Search Results

Search found 20299 results on 812 pages for 'git log'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 159/812 | < Previous Page | 155 156 157 158 159 160 161 162 163 164 165 166  | Next Page >

  • How do I log the raw HTTP headers with a PHP script?

    - by php
    I'm using a cURL script to send POST data through a proxy to a script and I want to see what raw HTTP headers the cURL script is sending. List of things I've tried: echo curl_getinfo($ch, CURLINFO_HEADER_OUT) gives no output. file_get_contents('php://input') gets some HTTP headers but not all. print_r($_SERVER) also gets some HTTP headers but not all (I know this because there should be a X-Forwarded-For header and there isn't) Printing all superglobals ($_POST, $_GET, $_REQUEST, $_FILES etc) still doesn't show the raw HTTP headers. http_get_request_headers(), apache_request_headers(), $http_response_header, $HTTP_RAW_POST_DATA aren't outputting everything. Help?

    Read the article

  • Rails: How can I log all requests which take more than 4s to execute?

    - by Fedyashev Nikita
    I have a web app hosted in a cloud environment which can be expanded to multiple web-nodes to serve higher load. What I need to do is to catch this situation when we get more and more HTTP requests (assets are stored remotely). How can I do that? The problem I see from this point of view is that if we have more requests than mongrel cluster can handle then the queue will grow. And in our Rails app we can only count only after mongrel will receive the request from balancer.. Any recommendations?

    Read the article

  • What is a good solution to log the deletion of a row in MySQL?

    - by hobodave
    Background I am currently logging deletion of rows from my tickets table at the application level. When a user deletes a ticket the following SQL is executed: INSERT INTO alert_log (user_id, priority, priorityName, timestamp, message) VALUES (9, 4, 'WARN', NOW(), "TICKET: David A. deleted ticket #6 from Foo"); Please do not offer schema suggestions for the alert_log table. Fields: user_id - User id of the logged in user performing the deletion priority - Always 4 priorityName - Always 'WARN' timestamp - Always NOW() message - Format: "[NAMESPACE]: [FullName] deleted ticket #[TicketId] from [CompanyName]" NAMESPACE - Always TICKET FullName - Full name of user identified by user_id above TicketId - Primary key ID of the ticket being deleted CompanyName - Ticket has a Company via tickets.company_id Situation/Questions Obviously this solution does not work if a ticket is deleted manually from the mysql command line client. However, now I need to. The issues I'm having are as follows: Should I use a PROCEDURE, FUNCTION, or TRIGGER? -- Analysis: TRIGGER - I don't think this will work because I can't pass parameters to it, and it would trigger when my application deleted the row too. PROCEDURE or FUNCTION - Not sure. Should I return the number of deleted rows? If so, that would require a FUNCTION right? How should I account for the absence of a logged in user? -- Possibilities: Using either a PROC or FUNC, require the invoker to pass in a valid user_id Require the user to pass in a string with the name Use the CURRENT_USER - meh Hard code the FullName to just be "Database Administrator" Could the name be an optional parameter? I'm rather green when it comes to sprocs. Assuming I went with the PROC/FUNC approach, is it possible to outright restrict regular DELETE calls to this table, yet still allow users to call this PROC/FUNC to do the deletion for them? Ideally the solution is usable by my application as well, so that my code is DRY.

    Read the article

  • C# log base 10 and rounding up to nearest power of 10?

    - by Tom
    Hi, if i have a number between 100 and 1000 i want to get the value 3 because 10^3 = 1000. Likewise, if i had a number between 10 and 100 i would want to get the value 2, because 10^2 is 100. Incase you're wondering, its to do with calculating a probability and i always need to divide through by 10^value, to keep the probability between 0 and 1. For example if i calculate 9256, i need to divide through by 10^4, so that i get a probability of 0.92 I'm not sure how to do the rounding up and how to do the base 10, could someone please help?

    Read the article

  • 502 Bad Gateway - nginx

    - by ADH2
    I am randomly receiving 502 Bad Gateway error pages - I can reproduce this issue by modifying hosting plans in plesk 11 and in the same time refreshing a page for a minute or two. When I get the 502 error page all I have to do is refresh the browser and the page refreshes properly. i am using centos 6 this it from todays log (/var/log/nginx/error.log): 2012/12/04 10:52:07 [error] 21272#0: *545 recv() failed (104: Connection reset by peer) while reading response header from upstream, client: 82.77.68.111, server: likeit-craiova.ro, request: "GET / HTTP/1.1", upstream: "http://195.254.135.113:7080/", host: "likeit-craiova.ro" this is the nginx config (/etc/nginx/nginx.conf) #user nginx; worker_processes 1; #error_log /var/log/nginx/error.log; #error_log /var/log/nginx/error.log notice; #error_log /var/log/nginx/error.log info; #pid /var/run/nginx.pid; events { worker_connections 1024; } http { include mime.types; default_type application/octet-stream; proxy_buffer_size 128k; proxy_buffers 4 256k; proxy_busy_buffers_size 256k; #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 /var/log/nginx/access.log main; sendfile on; #tcp_nopush on; #keepalive_timeout 0; keepalive_timeout 65; #tcp_nodelay on; #gzip on; #gzip_disable "MSIE [1-6]\.(?!.*SV1)"; server_tokens off; include /etc/nginx/conf.d/*.conf; } fastcgi config file (/etc/nginx/fastcgi.conf): fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; fastcgi_param QUERY_STRING $query_string; fastcgi_param REQUEST_METHOD $request_method; fastcgi_param CONTENT_TYPE $content_type; fastcgi_param CONTENT_LENGTH $content_length; fastcgi_param SCRIPT_NAME $fastcgi_script_name; fastcgi_param REQUEST_URI $request_uri; fastcgi_param DOCUMENT_URI $document_uri; fastcgi_param DOCUMENT_ROOT $document_root; fastcgi_param SERVER_PROTOCOL $server_protocol; fastcgi_param HTTPS $https if_not_empty; fastcgi_param GATEWAY_INTERFACE CGI/1.1; fastcgi_param SERVER_SOFTWARE nginx/$nginx_version; fastcgi_param REMOTE_ADDR $remote_addr; fastcgi_param REMOTE_PORT $remote_port; fastcgi_param SERVER_ADDR $server_addr; fastcgi_param SERVER_PORT $server_port; fastcgi_param SERVER_NAME $server_name; # PHP only, required if PHP was built with --enable-force-cgi-redirect fastcgi_param REDIRECT_STATUS 200; fastcgi parameters config (/etc/nginx/fastcgi_params): fastcgi_param QUERY_STRING $query_string; fastcgi_param REQUEST_METHOD $request_method; fastcgi_param CONTENT_TYPE $content_type; fastcgi_param CONTENT_LENGTH $content_length; fastcgi_param SCRIPT_NAME $fastcgi_script_name; fastcgi_param REQUEST_URI $request_uri; fastcgi_param DOCUMENT_URI $document_uri; fastcgi_param DOCUMENT_ROOT $document_root; fastcgi_param SERVER_PROTOCOL $server_protocol; fastcgi_param HTTPS $https if_not_empty; fastcgi_param GATEWAY_INTERFACE CGI/1.1; fastcgi_param SERVER_SOFTWARE nginx/$nginx_version; fastcgi_param REMOTE_ADDR $remote_addr; fastcgi_param REMOTE_PORT $remote_port; fastcgi_param SERVER_ADDR $server_addr; fastcgi_param SERVER_PORT $server_port; fastcgi_param SERVER_NAME $server_name; # PHP only, required if PHP was built with --enable-force-cgi-redirect fastcgi_param REDIRECT_STATUS 200; alsow i'm getting this on a shared hosting server, on one of the domains: Unable to generate the web server configuration file on the host because of the following errors: nginx: [warn] duplicate MIME type "text/html" in /etc/nginx/nginx.conf:45 nginx: [emerg] open() "/var/www/vhosts/partydayandnight.ro/statistics/logs/proxy_access_log" failed (24: Too many open files) nginx: configuration file /etc/nginx/nginx.conf test failed Please resolve the errors in web server configuration templates and generate the file again. why is this appearing and what troubles may it cause? what can i do to get this errors fixed? thank you!

