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  • Windows 8.1 Update 1 Disk Usage 100%

    - by Gookjin Jeong
    Background Information / Computer Specs I have a 14-inch Samsung Series 5 Ultra. Core i5 CPU, 750GB HDD, 8GB RAM, Intel HD Graphics 4000. I've had the computer for about 1.5 years with no major problems. Problem The issue appeared at the beginning of April this year, when I updated the OS to Windows 8.1 Update 1 (not from 8 to 8.1). After being on continually (except for at night, when I put it on sleep mode) for about 48 hours, the disk usage as seen by Task Manager hits 100%. When this happens, everything from opening/closing applications to typing and even bringing up the start screen by pressing the Windows key becomes extremely slow. The only way to make the disk usage decrease is to restart the computer. Then the problem repeats. I've used my current laptop (as well as my previous laptops) this way -- putting it on sleep mode at night and restarting it only when Windows needs to install updates -- for a long time. So I know the 100% disk usage is not due to the way I use the computer. The thing that causes the spike varies. Sometimes it's System, sometimes it's one of the various applications I installed (e.g. Chrome, Evernote, Spotify, Wunderlist, iTunes, etc.), and sometimes it's Antimalware Service Executable, etc. Tried Solutions I think I tried almost every solution out there for this problem: Running the check disk command (chkdsk /b /f /v /scan c:) from Admin Command Prompt Running Windows Memory Diagnostic Disabling Superfetch and Windows Search from services.msc Running "Fix problems with Windows Update" from Control Panel -- Troubleshooting Updating and rolling back the graphics driver (Intel HD 4000) Disabling "Use hardware acceleration when available" from Chrome settings Disabling Intel Rapid Storage Technology Running the SFC /SCANNOW command as recommended here Running a quick scan & a full scan from Windows Defender (no threats found) Taking the hard drive out and putting it back Refreshing the computer, from the Update and recovery -- Recovery option in Windows settings NONE of the above worked for me. I was about to give up but then noticed that one of the main culprits of the disk usage spike, as shown in the "Disk Activity" section of the Resource Monitor, was C:\System (pagefile.sys). I googled around and found that one of the recommended solutions was to disable pagefile. I then went to **Control Panel -- System and Security -- System -- Advanced system settings -- Advanced tab -- Performance settings -- Advanced tab -- "Change" under Virtual memory and discovered that the number for "Currently allocated" at the bottom was 1280MB, although the number for "Recommended" was 4533MB. I immediately changed it to 4533MB and checked my family members' computers to see what the numbers were like. All of theirs had a currently allocated space that was only slightly smaller than the recommended space. See screenshot below: This might fix the problem. I'll have to wait a couple more days.But if it doesn't, what in the world should I do next? I'm guessing the hard drive isn't failing because This computer is less than 2 years old; and Speccy says that the status of the HDD is good. Update 5/27/2014 The "4533MB" solution did not work. I had to reboot the computer about 30 minutes ago because the disk usage again hit 100%. When I opened Resource Monitor the C:\System (pagefile.sys) again was shown to be the culprit. I have now disabled pagefile entirely via the same window shown above in the screenshot. The number for "currently allocated" is now 0MB. Will update again in a couple days, or if the problem occurs again, whichever comes sooner.

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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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  • File server share access intermittent/slow/machine unstable: win2k8r2

    - by Jack B.
    I have a file server running Win2k8R2 on an older HP DL380G4. It has nothing set up on it other than file sharing. All drivers/firmware/updates installed. The file server is used as a dump for a bunch of test machines - so essentially a lot of small files are being written to it. It was working fine until it started showing the following symptoms: Shares became either very slow/intermittent or could not access them at all. Logging in the the server, you could use it like normal but windows would start freezing and eventually you had to hard reboot it because nothing was responsive. After rebooting, it would work fine for 20min-2hours and then degrade into this broken state again. Some info after investigation: HP Raid Config utility shows the Raid array as functioning properly (RAID5 btw). Event log shows a bunch of DoS attacks from the test machines, saying it has disconnected the connection a. AFAIK (not part of my job) the test machines haven't changed the way they log information to this server or the amount of them hasn't increased. b. Nothing is infected, this server was scanned fully, and the test machines are re-imaged almost daily. Nothing in performance monitor shows as anything being pegged at maximum (CPU/HD/Network/RAM) I installed MS Network Monitor and it is showing a lot of traffic The server was using one gigabit Ethernet connection, I connected the second one as well with the same results. Forgot to add - one of the commonly written to dirs on the share has over 16k subdirs in it, with a crapton of small files within those dirs. Some of the OS instability was slow access to the drive which has this directory - perfmon doesn't show much activity on the HD though so I'm not sure if this crowded dir is the cause. Here is one important fact: I ran into this issue 2-3 months ago, couldn't figure it out, but I had a spare identical machine so I swapped them out (thought it was related to the machine), and now I have the same issue. Also, the computer will be stable if I turn off file sharing. So is the server just getting DoS'd by the test machines? I've never dealt with such an issue. Is instability in the server's OS common when getting DoS'd? Is there anything I can do to confirm this before telling the owners of the test machines to optimize their traffic? (I'm not sure what they'll be able to do). Is there something within Win2k8R2 that can balance the traffic across the two NICs? Any help would be appreciated. Update: Another thought - the drive with the share is RAID5 across 6 SCSI320 300GB HDs. They are near full capacity about 100GB from 1TB left. Could the amount of tiny files could be causing some weirdness with the parity in this array? I think I've read something about this in the past but I'm no expert on RAID.

