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  • Apache server still running but user can not connect website, after "sudo apachectl restart" user can connect website, what'r wrong? [on hold]

    - by Tinyfool
    My website is http://ourcoders.com/, recently I found sometime user report can not connect to my website, but I ssh to server, I found Apache still running, like this: root@AY1401261057077842eaZ:~# ps aux|grep apache root 873 0.0 1.3 290496 13528 ? Ss Aug18 0:28 /usr/sbin/apache2 -k start www-data 3490 0.0 1.8 299004 18764 ? S Aug21 0:01 /usr/sbin/apache2 -k start www-data 3612 0.0 1.5 296008 15540 ? S Aug21 0:03 /usr/sbin/apache2 -k start www-data 3860 0.0 1.5 296636 16268 ? S Aug21 0:00 /usr/sbin/apache2 -k start www-data 3913 0.0 1.2 295468 13084 ? S Aug21 0:00 /usr/sbin/apache2 -k start www-data 3931 0.0 1.7 298488 18228 ? S 16:02 0:01 /usr/sbin/apache2 -k start www-data 3938 0.0 1.9 299128 19724 ? S 16:02 0:02 /usr/sbin/apache2 -k start www-data 4465 0.0 1.6 296688 16404 ? S Aug21 0:00 /usr/sbin/apache2 -k start www-data 5075 0.0 1.2 295468 13044 ? S 16:16 0:00 /usr/sbin/apache2 -k start www-data 5153 0.0 1.5 295880 15612 ? S 16:17 0:00 /usr/sbin/apache2 -k start www-data 5770 0.0 1.5 296608 16016 ? S 16:30 0:00 /usr/sbin/apache2 -k start www-data 5773 0.0 1.6 296948 16640 ? S 16:30 0:00 /usr/sbin/apache2 -k start www-data 5816 0.0 1.6 297216 16976 ? S 16:31 0:01 /usr/sbin/apache2 -k start www-data 5918 0.0 1.7 298228 17820 ? S 16:33 0:01 /usr/sbin/apache2 -k start www-data 6023 0.0 1.9 299864 19840 ? S 16:35 0:13 /usr/sbin/apache2 -k start www-data 6073 0.0 1.7 298480 18120 ? S 16:36 0:02 /usr/sbin/apache2 -k start www-data 6088 0.0 2.0 300488 21008 ? S 16:36 0:12 /usr/sbin/apache2 -k start www-data 6114 0.0 1.7 298548 18268 ? S 16:37 0:12 /usr/sbin/apache2 -k start www-data 6134 0.0 1.6 296688 16532 ? S 16:37 0:04 /usr/sbin/apache2 -k start www-data 6193 0.0 1.7 297908 17420 ? S 16:38 0:08 /usr/sbin/apache2 -k start www-data 6821 0.0 1.8 299556 19072 ? S 16:43 0:11 /usr/sbin/apache2 -k start www-data 7058 0.0 1.7 298676 18204 ? S 16:48 0:10 /usr/sbin/apache2 -k start www-data 7065 0.0 1.8 299028 18868 ? S 16:48 0:11 /usr/sbin/apache2 -k start www-data 7084 0.0 1.8 299508 19020 ? S 16:48 0:11 /usr/sbin/apache2 -k start www-data 7221 0.0 1.8 299160 18768 ? S 16:51 0:09 /usr/sbin/apache2 -k start www-data 11453 0.0 1.7 298484 18256 ? S 09:39 0:02 /usr/sbin/apache2 -k start root 26324 0.0 0.0 8084 920 pts/0 S+ 22:52 0:00 grep --color=auto apache root 28517 0.0 0.0 4404 612 ? S Aug21 0:00 /bin/sh -c /usr/sbin/cronolog /var/log/apache2/cocoa/%Y/%m/access-%Y-%m-%d.log root 28518 0.0 0.0 4404 616 ? S Aug21 0:00 /bin/sh -c /usr/sbin/cronolog /var/log/apache2/cocoa/%Y/%m/access-%Y-%m-%d.log root 28519 0.0 0.0 4404 612 ? S Aug21 0:00 /bin/sh -c /usr/sbin/cronolog /var/log/apache2/cocoa/%Y/%m/access-%Y-%m-%d.log root 28520 0.0 0.0 4404 616 ? S Aug21 0:00 /bin/sh -c /usr/sbin/cronolog /var/log/apache2/cocoa/%Y/%m/access-%Y-%m-%d.log root 28521 0.0 0.0 4312 552 ? S Aug21 0:00 /usr/sbin/cronolog /var/log/apache2/cocoa/%Y/%m/access-%Y-%m-%d.log root 28522 0.0 0.0 4308 548 ? S Aug21 0:07 /usr/sbin/cronolog /var/log/apache2/cocoa/%Y/%m/access-%Y-%m-%d.log root 28523 0.0 0.0 4176 352 ? S Aug21 0:00 /usr/sbin/cronolog /var/log/apache2/cocoa/%Y/%m/access-%Y-%m-%d.log root 28524 0.0 0.0 4180 356 ? S Aug21 0:00 /usr/sbin/cronolog /var/log/apache2/cocoa/%Y/%m/access-%Y-%m-%d.log Today's only error log is blow. [Sat Aug 23 22:52:47 2014] [notice] SIGHUP received. Attempting to restart [Sat Aug 23 22:52:47 2014] [notice] Apache/2.2.22 (Ubuntu) PHP/5.3.10-1ubuntu3.13 with Suhosin-Patch configured -- resuming normal operations traffic information: cat access-2014-08-23.log | cut -d " " -f4 |cut -d":" -f2 |sort|uniq -c |sort -nr 5692 14 5291 15 5083 16 4723 23 4463 12 4057 17 4011 11 3926 13 3852 10 3187 05 3176 09 3055 06 2790 07 2672 00 2608 02 2591 01 2577 04 2514 03 2497 08 707 22 88 18 After I use "sudo apachectl restart", user can connect my website. So I want to know? What is the problem? And if "sudo apachectl restart" is needed, can I automate run this command? Today this kind struts appear again, and I run netstat -a -n Proto Recv-Q Send-Q Local Address Foreign Address State tcp 0 0 127.0.0.1:3306 0.0.0.0:* LISTEN tcp 0 0 0.0.0.0:80 0.0.0.0:* LISTEN tcp 0 0 115.28.146.116:80 125.39.208.120:50708 SYN_RECV tcp 0 0 115.28.146.116:80 125.39.208.158:50278 SYN_RECV tcp 0 0 115.28.146.116:80 220.173.142.152:23320 SYN_RECV tcp 0 0 115.28.146.116:80 60.173.247.132:52851 SYN_RECV tcp 0 0 115.28.146.116:80 125.39.208.158:39397 SYN_RECV tcp 0 0 115.28.146.116:80 125.39.208.158:56894 SYN_RECV tcp 0 0 115.28.146.116:80 183.129.174.2:21291 SYN_RECV tcp 0 0 115.28.146.116:80 125.39.208.120:44499 SYN_RECV tcp 0 0 115.28.146.116:80 125.39.208.120:34017 SYN_RECV tcp 0 0 115.28.146.116:80 124.65.50.210:3774 SYN_RECV tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN tcp 0 0 127.0.0.1:15770 0.0.0.0:* LISTEN tcp 1 0 115.28.146.116:80 14.127.65.219:61633 CLOSE_WAIT tcp 305 0 115.28.146.116:80 125.39.208.120:37593 ESTABLISHED tcp 0 0 10.144.142.201:52866 10.146.6.61:3306 TIME_WAIT tcp 0 0 10.144.142.201:52873 10.146.6.61:3306 TIME_WAIT tcp 0 0 10.144.142.201:52868 10.146.6.61:3306 TIME_WAIT tcp 343 0 115.28.146.116:80 182.118.20.215:50709 ESTABLISHED tcp 0 0 115.28.146.116:54784 173.194.127.243:80 ESTABLISHED tcp 1 0 115.28.146.116:80 116.192.2.185:41253 CLOSE_WAIT tcp 0 0 10.144.142.201:52876 10.146.6.61:3306 ESTABLISHED tcp 559 0 115.28.146.116:80 218.241.144.114:54501 ESTABLISHED tcp 376 0 115.28.146.116:80 116.213.196.119:50604 CLOSE_WAIT tcp 1 0 115.28.146.116:80 113.36.238.28:59339 CLOSE_WAIT tcp 214 0 115.28.146.116:80 142.4.215.40:34443 ESTABLISHED tcp 0 0 115.28.146.116:48635 115.28.146.116:80 ESTABLISHED tcp 187 0 115.28.146.116:80 115.28.146.116:48635 ESTABLISHED tcp 0 0 10.144.142.201:52853 10.146.6.61:3306 TIME_WAIT tcp 594 0 115.28.146.116:80 183.129.174.2:7090 CLOSE_WAIT tcp 0 0 10.144.142.201:52874 10.146.6.61:3306 TIME_WAIT tcp 0 0 115.28.146.116:80 182.118.20.166:44081 TIME_WAIT tcp 1 0 115.28.146.116:80 113.36.238.28:59028 CLOSE_WAIT tcp 1 0 115.28.146.116:80 14.127.65.219:61665 CLOSE_WAIT tcp 0 0 10.144.142.201:52860 10.146.6.61:3306 TIME_WAIT tcp 0 0 10.144.142.201:46983 10.146.6.61:3306 ESTABLISHED tcp 0 2290 115.28.146.116:80 14.154.179.243:41049 FIN_WAIT1 tcp 0 0 10.144.142.201:42900 10.146.6.61:3306 ESTABLISHED tcp 571 0 115.28.146.116:80 220.173.142.152:23295 CLOSE_WAIT tcp 1 0 115.28.146.116:80 113.36.238.28:59337 CLOSE_WAIT tcp 438 0 115.28.146.116:80 42.120.74.202:31567 CLOSE_WAIT tcp 0 0 115.28.146.116:80 113.36.238.28:59498 ESTABLISHED tcp 259 0 115.28.146.116:80 66.249.65.56:36739 ESTABLISHED tcp 0 0 115.28.146.116:80 113.36.238.28:59341 ESTABLISHED tcp 0 0 115.28.146.116:80 142.4.215.40:34267 FIN_WAIT2 tcp 799 0 115.28.146.116:80 180.173.88.1:52779 ESTABLISHED tcp 0 0 115.28.146.116:80 117.136.25.132:25207 FIN_WAIT2 tcp 0 0 115.28.146.116:80 220.181.108.186:42540 TIME_WAIT tcp 0 0 10.144.142.201:59902 10.242.174.13:80 TIME_WAIT tcp 0 1820 115.28.146.116:80 218.22.140.90:39266 LAST_ACK tcp 0 0 115.28.146.116:80 66.249.65.64:56977 TIME_WAIT tcp 669 0 115.28.146.116:80 83.251.90.61:49664 ESTABLISHED tcp 0 0 10.144.142.201:52872 10.146.6.61:3306 TIME_WAIT tcp 233 0 115.28.146.116:80 54.202.88.0:43398 CLOSE_WAIT tcp 479 0 115.28.146.116:80 65.49.44.149:25739 ESTABLISHED tcp 378 0 115.28.146.116:80 148.251.124.173:39313 CLOSE_WAIT tcp 1 0 115.28.146.116:80 14.127.65.219:61697 CLOSE_WAIT tcp 1 0 115.28.146.116:80 49.4.158.2:52986 CLOSE_WAIT tcp 769 0 115.28.146.116:80 14.127.65.219:61537 ESTABLISHED tcp 0 0 10.144.142.201:52859 10.146.6.61:3306 TIME_WAIT tcp 0 0 10.144.142.201:55734 10.164.2.163:9200 TIME_WAIT tcp 563 0 115.28.146.116:80 202.55.20.10:22577 CLOSE_WAIT tcp 194 0 115.28.146.116:80 37.58.100.165:50908 CLOSE_WAIT tcp 791 0 115.28.146.116:80 116.192.2.185:45628 ESTABLISHED tcp 709 0 115.28.146.116:80 113.116.61.178:65209 ESTABLISHED tcp 706 0 115.28.146.116:80 183.227.44.237:54519 ESTABLISHED tcp 301 0 115.28.146.116:80 118.198.243.127:31180 ESTABLISHED tcp 0 0 10.144.142.201:55721 10.164.2.163:9200 TIME_WAIT tcp 0 0 10.144.142.201:55726 10.164.2.163:9200 TIME_WAIT tcp 0 0 10.144.142.201:55723 10.164.2.163:9200 TIME_WAIT tcp 681 0 115.28.146.116:80 83.251.90.61:49662 ESTABLISHED tcp 0 0 115.28.146.116:80 83.251.90.61:65274 TIME_WAIT tcp 1 0 115.28.146.116:80 113.36.238.28:59022 CLOSE_WAIT tcp 1 0 115.28.146.116:80 180.173.88.1:52781 CLOSE_WAIT tcp 1 0 115.28.146.116:80 113.36.238.28:59037 CLOSE_WAIT tcp 0 0 10.144.142.201:55728 10.164.2.163:9200 TIME_WAIT tcp 231 0 115.28.146.116:37596 110.75.102.62:80 CLOSE_WAIT tcp 1 0 115.28.146.116:80 14.127.65.219:61569 CLOSE_WAIT tcp 0 0 10.144.142.201:51310 10.146.6.61:3306 ESTABLISHED tcp 299 0 115.28.146.116:80 123.125.71.16:36281 ESTABLISHED tcp 0 0 115.28.146.116:48620 115.28.146.116:80 ESTABLISHED tcp 1 0 115.28.146.116:80 183.227.44.237:54520 CLOSE_WAIT tcp 1 0 115.28.146.116:80 113.36.238.28:59026 CLOSE_WAIT tcp 479 0 115.28.146.116:80 65.49.44.149:5490 ESTABLISHED tcp 665 0 115.28.146.116:80 83.251.90.61:49663 ESTABLISHED tcp 0 0 115.28.146.116:53744 173.194.127.147:80 ESTABLISHED tcp 1 0 115.28.146.116:80 113.36.238.28:59023 CLOSE_WAIT tcp 0 0 115.28.146.116:22 116.192.2.185:34205 ESTABLISHED tcp 333 0 115.28.146.116:80 149.174.113.111:54338 CLOSE_WAIT tcp 0 0 10.144.142.201:52861 10.146.6.61:3306 TIME_WAIT tcp 0 0 10.144.142.201:52863 10.146.6.61:3306 TIME_WAIT tcp 1 0 115.28.146.116:80 116.192.2.185:43272 CLOSE_WAIT tcp 767 0 115.28.146.116:80 49.4.158.2:52947 CLOSE_WAIT tcp 668 0 115.28.146.116:80 83.251.90.61:49665 ESTABLISHED tcp 642 0 115.28.146.116:80 222.78.185.50:55788 ESTABLISHED tcp 710 0 115.28.146.116:80 113.116.61.178:65264 ESTABLISHED tcp 284 0 115.28.146.116:80 157.55.39.243:65185 ESTABLISHED tcp 450 0 115.28.146.116:80 65.49.44.149:55496 ESTABLISHED tcp 1 0 115.28.146.116:80 116.192.2.185:36629 CLOSE_WAIT tcp 233 0 115.28.146.116:80 54.202.88.0:42424 CLOSE_WAIT tcp 187 0 115.28.146.116:80 115.28.146.116:48620 ESTABLISHED tcp 1 0 115.28.146.116:80 14.127.65.219:61601 CLOSE_WAIT tcp 776 0 115.28.146.116:80 202.118.253.102:64883 CLOSE_WAIT tcp 841 0 115.28.146.116:80 37.228.105.28:49472 ESTABLISHED tcp 787 0 115.28.146.116:80 112.65.226.198:52192 ESTABLISHED tcp 0 0 10.144.142.201:55717 10.164.2.163:9200 TIME_WAIT tcp 233 0 115.28.146.116:80 54.202.88.0:42855 CLOSE_WAIT tcp 379 0 115.28.146.116:80 101.226.166.219:2322 ESTABLISHED tcp 0 0 115.28.146.116:80 183.60.212.152:43063 CLOSE_WAIT tcp 1 0 115.28.146.116:80 180.173.88.1:52780 CLOSE_WAIT tcp 784 0 115.28.146.116:80 101.95.29.26:63094 ESTABLISHED tcp 463 0 115.28.146.116:80 65.49.44.149:53876 ESTABLISHED tcp 1 0 115.28.146.116:80 116.192.2.185:37946 CLOSE_WAIT tcp 479 0 115.28.146.116:80 65.49.44.149:41157 ESTABLISHED tcp 1 0 115.28.146.116:80 113.36.238.28:59036 CLOSE_WAIT tcp 1 0 115.28.146.116:80 49.4.158.2:52984 CLOSE_WAIT tcp 1 0 115.28.146.116:80 116.192.2.185:38100 CLOSE_WAIT tcp 0 0 10.144.142.201:52865 10.146.6.61:3306 TIME_WAIT tcp 1 0 115.28.146.116:80 113.36.238.28:59027 CLOSE_WAIT tcp 0 0 115.28.146.116:36508 173.194.127.81:80 ESTABLISHED tcp 210 0 115.28.146.116:80 188.143.232.123:47775 ESTABLISHED tcp 1 0 115.28.146.116:80 113.36.238.28:59025 CLOSE_WAIT tcp 0 0 10.144.142.201:52857 10.146.6.61:3306 TIME_WAIT tcp 654 0 115.28.146.116:80 49.4.158.2:52985 ESTABLISHED tcp 0 0 115.28.146.116:58627 110.75.102.62:80 ESTABLISHED tcp 782 0 115.28.146.116:80 180.153.219.13:40293 ESTABLISHED tcp 792 0 115.28.146.116:80 116.192.2.185:48187 CLOSE_WAIT tcp6 0 0 :::22 :::* LISTEN udp 0 0 115.28.146.116:123 0.0.0.0:* udp 0 0 10.144.142.201:123 0.0.0.0:* udp 0 0 127.0.0.1:123 0.0.0.0:* udp 0 0 0.0.0.0:123 0.0.0.0:* udp6 0 0 :::123 :::* Active UNIX domain sockets (servers and established) Proto RefCnt Flags Type State I-Node Path unix 2 [ ACC ] STREAM LISTENING 8447 /var/run/mysqld/mysqld.sock unix 2 [ ACC ] SEQPACKET LISTENING 6678 /run/udev/control unix 2 [ ACC ] STREAM LISTENING 6482 @/com/ubuntu/upstart unix 2 [ ACC ] STREAM LISTENING 7543 /var/run/dbus/system_bus_socket unix 7 [ ] DGRAM 7551 /dev/log unix 2 [ ACC ] STREAM LISTENING 7650 /var/run/nscd/socket unix 2 [ ] DGRAM 7156424 unix 3 [ ] STREAM CONNECTED 7156137 /var/run/dbus/system_bus_socket unix 3 [ ] STREAM CONNECTED 7156136 unix 2 [ ] DGRAM 7156135 unix 2 [ ] DGRAM 7155834 unix 2 [ ] DGRAM 9734 unix 3 [ ] STREAM CONNECTED 9151 /var/run/dbus/system_bus_socket unix 3 [ ] STREAM CONNECTED 9150 unix 3 [ ] STREAM CONNECTED 9136 /var/run/dbus/system_bus_socket unix 3 [ ] STREAM CONNECTED 9135 unix 3 [ ] STREAM CONNECTED 9106 /var/run/dbus/system_bus_socket unix 3 [ ] STREAM CONNECTED 9105 unix 2 [ ] DGRAM 9073 unix 3 [ ] STREAM CONNECTED 7575 /var/run/dbus/system_bus_socket unix 3 [ ] STREAM CONNECTED 7574 unix 3 [ ] STREAM CONNECTED 7565 unix 3 [ ] STREAM CONNECTED 7564 unix 3 [ ] STREAM CONNECTED 7332 @/com/ubuntu/upstart unix 3 [ ] STREAM CONNECTED 7330 unix 3 [ ] DGRAM 6712 unix 3 [ ] DGRAM 6711 unix 3 [ ] STREAM CONNECTED 6662 @/com/ubuntu/upstart unix 3 [ ] STREAM CONNECTED 6635

