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  • C++ - Implementing my own stream

    - by HardCoder1986
    Hello! My problem can be described the following way: I have some data which actually is an array and could be represented as char* data with some size I also have some legacy code (function) that takes some abstract std::istream object as a param and uses that stream to retrieve data to operate. So, my question is the following - what would be the easy way to map my data to some std::istream object so that I can pass it to my function? I thought about creating a std::stringstream object from my data, but that means copying and (as I assume) isn't the best solution. Any ideas how this could be done so that my std::istream operates on the data directly? Thank you.

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  • Fetch users,logins and permissions and update the same

    - by user1490099
    Can any one please help me by giving a query or an idea which helps me? I am looking for a query which returns the users and logins in a sql server 2008 r2 instance. If some one has added/updated a user/permissions in next day- if we run a script it should revert all the changes to the previous day status. Let me give you an example On Wednesday the database security is fine On Thursday someone goes into the SQL instance and changes several database user security settings. This creates lots of problems. On Wednesday if we run a script on the SQL instance and it should reset the database user security back to what it was on Wednesday. Someone please help me in this regard, Its very urgent..............Please..........

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  • trying to work through a list in sections

    - by user1714887
    I have a list of lists sorted by the second value of the list (the groups). I now need to iterate through this to work on each "group" at a time. the data is [name, group, data1, data2, data3, data4]. I wasn't sure if I need a while or some other sort of loop, or maybe groupby but I've never used that. any help would be appreciated. for i in range (int(max_group)): x1 = [] x2 = [] x3 = [] x4 = [] if data[i][1] == i+1: x1.append(data[2]) x2.append(data[3]) x3.append(data[4]) x4.append(data[5]) print x1 print 'next' # these are just to test where we're at

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  • Why is iTunes starting and stopping play randomly, and how do I stop it?

    - by Chris R
    Since yesterday morning my copy of iTunes has been starting and stopping randomly. If iTunes is not running, then it opens and sometimes begins playing, other times sits idle. Eventually, after a random interval it will begin playing a song, and then stop, and so on... Needless to say, it's driving me mad. (Mac OSX, 10.6.3, on a new-ish (< 1 year old) 24" iMac) I've made five changes to my system that may or may not be connected to this: My office phone was replaced with a Linksys IP Phone, which necessitated a change to my networking; where previously my Mac was connected directly to the office network port, now it is connected through the phone. My network connection now uses auto link detection in lieu of forcing 100Mbit I unpaired my bluetooth headset. I removed the USB audio device associated with another headset. I upgraded to Safari 5. I don't use it as a primary browser, but it's often open to run web apps that I'm developing. All of these things happened in pretty close proximity to each other, so one or more of them may be the culprit. One other thing that may or may not be related; for some reason my built-in microphone is no longer picking up audio. It seems like this might be connected to the iTunes issue, because it happened around the same time. In terms of things that I've tried in order to solve this, I'm at a bit of a loss. I followed the instructions at http://developer.apple.com/mac/library/technotes/tn2004/tn2124.html#SECLAUNCHDLOGGING to enable detailed launchd logging to see if I could track down which process was asking iTunes to open (when it's not already open) but I wasn't able to make heads or tails of the output. I'm not even sure if I'm looking in the right place, to be honest; it actually acts like something is activating the application with AppleScript, but I have no processes running that are doing that, as far as I know. I'm running a few apps that have iTunes integration: Adium, iChat with Chax, Quicksilver. None of these have been changed lately, so I consider them low risks of causing this, but it's not impossible. Moreover, I'm not using any of those features intentionally. This is a snippet of launchd debug logging from around the time it just launched: 10-06-09 9:14:29 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:29 AM com.apple.launchd[1] KEVENT[0]: udata = 0x10002b230 data = 0x30 ident = 5 filter = EVFILT_READ flags = EV_ADD|EV_RECEIPT fflags = 0x0 10-06-09 9:14:29 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:29 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100802000 data = 0x0 ident = 26 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) Dispatching kevent callback. 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) EVFILT_PROC event for job: 10-06-09 9:14:29 AM com.apple.launchd[1] KEVENT[0]: udata = 0x1004076f0 data = 0x0 ident = 26 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) fork()ed 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave) Conceived 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Created PID 22197 anonymously by PPID 26 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Looking up per user launchd for UID: 0 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Per user launchd job found for UID: 505 10-06-09 9:14:29 AM com.apple.launchd[1] System: Looking up service com.apple.system.notification_center 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.notification_center 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Looking up per user launchd for UID: 0 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Per user launchd job found for UID: 505 10-06-09 9:14:29 AM com.apple.launchd[1] System: Looking up service com.apple.system.DirectoryService.libinfo_v1 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.DirectoryService.libinfo_v1 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Looking up per user launchd for UID: 0 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Per user launchd job found for UID: 505 10-06-09 9:14:29 AM com.apple.launchd[1] System: Looking up service com.apple.system.DirectoryService.membership_v1 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.DirectoryService.membership_v1 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Looking up per user launchd for UID: 0 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Per user launchd job found for UID: 505 10-06-09 9:14:29 AM com.apple.launchd[1] System: Looking up service com.apple.CoreServices.coreservicesd 10-06-09 9:14:29 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.CoreServices.coreservicesd 10-06-09 9:14:29 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:29 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100802000 data = 0x0 ident = 22197 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_EXIT 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Dispatching kevent callback. 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) EVFILT_PROC event for job: 10-06-09 9:14:29 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100401720 data = 0x0 ident = 22197 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_EXIT 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22197]) Reaping 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave) Total rusage: utime 0.000000 stime 0.000000 maxrss 0 ixrss 0 idrss 0 isrss 0 minflt 0 majflt 0 nswap 0 inblock 0 oublock 0 msgsnd 0 msgrcv 0 nsignals 0 nvcsw 0 nivcsw 0 10-06-09 9:14:29 AM com.apple.launchd[1] (0x100401720.anonymous.lssave) Removed 10-06-09 9:14:30 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:30 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100802000 data = 0x0 ident = 22197 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR|EV_EOF|EV_ONESHOT fflags = NOTE_REAP 10-06-09 9:14:32 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:32 AM com.apple.launchd[1] KEVENT[0]: udata = 0x10002b230 data = 0x30 ident = 5 filter = EVFILT_READ flags = EV_ADD|EV_RECEIPT fflags = 0x0 10-06-09 9:14:33 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:33 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100802000 data = 0x0 ident = 143 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Dispatching kevent callback. 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) EVFILT_PROC event for job: 10-06-09 9:14:33 AM com.apple.launchd[1] KEVENT[0]: udata = 0x10041e9a0 data = 0x0 ident = 143 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) fork()ed 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.distributed_notifications.2 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.distributed_notifications.2 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.system.notification_center 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.notification_center 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.system.DirectoryService.libinfo_v1 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.DirectoryService.libinfo_v1 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.system.DirectoryService.membership_v1 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.DirectoryService.membership_v1 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.CoreServices.coreservicesd 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.CoreServices.coreservicesd 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.SystemConfiguration.configd 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.SystemConfiguration.configd 10-06-09 9:14:33 AM com.apple.launchd[1] System: Looking up service com.apple.audio.coreaudiod 10-06-09 9:14:33 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.audio.coreaudiod 10-06-09 9:14:34 AM com.apple.launchd[1] System: Looking up service com.apple.system.logger 10-06-09 9:14:34 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.logger 10-06-09 9:14:35 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:35 AM com.apple.launchd[1] KEVENT[0]: udata = 0x10002b230 data = 0x30 ident = 5 filter = EVFILT_READ flags = EV_ADD|EV_RECEIPT fflags = 0x0 10-06-09 9:14:35 AM com.apple.launchd[1] System: Looking up service com.apple.DiskArbitration.diskarbitrationd 10-06-09 9:14:35 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.DiskArbitration.diskarbitrationd 10-06-09 9:14:35 AM com.apple.launchd[1] System: Looking up service com.apple.system.logger 10-06-09 9:14:35 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.logger 10-06-09 9:14:36 AM com.apple.launchd[1] System: Looking up service com.apple.FSEvents 10-06-09 9:14:36 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.FSEvents 10-06-09 9:14:36 AM com.apple.launchd[1] System: Looking up service com.apple.SystemConfiguration.configd 10-06-09 9:14:36 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.SystemConfiguration.configd 10-06-09 9:14:38 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:38 AM com.apple.launchd[1] KEVENT[0]: udata = 0x10002b230 data = 0x30 ident = 5 filter = EVFILT_READ flags = EV_ADD|EV_RECEIPT fflags = 0x0 10-06-09 9:14:39 AM com.apple.launchd[1] Dispatching kevent... 10-06-09 9:14:39 AM com.apple.launchd[1] KEVENT[0]: udata = 0x100802000 data = 0x0 ident = 26 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:39 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) Dispatching kevent callback. 10-06-09 9:14:39 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) EVFILT_PROC event for job: 10-06-09 9:14:39 AM com.apple.launchd[1] KEVENT[0]: udata = 0x1004076f0 data = 0x0 ident = 26 filter = EVFILT_PROC flags = EV_ADD|EV_RECEIPT|EV_CLEAR fflags = NOTE_FORK 10-06-09 9:14:39 AM com.apple.launchd[1] (com.apple.coreservicesd[26]) fork()ed 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave) Conceived 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22211]) Created PID 22211 anonymously by PPID 26 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22211]) Looking up per user launchd for UID: 0 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22211]) Per user launchd job found for UID: 505 10-06-09 9:14:39 AM com.apple.launchd[1] System: Looking up service com.apple.system.notification_center 10-06-09 9:14:39 AM com.apple.launchd[1] (com.apple.launchd.peruser.505[143]) Mach service lookup: com.apple.system.notification_center 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22211]) Looking up per user launchd for UID: 0 10-06-09 9:14:39 AM com.apple.launchd[1] (0x100401720.anonymous.lssave[22211]) Per user launchd job found for UID: 505 10-06-09 9:14:39 AM com.apple.launchd[1] System: Looking up service com.apple.system.DirectoryService.libinfo_v1

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  • Async ignored on AJAX requests on Nginx server

    - by eComEvo
    Despite sending an async request to the server over AJAX, the server will not respond until the previous unrelated request has finished. The following code is only broken in this way on Nginx, but runs perfectly on Apache. This call will start a background process and it waits for it to complete so it can display the final result. $.ajax({ type: 'GET', async: true, url: $(this).data('route'), data: $('input[name=data]').val(), dataType: 'json', success: function (data) { /* do stuff */} error: function (data) { /* handle errors */} }); The below is called after the above, which on Apache requires 100ms to execute and repeats itself, showing progress for data being written in the background: checkStatusInterval = setInterval(function () { $.ajax({ type: 'GET', async: false, cache: false, url: '/process-status?process=' + currentElement.attr('id'), dataType: 'json', success: function (data) { /* update progress bar and status message */ } }); }, 1000); Unfortunately, when this script is run from nginx, the above progress request never even finishes a single request until the first AJAX request that sent the data is done. If I change the async to TRUE in the above, it executes one every interval, but none of them complete until that very first AJAX request finishes. Here is the main nginx conf file: #user nobody; worker_processes 1; #error_log logs/error.log; #error_log logs/error.log notice; #error_log logs/error.log info; #pid logs/nginx.pid; events { worker_connections 1024; } http { include mime.types; default_type application/octet-stream; server_names_hash_bucket_size 64; # configure temporary paths # nginx is started with param -p, setting nginx path to serverpack installdir fastcgi_temp_path temp/fastcgi; uwsgi_temp_path temp/uwsgi; scgi_temp_path temp/scgi; client_body_temp_path temp/client-body 1 2; proxy_temp_path temp/proxy; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for"'; #access_log logs/access.log main; # Sendfile copies data between one FD and other from within the kernel. # More efficient than read() + write(), since the requires transferring data to and from the user space. sendfile on; # Tcp_nopush causes nginx to attempt to send its HTTP response head in one packet, # instead of using partial frames. This is useful for prepending headers before calling sendfile, # or for throughput optimization. tcp_nopush on; # don't buffer data-sends (disable Nagle algorithm). Good for sending frequent small bursts of data in real time. tcp_nodelay on; types_hash_max_size 2048; # Timeout for keep-alive connections. Server will close connections after this time. keepalive_timeout 90; # Number of requests a client can make over the keep-alive connection. This is set high for testing. keepalive_requests 100000; # allow the server to close the connection after a client stops responding. Frees up socket-associated memory. reset_timedout_connection on; # send the client a "request timed out" if the body is not loaded by this time. Default 60. client_header_timeout 20; client_body_timeout 60; # If the client stops reading data, free up the stale client connection after this much time. Default 60. send_timeout 60; # Size Limits client_body_buffer_size 64k; client_header_buffer_size 4k; client_max_body_size 8M; # FastCGI fastcgi_connect_timeout 60; fastcgi_send_timeout 120; fastcgi_read_timeout 300; # default: 60 secs; when step debugging with XDEBUG, you need to increase this value fastcgi_buffer_size 64k; fastcgi_buffers 4 64k; fastcgi_busy_buffers_size 128k; fastcgi_temp_file_write_size 128k; # Caches information about open FDs, freqently accessed files. open_file_cache max=200000 inactive=20s; open_file_cache_valid 30s; open_file_cache_min_uses 2; open_file_cache_errors on; # Turn on gzip output compression to save bandwidth. # http://wiki.nginx.org/HttpGzipModule gzip on; gzip_disable "MSIE [1-6]\.(?!.*SV1)"; gzip_http_version 1.1; gzip_vary on; gzip_proxied any; #gzip_proxied expired no-cache no-store private auth; gzip_comp_level 6; gzip_buffers 16 8k; gzip_types text/plain text/css application/json application/x-javascript text/xml application/xml application/xml+rss text/javascript application/javascript; # show all files and folders autoindex on; server { # access from localhost only listen 127.0.0.1:80; server_name localhost; root www; # the following default "catch-all" configuration, allows access to the server from outside. # please ensure your firewall allows access to tcp/port 80. check your "skype" config. # listen 80; # server_name _; log_not_found off; charset utf-8; access_log logs/access.log main; # handle files in the root path /www location / { index index.php index.html index.htm; } #error_page 404 /404.html; # redirect server error pages to the static page /50x.html # error_page 500 502 503 504 /50x.html; location = /50x.html { root www; } # pass the PHP scripts to FastCGI server listening on 127.0.0.1:9100 # location ~ \.php$ { try_files $uri =404; fastcgi_pass 127.0.0.1:9100; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; include fastcgi_params; } # add expire headers location ~* ^.+.(gif|ico|jpg|jpeg|png|flv|swf|pdf|mp3|mp4|xml|txt|js|css)$ { expires 30d; } # deny access to .htaccess files (if Apache's document root concurs with nginx's one) # deny access to git & svn repositories location ~ /(\.ht|\.git|\.svn) { deny all; } } # include config files of "enabled" domains include domains-enabled/*.conf; } Here is the enabled domain conf file: access_log off; access_log C:/server/www/test.dev/logs/access.log; error_log C:/server/www/test.dev/logs/error.log; # HTTP Server server { listen 127.0.0.1:80; server_name test.dev; root C:/server/www/test.dev/public; index index.php; rewrite_log on; default_type application/octet-stream; #include /etc/nginx/mime.types; # Include common configurations. include domains-common/location.conf; } # HTTPS server server { listen 443 ssl; server_name test.dev; root C:/server/www/test.dev/public; index index.php; rewrite_log on; default_type application/octet-stream; #include /etc/nginx/mime.types; # Include common configurations. include domains-common/location.conf; include domains-common/ssl.conf; } Contents of ssl.conf: # OpenSSL for HTTPS connections. ssl on; ssl_certificate C:/server/bin/openssl/certs/cert.pem; ssl_certificate_key C:/server/bin/openssl/certs/cert.key; ssl_session_timeout 5m; ssl_protocols SSLv3 TLSv1 TLSv1.1 TLSv1.2; ssl_ciphers HIGH:!aNULL:!MD5; ssl_prefer_server_ciphers on; # Pass the PHP scripts to FastCGI server listening on 127.0.0.1:9100 location ~ \.php$ { try_files $uri =404; fastcgi_param HTTPS on; fastcgi_pass 127.0.0.1:9100; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; include fastcgi_params; } Contents of location.conf: # Remove trailing slash to please Laravel routing system. if (!-d $request_filename) { rewrite ^/(.+)/$ /$1 permanent; } location / { try_files $uri $uri/ /index.php?$query_string; } # We don't need .ht files with nginx. location ~ /(\.ht|\.git|\.svn) { deny all; } # Added cache headers for images. location ~* \.(png|jpg|jpeg|gif)$ { expires 30d; log_not_found off; } # Only 3 hours on CSS/JS to allow me to roll out fixes during early weeks. location ~* \.(js|css)$ { expires 3h; log_not_found off; } # Add expire headers. location ~* ^.+.(gif|ico|jpg|jpeg|png|flv|swf|pdf|mp3|mp4|xml|txt)$ { expires 30d; } # Pass the PHP scripts to FastCGI server listening on 127.0.0.1:9100 location ~ \.php$ { try_files $uri /index.php =404; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; include fastcgi_params; fastcgi_pass 127.0.0.1:9100; } Any ideas where this is going wrong?