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  • Distributed and/or Parallel SSIS processing

    - by Jeff
    Background: Our company hosts SaaS DSS applications, where clients provide us data Daily and/or Weekly, which we process & merge into their existing database. During business hours, load in the servers are pretty minimal as it's mostly users running simple pre-defined queries via the website, or running drill-through reports that mostly hit the SSAS OLAP cube. I manage the IT Operations Team, and so far this has presented an interesting "scaling" issue for us. For our daily-refreshed clients, the server is only "busy" for about 4-6 hrs at night. For our weekly-refresh clients, the server is only "busy" for maybe 8-10 hrs per week! We've done our best to use some simple methods of distributing the load by spreading the daily clients evenly among the servers such that we're not trying to process daily clients back-to-back over night. But long-term this scaling strategy creates two notable issues. First, it's going to consume a pretty immense amount of hardware that sits idle for large periods of time. Second, it takes significant Production Support over-head to basically "schedule" the ETL such that they don't over-lap, and move clients/schedules around if they out-grow the resources on a particular server or allocated time-slot. As the title would imply, one option we've tried is running multiple SSIS packages in parallel, but in most cases this has yielded VERY inconsistent results. The most common failures are DTExec, SQL, and SSAS fighting for physical memory and throwing out-of-memory errors, and ETLs running 3,4,5x longer than expected. So from my practical experience thus far, it seems like running multiple ETL packages on the same hardware isn't a good idea, but I can't be the first person that doesn't want to scale multiple ETLs around manual scheduling, and sequential processing. One option we've considered is virtualizing the servers, which obviously doesn't give you any additional resources, but moves the resource contention onto the hypervisor, which (from my experience) seems to manage simultaneous CPU/RAM/Disk I/O a little more gracefully than letting DTExec, SQL, and SSAS battle it out within Windows. Question to the forum: So my question to the forum is, are we missing something obvious here? Are there tools out there that can help manage running multiple SSIS packages on the same hardware? Would it be more "efficient" in terms of parallel execution if instead of running DTExec, SQL, and SSAS same machine (with every machine running that configuration), we run in pairs of three machines with SSIS running on one machine, SQL on another, and SSAS on a third? Obviously that would only make sense if we could process more than the three ETL we were able to process on the machine independently. Another option we've considered is completely re-architecting our SSIS package to have one "master" package for all clients that attempts to intelligently chose a server based off how "busy" it already is in terms of CPU/Memory/Disk utilization, but that would be a herculean effort, and seems like we're trying to reinvent something that you would think someone would sell (although I haven't had any luck finding it). So in summary, are we missing an obvious solution for this, and does anyone know if any tools (for free or for purchase, doesn't matter) that facilitate running multiple SSIS ETL packages in parallel and on multiple servers? (What I would call a "queue & node based" system, but that's not an official term). Ultimately VMWare's Distributed Resource Scheduler addresses this as you simply run a consistent number of clients per VM that you know will never conflict scheduleing-wise, then leave it up to VMWare to move the VMs around to balance out hardware usage. I'm definitely not against using VMWare to do this, but since we're a 100% Microsoft app stack, it seems like -someone- out there would have solved this problem at the application layer instead of the hypervisor layer by checking on resource utilization at the OS, SQL, SSAS levels. I'm open to ANY discussion on this, and remember no suggestion is too crazy or radical! :-) Right now, VMWare is the only option we've found to get away from "manually" balancing our resources, so any suggestions that leave us on a pure Microsoft stack would be great. Thanks guys, Jeff

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  • Optimise Apache for EC2 micro instance

    - by Shiyu Sekam
    I'm running apache2 on a EC2 micro instance with ~600 mb RAM. The instance was running for almost a year without problems, but in the last weeks it just keeps crashing, because the server reached MaxClients. The server basically runs few websites, one wordpress blog(not often used), company website(most used) and 2 small sites, which are just internal. The database for the blog runs on RDS, so there's no Mysql running on this web server. When I came to the company, the server already was setup and is running apache + mod_php + prefork. We want to migrate that in the future to a nginx + php-fpm, but it still needs further testing. So for now I have to stick with the old setup. I also use CloudFlare DDOS protection in front of the server, because it was attacked a couple of the times in the last weeks. My company don't want to pay money for a better web server at this point, so I have to stick with the micro instance also. Additionally the code for the website we run is really bad and slow and sometimes a single page load can take up to 15 seconds. The whole website is dynamic and written in PHP, so caching isn't really an option here. It's a customized search for users. I've already turned off KeepAlive, which improved the performance a little bit. My prefork config looks like the following: StartServers 2 MinSpareServers 2 MaxSpareServers 5 ServerLimit 10 MaxClients 10 MaxRequestsPerChild 100 The server just becomes unresponsive after a while running and I've run the following command to see how many connections there are: netstat | grep http | wc -l 75 Trying to restart apache helps for a short moment, but after that a while the apache process(es) become unresponsive again. I've the following modules enabled(output of apache2ctl -M) Loaded Modules: core_module (static) log_config_module (static) logio_module (static) version_module (static) mpm_prefork_module (static) http_module (static) so_module (static) alias_module (shared) authz_host_module (shared) deflate_module (shared) dir_module (shared) expires_module (shared) mime_module (shared) negotiation_module (shared) php5_module (shared) rewrite_module (shared) setenvif_module (shared) ssl_module (shared) status_module (shared) Syntax OK apache2.conf # Security ServerTokens OS ServerSignature On TraceEnable On ServerName "web.example.com" ServerRoot "/etc/apache2" PidFile ${APACHE_PID_FILE} Timeout 30 KeepAlive off User www-data Group www-data AccessFileName .htaccess <Files ~ "^\.ht"> Order allow,deny Deny from all Satisfy all </Files> <Directory /> Options FollowSymLinks AllowOverride None </Directory> DefaultType none HostnameLookups Off ErrorLog /var/log/apache2/error.log LogLevel warn EnableSendfile On #Listen 80 Include /etc/apache2/mods-enabled/*.load Include /etc/apache2/mods-enabled/*.conf Include /etc/apache2/ports.conf LogFormat "%h %l %u %t \"%r\" %>s %b \"%{Referer}i\" \"%{User-Agent}i\"" combined LogFormat "%h %l %u %t \"%r\" %>s %b" common LogFormat "%{Referer}i -> %U" referer LogFormat "%{User-agent}i" agent Include /etc/apache2/conf.d/*.conf Include /etc/apache2/sites-enabled/*.conf Vhost of main site <VirtualHost *:80> ServerName www.example.com ## Vhost docroot DocumentRoot /srv/www/jenkins/Web ## Directories, there should at least be a declaration for /srv/www/jenkins/Web <Directory /srv/www/jenkins/Web> AllowOverride All Order allow,deny Allow from all </Directory> ## Load additional static includes ## Logging ErrorLog /var/log/apache2/www.example.com.error.log LogLevel warn ServerSignature Off CustomLog /var/log/apache2/www.example.com.access.log combined ## Rewrite rules RewriteEngine On RewriteCond %{HTTP_HOST} !^www.example.com$ RewriteRule ^.*$ http://www.example.com%{REQUEST_URI} [R=301,L] ## Server aliases ServerAlias www.example.invalid ServerAlias example.com ## Custom fragment <Location /srv/www/jenkins/Web/library> Order Deny,Allow Deny from all </Location> <Files ~ "^\.(.+)"> Order deny,allow deny from all </Files> </VirtualHost>