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  • How do you handle EF Data Contexts combined with asp.net custom membership/role providers

    - by KallDrexx
    I can't seem to get my head around how to implement a custom membership provider with Entity Framework data contexts into my asp.net MVC application. I understand how to create a custom membership/role provider by itself (using this as a reference). Here's my current setup: As of now I have a repository factory interface that allows different repository factories to be created (right now I only have a factory for EF repositories and and in memory repositories). The repository factory looks like this: public class EFRepositoryFactory : IRepositoryFactory { private EntitiesContainer _entitiesContext; /// <summary> /// Constructor that generates the necessary object contexts /// </summary> public EFRepositoryFactory() { _entitiesContext = new EntitiesContainer(); } /// <summary> /// Generates a new entity framework repository for the specified entity type /// </summary> /// <typeparam name="T">Type of entity to generate a repository for </typeparam> /// <returns>Returns an EFRepository</returns> public IRepository<T> GenerateRepository<T>() where T : class { return new EFRepository<T>(_entitiesContext); } } Controllers are passed an EF repository factory via castle Windsor. The controller then creates all the service/business layer objects it requires and passes in the repository factory into it. This means that all service objects are using the same EF data contexts and I do not have to worry about objects being used in more than one data context (which of course is not allowed and causes an exception). As of right now I am trying to decide how to generate my user and authorization service layers, and have run against a design roadblock. The User/Authization service will be a central class that handles the logic for logging in, changing user details, managing roles and determining what users have access to what. The problem is, using the current methodology the asp.net mvc controllers will initialize it's own EF repository factory via Windsor and the asp.net membership/role provider will have to initialize it's own EF repository factory. This means that each part of the site will then have it's own data context. This seems to mean that if asp.net authenticates a user, that user's object will be in the membership provider's data context and thus if I try to retrieve that user object in the service layer (say to change the user's name) I will get a duplication exception. I thought of making the repository factory class a singleton, but I don't see a way for that to work with castle Windsor. How do other people handle asp.net custom providers in a MVC (or any n-tier) architecture without having object duplication issues?

