for ICU genrb and pkgdata for boost-build?

    - by sandy
    jamroot.jam rule genrb ( sources + : requirements * ) # create *.res files in binary directory { local result ; for local r in $(sources) { res $(r:B) : $(r) ; } } res.jam type.register RES : res ; type.register TXT : txt ; generators.register-standard res.resource : TXT : RES ; actions resource { $(icu_home)\bin64\genrb "-d$(<:D)" "$()" } I need to run pkgdata with parameters: pkgdata [-options] [-] [packageFile] packageFile is a text file containing the list of res-files to package.

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  • T-SQL Right Joins to ALL Entries inc Selected Column

    - by Pace
    Hi Experts, I have the following Query which produces the output below; SELECT TBLUSERS.USERID, TBLUSERS.ADusername, TBLACCESSLEVELS.ACCESSLEVELID, TBLACCESSLEVELS.AccessLevelName FROM TBLACCESSLEVELS INNER JOIN TBLACCESSRIGHTS ON TBLACCESSLEVELS.ACCESSLEVELID = TBLACCESSRIGHTS.ACCESSLEVELID INNER JOIN TBLUSERS ON TBLACCESSRIGHTS.USERID = TBLUSERS.USERID The output is this; 29 administrator 1 AllUsers 29 administrator 2 JobQueue 29 administrator 3 Telephone Directory Admin 29 administrator 4 Jobqueueadmin 29 administrator 5 UserAdmin 29 administrator 6 Product System 27 alan 1 AllUsers 97 andy 1 AllUsers 26 barry 1 AllUsers 26 barry 2 JobQueue 26 barry 3 Telephone Directory Admin 26 barry 4 Jobqueueadmin 26 barry 5 UserAdmin 26 barry 6 Product System 26 barry 7 Newseditor 26 barry 8 GreetingBoard What I would like to do is modify the query so I get all Access Levels regardless of weather there is an entry for that user. What I would also like to do is some sort of exist case so that I get output like the following; 29 administrator 1 AllUsers True 29 administrator 2 JobQueue True 29 administrator 3 Telephone Directory Admin True 29 administrator 4 Jobqueueadmin True 29 administrator 5 UserAdmin True 29 administrator 6 Product System True 29 administrator 7 Newseditor False 29 administrator 8 GreetingBoard False 27 alan 1 AllUsers True 27 alan 2 JobQueue False 27 alan 3 Telephone Directory Admin False 27 alan 4 Jobqueueadmin False 27 alan 5 UserAdmin False 27 alan 6 Product System False 27 alan 7 Newseditor False 27 alan 8 GreetingBoard False 97 andy 1 AllUsers True 97 andy 2 JobQueue False 97 andy 3 Telephone Directory Admin False 97 andy 4 Jobqueueadmin False 97 andy 5 UserAdmin False 97 andy 6 Product System False 97 andy 7 Newseditor False 97 andy 8 GreetingBoard False 26 Barry 1 AllUsers True 26 Barry 2 JobQueue True 26 Barry 3 Telephone Directory Admin True 26 Barry 4 Jobqueueadmin True 26 Barry 5 UserAdmin True 26 Barry 6 Product System True 26 Barry 7 Newseditor True 26 Barry 8 GreetingBoard True ......................................... So the rules are ALWAYS show ALL Entries for ACCESSLEVELS and where EXISTS in ACCESSRIGHTS produce a true / false to show this. I hope this makes sense and hopefully you dont need the table definitions as everything I need to work with is in the original Query. I just need a way of manipulating it slightly and getting the join in the right place. Thank you. Pace

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  • android sdk main.out.xml parsing error?