    Read the article

  • ERROR 2003 (HY000): Can't connect to MySQL server on (111)

    - by JohnMerlino
    I am unable to connect to on my ubuntu installation a remote tcp/ip which contains a mysql installation: viggy@ubuntu:~$ mysql -u user.name -p -h xxx.xxx.xxx.xxx -P 3306 Enter password: ERROR 2003 (HY000): Can't connect to MySQL server on 'xxx.xxx.xxx.xxx' (111) I commented out the line below using vim in /etc/mysql/my.cnf: # Instead of skip-networking the default is now to listen only on # localhost which is more compatible and is not less secure. #bind-address = 127.0.0.1 Then I restarted the server: sudo service mysql restart But still I get the same error. This is the content of my.cnf: # # The MySQL database server configuration file. # # You can copy this to one of: # - "/etc/mysql/my.cnf" to set global options, # - "~/.my.cnf" to set user-specific options. # # One can use all long options that the program supports. # Run program with --help to get a list of available options and with # --print-defaults to see which it would actually understand and use. # # For explanations see # http://dev.mysql.com/doc/mysql/en/server-system-variables.html # This will be passed to all mysql clients # It has been reported that passwords should be enclosed with ticks/quotes # escpecially if they contain "#" chars... # Remember to edit /etc/mysql/debian.cnf when changing the socket location. [client] port = 3306 socket = /var/run/mysqld/mysqld.sock # Here is entries for some specific programs # The following values assume you have at least 32M ram # This was formally known as [safe_mysqld]. Both versions are currently parsed. [mysqld_safe] socket = /var/run/mysqld/mysqld.sock nice = 0 [mysqld] # # * Basic Settings # user = mysql pid-file = /var/run/mysqld/mysqld.pid socket = /var/run/mysqld/mysqld.sock port = 3306 basedir = /usr datadir = /var/lib/mysql tmpdir = /tmp lc-messages-dir = /usr/share/mysql skip-external-locking # # Instead of skip-networking the default is now to listen only on # localhost which is more compatible and is not less secure. #bind-address = 127.0.0.1 # # * Fine Tuning # key_buffer = 16M max_allowed_packet = 16M thread_stack = 192K thread_cache_size = 8 # This replaces the startup script and checks MyISAM tables if needed # the first time they are touched myisam-recover = BACKUP #max_connections = 100 #table_cache = 64 #thread_concurrency = 10 # # * Query Cache Configuration # query_cache_limit = 1M query_cache_size = 16M # # * Logging and Replication # # Both location gets rotated by the cronjob. # Be aware that this log type is a performance killer. # As of 5.1 you can enable the log at runtime! #general_log_file = /var/log/mysql/mysql.log #general_log = 1 # # Error logging goes to syslog due to /etc/mysql/conf.d/mysqld_safe_syslog.cnf. # # Here you can see queries with especially long duration #log_slow_queries = /var/log/mysql/mysql-slow.log #long_query_time = 2 #log-queries-not-using-indexes # # The following can be used as easy to replay backup logs or for replication. # note: if you are setting up a replication slave, see README.Debian about # other settings you may need to change. #server-id = 1 #log_bin = /var/log/mysql/mysql-bin.log expire_logs_days = 10 max_binlog_size = 100M #binlog_do_db = include_database_name #binlog_ignore_db = include_database_name # # * InnoDB # # InnoDB is enabled by default with a 10MB datafile in /var/lib/mysql/. # Read the manual for more InnoDB related options. There are many! # # * Security Features # # Read the manual, too, if you want chroot! # chroot = /var/lib/mysql/ # # For generating SSL certificates I recommend the OpenSSL GUI "tinyca". # # ssl-ca=/etc/mysql/cacert.pem # ssl-cert=/etc/mysql/server-cert.pem # ssl-key=/etc/mysql/server-key.pem [mysqldump] quick quote-names max_allowed_packet = 16M [mysql] #no-auto-rehash # faster start of mysql but no tab completition [isamchk] key_buffer = 16M # # * IMPORTANT: Additional settings that can override those from this file! # The files must end with '.cnf', otherwise they'll be ignored. # !includedir /etc/mysql/conf.d/ (Note that I can log into my local mysql install just fine by running mysql (and it will log me in as root) and also note that I can get into mysql in the remote server by logging into via ssh and then invoking mysql), but I am unable to connect to the remote server via my terminal using the host, and I need to do it that way so that I can then use mysql workbench.

    Read the article

  • July, the 31 Days of SQL Server DMO’s – Day 26 (sys.dm_db_log_space_usage)

    - by Tamarick Hill
    The sys.dm_db_log_space_usage DMV is a new DMV for SQL Server 2012. It returns Total Size, Used Size, and Used Percent size for a transaction log file of a given database. To illustrate this DMV, I will query the DMV against my AdventureWorks2012 database. SELECT * FROM sys.dm_db_log_space_usage As mentioned above, the result set gives us the total size of the transaction log in bytes, the used size of the log in bytes, and the percent of the log that has been used. This is a very simplistic DMV but returns valuable information. Being able to detect when a transaction log is close to being full is always a valuable thing to alert on, and this DMV just provided an additional method for acquiring the necessary information. Follow me on Twitter @PrimeTimeDBA

    Read the article

  • How do I programatically determine which port a SQL Server is running on?