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  • Apache Getting Bogged Down By Certain Script (Wp-Cron.php) - How To Kill Process Automatically

    - by user50037
    I have a server that is running a number of wordpress blogs, and a number of them have several hundred/thousand posts. Every couple of days, the server slows to a crawl due to a file being run on Wordpress called WP-cron.php. My entire apache process log turns into this : http:// imgur.com/A7K9k.png Times that by quite a bit. And server no go. Each process takes up about 1.1% of ram. And when we have 50 of them on the go. It gets insane. Not all of them are coming from the same blog, they are pretty widespread. In the Apache process page of WHM, they are usually ALL set to the status of "C", which means closing. But they can sit there until they crash the server, and they still hold the memory. Just google "wp-cron.php load" and you will find plenty of people with similar issues. In anycase, we have think it is down to users adding a tonne of dead "pinglists" to their wordpress installation. Which in turn wordpress loops through them endlessly. Problem number 1. Does anyone have any other suggestions about what would cause the Wordpress file wp-cron.php to loop endlessly. I still think it is down to pings, because all of the people we have contacted about their account load going sky high, have had massive ping lists. Problem number 2. Even if it is down to excessive pinglists in wordpress. We cannot be babying every single account on the server waiting for it to start spawning the wp-cron processes. It often happens overnight, and I start getting SMS alerts at 2am about the load. I have CSF installed, which apparently would have ended the processes if they ran over XXX time. But I have been told that it won't catch the processes because they end up in this state of "closing" (They show up as "C" on the Apache page of WHM). Apparently CSF will only kill processes that are "running" which C does not count. I have seen various other scripts such as : http://dltj.org/article/die-apache-die/ . I took a look at the stat of /proc. But I was boggled at which delimited part was the time running. And if there was any way I could connect it back to an actual Apache process, so that I could see what file was running (So only close connections connected to wp-cron.php, with a state of "C"). Overall I know Problem 2 glosses over the real reason. But I do put the whole thing to excessive pinglists in Wordpress. But I just cannot sit there and babysit every single installation 24/7. So I need a way to save the server when I am not available. Any help would be much appreciated.

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  • File server share access intermittent/slow/machine unstable: win2kr2

    - by Jack B.
    I have a file server running Win2k8R2 on an older HP DL380G4. It has nothing set up on it other than file sharing. All drivers/firmware/updates installed. The file server is used as a dump for a bunch of test machines - so essentially a lot of small files are being written to it. It was working fine until it started showing the following symptoms: Shares became either very slow/intermittent or could not access them at all. Logging in the the server, you could use it like normal but windows would start freezing and eventually you had to hard reboot it because nothing was responsive. After rebooting, it would work fine for 20min-2hours and then degrade into this broken state again. Some info after investigation: HP Raid Config utility shows the Raid array as functioning properly (RAID5 btw). Event log shows a bunch of DoS attacks from the test machines, saying it has disconnected the connection a. AFAIK (not part of my job) the test machines haven't changed the way they log information to this server or the amount of them hasn't increased. b. Nothing is infected, this server was scanned fully, and the test machines are re-imaged almost daily. Nothing in performance monitor shows as anything being pegged at maximum (CPU/HD/Network/RAM) I installed MS Network Monitor and it is showing a lot of traffic The server was using one gigabit Ethernet connection, I connected the second one as well with the same results. Forgot to add - one of the commonly written to dirs on the share has over 16k subdirs in it, with a crapton of small files within those dirs. Some of the OS instability was slow access to the drive which has this directory - perfmon doesn't show much activity on the HD though so I'm not sure if this crowded dir is the cause. Here is one important fact: I ran into this issue 2-3 months ago, couldn't figure it out, but I had a spare identical machine so I swapped them out (thought it was related to the machine), and now I have the same issue. Also, the computer will be stable if I turn off file sharing. So is the server just getting DoS'd by the test machines? I've never dealt with such an issue. Is instability in the server's OS common when getting DoS'd? Is there anything I can do to confirm this before telling the owners of the test machines to optimize their traffic? (I'm not sure what they'll be able to do). Is there something within Win2k8R2 that can balance the traffic across the two NICs? Any help would be appreciated. Update: Another thought - the drive with the share is RAID5 across 6 SCSI320 300GB HDs. They are near full capacity about 100GB from 1TB left. Could the amount of tiny files could be causing some weirdness with the parity in this array? I think I've read something about this in the past but I'm no expert on RAID.

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  • Hard drive write speed - finding a lighter antivirus?