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  • Non-linear regression models in PostgreSQL using R

    - by Dave Jarvis
    Background I have climate data (temperature, precipitation, snow depth) for all of Canada between 1900 and 2009. I have written a basic website and the simplest page allows users to choose category and city. They then get back a very simple report (without the parameters and calculations section): The primary purpose of the web application is to provide a simple user interface so that the general public can explore the data in meaningful ways. (A list of numbers is not meaningful to the general public, nor is a website that provides too many inputs.) The secondary purpose of the application is to provide climatologists and other scientists with deeper ways to view the data. (Using too many inputs, of course.) Tool Set The database is PostgreSQL with R (mostly) installed. The reports are written using iReport and generated using JasperReports. Poor Model Choice Currently, a linear regression model is applied against annual averages of daily data. The linear regression model is calculated within a PostgreSQL function as follows: SELECT regr_slope( amount, year_taken ), regr_intercept( amount, year_taken ), corr( amount, year_taken ) FROM temp_regression INTO STRICT slope, intercept, correlation; The results are returned to JasperReports using: SELECT year_taken, amount, year_taken * slope + intercept, slope, intercept, correlation, total_measurements INTO result; JasperReports calls into PostgreSQL using the following parameterized analysis function: SELECT year_taken, amount, measurements, regression_line, slope, intercept, correlation, total_measurements, execute_time FROM climate.analysis( $P{CityId}, $P{Elevation1}, $P{Elevation2}, $P{Radius}, $P{CategoryId}, $P{Year1}, $P{Year2} ) ORDER BY year_taken This is not an optimal solution because it gives the false impression that the climate is changing at a slow, but steady rate. Questions Using functions that take two parameters (e.g., year [X] and amount [Y]), such as PostgreSQL's regr_slope: What is a better regression model to apply? What CPAN-R packages provide such models? (Installable, ideally, using apt-get.) How can the R functions be called within a PostgreSQL function? If no such functions exist: What parameters should I try to obtain for functions that will produce the desired fit? How would you recommend showing the best fit curve? Keep in mind that this is a web app for use by the general public. If the only way to analyse the data is from an R shell, then the purpose has been defeated. (I know this is not the case for most R functions I have looked at so far.) Thank you!

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  • NSObject release destroys local copy of object's data

    - by Spider-Paddy
    I know this is something stupid on my part but I don't get what's happening. I create an object that fetches data & puts it into an array in a specific format, since it fetches asynchronously (has to download & parse data) I put a delegate method into the object that needs the data so that the data fetching object copies it's formatted array into an array in the calling object. The problem is that when the data fetching object is released, the copy it created in the caller is being erased, code is: In .h file @property (nonatomic, retain) NSArray *imagesDataSource; In .m file // Fetch item details ImagesParser *imagesParserObject = [[ImagesParser alloc] init:self]; [imagesParserObject getArticleImagesOfArticleId:(NSInteger)currentArticleId]; [imagesParserObject release] <-- problematic release // Called by parser when images parsing is finished -(void)imagesDataTransferComplete:(ImagesParser *)imagesParserObject { self.imagesDataSource = [ImagesParserObject.returnedArray copy]; // copy array to local variable // If there are more pics, they must be assembled in an array for possible UIImageView animation NSInteger picCount = [imagesDataSource count]; if(picCount > 1) // 1 image is assumed to be the pic already displayed { // Build image array NSMutableArray *tempPicArray = [[NSMutableArray alloc] init]; // Temp space to hold images while building for(int i = 0; i < picCount; i++) { // Get Nr from only article in detailDataSource & pic name (Small) from each item in imagesDataSource NSString *picAddress = [NSString stringWithFormat:@"http://some.url.com/shopdata/image/article/%@/%@", [[detailDataSource objectAtIndex:0] objectForKey:@"Nr"], [[imagesDataSource objectAtIndex:i] objectForKey:@"Small"]]; NSURL *picURL = [NSURL URLWithString:picAddress]; NSData *picData = [NSData dataWithContentsOfURL:picURL]; [tempPicArray addObject:[UIImage imageWithData:picData]]; } imagesArray = [tempPicArray copy]; // copy makes immutable copy of array [tempPicArray release]; currentPicIndex = 0; // Assume first pic is pic already being shown } else imagesArray = nil; // No need for a needless pic array // Remove please wait message [pleaseWaitViewControllerObject.view removeFromSuperview]; } I put in tons of NSLog lines to keep track of what was going on & self.imagesDataSource is populated with the returned array but when the parser object is released self.imagesDataSource becomes empty. I thought self.imagesDataSource = [ImagesParserObject.returnedArray copy]; is supposed to make an independant object, like as if it was alloc, init'ed, so that self.imagesDataSource is not just a pointer to the parser's array but is it's own array. So why does the release of the parser object clear the copy of the array. (I checked & double checked that it's not something overwriting self.imagesDataSource, commenting out [imagesParserObject release] consistently fixes the problem) Also, I have exactly the same problem with self.detailDataSource which is declared & populated in the exact same way as self.imagesDataSource I thought that once I call the parser I could release it because the caller no longer needs to refer to it, all further activity is carried out by the parser object through it's delegate method, what am I doing wrong?

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  • Angularjs togglecheck error(not working as intended) with prechecked data

    - by crozzfire
    I have this plunker where i have a button that opens a bootstrap modal dialog box. I the modal, when a course is selected(checked) from this list, it adds 3 to the $scope.planned and also increases the progress bar accordingly. Similarly it also reduces in the same way when a checkbox is unchecked. This is the function that does the above: $scope.toggleCheck = function (course) { //debugger var x = $scope.checkcoursefunction($scope.selectedCourses, course); if(x==true){ $scope.selectedCourses.splice($scope.selectedCourses.indexOf(course), 1); $scope.planned -= 3; } else{ if ($scope.selectedCourses.indexOf(course) === -1){ $scope.selectedCourses.push(course); $scope.planned += 3; } else { $scope.selectedCourses.splice($scope.selectedCourses.indexOf(course), 1); $scope.planned -= 3; } } $scope.getPercentage(); }; I have 2 services from where the controller fetches its data named Requirements and Planned Services. The table in the modal has a list of the requirements service data. I also have a function named checkplanneddetails() that checks if an item from this data is present in the requirements data. If present, they come in the table pre-checked. This is the function that checks: $scope.checkplanneddetails = function(course){ $scope.coursedetail = course; $scope.requirementcoursename = ($scope.coursedetail.course.subject).concat("-",$scope.coursedetail.course.course_no); for(var k = 0; k < $scope.planneddetails.length; k++){ if($scope.requirementcoursename==$scope.planneddetails[k].course_name){ $scope.selectedCourses.push(course); return true; } } return false; }; $scope.checkcoursefunction = function(arr,obj){ return (arr.indexOf(obj) != -1); } This works fine with bringing the data as checked. But the togglecheck() function does not work as they are supposed to with these checked details(they work in reverse). It always returns true(for var x in togglecheck) even after the splice function. Am i splicing the course correctly?

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  • Excel string manipulation to check data consistency

    - by chefsmart
    Background information: - There are nearly 7000 individuals and there is data about their performances in one, two or three tests. Every individual has taken the 1st test (let's call it Test M). Some of those who have taken Test M have also taken Test I, and some of those who have taken Test I have also taken Test B. For the first two tests (M and I), students can score grades I, II, or III. Depending on the grades they are awarded points -- 3 for grade I, 2 for II, 1 for III. The last Test B is just a pass or a fail result with no grades. Those passing this test get 1 point, with no points for failure. (Well actually, grades are awarded, but all grades are given a common 1 point). An amateur has entered data to represent these students and their grades in an Excel file. Problem is, this person has done the worst thing possible - he has developed his own notation and entered all test information in a single cell --- and made my life hell. The file originally had two text columns, one for individual's id, and the second for test info, if one could call it that. It's horrible, I know, and I am suffering. In the image, if you see "M-II-2 I-III-1" it means the person got grade II in Test M for 2 points and grade III in Test I for 1 point. Some have taken only one test, some two, and some three. When the file came to me for processing and analyzing the performance of students, I sent it back with instructions to insert 3 additional columns with only the grades for the three tests. The file now looks as follows. Columns C and D represent grades I, II, and III using 1,2 and 3 respectively. Column C is for Test M, column D for Test I. Column E says BA (B Achieved!) if the individual has passed Test B. Now that you have the above information, let's get to the problem. I don't trust this and want to check whether data in column B matches with data in columns C,D and E. That is, I want to examine the string in column B and find out whether the figures in columns C,D and E are correct. All help is really appreciated. P.S. - I had exported this to MySQL via ODBC and that is why you are seeing those NULLs. I tried doing this in MySQL too, and really will accept a MySQL or an Excel solution, I don't have a preference. Edit : - See file with sample data

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  • Pruning data for better viewing on loglog graph - Matlab

    - by Geodesic
    Hi Guys, just wondering if anyone has any ideas about an issue I'm having. I have a fair amount of data that needs to be displayed on one graph. Two theoretical lines that are bold and solid are displayed on top, then 10 experimental data sets that converge to these lines are graphed, each using a different identifier (eg the + or o or a square etc). These graphs are on a log scale that goes up to 1e6. The first few decades of the graph (< 1e3) look fine, but as all the datasets converge ( 1e3) it's really difficult to see what data is what. There's over 1000 data points points per decade which I can prune linearly to an extent, but if I do this too much the lower end of the graph will suffer in resolution. What I'd like to do is prune logarithmically, strongest at the high end, working back to 0. My question is: how can I get a logarithmically scaled index vector rather than a linear one? My initial assumption was that as my data is lenear I could just use a linear index to prune, which lead to something like this (but for all decades): //%grab indicies per decade ind12 = find(y >= 1e1 & y <= 1e2); indlow = find(y < 1e2); indhigh = find(y > 1e4); ind23 = find(y >+ 1e2 & y <= 1e3); ind34 = find(y >+ 1e3 & y <= 1e4); //%We want ind12 indexes in this decade, find spacing tot23 = round(length(ind23)/length(ind12)); tot34 = round(length(ind34)/length(ind12)); //%grab ones to keep ind23keep = ind23(1):tot23:ind23(end); ind34keep = ind34(1):tot34:ind34(end); indnew = [indlow' ind23keep ind34keep indhigh']; loglog(x(indnew), y(indnew)); But this causes the prune to behave in a jumpy fashion obviously. Each decade has the number of points that I'd like, but as it's a linear distribution, the points tend to be clumped at the high end of the decade on the log scale. Any ideas on how I can do this?