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  • Making sense of S.M.A.R.T

    - by James
    First of all, I think everyone knows that hard drives fail a lot more than the manufacturers would like to admit. Google did a study that indicates that certain raw data attributes that the S.M.A.R.T status of hard drives reports can have a strong correlation with the future failure of the drive. We find, for example, that after their first scan error, drives are 39 times more likely to fail within 60 days than drives with no such errors. First errors in re- allocations, offline reallocations, and probational counts are also strongly correlated to higher failure probabil- ities. Despite those strong correlations, we find that failure prediction models based on SMART parameters alone are likely to be severely limited in their prediction accuracy, given that a large fraction of our failed drives have shown no SMART error signals whatsoever. Seagate seems like it is trying to obscure this information about their drives by claiming that only their software can accurately determine the accurate status of their drive and by the way their software will not tell you the raw data values for the S.M.A.R.T attributes. Western digital has made no such claim to my knowledge but their status reporting tool does not appear to report raw data values either. I've been using HDtune and smartctl from smartmontools in order to gather the raw data values for each attribute. I've found that indeed... I am comparing apples to oranges when it comes to certain attributes. I've found for example that most Seagate drives will report that they have many millions of read errors while western digital 99% of the time shows 0 for read errors. I've also found that Seagate will report many millions of seek errors while Western Digital always seems to report 0. Now for my question. How do I normalize this data? Is Seagate producing millions of errors while Western digital is producing none? Wikipedia's article on S.M.A.R.T status says that manufacturers have different ways of reporting this data. Here is my hypothesis: I think I found a way to normalize (is that the right term?) the data. Seagate drives have an additional attribute that Western Digital drives do not have (Hardware ECC Recovered). When you subtract the Read error count from the ECC Recovered count, you'll probably end up with 0. This seems to be equivalent to Western Digitals reported "Read Error" count. This means that Western Digital only reports read errors that it cannot correct while Seagate counts up all read errors and tells you how many of those it was able to fix. I had a Seagate drive where the ECC Recovered count was less than the Read error count and I noticed that many of my files were becoming corrupt. This is how I came up with my hypothesis. The millions of seek errors that Seagate produces are still a mystery to me. Please confirm or correct my hypothesis if you have additional information. Here is the smart status of my western digital drive just so you can see what I'm talking about: james@ubuntu:~$ sudo smartctl -a /dev/sda smartctl version 5.38 [x86_64-unknown-linux-gnu] Copyright (C) 2002-8 Bruce Allen Home page is http://smartmontools.sourceforge.net/ === START OF INFORMATION SECTION === Device Model: WDC WD1001FALS-00E3A0 Serial Number: WD-WCATR0258512 Firmware Version: 05.01D05 User Capacity: 1,000,204,886,016 bytes Device is: Not in smartctl database [for details use: -P showall] ATA Version is: 8 ATA Standard is: Exact ATA specification draft version not indicated Local Time is: Thu Jun 10 19:52:28 2010 PDT SMART support is: Available - device has SMART capability. SMART support is: Enabled === START OF READ SMART DATA SECTION === SMART overall-health self-assessment test result: PASSED SMART Attributes Data Structure revision number: 16 Vendor Specific SMART Attributes with Thresholds: ID# ATTRIBUTE_NAME FLAG VALUE WORST THRESH TYPE UPDATED WHEN_FAILED RAW_VALUE 1 Raw_Read_Error_Rate 0x002f 200 200 051 Pre-fail Always - 0 3 Spin_Up_Time 0x0027 179 175 021 Pre-fail Always - 4033 4 Start_Stop_Count 0x0032 100 100 000 Old_age Always - 270 5 Reallocated_Sector_Ct 0x0033 200 200 140 Pre-fail Always - 0 7 Seek_Error_Rate 0x002e 200 200 000 Old_age Always - 0 9 Power_On_Hours 0x0032 098 098 000 Old_age Always - 1468 10 Spin_Retry_Count 0x0032 100 100 000 Old_age Always - 0 11 Calibration_Retry_Count 0x0032 100 100 000 Old_age Always - 0 12 Power_Cycle_Count 0x0032 100 100 000 Old_age Always - 262 192 Power-Off_Retract_Count 0x0032 200 200 000 Old_age Always - 46 193 Load_Cycle_Count 0x0032 200 200 000 Old_age Always - 223 194 Temperature_Celsius 0x0022 105 102 000 Old_age Always - 42 196 Reallocated_Event_Count 0x0032 200 200 000 Old_age Always - 0 197 Current_Pending_Sector 0x0032 200 200 000 Old_age Always - 0 198 Offline_Uncorrectable 0x0030 200 200 000 Old_age Offline - 0 199 UDMA_CRC_Error_Count 0x0032 200 200 000 Old_age Always - 0 200 Multi_Zone_Error_Rate 0x0008 200 200 000 Old_age Offline - 0

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  • Proliant server will not accept new hard disks in RAID 1+0?

    - by Leigh
    I have a HP ProLiant DL380 G5, I have two logical drives configured with RAID. I have one logical drive RAID 1+0 with two 72 gb 10k sas 1 port spare no 376597-001. I had one hard disk fail and ordered a replacement. The configuration utility showed error and would not rebuild the RAID. I presumed a hard disk fault and ordered a replacement again. In the mean time I put the original failed disk back in the server and this started rebuilding. Currently shows ok status however in the log I can see hardware errors. The new disk has come and I again have the same problem of not accepting the hard disk. I have updated the P400 controller with the latest firmware 7.24 , but still no luck. The only difference I can see is the original drive has firmware 0103 (same as the RAID drive) and the new one has HPD2. Any advice would be appreciated. Thanks in advance Logs from server ctrl all show config Smart Array P400 in Slot 1 (sn: PAFGK0P9VWO0UQ) array A (SAS, Unused Space: 0 MB) logicaldrive 1 (68.5 GB, RAID 1, Interim Recovery Mode) physicaldrive 2I:1:1 (port 2I:box 1:bay 1, SAS, 73.5 GB, OK) physicaldrive 2I:1:2 (port 2I:box 1:bay 2, SAS, 72 GB, Failed array B (SAS, Unused Space: 0 MB) logicaldrive 2 (558.7 GB, RAID 5, OK) physicaldrive 1I:1:5 (port 1I:box 1:bay 5, SAS, 300 GB, OK) physicaldrive 2I:1:3 (port 2I:box 1:bay 3, SAS, 300 GB, OK) physicaldrive 2I:1:4 (port 2I:box 1:bay 4, SAS, 300 GB, OK) ctrl all show config detail Smart Array P400 in Slot 1 Bus Interface: PCI Slot: 1 Serial Number: PAFGK0P9VWO0UQ Cache Serial Number: PA82C0J9VWL8I7 RAID 6 (ADG) Status: Disabled Controller Status: OK Hardware Revision: E Firmware Version: 7.24 Rebuild Priority: Medium Expand Priority: Medium Surface Scan Delay: 15 secs Surface Scan Mode: Idle Wait for Cache Room: Disabled Surface Analysis Inconsistency Notification: Disabled Post Prompt Timeout: 0 secs Cache Board Present: True Cache Status: OK Cache Status Details: A cache error was detected. Run more information. Cache Ratio: 100% Read / 0% Write Drive Write Cache: Disabled Total Cache Size: 256 MB Total Cache Memory Available: 208 MB No-Battery Write Cache: Disabled Battery/Capacitor Count: 0 SATA NCQ Supported: True Array: A Interface Type: SAS Unused Space: 0 MB Status: Failed Physical Drive Array Type: Data One of the drives on this array have failed or has Logical Drive: 1 Size: 68.5 GB Fault Tolerance: RAID 1 Heads: 255 Sectors Per Track: 32 Cylinders: 17594 Strip Size: 128 KB Full Stripe Size: 128 KB Status: Interim Recovery Mode Caching: Enabled Unique Identifier: 600508B10010503956574F305551 Disk Name: \\.\PhysicalDrive0 Mount Points: C:\ 68.5 GB Logical Drive Label: A0100539PAFGK0P9VWO0UQ0E93 Mirror Group 0: physicaldrive 2I:1:2 (port 2I:box 1:bay 2, S Mirror Group 1: physicaldrive 2I:1:1 (port 2I:box 1:bay 1, S Drive Type: Data physicaldrive 2I:1:1 Port: 2I Box: 1 Bay: 1 Status: OK Drive Type: Data Drive Interface Type: SAS Size: 73.5 GB Rotational Speed: 10000 Firmware Revision: 0103 Serial Number: B379P8C006RK Model: HP DG072A9B7 PHY Count: 2 PHY Transfer Rate: Unknown, Unknown physicaldrive 2I:1:2 Port: 2I Box: 1 Bay: 2 Status: Failed Drive Type: Data Drive Interface Type: SAS Size: 72 GB Rotational Speed: 15000 Firmware Revision: HPD9 Serial Number: D5A1PCA04SL01244 Model: HP EH0072FARUA PHY Count: 2 PHY Transfer Rate: Unknown, Unknown Array: B Interface Type: SAS Unused Space: 0 MB Status: OK Array Type: Data Logical Drive: 2 Size: 558.7 GB Fault Tolerance: RAID 5 Heads: 255 Sectors Per Track: 32 Cylinders: 65535 Strip Size: 64 KB Full Stripe Size: 128 KB Status: OK Caching: Enabled Parity Initialization Status: Initialization Co Unique Identifier: 600508B10010503956574F305551 Disk Name: \\.\PhysicalDrive1 Mount Points: E:\ 558.7 GB Logical Drive Label: AF14FD12PAFGK0P9VWO0UQD007 Drive Type: Data physicaldrive 1I:1:5 Port: 1I Box: 1 Bay: 5 Status: OK Drive Type: Data Drive Interface Type: SAS Size: 300 GB Rotational Speed: 10000 Firmware Revision: HPD4 Serial Number: 3SE07QH300009923X1X3 Model: HP DG0300BALVP Current Temperature (C): 32 Maximum Temperature (C): 45 PHY Count: 2 PHY Transfer Rate: Unknown, Unknown physicaldrive 2I:1:3 Port: 2I Box: 1 Bay: 3 Status: OK Drive Type: Data Drive Interface Type: SAS Size: 300 GB Rotational Speed: 10000 Firmware Revision: HPD4 Serial Number: 3SE0AHVH00009924P8F3 Model: HP DG0300BALVP Current Temperature (C): 34 Maximum Temperature (C): 47 PHY Count: 2 PHY Transfer Rate: Unknown, Unknown physicaldrive 2I:1:4 Port: 2I Box: 1 Bay: 4 Status: OK Drive Type: Data Drive Interface Type: SAS Size: 300 GB Rotational Speed: 10000 Firmware Revision: HPD4 Serial Number: 3SE08NAK00009924KWD6 Model: HP DG0300BALVP Current Temperature (C): 35 Maximum Temperature (C): 47 PHY Count: 2 PHY Transfer Rate: Unknown, Unknown

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  • How do I allow mysqld to use more than 24.9% of my cpu?

    - by Joseph Yancey
    I have a Web server running on RHEL that is running Apache and MySQL. It has a Quad core 3.2Ghz Xeon CPU and 8 Gigs of RAM Most of the time, we don't have any issues at all. Our web application is very database intensive. When our usage gets pretty heavy MySQL will peg out at using 24.9% of the cpu. Most of the time, it hangs around below 5%. I have speculated that it is only using one core of the CPU and it is pegging out that core but TOP shows me in the cpu column that mysqld changes cores even while the usage stays at 24.9%. When it does this MySQL gets painfully slow as it is queuing up queries Is there some magic configuration that will tell mysql to use more cpu when it needs to? Also, any other advice on my configuration would be helpful. We run two applications on this server. One that runs Innodb but doesn't get much usage (it has been replaced by the other app), and one that runs MyIsam and gets lots of use. Overall, our whole mysql data directory is something like 13Gigs if that matters at all. Here is my config: [root@ProductionLinux root]# cat /etc/my.cnf [mysqld] server-id = 71 log-bin = /var/log/mysql/mysql-bin.log binlog-do-db = oldapplication binlog-do-db = newapplication binlog-do-db = support thread_cache_size = 30 key_buffer_size = 256M table_cache = 256 sort_buffer_size = 4M read_buffer_size = 1M skip-name-resolve innodb_data_home_dir = /usr/local/mysql/data/ innodb_data_file_path = InnoDB:100M:autoextend set-variable = innodb_buffer_pool_size=70M set-variable = innodb_additional_mem_pool_size=10M set-variable = max_connections=500 innodb_log_group_home_dir = /usr/local/mysql/data innodb_log_arch_dir = /usr/local/mysql/data set-variable = innodb_log_file_size=20M set-variable = innodb_log_buffer_size=8M innodb_flush_log_at_trx_commit = 1 log-queries-not-using-indexes log-error = /var/log/mysql/mysql-error.log mysql show variables; +---------------------------------+-----------------------------------------------------------------------------+ | Variable_name | Value | +---------------------------------+-----------------------------------------------------------------------------+ | auto_increment_increment | 1 | | auto_increment_offset | 1 | | automatic_sp_privileges | ON | | back_log | 50 | | basedir | /usr/local/mysql-standard-5.0.18-linux-x86_64-glibc23/ | | binlog_cache_size | 32768 | | bulk_insert_buffer_size | 8388608 | | character_set_client | latin1 | | character_set_connection | latin1 | | character_set_database | latin1 | | character_set_results | latin1 | | character_set_server | latin1 | | character_set_system | utf8 | | character_sets_dir | /usr/local/mysql-standard-5.0.18-linux-x86_64-glibc23/share/mysql/charsets/ | | collation_connection | latin1_swedish_ci | | collation_database | latin1_swedish_ci | | collation_server | latin1_swedish_ci | | completion_type | 0 | | concurrent_insert | 1 | | connect_timeout | 5 | | datadir | /usr/local/mysql/data/ | | date_format | %Y-%m-%d | | datetime_format | %Y-%m-%d %H:%i:%s | | default_week_format | 0 | | delay_key_write | ON | | delayed_insert_limit | 100 | | delayed_insert_timeout | 300 | | delayed_queue_size | 1000 | | div_precision_increment | 4 | | engine_condition_pushdown | OFF | | expire_logs_days | 0 | | flush | OFF | | flush_time | 0 | | | ft_max_word_len | 84 | | ft_min_word_len | 4 | | ft_query_expansion_limit | 20 | | ft_stopword_file | (built-in) | | group_concat_max_len | 1024 | | have_archive | YES | | have_bdb | NO | | have_blackhole_engine | NO | | have_compress | YES | | have_crypt | YES | | have_csv | NO | | have_example_engine | NO | | have_federated_engine | NO | | have_geometry | YES | | have_innodb | YES | | have_isam | NO | | have_ndbcluster | NO | | have_openssl | NO | | have_query_cache | YES | | have_raid | NO | | have_rtree_keys | YES | | have_symlink | YES | | init_connect | | | init_file | | | init_slave | | | innodb_additional_mem_pool_size | 10485760 | | innodb_autoextend_increment | 8 | | innodb_buffer_pool_awe_mem_mb | 0 | | innodb_buffer_pool_size | 73400320 | | innodb_checksums | ON | | innodb_commit_concurrency | 0 | | innodb_concurrency_tickets | 500 | | innodb_data_file_path | InnoDB:100M:autoextend | | innodb_data_home_dir | /usr/local/mysql/data/ | | innodb_doublewrite | ON | | innodb_fast_shutdown | 1 | | innodb_file_io_threads | 4 | | innodb_file_per_table | OFF | | innodb_flush_log_at_trx_commit | 1 | | innodb_flush_method | | | innodb_force_recovery | 0 | | innodb_lock_wait_timeout | 50 | | innodb_locks_unsafe_for_binlog | OFF | | innodb_log_arch_dir | /usr/local/mysql/data | | innodb_log_archive | OFF | | innodb_log_buffer_size | 8388608 | | innodb_log_file_size | 20971520 | | innodb_log_files_in_group | 2 | | innodb_log_group_home_dir | /usr/local/mysql/data | | innodb_max_dirty_pages_pct | 90 | | innodb_max_purge_lag | 0 | | innodb_mirrored_log_groups | 1 | | innodb_open_files | 300 | | innodb_support_xa | ON | | innodb_sync_spin_loops | 20 | | innodb_table_locks | ON | | innodb_thread_concurrency | 20 | | innodb_thread_sleep_delay | 10000 | | interactive_timeout | 28800 | | join_buffer_size | 131072 | | key_buffer_size | 268435456 | | key_cache_age_threshold | 300 | | key_cache_block_size | 1024 | | key_cache_division_limit | 100 | | language | /usr/local/mysql-standard-5.0.18-linux-x86_64-glibc23/share/mysql/english/ | | large_files_support | ON | | large_page_size | 0 | | large_pages | OFF | | license | GPL | | local_infile | ON | | locked_in_memory | OFF | | log | OFF | | log_bin | ON | | log_bin_trust_function_creators | OFF | | log_error | /var/log/mysql/mysql-error.log | | log_slave_updates | OFF | | log_slow_queries | OFF | | log_warnings | 1 | | long_query_time | 10 | | low_priority_updates | OFF | | lower_case_file_system | OFF | | lower_case_table_names | 0 | | max_allowed_packet | 1048576 | | max_binlog_cache_size | 18446744073709551615 | | max_binlog_size | 1073741824 | | max_connect_errors | 10 | | max_connections | 500 | | max_delayed_threads | 20 | | max_error_count | 64 | | max_heap_table_size | 16777216 | | max_insert_delayed_threads | 20 | | max_join_size | 18446744073709551615 | | max_length_for_sort_data | 1024 | | max_relay_log_size | 0 | | max_seeks_for_key | 18446744073709551615 | | max_sort_length | 1024 | | max_sp_recursion_depth | 0 | | max_tmp_tables | 32 | | max_user_connections | 0 | | max_write_lock_count | 18446744073709551615 | | multi_range_count | 256 | | myisam_data_pointer_size | 6 | | myisam_max_sort_file_size | 9223372036854775807 | | myisam_recover_options | OFF | | myisam_repair_threads | 1 | | myisam_sort_buffer_size | 8388608 | | myisam_stats_method | nulls_unequal | | net_buffer_length | 16384 | | net_read_timeout | 30 | | net_retry_count | 10 | | net_write_timeout | 60 | | new | OFF | | old_passwords | OFF | | open_files_limit | 2510 | | optimizer_prune_level | 1 | | optimizer_search_depth | 62 | | pid_file | /usr/local/mysql/data/ProductionLinux.pid | | port | 3306 | | preload_buffer_size | 32768 | | protocol_version | 10 | | query_alloc_block_size | 8192 | | query_cache_limit | 1048576 | | query_cache_min_res_unit | 4096 | | query_cache_size | 0 | | query_cache_type | ON | | query_cache_wlock_invalidate | OFF | | query_prealloc_size | 8192 | | range_alloc_block_size | 2048 | | read_buffer_size | 1044480 | | read_only | OFF | | read_rnd_buffer_size | 262144 | | relay_log_purge | ON | | relay_log_space_limit | 0 | | rpl_recovery_rank | 0 | | secure_auth | OFF | | server_id | 71 | | skip_external_locking | ON | | skip_networking | OFF | | skip_show_database | OFF | | slave_compressed_protocol | OFF | | slave_load_tmpdir | /tmp/ | | slave_net_timeout | 3600 | | slave_skip_errors | OFF | | slave_transaction_retries | 10 | | slow_launch_time | 2 | | socket | /tmp/mysql.sock | | sort_buffer_size | 4194296 | | sql_mode | | | sql_notes | ON | | sql_warnings | ON | | storage_engine | MyISAM | | sync_binlog | 0 | | sync_frm | ON | | sync_replication | 0 | | sync_replication_slave_id | 0 | | sync_replication_timeout | 10 | | system_time_zone | CST | | table_cache | 256 | | table_lock_wait_timeout | 50 | | table_type | MyISAM | | thread_cache_size | 30 | | thread_stack | 262144 | | time_format | %H:%i:%s | | time_zone | SYSTEM | | timed_mutexes | OFF | | tmp_table_size | 33554432 | | tmpdir | | | transaction_alloc_block_size | 8192 | | transaction_prealloc_size | 4096 | | tx_isolation | REPEATABLE-READ | | updatable_views_with_limit | YES | | version | 5.0.18-standard-log | | version_comment | MySQL Community Edition - Standard (GPL) | | version_compile_machine | x86_64 | | version_compile_os | unknown-linux-gnu | | wait_timeout | 28800 | +---------------------------------+-----------------------------------------------------------------------------+ 210 rows in set (0.00 sec)