    - by Ralph Willgoss
    How do I programatically determine which port a SQL Server is running on?/*Wrapper script for xp_readerrorlogAuthor: Ralph WillgossDate: 2nd Oct 2012This script cycles through all logs files, looking for the listening port.Normally you have to specify the log file one by one, the script removes the need for that.Param ref for: xp_readerrorlog1. Value of error log file you want to read: 0 = current, 1 = Archive #1, 2 = Archive #2, etc...2. Log file type: 1 or NULL = error log, 2 = SQL Agent log3. Search string 1: String one you want to search for4. Search string 2: String two you want to search for to further refine the results5. Search from start time6. Search to end time7. Sort order for results: N'asc' = ascending, N'desc' = descending*/USE MasterGO--  Get log countDECLARE @logcount intDROP TABLE #ResultCREATE TABLE #Result (ArchiveNo int, Date datetime, Size int)INSERT INTO #ResultEXEC xp_enumerrorlogsSET @logcount = (SELECT COUNT(*) FROM #Result)-- Search the available logsDECLARE @counter intSET @counter = 0WHILE @counter <= @logcountBEGIN   EXEC xp_readerrorlog @counter, 1, N'Server is listening on', 'any', NULL, NULL, N'asc'   SET @counter = @counter + 1ENDGO

    Read the article

  • Using Transaction Logging to Recover Post-Archived Essbase data

    - by Keith Rosenthal
    Data recovery is typically performed by restoring data from an archive.  Data added or removed since the last archive took place can also be recovered by enabling transaction logging in Essbase.  Transaction logging works by writing transactions to a log store.  The information in the log store can then be recovered by replaying the log store entries in sequence since the last archive took place.  The following information is recorded within a transaction log entry: Sequence ID Username Start Time End Time Request Type A request type can be one of the following categories: Calculations, including the default calculation as well as both server and client side calculations Data loads, including data imports as well as data loaded using a load rule Data clears as well as outline resets Locking and sending data from SmartView and the Spreadsheet Add-In.  Changes from Planning web forms are also tracked since a lock and send operation occurs during this process. You can use the Display Transactions command in the EAS console or the query database MAXL command to view the transaction log entries. Enabling Transaction Logging Transaction logging can be enabled at the Essbase server, application or database level by adding the TRANSACTIONLOGLOCATION essbase.cfg setting.  The following is the TRANSACTIONLOGLOCATION syntax: TRANSACTIONLOGLOCATION [appname [dbname]] LOGLOCATION NATIVE ENABLE | DISABLE Note that you can have multiple TRANSACTIONLOGLOCATION entries in the essbase.cfg file.  For example: TRANSACTIONLOGLOCATION Hyperion/trlog NATIVE ENABLE TRANSACTIONLOGLOCATION Sample Hyperion/trlog NATIVE DISABLE The first statement will enable transaction logging for all Essbase applications, and the second statement will disable transaction logging for the Sample application.  As a result, transaction logging will be enabled for all applications except the Sample application. A location on a physical disk other than the disk where ARBORPATH or the disk files reside is recommended to optimize overall Essbase performance. Configuring Transaction Log Replay Although transaction log entries are stored based on the LOGLOCATION parameter of the TRANSACTIONLOGLOCATION essbase.cfg setting, copies of data load and rules files are stored in the ARBORPATH/app/appname/dbname/Replay directory to optimize the performance of replaying logged transactions.  The default is to archive client data loads, but this configuration setting can be used to archive server data loads (including SQL server data loads) or both client and server data loads. To change the type of data to be archived, add the TRANSACTIONLOGDATALOADARCHIVE configuration setting to the essbase.cfg file.  Note that you can have multiple TRANSACTIONLOGDATALOADARCHIVE entries in the essbase.cfg file to adjust settings for individual applications and databases. Replaying the Transaction Log and Transaction Log Security Considerations To replay the transactions, use either the Replay Transactions command in the EAS console or the alter database MAXL command using the replay transactions grammar.  Transactions can be replayed either after a specified log time or using a range of transaction sequence IDs. The default when replaying transactions is to use the security settings of the user who originally performed the transaction.  However, if that user no longer exists or that user's username was changed, the replay operation will fail. Instead of using the default security setting, add the REPLAYSECURITYOPTION essbase.cfg setting to use the security settings of the administrator who performs the replay operation.  REPLAYSECURITYOPTION 2 will explicitly use the security settings of the administrator performing the replay operation.  REPLAYSECURITYOPTION 3 will use the administrator security settings if the original user’s security settings cannot be used. Removing Transaction Logs and Archived Replay Data Load and Rules Files Transaction logs and archived replay data load and rules files are not automatically removed and are only removed manually.  Since these files can consume a considerable amount of space, the files should be removed on a periodic basis. The transaction logs should be removed one database at a time instead of all databases simultaneously.  The data load and rules files associated with the replayed transactions should be removed in chronological order from earliest to latest.  In addition, do not remove any data load and rules files with a timestamp later than the timestamp of the most recent archive file. Partitioned Database Considerations For partitioned databases, partition commands such as synchronization commands cannot be replayed.  When recovering data, the partition changes must be replayed manually and logged transactions must be replayed in the correct chronological order. If the partitioned database includes any @XREF commands in the calc script, the logged transactions must be selectively replayed in the correct chronological order between the source and target databases. References For additional information, please see the Oracle EPM System Backup and Recovery Guide.  For EPM 11.1.2.2, the link is http://docs.oracle.com/cd/E17236_01/epm.1112/epm_backup_recovery_1112200.pdf

    Read the article

  • What is the runtime of this program

    - by grebwerd
    I was wondering what the run time of this small program would be? #include <stdio.h> int main(int argc, char* argv[]) { int i; int j; int inputSize; int sum = 0; if(argc == 1) inputSize = 16; else inputSize = atoi(argv[i]); for(i = 1; i <= inputSize; i++){ for(j = i; j < inputSize; j *=2 ){ printf("The value of sum is %d\n",++sum); } } } n S floor(log n - log (n-i)) = ? i =1 and that each summation would be the floor value between log(n) - log(n-i). Would the run time be n log n?

    Read the article

  • What is the Big-O time complexity of this algorithm

    - by grebwerd
    I was wondering what the run time of this small program would be? #include <stdio.h> int main(int argc, char* argv[]) { int i; int j; int inputSize; int sum = 0; if(argc == 1) inputSize = 16; else inputSize = atoi(argv[i]); for(i = 1; i <= inputSize; i++){ for(j = i; j < inputSize; j *=2 ){ printf("The value of sum is %d\n",++sum); } } } n S floor(log n - log (n-i)) = ? i =1 and that each summation would be the floor value between log(n) - log(n-i). Would the run time be n log n?

    Read the article

  • run .profile function as cron job

    - by Don
    In the .profile file of the root user I have defined a function, e.g. function printDate() { date } I want to run this function every minute and append the output to cron.log. I tried adding the following crontab entry: * * * * * printDate > $HOME/cron.log 2>&1 But it doesn't work. The cron.log file gets created, but it's empty. I guess this is because the .profile isn't read by cron, so any functions/aliases defined therein are unavailable to it. So I tried changing the crontab entry to: * * * * * source $HOME/.profile;printDate >> $HOME/cron.log 2>&1 But this doesn't work either. It seems cron still doesn't have access to the printDate function because I see the following in cron.log /bin/sh: printDate: not found

    Read the article

  • Error when trying to activate FGLRX graphic propietary control ATI/AMD

    - by Gastón
    I'm new to Ubuntu. I still don't understand a lot of features. As far as I know, I can install the ATI drivers through the Additional drivers When I press 'Activate' in the FGLRX graphic propietary control ATI/AMD it comes up with an error. Lo sentimos, la instalación de este controlador falló. Revise el archivo de registro para ver más detalles: /var/log/jockey.log English translation: Sorry, this driver installation failed. Check the log file for more details: /var/log/jockey.log The problem is that i'm trying to make Compiz work. And since i have no video card drivers i cant modify any of the interface features (Like 3d cube and that stuff).