    - by mobibob
    I just started a new Android project, "WeekendStudy" to continue learning Android development and I got stumped compiling the default 'hello weekendstudy' compile / run. I think that I missed a step in configuration and setup, but I am at a loss to find out where. I have an AVD configured, set and launched. When I press 'run', the SDK is building a file main.out.xml and then fails as this: [2010-03-06 09:46:47 - WeekendStudy]Error in an XML file: aborting build. [2010-03-06 09:46:48 - WeekendStudy]res/layout/main.xml:0: error: Resource entry main is already defined. [2010-03-06 09:46:48 - WeekendStudy]res/layout/main.out.xml:0: Originally defined here. [2010-03-06 09:46:48 - WeekendStudy]/Users/mobibob/Projects/workspace-weekend/WeekendStudy/res/layout/main.out.xml:1: error: Error parsing XML: no element found [2010-03-06 09:48:16 - WeekendStudy]Error in an XML file: aborting build. [2010-03-06 09:48:16 - WeekendStudy]res/layout/main.xml:0: error: Resource entry main is already defined. [2010-03-06 09:48:16 - WeekendStudy]res/layout/main.out.xml:0: Originally defined here. [2010-03-06 09:48:16 - WeekendStudy]/Users/mobibob/Projects/workspace-weekend/WeekendStudy/res/layout/main.out.xml:1: error: Error parsing XML: no element found [2010-03-06 09:55:29 - WeekendStudy]res/layout/main.xml:0: error: Resource entry main is already defined. [2010-03-06 09:55:29 - WeekendStudy]res/layout/main.out.xml:0: Originally defined here. [2010-03-06 09:55:29 - WeekendStudy]/Users/mobibob/Projects/workspace-weekend/WeekendStudy/res/layout/main.out.xml:1: error: Error parsing XML: no element found [2010-03-06 09:55:49 - WeekendStudy]Error in an XML file: aborting build. [2010-03-06 09:55:49 - WeekendStudy]res/layout/main.xml:0: error: Resource entry main is already defined. [2010-03-06 09:55:49 - WeekendStudy]res/layout/main.out.xml:0: Originally defined here. [2010-03-06 09:55:49 - WeekendStudy]/Users/mobibob/Projects/workspace-weekend/WeekendStudy/res/layout/main.out.xml:1: error: Error parsing XML: no element found

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  • resource-ref at application scope in EJB 2.1 Project

    - by Mike Deck
    Is it possible to define resource references that are applicable to all EJBs in an application? Currently I have an ejb-jar.xml that looks something like this: <ejb-jar> <enterprise-beans> <session id="foo"> <!-- snip --> <resource-ref> <res-ref-name>jdbc/myDatasource</res-ref-name> <res-type>javax.sql.DataSource</res-type> <res-auth>Container</res-auth> </resource-ref> </session> <session id="bar"> <!-- snip --> <resource-ref> <res-ref-name>jdbc/myDatasource</res-ref-name> <res-type>javax.sql.DataSource</res-type> <res-auth>Container</res-auth> </resource-ref> </session> </enterprise-beans> </ejb-jar> You'll notice that both EJBs have the same resource-ref defined for both of them. Is there a way to factor this duplication out within a J2EE 1.4 application? Ideally I should be able to define the jdbc/myDatasource resource once within the application and have anything running inside that container be able to access it by doing a JNDI lookup for "java:comp/env/jdbc/myDatasource". Is there any way to accomplish this?

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  • MacBook Pro 15in High-res hard to read. What setting should I change?

    - by orokusaki
    I just bought a new MacBook Pro with the high-res screen (1680x1050), but I noticed that all text is so small that to read it my face has to be like 18 inches away. When I adjusted the resolution to be the next sizes down (1440 x 852, and 1440 x 852 stretched), as well as all the other smaller sizes it made everything look blurry (similarly to when you use Command + Scroll to zoom in, how the text is really soft on the edges, and difficult to read). Is there a setting somewhere that I'm missing, or another resolution settings area that I can use. I feel like this 2800 dollar notebook may be only good for movie watching otherwise. Thanks in advance.

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  • Building and Deploying Windows Azure Web Sites using Git and GitHub for Windows