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  • Hard drive after PCB swap strange stuff

    - by ramyy
    I’ve done a PCB swap to my HDD. The HDD model is: WD6400AAKS-00A7B2. The original PCB PN matches the new one (first three letter groups), though the cache mismatches (16MB original, 8MB new). The Hardware store that made the swap told me it was hard to do the swap, they have done firmware adaptation. I can see that this firmware version does not match the original, (01.03B01 original, 05.04E05 new). Still I can see that the serial number and model of the drive is correct, the hard drive appeared normal in the BIOS, all the partitions show and everything appears normal. I have encountered three things though, I have left the drive non operated for 2-3 weeks after the swap to avoid corrupting the data or anything else the new PCB might cause, until I buy a new drive and backup the data. I got a drive, and when I powered the old drive manually (I have a laptop, I use a normal desktop power supply and a USB/SATA connector), I heard the motor start and I could hear ticking as if the motor’s somehow struggling to start, and then the motor sound starts again then the ticking, and so on.. I tried powering again it happened again. The third time it started normally and I could see everything normally. I took the chance and copied all the data over to the new drive. When I was done, I powered off the drive (after more than 25 hours of continuous operation), tried to power it up again and it did so normally, and so are the times I powered it up later; but I got very suspicious now. What could be the problem here? And what happened new, it used to power normally after the swap directly? The second thing that happened is that I found size differences with some files; some include movies, songs, (.iso) files for games, and programs. I could find the size is the same, but size on disk is a little more on the new drive for these files. . I’ve tried some of those files (with size differences) they worked fine. They are not too much but still make you suspicious of the integrity of the data copied; one cannot try if all files are working for about (580 GB) worth of data. I tried copying these files on the same partition they exist of the old drive; they are the same in size as when copied to the new drive (allocation unit size not the issue). I took an image of a partition (sector by sector including empty ones) and when I explore it, these file sizes are equal to the original (old drive); I copy them anywhere else their size on disk, increases, i.e becomes equal to the ones I copy from the old drive itself anywhere. Why the size difference and can one trust the integrity of the data?? The third thing is that when I connect my new external USB HDD, the partitions of the old HDD unmount and then mount again. Connected are: (USB mouse + Old HDD) then external HDD. Why that happens?? Considering the following: I compared the SMART reports from after the swap directly and after the copying, no error readings or reallocated sectors where reported. Here they are: http://www.image-share.com/ijpg-1939-219.html I later ran both WD data life guard tests and they came out passed. I’m worried for this drive since I must be sure the data is fine and safe on the new one, and I will consider it backup for the new one, since you can’t trust anything anymore. I hope you can forgive me for the length of the post, but couldn’t ignore any of the details, this hard drive contains very important data to me and I have to deal with the situation with great care.

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  • How to resolve: 'cmd' is not recognized as an internal or external command?

    - by qwer1234
    I have searched other forums to solve this error where it would either end with: 1.) re-install OS 2.) Setting path variable C:/Windows/System32 The latter did not work, and as you can probably imagine, I do not want to have to re-install my OS... I am running the command "mvn jetty:run" and the following is my stack trace, finishing with the message: "'cmd' is not recognized as an internal or external command, operable problem or batch file" as stated in the title of this question. [INFO] Scanning for projects... [INFO] ------------------------------------------------------------------------ [INFO] Building Test Tool [INFO] task-segment: [jetty:run] [INFO] ------------------------------------------------------------------------ [INFO] Preparing jetty:run [WARNING] Removing: run from forked lifecycle, to prevent recursive invocation. [INFO] [resources:resources] [WARNING] Using platform encoding (Cp1252 actually) to copy filtered resources, i.e. build is platform dependent! [INFO] Copying 32 resources [INFO] Copying 192 resources [INFO] [compiler:compile] [INFO] Compiling 1854 source files to C:\Development\global_stock_record\test\java\Turtle\target\classes [INFO] ------------------------------------------------------------------------ [ERROR] BUILD FAILURE [INFO] ------------------------------------------------------------------------ [INFO] Compilation failure C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\compilers\JavaScriptClassCompiler.java:[45,29] cannot find symbol symbol : class CompilerEnvirons location: package org.mozilla.javascript C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\compilers\JavaScriptClassCompiler.java:[47,29] cannot find symbol symbol : class ContextFactory location: package org.mozilla.javascript C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\compilers\JavaScriptClassCompiler.java:[49,39] cannot find symbol symbol : class ClassCompiler location: package org.mozilla.javascript.optimizer C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\compilers\JavaScriptClassCompiler.java:[181,55] cannot find symbol symbol : class CompilerEnvirons location: class net.sf.jasperreports.compilers.JavaScriptClassCompiler C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\export\JRXmlExporter.java:[99,26] package org.w3c.tools.codec does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\xml\JRBaseFactory.java:[26,34] package org.apache.commons.digester does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\xml\JRBaseFactory.java:[27,34] package org.apache.commons.digester does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\xml\JRBaseFactory.java:[34,47] cannot find symbol symbol: class ObjectCreationFactory public abstract class JRBaseFactory implements ObjectCreationFactory C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\xml\JRBaseFactory.java:[41,21] cannot find symbol symbol : class Digester location: class net.sf.jasperreports.engine.xml.JRBaseFactory C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\xml\JRBaseFactory.java:[47,8] cannot find symbol symbol : class Digester location: class net.sf.jasperreports.engine.xml.JRBaseFactory C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\xml\JRBaseFactory.java:[56,25] cannot find symbol symbol : class Digester location: class net.sf.jasperreports.engine.xml.JRBaseFactory C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\Code39Component.java:[28,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\BarcodeComponent.java:[41,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\Code39Component.java:[66,29] cannot find symbol symbol : class ChecksumMode location: class net.sf.jasperreports.components.barcode4j.Code39Component C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\BarcodeComponent.java:[179,29] cannot find symbol symbol : class HumanReadablePlacement location: class net.sf.jasperreports.components.barcode4j.BarcodeComponent C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\EAN128Component.java:[26,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\DataMatrixComponent.java:[26,45] package org.krysalis.barcode4j.impl.datamatrix does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\FourStateBarcodeComponent.java:[26,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\UPCAComponent.java:[28,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\UPCEComponent.java:[28,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\EAN13Component.java:[28,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\EAN8Component.java:[28,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\Interleaved2Of5Component.java:[28,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\EAN128Component.java:[57,29] cannot find symbol symbol : class ChecksumMode location: class net.sf.jasperreports.components.barcode4j.EAN128Component C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\DataMatrixComponent.java:[62,22] cannot find symbol symbol : class SymbolShapeHint location: class net.sf.jasperreports.components.barcode4j.DataMatrixComponent C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\FourStateBarcodeComponent.java:[76,29] cannot find symbol symbol : class ChecksumMode location: class net.sf.jasperreports.components.barcode4j.FourStateBarcodeComponent C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\UPCAComponent.java:[56,29] cannot find symbol symbol : class ChecksumMode location: class net.sf.jasperreports.components.barcode4j.UPCAComponent C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\UPCEComponent.java:[56,29] cannot find symbol symbol : class ChecksumMode location: class net.sf.jasperreports.components.barcode4j.UPCEComponent C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\EAN13Component.java:[56,29] cannot find symbol symbol : class ChecksumMode location: class net.sf.jasperreports.components.barcode4j.EAN13Component C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\EAN8Component.java:[56,29] cannot find symbol symbol : class ChecksumMode location: class net.sf.jasperreports.components.barcode4j.EAN8Component C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\Interleaved2Of5Component.java:[60,29] cannot find symbol symbol : class ChecksumMode location: class net.sf.jasperreports.components.barcode4j.Interleaved2Of5Component C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\data\JRHibernateAbstractDataSource.java:[36,25] package org.hibernate.type does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[49,20] package org.hibernate does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[50,20] package org.hibernate does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[51,20] package org.hibernate does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[52,20] package org.hibernate does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[53,20] package org.hibernate does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[54,25] package org.hibernate.type does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\data\JRHibernateAbstractDataSource.java:[173,38] cannot find symbol symbol : class Type location: class net.sf.jasperreports.engine.data.JRHibernateAbstractDataSource C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[66,35] cannot find symbol symbol : class Type location: class net.sf.jasperreports.engine.query.JRHibernateQueryExecuter C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[89,9] cannot find symbol symbol : class Session location: class net.sf.jasperreports.engine.query.JRHibernateQueryExecuter C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[90,9] cannot find symbol symbol : class Query location: class net.sf.jasperreports.engine.query.JRHibernateQueryExecuter C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[92,9] cannot find symbol symbol : class ScrollableResults location: class net.sf.jasperreports.engine.query.JRHibernateQueryExecuter C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[359,8] cannot find symbol symbol : class Type location: class net.sf.jasperreports.engine.query.JRHibernateQueryExecuter C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\query\JRHibernateQueryExecuter.java:[474,8] cannot find symbol symbol : class ScrollableResults location: class net.sf.jasperreports.engine.query.JRHibernateQueryExecuter C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barbecue\BarbecueFillComponent.java:[40,31] package net.sourceforge.barbecue does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[38,27] package org.apache.tools.ant does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[39,27] package org.apache.tools.ant does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[40,27] package org.apache.tools.ant does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[41,33] package org.apache.tools.ant.types does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[42,33] package org.apache.tools.ant.types does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[43,43] package org.apache.tools.ant.types.resources does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[44,32] package org.apache.tools.ant.util does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[45,32] package org.apache.tools.ant.util does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRBaseAntTask.java:[34,36] package org.apache.tools.ant.taskdefs does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRBaseAntTask.java:[41,35] cannot find symbol symbol: class MatchingTask public class JRBaseAntTask extends MatchingTask C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[74,9] cannot find symbol symbol : class Path location: class net.sf.jasperreports.ant.JRAntXmlExportTask C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[76,9] cannot find symbol symbol : class Path location: class net.sf.jasperreports.ant.JRAntXmlExportTask C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[86,23] cannot find symbol symbol : class Path location: class net.sf.jasperreports.ant.JRAntXmlExportTask C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[104,8] cannot find symbol symbol : class Path location: class net.sf.jasperreports.ant.JRAntXmlExportTask C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[131,8] cannot find symbol symbol : class Path location: class net.sf.jasperreports.ant.JRAntXmlExportTask C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[145,30] cannot find symbol symbol : class BuildException location: class net.sf.jasperreports.ant.JRAntXmlExportTask C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[183,41] cannot find symbol symbol : class BuildException location: class net.sf.jasperreports.ant.JRAntXmlExportTask C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[211,33] cannot find symbol symbol : class BuildException location: class net.sf.jasperreports.ant.JRAntXmlExportTask C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\ant\JRAntXmlExportTask.java:[276,32] cannot find symbol symbol : class BuildException location: class net.sf.jasperreports.ant.JRAntXmlExportTask C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\xml\TransformedPropertyRule.java:[27,34] package org.apache.commons.digester does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\xml\TransformedPropertyRule.java:[37,54] cannot find symbol symbol: class Rule public abstract class TransformedPropertyRule extends Rule C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\data\mondrian\MondrianDataAdapterService.java:[29,20] package mondrian.olap does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\data\mondrian\MondrianDataAdapterService.java:[30,20] package mondrian.olap does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\data\mondrian\MondrianDataAdapterService.java:[31,20] package mondrian.olap does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\data\mondrian\MondrianDataAdapterService.java:[45,9] cannot find symbol symbol : class Connection location: class net.sf.jasperreports.data.mondrian.MondrianDataAdapterService C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\data\JRXlsDataSource.java:[40,10] package jxl does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\data\JRXlsDataSource.java:[41,10] package jxl does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\data\JRXlsDataSource.java:[42,10] package jxl does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\data\JRXlsDataSource.java:[43,20] package jxl.read.biff does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\data\JRXlsDataSource.java:[66,9] cannot find symbol symbol : class Workbook location: class net.sf.jasperreports.engine.data.JRXlsDataSource C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\engine\data\JRXlsDataSource.java:[83,24] cannot find symbol symbol : class Workbook location: class net.sf.jasperreports.engine.data.JRXlsDataSource C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\olap\xmla\JRXmlaMember.java:[26,20] package mondrian.olap does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\olap\result\JROlapMember.java:[26,20] package mondrian.olap does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\olap\xmla\JRXmlaMember.java:[89,8] cannot find symbol symbol : class Member location: class net.sf.jasperreports.olap.xmla.JRXmlaMember C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\olap\result\JROlapMember.java:[46,1] cannot find symbol symbol : class Member location: interface net.sf.jasperreports.olap.result.JROlapMember C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\web\actions\AbstractAction.java:[43,36] package org.codehaus.jackson.annotate does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\web\actions\AbstractAction.java:[49,1] cannot find symbol symbol: class JsonTypeInfo @JsonTypeInfo(use=JsonTypeInfo.Id.NAME, include=JsonTypeInfo.As.PROPERTY, property="actionName") C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[32,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[33,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[34,29] package org.krysalis.barcode4j does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[35,34] package org.krysalis.barcode4j.impl does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[36,42] package org.krysalis.barcode4j.impl.codabar does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[37,42] package org.krysalis.barcode4j.impl.code128 does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[38,42] package org.krysalis.barcode4j.impl.code128 does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[39,41] package org.krysalis.barcode4j.impl.code39 does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[40,45] package org.krysalis.barcode4j.impl.datamatrix does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[41,45] package org.krysalis.barcode4j.impl.datamatrix does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[42,44] package org.krysalis.barcode4j.impl.fourstate does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[43,44] package org.krysalis.barcode4j.impl.fourstate does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[44,44] package org.krysalis.barcode4j.impl.fourstate does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[45,42] package org.krysalis.barcode4j.impl.int2of5 does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[46,41] package org.krysalis.barcode4j.impl.pdf417 does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[47,42] package org.krysalis.barcode4j.impl.postnet does not exist C:\Development\global_stock_record\test\java\Turtle\src\main\java\net\sf\jasperreports\components\barcode4j\AbstractBarcodeEvaluator.java:[48,41] package org.krysalis.barcode4j.impl.upcean does not exist [INFO] ------------------------------------------------------------------------ [INFO] For more information, run Maven with the -e switch [INFO] ------------------------------------------------------------------------ [INFO] Total time: 17 seconds [INFO] Finished at: Fri Dec 07 11:46:28 EST 2012 [INFO] Final Memory: 27M/63M [INFO] ------------------------------------------------------------------------

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  • eclipse error - org.osgi.framework.BundleException: Exception in org.eclipse.core.internal.net.Activator.start()