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  • C++ Class Templates (Queue of a class)

    - by Dalton Conley
    Ok, so I have my basic linked Queue class with basic functions such as front(), empty() etc.. and I have transformed it into a template. Now, I also have a class called Student. Which holds 2 values: Student name and Student Id. I can print out a student with the following code.. Student me("My Name", 2); cout << me << endl; Here is my display function for student: void display(ostream &out) const { out << "Student Name: " << name << "\tStudent Id: " << id << "\tAddress: " << this << endl; } Now it works fine, you can see the basic output. Now I'm declaring a queue like so.. Queue<Student> qstu; Storing data in this queue is fine, I can add new values and such.. now what I'm trying to do is print out my whole queue of students with: cout << qstu << endl; But its simply returning an address.. here is my display function for queues. void display(ostream & out) const { NodePointer ptr; ptr = myFront; while(ptr != NULL) { out << ptr->data << " "; ptr = ptr->next; } out << endl; } Now, based on this, I assume ptr-data is a Student type and I would assume this would work, but it doesn't. Is there something I'm missing? Also, when I Try: ptr->data.display(out); (Making the assumtion ptr-data is of type student, it does not work which tells me I am doing something wrong. Help on this would be much appreciated!

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  • Save HashMap data into SQLite

    - by Matthew
    I'm Trying to save data from Json into SQLite. For now I keep the data from Json into HashMap. I already search it, and there's said use the ContentValues. But I still don't get it how to use it. I try looking at this question save data to SQLite from json object using Hashmap in Android, but it doesn't help a lot. Is there any option that I can use to save the data from HashMap into SQLite? Here's My code. MainHellobali.java // Hashmap for ListView ArrayList<HashMap<String, String>> all_itemList; @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main_helloballi); all_itemList = new ArrayList<HashMap<String, String>>(); // Calling async task to get json new getAllItem().execute(); } private class getAllItem extends AsyncTask<Void, Void, Void> { @Override protected Void doInBackground(Void... arg0) { // Creating service handler class instance ServiceHandler sh = new ServiceHandler(); // Making a request to url and getting response String jsonStr = sh.makeServiceCall(url, ServiceHandler.GET); Log.d("Response: ", "> " + jsonStr); if (jsonStr != null) { try { all_item = new JSONArray(jsonStr); // looping through All Contacts for (int i = 0; i < all_item.length(); i++) { JSONObject c = all_item.getJSONObject(i); String item_id = c.getString(TAG_ITEM_ID); String category_name = c.getString(TAG_CATEGORY_NAME); String item_name = c.getString(TAG_ITEM_NAME); // tmp hashmap for single contact HashMap<String, String> allItem = new HashMap<String, String>(); // adding each child node to HashMap key => value allItem.put(TAG_ITEM_ID, item_id); allItem.put(TAG_CATEGORY_NAME, category_name); allItem.put(TAG_ITEM_NAME, item_name); // adding contact to contact list all_itemList.add(allItem); } } catch (JSONException e) { e.printStackTrace(); } } else { Log.e("ServiceHandler", "Couldn't get any data from the url"); } return null; } } I have DatabasehHandler.java and AllItem.java too. I can put it in here if its necessary. Thanks before ** Add Edited Code ** // looping through All Contacts for (int i = 0; i < all_item.length(); i++) { JSONObject c = all_item.getJSONObject(i); String item_id = c.getString(TAG_ITEM_ID); String category_name = c.getString(TAG_CATEGORY_NAME); String item_name = c.getString(TAG_ITEM_NAME); DatabaseHandler databaseHandler = new DatabaseHandler(this); //error here "The Constructor DatabaseHandler(MainHellobali.getAllItem) is undefined }

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  • Summarising (permanently) data in a SQL table

    - by Cylindric
    Geetings, Stackers. I have a huge number of data-points in a SQL table, and I want to summarise them in a way reminiscent of RRD. Assuming a table such as ID | ENTITY_ID | SCORE_DATE | SCORE | SOME_OTHER_DATA ----+-----------+------------+-------+----------------- 1 | A00000001 | 01/01/2010 | 100 | some data 2 | A00000002 | 01/01/2010 | 105 | more data 3 | A00000003 | 01/01/2010 | 104 | various text ... | ......... | .......... | ..... | ... ... | A00009999 | 01/01/2010 | 101 | ... | A00000001 | 02/01/2010 | 104 | ... | A00000002 | 02/01/2010 | 119 | ... | A00000003 | 02/01/2010 | 119 | ... | ......... | .......... | ..... | ... | A00009999 | 02/01/2010 | 101 | arbitrary data ... | ......... | .......... | ..... | ... ... | A00000001 | 01/02/2010 | 104 | ... | A00000002 | 01/02/2010 | 119 | ... | A00000003 | 01/01/2010 | 119 | I want to end up with one record per entity, per month: ID | ENTITY_ID | SCORE_DATE | SCORE | ----+-----------+------------+-------+ ... | A00000001 | 01/01/2010 | 100 | ... | A00000002 | 01/01/2010 | 105 | ... | A00000003 | 01/01/2010 | 104 | ... | A00000001 | 01/02/2010 | 100 | ... | A00000002 | 01/02/2010 | 105 | ... | A00000003 | 01/02/2010 | 104 | (I Don't care about the SOME_OTHER_DATA - I'll pick something - either the first or last record probably.) What's an easy way of doing this on a regular basis, so that anything in the last calendar month is summarised in this way? At the moment my plan is kind of: For each EntityID For each month Find average score for all records in given month Update first record with results of previous step Delete all records that aren't the first I can't think of a neat way of doing it though, that doesn't involve lots of updates and iteration. This can either be done in a SQL Stored Procedure, or it can be incorporated into the .Net app that's generating this data, so the solution doesn't really need to be "one big SQL script", but can be :) (SQL-2005)

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  • Is there a recommended approach to handle saving data in response to within-site navigation without

    - by Carvell Fenton
    Hello all, Preamble to scope my question: I have a web app (or site, this is an internal LAN site) that uses jQuery and AJAX extensively to dynamically load the content section of the UI in the browser. A user navigates the app using a navigation menu. Clicking an item in the navigation menu makes an AJAX call to php, and php then returns the content that is used to populate the central content section. One of the pages served back by php has a table form, set up like a spreadsheet, that the user enters values into. This table is always kept in sync with data in the database. So, when the table is created, is it populated with the relevant database data. Then when the user makes a change in a "cell", that change immediately is written back to the database so the table and database are always in sync. This approach was take to reassure users that the data they entered has been saved (long story...), and to alleviate them from having to click a save button of some kind. So, this always in sync idea is great, except that a user can enter a value in a cell, not take focus out of the cell, and then take any number of actions that would cause that last value to be lost: e.g. navigate to another section of the site via the navigation menu, log out of the app, close the browser, etc. End of preamble, on to the issue: I initially thought that wasn't a problem, because I would just track what data was "dirty" or not saved, and then in the onunload event I would do a final write to the database. Herein lies the rub: because of my clever (or not so clever, not sure) use of AJAX and dynamically loading the content section, the user never actually leaves the original url, or page, when the above actions are taken, with the exception of closing the browser. Therefore, the onunload event does not fire, and I am back to losing the last data again. My question, is there a recommended way to handle figuring out if a person is navigating away from a "section" of your app when content is dynamically loaded this way? I can come up with a solution I think, that involves globals and tracking the currently viewed page, but I thought I would check if there might be a more elegant solution out there, or a change I could make in my design, that would make this work. Thanks in advance as always!

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  • jQuery Form plugin - no data from file upload?

    - by pojo
    I've been struggling a bit with the jQuery Form plugin. I want to create a file upload form that posts the data (JSON, from the chosen file) into a REST service exposed by a servlet. The URL for the POST is calculated from what the user chooses in a SELECT dropdown. When the upload is complete, I want to notify the user immediately, AJAX-style. The problem is that the POST header has a Content-Length of 0 and contains no data. I would appreciate any help! <html> <head> <script type="text/javascript" src="js/jquery-1.4.2.min.js">/* ppp */</script> <script type="text/javascript" src="js/jquery.form.js">/* ppp */</script> <script type="text/javascript"> function cb_beforesubmit (arr, $form, options) { // This should override the form's action attribute options.url = "/rest/services/" + $('#selectedaction')[0].value; return true; } function cb_success (rt, st, xhr, wf) { $('#response').html(rt + '<br>' + st + '<br>' + xhr); } $(document).ready(function () { var options = { beforeSubmit: cb_beforesubmit, success: cb_success, dataType: 'json', contentType: 'application/json', method: 'POST', }; $('#myform').ajaxForm(options); $.getJSON('/rest/services', function (data, ts) { for (var property in data) { if (typeof property == 'string') { $('#selectedaction').append('<option>' + property + '</option>'); } } }); }); </script> </head> <body> <form id="myform" action="/rest/services/foo1" method="POST" enctype="multipart/form-data"> <!-- The form does not seem to submit at all if I don't set action to a default value? !--> <select id="selectedaction"> <script type="text/javascript"> </script> </select> <input type="file" value="Choose"/> <input type="submit" value="Submit" /> </form> <div id="response"> </div> </body> </html>

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  • Create lags with a for-loop in R

    - by cptn
    I've got a data.frame with stock data of several companies (here it's only two). I want 10 additional columns in my stock data.frame df with lagged dates (from -5 days to +5 days) for both companies in my event data.frame. I'm using a for loop which is probably not the best solution, but it works partially. DATE <- c("01.01.2000","02.01.2000","03.01.2000","06.01.2000","07.01.2000","09.01.2000","10.01.2000","01.01.2000","02.01.2000","04.01.2000","06.01.2000","07.01.2000","09.01.2000","10.01.2000") RET <- c(-2.0,1.1,3,1.4,-0.2, 0.6, 0.1, -0.21, -1.2, 0.9, 0.3, -0.1,0.3,-0.12) COMP <- c("A","A","A","A","A","A","A","B","B","B","B","B","B","B") df <- data.frame(DATE, RET, COMP, stringsAsFactors=F) df # DATE RET COMP # 1 01.01.2000 -2.00 A # 2 02.01.2000 1.10 A # 3 03.01.2000 3.00 A # 4 06.01.2000 1.40 A # 5 07.01.2000 -0.20 A # 6 09.01.2000 0.60 A # 7 10.01.2000 0.10 A # 8 01.01.2000 -0.21 B # 9 02.01.2000 -1.20 B # 10 04.01.2000 0.90 B # 11 06.01.2000 0.30 B # 12 07.01.2000 -0.10 B # 13 09.01.2000 0.30 B # 14 10.01.2000 -0.12 B this loop works fine comp <- as.vector(unique(df$COMP)) mylist <- vector('list', length(comp)) # create lags in DATE for(i in 1:length(comp)) { print(i) comp_i <- comp[i] df_k <- df[df$COMP %in% comp_i, ] # all trading days of one firm df_k <- transform(df_k, DATEm1 = c(NA, head(DATE, -1)), DATEm2 = c(NA, NA, head(DATE, -2)), DATEm3 = c(NA, NA, NA, head(DATE, -3)), DATEm4 = c(NA, NA, NA, NA,head(DATE, -4)), DATEm5 = c(NA, NA, NA, NA, NA, head(DATE, -5)), DATEp1 = c(DATE[-1], NA)) #DATEp2 = c(DATE[-2], NA, NA), #DATEp3 = c(DATE[-3], NA, NA, NA), #DATEp4 = c(DATE[-4], NA, NA, NA, NA), #DATEp5 = c(DATE[-5], NA, NA, NA, NA, NA)) mylist[[i]] = df_k } df1 <- do.call(rbind, mylist) But if I add the lines with DATEp2, DATEp3, DATEp4, DATEp5. the code doesn't work. Can anybody tell me what I'm doing wrong here? Here the code with all the lagged dates. # create lags in DATE for(i in 1:length(comp)) { print(i) comp_i <- comp[i] df_k <- df[df$COMP %in% comp_i, ] # all trading days of one firm df_k <- transform(df_k, DATEm1 = c(NA, head(DATE, -1)), DATEm2 = c(NA, NA, head(DATE, -2)), DATEm3 = c(NA, NA, NA, head(DATE, -3)), DATEm4 = c(NA, NA, NA, NA,head(DATE, -4)), DATEm5 = c(NA, NA, NA, NA, NA, head(DATE, -5)), DATEp1 = c(DATE[-1], NA), DATEp2 = c(DATE[-2], NA, NA), DATEp3 = c(DATE[-3], NA, NA, NA), DATEp4 = c(DATE[-4], NA, NA, NA, NA), DATEp5 = c(DATE[-5], NA, NA, NA, NA, NA)) mylist[[i]] = df_k } df1 <- do.call(rbind, mylist)