    - by shiju
    Microsoft Windows Azure team has released a new version of Windows Azure which is providing many excellent features. The new Windows Azure provides Web Sites which allows you to deploy up to 10 web sites  for free in a multitenant shared environment and you can easily upgrade this web site to a private, dedicated virtual server when the traffic is grows. The Meet Windows Azure Fact Sheet provides the following information about a Windows Azure Web Site: Windows Azure Web Sites enable developers to easily build and deploy websites with support for multiple frameworks and popular open source applications, including ASP.NET, PHP and Node.js. With just a few clicks, developers can take advantage of Windows Azure’s global scale without having to worry about operations, servers or infrastructure. It is easy to deploy existing sites, if they run on Internet Information Services (IIS) 7, or to build new sites, with a free offer of 10 websites upon signup, with the ability to scale up as needed with reserved instances. Windows Azure Web Sites includes support for the following: Multiple frameworks including ASP.NET, PHP and Node.js Popular open source software apps including WordPress, Joomla!, Drupal, Umbraco and DotNetNuke Windows Azure SQL Database and MySQL databases Multiple types of developer tools and protocols including Visual Studio, Git, FTP, Visual Studio Team Foundation Services and Microsoft WebMatrix Signup to Windows and Enable Azure Web Sites You can signup for a 90 days free trial account in Windows Azure from here. After creating an account in Windows Azure, go to https://account.windowsazure.com/ , and select to preview features to view the available previews. In the Web Sites section of the preview features, click “try it now” which will enables the web sites feature Create Web Site in Windows Azure To create a web sites, login to the Windows Azure portal, and select Web Sites from and click New icon from the left corner  Click WEB SITE, QUICK CREATE and put values for URL and REGION dropdown. You can see the all web sites from the dashboard of the Windows Azure portal Set up Git Publishing Select your web site from the dashboard, and select Set up Git publishing To enable Git publishing , you must give user name and password which will initialize a Git repository Clone Git Repository We can use GitHub for Windows to publish apps to non-GitHub repositories which is well explained by Phil Haack on his blog post. Here we are going to deploy the web site using GitHub for Windows. Let’s clone a Git repository using the Git Url which will be getting from the Windows Azure portal. Let’s copy the Git url and execute the “git clone” with the git url. You can use the Git Shell provided by GitHub for Windows. To get it, right on the GitHub for Windows, and select open shell here as shown in the below picture. When executing the Git Clone command, it will ask for a password where you have to give password which specified in the Windows Azure portal. After cloning the GIT repository, you can drag and drop the local Git repository folder to GitHub for Windows GUI. This will automatically add the Windows Azure Web Site repository onto GitHub for Windows where you can commit your changes and publish your web sites to Windows Azure. Publish the Web Site using GitHub for Windows We can add multiple framework level files including ASP.NET, PHP and Node.js, to the local repository folder can easily publish to Windows Azure from GitHub for Windows GUI. For this demo, let me just add a simple Node.js file named Server.js which handles few request handlers. 1: var http = require('http'); 2: var port=process.env.PORT; 3: var querystring = require('querystring'); 4: var utils = require('util'); 5: var url = require("url"); 6:   7: var server = http.createServer(function(req, res) { 8: switch (req.url) { //checking the request url 9: case '/': 10: homePageHandler (req, res); //handler for home page 11: break; 12: case '/register': 13: registerFormHandler (req, res);//hamdler for register 14: break; 15: default: 16: nofoundHandler (req, res);// handler for 404 not found 17: break; 18: } 19: }); 20: server.listen(port); 21: //function to display the html form 22: function homePageHandler (req, res) { 23: console.log('Request handler home was called.'); 24: res.writeHead(200, {'Content-Type': 'text/html'}); 25: var body = '<html>'+ 26: '<head>'+ 27: '<meta http-equiv="Content-Type" content="text/html; '+ 28: 'charset=UTF-8" />'+ 29: '</head>'+ 30: '<body>'+ 31: '<form action="/register" method="post">'+ 32: 'Name:<input type=text value="" name="name" size=15></br>'+ 33: 'Email:<input type=text value="" name="email" size=15></br>'+ 34: '<input type="submit" value="Submit" />'+ 35: '</form>'+ 36: '</body>'+ 37: '</html>'; 38: //response content 39: res.end(body); 40: } 41: //handler for Post request 42: function registerFormHandler (req, res) { 43: console.log('Request handler register was called.'); 44: var pathname = url.parse(req.url).pathname; 45: console.log("Request for " + pathname + " received."); 46: var postData = ""; 47: req.on('data', function(chunk) { 48: // append the current chunk of data to the postData variable 49: postData += chunk.toString(); 50: }); 51: req.on('end', function() { 52: // doing something with the posted data 53: res.writeHead(200, "OK", {'Content-Type': 'text/html'}); 54: // parse the posted data 55: var decodedBody = querystring.parse(postData); 56: // output the decoded data to the HTTP response 57: res.write('<html><head><title>Post data</title></head><body><pre>'); 58: res.write(utils.inspect(decodedBody)); 59: res.write('</pre></body></html>'); 60: res.end(); 61: }); 62: } 63: //Error handler for 404 no found 64: function nofoundHandler(req, res) { 65: console.log('Request handler nofound was called.'); 66: res.writeHead(404, {'Content-Type': 'text/plain'}); 67: res.end('404 Error - Request handler not found'); 68: } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } If there is any change in the local repository folder, GitHub for Windows will automatically detect the changes. In the above step, we have just added a Server.js file so that GitHub for Windows will detect the changes. Let’s commit the changes to the local repository before publishing the web site to Windows Azure. After committed the all changes, you can click publish button which will publish the all changes to Windows Azure repository. The following screen shot shows deployment history from the Windows Azure portal.   GitHub for Windows is providing a sync button which can use for synchronizing between local repository and Windows Azure repository after making any commit on the local repository after any changes. Our web site is running after the deployment using Git Summary Windows Azure Web Sites lets the developers to easily build and deploy websites with support for multiple framework including ASP.NET, PHP and Node.js and can easily deploy the Web Sites using Visual Studio, Git, FTP, Visual Studio Team Foundation Services and Microsoft WebMatrix. In this demo, we have deployed a Node.js Web Site to Windows Azure using Git. We can use GitHub for Windows to publish apps to non-GitHub repositories and can use to publish Web SItes to Windows Azure.