    - by chaostimmy
    i have the following error message written to the workspace log file... i tried several different Eclipse versions and fresh workspaces... !SESSION 2011-01-11 16:56:49.375 ----------------------------------------------- eclipse.buildId=M20100909-0800 java.version=1.6.0_20 java.vendor=Sun Microsystems Inc. BootLoader constants: OS=linux, ARCH=x86_64, WS=gtk, NL=en_US Command-line arguments: -os linux -ws gtk -arch x86_64 !ENTRY org.eclipse.osgi 4 0 2011-01-11 16:57:03.820 !MESSAGE An error occurred while automatically activating bundle org.eclipse.core.net (46). !STACK 0 org.osgi.framework.BundleException: Exception in org.eclipse.core.internal.net.Activator.start() of bundle org.eclipse.core.net. at org.eclipse.osgi.framework.internal.core.BundleContextImpl.startActivator(BundleContextImpl.java:806) at org.eclipse.osgi.framework.internal.core.BundleContextImpl.start(BundleContextImpl.java:755) at org.eclipse.osgi.framework.internal.core.BundleHost.startWorker(BundleHost.java:370) at org.eclipse.osgi.framework.internal.core.AbstractBundle.start(AbstractBundle.java:284) at org.eclipse.osgi.framework.util.SecureAction.start(SecureAction.java:417) at org.eclipse.osgi.internal.loader.BundleLoader.setLazyTrigger(BundleLoader.java:265) at org.eclipse.core.runtime.internal.adaptor.EclipseLazyStarter.postFindLocalClass(EclipseLazyStarter.java:106) at org.eclipse.osgi.baseadaptor.loader.ClasspathManager.findLocalClass(ClasspathManager.java:453) at org.eclipse.osgi.internal.baseadaptor.DefaultClassLoader.findLocalClass(DefaultClassLoader.java:216) at org.eclipse.osgi.internal.loader.BundleLoader.findLocalClass(BundleLoader.java:393) at org.eclipse.osgi.internal.loader.SingleSourcePackage.loadClass(SingleSourcePackage.java:33) at org.eclipse.osgi.internal.loader.BundleLoader.findClassInternal(BundleLoader.java:466) at org.eclipse.osgi.internal.loader.BundleLoader.findClass(BundleLoader.java:422) at org.eclipse.osgi.internal.loader.BundleLoader.findClass(BundleLoader.java:410) at org.eclipse.osgi.internal.baseadaptor.DefaultClassLoader.loadClass(DefaultClassLoader.java:107) at java.lang.ClassLoader.loadClass(ClassLoader.java:248) at java.lang.Class.forName0(Native Method) at java.lang.Class.forName(Class.java:169) at org.eclipse.ui.internal.ide.application.IDEWorkbenchAdvisor.activateProxyService(IDEWorkbenchAdvisor.java:284) at org.eclipse.ui.internal.ide.application.IDEWorkbenchAdvisor.postStartup(IDEWorkbenchAdvisor.java:264) at org.eclipse.ui.internal.Workbench.runUI(Workbench.java:2575) at org.eclipse.ui.internal.Workbench.access$4(Workbench.java:2438) at org.eclipse.ui.internal.Workbench$7.run(Workbench.java:671) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:332) at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:664) at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:149) at org.eclipse.ui.internal.ide.application.IDEApplication.start(IDEApplication.java:115) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:196) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:110) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:79) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:369) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:179) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:619) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:574) at org.eclipse.equinox.launcher.Main.run(Main.java:1407) at org.eclipse.equinox.launcher.Main.main(Main.java:1383) Caused by: java.lang.NoClassDefFoundError: javax/crypto/BadPaddingException at org.eclipse.equinox.internal.security.storage.SecurePreferencesMapper.open(SecurePreferencesMapper.java:99) at org.eclipse.equinox.internal.security.storage.SecurePreferencesMapper.getDefault(SecurePreferencesMapper.java:44) at org.eclipse.equinox.security.storage.SecurePreferencesFactory.getDefault(SecurePreferencesFactory.java:50) at org.eclipse.core.internal.net.ProxyType.getNode(ProxyType.java:515) at org.eclipse.core.internal.net.ProxyType.loadProxyAuth(ProxyType.java:525) at org.eclipse.core.internal.net.ProxyType.createProxyData(ProxyType.java:148) at org.eclipse.core.internal.net.ProxyType.getProxyData(ProxyType.java:137) at org.eclipse.core.internal.net.ProxyManager.migrateInstanceScopePreferences(ProxyManager.java:453) at org.eclipse.core.internal.net.ProxyManager.checkMigrated(ProxyManager.java:418) at org.eclipse.core.internal.net.ProxyManager.initialize(ProxyManager.java:277) at org.eclipse.core.internal.net.Activator.start(Activator.java:179) at org.eclipse.osgi.framework.internal.core.BundleContextImpl$1.run(BundleContextImpl.java:783) at java.security.AccessController.doPrivileged(Native Method) at org.eclipse.osgi.framework.internal.core.BundleContextImpl.startActivator(BundleContextImpl.java:774) ... 39 more Caused by: java.lang.ClassNotFoundException: javax.crypto.BadPaddingException at org.eclipse.osgi.internal.loader.BundleLoader.findClassInternal(BundleLoader.java:460) at org.eclipse.osgi.internal.loader.BundleLoader.findClass(BundleLoader.java:422) at org.eclipse.osgi.internal.loader.BundleLoader.findClass(BundleLoader.java:410) at org.eclipse.osgi.internal.baseadaptor.DefaultClassLoader.loadClass(DefaultClassLoader.java:107) at java.lang.ClassLoader.loadClass(ClassLoader.java:248) ... 53 more Root exception: java.lang.NoClassDefFoundError: javax/crypto/BadPaddingException at org.eclipse.equinox.internal.security.storage.SecurePreferencesMapper.open(SecurePreferencesMapper.java:99) at org.eclipse.equinox.internal.security.storage.SecurePreferencesMapper.getDefault(SecurePreferencesMapper.java:44) at org.eclipse.equinox.security.storage.SecurePreferencesFactory.getDefault(SecurePreferencesFactory.java:50) at org.eclipse.core.internal.net.ProxyType.getNode(ProxyType.java:515) at org.eclipse.core.internal.net.ProxyType.loadProxyAuth(ProxyType.java:525) at org.eclipse.core.internal.net.ProxyType.createProxyData(ProxyType.java:148) at org.eclipse.core.internal.net.ProxyType.getProxyData(ProxyType.java:137) at org.eclipse.core.internal.net.ProxyManager.migrateInstanceScopePreferences(ProxyManager.java:453) at org.eclipse.core.internal.net.ProxyManager.checkMigrated(ProxyManager.java:418) at org.eclipse.core.internal.net.ProxyManager.initialize(ProxyManager.java:277) at org.eclipse.core.internal.net.Activator.start(Activator.java:179) at org.eclipse.osgi.framework.internal.core.BundleContextImpl$1.run(BundleContextImpl.java:783) at java.security.AccessController.doPrivileged(Native Method) at org.eclipse.osgi.framework.internal.core.BundleContextImpl.startActivator(BundleContextImpl.java:774) at org.eclipse.osgi.framework.internal.core.BundleContextImpl.start(BundleContextImpl.java:755) at org.eclipse.osgi.framework.internal.core.BundleHost.startWorker(BundleHost.java:370) at org.eclipse.osgi.framework.internal.core.AbstractBundle.start(AbstractBundle.java:284) at org.eclipse.osgi.framework.util.SecureAction.start(SecureAction.java:417) at org.eclipse.osgi.internal.loader.BundleLoader.setLazyTrigger(BundleLoader.java:265) at org.eclipse.core.runtime.internal.adaptor.EclipseLazyStarter.postFindLocalClass(EclipseLazyStarter.java:106) at org.eclipse.osgi.baseadaptor.loader.ClasspathManager.findLocalClass(ClasspathManager.java:453) at org.eclipse.osgi.internal.baseadaptor.DefaultClassLoader.findLocalClass(DefaultClassLoader.java:216) at org.eclipse.osgi.internal.loader.BundleLoader.findLocalClass(BundleLoader.java:393) at org.eclipse.osgi.internal.loader.SingleSourcePackage.loadClass(SingleSourcePackage.java:33) at org.eclipse.osgi.internal.loader.BundleLoader.findClassInternal(BundleLoader.java:466) at org.eclipse.osgi.internal.loader.BundleLoader.findClass(BundleLoader.java:422) at org.eclipse.osgi.internal.loader.BundleLoader.findClass(BundleLoader.java:410) at org.eclipse.osgi.internal.baseadaptor.DefaultClassLoader.loadClass(DefaultClassLoader.java:107) at java.lang.ClassLoader.loadClass(ClassLoader.java:248) at java.lang.Class.forName0(Native Method) at java.lang.Class.forName(Class.java:169) at org.eclipse.ui.internal.ide.application.IDEWorkbenchAdvisor.activateProxyService(IDEWorkbenchAdvisor.java:284) at org.eclipse.ui.internal.ide.application.IDEWorkbenchAdvisor.postStartup(IDEWorkbenchAdvisor.java:264) at org.eclipse.ui.internal.Workbench.runUI(Workbench.java:2575) at org.eclipse.ui.internal.Workbench.access$4(Workbench.java:2438) at org.eclipse.ui.internal.Workbench$7.run(Workbench.java:671) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:332) at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:664) at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:149) at org.eclipse.ui.internal.ide.application.IDEApplication.start(IDEApplication.java:115) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:196) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:110) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:79) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:369) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:179) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:619) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:574) at org.eclipse.equinox.launcher.Main.run(Main.java:1407) at org.eclipse.equinox.launcher.Main.main(Main.java:1383) Caused by: java.lang.ClassNotFoundException: javax.crypto.BadPaddingException at org.eclipse.osgi.internal.loader.BundleLoader.findClassInternal(BundleLoader.java:460) at org.eclipse.osgi.internal.loader.BundleLoader.findClass(BundleLoader.java:422) at org.eclipse.osgi.internal.loader.BundleLoader.findClass(BundleLoader.java:410) at org.eclipse.osgi.internal.baseadaptor.DefaultClassLoader.loadClass(DefaultClassLoader.java:107) at java.lang.ClassLoader.loadClass(ClassLoader.java:248) ... 53 more !ENTRY org.eclipse.ui.workbench 4 0 2011-01-11 16:57:03.862 !MESSAGE Widget disposed too early! !STACK 0 java.lang.RuntimeException: Widget disposed too early! at org.eclipse.ui.internal.WorkbenchPartReference$1.widgetDisposed(WorkbenchPartReference.java:172) at org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListener.java:123) at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java:84) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1258) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1282) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1263) at org.eclipse.swt.widgets.Widget.release(Widget.java:1080) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Composite.releaseChildren(Composite.java:1293) at org.eclipse.swt.widgets.Widget.release(Widget.java:1083) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Composite.releaseChildren(Composite.java:1293) at org.eclipse.swt.widgets.Widget.release(Widget.java:1083) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Composite.releaseChildren(Composite.java:1293) at org.eclipse.swt.widgets.Canvas.releaseChildren(Canvas.java:208) at org.eclipse.swt.widgets.Decorations.releaseChildren(Decorations.java:469) at org.eclipse.swt.widgets.Shell.releaseChildren(Shell.java:2305) at org.eclipse.swt.widgets.Widget.release(Widget.java:1083) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Widget.dispose(Widget.java:462) at org.eclipse.swt.widgets.Shell.dispose(Shell.java:2241) at org.eclipse.swt.widgets.Display.release(Display.java:3211) at org.eclipse.swt.graphics.Device.dispose(Device.java:237) at org.eclipse.ui.internal.ide.application.IDEApplication.start(IDEApplication.java:131) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:196) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:110) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:79) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:369) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:179) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:619) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:574) at org.eclipse.equinox.launcher.Main.run(Main.java:1407) at org.eclipse.equinox.launcher.Main.main(Main.java:1383) !ENTRY org.eclipse.ui.workbench 4 0 2011-01-11 16:57:03.868 !MESSAGE Widget disposed too early! !STACK 0 java.lang.RuntimeException: Widget disposed too early! at org.eclipse.ui.internal.WorkbenchPartReference$1.widgetDisposed(WorkbenchPartReference.java:172) at org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListener.java:123) at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java:84) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1258) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1282) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1263) at org.eclipse.swt.widgets.Widget.release(Widget.java:1080) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Composite.releaseChildren(Composite.java:1293) at org.eclipse.swt.widgets.Widget.release(Widget.java:1083) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Composite.releaseChildren(Composite.java:1293) at org.eclipse.swt.widgets.Widget.release(Widget.java:1083) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Composite.releaseChildren(Composite.java:1293) at org.eclipse.swt.widgets.Canvas.releaseChildren(Canvas.java:208) at org.eclipse.swt.widgets.Decorations.releaseChildren(Decorations.java:469) at org.eclipse.swt.widgets.Shell.releaseChildren(Shell.java:2305) at org.eclipse.swt.widgets.Widget.release(Widget.java:1083) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Widget.dispose(Widget.java:462) at org.eclipse.swt.widgets.Shell.dispose(Shell.java:2241) at org.eclipse.swt.widgets.Display.release(Display.java:3211) at org.eclipse.swt.graphics.Device.dispose(Device.java:237) at org.eclipse.ui.internal.ide.application.IDEApplication.start(IDEApplication.java:131) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:196) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:110) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:79) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:369) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:179) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:619) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:574) at org.eclipse.equinox.launcher.Main.run(Main.java:1407) at org.eclipse.equinox.launcher.Main.main(Main.java:1383) !ENTRY org.eclipse.ui.workbench 4 0 2011-01-11 16:57:03.872 !MESSAGE Widget disposed too early! !STACK 0 java.lang.RuntimeException: Widget disposed too early! at org.eclipse.ui.internal.WorkbenchPartReference$1.widgetDisposed(WorkbenchPartReference.java:172) at org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListener.java:123) at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java:84) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1258) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1282) at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1263) at org.eclipse.swt.widgets.Widget.release(Widget.java:1080) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Composite.releaseChildren(Composite.java:1293) at org.eclipse.swt.widgets.Widget.release(Widget.java:1083) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Composite.releaseChildren(Composite.java:1293) at org.eclipse.swt.widgets.Widget.release(Widget.java:1083) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Composite.releaseChildren(Composite.java:1293) at org.eclipse.swt.widgets.Canvas.releaseChildren(Canvas.java:208) at org.eclipse.swt.widgets.Decorations.releaseChildren(Decorations.java:469) at org.eclipse.swt.widgets.Shell.releaseChildren(Shell.java:2305) at org.eclipse.swt.widgets.Widget.release(Widget.java:1083) at org.eclipse.swt.widgets.Control.release(Control.java:3304) at org.eclipse.swt.widgets.Widget.dispose(Widget.java:462) at org.eclipse.swt.widgets.Shell.dispose(Shell.java:2241) at org.eclipse.swt.widgets.Display.release(Display.java:3211) at org.eclipse.swt.graphics.Device.dispose(Device.java:237) at org.eclipse.ui.internal.ide.application.IDEApplication.start(IDEApplication.java:131) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:196) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:110) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:79) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:369) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:179) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:619) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:574) at org.eclipse.equinox.launcher.Main.run(Main.java:1407) at org.eclipse.equinox.launcher.Main.main(Main.java:1383) !ENTRY org.eclipse.osgi 4 0 2011-01-11 16:57:03.925 !MESSAGE Application error !STACK 1 java.lang.NoClassDefFoundError: An error occurred while automatically activating bundle org.eclipse.core.net (46). at org.eclipse.ui.internal.ide.application.IDEWorkbenchAdvisor.activateProxyService(IDEWorkbenchAdvisor.java:284) at org.eclipse.ui.internal.ide.application.IDEWorkbenchAdvisor.postStartup(IDEWorkbenchAdvisor.java:264) at org.eclipse.ui.internal.Workbench.runUI(Workbench.java:2575) at org.eclipse.ui.internal.Workbench.access$4(Workbench.java:2438) at org.eclipse.ui.internal.Workbench$7.run(Workbench.java:671) at org.eclipse.core.databinding.observable.Realm.runWithDefault(Realm.java:332) at org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Workbench.java:664) at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.java:149) at org.eclipse.ui.internal.ide.application.IDEApplication.start(IDEApplication.java:115) at org.eclipse.equinox.internal.app.EclipseAppHandle.run(EclipseAppHandle.java:196) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.runApplication(EclipseAppLauncher.java:110) at org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher.start(EclipseAppLauncher.java:79) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:369) at org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseStarter.java:179) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java:619) at org.eclipse.equinox.launcher.Main.basicRun(Main.java:574) at org.eclipse.equinox.launcher.Main.run(Main.java:1407) at org.eclipse.equinox.launcher.Main.main(Main.java:1383) i dont know what to do =(

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  • More than 100,000 articles !

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

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  • Using JSON.NET for dynamic JSON parsing