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  • Two collections and a for loop. (Urgent help needed) Checking an object variable against an inputted

    - by Elliott
    Hi there, I'm relatively new to java, I'm certain the error is trivial. But can't for the life of me spot it. I have an end of term exam on monday and currently trying to get to grips with past papers! Anyway heregoes, in another method (ALGO_1) I search over elements of and check the value H_NAME equals a value entered in the main. When I attempt to run the code I get a null pointer exception, also upon trying to print (with System.out.println etc) the H_NAME value after each for loop in the snippet I also get a null statement returned to me. I am fairly certain that the collection is simply not storing the data gathered up by the Scanner. But then again when I check the collection size with size() it is about the right size. Either way I'm pretty lost and would appreciate the help. Main questions I guess to ask are: from the readBackground method is the data.add in the wrong place? is the snippet simply structured wrongly? oh and another point when I use System.out.println to check the Background object values name, starttime, increment etc they print out fine. Thanks in advance.(PS im guessing the formatting is terrible, apologies.) snippet of code: for(Hydro hd: hydros){ System.out.println(hd.H_NAME); for(Background back : backgs){ System.out.println(back.H_NAME); if(back.H_NAME.equals(hydroName)){ //get error here public static Collection<Background> readBackground(String url) throws IOException { URL u = new URL(url); InputStream is = u.openStream(); InputStreamReader isr = new InputStreamReader(is); BufferedReader b = new BufferedReader(isr); String line =""; Vector<Background> data = new Vector<Background>(); while((line = b.readLine())!= null){ Scanner s = new Scanner(line); String name = s.next(); double starttime = Double.parseDouble(s.next()); double increment = Double.parseDouble(s.next()); double sum = 0; double p = 0; double nterms = 0; while((s.hasNextDouble())){ p = Double.parseDouble(s.next()); nterms++; sum += p; } double pbmean = sum/nterms; Background SAMP = new Background(name, starttime, increment, pbmean); data.add(SAMP); } return data; } Edit/Delete Message

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  • Codeigniter: Retrieving data on button click with Ajax

    - by OllyTenerife
    I have a simple webpage which generates a random quote from my database upon refreshing the page. I wish to implement some AJAX and JQuery in order to generate quotes via the button rather than having to refresh the page. I have done some research but I am not sure how to implement this in Codeigniter. My current code is below... Page controller: public function index() { $this->load->model('quote_model', '', TRUE); $data['quotes'] = $this->quote_model->getRandom(); $this->load->view('home', $data); } The view: <?php include ('layout/header.php'); ?> <div class="container-fluid"> <div class="row"> <div class="col-md-4 quote-holder"> <img src="application/assets/alan1.jpg" alt="..." class="img-circle img-responsive"> <br> <blockquote class="text-center"> <p><?php echo $quotes[0]['quote']; ?></p> <footer class="text-center"><?php echo $quotes[0]['character_name']; ?> in <cite title="Source Title"><?php echo $quotes[0]['series_name']; ?></cite></footer> </blockquote> <button type="button" class="btn btn-default center-block">Generate quote</button> </div> </div> <?php include ('layout/footer.php'); ?> Here is the function in the model I am retrieving the data from: function getRandom() { $query = $this->db->query(" SELECT * FROM quotes, characters, series WHERE quotes.series_id = series.series_id AND quotes.character_id = characters.character_id ORDER BY rand() LIMIT 1 "); return $query->result_array(); } Should I simply be using something like this? $("button").click(function(){ $.get( "Page/index", function( data ) { //output data to page element... } });

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  • RequestFactoryEditorDriver getting edited data after flush

    - by Deanna
    Let me start with I have a solution, but I don't really think it is elegant. So, I am looking for a cleaner way to do this. I have an EntityProxy displayed in a view panel. The view panel is a RequestFactoryEditorDriver only using display mode. The user clicks on a data element and opens a popup editor to edit a data element of the EntityProxy with a few more bits of data than is displayed in the view panel. When the user saves the element I need the view panel to update the display. I ran into a problem because the RequestFactoryEditorDriver of the popup editor flow doesn't let you get to the edited data. The driver uses the passed in context and sends it to the server. The context returned out of flush only allows a Receiver even if you cast it to the type of context you stored in the editor driver in the edit() call. It doesn't appear to send and EntityProxyChanged event either, so I couldn't listen for that and update the display view. The solution I found was to change my domain object persist to return the newly saved entity. Then create the popup editor like this editor.getSaveButtonClickHandler().addClickHandler(createSaveHandler(driver, editor)); // initialize the Driver and edit the given text. driver.initialize(rf, editor); PlayerProfileCtx ctx = rf.playerProfile(); ctx.persist().using(playerProfile).with(driver.getPaths()) .to(new Receiver<PlayerProfileProxy>(){ @Override public void onSuccess(PlayerProfileProxy profile) { editor.hide(); playerProfile = profile; viewDriver.display(playerProfile); } }); driver.edit(playerProfile, ctx); editor.centerAndShow(); Then in the save handler I just fire the context I get from the flush. While this approach works, it doesn't seem right. It would seem I should subscribe to the entitychanged event in the display view and update the entity and the view from there. Also this approach saves the complete entity, not just the changed bits, which will increase bandwidth usage. What I would think should happen, is when you flush the entity it should 'optimistically' update the rf managed version of the entity and fire the entity proxy changed event. Only reverting the entity if something went wrong in the save. The actual save should only send the changed bits. In this way there isn't a need to refetch the whole entity and send that complete data over the wire twice. Is there a better solution?

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  • Getting level values from PCM raw data using Core Audio

    - by John
    I am trying to extract level data from a PCM audio file using core audio. I have gotten as far as (I believe) getting the raw data into a byte array (UInt8) but it is 16 bit PCM data and I am having trouble reading the data out. The input is from the iPhone microphone, which I have set as: [recordSetting setValue:[NSNumber numberWithInt:kAudioFormatLinearPCM] forKey:AVFormatIDKey]; [recordSetting setValue:[NSNumber numberWithFloat:44100.0] forKey:AVSampleRateKey]; [recordSetting setValue:[NSNumber numberWithInt:1] forKey:AVNumberOfChannelsKey]; [recordSetting setValue:[NSNumber numberWithInt:16] forKey:AVLinearPCMBitDepthKey]; [recordSetting setValue:[NSNumber numberWithBool:NO] forKey:AVLinearPCMIsBigEndianKey]; [recordSetting setValue:[NSNumber numberWithBool:NO] forKey:AVLinearPCMIsFloatKey]; which is obviously 16 bits. I am then trying to just print out a few values to see if they look reasonable for debug purposes below, and they do not look reasonable (many 0's). ExtAudioFileRef inputFile = NULL; ExtAudioFileOpenURL(track.location, &inputFile); AudioStreamBasicDescription inputFileFormat; UInt32 dataSize = (UInt32)sizeof(inputFileFormat); ExtAudioFileGetProperty(inputFile, kExtAudioFileProperty_FileDataFormat, &dataSize, &inputFileFormat); UInt8 *buffer = malloc(BUFFER_SIZE); AudioBufferList bufferList; bufferList.mNumberBuffers = 1; bufferList.mBuffers[0].mNumberChannels = 1; bufferList.mBuffers[0].mData = buffer; //pointer to buffer of audio data bufferList.mBuffers[0].mDataByteSize = BUFFER_SIZE; //number of bytes in the buffer while(true) { UInt32 frameCount = (bufferList.mBuffers[0].mDataByteSize / inputFileFormat.mBytesPerFrame); // Read a chunk of input OSStatus status = ExtAudioFileRead(inputFile, &frameCount, &bufferList); // If no frames were returned, conversion is finished if(0 == frameCount) break; NSLog(@"---"); int16_t *bufferl = &buffer; for(int i=0;i<100;i++){ //const int16_t *bufferl = bufferl[i]; NSLog(@"%d",bufferl[i]); } } Not sure what I am doing wrong, I think it has to do with reading the byte array. Sorry for the long code post...

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  • Windows Azure Service Bus Splitter and Aggregator