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  • Convert ddply {plyr} to Oracle R Enterprise, or use with Embedded R Execution

    - by Mark Hornick
    The plyr package contains a set of tools for partitioning a problem into smaller sub-problems that can be more easily processed. One function within {plyr} is ddply, which allows you to specify subsets of a data.frame and then apply a function to each subset. The result is gathered into a single data.frame. Such a capability is very convenient. The function ddply also has a parallel option that if TRUE, will apply the function in parallel, using the backend provided by foreach. This type of functionality is available through Oracle R Enterprise using the ore.groupApply function. In this blog post, we show a few examples from Sean Anderson's "A quick introduction to plyr" to illustrate the correpsonding functionality using ore.groupApply. To get started, we'll create a demo data set and load the plyr package. set.seed(1) d <- data.frame(year = rep(2000:2014, each = 3),         count = round(runif(45, 0, 20))) dim(d) library(plyr) This first example takes the data frame, partitions it by year, and calculates the coefficient of variation of the count, returning a data frame. # Example 1 res <- ddply(d, "year", function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(cv.count = cv)   }) To illustrate the equivalent functionality in Oracle R Enterprise, using embedded R execution, we use the ore.groupApply function on the same data, but pushed to the database, creating an ore.frame. The function ore.push creates a temporary table in the database, returning a proxy object, the ore.frame. D <- ore.push(d) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(year=x$year[1], cv.count = cv)   }, FUN.VALUE=data.frame(year=1, cv.count=1)) You'll notice the similarities in the first three arguments. With ore.groupApply, we augment the function to return the specific data.frame we want. We also specify the argument FUN.VALUE, which describes the resulting data.frame. From our previous blog posts, you may recall that by default, ore.groupApply returns an ore.list containing the results of each function invocation. To get a data.frame, we specify the structure of the result. The results in both cases are the same, however the ore.groupApply result is an ore.frame. In this case the data stays in the database until it's actually required. This can result in significant memory and time savings whe data is large. R> class(res) [1] "ore.frame" attr(,"package") [1] "OREbase" R> head(res)    year cv.count 1 2000 0.3984848 2 2001 0.6062178 3 2002 0.2309401 4 2003 0.5773503 5 2004 0.3069680 6 2005 0.3431743 To make the ore.groupApply execute in parallel, you can specify the argument parallel with either TRUE, to use default database parallelism, or to a specific number, which serves as a hint to the database as to how many parallel R engines should be used. The next ddply example uses the summarise function, which creates a new data.frame. In ore.groupApply, the year column is passed in with the data. Since no automatic creation of columns takes place, we explicitly set the year column in the data.frame result to the value of the first row, since all rows received by the function have the same year. # Example 2 ddply(d, "year", summarise, mean.count = mean(count)) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   data.frame(year=x$year[1], mean.count = mean.count)   }, FUN.VALUE=data.frame(year=1, mean.count=1)) R> head(res)    year mean.count 1 2000 7.666667 2 2001 13.333333 3 2002 15.000000 4 2003 3.000000 5 2004 12.333333 6 2005 14.666667 Example 3 uses the transform function with ddply, which modifies the existing data.frame. With ore.groupApply, we again construct the data.frame explicilty, which is returned as an ore.frame. # Example 3 ddply(d, "year", transform, total.count = sum(count)) res <- ore.groupApply (D, D$year, function(x) {   total.count <- sum(x$count)   data.frame(year=x$year[1], count=x$count, total.count = total.count)   }, FUN.VALUE=data.frame(year=1, count=1, total.count=1)) > head(res)    year count total.count 1 2000 5 23 2 2000 7 23 3 2000 11 23 4 2001 18 40 5 2001 4 40 6 2001 18 40 In Example 4, the mutate function with ddply enables you to define new columns that build on columns just defined. Since the