    Read the article

  • nagios3 Error: Could not read object configuration data!

    - by user1493730
    I have a brand new install of nagios3 on ubuntu 12.04. After I log in to the web interface and click any link I get the error: Error: Could not read object configuration data! Here are some things you should check in order to resolve this error: Verify configuration options using the -v command-line option to check for errors. Check the Nagios log file for messages relating to startup or status data errors. I ran it with the -v option and it reported no errors: Total Warnings: 0 Total Errors: 0 Things look okay - No serious problems were detected during the pre-flight check The nagios log and apache error log and debug log all have nothing regarding this. Does anyone know how to turn on logging that will give me some kind of useful error? Or if anyone knows how to fix this specific problem without additional logging, I guess that's okay too. Thanks!

    Read the article

  • 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)

    Read the article

  • From the Coalface - 2 - Work as hard as you can to be as lazy as you can

    - by TATWORTH
    On one project, the standard build involved building the database from scratch producing a build log that was about 100,000 lines long.  Manually paging throught this log took hours and it was very easy to miss any errors. The solution was to write a filter that read the log file and output a summary file with each output line pepended with the line number in the original file. Sucessive iterations eliminated more noise lines. Diagnostic displays required escaping. The final output was just a few hundred lines long and the errors were easy to spot. The filter program took less time to to write than one manual pass reading the log file.  The utility digested the log file in about 1 second. Now database build errors could be identified quickly instead of after hours of manual examination or lengthy system testing. A few minutes consideration of the task led to a tremendous improvement in quality.

    Read the article

  • BIND no longer responds to AXFR Requests

    - by djsumdog
    Recently we moved our primary external DNS server. It has three caching DNS slaves in front of it provided by our ISP. They've told us they've started getting access denied requests when doing zone transfers (AXFR). If I add in my own IPs to the allow-transfer list, I also get a transfer failed when using dig with the AXFR argument. Here is what my bind configuration looks like: options { directory "/var/lib/named"; dump-file "/var/log/named_dump.db"; zone-statistics yes; statistics-file "/var/log/named.stats"; listen-on-v6 { any; }; notify-source 10.19.0.68 port 53; querylog yes; notify yes; allow-transfer { 127.0.0.1; //localhost 1.1.1.1; //public dns slave 1 2.2.2.2; //public dns slave 2 3.3.3.3; //public dns slave 3 }; also-notify { 1.1.1.1; //public dns slave 1 2.2.2.2; //public dns slave 2 3.3.3.3; //public dns slave 3 }; include "/etc/named.d/forwarders.conf"; }; logging { channel simple_log { file "/var/log/bind.log" versions 10 size 3m; severity info; print-time yes; print-severity yes; print-category yes; }; category default{ simple_log; }; channel log_zone_transfers { file "/var/log/axfr.log" versions 10 size 3m; print-time yes; print-category yes; print-severity yes; }; category xfer-out { log_zone_transfers; }; channel log_notify { file "/var/log/notify.log" versions 10 size 3m; print-time yes; print-category yes; print-severity yes; }; category notify { log_notify; }; channel queries { file "/var/log/queries.log" versions 10 size 30m; print-time yes; severity info; print-category yes; print-severity yes; }; category queries { queries; }; }; zone "." in { type hint; file "root.hint"; }; zone "localhost" in { type master; file "localhost.zone"; }; zone "0.0.127.in-addr.arpa" in { type master; file "127.0.0.zone"; }; include "/etc/named.conf.include"; zone "example.net " { type master; file "/var/lib/named/master/example.net.hosts"; }; zone "example.com " { type master; file "/var/lib/named/master/example.com.hosts"; }; ## -- other master files -- And the errors in the xfer log look like the following: 29-Oct-2012 14:20:02.806 xfer-out: info: client 1.1.1.1#59069: bad zone transfer request: 'example.com./IN': non-authoritative zone (NOTAUTH) I've tried adding allow-transfer parameters directly on the zone files and still get failed transfers. Any idea what I'm doing wrong?

    Read the article

  • GI ????

    - by Allen Gao
    Normal 0 7.8 ? 0 2 false false false MicrosoftInternetExplorer4 classid="clsid:38481807-CA0E-42D2-BF39-B33AF135CC4D" id=ieooui st1\:*{behavior:url(#ieooui) } /* Style Definitions */ table.MsoNormalTable {mso-style-name:????; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} ??????????11gR2 GI ?????????,??????GI????????????????????? ????????GI???????3???,ohasd??,??????,??????? ??,ohasd??? 1. /etc/inittab?????? h1:35:respawn:/etc/init.d/init.ohasd run >/dev/null 2>&1 </dev/null ???,??????? root 4865 1 0 Dec02 ? 00:01:01 /bin/sh /etc/init.d/init.ohasd run ??????????????,???? +init.ohasd ????????? + os????????? + ??S* ohasd????, ??S96ohasd + GI????????(crsctl enable crs) ??,ohasd.bin ??????,????OLR????,??,??ohasd.bin??????,?????OLR??????????????OLR???$GRID_HOME/cdata/${HOSTNAME}.olr 2. ohasd.bin????????agents(orarootagent, oraagent, cssdagnet ? cssdmonitor) ???????????????,?????agent??????,??????????$GRID_HOME/bin ???????????,??,?????????,??corruption. ???,??????? 1. Mdnsd ??????(Multicast)???????????????????,??????????????????????????? 2. Gpnpd ????,??????????bootstrap ??,??????????????gpnp profile???,?????mdnsd??????,???????????,?????????????,??gpnp profile (<gi_home>/gpnp/profiles/peer/profile.xml)?????????? 3. Gipcd ????,????????????????(cluster interconnect)?????,???????gpnpd???,??,??????????,?????gpnpd ??????? 4. Ocssd.bin ?????????????gpnp profile?????????(Voting Disk),????gpnpd ??????????,?????????????,??ocssd.bin ??????,?????????? + gpnp profile ?????????? + gpnpd ??????? + ??????asm disk ??????????? + ??????????? 5. ??????????:ora.ctssd, ora.asm, ora.cluster_interconnect.haip, ora.crf, ora.crsd ?? ??:????????????????ocssd.bin, gpnpd.bin ? gipcd.bin ????,??gpnpd.bin????,ocssd.bin ? gipcd.bin ?????????,?gpnpd.bin????????,ocssd.bin ? gipcd.bin ????????gpnp profile?????????? ??,????????????,?????crsd????????? 1. Crsd?????????????OCR,????OCR????ASM?,???? ASM??????,??OCR???ASM??????????OCR???????,???????????????? 2. Crsd ?????agents(orarootagent, oraagent_<rdbms_owner>, oraagent_<gi_owner> )???agent????,??????????$GRID_HOME/bin ???????????,??,?????????,??corruption. 3. ????????  ora.net1.network : ????,?????????????,scanvip, vip, listener?????????????,??????????,vip, scanvip ?listener ??offline,?????????????? ora.<scan_name>.vip:scan???vip??,?????3?? ora.<node_name>.vip : ?????vip ?? ora.<listener_name>.lsnr: ???????????????,?11gR2??,listener.ora???????,????????? ora.LISTENER_SCAN<n>.lsnr: scan ????? ora.<????>.dg: ASM ????????????????mount???,dismount???? ora.<????>.db: ???????11gR2????????????,??????????rac ????????,??????????,???????“USR_ORA_INST_NAME@SERVERNAME(<node name> )”???????,??????????ASM???,???????????????????,??dependency?????????,??????????????????,???dependancy???????,??????(crsctl modify res ……)? ora.<???>.svc:?????????11gR2 ??,?????????,???10gR2??,???????????,srv ?cs ????? ora.cvu :?????11.2.0.2???,???????cluvfy??,???????????????? ora.ons : ONS??,????????,????? ??,?????GI??????????????????? $GRID_HOME/log/<node_name>/ocssd <== ocssd.bin ?? $GRID_HOME/log/<node_name>/gpnpd <== gpnpd.bin ?? $GRID_HOME/log/<node_name>/gipcd <== gipcd.bin ?? $GRID_HOME/log/<node_name>/agent/crsd <== crsd.bin ?? $GRID_HOME/log/<node_name>/agent/ohasd <== ohasd.bin ?? $GRID_HOME/log/<node_name>/mdnsd <== mdnsd.bin ?? $GRID_HOME/log/<node_name>/client <== ????GI ??(ocrdump, crsctl, ocrcheck, gpnptool??)??????????? $GRID_HOME/log/<node_name>/ctssd <== ctssd.bin ?? $GRID_HOME/log/<node_name>/crsd <== crsd.bin ?? $GRID_HOME/log/<node_name>/cvu <== cluvfy ????????? $GRID_HOME/bin/diagcollection.sh <== ????????????????? ??,????????(/var/tmp/.oracle ? /tmp/.oracle),??????????????????ipc???,??,?????????????????????,???GI?????????????????????,??????????GI??????????????