    - by Shingetsu
    I recently have been getting a lot of system lag here (for example, the mouse and the display in general take about 15 seconds to react in the worst cases). After a lot of monitoring the resources, I found that the problem mainly happens when too much Disk I/O is being done. Three culprits have been identified: My browser had the highest write I/O with 35,000,000 I/O Write Bytes. Steam had the highest read I/O (when IDLE!!!) with 106,000,000 I/O Read Bytes. My antivirus (in both cases I will soon mention) was the runner up in both cases with: 30,000,000ish write and 80,000,000ish read. The first AV I had was Avast! which I had liked on my previous system. After noticing it taking so much I/O I switched to Panda (supposing it wouldn't use TOO much during idle phase). However it only used a bit less I/O. Just a lot less memory and cpu and somewhat more network. My browser at the moment is Maxthon 3 (which I like a lot). Before this I was running chrome which had similar data and much higher cpu when running in the background was enabled. I'm not going to be running steam all the time and there aren't many alternatives to it. I like my browser very much, but I AM willing to switch if there's an obvious problem (I'm in programming, however I'm not a very good sysadmin, especially not when it comes to windows). Finally, my system almost stops lagging when I turn off the antivirus (and preferably steam) (some remains but once in every 5-6 hours for a few seconds so it isn't a big problem). My question (has a few parts): Is it possible to configure steam to lower it's I/O usage? (and maybe network while we're at it?) Which antivirus (very preferably free) uses lowest I/O while idle (I leave PC alone during active scans so that isn't a problem). Is there an obvious problem with my current browser and, if so, is there a way to fix it or should I switch and, if so, to what? (P.S. I've been on FFox for some time too). Info on system: Windows 7 (32 bit T_T, I am getting a new one in a few months but I want to keep using system during that time though). Hard Drive (main) is a Raid0. (Also have an external 1TB one which contains steam (and steam alone). As such it doesn't get used by much anything other than steam and isn't a very large problem. However steam still uses some I/O of registry) CPU: Intel(R) Core(TM)2 CPU [email protected] RAM: 6GB (3.25GB usable) (this and CPU have little effect as shown in next section) Additional info: Memory usage during problematic times: 44% CPU usage during problematic times: 35% Page File: main drive: system managed. 1TB drive: none. The current system I'm using is about 6 years old and is mainly a place holder while I await the new one in a few months. Final words: this is my 1st post on Super User (this question wouldn't feel right on Stack Overflow where I usually stay). If it doesn't have it's place here please tell me. If anything is wrong with it, same. Edit Technically I'm looking for a live thread detection program with minimal IO usage. I already have good active scan capability: Kaspersky (the free scanner uses the paid database) and MalwareBytes. Edit 2 Noticed another one, it seems that windows media player has been using stuff even when off! Turning it off and restarting now. If the problem is fixed I'll tell you guys. The reason I didn't notice it before was because I didn't have resource manager in front of me at the MOMENT of the problem. Now I did and it was at the very top of the list!

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  • An offscreen MKMapView behaves differently in 3.2, 4.0

    - by Duane Fields
    In 3.1 I've been using an "offscreen" MKMapView to create map images that I can rotate, crop and so forth before presenting them the user. In 3.2 and 4.0 this technique no longer works quite right. Here's some code that illustrates the problem, followed by my theory. // create map view _mapView = [[MKMapView alloc] initWithFrame:CGRectMake(0, 0, MAP_FRAME_SIZE, MAP_FRAME_SIZE)]; _mapView.zoomEnabled = NO; _mapView.scrollEnabled = NO; _mapView.delegate = self; _mapView.mapType = MKMapTypeSatellite; // zoom in to something enough to fill the screen MKCoordinateRegion region; CLLocationCoordinate2D center = {30.267222, -97.763889}; region.center = center; MKCoordinateSpan span = {0.1, 0.1 }; region.span = span; _mapView.region = region; // set scrollview content size to full the imageView _scrollView.contentSize = _imageView.frame.size; // force it to load #ifndef __IPHONE_3_2 // in 3.1 we can render to an offscreen context to force a load UIGraphicsBeginImageContext(_mapView.frame.size); [_mapView.layer renderInContext:UIGraphicsGetCurrentContext()]; UIGraphicsEndImageContext(); #else // in 3.2 and above, the renderInContext trick doesn't work... // this at least causes the map to render, but it's clipped to what appears to be // the viewPort size, plus some padding [self.view addSubview:_mapView]; #endif when the map is done loading, I snap picture of it and stuff it in my scrollview - (void)mapViewDidFinishLoadingMap:(MKMapView *)mapView { NSLog(@"[MapBuilder] mapViewDidFinishLoadingMap"); // render the map to a UIImage UIGraphicsBeginImageContext(mapView.bounds.size); // the first sub layer is just the map, the second is the google layer, this sublayer structure might change of course [[[mapView.layer sublayers] objectAtIndex:0] renderInContext:UIGraphicsGetCurrentContext()]; // we are done with the mapView at this point, we need its ram! _mapView.delegate = nil; [_mapView release]; [_mapView removeFromSuperview]; _mapView = nil; UIImage* mapImage = [UIGraphicsGetImageFromCurrentImageContext() retain]; UIGraphicsEndImageContext(); _imageView.image = mapImage; [mapImage release], mapImage = nil; } The first problem is that in 3.1 rendering to a context would trigger the map to begin loading. This no longer works in 3.2, 4.0. The only thing I have found would trigger the load is to temporarily add the map to the view (i.e. make it visible). The problem being that the map only renders to the visible area of the screen, plus a little padding. The frame/bounds are fine, but it appears to be "helpfully" optimizes the loading to limit the tiles to those visible on the screen or close to it. Any ideas how to force the map to load at full size? Anyone else have this issue?