construction of the data.frame using ore.groupApply is explicit, you always have complete control over when and how to use columns. # Example 4 ddply(d, "year", mutate, mu = mean(count), sigma = sd(count),       cv = sigma/mu) res <- ore.groupApply (D, D$year, function(x) {   mu <- mean(x$count)   sigma <- sd(x$count)   cv <- sigma/mu   data.frame(year=x$year[1], count=x$count, mu=mu, sigma=sigma, cv=cv)   }, FUN.VALUE=data.frame(year=1, count=1, mu=1,sigma=1,cv=1)) R> head(res)    year count mu sigma cv 1 2000 5 7.666667 3.055050 0.3984848 2 2000 7 7.666667 3.055050 0.3984848 3 2000 11 7.666667 3.055050 0.3984848 4 2001 18 13.333333 8.082904 0.6062178 5 2001 4 13.333333 8.082904 0.6062178 6 2001 18 13.333333 8.082904 0.6062178 In Example 5, ddply is used to partition data on multiple columns before constructing the result. Realizing this with ore.groupApply involves creating an index column out of the concatenation of the columns used for partitioning. This example also allows us to illustrate using the ORE transparency layer to subset the data. # Example 5 baseball.dat <- subset(baseball, year > 2000) # data from the plyr package x <- ddply(baseball.dat, c("year", "team"), summarize,            homeruns = sum(hr)) We first push the data set to the database to get an ore.frame. We then add the composite column and perform the subset, using the transparency layer. Since the results from database execution are unordered, we will explicitly sort these results and view the first 6 rows. BB.DAT <- ore.push(baseball) BB.DAT$index <- with(BB.DAT, paste(year, team, sep="+")) BB.DAT2 <- subset(BB.DAT, year > 2000) X <- ore.groupApply (BB.DAT2, BB.DAT2$index, function(x) {   data.frame(year=x$year[1], team=x$team[1], homeruns=sum(x$hr))   }, FUN.VALUE=data.frame(year=1, team="A", homeruns=1), parallel=FALSE) res <- ore.sort(X, by=c("year","team")) R> head(res)    year team homeruns 1 2001 ANA 4 2 2001 ARI 155 3 2001 ATL 63 4 2001 BAL 58 5 2001 BOS 77 6 2001 CHA 63 Our next example is derived from the ggplot function documentation. This illustrates the use of ddply within using the ggplot2 package. We first create a data.frame with demo data and use ddply to create some statistics for each group (gp). We then use ggplot to produce the graph. We can take this same code, push the data.frame df to the database and invoke this on the database server. The graph will be returned to the client window, as depicted below. # Example 6 with ggplot2 library(ggplot2) df <- data.frame(gp = factor(rep(letters[1:3], each = 10)),                  y = rnorm(30)) # Compute sample mean and standard deviation in each group library(plyr) ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y)) # Set up a skeleton ggplot object and add layers: ggplot() +   geom_point(data = df, aes(x = gp, y = y)) +   geom_point(data = ds, aes(x = gp, y = mean),              colour = 'red', size = 3) +   geom_errorbar(data = ds, aes(x = gp, y = mean,                                ymin = mean - sd, ymax = mean + sd),              colour = 'red', width = 0.4) DF <- ore.push(df) ore.tableApply(DF, function(df) {   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4) }) But let's take this one step further. Suppose we wanted to produce multiple graphs, partitioned on some index column. We replicate the data three times and add some noise to the y values, just to make the graphs a little different. We also create an index column to form our three partitions. Note that we've also specified that this should be executed in parallel, allowing Oracle Database to control and manage the server-side R engines. The result of ore.groupApply is an ore.list that contains the three graphs. Each graph can be viewed by printing the list element. df2 <- rbind(df,df,df) df2$y <- df2$y + rnorm(nrow(df2)) df2$index <- c(rep(1,300), rep(2,300), rep(3,300)) DF2 <- ore.push(df2) res <- ore.groupApply(DF2, DF2$index, function(df) {   df <- df[,1:2]   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4)   }, parallel=TRUE) res[[1]] res[[2]] res[[3]] To recap, we've illustrated how various uses of ddply from the plyr package can be realized in ore.groupApply, which affords the user explicit control over the contents of the data.frame result in a straightforward manner. We've also highlighted how ddply can be used within an ore.groupApply call.