    - by Alan Smith
    This article will cover basic implementations of the Splitter and Aggregator patterns using the Windows Azure Service Bus. The content will be included in the next release of the “Windows Azure Service Bus Developer Guide”, along with some other patterns I am working on. I’ve taken the pattern descriptions from the book “Enterprise Integration Patterns” by Gregor Hohpe. I bought a copy of the book in 2004, and recently dusted it off when I started to look at implementing the patterns on the Windows Azure Service Bus. Gregor has also presented an session in 2011 “Enterprise Integration Patterns: Past, Present and Future” which is well worth a look. I’ll be covering more patterns in the coming weeks, I’m currently working on Wire-Tap and Scatter-Gather. There will no doubt be a section on implementing these patterns in my “SOA, Connectivity and Integration using the Windows Azure Service Bus” course. There are a number of scenarios where a message needs to be divided into a number of sub messages, and also where a number of sub messages need to be combined to form one message. The splitter and aggregator patterns provide a definition of how this can be achieved. This section will focus on the implementation of basic splitter and aggregator patens using the Windows Azure Service Bus direct programming model. In BizTalk Server receive pipelines are typically used to implement the splitter patterns, with sequential convoy orchestrations often used to aggregate messages. In the current release of the Service Bus, there is no functionality in the direct programming model that implements these patterns, so it is up to the developer to implement them in the applications that send and receive messages. Splitter A message splitter takes a message and spits the message into a number of sub messages. As there are different scenarios for how a message can be split into sub messages, message splitters are implemented using different algorithms. The Enterprise Integration Patterns book describes the splatter pattern as follows: How can we process a message if it contains multiple elements, each of which may have to be processed in a different way? Use a Splitter to break out the composite message into a series of individual messages, each containing data related to one item. The Enterprise Integration Patterns website provides a description of the Splitter pattern here. In some scenarios a batch message could be split into the sub messages that are contained in the batch. The splitting of a message could be based on the message type of sub-message, or the trading partner that the sub message is to be sent to. Aggregator An aggregator takes a stream or related messages and combines them together to form one message. The Enterprise Integration Patterns book describes the aggregator pattern as follows: How do we combine the results of individual, but related messages so that they can be processed as a whole? Use a stateful filter, an Aggregator, to collect and store individual messages until a complete set of related messages has been received. Then, the Aggregator publishes a single message distilled from the individual messages. The Enterprise Integration Patterns website provides a description of the Aggregator pattern here. A common example of the need for an aggregator is in scenarios where a stream of messages needs to be combined into a daily batch to be sent to a legacy line-of-business application. The BizTalk Server EDI functionality provides support for batching messages in this way using a sequential convoy orchestration. Scenario The scenario for this implementation of the splitter and aggregator patterns is the sending and receiving of large messages using a Service Bus queue. In the current release, the Windows Azure Service Bus currently supports a maximum message size of 256 KB, with a maximum header size of 64 KB. This leaves a safe maximum body size of 192 KB. The BrokeredMessage class will support messages larger than 256 KB; in fact the Size property is of type long, implying that very large messages may be supported at some point in the future. The 256 KB size restriction is set in the service bus components that are deployed in the Windows Azure data centers. One of the ways of working around this size restriction is to split large messages into a sequence of smaller sub messages in the sending application, send them via a queue, and then reassemble them in the receiving application. This scenario will be used to demonstrate the pattern implementations. Implementation The splitter and aggregator will be used to provide functionality to send and receive large messages over the Windows Azure Service Bus. In order to make the implementations generic and reusable they will be implemented as a class library. The splitter will be implemented in the LargeMessageSender class and the aggregator in the LargeMessageReceiver class. A class diagram showing the two classes is shown below. Implementing the Splitter The splitter will take a large brokered message, and split the messages into a sequence of smaller sub-messages that can be transmitted over the service bus messaging entities. The LargeMessageSender class provides a Send method that takes a large brokered message as a parameter. The implementation of the class is shown below; console output has been added to provide details of the splitting operation. public class LargeMessageSender {     private static int SubMessageBodySize = 192 * 1024;     private QueueClient m_QueueClient;       public LargeMessageSender(QueueClient queueClient)     {         m_QueueClient = queueClient;     }       public void Send(BrokeredMessage message)     {         // Calculate the number of sub messages required.         long messageBodySize = message.Size;         int nrSubMessages = (int)(messageBodySize / SubMessageBodySize);         if (messageBodySize % SubMessageBodySize != 0)         {             nrSubMessages++;         }           // Create a unique session Id.         string sessionId = Guid.NewGuid().ToString();         Console.WriteLine("Message session Id: " + sessionId);         Console.Write("Sending {0} sub-messages", nrSubMessages);           Stream bodyStream = message.GetBody<Stream>();         for (int streamOffest = 0; streamOffest < messageBodySize;             streamOffest += SubMessageBodySize)         {                                     // Get the stream chunk from the large message             long arraySize = (messageBodySize - streamOffest) > SubMessageBodySize                 ? SubMessageBodySize : messageBodySize - streamOffest;             byte[] subMessageBytes = new byte[arraySize];             int result = bodyStream.Read(subMessageBytes, 0, (int)arraySize);             MemoryStream subMessageStream = new MemoryStream(subMessageBytes);               // Create a new message             BrokeredMessage subMessage = new BrokeredMessage(subMessageStream, true);             subMessage.SessionId = sessionId;               // Send the message             m_QueueClient.Send(subMessage);             Console.Write(".");         }         Console.WriteLine("Done!");     }} The LargeMessageSender class is initialized with a QueueClient that is created by the sending application. When the large message is sent, the number of sub messages is calculated based on the size of the body of the large message. A unique session Id is created to allow the sub messages to be sent as a message session, this session Id will be used for correlation in the aggregator. A for loop in then used to create the sequence of sub messages by creating chunks of data from the stream of the large message. The sub messages are then sent to the queue using the QueueClient. As sessions are used to correlate the messages, the queue used for message exchange must be created with the RequiresSession property set to true. Implementing the Aggregator The aggregator will receive the sub messages in the message session that was created by the splitter, and combine them to form a single, large message. The aggregator is implemented in the LargeMessageReceiver class, with a Receive method that returns a BrokeredMessage. The implementation of the class is shown below; console output has been added to provide details of the splitting operation.   public class LargeMessageReceiver {     private QueueClient m_QueueClient;       public LargeMessageReceiver(QueueClient queueClient)     {         m_QueueClient = queueClient;     }       public BrokeredMessage Receive()     {         // Create a memory stream to store the large message body.         MemoryStream largeMessageStream = new MemoryStream();           // Accept a message session from the queue.         MessageSession session = m_QueueClient.AcceptMessageSession();         Console.WriteLine("Message session Id: " + session.SessionId);         Console.Write("Receiving sub messages");           while (true)         {             // Receive a sub message             BrokeredMessage subMessage = session.Receive(TimeSpan.FromSeconds(5));               if (subMessage != null)             {                 // Copy the sub message body to the large message stream.                 Stream subMessageStream = subMessage.GetBody<Stream>();                 subMessageStream.CopyTo(largeMessageStream);                   // Mark the message as complete.                 subMessage.Complete();                 Console.Write(".");             }             else             {                 // The last message in the sequence is our completeness criteria.                 Console.WriteLine("Done!");                 break;             }         }                     // Create an aggregated message from the large message stream.         BrokeredMessage largeMessage = new BrokeredMessage(largeMessageStream, true);         return largeMessage;     } }   The LargeMessageReceiver initialized using a QueueClient that is created by the receiving application. The receive method creates a memory stream that will be used to aggregate the large message body. The AcceptMessageSession method on the QueueClient is then called, which will wait for the first message in a message session to become available on the queue. As the AcceptMessageSession can throw a timeout exception if no message is available on the queue after 60 seconds, a real-world implementation should handle this accordingly. Once the message session as accepted, the sub messages in the session are received, and their message body streams copied to the memory stream. Once all the messages have been received, the memory stream is used to create a large message, that is then returned to the receiving application. Testing the Implementation The splitter and aggregator are tested by creating a message sender and message receiver application. The payload for the large message will be one of the webcast video files from http://www.cloudcasts.net/, the file size is 9,697 KB, well over the 256 KB threshold imposed by the Service Bus. As the splitter and aggregator are implemented in a separate class library, the code used in the sender and receiver console is fairly basic. The implementation of the main method of the sending application is shown below.   static void Main(string[] args) {     // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Use the MessagingFactory to create a queue client     QueueClient queueClient = factory.CreateQueueClient(AccountDetails.QueueName);       // Open the input file.     FileStream fileStream = new FileStream(AccountDetails.TestFile, FileMode.Open);       // Create a BrokeredMessage for the file.     BrokeredMessage largeMessage = new BrokeredMessage(fileStream, true);       Console.WriteLine("Sending: " + AccountDetails.TestFile);     Console.WriteLine("Message body size: " + largeMessage.Size);     Console.WriteLine();         // Send the message with a LargeMessageSender     LargeMessageSender sender = new LargeMessageSender(queueClient);     sender.Send(largeMessage);       // Close the messaging facory.     factory.Close();  } The implementation of the main method of the receiving application is shown below. static void Main(string[] args) {       // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Use the MessagingFactory to create a queue client     QueueClient queueClient = factory.CreateQueueClient(AccountDetails.QueueName);       // Create a LargeMessageReceiver and receive the message.     LargeMessageReceiver receiver = new LargeMessageReceiver(queueClient);     BrokeredMessage largeMessage = receiver.Receive();       Console.WriteLine("Received message");     Console.WriteLine("Message body size: " + largeMessage.Size);       string testFile = AccountDetails.TestFile.Replace(@"\In\", @"\Out\");     Console.WriteLine("Saving file: " + testFile);       // Save the message body as a file.     Stream largeMessageStream = largeMessage.GetBody<Stream>();     largeMessageStream.Seek(0, SeekOrigin.Begin);     FileStream fileOut = new FileStream(testFile, FileMode.Create);     largeMessageStream.CopyTo(fileOut);     fileOut.Close();       Console.WriteLine("Done!"); } In order to test the application, the sending application is executed, which will use the LargeMessageSender class to split the message and place it on the queue. The output of the sender console is shown below. The console shows that the body size of the large message was 9,929,365 bytes, and the message was sent as a sequence of 51 sub messages. When the receiving application is executed the results are shown below. The console application shows that the aggregator has received the 51 messages from the message sequence that was creating in the sending application. The messages have been aggregated to form a massage with a body of 9,929,365 bytes, which is the same as the original large message. The message body is then saved as a file. Improvements to the Implementation The splitter and aggregator patterns in this implementation were created in order to show the usage of the patterns in a demo, which they do quite well. When implementing these patterns in a real-world scenario there are a number of improvements that could be made to the design. Copying Message Header Properties When sending a large message using these classes, it would be great if the message header properties in the message that was received were copied from the message that was sent. The sending application may well add information to the message context that will be required in the receiving application. When the sub messages are created in the splitter, the header properties in the first message could be set to the values in the original large message. The aggregator could then used the values from this first sub message to set the properties in the message header of the large message during the aggregation process. Using Asynchronous Methods The current implementation uses the synchronous send and receive methods of the QueueClient class. It would be much more performant to use the asynchronous methods, however doing so may well affect the sequence in which the sub messages are enqueued, which would require the implementation of a resequencer in the aggregator to restore the correct message sequence. Handling Exceptions In order to keep the code readable no exception handling was added to the implementations. In a real-world scenario exceptions should be handled accordingly.

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  • marshal data too short!!!