    Read the article

  • 11gR2 ??????????

    - by Allen Gao
    ???????11gR2 GI????????????????????,?10g????,???????GI?????????????1.Ocssd.bin:????????10g??????????,???????(Node Monitoring)????(Group Management)?????????????“??????????”????????2.Cssdagent.bin/Cssdmonitor.bin:?2????11gR2??????????????ocssd.bin??????(Local HeartBeat),??????1??????????????????ocssd.bin???????????,????????ocssd.bin????????,??????,???????????10g??oclsomon/oclsvmon(?????????????)?oprocd????,????11gR2???????—rebootless restart,?????????11.2.0.2????????????,????????????(????????)??????ocssd.bin?????,??????????????,??????????GI stack?????,??GI stack??????????(short disk I/O timeout)??graceful shutdown,????????,??,????????????????????????11gR2 ??????????????1.Ocssd.log2.Cssdagent ? cssdmonitor logs<GI_home>/log/<node_name>/agent/ohasd/oracssdagent_root/oracssdagent_root.log<GI_home>/log/<node_name>/agent/ohasd/oracssdmonitor_root_root/oracssdmonitor_root.log3.Cluster alert log<GI_home>/log/<node_name>/alert<node_name>.log4.OS log5.OSW ?? CHM ????,??????????????????1.???????????????????????????????,??????10g???????????????????????????GI alert log ??,?????node2?2012-08-15 16:30:06.554 [cssd(11011) ]CRS-1612:Network communication with node node1 (1) missing for 50% of timeout interval.  Removal of this node from cluster in 14.510 seconds2012-08-15 16:30:13.586 [cssd(11011) ]CRS-1611:Network communication with node node1 (1) missing for 75% of timeout interval.  Removal of this node from cluster in 7.470 seconds2012-08-15 16:30:18.606 [cssd(11011) ]CRS-1610:Network communication with node node1 (1) missing for 90% of timeout interval.  Removal of this node from cluster in 2.450 seconds2012-08-15 16:30:21.073 [cssd(11011) ]CRS-1632:Node node1 is being removed from the cluster in cluster incarnation 2363798322012-08-15 16:30:21.086 [cssd(11011) ]CRS-1601:CSSD Reconfiguration complete. Active nodes are node2 .?????????????node1?????????????????,???????, node2?? node1 ?????????node1 ???,???node1 ???????????????(????os log ??OSW ????),??node1 ???????node2??node1?????????,????node1??????????,???reconfiguration,????????????,????????????,?11.2.0.2??,??rebootless restart???,node eviction ????????GI stack??,????????????,???node2?node1?????????,node1?ocssd.bin??????(????ocssd.log??)??node1???????????????,??node1??????GI node eviction????2.???????????????,?????10g???????,???????????3.??ocssd.bin ????Cssdagent/Cssdmonitor.bin????????????,??????,????,????oracssdagent_root.log ?oracssdmonitor_root.log ????????2012-07-23 14:09:58.506: [ USRTHRD][1095805248] (:CLSN00111: )clsnproc_needreboot: Impending reboot at 75% of limit 28030; disk timeout 28030, network timeout 26380, last heartbeat from CSSD at epoch seconds 1343023777.410, 21091 milliseconds ago based on invariant clock 269251595; now polling at 100 ms……2012-07-23 14:10:02.704: [ USRTHRD][1095805248] (:CLSN00111: )clsnproc_needreboot: Impending reboot at 90% of limit 28030; disk timeout 28030, network timeout 26380, last heartbeat from CSSD at epoch seconds 1343023777.410, 25291 milliseconds ago based on invariant clock 269251595; now polling at 100 ms……???????????????timeout???28 ???(misscount – reboot time)?4.?????????????????? ??????????????????????,????ocssd.bin??????,?????????????,?????????????ocssd.bin??,????????os???????????OSW??,???? ??????? cpu ???Linux OSWbb v5.0 node1SNAP_INTERVAL 30CPU_COUNT 8OSWBB_ARCHIVE_DEST /osw/archiveprocs -----------memory---------- ---swap-- -----io---- -system-- -----cpu------r  b   swpd   free   buff  cache   si   so    bi    bo   in    cs us sy id wa……zzz ***Mon Aug 30 17:55:21 CST 2012158  6 4200956 923940   7664 19088464    0    0  1296  3574 11153 231579  0 100  0  0  0zzz ***Mon Aug 30 17:55:53 CST 2012135  4 4200956 923760   7812 19089344    0    0     4    45  570 14563  0 100  0  0  0zzz ***Mon Aug 30 17:56:53 CST 2012126  2 4200956 923784   8396 19083620    0    0   196  1121  651 15941  2 98  0  0  0?????????????,????10g??????11gR2????????????????,??????,????????Note 1050693.1 : Troubleshooting 11.2 Clusterware Node Evictions (Reboots)

    Read the article

  • A plugin is preventing Eclipse from starting up

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

    Read the article

  • Windows Azure: Import/Export Hard Drives, VM ACLs, Web Sockets, Remote Debugging, Continuous Delivery, New Relic, Billing Alerts and More