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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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  • Packets marked by iptables only sent to the correct routing table sometimes

    - by cookiecaper
    I am trying to route packets generated by a specific user out over a VPN. I have this configuration: $ sudo iptables -S -t nat -P PREROUTING ACCEPT -P OUTPUT ACCEPT -P POSTROUTING ACCEPT -A POSTROUTING -o tun0 -j MASQUERADE $ sudo iptables -S -t mangle -P PREROUTING ACCEPT -P INPUT ACCEPT -P FORWARD ACCEPT -P OUTPUT ACCEPT -P POSTROUTING ACCEPT -A OUTPUT -m owner --uid-owner guy -j MARK --set-xmark 0xb/0xffffffff $ sudo ip rule show 0: from all lookup local 32765: from all fwmark 0xb lookup 11 32766: from all lookup main 32767: from all lookup default $ sudo ip route show table 11 10.8.0.5 dev tun0 proto kernel scope link src 10.8.0.6 10.8.0.6 dev tun0 scope link 10.8.0.1 via 10.8.0.5 dev tun0 0.0.0.0/1 via 10.8.0.5 dev tun0 $ sudo iptables -S -t raw -P PREROUTING ACCEPT -P OUTPUT ACCEPT -A OUTPUT -m owner --uid-owner guy -j TRACE -A OUTPUT -p tcp -m tcp --dport 80 -j TRACE It seems that some sites work fine and use the VPN, but others don't and fall back to the normal interface. This is bad. This is a packet trace that used VPN: Oct 27 00:24:28 agent kernel: [612979.976052] TRACE: raw:OUTPUT:rule:2 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=23.1.17.194 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=14494 DF PROTO=TCP SPT=57502 DPT=80 SEQ=2294732931 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6E01D0000000001030307) UID=999 GID=999 Oct 27 00:24:28 agent kernel: [612979.976105] TRACE: raw:OUTPUT:policy:3 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=23.1.17.194 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=14494 DF PROTO=TCP SPT=57502 DPT=80 SEQ=2294732931 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6E01D0000000001030307) UID=999 GID=999 Oct 27 00:24:28 agent kernel: [612979.976164] TRACE: mangle:OUTPUT:rule:1 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=23.1.17.194 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=14494 DF PROTO=TCP SPT=57502 DPT=80 SEQ=2294732931 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6E01D0000000001030307) UID=999 GID=999 Oct 27 00:24:28 agent kernel: [612979.976210] TRACE: mangle:OUTPUT:policy:2 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=23.1.17.194 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=14494 DF PROTO=TCP SPT=57502 DPT=80 SEQ=2294732931 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6E01D0000000001030307) UID=999 GID=999 MARK=0xb Oct 27 00:24:28 agent kernel: [612979.976269] TRACE: nat:OUTPUT:policy:1 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=23.1.17.194 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=14494 DF PROTO=TCP SPT=57502 DPT=80 SEQ=2294732931 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6E01D0000000001030307) UID=999 GID=999 MARK=0xb Oct 27 00:24:28 agent kernel: [612979.976320] TRACE: filter:OUTPUT:policy:1 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=23.1.17.194 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=14494 DF PROTO=TCP SPT=57502 DPT=80 SEQ=2294732931 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6E01D0000000001030307) UID=999 GID=999 MARK=0xb Oct 27 00:24:28 agent kernel: [612979.976367] TRACE: mangle:POSTROUTING:policy:1 IN= OUT=tun0 SRC=XXX.YYY.ZZZ.AAA DST=23.1.17.194 