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  • Troubleshooting .NET "Fatal Execution Engine Error"

    - by JYelton
    Summary: I periodically get a .NET Fatal Execution Engine Error on an application which I cannot seem to debug. The dialog that comes up only offers to close the program or send information about the error to Microsoft. I've tried looking at the more detailed information but I don't know how to make use of it. Error: The error is visible in Event Viewer under Applications and is as follows: .NET Runtime version 2.0.50727.3607 - Fatal Execution Engine Error (7A09795E) (80131506) The computer running it is Windows XP Professional SP 3. (Intel Core2Quad Q6600 2.4GHz w/ 2.0 GB of RAM) Other .NET-based projects that lack multi-threaded downloading (see below) seem to run just fine. Application: The application is written in C#/.NET 3.5 using VS2008, and installed via a setup project. The app is multi-threaded and downloads data from multiple web servers using System.Net.HttpWebRequest and its methods. I've determined that the .NET error has something to do with either threading or HttpWebRequest but I haven't been able to get any closer as this particular error seems impossible to debug. I've tried handling errors on many levels, including the following in Program.cs: // handle UI thread exceptions Application.ThreadException += new ThreadExceptionEventHandler(Application_ThreadException); // handle non-UI thread exceptions AppDomain.CurrentDomain.UnhandledException += new UnhandledExceptionEventHandler(CurrentDomain_UnhandledException); Application.EnableVisualStyles(); Application.SetCompatibleTextRenderingDefault(false); // force all windows forms errors to go through our handler Application.SetUnhandledExceptionMode(UnhandledExceptionMode.CatchException); More Notes and What I've Tried... Installed Visual Studio 2008 on the target machine and tried running in debug mode, but the error still occurs, with no hint as to where in source code it occurred. When running the program from its installed version (Release) the error occurs more frequently, usually within minutes of launching the application. When running the program in debug mode inside of VS2008, it can run for hours or days before generating the error. Reinstalled .NET 3.5 and made sure all updates are applied. Broke random cubicle objects in frustration. Rewritten parts of code that deal with threading and downloading in attempts to catch and log exceptions, though logging seemed to aggravate the problem (and never provided any data). Question: What steps can I take to troubleshoot or debug this kind of error? Memory dumps and the like seem to be the next step, but I'm not experienced at interpreting them. Perhaps there's something more I can do in the code to try and catch errors... It would be nice if the "Fatal Execution Engine Error" was more informative, but internet searches have only told me that it's a common error for a lot of .NET-related items.

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  • Tips / techniques for high-performance C# server sockets

    - by McKenzieG1
    I have a .NET 2.0 server that seems to be running into scaling problems, probably due to poor design of the socket-handling code, and I am looking for guidance on how I might redesign it to improve performance. Usage scenario: 50 - 150 clients, high rate (up to 100s / second) of small messages (10s of bytes each) to / from each client. Client connections are long-lived - typically hours. (The server is part of a trading system. The client messages are aggregated into groups to send to an exchange over a smaller number of 'outbound' socket connections, and acknowledgment messages are sent back to the clients as each group is processed by the exchange.) OS is Windows Server 2003, hardware is 2 x 4-core X5355. Current client socket design: A TcpListener spawns a thread to read each client socket as clients connect. The threads block on Socket.Receive, parsing incoming messages and inserting them into a set of queues for processing by the core server logic. Acknowledgment messages are sent back out over the client sockets using async Socket.BeginSend calls from the threads that talk to the exchange side. Observed problems: As the client count has grown (now 60-70), we have started to see intermittent delays of up to 100s of milliseconds while sending and receiving data to/from the clients. (We log timestamps for each acknowledgment message, and we can see occasional long gaps in the timestamp sequence for bunches of acks from the same group that normally go out in a few ms total.) Overall system CPU usage is low (< 10%), there is plenty of free RAM, and the core logic and the outbound (exchange-facing) side are performing fine, so the problem seems to be isolated to the client-facing socket code. There is ample network bandwidth between the server and clients (gigabit LAN), and we have ruled out network or hardware-layer problems. Any suggestions or pointers to useful resources would be greatly appreciated. If anyone has any diagnostic or debugging tips for figuring out exactly what is going wrong, those would be great as well. Note: I have the MSDN Magazine article Winsock: Get Closer to the Wire with High-Performance Sockets in .NET, and I have glanced at the Kodart "XF.Server" component - it looks sketchy at best.

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  • why jQuery.parseJSON is not a function?