    - by ScottGu
    Two weeks ago we released a giant set of improvements to Windows Azure, as well as a significant update of the Windows Azure SDK. This morning we released another massive set of enhancements to Windows Azure.  Today’s new capabilities include: Storage: Import/Export Hard Disk Drives to your Storage Accounts HDInsight: General Availability of our Hadoop Service in the cloud Virtual Machines: New VM Gallery, ACL support for VIPs Web Sites: WebSocket and Remote Debugging Support Notification Hubs: Segmented customer push notification support with tag expressions TFS & GIT: Continuous Delivery Support for Web Sites + Cloud Services Developer Analytics: New Relic support for Web Sites + Mobile Services Service Bus: Support for partitioned queues and topics Billing: New Billing Alert Service that sends emails notifications when your bill hits a threshold you define All of these improvements are now available to use immediately (note that some features are still in preview).  Below are more details about them. Storage: Import/Export Hard Disk Drives to Windows Azure I am excited to announce the preview of our new Windows Azure Import/Export Service! The Windows Azure Import/Export Service enables you to move large amounts of on-premises data into and out of your Windows Azure Storage accounts. It does this by enabling you to securely ship hard disk drives directly to our Windows Azure data centers. Once we receive the drives we’ll automatically transfer the data to or from your Windows Azure Storage account.  This enables you to import or export massive amounts of data more quickly and cost effectively (and not be constrained by available network bandwidth). Encrypted Transport Our Import/Export service provides built-in support for BitLocker disk encryption – which enables you to securely encrypt data on the hard drives before you send it, and not have to worry about it being compromised even if the disk is lost/stolen in transit (since the content on the transported hard drives is completely encrypted and you are the only one who has the key to it).  The drive preparation tool we are shipping today makes setting up bitlocker encryption on these hard drives easy. How to Import/Export your first Hard Drive of Data You can read our Getting Started Guide to learn more about how to begin using the import/export service.  You can create import and export jobs via the Windows Azure Management Portal as well as programmatically using our Server Management APIs. It is really easy to create a new import or export job using the Windows Azure Management Portal.  Simply navigate to a Windows Azure storage account, and then click the new Import/Export tab now available within it (note: if you don’t have this tab make sure to sign-up for the Import/Export preview): Then click the “Create Import Job” or “Create Export Job” commands at the bottom of it.  This will launch a wizard that easily walks you through the steps required: For more comprehensive information about Import/Export, refer to Windows Azure Storage team blog.  You can also send questions and comments to the [email protected] email address. We think you’ll find this new service makes it much easier to move data into and out of Windows Azure, and it will dramatically cut down the network bandwidth required when working on large data migration projects.  We hope you like it. HDInsight: 100% Compatible Hadoop Service in the Cloud Last week we announced the general availability release of Windows Azure HDInsight. HDInsight is a 100% compatible Hadoop service that allows you to easily provision and manage Hadoop clusters for big data processing in Windows Azure.  This release is now live in production, backed by an enterprise SLA, supported 24x7 by Microsoft Support, and is ready to use for production scenarios. HDInsight allows you to use Apache Hadoop tools, such as Pig and Hive, to process large amounts of data in Windows Azure Blob Storage. Because data is stored in Windows Azure Blob Storage, you can choose to dynamically create Hadoop clusters only when you need them, and then shut them down when they are no longer required (since you pay only for the time the Hadoop cluster instances are running this provides a super cost effective way to use them).  You can create Hadoop clusters using either the Windows Azure Management Portal (see below) or using our PowerShell and Cross Platform Command line tools: The import/export hard drive support that came out today is a perfect companion service to use with HDInsight – the combination allows you to easily ingest, process and optionally export a limitless amount of data.  We’ve also integrated HDInsight with our Business Intelligence tools, so users can leverage familiar tools like Excel in order to analyze the output of jobs.  You can find out more about how to get started with HDInsight here. Virtual Machines: VM Gallery Enhancements Today’s update of Windows Azure brings with it a new Virtual Machine gallery that you can use to create new VMs in the cloud.  You can launch the gallery by doing New->Compute->Virtual Machine->From Gallery within the Windows Azure Management Portal: The new Virtual Machine Gallery includes some nice enhancements that make it even easier to use: Search: You can now easily search and filter images using the search box in the top-right of the dialog.  For example, simply type “SQL” and we’ll filter to show those images in the gallery that contain that substring. Category Tree-view: Each month we add more built-in VM images to the gallery.  You can continue to browse these using the “All” view within the VM Gallery – or now quickly filter them using the category tree-view on the left-hand side of the dialog.  For example, by selecting “Oracle” in the tree-view you can now quickly filter to see the official Oracle supplied images. MSDN and Supported checkboxes: With today’s update we are also introducing filters that makes it easy to filter out types of images that you may not be interested in. The first checkbox is MSDN: using this filter you can exclude any image that is not part of the Windows Azure benefits for MSDN subscribers (which have highly discounted pricing - you can learn more about the MSDN pricing here). The second checkbox is Supported: this filter will exclude any image that contains prerelease software, so you can feel confident that the software you choose to deploy is fully supported by Windows Azure and our partners. Sort options: We sort gallery images by what we think customers are most interested in, but sometimes you might want to sort using different views. So we’re providing some additional sort options, like “Newest,” to customize the image list for what suits you best. Pricing information: We now provide additional pricing information about images and options on how to cost effectively run them directly within the VM Gallery. The above improvements make it even easier to use the VM Gallery and quickly create launch and run Virtual Machines in the cloud. Virtual Machines: ACL Support for VIPs A few months ago we exposed the ability to configure Access Control Lists (ACLs) for Virtual Machines using Windows PowerShell cmdlets and our Service Management API. With today’s release, you can now configure VM ACLs using the Windows Azure Management Portal as well. You can now do this by clicking the new Manage ACL command in the Endpoints tab of a virtual machine instance: This will enable you to configure an ordered list of permit and deny rules to scope the traffic that can access your VM’s network endpoints. For example, if you were on a virtual network, you could limit RDP access to a Windows Azure virtual machine to only a few computers attached to your enterprise. Or if you weren’t on a virtual network you could alternatively limit traffic from public IPs that can access your workloads: Here is the default behaviors for ACLs in Windows Azure: By default (i.e. no rules specified), all traffic is permitted. When using only Permit rules, all other traffic is denied. When using only Deny rules, all other traffic is permitted. When there is a combination of Permit and Deny rules, all other traffic is denied. Lastly, remember that configuring endpoints does not automatically configure them within the VM if it also has firewall rules enabled at the OS level.  So if you create an endpoint using the Windows Azure Management Portal, Windows PowerShell, or REST API, be sure to also configure your guest VM firewall appropriately as well. Web Sites: Web Sockets Support With today’s release you can now use Web Sockets with Windows Azure Web Sites.  This feature enables you to easily integrate real-time communication scenarios within your web based applications, and is available at no extra charge (it even works with the free tier).  Higher level programming libraries like SignalR and socket.io are also now supported with it. You can enable Web Sockets support on a web site by navigating to the Configure tab of a Web Site, and by toggling Web Sockets support to “on”: Once Web Sockets is enabled you can start to integrate some really cool scenarios into your web applications.  