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=14494 DF PROTO=TCP SPT=57502 DPT=80 SEQ=2294732931 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6E01D0000000001030307) UID=999 GID=999 MARK=0xb Oct 27 00:24:28 agent kernel: [612979.976414] TRACE: nat:POSTROUTING:rule:1 IN= OUT=tun0 SRC=XXX.YYY.ZZZ.AAA DST=23.1.17.194 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=14494 DF PROTO=TCP SPT=57502 DPT=80 SEQ=2294732931 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6E01D0000000001030307) UID=999 GID=999 MARK=0xb and this is one that didn't: Oct 27 00:22:41 agent kernel: [612873.662559] TRACE: raw:OUTPUT:rule:2 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=209.68.27.16 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=40425 DF PROTO=TCP SPT=45305 DPT=80 SEQ=604973951 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6B6960000000001030307) UID=999 GID=999 Oct 27 00:22:41 agent kernel: [612873.662609] TRACE: raw:OUTPUT:policy:3 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=209.68.27.16 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=40425 DF PROTO=TCP SPT=45305 DPT=80 SEQ=604973951 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6B6960000000001030307) UID=999 GID=999 Oct 27 00:22:41 agent kernel: [612873.662664] TRACE: mangle:OUTPUT:rule:1 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=209.68.27.16 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=40425 DF PROTO=TCP SPT=45305 DPT=80 SEQ=604973951 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6B6960000000001030307) UID=999 GID=999 Oct 27 00:22:41 agent kernel: [612873.662709] TRACE: mangle:OUTPUT:policy:2 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=209.68.27.16 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=40425 DF PROTO=TCP SPT=45305 DPT=80 SEQ=604973951 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6B6960000000001030307) UID=999 GID=999 MARK=0xb Oct 27 00:22:41 agent kernel: [612873.662761] TRACE: nat:OUTPUT:policy:1 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=209.68.27.16 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=40425 DF PROTO=TCP SPT=45305 DPT=80 SEQ=604973951 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6B6960000000001030307) UID=999 GID=999 MARK=0xb Oct 27 00:22:41 agent kernel: [612873.662808] TRACE: filter:OUTPUT:policy:1 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=209.68.27.16 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=40425 DF PROTO=TCP SPT=45305 DPT=80 SEQ=604973951 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6B6960000000001030307) UID=999 GID=999 MARK=0xb Oct 27 00:22:41 agent kernel: [612873.662855] TRACE: mangle:POSTROUTING:policy:1 IN= OUT=eth0 SRC=XXX.YYY.ZZZ.AAA DST=209.68.27.16 LEN=60 TOS=0x00 PREC=0x00 TTL=64 ID=40425 DF PROTO=TCP SPT=45305 DPT=80 SEQ=604973951 ACK=0 WINDOW=5840 RES=0x00 SYN URGP=0 OPT (020405B40402080A03A6B6960000000001030307) UID=999 GID=999 MARK=0xb I have already tried "ip route flush cache", to no avail. I do not know why the first packet goes through the correct routing table, and the second doesn't. Both are marked. Once again, I do not want ALL packets system-wide to go through the VPN, I only want packets from a specific user (UID=999) to go through the VPN. I am testing ipchicken.com and walmart.com via links, from the same user, same shell. walmart.com appears to use the VPN; ipchicken.com does not. Any help appreciated. Will send 0.5 bitcoins to answerer who makes this fixed.

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