    - by Pandiya Chendur
    I use the following jquery statements and i am getting the error, jQuery.parseJSON is not a function my function is, function Iteratejsondata() {var HfJsonValue = { "Table": [{ "Emp_Id": "3", "Identity_No": "", "Emp_Name": "Jerome", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Supervisior", "Desig_Description": "Supervisior of the Construction", "SalaryBasis": "Monthly", "FixedSalary": "25000.00" }, { "Emp_Id": "4", "Identity_No": "", "Emp_Name": "Mohan", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Acc ", "Desig_Description": "Accountant", "SalaryBasis": "Monthly", "FixedSalary": "200.00" }, { "Emp_Id": "5", "Identity_No": "", "Emp_Name": "Murugan", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Mason", "Desig_Description": "Mason", "SalaryBasis": "Weekly", "FixedSalary": "150.00" }, { "Emp_Id": "6", "Identity_No": "", "Emp_Name": "Ram", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Mason", "Desig_Description": "Mason", "SalaryBasis": "Weekly", "FixedSalary": "120.00" }, { "Emp_Id": "7", "Identity_No": "", "Emp_Name": "Raja", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Mason", "Desig_Description": "Mason", "SalaryBasis": "Weekly", "FixedSalary": "135.00" }, { "Emp_Id": "8", "Identity_No": "", "Emp_Name": "Raja kumar", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Mason Helper", "Desig_Description": "Mason Helper", "SalaryBasis": "Weekly", "FixedSalary": "105.00" }, { "Emp_Id": "9", "Identity_No": "", "Emp_Name": "Lakshmi", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Mason Helper", "Desig_Description": "Mason Helper", "SalaryBasis": "Weekly", "FixedSalary": "100.00" }, { "Emp_Id": "10", "Identity_No": "", "Emp_Name": "Palani", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Carpenter", "Desig_Description": "Carpenter", "SalaryBasis": "Weekly", "FixedSalary": "200.00" }, { "Emp_Id": "11", "Identity_No": "", "Emp_Name": "Annamalai", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Carpenter", "Desig_Description": "Carpenter", "SalaryBasis": "Weekly", "FixedSalary": "220.00" }, { "Emp_Id": "12", "Identity_No": "", "Emp_Name": "David", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Steel Fixer", "Desig_Description": "Steel Fixer", "SalaryBasis": "Weekly", "FixedSalary": "220.00" }, { "Emp_Id": "13", "Identity_No": "", "Emp_Name": "Chandru", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Steel Fixer", "Desig_Description": "Steel Fixer", "SalaryBasis": "Weekly", "FixedSalary": "220.00" }, { "Emp_Id": "14", "Identity_No": "", "Emp_Name": "Mani", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Steel Helper", "Desig_Description": "Steel Helper", "SalaryBasis": "Weekly", "FixedSalary": "175.00" }, { "Emp_Id": "15", "Identity_No": "", "Emp_Name": "Karthik", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Wood Fixer", "Desig_Description": "Wood Fixer", "SalaryBasis": "Weekly", "FixedSalary": "195.00" }, { "Emp_Id": "16", "Identity_No": "", "Emp_Name": "Bala", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Wood Fixer", "Desig_Description": "Wood Fixer", "SalaryBasis": "Weekly", "FixedSalary": "185.00" }, { "Emp_Id": "17", "Identity_No": "", "Emp_Name": "Tamil arasi", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Wood Helper", "Desig_Description": "Wood Helper", "SalaryBasis": "Weekly", "FixedSalary": "185.00" }, { "Emp_Id": "18", "Identity_No": "", "Emp_Name": "Perumal", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Cook", "Desig_Description": "Cook", "SalaryBasis": "Weekly", "FixedSalary": "105.00" }, { "Emp_Id": "19", "Identity_No": "", "Emp_Name": "Andiappan", "Address": "Madurai", "Date_Of_Birth": "", "Desig_Name": "Watchman", "Desig_Description": "Watchman", "SalaryBasis": "Weekly", "FixedSalary": "150.00"}] }; //var jsonObj = eval('(' + HfJsonValue + ')'); var jsonObj = jQuery.parseJSON(HfJsonValue); and my page looks like this <div id="Pagination" class="page-numbers"></div> <br style="clear:both;" /> <div id="Searchresult"></div> <div id="hiddenresult" style="display:none;"> </div> <script type="text/javascript"> var pagination_options = { num_edge_entries: 2, num_display_entries: 8, callback: pageselectCallback, items_per_page: 3 } function pageselectCallback(page_index, jq) { var items_per_page = pagination_options.items_per_page; var offset = page_index * items_per_page; var new_content = $('#hiddenresult div.resultsdiv').slice(offset, offset + items_per_page).clone(); $('#Searchresult').empty().append(new_content); return false; } function initPagination() { var num_entries = $('#hiddenresult div.resultsdiv').length; // Create pagination element $("#Pagination").pagination(num_entries, pagination_options); } $(document).ready(function() { Iteratejsondata(); initPagination(); }); </script> I ve inspected through firebug and saw all jquery files have been downloaded but why this is hapenning? Any suggestion....

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  • Very slow compile times on Visual Studio

    - by johnc
    We are getting very slow compile times, which can take upwards of 20+ minutes on dual core 2GHz, 2G Ram machines. A lot of this is due to the size of our solution which has grown to 70+ projects, as well as VSS which is a bottle neck in itself when you have a lot of files. (swapping out VSS is not an option unfortunately, so I don't want this to descend into a VSS bash) We are looking at combing projects (not nice, as we like the separation of concerns, but is a good opportunity to refactor away some dead wood). We are also looking at having multiple solutions to achieve greater separation of concerns and quicker compile times for each element of the application. This I can see will become a dll hell as we try to keep things in synch. I am interested to know how other teams have dealt with this scaling issue, what do you do when your code base reaches a critical mass that you are wasting half the day watching the status bar deliver compile messages UPDATE Apologies, I neglected to mention this is a C# solution. Thanks for all the cpp suggestions, but it's been a few years since I've had to worry about headers. At a distance I say I miss C++, but I'm not sure I want to go back EDIT: Nice suggestions that have helped so far (not saying there aren't other nice suggestions below, just what has helped) New 3GHz laptop - the power of lost utilization works wonders when whinging to management Disable Anti Virus during compile 'Disconnecting' from VSS (actually the network) during compile - I may get us to remove VS-VSS integration altogether and stick to using the VSS UI Still not rip-snorting through a compile, but every bit helps. Orion did mention in a comment that generics may have a play also. From my tests there does appear to be a minimal performance hit, but not high enough to sure - compile times can be inconsistent due to disc activity. Due to time limitations, my tests didn't include as many Generics, or as much code, as would appear in live system, so that may accumulate. I wouldn't avoid using generics where they are supposed to be used, just for compile time performance WORKAROUND We are testing the practice of building new areas of the application in new solutions, importing in the latest dlls as required, them integrating them into the larger solution when we are happy with them. We may also do them same to existing code by creating temporary solutions that just encapsulate the areas we need to work on, and throwing them away after reintegrating the code. We need to weigh up the time it will take to reintegrate this code against the time we gain by not having Rip Van Winkle like experiences with rapid recompiling during development.