    - by Rick Strahl
    With the release of ASP.NET Web API as part of .NET 4.5 and MVC 4.0, JSON.NET has effectively pushed out the .NET native serializers to become the default serializer for Web API. JSON.NET is vastly more flexible than the built in DataContractJsonSerializer or the older JavaScript serializer. The DataContractSerializer in particular has been very problematic in the past because it can't deal with untyped objects for serialization - like values of type object, or anonymous types which are quite common these days. The JavaScript Serializer that came before it actually does support non-typed objects for serialization but it can't do anything with untyped data coming in from JavaScript and it's overall model of extensibility was pretty limited (JavaScript Serializer is what MVC uses for JSON responses). JSON.NET provides a robust JSON serializer that has both high level and low level components, supports binary JSON, JSON contracts, Xml to JSON conversion, LINQ to JSON and many, many more features than either of the built in serializers. ASP.NET Web API now uses JSON.NET as its default serializer and is now pulled in as a NuGet dependency into Web API projects, which is great. Dynamic JSON Parsing One of the features that I think is getting ever more important is the ability to serialize and deserialize arbitrary JSON content dynamically - that is without mapping the JSON captured directly into a .NET type as DataContractSerializer or the JavaScript Serializers do. Sometimes it isn't possible to map types due to the differences in languages (think collections, dictionaries etc), and other times you simply don't have the structures in place or don't want to create them to actually import the data. If this topic sounds familiar - you're right! I wrote about dynamic JSON parsing a few months back before JSON.NET was added to Web API and when Web API and the System.Net HttpClient libraries included the System.Json classes like JsonObject and JsonArray. With the inclusion of JSON.NET in Web API these classes are now obsolete and didn't ship with Web API or the client libraries. I re-linked my original post to this one. In this post I'll discus JToken, JObject and JArray which are the dynamic JSON objects that make it very easy to create and retrieve JSON content on the fly without underlying types. Why Dynamic JSON? So, why Dynamic JSON parsing rather than strongly typed parsing? Since applications are interacting more and more with third party services it becomes ever more important to have easy access to those services with easy JSON parsing. Sometimes it just makes lot of sense to pull just a small amount of data out of large JSON document received from a service, because the third party service isn't directly related to your application's logic most of the time - and it makes little sense to map the entire service structure in your application. For example, recently I worked with the Google Maps Places API to return information about businesses close to me (or rather the app's) location. The Google API returns a ton of information that my application had no interest in - all I needed was few values out of the data. Dynamic JSON parsing makes it possible to map this data, without having to map the entire API to a C# data structure. Instead I could pull out the three or four values I needed from the API and directly store it on my business entities that needed to receive the data - no need to map the entire Maps API structure. Getting JSON.NET The easiest way to use JSON.NET is to grab it via NuGet and add it as a reference to your project. You can add it to your project with: PM> Install-Package Newtonsoft.Json From the Package Manager Console or by using Manage NuGet Packages in your project References. As mentioned if you're using ASP.NET Web API or MVC 4 JSON.NET will be automatically added to your project. Alternately you can also go to the CodePlex site and download the latest version including source code: http://json.codeplex.com/ Creating JSON on the fly with JObject and JArray Let's start with creating some JSON on the fly. It's super easy to create a dynamic object structure with any of the JToken derived JSON.NET objects. The most common JToken derived classes you are likely to use are JObject and JArray. JToken implements IDynamicMetaProvider and so uses the dynamic  keyword extensively to make it intuitive to create object structures and turn them into JSON via dynamic object syntax. Here's an example of creating a music album structure with child songs using JObject for the base object and songs and JArray for the actual collection of songs:[TestMethod] public void JObjectOutputTest() { // strong typed instance var jsonObject = new JObject(); // you can explicitly add values here using class interface jsonObject.Add("Entered", DateTime.Now); // or cast to dynamic to dynamically add/read properties dynamic album = jsonObject; album.AlbumName = "Dirty Deeds Done Dirt Cheap"; album.Artist = "AC/DC"; album.YearReleased = 1976; album.Songs = new JArray() as dynamic; dynamic song = new JObject(); song.SongName = "Dirty Deeds Done Dirt Cheap"; song.SongLength = "4:11"; album.Songs.Add(song); song = new JObject(); song.SongName = "Love at First Feel"; song.SongLength = "3:10"; album.Songs.Add(song); Console.WriteLine(album.ToString()); } This produces a complete JSON structure: { "Entered": "2012-08-18T13:26:37.7137482-10:00", "AlbumName": "Dirty Deeds Done Dirt Cheap", "Artist": "AC/DC", "YearReleased": 1976, "Songs": [ { "SongName": "Dirty Deeds Done Dirt Cheap", "SongLength": "4:11" }, { "SongName": "Love at First Feel", "SongLength": "3:10" } ] } Notice that JSON.NET does a nice job formatting the JSON, so it's easy to read and paste into blog posts :-). JSON.NET includes a bunch of configuration options that control how JSON is generated. Typically the defaults are just fine, but you can override with the JsonSettings object for most operations. The important thing about this code is that there's no explicit type used for holding the values to serialize to JSON. Rather the JSON.NET objects are the containers that receive the data as I build up my JSON structure dynamically, simply by adding properties. This means this code can be entirely driven at runtime without compile time restraints of structure for the JSON output. Here I use JObject to create a album 'object' and immediately cast it to dynamic. JObject() is kind of similar in behavior to ExpandoObject in that it allows you to add properties by simply assigning to them. Internally, JObject values are stored in pseudo collections of key value pairs that are exposed as properties through the IDynamicMetaObject interface exposed in JSON.NET's JToken base class. For objects the syntax is very clean - you add simple typed values as properties. For objects and arrays you have to explicitly create new JObject or JArray, cast them to dynamic and then add properties and items to them. Always remember though these values are dynamic - which means no Intellisense and no compiler type checking. It's up to you to ensure that the names and values you create are accessed consistently and without typos in your code. Note that you can also access the JObject instance directly (not as dynamic) and get access to the underlying JObject type. This means you can assign properties by string, which can be useful for fully data driven JSON generation from other structures. Below you can see both styles of access next to each other:// strong type instance var jsonObject = new JObject(); // you can explicitly add values here jsonObject.Add("Entered", DateTime.Now); // expando style instance you can just 'use' properties dynamic album = jsonObject; album.AlbumName = "Dirty Deeds Done Dirt Cheap"; JContainer (the base class for JObject and JArray) is a collection so you can also iterate over the properties at runtime easily:foreach (var item in jsonObject) { Console.WriteLine(item.Key + " " + item.Value.ToString()); } The functionality of the JSON objects are very similar to .NET's ExpandObject and if you used it before, you're already familiar with how the dynamic interfaces to the JSON objects works. Importing JSON with JObject.Parse() and JArray.Parse() The JValue structure supports importing JSON via the Parse() and Load() methods which can read JSON data from a string or various streams respectively. Essentially JValue includes the core JSON parsing to turn a JSON string into a collection of JsonValue objects that can be then referenced using familiar dynamic object syntax. Here's a simple example:public void JValueParsingTest() { var jsonString = @"{""Name"":""Rick"",""Company"":""West Wind"", ""Entered"":""2012-03-16T00:03:33.245-10:00""}"; dynamic json = JValue.Parse(jsonString); // values require casting string name = json.Name; string company = json.Company; DateTime entered = json.Entered; Assert.AreEqual(name, "Rick"); Assert.AreEqual(company, "West Wind"); } The JSON string represents an object with three properties which is parsed into a JObject class and cast to dynamic. Once cast to dynamic I can then go ahead and access the object using familiar object syntax. Note that the actual values - json.Name, json.Company, json.Entered - are actually of type JToken and I have to cast them to their appropriate types first before I can do type comparisons as in the Asserts at the end of the test method. This is required because of the way that dynamic types work which can't determine the type based on the method signature of the Assert.AreEqual(object,object) method. I have to either assign the dynamic value to a variable as I did above, or explicitly cast ( (string) json.Name) in the actual method call. The JSON structure can be much more complex than this simple example. Here's another example of an array of albums serialized to JSON and then parsed through with JsonValue():[TestMethod] public void JsonArrayParsingTest() { var jsonString = @"[ { ""Id"": ""b3ec4e5c"", ""AlbumName"": ""Dirty Deeds Done Dirt Cheap"", ""Artist"": ""AC/DC"", ""YearReleased"": 1976, ""Entered"": ""2012-03-16T00:13:12.2810521-10:00"", ""AlbumImageUrl"": ""http://ecx.images-amazon.com/images/I/61kTaH-uZBL._AA115_.jpg"", ""AmazonUrl"": ""http://www.amazon.com/gp/product/…ASIN=B00008BXJ4"", ""Songs"": [ { ""AlbumId"": ""b3ec4e5c"", ""SongName"": ""Dirty Deeds Done Dirt Cheap"", ""SongLength"": ""4:11"" }, { ""AlbumId"": ""b3ec4e5c"", ""SongName"": ""Love at First Feel"", ""SongLength"": ""3:10"" }, { ""AlbumId"": ""b3ec4e5c"", ""SongName"": ""Big Balls"", ""SongLength"": ""2:38"" } ] }, { ""Id"": ""7b919432"", ""AlbumName"": ""End of the Silence"", ""Artist"": ""Henry Rollins Band"", ""YearReleased"": 1992, ""Entered"": ""2012-03-16T00:13:12.2800521-10:00"", ""AlbumImageUrl"": ""http://ecx.images-amazon.com/images/I/51FO3rb1tuL._SL160_AA160_.jpg"", ""AmazonUrl"": ""http://www.amazon.com/End-Silence-Rollins-Band/dp/B0000040OX/ref=sr_1_5?ie=UTF8&qid=1302232195&sr=8-5"", ""Songs"": [ { ""AlbumId"": ""7b919432"", ""SongName"": ""Low Self Opinion"", ""SongLength"": ""5:24"" }, { ""AlbumId"": ""7b919432"", ""SongName"": ""Grip"", ""SongLength"": ""4:51"" } ] } ]"; JArray jsonVal = JArray.Parse(jsonString) as JArray; dynamic albums = jsonVal; foreach (dynamic album in albums) { Console.WriteLine(album.AlbumName + " (" + album.YearReleased.ToString() + ")"); foreach (dynamic song in album.Songs) { Console.WriteLine("\t" + song.SongName); } } Console.WriteLine(albums[0].AlbumName); Console.WriteLine(albums[0].Songs[1].SongName); } JObject and JArray in ASP.NET Web API Of course these types also work in ASP.NET Web API controller methods. If you want you can accept parameters using these object or return them back to the server. The following contrived example receives dynamic JSON input, and then creates a new dynamic JSON object and returns it based on data from the first:[HttpPost] public JObject PostAlbumJObject(JObject jAlbum) { // dynamic input from inbound JSON dynamic album = jAlbum; // create a new JSON object to write out dynamic newAlbum = new JObject(); // Create properties on the new instance // with values from the first newAlbum.AlbumName = album.AlbumName + " New"; newAlbum.NewProperty = "something new"; newAlbum.Songs = new JArray(); foreach (dynamic song in album.Songs) { song.SongName = song.SongName + " New"; newAlbum.Songs.Add(song); } return newAlbum; } The raw POST request to the server looks something like this: POST http://localhost/aspnetwebapi/samples/PostAlbumJObject HTTP/1.1User-Agent: FiddlerContent-type: application/jsonHost: localhostContent-Length: 88 {AlbumName: "Dirty Deeds",Songs:[ { SongName: "Problem Child"},{ SongName: "Squealer"}]} and the output that comes back looks like this: {  "AlbumName": "Dirty Deeds New",  "NewProperty": "something new",  "Songs": [    {      "SongName": "Problem Child New"    },    {      "SongName": "Squealer New"    }  ]} The original values are echoed back with something extra appended to demonstrate that we're working with a new object. When you receive or return a JObject, JValue, JToken or JArray instance in a Web API method, Web API ignores normal content negotiation and assumes your content is going to be received and returned as JSON, so effectively the parameter and result type explicitly determines the input and output format which is nice. Dynamic to Strong Type Mapping You can also map JObject and JArray instances to a strongly typed object, so you can mix dynamic and static typing in the same piece of code. Using the 2 Album jsonString shown earlier, the code below takes an array of albums and picks out only a single album and casts that album to a static Album instance.[TestMethod] public void JsonParseToStrongTypeTest() { JArray albums = JArray.Parse(jsonString) as JArray; // pick out one album JObject jalbum = albums[0] as JObject; // Copy to a static Album instance Album album = jalbum.ToObject<Album>(); Assert.IsNotNull(album); Assert.AreEqual(album.AlbumName,jalbum.Value<string>("AlbumName")); Assert.IsTrue(album.Songs.Count > 0); } This is pretty damn useful for the scenario I mentioned earlier - you can read a large chunk of JSON and dynamically walk the property hierarchy down to the item you want to access, and then either access the specific item dynamically (as shown earlier) or map a part of the JSON to a strongly typed object. That's very powerful if you think about it - it leaves you in total control to decide what's dynamic and what's static. Strongly typed JSON Parsing With all this talk of dynamic let's not forget that JSON.NET of course also does strongly typed serialization which is drop dead easy. Here's a simple example on how to serialize and deserialize an object with JSON.NET:[TestMethod] public void StronglyTypedSerializationTest() { // Demonstrate deserialization from a raw string var album = new Album() { AlbumName = "Dirty Deeds Done Dirt Cheap", Artist = "AC/DC", Entered = DateTime.Now, YearReleased = 1976, Songs = new List<Song>() { new Song() { SongName = "Dirty Deeds Done Dirt Cheap", SongLength = "4:11" }, new Song() { SongName = "Love at First Feel", SongLength = "3:10" } } }; // serialize to string string json2 = JsonConvert.SerializeObject(album,Formatting.Indented); Console.WriteLine(json2); // make sure we can serialize back var album2 = JsonConvert.DeserializeObject<Album>(json2); Assert.IsNotNull(album2); Assert.IsTrue(album2.AlbumName == "Dirty Deeds Done Dirt Cheap"); Assert.IsTrue(album2.Songs.Count == 2); } JsonConvert is a high level static class that wraps lower level functionality, but you can also use the JsonSerializer class, which allows you to serialize/parse to and from streams. It's a little more work, but gives you a bit more control. The functionality available is easy to discover with Intellisense, and that's good because there's not a lot in the way of documentation that's actually useful. Summary JSON.NET is a pretty complete JSON implementation with lots of different choices for JSON parsing from dynamic parsing to static serialization, to complex querying of JSON objects using LINQ. It's good to see this open source library getting integrated into .NET, and pushing out the old and tired stock .NET parsers so that we finally have a bit more flexibility - and extensibility - in our JSON parsing. Good to go! Resources Sample Test Project http://json.codeplex.com/© Rick Strahl, West Wind Technologies, 2005-2012Posted in .NET  Web Api  AJAX   Tweet !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

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  • The OLE DB provider "SQLNCLI10.1" has not been registered.; 42000.

    - by lankylad
    I have a SQL Server 2008 Analysis Services Project. In the Data Source View I have a Named Query which references a single Data Source containing three tables. The Project processes successfully and the cube can be browsed. I recently added a second Data Source to the Data Source View and linked a table to the original Named Query. When I try to process the project, I get the message: OLE DB error: OLE DB or ODBC error: The OLE DB provider "SQLNCLI10.1" has not been registered.; 42000. The Connection String for both Data Sources uses SQLNCLI10.1

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  • Understanding and Controlling Parallel Query Processing in SQL Server

    Data warehousing and general reporting applications tend to be CPU intensive because they need to read and process a large number of rows. To facilitate quick data processing for queries that touch a large amount of data, Microsoft SQL Server exploits the power of multiple logical processors to provide parallel query processing operations such as parallel scans. Through extensive testing, we have learned that, for most large queries that are executed in a parallel fashion, SQL Server can deliver linear or nearly linear response time speedup as the number of logical processors increases. However, some queries in high parallelism scenarios perform suboptimally. There are also some parallelism issues that can occur in a multi-user parallel query workload. This white paper describes parallel performance problems you might encounter when you run such queries and workloads, and it explains why these issues occur. In addition, it presents how data warehouse developers can detect these issues, and how they can work around them or mitigate them.

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  • Using linked servers, OPENROWSET and OPENQUERY

    - by BuckWoody
    SQL Server has a few mechanisms to reach out to another server (even another server type) and query data from within a Transact-SQL statement. Among them are a set of stored credentials and information (called a Linked Server), a statement that uses a linked server called called OPENQUERY, another called OPENROWSET, and one called OPENDATASOURCE. This post isn’t about those particular functions or statements – hit the links for more if you’re new to those topics. I’m actually more concerned about where I see these used than the particular method. In many cases, a Linked server isn’t another Relational Database Management System (RDMBS) like Oracle or DB2 (which is possible with a linked server), but another SQL Server. My concern is that linked servers are the new Data Transformation Services (DTS) from SQL Server 2000 – something that was designed for one purpose but which is being morphed into something much more. In the case of DTS, most of us turned that feature into a full-fledged job system. What was designed as a simple data import and export system has been pressed into service doing logic, routing and timing. And of course we all know how painful it was to move off of a complex DTS system onto SQL Server Integration Services. In the case of linked servers, what should be used as a method of running a simple query or two on another server where you have occasional connection or need a quick import of a small data set is morphing into a full federation strategy. In some cases I’ve seen a complex web of linked servers, and when credentials, names or anything else changes there are huge problems. Now don’t get me wrong – linked servers and other forms of distributing queries is a fantastic set of tools that we have to move data around. I’m just saying that when you start having lots of workarounds and when things get really complicated, you might want to step back a little and ask if there’s a better way. Are you able to tolerate some latency? Perhaps you’re able to use Service Broker. Would you like to be platform-independent on the data source? Perhaps a middle-tier might make more sense, abstracting the queries there and sending them to the proper server. Designed properly, I’ve seen these systems scale further and be more resilient than loading up on linked servers. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Using jQuery, CKEditor, AJAX in ASP.NET MVC 2

    - by Ray Linder
    After banging my head for days on a “A potentially dangerous Request.Form value was detected" issue when post (ajax-ing) a form in ASP.NET MVC 2 on .NET 4.0 framework using jQuery and CKEditor, I found that when you use the following: Code Snippet $.ajax({     url: '/TheArea/Root/Add',     type: 'POST',     data: $("#form0Add").serialize(),     dataType: 'json',     //contentType: 'application/json; charset=utf-8',     beforeSend: function ()     {         pageNotify("NotifyMsgContentDiv", "MsgDefaultDiv", '<img src="/Content/images/content/icons/busy.gif" /> Adding post, please wait...', 300, "", true);         $("#btnAddSubmit").val("Please wait...").addClass("button-disabled").attr("disabled", "disabled");     },     success: function (data)     {         $("#btnAddSubmit").val("Add New Post").removeClass("button-disabled").removeAttr('disabled');         redirectToUrl("/Exhibitions");     },     error: function ()     {         pageNotify("NotifyMsgContentDiv", "MsgErrorDiv", '<img src="/Content/images/content/icons/cross.png" /> Could not add post. Please try again or contact your web administrator.', 6000, "normal");         $("#btnAddSubmit").val("Add New Post").removeClass("button-disabled").removeAttr('disabled');     } }); Notice the following: Code Snippet data: $("#form0Add").serialize(), You may run into the “A potentially dangerous Request.Form value was detected" issue with this. One of the requirements was NOT to disable ValidateRequest (ValidateRequest=”false”). For this project (and any other project) I felt it wasn’t necessary to disable ValidateRequest. Note: I’ve search for alternatives for the posting issue and everyone and their mothers continually suggested to disable ValidateRequest. That bothers me – a LOT. So, disabling ValidateRequest is totally out of the question (and always will be).  So I thought to modify how the “data: “ gets serialized. the ajax data fix was simple, add a .html(). YES!!! IT WORKS!!! No more “potentially dangerous” issue, ajax form posts (and does it beautifully)! So if you’re using jQuery to $.ajax() a form with CKEditor, remember to do: Code Snippet data: $("#form0Add").serialize().html(), or bad things will happen. Also, don’t forget to set Code Snippet config.htmlEncodeOutput = true; for the CKEditor config.js file (or equivalent). Example: Code Snippet CKEDITOR.editorConfig = function( config ) {     // Define changes to default configuration here. For example:     // config.language = 'fr';     config.uiColor = '#ccddff';     config.width = 640;     config.ignoreEmptyParagraph = true;     config.resize_enabled = false;     config.skin = 'kama';     config.enterMode = CKEDITOR.ENTER_BR;       config.toolbar = 'MyToolbar';     config.toolbar_MyToolbar =     [         ['Bold', 'Italic', 'Underline'],         ['JustifyLeft', 'JustifyCenter', 'JustifyRight', 'JustifyBlock', 'Font', 'FontSize', 'TextColor', 'BGColor'],         ['BulletedList', 'NumberedList', '-', 'Outdent', 'Indent'],         '/',         ['Scayt', '-', 'Cut', 'Copy', 'Paste', 'Find'],         ['Undo', 'Redo'],         ['Link', 'Unlink', 'Anchor', 'Image', 'Flash', 'HorizontalRule'],         ['Table'],         ['Preview', 'Source']     ];     config.htmlEncodeOutput = true; }; Happy coding!!! Tags: jQuery ASP.NET MVC 2 ASP.NET 4.0 AJAX

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  • Adding Client Validation To DataAnnotations DataType Attribute