Check out the new SignalR documentation hub on www.asp.net to learn more about some of the awesome scenarios you can do with it. Web Sites: Remote Debugging Support The Windows Azure SDK 2.2 we released two weeks ago introduced remote debugging support for Windows Azure Cloud Services. With today’s Windows Azure release we are extending this remote debugging support to also work with Windows Azure Web Sites. With live, remote debugging support inside of Visual Studio, you are able to have more visibility than ever before into how your code is operating live in Windows Azure. It is now super easy to attach the debugger and quickly see what is going on with your application in the cloud. Remote Debugging of a Windows Azure Web Site using VS 2013 Enabling the remote debugging of a Windows Azure Web Site using VS 2013 is really easy.  Start by opening up your web application’s project within Visual Studio. Then navigate to the “Server Explorer” tab within Visual Studio, and click on the deployed web-site you want to debug that is running within Windows Azure using the Windows Azure->Web Sites node in the Server Explorer.  Then right-click and choose the “Attach Debugger” option on it: When you do this Visual Studio will remotely attach the debugger to the Web Site running within Windows Azure.  The debugger will then stop the web site’s execution when it hits any break points that you have set within your web application’s project inside Visual Studio.  For example, below I set a breakpoint on the “ViewBag.Message” assignment statement within the HomeController of the standard ASP.NET MVC project template.  When I hit refresh on the “About” page of the web site within the browser, the breakpoint was triggered and I am now able to debug the app remotely using Visual Studio: Note above how we can debug variables (including autos/watchlist/etc), as well as use the Immediate and Command Windows. In the debug session above I used the Immediate Window to explore some of the request object state, as well as to dynamically change the ViewBag.Message property.  When we click the the “Continue” button (or press F5) the app will continue execution and the Web Site will render the content back to the browser.  This makes it super easy to debug web apps remotely. Tips for Better Debugging To get the best experience while debugging, we recommend publishing your site using the Debug configuration within Visual Studio’s Web Publish dialog. This will ensure that debug symbol information is uploaded to the Web Site which will enable a richer debug experience within Visual Studio.  You can find this option on the Web Publish dialog on the Settings tab: When you ultimately deploy/run the application in production we recommend using the “Release” configuration setting – the release configuration is memory optimized and will provide the best production performance.  To learn more about diagnosing and debugging Windows Azure Web Sites read our new Troubleshooting Windows Azure Web Sites in Visual Studio guide. Notification Hubs: Segmented Push Notification support with tag expressions In August we announced the General Availability of Windows Azure Notification Hubs - a powerful Mobile Push Notifications service that makes it easy to send high volume push notifications with low latency from any mobile app back-end.  Notification hubs can be used with any mobile app back-end (including ones built using our Mobile Services capability) and can also be used with back-ends that run in the cloud as well as on-premises. Beginning with the initial release, Notification Hubs allowed developers to send personalized push notifications to both individual users as well as groups of users by interest, by associating their devices with tags representing the logical target of the notification. For example, by registering all devices of customers interested in a favorite MLB team with a corresponding tag, it is possible to broadcast one message to millions of Boston Red Sox fans and another message to millions of St. Louis Cardinals fans with a single API call respectively. New support for using tag expressions to enable advanced customer segmentation With today’s release we are adding support for even more advanced customer targeting.  You can now identify customers that you want to send push notifications to by defining rich tag expressions. With tag expressions, you can now not only broadcast notifications to Boston Red Sox fans, but take that segmenting a step farther and reach more granular segments. This opens up a variety of scenarios, for example: Offers based on multiple preferences—e.g. send a game day vegetarian special to users tagged as both a Boston Red Sox fan AND a vegetarian Push content to multiple segments in a single message—e.g. rain delay information only to users who are tagged as either a Boston Red Sox fan OR a St. Louis Cardinal fan Avoid presenting subsets of a segment with irrelevant content—e.g. season ticket availability reminder to users who are tagged as a Boston Red Sox fan but NOT also a season ticket holder To illustrate with code, consider a restaurant chain app that sends an offer related to a Red Sox vs Cardinals game for users in Boston. Devices can be tagged by your app with location tags (e.g. “Loc:Boston”) and interest tags (e.g. “Follows:RedSox”, “Follows:Cardinals”), and then a notification can be sent by your back-end to “(Follows:RedSox || Follows:Cardinals) && Loc:Boston” in order to deliver an offer to all devices in Boston that follow either the RedSox or the Cardinals. This can be done directly in your server backend send logic using the code below: var notification = new WindowsNotification(messagePayload); hub.SendNotificationAsync(notification, "(Follows:RedSox || Follows:Cardinals) && Loc:Boston"); In your expressions you can use all Boolean operators: AND (&&), OR (||), and NOT (!).  Some other cool use cases for tag expressions that are now supported include: Social: To “all my group except me” - group:id && !user:id Events: Touchdown event is sent to everybody following either team or any of the players involved in the action: Followteam:A || Followteam:B || followplayer:1 || followplayer:2 … Hours: Send notifications at specific times. E.g. Tag devices with time zone and when it is 12pm in Seattle send to: GMT8 && follows:thaifood Versions and platforms: Send a reminder to people still using your first version for Android - version:1.0 && platform:Android For help on getting started with Notification Hubs, visit the Notification Hub documentation center.  Then download the latest NuGet package (or use the Notification Hubs REST APIs directly) to start sending push notifications using tag expressions.  They are really powerful and enable a bunch of great new scenarios. TFS & GIT: Continuous Delivery Support for Web Sites + Cloud Services With today’s Windows Azure release we are making it really easy to enable continuous delivery support with Windows Azure and Team Foundation Services.  Team Foundation Services is a cloud based offering from Microsoft that provides integrated source control (with both TFS and Git support), build server, test execution, collaboration tools, and agile planning support.  It makes it really easy to setup a team project (complete with automated builds and test runners) in the cloud, and it has really rich integration with Visual Studio. With today’s Windows Azure release it is now really easy to enable continuous delivery support with both TFS and Git based repositories hosted using Team Foundation Services.  This enables a workflow where when code is checked in, built successfully on an automated build server, and all tests pass on it – I can automatically have the app deployed on Windows Azure with zero manual intervention or work required. The below screen-shots demonstrate how to quickly setup a continuous delivery workflow to Windows Azure with a Git-based ASP.NET MVC project hosted using Team Foundation Services. Enabling Continuous Delivery to Windows Azure with Team Foundation Services The project I’m going to enable continuous delivery with is a simple ASP.NET MVC project whose source code I’m hosting using Team Foundation Services.  I did this by creating a “SimpleContinuousDeploymentTest” repository there using Git – and then used the new built-in Git tooling support within Visual Studio 2013 to push the source code to it.  Below is a screen-shot of the Git repository hosted within Team Foundation Services: I can access the repository within Visual Studio 2013 and easily make commits with it (as well as branch, merge and do other tasks).  Using VS 2013 I can also setup automated builds to take place in the cloud using Team Foundation Services every time someone checks in code to the repository: The cool thing about this is that I don’t have to buy or rent my own build server – Team Foundation Services automatically maintains its own build server farm and can automatically queue up a build for me (for free) every time someone checks in code using the above settings.  This build server (and automated testing) support now works with both TFS and Git based source control repositories. Connecting a Team Foundation Services project to Windows Azure Once I have a source repository hosted in Team Foundation Services with Automated Builds and Testing set up, I can then go even further and set it up so that it will be automatically deployed to Windows Azure when a source code commit is made to the repository (assuming the Build + Tests pass).  Enabling this is now really easy.  