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  • Python Memory leak - Solved, but still puzzled

    - by disappearedng
    Dear everyone, I have successfully debugged my own memory leak problems. However, I have noticed some very strange occurence. for fid, fv in freqDic.iteritems(): outf.write(fid+"\t") #ID for i, term in enumerate(domain): #Vector tfidf = self.tf(term, fv) * self.idf( term, docFreqDic) if i == len(domain) - 1: outf.write("%f\n" % tfidf) else: outf.write("%f\t" % tfidf) outf.flush() print "Memory increased by", int(self.memory_mon.usage()) - startMemory outf.close() def tf(self, term, freqVector): total = freqVector[TOTAL] if total == 0: return 0 if term not in freqVector: ## When you don't have these lines memory leaks occurs return 0 ## return float(freqVector[term]) / freqVector[TOTAL] def idf(self, term, docFrequencyPerTerm): if term not in docFrequencyPerTerm: return 0 return math.log( float(docFrequencyPerTerm[TOTAL])/docFrequencyPerTerm[term]) Basically let me describe my problem: 1) I am doing tfidf calculations 2) I traced that the source of memory leaks is coming from defaultdict. 3) I am using the memory_mon from http://stackoverflow.com/questions/276052/how-to-get-current-cpu-and-ram-usage-in-python 4) The reason for my memory leaks is as follows: a) in self.tf, if the lines: if term not in freqVector: return 0 are not added that will cause the memory leak. (I verified this myself using memory_mon and noticed a sharp increase in memory that kept on increasing) The solution to my problem was 1) since fv is a defaultdict, any reference to it that are not found in fv will create an entry. Over a very large domain, this will cause memory leaks. I decided to use dict instead of default dict and the memory problem did go away. My only puzzle is: since fv is created in "for fid, fv in freqDic.iteritems():" shouldn't fv be destroyed at the end of every for loop? I tried putting gc.collect() at the end of the for loop but gc was not able to collect everything (returns 0). Yes, the hypothesis is right, but the memory should stay fairly consistent with ever for loop if for loops do destroy all temp variables. This is what it looks like with that two line in self.tf: Memory increased by 12 Memory increased by 948 Memory increased by 28 Memory increased by 36 Memory increased by 36 Memory increased by 32 Memory increased by 28 Memory increased by 32 Memory increased by 32 Memory increased by 32 Memory increased by 40 Memory increased by 32 Memory increased by 32 Memory increased by 28 and without the the two line: Memory increased by 1652 Memory increased by 3576 Memory increased by 4220 Memory increased by 5760 Memory increased by 7296 Memory increased by 8840 Memory increased by 10456 Memory increased by 12824 Memory increased by 13460 Memory increased by 15000 Memory increased by 17448 Memory increased by 18084 Memory increased by 19628 Memory increased by 22080 Memory increased by 22708 Memory increased by 24248 Memory increased by 26704 Memory increased by 27332 Memory increased by 28864 Memory increased by 30404 Memory increased by 32856 Memory increased by 33552 Memory increased by 35024 Memory increased by 36564 Memory increased by 39016 Memory increased by 39924 Memory increased by 42104 Memory increased by 42724 Memory increased by 44268 Memory increased by 46720 Memory increased by 47352 Memory increased by 48952 Memory increased by 50428 Memory increased by 51964 Memory increased by 53508 Memory increased by 55960 Memory increased by 56584 Memory increased by 58404 Memory increased by 59668 Memory increased by 61208 Memory increased by 62744 Memory increased by 64400 I look forward to your answer

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  • Android: OutofMemoryError: bitmap size exceeds VM budget with no reason I can see.

    - by Meymann
    Hi. I am having an OutOfMemory exception with a gallery over 600x800 pixels JPEG's. The environment I've been using Gallery with JPG images around 600x800 pixels. Since my content may be a bit more complex than just images, I have set each view to be a RelativeLayout that wraps ImageView with the JPG. In order to "speed up" the user experience I have a simple cache of 4 slots that prefetches (in a looper) about 1 image left and 1 image right to the displayed image and keeps them in a 4 slot HashMap. The platform I am using AVD of 256 RAM and 128 Heap Size, with a 600x800 screen. It also happens on an Entourage Edge target, except that with the device it's harder to debug. The problem I have been getting an exception: OutofMemoryError: bitmap size exceeds VM budget And it happens when fetching the fifth image. I have tried to change the size of my image cache, and it is still the same. The strange thing: There should not be a memory problem In order to make sure the heap limit is very far away from what I need, I have defined a dummy 8MB array in the beginning, and left it unreferenced so it's immediately dispatched. It is a member of the activity thread and is defined as following static { @SuppressWarnings("unused") byte dummy[] = new byte[ 8*1024*1024 ]; } The result is that the heap size is nearly 11MB and it's all free. Note I have added that trick after it began to crash. It makes OutOfMemory less frequent. Now, I am using DDMS. Just before the crash (does not change much after the crash), DDMS shows: ID Heap Size Allocated Free %Used #Objects 1 11.195 MB 2.428 MB 8.767 MB 21.69% 47,156 And in the detail table it shows: Type Count Total Size Smallest Largest Median Average free 1,536 8.739MB 16B 7.750MB 24B 5.825KB The largest block is 7.7MB. And yet the LogCat says: ERROR/dalvikvm-heap(1923): 925200-byte external allocation too large for this process. If you mind the relation of the median and the average, it is plausible to assume that most of the available blocks are very small. However, there is a block large enough for the bitmap, it's 7.7M. How come it is still not enough? Note: I recorded a heap trace. When looking at the amount of data allocated, it does not feel like more than 2M is allocated. It does match the free memory report by DDMS. Could it be that I experience some problem like heap-fragmentation? How do I solve/workaround the problem? Is the heap shared to all threads? Could it be that I interpret the DDMS readout in a wrong way, and there is really no 900K block to allocate? If so, can anybody please tell me where I can see that? Thanks a lot Meymann

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  • Paging through records (json data) using jQuery...