    - by srkirkland
    The System.ComponentModel.DataAnnotations namespace contains a validation attribute called DataTypeAttribute, which takes an enum specifying what data type the given property conforms to.  Here are a few quick examples: public class DataTypeEntity { [DataType(DataType.Date)] public DateTime DateTime { get; set; }   [DataType(DataType.EmailAddress)] public string EmailAddress { get; set; } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } This attribute comes in handy when using ASP.NET MVC, because the type you specify will determine what “template” MVC uses.  Thus, for the DateTime property if you create a partial in Views/[loc]/EditorTemplates/Date.ascx (or cshtml for razor), that view will be used to render the property when using any of the Html.EditorFor() methods. One thing that the DataType() validation attribute does not do is any actual validation.  To see this, let’s take a look at the EmailAddress property above.  It turns out that regardless of the value you provide, the entity will be considered valid: //valid new DataTypeEntity {EmailAddress = "Foo"}; .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Hmmm.  Since DataType() doesn’t validate, that leaves us with two options: (1) Create our own attributes for each datatype to validate, like [Date], or (2) add validation into the DataType attribute directly.  In this post, I will show you how to hookup client-side validation to the existing DataType() attribute for a desired type.  From there adding server-side validation would be a breeze and even writing a custom validation attribute would be simple (more on that in future posts). Validation All The Way Down Our goal will be to leave our DataTypeEntity class (from above) untouched, requiring no reference to System.Web.Mvc.  Then we will make an ASP.NET MVC project that allows us to create a new DataTypeEntity and hookup automatic client-side date validation using the suggested “out-of-the-box” jquery.validate bits that are included with ASP.NET MVC 3.  For simplicity I’m going to focus on the only DateTime field, but the concept is generally the same for any other DataType. Building a DataTypeAttribute Adapter To start we will need to build a new validation adapter that we can register using ASP.NET MVC’s DataAnnotationsModelValidatorProvider.RegisterAdapter() method.  This method takes two Type parameters; The first is the attribute we are looking to validate with and the second is an adapter that should subclass System.Web.Mvc.ModelValidator. Since we are extending DataAnnotations we can use the subclass of ModelValidator called DataAnnotationsModelValidator<>.  This takes a generic argument of type DataAnnotations.ValidationAttribute, which lucky for us means the DataTypeAttribute will fit in nicely. So starting from there and implementing the required constructor, we get: public class DataTypeAttributeAdapter : DataAnnotationsModelValidator<DataTypeAttribute> { public DataTypeAttributeAdapter(ModelMetadata metadata, ControllerContext context, DataTypeAttribute attribute) : base(metadata, context, attribute) { } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Now you have a full-fledged validation adapter, although it doesn’t do anything yet.  There are two methods you can override to add functionality, IEnumerable<ModelValidationResult> Validate(object container) and IEnumerable<ModelClientValidationRule> GetClientValidationRules().  Adding logic to the server-side Validate() method is pretty straightforward, and for this post I’m going to focus on GetClientValidationRules(). Adding a Client Validation Rule Adding client validation is now incredibly easy because jquery.validate is very powerful and already comes with a ton of validators (including date and regular expressions for our email example).  Teamed with the new unobtrusive validation javascript support we can make short work of our ModelClientValidationDateRule: public class ModelClientValidationDateRule : ModelClientValidationRule { public ModelClientValidationDateRule(string errorMessage) { ErrorMessage = errorMessage; ValidationType = "date"; } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } If your validation has additional parameters you can the ValidationParameters IDictionary<string,object> to include them.  There is a little bit of conventions magic going on here, but the distilled version is that we are defining a “date” validation type, which will be included as html5 data-* attributes (specifically data-val-date).  Then jquery.validate.unobtrusive takes this attribute and basically passes it along to jquery.validate, which knows how to handle date validation. Finishing our DataTypeAttribute Adapter Now that we have a model client validation rule, we can return it in the GetClientValidationRules() method of our DataTypeAttributeAdapter created above.  Basically I want to say if DataType.Date was provided, then return the date rule with a given error message (using ValidationAttribute.FormatErrorMessage()).  The entire adapter is below: public class DataTypeAttributeAdapter : DataAnnotationsModelValidator<DataTypeAttribute> { public DataTypeAttributeAdapter(ModelMetadata metadata, ControllerContext context, DataTypeAttribute attribute) : base(metadata, context, attribute) { }   public override System.Collections.Generic.IEnumerable<ModelClientValidationRule> GetClientValidationRules() { if (Attribute.DataType == DataType.Date) { return new[] { new ModelClientValidationDateRule(Attribute.FormatErrorMessage(Metadata.GetDisplayName())) }; }   return base.GetClientValidationRules(); } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Putting it all together Now that we have an adapter for the DataTypeAttribute, we just need to tell ASP.NET MVC to use it.  The easiest way to do this is to use the built in DataAnnotationsModelValidatorProvider by calling RegisterAdapter() in your global.asax startup method. DataAnnotationsModelValidatorProvider.RegisterAdapter(typeof(DataTypeAttribute), typeof(DataTypeAttributeAdapter)); .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Show and Tell Let’s see this in action using a clean ASP.NET MVC 3 project.  First make sure to reference the jquery, jquery.vaidate and jquery.validate.unobtrusive scripts that you will need for client validation. Next, let’s make a model class (note we are using the same built-in DataType() attribute that comes with System.ComponentModel.DataAnnotations). public class DataTypeEntity { [DataType(DataType.Date, ErrorMessage = "Please enter a valid date (ex: 2/14/2011)")] public DateTime DateTime { get; set; } } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Then we make a create page with a strongly-typed DataTypeEntity model, the form section is shown below (notice we are just using EditorForModel): @using (Html.BeginForm()) { @Html.ValidationSummary(true) <fieldset> <legend>Fields</legend>   @Html.EditorForModel()   <p> <input type="submit" value="Create" /> </p> </fieldset> } .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } The final step is to register the adapter in our global.asax file: DataAnnotationsModelValidatorProvider.RegisterAdapter(typeof(DataTypeAttribute), typeof(DataTypeAttributeAdapter)); Now we are ready to run the page: Looking at the datetime field’s html, we see that our adapter added some data-* validation attributes: <input type="text" value="1/1/0001" name="DateTime" id="DateTime" data-val-required="The DateTime field is required." data-val-date="Please enter a valid date (ex: 2/14/2011)" data-val="true" class="text-box single-line valid"> .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } Here data-val-required was added automatically because DateTime is non-nullable, and data-val-date was added by our validation adapter.  Now if we try to add an invalid date: Our custom error message is displayed via client-side validation as soon as we tab out of the box.  If we didn’t include a custom validation message, the default DataTypeAttribute “The field {0} is invalid” would have been shown (of course we can change the default as well).  Note we did not specify server-side validation, but in this case we don’t have to because an invalid date will cause a server-side error during model binding. Conclusion I really like how easy it is to register new data annotations model validators, whether they are your own or, as in this post, supplements to existing validation attributes.  I’m still debating about whether adding the validation directly in the DataType attribute is the correct place to put it versus creating a dedicated “Date” validation attribute, but it’s nice to know either option is available and, as we’ve seen, simple to implement. I’m also working through the nascent stages of an open source project that will create validation attribute extensions to the existing data annotations providers using similar techniques as seen above (examples: Email, Url, EqualTo, Min, Max, CreditCard, etc).  Keep an eye on this blog and subscribe to my twitter feed (@srkirkland) if you are interested for announcements.

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  • Safari 5 certified with EBS Release 12 on Apple Mac OS X 10.5 and 10.6

    - by John Abraham
    Oracle E-Business Suite Release 12 (12.0.4 or higher, and 12.1.2 or higher) is now certified with the Safari 5 browser on the following Apple Mac OS X desktop configurations:Mac OS X 10.5 ("Leopard")Mac OS X 10.5 ("Leopard" version 10.5.6 or higher) along with any other security and Java updates listed in the 'Software Update' program on the MacSafari version 5 (5.0.2 or higher)Apple Java/JRE plugin 5 (1.5.0_13 or higher)Mac OS X 10.6 ("Snow Leopard")Mac OS X 10.6 ("Snow Leopard" version 10.6.3 or higher) along with any other security and Java updates listed in the 'Software Update' program on the Mac.Safari version 5 (5.0.2 or higher)Apple Java/JRE plugin 6 (1.6.0_20 or higher)

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  • The OLE DB provider "SQLNCLI10.1" has not been registered.; 42000

    - by lankylad
    I have a SQL Server 2008 Analysis Services Project. In the Data Source View I have a Named Query which references a single Data Source containing three tables. The Project processes successfully and the cube can be browsed. I recently added a second Data Source to the Data Source View and linked a table to the original Named Query. When I try to process the project, I get the message: OLE DB error: OLE DB or ODBC error: The OLE DB provider "SQLNCLI10.1" has not been registered.; 42000. The Connection String for both Data Sources uses SQLNCLI10.1

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  • Interesting things – Twitter annotations and your phone as a web server

    - by jamiet
    I overheard/read a couple of things today that really made me, data junkie that I am, take a step back and think, “Hmmm, yeah, that could be really interesting” and I wanted to make a note of them here so that (a) I could bring them to the attention of anyone that happens to read this and (b) I can maybe come back here in a few years and see if either of these have come to fruition. Your phone as a web server While listening to Jon Udell’s (twitter) “Interviews with Innovators Podcast” today in which he interviewed Herbert Van de Sompel (twitter) about his Momento project. During the interview Jon and Herbert made the following remarks: Jon: [some people] really had this vision of a web of servers, the notion that every node on the internet, every connected entity, is potentially a server and a client…we can see where we’re getting to a point where these endpoint devices we have in our pockets are going to be massively capable and it may be in the not too distant future that significant chunks of the web archive will be cached all over the place including on your own machine… Herbert: wasn’t it Opera who at one point turned your browser into a server? That really got my brain ticking. We all carry a mobile phone with us and therefore we all potentially carry a mobile web server with us as well and to my mind the only thing really stopping that from happening is the capabilities of the phone hardware, the capabilities of the network infrastructure and the will to just bloody do it. Certainly all the standards required for addressing a web server on a phone already exist (to this uninitiated observer DNS and IPv6 seem to solve that problem) so why not? I tweeted about the idea and Rory Street answered back with “why would you want a phone to be a web server?”: Its a fair question and one that I would like to try and answer. Mobile phones are increasingly becoming our window onto the world as we use them to upload messages to Twitter, record our location on FourSquare or interact with our friends on Facebook but in each of these cases some other service is acting as our intermediary; to see what I’m thinking you have to go via Twitter, to see where I am you have to go to FourSquare (I’m using ‘I’ liberally, I don’t actually use FourSquare before you ask). Why should this have to be the case? Why can’t that data be decentralised? Why can’t we be masters of our own data universe? If my phone acted as a web server then I could expose all of that information without needing those intermediary services. I see a time when we can pass around URLs such as the following: http://jamiesphone.net/location/current - Where is Jamie right now? http://jamiesphone.net/location/2010-04-21 – Where was Jamie on 21st April 2010? http://jamiesphone.net/thoughts/current – What’s on Jamie’s mind right now? http://jamiesphone.net/blog – What documents is Jamie sharing with me? http://jamiesphone.net/calendar/next7days – Where is Jamie planning to be over the next 7 days? and those URLs get served off of the phone in our pockets. If we govern that data then we can control who has access to it and (crucially) how long its available for. Want to wipe yourself off the face of the web? its pretty easy if you’re in control of all the data – just turn your phone off. None of this exists today but I look forward to a time when it does. Opera really were onto something last June when they announced Opera Unite (admittedly Unite only works because Opera provide an intermediary DNS-alike system – it isn’t totally decentralised). Opening up Twitter annotations Last week Twitter held their first developer conference called Chirp where they announced an upcoming new feature called ‘Twitter Annotations’; in short this will allow us to attach metadata to a Tweet thus enhancing the tweet itself. Think of it as a richer version of hashtags. To think of it another way Twitter are turning their data into a humongous Entity-Attribute-Value or triple-tuple store. That alone has huge implications both for the web and Twitter as a whole – the ability to enrich that 140 characters data and thus make it more useful is indeed compelling however today I stumbled upon a blog post from Eugene Mandel entitled Tweet Annotations – a Way to a Metadata Marketplace? where he proposed the idea of allowing tweets to have metadata added by people other than the person who tweeted the original tweet. This idea really fascinated me especially when I read some of the potential uses that Eugene and his commenters suggested. They included: Amazon could attach an ISBN to a tweet that mentions a book. Specialist clients apps for book lovers could be built up around this metadata. Advertisers could pay to place adverts in metadata. The revenue generated from those adverts could be shared with the tweeter or people who add the metadata. Granted, allowing anyone to add metadata to a tweet has the potential to create a spam problem the like of which we haven’t even envisaged but spam hasn’t halted the growth of the web and neither should it halt the growth of data annotations either. The original tweeter should of course be able to determine who can add metadata and whether it should be moderated. As Eugene says himself: Opening publishing tweet annotations to anyone will open the way to a marketplace of metadata where client developers, data mining companies and advertisers can add new meaning to Twitter and build innovative businesses. What Eugene and his followers did not mention is what I think is potentially the most fascinating use of opening up annotations. Google’s success today is built on their page rank algorithm that measures the validity of a web page by the number of incoming links to it and the page rank of the sites containing those links – its a system built on reputation. Twitter annotations could open up a new paradigm however – let’s call it People rank- where reputation can be measured by the metadata that people choose to apply to links and the websites containing those links. Its not hard to see why Google and Microsoft have paid big bucks to get access to the Twitter firehose! Neither of these features, phones as a web server or the ability to add annotations to other people’s tweets, exist today but I strongly believe that they could dramatically enhance the web as we know it today. I hope to look back on this blog post in a few years in the knowledge that these ideas have been put into place. @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • which performance counters mainly matter for windows server performance?

    - by Karl Cassar
    We have a website which is sometimes performing slowly, and / or completely hangs. I have setted up temporarily the default system performance data collector in Performance Monitor, to see if this can shed some light. However, the default Data Collector set collects a huge amount of counters, as well as generates huge logs files. Just 8 hours of data resulted in 4GB of data. Which performance counters matter the most, when judging server load? Also, is it a performance concern if one leaves such data-collectors running indefinitely? Obviously, I will not know when the server will experience slow performance, so I need the logs there so that I can check them out. Any other specific guidelines on monitoring server performance would be greatly appreciated. OS is a Windows Server 2008 R2 (Web Edition).

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  • Test Drive Windows 7 Online with Virtual Labs

    - by Matthew Guay
    Did you miss out on the Windows 7 public beta and want to try it out before you actually make the leap and upgrade? Maybe you want to learn how to deploy new features in a business environment. Here’s how you can test drive Windows 7 directly from your browser. Whether you manage 10,000 desktops or simply manage your own laptop, it’s usually best to test out a new OS before installing it.  If you’re upgrading from Windows XP you may find many things unfamiliar.  Microsoft has setup a special Windows 7 Test Drive website with resources to help IT professionals test and deploy Windows 7 in their workplaces.  This is a great resource to try out Windows 7 from the comfort of your browser, and look at some of the new features without even installing it. Please note that the online version is not nearly as responsive as a full standard install of Windows 7.  It also does not run the full Aero interface or desktop effects, and may refresh slowly depending on your Internet connection.  So don’t judge Windows 7’s performance based on this virtual lab, but use it as a way to learn more about Windows 7 without installing it. Getting Started To test drive Windows 7, visit Microsoft’s Windows 7 Test Drive website (link below).  You will need to run the Windows 7 Test Drive in Internet Explorer, as it requires Active X support.  We received this error when attempting to run the Test Drive in Firefox: Now, click the “Take a Test Drive” link on the bottom left of the page. This site includes several test drives to demonstrate different features of Windows 7 and its related ecosystem of products including Windows Server 2008 R2, some of which, including the XP Mode test drive, are not yet ready.  For this test, we selected the MED-V Test drive, as this includes Office 2007 and 2010 so you can test them in Windows 7 as well.  Simply select the test drive you want, and click “Try it now!”   If you haven’t run a Windows test drive before, you will be asked to install an ActiveX control.  Click the link to install. Click the yellow bar at the top of the page in Internet Explorer, and select to Install the add-on.  You may have to approve a UAC prompt to finish the install. Once this is finished, click the link on the bottom of the page to return to your test drive.  The test drive page should automatically refresh; if it doesn’t, click refresh to reload it. Now the test drive will load the components.   Once its fully loaded, click the link to launch Windows 7 in a new window. You may see a prompt warning that the server may have been impersonated.  Simply click Yes to proceed. The test lab will give you some getting started directions; click Close Window when you’re ready to try out Windows 7. Here’s the default desktop in the Windows 7 test drive.  You can use it just like a normal Windows computer, but do note that it may function slowly depending on your internet connection.   This test drive includes both Office 2007 and Office 2010 Tech Preview, so you can try out both in Windows 7 as well. You can try out the new Windows 7 applications such as the reworked Paint with the Ribbon interface from Office. Or you can even test the newest version of Media Center, though it will warn you that it may not function good with the down-scaled graphics in the test drive.   Most importantly, you can try out the new features in Windows 7, such as Jumplists and even Aero Snap.  Once again, these features will not function the quickest, but it does let you test them out. While working with the Virtual Lab, there are different tasks it walks you through. You can also download a copy of the lab manual in PDF format to help you navigate through the various objectives. The test drive system is running Microsoft Forefront Security, the enterprise security solution from which Microsoft Security Essentials has adapted components from. Conclusion These virtual labs are great for tech students, or those of you who want to get a first-hand trial of the new features. Also, if you’re not sure on how to deploy something and want to practice in a virtual environment, these labs are quite valuable.While these labs are geared toward IT professionals, it’s a good way for anyone to try out Windows 7 features from the comfort of your current computer. Test Drive Windows 7 Similar Articles Productive Geek Tips Mount Multiple ISO Images Using Virtual CloneDriveHow To Delete a VHD in Windows 7Keyboard Shortcuts for VMware WorkstationMount an ISO image in Windows 7 or VistaHow To Turn a Physical Computer Into A Virtual Machine with Disk2vhd TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 If it were only this easy SyncToy syncs Files and Folders across Computers on a Network (or partitions on the same drive) Classic Cinema Online offers 100’s of OnDemand Movies OutSync will Sync Photos of your Friends on Facebook and Outlook Windows 7 Easter Theme YoWindoW, a real time weather screensaver

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  • SQL Server 2012 - AlwaysOn