    - by Nitin Garg
    My application requires to keep large data objects in session. There are like 3-4 data objects each created by parsing a csv containing 150 X 20 cells having strings of 3-4 characters. My application shows this error- "marshal data too short". I tried this- Deleting the old session table. Deleting the old migration for session table. Creating a new migration using rake db: sessions:create. editing the migration manually, changing "text: data" to "longtext: data". running the migration using rake db: migrate. now when i open my application, i see this page- link text please someone help me, this is getting on my nerves!! other details of application-- In view "index.html.erb"- There is a link that makes ajax call to an action in controller, that action parses large csv file and makes an object out of it. this object is stored in session. ERROR LOG ` ArgumentError in Scoring#index Showing app/views/scoring/index.html.erb where line #4 raised: marshal data too short Extracted source (around line #4): 1: 2: 3: 4: <%= link_to_remote "get csv file", 5: :url = { :action = 'show_static_1' }, 6: :update = "static_score", 7: :complete = "$('static_score').update(request.responseText)" % Application Trace | Framework Trace | Full Trace /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:71:in load' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:71:in unmarshal' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:110:in data' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:292:in get_session' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/base.rb:1448:in silence' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:288:in get_session' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:168:in load_session' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:62:in send' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:62:in load!' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:70:in stale_session_check!' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:61:in load!' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:28:in []' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/request_forgery_protection.rb:106:in form_authenticity_token' (eval):2:in send' (eval):2:in form_authenticity_token' app/views/scoring/index.html.erb:4:in _run_erb_app47views47scoring47index46html46erb' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:71:in load' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:71:in unmarshal' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:110:in data' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:292:in get_session' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/base.rb:1448:in silence' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:288:in get_session' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:168:in load_session' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:62:in send' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:62:in load!' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:70:in stale_session_check!' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:61:in load!' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:28:in []' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/request_forgery_protection.rb:106:in form_authenticity_token' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/helpers/prototype_helper.rb:1065:in options_for_ajax' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/helpers/prototype_helper.rb:449:in remote_function' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/helpers/prototype_helper.rb:256:in link_to_remote' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/renderable.rb:34:in send' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/renderable.rb:34:in render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/base.rb:306:in with_template' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/renderable.rb:30:in render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/template.rb:205:in render_template' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/base.rb:265:in render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/base.rb:348:in _render_with_layout' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/base.rb:262:in render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:1250:in render_for_file' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:945:in render_without_benchmark' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/benchmarking.rb:51:in render' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:17:in ms' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:10:in realtime' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:17:in ms' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/benchmarking.rb:51:in render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:1326:in default_render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:1338:in perform_action_without_filters' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/filters.rb:617:in call_filters' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/filters.rb:610:in perform_action_without_benchmark' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/benchmarking.rb:68:in perform_action_without_rescue' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:17:in ms' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:10:in realtime' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:17:in ms' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/benchmarking.rb:68:in perform_action_without_rescue' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/rescue.rb:160:in perform_action_without_flash' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/flash.rb:146:in perform_action' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:532:in send' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:532:in process_without_filters' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/filters.rb:606:in process' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:391:in process' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:386:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/routing/route_set.rb:437:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/dispatcher.rb:87:in dispatch' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/dispatcher.rb:121:in _call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/dispatcher.rb:130:in build_middleware_stack' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/string_coercion.rb:25:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/string_coercion.rb:25:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/head.rb:9:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/methodoverride.rb:24:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/params_parser.rb:15:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:122:in call' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/query_cache.rb:29:in call' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_adapters/abstract/query_cache.rb:34:in cache' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/query_cache.rb:9:in cache' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/query_cache.rb:28:in call' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_adapters/abstract/connection_pool.rb:361:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/failsafe.rb:26:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in synchronize' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/dispatcher.rb:114:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/reloader.rb:34:in run' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/dispatcher.rb:108:in call' /usr/lib/ruby/gems/1.8/gems/rails-2.3.5/lib/rails/rack/static.rb:31:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:46:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in each' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in call' /usr/lib/ruby/gems/1.8/gems/rails-2.3.5/lib/rails/rack/log_tailer.rb:17:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/content_length.rb:13:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/chunked.rb:15:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/mongrel.rb:64:in process' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:159:in process_client' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:158:in each' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:158:in process_client' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:285:in run' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:285:in initialize' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:285:in new' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:285:in run' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:268:in initialize' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:268:in new' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:268:in run' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/mongrel.rb:34:in run' /usr/lib/ruby/gems/1.8/gems/rails-2.3.5/lib/commands/server.rb:111 /usr/local/lib/site_ruby/1.8/rubygems/custom_require.rb:31:in gem_original_require' /usr/local/lib/site_ruby/1.8/rubygems/custom_require.rb:31:in require' script/server:3 /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:71:in load' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:71:in unmarshal' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:110:in data' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:292:in get_session' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/base.rb:1448:in silence' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/session_store.rb:288:in get_session' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:168:in load_session' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:62:in send' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:62:in load!' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:70:in stale_session_check!' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:61:in load!' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:28:in []' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/request_forgery_protection.rb:106:in form_authenticity_token' (eval):2:in send' (eval):2:in form_authenticity_token' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/helpers/prototype_helper.rb:1065:in options_for_ajax' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/helpers/prototype_helper.rb:449:in remote_function' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/helpers/prototype_helper.rb:256:in link_to_remote' /app/views/scoring/index.html.erb:4:in _run_erb_app47views47scoring47index46html46erb' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/renderable.rb:34:in send' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/renderable.rb:34:in render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/base.rb:306:in with_template' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/renderable.rb:30:in render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/template.rb:205:in render_template' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/base.rb:265:in render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/base.rb:348:in _render_with_layout' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_view/base.rb:262:in render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:1250:in render_for_file' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:945:in render_without_benchmark' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/benchmarking.rb:51:in render' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:17:in ms' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:10:in realtime' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:17:in ms' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/benchmarking.rb:51:in render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:1326:in default_render' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:1338:in perform_action_without_filters' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/filters.rb:617:in call_filters' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/filters.rb:610:in perform_action_without_benchmark' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/benchmarking.rb:68:in perform_action_without_rescue' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:17:in ms' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:10:in realtime' /usr/lib/ruby/gems/1.8/gems/activesupport-2.3.5/lib/active_support/core_ext/benchmark.rb:17:in ms' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/benchmarking.rb:68:in perform_action_without_rescue' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/rescue.rb:160:in perform_action_without_flash' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/flash.rb:146:in perform_action' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:532:in send' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:532:in process_without_filters' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/filters.rb:606:in process' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:391:in process' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/base.rb:386:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/routing/route_set.rb:437:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/dispatcher.rb:87:in dispatch' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/dispatcher.rb:121:in _call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/dispatcher.rb:130:in build_middleware_stack' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/string_coercion.rb:25:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/string_coercion.rb:25:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/head.rb:9:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/methodoverride.rb:24:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/params_parser.rb:15:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/session/abstract_store.rb:122:in call' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/query_cache.rb:29:in call' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_adapters/abstract/query_cache.rb:34:in cache' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/query_cache.rb:9:in cache' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/query_cache.rb:28:in call' /usr/lib/ruby/gems/1.8/gems/activerecord-2.3.5/lib/active_record/connection_adapters/abstract/connection_pool.rb:361:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/failsafe.rb:26:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in synchronize' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/lock.rb:11:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/dispatcher.rb:114:in call' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/reloader.rb:34:in run' /usr/lib/ruby/gems/1.8/gems/actionpack-2.3.5/lib/action_controller/dispatcher.rb:108:in call' /usr/lib/ruby/gems/1.8/gems/rails-2.3.5/lib/rails/rack/static.rb:31:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:46:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in each' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/urlmap.rb:40:in call' /usr/lib/ruby/gems/1.8/gems/rails-2.3.5/lib/rails/rack/log_tailer.rb:17:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/content_length.rb:13:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/chunked.rb:15:in call' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/mongrel.rb:64:in process' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:159:in process_client' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:158:in each' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:158:in process_client' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:285:in run' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:285:in initialize' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:285:in new' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:285:in run' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:268:in initialize' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:268:in new' /usr/lib/ruby/gems/1.8/gems/mongrel-1.1.5/lib/mongrel.rb:268:in run' /usr/lib/ruby/gems/1.8/gems/rack-1.0.1/lib/rack/handler/mongrel.rb:34:in run' /usr/lib/ruby/gems/1.8/gems/rails-2.3.5/lib/commands/server.rb:111 /usr/local/lib/site_ruby/1.8/rubygems/custom_require.rb:31:in gem_original_require' /usr/local/lib/site_ruby/1.8/rubygems/custom_require.rb:31:in `require' script/server:3 Request Parameters: None Show session dump Response Headers: {"Content-Type"="text/html", "Cache-Control"="no-cache"} `

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  • Simple Self Join Query Bad Performance

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NonParallelPlanReason="NoParallelPlansInDesktopOrExpressEdition" CachedPlanSize="24" CompileTime="13" CompileCPU="13" CompileMemory="424"> <MemoryGrantInfo SerialRequiredMemory="0" SerialDesiredMemory="0" /> <OptimizerHardwareDependentProperties EstimatedAvailableMemoryGrant="52199" EstimatedPagesCached="14561" EstimatedAvailableDegreeOfParallelism="4" /> <RelOp AvgRowSize="55" EstimateCPU="1E-05" EstimateIO="0" EstimateRebinds="0" EstimateRewinds="0" EstimatedExecutionMode="Row" EstimateRows="100" LogicalOp="Compute Scalar" NodeId="0" Parallel="false" PhysicalOp="Compute Scalar" EstimatedTotalSubtreeCost="0.0263655"> <OutputList> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" 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/> </RunTimeInformation> <NestedLoops Optimized="false"> <OuterReferences> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </OuterReferences> <RelOp AvgRowSize="23" EstimateCPU="1.80448" EstimateIO="3.76461" EstimateRebinds="0" EstimateRewinds="0" EstimatedExecutionMode="Row" EstimateRows="1" LogicalOp="Clustered Index Scan" NodeId="3" Parallel="false" PhysicalOp="Clustered Index Scan" EstimatedTotalSubtreeCost="0.0032831" TableCardinality="1640290"> <OutputList> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </OutputList> <RunTimeInformation> <RunTimeCountersPerThread Thread="0" ActualRows="15225" ActualEndOfScans="0" ActualExecutions="1" /> </RunTimeInformation> <IndexScan Ordered="false" ForcedIndex="false" ForceScan="false" NoExpandHint="false"> <DefinedValues> <DefinedValue> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> </DefinedValue> <DefinedValue> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </DefinedValue> </DefinedValues> <Object Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Index="[PK_Data]" Alias="[e]" IndexKind="Clustered" /> </IndexScan> </RelOp> <RelOp AvgRowSize="23" EstimateCPU="0.902317" EstimateIO="1.88387" EstimateRebinds="1" EstimateRewinds="0" EstimatedExecutionMode="Row" EstimateRows="100" LogicalOp="Clustered Index Seek" NodeId="4" Parallel="false" PhysicalOp="Clustered Index Seek" EstimatedTotalSubtreeCost="0.0263655" TableCardinality="1640290"> <OutputList> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> </OutputList> <RunTimeInformation> <RunTimeCountersPerThread Thread="0" ActualRows="100" ActualEndOfScans="15224" ActualExecutions="15225" /> </RunTimeInformation> <IndexScan Ordered="true" ScanDirection="FORWARD" ForcedIndex="false" ForceSeek="false" ForceScan="false" NoExpandHint="false" Storage="RowStore"> <DefinedValues> <DefinedValue> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> </DefinedValue> <DefinedValue> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> </DefinedValue> </DefinedValues> <Object Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Index="[PK_Data]" Alias="[s]" IndexKind="Clustered" /> <SeekPredicates> <SeekPredicateNew> <SeekKeys> <EndRange ScanType="LT"> <RangeColumns> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> </RangeColumns> <RangeExpressions> <ScalarOperator ScalarString="[SomeDb].[dbo].[Data].[x] as [e].[x]"> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> </Identifier> </ScalarOperator> </RangeExpressions> </EndRange> </SeekKeys> </SeekPredicateNew> </SeekPredicates> <Predicate> <ScalarOperator ScalarString="([SomeDb].[dbo].[Data].[x] as [e].[x]-[SomeDb].[dbo].[Data].[x] as [s].[x])&gt;=($100.0000) AND ([SomeDb].[dbo].[Data].[x] as [e].[x]-[SomeDb].[dbo].[Data].[x] as [s].[x])&lt;=($105.0000) AND ([SomeDb].[dbo].[Data].[y] as [e].[y]-[SomeDb].[dbo].[Data].[y] as [s].[y])&gt;(0.01)"> <Logical Operation="AND"> <ScalarOperator> <Compare CompareOp="GE"> <ScalarOperator> <Arithmetic Operation="SUB"> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> </Identifier> </ScalarOperator> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> </Identifier> </ScalarOperator> </Arithmetic> </ScalarOperator> <ScalarOperator> <Const ConstValue="($100.0000)" /> </ScalarOperator> </Compare> </ScalarOperator> <ScalarOperator> <Compare CompareOp="LE"> <ScalarOperator> <Arithmetic Operation="SUB"> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="x" /> </Identifier> </ScalarOperator> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="x" /> </Identifier> </ScalarOperator> </Arithmetic> </ScalarOperator> <ScalarOperator> <Const ConstValue="($105.0000)" /> </ScalarOperator> </Compare> </ScalarOperator> <ScalarOperator> <Compare CompareOp="GT"> <ScalarOperator> <Arithmetic Operation="SUB"> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[e]" Column="y" /> </Identifier> </ScalarOperator> <ScalarOperator> <Identifier> <ColumnReference Database="[SomeDb]" Schema="[dbo]" Table="[Data]" Alias="[s]" Column="y" /> </Identifier> </ScalarOperator> </Arithmetic> </ScalarOperator> <ScalarOperator> <Const ConstValue="(0.01)" /> </ScalarOperator> </Compare> </ScalarOperator> </Logical> </ScalarOperator> </Predicate> </IndexScan> </RelOp> </NestedLoops> </RelOp> </Top> </RelOp> </ComputeScalar> </RelOp> </QueryPlan> </StmtSimple> </Statements> </Batch> </BatchSequence> </ShowPlanXML>