To set this up with a Windows Azure Web Site simply use the New->Compute->Web Site->Custom Create command inside the Windows Azure Management Portal.  This will create a dialog like below.  I gave the web site a name and then made sure the “Publish from source control” checkbox was selected: When we click next we’ll be prompted for the location of the source repository.  We’ll select “Team Foundation Services”: Once we do this we’ll be prompted for our Team Foundation Services account that our source repository is hosted under (in this case my TFS account is “scottguthrie”): When we click the “Authorize Now” button we’ll be prompted to give Windows Azure permissions to connect to the Team Foundation Services account.  Once we do this we’ll be prompted to pick the source repository we want to connect to.  Starting with today’s Windows Azure release you can now connect to both TFS and Git based source repositories.  This new support allows me to connect to the “SimpleContinuousDeploymentTest” respository we created earlier: Clicking the finish button will then create the Web Site with the continuous delivery hooks setup with Team Foundation Services.  Now every time someone pushes source control to the repository in Team Foundation Services, it will kick off an automated build, run all of the unit tests in the solution , and if they pass the app will be automatically deployed to our Web Site in Windows Azure.  You can monitor the history and status of these automated deployments using the Deployments tab within the Web Site: This enables a really slick continuous delivery workflow, and enables you to build and deploy apps in a really nice way. Developer Analytics: New Relic support for Web Sites + Mobile Services With today’s Windows Azure release we are making it really easy to enable Developer Analytics and Monitoring support with both Windows Azure Web Site and Windows Azure Mobile Services.  We are partnering with New Relic, who provide a great dev analytics and app performance monitoring offering, to enable this - and we have updated the Windows Azure Management Portal to make it really easy to configure. Enabling New Relic with a Windows Azure Web Site Enabling New Relic support with a Windows Azure Web Site is now really easy.  Simply navigate to the Configure tab of a Web Site and scroll down to the “developer analytics” section that is now within it: Clicking the “add-on” button will display some additional UI.  If you don’t already have a New Relic subscription, you can click the “view windows azure store” button to obtain a subscription (note: New Relic has a perpetually free tier so you can enable it even without paying anything): Clicking the “view windows azure store” button will launch the integrated Windows Azure Store experience we have within the Windows Azure Management Portal.  You can use this to browse from a variety of great add-on services – including New Relic: Select “New Relic” within the dialog above, then click the next button, and you’ll be able to choose which type of New Relic subscription you wish to purchase.  For this demo we’ll simply select the “Free Standard Version” – which does not cost anything and can be used forever:  Once we’ve signed-up for our New Relic subscription and added it to our Windows Azure account, we can go back to the Web Site’s configuration tab and choose to use the New Relic add-on with our Windows Azure Web Site.  We can do this by simply selecting it from the “add-on” dropdown (it is automatically populated within it once we have a New Relic subscription in our account): Clicking the “Save” button will then cause the Windows Azure Management Portal to automatically populate all of the needed New Relic configuration settings to our Web Site: Deploying the New Relic Agent as part of a Web Site The final step to enable developer analytics using New Relic is to add the New Relic runtime agent to our web app.  We can do this within Visual Studio by right-clicking on our web project and selecting the “Manage NuGet Packages” context menu: This will bring up the NuGet package manager.  You can search for “New Relic” within it to find the New Relic agent.  Note that there is both a 32-bit and 64-bit edition of it – make sure to install the version that matches how your Web Site is running within Windows Azure (note: you can configure your Web Site to run in either 32-bit or 64-bit mode using the Web Site’s “Configuration” tab within the Windows Azure Management Portal): Once we install the NuGet package we are all set to go.  We’ll simply re-publish the web site again to Windows Azure and New Relic will now automatically start monitoring the application Monitoring a Web Site using New Relic Now that the application has developer analytics support with New Relic enabled, we can launch the New Relic monitoring portal to start monitoring the health of it.  We can do this by clicking on the “Add Ons” tab in the left-hand side of the Windows Azure Management Portal.  Then select the New Relic add-on we signed-up for within it.  The Windows Azure Management Portal will provide some default information about the add-on when we do this.  Clicking the “Manage” button in the tray at the bottom will launch a new browser tab and single-sign us into the New Relic monitoring portal associated with our account: When we do this a new browser tab will launch with the New Relic admin tool loaded within it: We can now see insights into how our app is performing – without having to have written a single line of monitoring code.  The New Relic service provides a ton of great built-in monitoring features allowing us to quickly see: Performance times (including browser rendering speed) for the overall site and individual pages.  You can optionally set alert thresholds to trigger if the speed does not meet a threshold you specify. Information about where in the world your customers are hitting the site from (and how performance varies by region) Details on the latency performance of external services your web apps are using (for example: SQL, Storage, Twitter, etc) Error information including call stack details for exceptions that have occurred at runtime SQL Server profiling information – including which queries executed against your database and what their performance was And a whole bunch more… The cool thing about New Relic is that you don’t need to write monitoring code within your application to get all of the above reports (plus a lot more).  The New Relic agent automatically enables the CLR profiler within applications and automatically captures the information necessary to identify these.  This makes it super easy to get started and immediately have a rich developer analytics view for your solutions with very little effort. If you haven’t tried New Relic out yet with Windows Azure I recommend you do so – I think you’ll find it helps you build even better cloud applications.  Following the above steps will help you get started and deliver you a really good application monitoring solution in only minutes. Service Bus: Support for partitioned queues and topics With today’s release, we are enabling support within Service Bus for partitioned queues and topics. Enabling partitioning enables you to achieve a higher message throughput and better availability from your queues and topics. Higher message throughput is achieved by implementing multiple message brokers for each partitioned queue and topic.  The  multiple messaging stores will also provide higher availability. You can create a partitioned queue or topic by simply checking the Enable Partitioning option in the custom create wizard for a Queue or Topic: Read this article to learn more about partitioned queues and topics and how to take advantage of them today. Billing: New Billing Alert Service Today’s Windows Azure update enables a new Billing Alert Service Preview that enables you to get proactive email notifications when your Windows Azure bill goes above a certain monetary threshold that you configure.  This makes it easier to manage your bill and avoid potential surprises at the end of the month. With the Billing Alert Service Preview, you can now create email alerts to monitor and manage your monetary credits or your current bill total.  To set up an alert first sign-up for the free Billing Alert Service Preview.  Then visit the account management page, click on a subscription you have setup, and then navigate to the new Alerts tab that is available: The alerts tab allows you to setup email alerts that will be sent automatically once a certain threshold is hit.  For example, by clicking the “add alert” button above I can setup a rule to send myself email anytime my Windows Azure bill goes above $100 for the month: The Billing Alert Service will evolve to support additional aspects of your bill as well as support multiple forms of alerts such as SMS.  Try out the new Billing Alert Service Preview today and give us feedback. Summary Today’s Windows Azure release enables a ton of great new scenarios, and makes building applications hosted in the cloud even easier. If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using all of the above features today.  Then visit the Windows Azure Developer Center to learn more about how to build apps with it. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 155 156 157 158 159 160 161 162 163 164 165 166  | Next Page >