    - by Claus Jandausch
    Ich war nicht nur irritiert, ich war sogar regelrecht schockiert - und für einen kurzen Moment sprachlos (was nur selten der Fall ist). Gerade eben hatte mich jemand gefragt "Wann Oracle denn etwas Vergleichbares wie AlwaysOn bieten würde - und ob überhaupt?" War ich hier im falschen Film gelandet? Ich konnte nicht anders, als meinen Unmut kundzutun und zu erklären, dass die Fragestellung normalerweise anders herum läuft. Zugegeben - es mag vielleicht strittige Punkte geben im Vergleich zwischen Oracle und SQL Server - bei denen nicht unbedingt immer Oracle die Nase vorn haben muss - aber das Thema Clustering für Hochverfügbarkeit (HA), Disaster Recovery (DR) und Skalierbarkeit gehört mit Sicherheit nicht dazu. Dieses Erlebnis hakte ich am Nachgang als Einzelfall ab, der so nie wieder vorkommen würde. Bis ich kurz darauf eines Besseren belehrt wurde und genau die selbe Frage erneut zu hören bekam. Diesmal sogar im Exadata-Umfeld und einem Oracle Stretch Cluster. Einmal ist keinmal, doch zweimal ist einmal zu viel... Getreu diesem alten Motto war mir klar, dass man das so nicht länger stehen lassen konnte. Ich habe keine Ahnung, wie die Microsoft Marketing Abteilung es geschafft hat, unter dem AlwaysOn Brading eine innovative Technologie vermuten zu lassen - aber sie hat ihren Job scheinbar gut gemacht. Doch abgesehen von einem guten Marketing, stellt sich natürlich die Frage, was wirklich dahinter steckt und wie sich das Ganze mit Oracle vergleichen lässt - und ob überhaupt? Damit wären wir wieder bei der ursprünglichen Frage angelangt.  So viel zum Hintergrund dieses Blogbeitrags - von meiner Antwort handelt der restliche Blog. "Windows was the God ..." Um den wahren Unterschied zwischen Oracle und Microsoft verstehen zu können, muss man zunächst das bedeutendste Microsoft Dogma kennen. Es lässt sich schlicht und einfach auf den Punkt bringen: "Alles muss auf Windows basieren." Die Überschrift dieses Absatzes ist kein von mir erfundener Ausspruch, sondern ein Zitat. Konkret stammt es aus einem längeren Artikel von Kurt Eichenwald in der Vanity Fair aus dem August 2012. Er lautet Microsoft's Lost Decade und sei jedem ans Herz gelegt, der die "Microsoft-Maschinerie" unter Steve Ballmer und einige ihrer Kuriositäten besser verstehen möchte. "YOU TALKING TO ME?" Microsoft C.E.O. Steve Ballmer bei seiner Keynote auf der 2012 International Consumer Electronics Show in Las Vegas am 9. Januar   Manche Dinge in diesem Artikel mögen überspitzt dargestellt erscheinen - sind sie aber nicht. Vieles davon kannte ich bereits aus eigener Erfahrung und kann es nur bestätigen. Anderes hat sich mir erst so richtig erschlossen. Insbesondere die folgenden Passagen führten zum Aha-Erlebnis: “Windows was the god—everything had to work with Windows,” said Stone... “Every little thing you want to write has to build off of Windows (or other existing roducts),” one software engineer said. “It can be very confusing, …” Ich habe immer schon darauf hingewiesen, dass in einem SQL Server Failover Cluster die Microsoft Datenbank eigentlich nichts Nenneswertes zum Geschehen beiträgt, sondern sich voll und ganz auf das Windows Betriebssystem verlässt. Deshalb muss man auch die Windows Server Enterprise Edition installieren, soll ein Failover Cluster für den SQL Server eingerichtet werden. Denn hier werden die Cluster Services geliefert - nicht mit dem SQL Server. Er ist nur lediglich ein weiteres Server Produkt, für das Windows in Ausfallszenarien genutzt werden kann - so wie Microsoft Exchange beispielsweise, oder Microsoft SharePoint, oder irgendein anderes Server Produkt das auf Windows gehostet wird. Auch Oracle kann damit genutzt werden. Das Stichwort lautet hier: Oracle Failsafe. Nur - warum sollte man das tun, wenn gleichzeitig eine überlegene Technologie wie die Oracle Real Application Clusters (RAC) zur Verfügung steht, die dann auch keine Windows Enterprise Edition voraussetzen, da Oracle die eigene Clusterware liefert. Welche darüber hinaus für kürzere Failover-Zeiten sorgt, da diese Cluster-Technologie Datenbank-integriert ist und sich nicht auf "Dritte" verlässt. Wenn man sich also schon keine technischen Vorteile mit einem SQL Server Failover Cluster erkauft, sondern zusätzlich noch versteckte Lizenzkosten durch die Lizenzierung der Windows Server Enterprise Edition einhandelt, warum hat Microsoft dann in den vergangenen Jahren seit SQL Server 2000 nicht ebenfalls an einer neuen und innovativen Lösung gearbeitet, die mit Oracle RAC mithalten kann? Entwickler hat Microsoft genügend? Am Geld kann es auch nicht liegen? Lesen Sie einfach noch einmal die beiden obenstehenden Zitate und sie werden den Grund verstehen. Anders lässt es sich ja auch gar nicht mehr erklären, dass AlwaysOn aus zwei unterschiedlichen Technologien besteht, die beide jedoch wiederum auf dem Windows Server Failover Clustering (WSFC) basieren. Denn daraus ergeben sich klare Nachteile - aber dazu später mehr. Um AlwaysOn zu verstehen, sollte man sich zunächst kurz in Erinnerung rufen, was Microsoft bisher an HA/DR (High Availability/Desaster Recovery) Lösungen für SQL Server zur Verfügung gestellt hat. Replikation Basiert auf logischer Replikation und Pubisher/Subscriber Architektur Transactional Replication Merge Replication Snapshot Replication Microsoft's Replikation ist vergleichbar mit Oracle GoldenGate. Oracle GoldenGate stellt jedoch die umfassendere Technologie dar und bietet High Performance. Log Shipping Microsoft's Log Shipping stellt eine einfache Technologie dar, die vergleichbar ist mit Oracle Managed Recovery in Oracle Version 7. Das Log Shipping besitzt folgende Merkmale: Transaction Log Backups werden von Primary nach Secondary/ies geschickt Einarbeitung (z.B. Restore) auf jedem Secondary individuell Optionale dritte Server Instanz (Monitor Server) für Überwachung und Alarm Log Restore Unterbrechung möglich für Read-Only Modus (Secondary) Keine Unterstützung von Automatic Failover Database Mirroring Microsoft's Database Mirroring wurde verfügbar mit SQL Server 2005, sah aus wie Oracle Data Guard in Oracle 9i, war funktional jedoch nicht so umfassend. Für ein HA/DR Paar besteht eine 1:1 Beziehung, um die produktive Datenbank (Principle DB) abzusichern. Auf der Standby Datenbank (Mirrored DB) werden alle Insert-, Update- und Delete-Operationen nachgezogen. Modi Synchron (High-Safety Modus) Asynchron (High-Performance Modus) Automatic Failover Unterstützt im High-Safety Modus (synchron) Witness Server vorausgesetzt     Zur Frage der Kontinuität Es stellt sich die Frage, wie es um diesen Technologien nun im Zusammenhang mit SQL Server 2012 bestellt ist. Unter Fanfaren seinerzeit eingeführt, war Database Mirroring das erklärte Mittel der Wahl. Ich bin kein Produkt Manager bei Microsoft und kann hierzu nur meine Meinung äußern, aber zieht man den SQL AlwaysOn Team Blog heran, so sieht es nicht gut aus für das Database Mirroring - zumindest nicht langfristig. "Does AlwaysOn Availability Group replace Database Mirroring going forward?” “The short answer is we recommend that you migrate from the mirroring configuration or even mirroring and log shipping configuration to using Availability Group. Database Mirroring will still be available in the Denali release but will be phased out over subsequent releases. Log Shipping will continue to be available in future releases.” Damit wären wir endlich beim eigentlichen Thema angelangt. Was ist eine sogenannte Availability Group und was genau hat es mit der vielversprechend klingenden Bezeichnung AlwaysOn auf sich?   SQL Server 2012 - AlwaysOn Zwei HA-Features verstekcne sich hinter dem “AlwaysOn”-Branding. Einmal das AlwaysOn Failover Clustering aka SQL Server Failover Cluster Instances (FCI) - zum Anderen die AlwaysOn Availability Groups. Failover Cluster Instances (FCI) Entspricht ungefähr dem Stretch Cluster Konzept von Oracle Setzt auf Windows Server Failover Clustering (WSFC) auf Bietet HA auf Instanz-Ebene AlwaysOn Availability Groups (Verfügbarkeitsgruppen) Ähnlich der Idee von Consistency Groups, wie in Storage-Level Replikations-Software von z.B. EMC SRDF Abhängigkeiten zu Windows Server Failover Clustering (WSFC) Bietet HA auf Datenbank-Ebene   Hinweis: Verwechseln Sie nicht eine SQL Server Datenbank mit einer Oracle Datenbank. Und auch nicht eine Oracle Instanz mit einer SQL Server Instanz. Die gleichen Begriffe haben hier eine andere Bedeutung - nicht selten ein Grund, weshalb Oracle- und Microsoft DBAs schnell aneinander vorbei reden. Denken Sie bei einer SQL Server Datenbank eher an ein Oracle Schema, das kommt der Sache näher. So etwas wie die SQL Server Northwind Datenbank ist vergleichbar mit dem Oracle Scott Schema. Wenn Sie die genauen Unterschiede kennen möchten, finden Sie eine detaillierte Beschreibung in meinem Buch "Oracle10g Release 2 für Windows und .NET", erhältich bei Lehmanns, Amazon, etc.   Windows Server Failover Clustering (WSFC) Wie man sieht, basieren beide AlwaysOn Technologien wiederum auf dem Windows Server Failover Clustering (WSFC), um einerseits Hochverfügbarkeit auf Ebene der Instanz zu gewährleisten und andererseits auf der Datenbank-Ebene. Deshalb nun eine kurze Beschreibung der WSFC. Die WSFC sind ein mit dem Windows Betriebssystem geliefertes Infrastruktur-Feature, um HA für Server Anwendungen, wie Microsoft Exchange, SharePoint, SQL Server, etc. zu bieten. So wie jeder andere Cluster, besteht ein WSFC Cluster aus einer Gruppe unabhängiger Server, die zusammenarbeiten, um die Verfügbarkeit einer Applikation oder eines Service zu erhöhen. Falls ein Cluster-Knoten oder -Service ausfällt, kann der auf diesem Knoten bisher gehostete Service automatisch oder manuell auf einen anderen im Cluster verfügbaren Knoten transferriert werden - was allgemein als Failover bekannt ist. Unter SQL Server 2012 verwenden sowohl die AlwaysOn Avalability Groups, als auch die AlwaysOn Failover Cluster Instances die WSFC als Plattformtechnologie, um Komponenten als WSFC Cluster-Ressourcen zu registrieren. Verwandte Ressourcen werden in eine Ressource Group zusammengefasst, die in Abhängigkeit zu anderen WSFC Cluster-Ressourcen gebracht werden kann. Der WSFC Cluster Service kann jetzt die Notwendigkeit zum Neustart der SQL Server Instanz erfassen oder einen automatischen Failover zu einem anderen Server-Knoten im WSFC Cluster auslösen.   Failover Cluster Instances (FCI) Eine SQL Server Failover Cluster Instanz (FCI) ist eine einzelne SQL Server Instanz, die in einem Failover Cluster betrieben wird, der aus mehreren Windows Server Failover Clustering (WSFC) Knoten besteht und so HA (High Availability) auf Ebene der Instanz bietet. Unter Verwendung von Multi-Subnet FCI kann auch Remote DR (Disaster Recovery) unterstützt werden. Eine weitere Option für Remote DR besteht darin, eine unter FCI gehostete Datenbank in einer Availability Group zu betreiben. Hierzu später mehr. FCI und WSFC Basis FCI, das für lokale Hochverfügbarkeit der Instanzen genutzt wird, ähnelt der veralteten Architektur eines kalten Cluster (Aktiv-Passiv). Unter SQL Server 2008 wurde diese Technologie SQL Server 2008 Failover Clustering genannt. Sie nutzte den Windows Server Failover Cluster. In SQL Server 2012 hat Microsoft diese Basistechnologie unter der Bezeichnung AlwaysOn zusammengefasst. Es handelt sich aber nach wie vor um die klassische Aktiv-Passiv-Konfiguration. Der Ablauf im Failover-Fall ist wie folgt: Solange kein Hardware-oder System-Fehler auftritt, werden alle Dirty Pages im Buffer Cache auf Platte geschrieben Alle entsprechenden SQL Server Services (Dienste) in der Ressource Gruppe werden auf dem aktiven Knoten gestoppt Die Ownership der Ressource Gruppe wird auf einen anderen Knoten der FCI transferriert Der neue Owner (Besitzer) der Ressource Gruppe startet seine SQL Server Services (Dienste) Die Connection-Anforderungen einer Client-Applikation werden automatisch auf den neuen aktiven Knoten mit dem selben Virtuellen Network Namen (VNN) umgeleitet Abhängig vom Zeitpunkt des letzten Checkpoints, kann die Anzahl der Dirty Pages im Buffer Cache, die noch auf Platte geschrieben werden müssen, zu unvorhersehbar langen Failover-Zeiten führen. Um diese Anzahl zu drosseln, besitzt der SQL Server 2012 eine neue Fähigkeit, die Indirect Checkpoints genannt wird. Indirect Checkpoints ähnelt dem Fast-Start MTTR Target Feature der Oracle Datenbank, das bereits mit Oracle9i verfügbar war.   SQL Server Multi-Subnet Clustering Ein SQL Server Multi-Subnet Failover Cluster entspricht vom Konzept her einem Oracle RAC Stretch Cluster. Doch dies ist nur auf den ersten Blick der Fall. Im Gegensatz zu RAC ist in einem lokalen SQL Server Failover Cluster jeweils nur ein Knoten aktiv für eine Datenbank. Für die Datenreplikation zwischen geografisch entfernten Sites verlässt sich Microsoft auf 3rd Party Lösungen für das Storage Mirroring.     Die Verbesserung dieses Szenario mit einer SQL Server 2012 Implementierung besteht schlicht darin, dass eine VLAN-Konfiguration (Virtual Local Area Network) nun nicht mehr benötigt wird, so wie dies bisher der Fall war. Das folgende Diagramm stellt dar, wie der Ablauf mit SQL Server 2012 gehandhabt wird. In Site A und Site B wird HA jeweils durch einen lokalen Aktiv-Passiv-Cluster sichergestellt.     Besondere Aufmerksamkeit muss hier der Konfiguration und dem Tuning geschenkt werden, da ansonsten völlig inakzeptable Failover-Zeiten resultieren. Dies liegt darin begründet, weil die Downtime auf Client-Seite nun nicht mehr nur von der reinen Failover-Zeit abhängt, sondern zusätzlich von der Dauer der DNS Replikation zwischen den DNS Servern. (Rufen Sie sich in Erinnerung, dass wir gerade von Multi-Subnet Clustering sprechen). Außerdem ist zu berücksichtigen, wie schnell die Clients die aktualisierten DNS Informationen abfragen. Spezielle Konfigurationen für Node Heartbeat, HostRecordTTL (Host Record Time-to-Live) und Intersite Replication Frequeny für Active Directory Sites und Services werden notwendig. Default TTL für Windows Server 2008 R2: 20 Minuten Empfohlene Einstellung: 1 Minute DNS Update Replication Frequency in Windows Umgebung: 180 Minuten Empfohlene Einstellung: 15 Minuten (minimaler Wert)   Betrachtet man diese Werte, muss man feststellen, dass selbst eine optimale Konfiguration die rigiden SLAs (Service Level Agreements) heutiger geschäftskritischer Anwendungen für HA und DR nicht erfüllen kann. Denn dies impliziert eine auf der Client-Seite erlebte Failover-Zeit von insgesamt 16 Minuten. Hierzu ein Auszug aus der SQL Server 2012 Online Dokumentation: Cons: If a cross-subnet failover occurs, the client recovery time could be 15 minutes or longer, depending on your HostRecordTTL setting and the setting of your cross-site DNS/AD replication schedule.    Wir sind hier an einem Punkt unserer Überlegungen angelangt, an dem sich erklärt, weshalb ich zuvor das "Windows was the God ..." Zitat verwendet habe. Die unbedingte Abhängigkeit zu Windows wird zunehmend zum Problem, da sie die Komplexität einer Microsoft-basierenden Lösung erhöht, anstelle sie zu reduzieren. Und Komplexität ist das Letzte, was sich CIOs heutzutage wünschen.  Zur Ehrenrettung des SQL Server 2012 und AlwaysOn muss man sagen, dass derart lange Failover-Zeiten kein unbedingtes "Muss" darstellen, sondern ein "Kann". Doch auch ein "Kann" kann im unpassenden Moment unvorhersehbare und kostspielige Folgen haben. Die Unabsehbarkeit ist wiederum Ursache vieler an der Implementierung beteiligten Komponenten und deren Abhängigkeiten, wie beispielsweise drei Cluster-Lösungen (zwei von Microsoft, eine 3rd Party Lösung). Wie man die Sache auch dreht und wendet, kommt man an diesem Fakt also nicht vorbei - ganz unabhängig von der Dauer einer Downtime oder Failover-Zeiten. Im Gegensatz zu AlwaysOn und der hier vorgestellten Version eines Stretch-Clusters, vermeidet eine entsprechende Oracle Implementierung eine derartige Komplexität, hervorgerufen duch multiple Abhängigkeiten. Den Unterschied machen Datenbank-integrierte Mechanismen, wie Fast Application Notification (FAN) und Fast Connection Failover (FCF). Für Oracle MAA Konfigurationen (Maximum Availability Architecture) sind Inter-Site Failover-Zeiten im Bereich von Sekunden keine Seltenheit. Wenn Sie dem Link zur Oracle MAA folgen, finden Sie außerdem eine Reihe an Customer Case Studies. Auch dies ist ein wichtiges Unterscheidungsmerkmal zu AlwaysOn, denn die Oracle Technologie hat sich bereits zigfach in höchst kritischen Umgebungen bewährt.   Availability Groups (Verfügbarkeitsgruppen) Die sogenannten Availability Groups (Verfügbarkeitsgruppen) sind - neben FCI - der weitere Baustein von AlwaysOn.   Hinweis: Bevor wir uns näher damit beschäftigen, sollten Sie sich noch einmal ins Gedächtnis rufen, dass eine SQL Server Datenbank nicht die gleiche Bedeutung besitzt, wie eine Oracle Datenbank, sondern eher einem Oracle Schema entspricht. So etwas wie die SQL Server Northwind Datenbank ist vergleichbar mit dem Oracle Scott Schema.   Eine Verfügbarkeitsgruppe setzt sich zusammen aus einem Set mehrerer Benutzer-Datenbanken, die im Falle eines Failover gemeinsam als Gruppe behandelt werden. Eine Verfügbarkeitsgruppe unterstützt ein Set an primären Datenbanken (primäres Replikat) und einem bis vier Sets von entsprechenden sekundären Datenbanken (sekundäre Replikate).       