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  • python unhashable type - posting xml data

    - by eterry28
    First, I'm not a python programmer. I'm an old C dog that's learned new Java and PHP tricks, but python looks like a pretty cool language. I'm getting an error that I can't quite follow. The error follows the code below. import httplib, urllib url = "pdb-services-beta.nipr.com" xml = '<?xml version="1.0"?><!DOCTYPE SCB_Request SYSTEM "http://www.nipr.com/html/SCB_XML_Request.dtd"><SCB_Request Request_Type="Create_Report"><SCB_Login_Data CustomerID="someuser" Passwd="somepass" /><SCB_Create_Report_Request Title=""><Producer_List><NIPR_Num_List_XML><NIPR_Num NIPR_Num="8980608" /><NIPR_Num NIPR_Num="7597855" /><NIPR_Num NIPR_Num="10166016" /></NIPR_Num_List_XML></Producer_List></SCB_Create_Report_Request></SCB_Request>' params = {} params['xmldata'] = xml headers = {} headers['Content-type'] = 'text/xml' headers['Accept'] = '*/*' headers['Content-Length'] = "%d" % len(xml) connection = httplib.HTTPSConnection(url) connection.set_debuglevel(1) connection.request("POST", "/pdb-xml-reports/scb_xmlclient.cgi", params, headers) response = connection.getresponse() print response.status, response.reason data = response.read() print data connection.close Here's the error: Traceback (most recent call last): File "C:\Python27\tutorial.py", line 14, in connection.request("POST", "/pdb-xml-reports/scb_xmlclient.cgi", params, headers) File "C:\Python27\lib\httplib.py", line 958, in request self._send_request(method, url, body, headers) File "C:\Python27\lib\httplib.py", line 992, in _send_request self.endheaders(body) File "C:\Python27\lib\httplib.py", line 954, in endheaders self._send_output(message_body) File "C:\Python27\lib\httplib.py", line 818, in _send_output self.send(message_body) File "C:\Python27\lib\httplib.py", line 790, in send self.sock.sendall(data) File "C:\Python27\lib\ssl.py", line 229, in sendall v = self.send(data[count:]) TypeError: unhashable type My log file says that the xmldata parameter is empty. Any ideas?

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  • Changing or accessing a control in a Silverlight Data Form Edit Template

    - by Aim Kai
    I came across an interesting issue today when playing around with the Silverlight Data Form control. I wanted to change the visibility of a particular control inside the bound edit template.. see xaml below. <df:DataForm x:Name="NoteFormEdit" ItemsSource="{Binding Mode=OneWay}" AutoGenerateFields="True" AutoEdit="True" AutoCommit="False" CommitButtonContent="Save" CancelButtonContent="Cancel" CommandButtonsVisibility="Commit" LabelPosition="Top" ScrollViewer.VerticalScrollBarVisibility="Disabled" EditEnded="NoteForm_EditEnded"> <df:DataForm.EditTemplate> <DataTemplate> <StackPanel> <df:DataField> <TextBox Text="{Binding Title, Mode=TwoWay}"/> </df:DataField> <df:DataField> <TextBox Text="{Binding Description, Mode=TwoWay}" AcceptsReturn="True" HorizontalScrollBarVisibility="Auto" VerticalScrollBarVisibility="Auto" Height="" TextWrapping="Wrap" SizeChanged="TextBox_SizeChanged"/> </df:DataField> <df:DataField> <TextBlock Text="{Binding Username}" x:Name="tbUsername"/> </df:DataField> <df:DataField> <TextBlock Text="{Binding DateCreated, Converter={StaticResource DateConverter}}" x:Name="tbDateCreated"/> </df:DataField> </StackPanel> </DataTemplate> </df:DataForm.EditTemplate> </df:DataForm> I wanted to depending on how the container of this data form was accessed to disable or hide the last two data fields. I did a work around which had two data forms but this is a bit excessive! Does anyone know how to access these controls inside the edit template?

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  • Ado.net dataservices BeginExecuteBatch call works on development fails on production server with Obj

    - by Mike Morley
    We have an ado.net dataservices 1.0 call that is being passed to a [WebGet] service operation as a batch through BeginExecuteBatch. Everything works perfectly on our development server - we have the project configured to use IIS instead of the cassini web server to make it as close to our production server as we can. When we publish to the production server, all the service operations work perfectly except the batch call, which fails with Object does not match target type. . I have not been able to find any cause for this. I can even run a single non-batch style GET operation against the [WebGet] service by copying the URL used in the batch and pasting it in a browser. I have not been able to find any information to help me solve this - any guidance would be most appreciated. Thanks, Mike M. Error message From Fiddler: HTTP/1.1 500 Internal Server Error Content-Type: application/xml DataServiceVersion: 1.0; An error occurred while processing this request. Object does not match target type. System.Reflection.TargetException at System.Reflection.RuntimeMethodInfo.CheckConsistency(Object target) at System.Reflection.RuntimeMethodInfo.Invoke(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture, Boolean skipVisibilityChecks) at System.Reflection.RuntimeMethodInfo.Invoke(Object obj, BindingFlags invokeAttr, Binder binder, Object[] parameters, CultureInfo culture) at System.Data.Services.RequestUriProcessor.CreateFirstSegment(IDataService service, String identifier, Boolean checkRights, String queryPortion, Boolean& crossReferencingUrl) at System.Data.Services.RequestUriProcessor.CreateSegments(String[] segments, IDataService service) at System.Data.Services.RequestUriProcessor.ProcessRequestUri(Uri absoluteRequestUri, IDataService service) at System.Data.Services.DataService`1.BatchDataService.HandleBatchContent(Stream responseStream)

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  • Drag String data from My Cocoa App to Third-Party Cocoa App

    - by Woodster
    Hello, I want to drag a row from my tableview and drop it into any other NSTextField in Mac OS X 10.6, and have a string of text be dropped. Drag and drop already works within my app (between a NSTableView and an NSBrowser), but I have had no success putting any data on the pasteboard that can accepted by apps other than the source application. Here's the code I tried, which I thought would be enough to get hte word "hello" to be 'pasted' when I drop into some other NSTextField: -(BOOL) tableView:(NSTableView *)tableView writeRowsWithIndexes:(NSIndexSet *)rowIndexes toPasteboard:(NSPasteboard *)pboard { [pboard declareTypes:[NSArray arrayWithObject:NSStringPboardType] owner:self]; [pboard setString:@"hello" forType:NSStringPboardType]; return YES; } //-- I never get the cursor that shows me the drop will be accepted, and it just doesn't work. Things I've tried: Using the 10.5 version of the Pasteboard identifier, NSStringPBoardType Using the 10.6 version, NSPasteboardTypeString. Setting the owner = nil, since I'm not providing the data lazily. Using the keyed archiver: [pboard setData:[NSKeyedArchiver archivedRootObject:@"Hello!!"]] None of the above have worked. I think I have the concepts correct: "Encode data, tell the pasteboard what you've got, then give it the data", but since other apps don't recognize it, I suspect I'm not telling the pasteboard the correct datatype. Where am I going wrong? Thanks, Woody

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  • SmartGWT with Rest Data Source Error

    - by Holograham
    I am getting the following error when retrieving data from a rest data source 00:00:52.439 [ERROR] 01:46:57.001:RDQ1:WARN:ResultSet:isc_ResultSet_1 (created by: isc_CustomerDocGrid_0):get: invalid index -1 com.smartgwt.client.core.JsObject$SGWT_WARN: 01:46:57.001:RDQ1:WARN:ResultSet:isc_ResultSet_1 (created by: isc_CustomerDocGrid_0):get: invalid index -1 at sun.reflect.NativeConstructorAccessorImpl.newInsta nce0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInsta nce(NativeConstructorAccessorImpl.java:39) at sun.reflect.DelegatingConstructorAccessorImpl.newI nstance(DelegatingConstructorAccessorImpl.java:27) at java.lang.reflect.Constructor.newInstance(Construc tor.java:513) at com.google.gwt.dev.shell.MethodAdaptor.invoke(Meth odAdaptor.java:105) at com.google.gwt.dev.shell.MethodDispatch.invoke(Met hodDispatch.java:71) at com.google.gwt.dev.shell.OophmSessionHandler.invok e(OophmSessionHandler.java:157) at com.google.gwt.dev.shell.BrowserChannel.reactToMes sages(BrowserChannel.java:1668) at com.google.gwt.dev.shell.BrowserChannelServer.proc essConnection(BrowserChannelServer.java:401) at com.google.gwt.dev.shell.BrowserChannelServer.run( BrowserChannelServer.java:222) at java.lang.Thread.run(Thread.java:619) Here is my data source (it extends RestDataSource) Code: public CustomerDataSource(String id) { setID(id); setDataFormat(DSDataFormat.XML); setRecordXPath("customerdoc"); setOperationBindings(); OperationBinding fetch = new OperationBinding(); fetch.setOperationType(DSOperationType.FETCH); fetch.setDataProtocol(DSProtocol.GETPARAMS); setOperationBindings(fetch); setDataURL("/customer"); I know my web service is returning data as I can display the XML file in my browser. This doesnt appear to be a parse error (i have seen those before). Not sure what the error means. Any help is appreciated.

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