Es können jedoch nicht alle SQL Server Datenbanken einer AlwaysOn Verfügbarkeitsgruppe zugeordnet werden. Der SQL Server Spezialist Michael Otey zählt in seinem SQL Server Pro Artikel folgende Anforderungen auf: Verfügbarkeitsgruppen müssen mit Benutzer-Datenbanken erstellt werden. System-Datenbanken können nicht verwendet werden Die Datenbanken müssen sich im Read-Write Modus befinden. Read-Only Datenbanken werden nicht unterstützt Die Datenbanken in einer Verfügbarkeitsgruppe müssen Multiuser Datenbanken sein Sie dürfen nicht das AUTO_CLOSE Feature verwenden Sie müssen das Full Recovery Modell nutzen und es muss ein vollständiges Backup vorhanden sein Eine gegebene Datenbank kann sich nur in einer einzigen Verfügbarkeitsgruppe befinden und diese Datenbank düerfen nicht für Database Mirroring konfiguriert sein Microsoft empfiehl außerdem, dass der Verzeichnispfad einer Datenbank auf dem primären und sekundären Server identisch sein sollte Wie man sieht, eignen sich Verfügbarkeitsgruppen nicht, um HA und DR vollständig abzubilden. Die Unterscheidung zwischen der Instanzen-Ebene (FCI) und Datenbank-Ebene (Availability Groups) ist von hoher Bedeutung. Vor kurzem wurde mir gesagt, dass man mit den Verfügbarkeitsgruppen auf Shared Storage verzichten könne und dadurch Kosten spart. So weit so gut ... Man kann natürlich eine Installation rein mit Verfügbarkeitsgruppen und ohne FCI durchführen - aber man sollte sich dann darüber bewusst sein, was man dadurch alles nicht abgesichert hat - und dies wiederum für Desaster Recovery (DR) und SLAs (Service Level Agreements) bedeutet. Kurzum, um die Kombination aus beiden AlwaysOn Produkten und der damit verbundene Komplexität kommt man wohl in der Praxis nicht herum.    Availability Groups und WSFC AlwaysOn hängt von Windows Server Failover Clustering (WSFC) ab, um die aktuellen Rollen der Verfügbarkeitsreplikate einer Verfügbarkeitsgruppe zu überwachen und zu verwalten, und darüber zu entscheiden, wie ein Failover-Ereignis die Verfügbarkeitsreplikate betrifft. Das folgende Diagramm zeigt de Beziehung zwischen Verfügbarkeitsgruppen und WSFC:   Der Verfügbarkeitsmodus ist eine Eigenschaft jedes Verfügbarkeitsreplikats. Synychron und Asynchron können also gemischt werden: Availability Modus (Verfügbarkeitsmodus) Asynchroner Commit-Modus Primäres replikat schließt Transaktionen ohne Warten auf Sekundäres Synchroner Commit-Modus Primäres Replikat wartet auf Commit von sekundärem Replikat Failover Typen Automatic Manual Forced (mit möglichem Datenverlust) Synchroner Commit-Modus Geplanter, manueller Failover ohne Datenverlust Automatischer Failover ohne Datenverlust Asynchroner Commit-Modus Nur Forced, manueller Failover mit möglichem Datenverlust   Der SQL Server kennt keinen separaten Switchover Begriff wie in Oracle Data Guard. Für SQL Server werden alle Role Transitions als Failover bezeichnet. Tatsächlich unterstützt der SQL Server keinen Switchover für asynchrone Verbindungen. Es gibt nur die Form des Forced Failover mit möglichem Datenverlust. Eine ähnliche Fähigkeit wie der Switchover unter Oracle Data Guard ist so nicht gegeben.   SQL Sever FCI mit Availability Groups (Verfügbarkeitsgruppen) Neben den Verfügbarkeitsgruppen kann eine zweite Failover-Ebene eingerichtet werden, indem SQL Server FCI (auf Shared Storage) mit WSFC implementiert wird. Ein Verfügbarkeitesreplikat kann dann auf einer Standalone Instanz gehostet werden, oder einer FCI Instanz. Zum Verständnis: Die Verfügbarkeitsgruppen selbst benötigen kein Shared Storage. Diese Kombination kann verwendet werden für lokale HA auf Ebene der Instanz und DR auf Datenbank-Ebene durch Verfügbarkeitsgruppen. Das folgende Diagramm zeigt dieses Szenario:   Achtung! Hier handelt es sich nicht um ein Pendant zu Oracle RAC plus Data Guard, auch wenn das Bild diesen Eindruck vielleicht vermitteln mag - denn alle sekundären Knoten im FCI sind rein passiv. Es existiert außerdem eine weitere und ernsthafte Einschränkung: SQL Server Failover Cluster Instanzen (FCI) unterstützen nicht das automatische AlwaysOn Failover für Verfügbarkeitsgruppen. Jedes unter FCI gehostete Verfügbarkeitsreplikat kann nur für manuelles Failover konfiguriert werden.   Lesbare Sekundäre Replikate Ein oder mehrere Verfügbarkeitsreplikate in einer Verfügbarkeitsgruppe können für den lesenden Zugriff konfiguriert werden, wenn sie als sekundäres Replikat laufen. Dies ähnelt Oracle Active Data Guard, jedoch gibt es Einschränkungen. Alle Abfragen gegen die sekundäre Datenbank werden automatisch auf das Snapshot Isolation Level abgebildet. Es handelt sich dabei um eine Versionierung der Rows. Microsoft versuchte hiermit die Oracle MVRC (Multi Version Read Consistency) nachzustellen. Tatsächlich muss man die SQL Server Snapshot Isolation eher mit Oracle Flashback vergleichen. Bei der Implementierung des Snapshot Isolation Levels handelt sich um ein nachträglich aufgesetztes Feature und nicht um einen inhärenten Teil des Datenbank-Kernels, wie im Falle Oracle. (Ich werde hierzu in Kürze einen weiteren Blogbeitrag verfassen, wenn ich mich mit der neuen SQL Server 2012 Core Lizenzierung beschäftige.) Für die Praxis entstehen aus der Abbildung auf das Snapshot Isolation Level ernsthafte Restriktionen, derer man sich für den Betrieb in der Praxis bereits vorab bewusst sein sollte: Sollte auf der primären Datenbank eine aktive Transaktion zu dem Zeitpunkt existieren, wenn ein lesbares sekundäres Replikat in die Verfügbarkeitsgruppe aufgenommen wird, werden die Row-Versionen auf der korrespondierenden sekundären Datenbank nicht sofort vollständig verfügbar sein. Eine aktive Transaktion auf dem primären Replikat muss zuerst abgeschlossen (Commit oder Rollback) und dieser Transaktions-Record auf dem sekundären Replikat verarbeitet werden. Bis dahin ist das Isolation Level Mapping auf der sekundären Datenbank unvollständig und Abfragen sind temporär geblockt. Microsoft sagt dazu: "This is needed to guarantee that row versions are available on the secondary replica before executing the query under snapshot isolation as all isolation levels are implicitly mapped to snapshot isolation." (SQL Storage Engine Blog: AlwaysOn: I just enabled Readable Secondary but my query is blocked?)  Grundlegend bedeutet dies, dass ein aktives lesbares Replikat nicht in die Verfügbarkeitsgruppe aufgenommen werden kann, ohne das primäre Replikat vorübergehend stillzulegen. Da Leseoperationen auf das Snapshot Isolation Transaction Level abgebildet werden, kann die Bereinigung von Ghost Records auf dem primären Replikat durch Transaktionen auf einem oder mehreren sekundären Replikaten geblockt werden - z.B. durch eine lang laufende Abfrage auf dem sekundären Replikat. Diese Bereinigung wird auch blockiert, wenn die Verbindung zum sekundären Replikat abbricht oder der Datenaustausch unterbrochen wird. Auch die Log Truncation wird in diesem Zustant verhindert. Wenn dieser Zustand längere Zeit anhält, empfiehlt Microsoft das sekundäre Replikat aus der Verfügbarkeitsgruppe herauszunehmen - was ein ernsthaftes Downtime-Problem darstellt. Die Read-Only Workload auf den sekundären Replikaten kann eingehende DDL Änderungen blockieren. Obwohl die Leseoperationen aufgrund der Row-Versionierung keine Shared Locks halten, führen diese Operatioen zu Sch-S Locks (Schemastabilitätssperren). DDL-Änderungen durch Redo-Operationen können dadurch blockiert werden. Falls DDL aufgrund konkurrierender Lese-Workload blockiert wird und der Schwellenwert für 'Recovery Interval' (eine SQL Server Konfigurationsoption) überschritten wird, generiert der SQL Server das Ereignis sqlserver.lock_redo_blocked, welches Microsoft zum Kill der blockierenden Leser empfiehlt. Auf die Verfügbarkeit der Anwendung wird hierbei keinerlei Rücksicht genommen.   Keine dieser Einschränkungen existiert mit Oracle Active Data Guard.   Backups auf sekundären Replikaten  Über die sekundären Replikate können Backups (BACKUP DATABASE via Transact-SQL) nur als copy-only Backups einer vollständigen Datenbank, Dateien und Dateigruppen erstellt werden. Das Erstellen inkrementeller Backups ist nicht unterstützt, was ein ernsthafter Rückstand ist gegenüber der Backup-Unterstützung physikalischer Standbys unter Oracle Data Guard. Hinweis: Ein möglicher Workaround via Snapshots, bleibt ein Workaround. Eine weitere Einschränkung dieses Features gegenüber Oracle Data Guard besteht darin, dass das Backup eines sekundären Replikats nicht ausgeführt werden kann, wenn es nicht mit dem primären Replikat kommunizieren kann. Darüber hinaus muss das sekundäre Replikat synchronisiert sein oder sich in der Synchronisation befinden, um das Beackup auf dem sekundären Replikat erstellen zu können.   Vergleich von Microsoft AlwaysOn mit der Oracle MAA Ich komme wieder zurück auf die Eingangs erwähnte, mehrfach an mich gestellte Frage "Wann denn - und ob überhaupt - Oracle etwas Vergleichbares wie AlwaysOn bieten würde?" und meine damit verbundene (kurze) Irritation. Wenn Sie diesen Blogbeitrag bis hierher gelesen haben, dann kennen Sie jetzt meine darauf gegebene Antwort. Der eine oder andere Punkt traf dabei nicht immer auf Jeden zu, was auch nicht der tiefere Sinn und Zweck meiner Antwort war. Wenn beispielsweise kein Multi-Subnet mit im Spiel ist, sind alle diesbezüglichen Kritikpunkte zunächst obsolet. Was aber nicht bedeutet, dass sie nicht bereits morgen schon wieder zum Thema werden könnten (Sag niemals "Nie"). In manch anderes Fettnäpfchen tritt man wiederum nicht unbedingt in einer Testumgebung, sondern erst im laufenden Betrieb. Erst recht nicht dann, wenn man sich potenzieller Probleme nicht bewusst ist und keine dedizierten Tests startet. Und wer AlwaysOn erfolgreich positionieren möchte, wird auch gar kein Interesse daran haben, auf mögliche Schwachstellen und den besagten Teufel im Detail aufmerksam zu machen. Das ist keine Unterstellung - es ist nur menschlich. Außerdem ist es verständlich, dass man sich in erster Linie darauf konzentriert "was geht" und "was gut läuft", anstelle auf das "was zu Problemen führen kann" oder "nicht funktioniert". Wer will schon der Miesepeter sein? Für mich selbst gesprochen, kann ich nur sagen, dass ich lieber vorab von allen möglichen Einschränkungen wissen möchte, anstelle sie dann nach einer kurzen Zeit der heilen Welt schmerzhaft am eigenen Leib erfahren zu müssen. Ich bin davon überzeugt, dass es Ihnen nicht anders geht. Nachfolgend deshalb eine Zusammenfassung all jener Punkte, die ich im Vergleich zur Oracle MAA (Maximum Availability Architecture) als unbedingt Erwähnenswert betrachte, falls man eine Evaluierung von Microsoft AlwaysOn in Betracht zieht. 1. AlwaysOn ist eine komplexe Technologie Der SQL Server AlwaysOn Stack ist zusammengesetzt aus drei verschiedenen Technlogien: Windows Server Failover Clustering (WSFC) SQL Server Failover Cluster Instances (FCI) SQL Server Availability Groups (Verfügbarkeitsgruppen) Man kann eine derartige Lösung nicht als nahtlos bezeichnen, wofür auch die vielen von Microsoft dargestellten Einschränkungen sprechen. Während sich frühere SQL Server Versionen in Richtung eigener HA/DR Technologien entwickelten (wie Database Mirroring), empfiehlt Microsoft nun die Migration. Doch weshalb dieser Schwenk? Er führt nicht zu einem konsisten und robusten Angebot an HA/DR Technologie für geschäftskritische Umgebungen.  Liegt die Antwort in meiner These begründet, nach der "Windows was the God ..." noch immer gilt und man die Nachteile der allzu engen Kopplung mit Windows nicht sehen möchte? Entscheiden Sie selbst ... 2. Failover Cluster Instanzen - Kein RAC-Pendant Die SQL Server und Windows Server Clustering Technologie basiert noch immer auf dem veralteten Aktiv-Passiv Modell und führt zu einer Verschwendung von Systemressourcen. In einer Betrachtung von lediglich zwei Knoten erschließt sich auf Anhieb noch nicht der volle Mehrwert eines Aktiv-Aktiv Clusters (wie den Real Application Clusters), wie er von Oracle bereits vor zehn Jahren entwickelt wurde. Doch kennt man die Vorzüge der Skalierbarkeit durch einfaches Hinzufügen weiterer Cluster-Knoten, die dann alle gemeinsam als ein einziges logisches System zusammenarbeiten, versteht man was hinter dem Motto "Pay-as-you-Grow" steckt. In einem Aktiv-Aktiv Cluster geht es zwar auch um Hochverfügbarkeit - und ein Failover erfolgt zudem schneller, als in einem Aktiv-Passiv Modell - aber es geht eben nicht nur darum. An dieser Stelle sei darauf hingewiesen, dass die Oracle 11g Standard Edition bereits die Nutzung von Oracle RAC bis zu vier Sockets kostenfrei beinhaltet. Möchten Sie dazu Windows nutzen, benötigen Sie keine Windows Server Enterprise Edition, da Oracle 11g die eigene Clusterware liefert. Sie kommen in den Genuss von Hochverfügbarkeit und Skalierbarkeit und können dazu die günstigere Windows Server Standard Edition nutzen. 3. SQL Server Multi-Subnet Clustering - Abhängigkeit zu 3rd Party Storage Mirroring  Die SQL Server Multi-Subnet Clustering Architektur unterstützt den Aufbau eines Stretch Clusters, basiert dabei aber auf dem Aktiv-Passiv Modell. Das eigentlich Problematische ist jedoch, dass man sich zur Absicherung der Datenbank auf 3rd Party Storage Mirroring Technologie verlässt, ohne Integration zwischen dem Windows Server Failover Clustering (WSFC) und der darunterliegenden Mirroring Technologie. Wenn nun im Cluster ein Failover auf Instanzen-Ebene erfolgt, existiert keine Koordination mit einem möglichen Failover auf Ebene des Storage-Array. 4. Availability Groups (Verfügbarkeitsgruppen) - Vier, oder doch nur Zwei? Ein primäres Replikat erlaubt bis zu vier sekundäre Replikate innerhalb einer Verfügbarkeitsgruppe, jedoch nur zwei im Synchronen Commit Modus. Während dies zwar einen Vorteil gegenüber dem stringenten 1:1 Modell unter Database Mirroring darstellt, fällt der SQL Server 2012 damit immer noch weiter zurück hinter Oracle Data Guard mit bis zu 30 direkten Stanbdy Zielen - und vielen weiteren durch kaskadierende Ziele möglichen. Damit eignet sich Oracle Active Data Guard auch für die Bereitstellung einer Reader-Farm Skalierbarkeit für Internet-basierende Unternehmen. Mit AwaysOn Verfügbarkeitsgruppen ist dies nicht möglich. 5. Availability Groups (Verfügbarkeitsgruppen) - kein asynchrones Switchover  Die Technologie der Verfügbarkeitsgruppen wird auch als geeignetes Mittel für administrative Aufgaben positioniert - wie Upgrades oder Wartungsarbeiten. Man muss sich jedoch einem gravierendem Defizit bewusst sein: Im asynchronen Verfügbarkeitsmodus besteht die einzige Möglichkeit für Role Transition im Forced Failover mit Datenverlust! Um den Verlust von Daten durch geplante Wartungsarbeiten zu vermeiden, muss man den synchronen Verfügbarkeitsmodus konfigurieren, was jedoch ernstzunehmende Auswirkungen auf WAN Deployments nach sich zieht. Spinnt man diesen Gedanken zu Ende, kommt man zu dem Schluss, dass die Technologie der Verfügbarkeitsgruppen für geplante Wartungsarbeiten in einem derartigen Umfeld nicht effektiv genutzt werden kann. 6. Automatisches Failover - Nicht immer möglich Sowohl die SQL Server FCI, als auch Verfügbarkeitsgruppen unterstützen automatisches Failover. Möchte man diese jedoch kombinieren, wird das Ergebnis kein automatisches Failover sein. Denn ihr Zusammentreffen im Failover-Fall führt zu Race Conditions (Wettlaufsituationen), weshalb diese Konfiguration nicht länger das automatische Failover zu einem Replikat in einer Verfügbarkeitsgruppe erlaubt. Auch hier bestätigt sich wieder die tiefere Problematik von AlwaysOn, mit einer Zusammensetzung aus unterschiedlichen Technologien und der Abhängigkeit zu Windows. 7. Problematische RTO (Recovery Time Objective) Microsoft postioniert die SQL Server Multi-Subnet Clustering Architektur als brauchbare HA/DR Architektur. Bedenkt man jedoch die Problematik im Zusammenhang mit DNS Replikation und den möglichen langen Wartezeiten auf Client-Seite von bis zu 16 Minuten, sind strenge RTO Anforderungen (Recovery Time Objectives) nicht erfüllbar. Im Gegensatz zu Oracle besitzt der SQL Server keine Datenbank-integrierten Technologien, wie Oracle Fast Application Notification (FAN) oder Oracle Fast Connection Failover (FCF). 8. Problematische RPO (Recovery Point Objective) SQL Server ermöglicht Forced Failover (erzwungenes Failover), bietet jedoch keine Möglichkeit zur automatischen Übertragung der letzten Datenbits von einem alten zu einem neuen primären Replikat, wenn der Verfügbarkeitsmodus asynchron war. Oracle Data Guard hingegen bietet diese Unterstützung durch das Flush Redo Feature. Dies sichert "Zero Data Loss" und beste RPO auch in erzwungenen Failover-Situationen. 9. Lesbare Sekundäre Replikate mit Einschränkungen Aufgrund des Snapshot Isolation Transaction Level für lesbare sekundäre Replikate, besitzen diese Einschränkungen mit Auswirkung auf die primäre Datenbank. Die Bereinigung von Ghost Records auf der primären Datenbank, wird beeinflusst von lang laufenden Abfragen auf der lesabaren sekundären Datenbank. Die lesbare sekundäre Datenbank kann nicht in die Verfügbarkeitsgruppe aufgenommen werden, wenn es aktive Transaktionen auf der primären Datenbank gibt. Zusätzlich können DLL Änderungen auf der primären Datenbank durch Abfragen auf der sekundären blockiert werden. Und imkrementelle Backups werden hier nicht unterstützt.   Keine dieser Restriktionen existiert unter Oracle Data Guard.

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