    - by Pandiya Chendur
    I have a JSON result that contains numerous records. I'd like to show the first five records in one page and create pager links which have to move to that page with five record so on. I don't want the page to refresh which is why I'm hoping for a combination of JavaScript and jQuery. My json data looks like this: {"Table" : [ {"Emp_Id" : "3","Identity_No" : "","Emp_Name" : "Jerome","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Supervisior","Desig_Description" : "Supervisior of the Construction","SalaryBasis" : "Monthly","FixedSalary" : "25000.00"}, {"Emp_Id" : "4","Identity_No" : "","Emp_Name" : "Mohan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Acc ","Desig_Description" : "Accountant","SalaryBasis" : "Monthly","FixedSalary" : "200.00"}, {"Emp_Id" : "5","Identity_No" : "","Emp_Name" : "Murugan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "150.00"}, {"Emp_Id" : "6","Identity_No" : "","Emp_Name" : "Ram","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "120.00"}, {"Emp_Id" : "7","Identity_No" : "","Emp_Name" : "Raja","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "135.00"}, {"Emp_Id" : "8","Identity_No" : "","Emp_Name" : "Raja kumar","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason Helper","Desig_Description" : "Mason Helper","SalaryBasis" : "Weekly","FixedSalary" : "105.00"}, {"Emp_Id" : "9","Identity_No" : "","Emp_Name" : "Lakshmi","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason Helper","Desig_Description" : "Mason Helper","SalaryBasis" : "Weekly","FixedSalary" : "100.00"}, {"Emp_Id" : "10","Identity_No" : "","Emp_Name" : "Palani","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Carpenter","Desig_Description" : "Carpenter","SalaryBasis" : "Weekly","FixedSalary" : "200.00"}, {"Emp_Id" : "11","Identity_No" : "","Emp_Name" : "Annamalai","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Carpenter","Desig_Description" : "Carpenter","SalaryBasis" : "Weekly","FixedSalary" : "220.00"}, {"Emp_Id" : "12","Identity_No" : "","Emp_Name" : "David","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Fixer","Desig_Description" : "Steel Fixer","SalaryBasis" : "Weekly","FixedSalary" : "220.00"}, {"Emp_Id" : "13","Identity_No" : "","Emp_Name" : "Chandru","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Fixer","Desig_Description" : "Steel Fixer","SalaryBasis" : "Weekly","FixedSalary" : "220.00"}, {"Emp_Id" : "14","Identity_No" : "","Emp_Name" : "Mani","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Helper","Desig_Description" : "Steel Helper","SalaryBasis" : "Weekly","FixedSalary" : "175.00"}, {"Emp_Id" : "15","Identity_No" : "","Emp_Name" : "Karthik","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Fixer","Desig_Description" : "Wood Fixer","SalaryBasis" : "Weekly","FixedSalary" : "195.00"}, {"Emp_Id" : "16","Identity_No" : "","Emp_Name" : "Bala","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Fixer","Desig_Description" : "Wood Fixer","SalaryBasis" : "Weekly","FixedSalary" : "185.00"}, {"Emp_Id" : "17","Identity_No" : "","Emp_Name" : "Tamil arasi","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Helper","Desig_Description" : "Wood Helper","SalaryBasis" : "Weekly","FixedSalary" : "185.00"}, {"Emp_Id" : "18","Identity_No" : "","Emp_Name" : "Perumal","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Cook","Desig_Description" : "Cook","SalaryBasis" : "Weekly","FixedSalary" : "105.00"}, {"Emp_Id" : "19","Identity_No" : "","Emp_Name" : "Andiappan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Watchman","Desig_Description" : "Watchman","SalaryBasis" : "Weekly","FixedSalary" : "150.00"} ] } And as of now my result looks like this, http://img401.imageshack.us/img401/2500/yuidtsum.jpg I have used jQuery for this: var jsonObj = JSON.parse(HfJsonValue); for (var i = jsonObj.Table.length - 1; i >= 0; i--) { var employee = jsonObj.Table[i]; $('<div class="resultsdiv"><br /><span class="resultName">' + employee.Emp_Name + '</span><span class="resultfields" style="padding-left:100px;">Category&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.Desig_Name + '</span><br /><br /><span id="SalaryBasis" class="resultfields">Salary Basis&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.SalaryBasis + '</span><span class="resultfields" style="padding-left:25px;">Salary&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.FixedSalary + '</span><span style="font-size:110%;font-weight:bolder;padding-left:25px;">Address&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.Address + '</span></div>') .insertAfter('#ResultsDiv'); } My image contains only 6 records as of now. Any suggestions?

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  • What are the reasons why the CPU usage doesn’t go 100% with C# and APM?

    - by Martin
    I have an application which is CPU intensive. When the data is processed on a single thread, the CPU usage goes to 100% for many minutes. So the performance of the application appears to be bound by the CPU. I have multithreaded the logic of the application, which result in an increase of the overall performance. However, the CPU usage hardly goes above 30%-50%. I would expect the CPU (and the many cores) to go to 100% since I process many set of data at the same time. Below is a simplified example of the logic I use to start the threads. When I run this example, the CPU goes to 100% (on an 8/16 cores machine). However, my application which uses the same pattern doesn’t. public class DataExecutionContext { public int Counter { get; set; } // Arrays of data } static void Main(string[] args) { // Load data from the database into the context var contexts = new List<DataExecutionContext>(100); for (int i = 0; i < 100; i++) { contexts.Add(new DataExecutionContext()); } // Data loaded. Start to process. var latch = new CountdownEvent(contexts.Count); var processData = new Action<DataExecutionContext>(c => { // The thread doesn't access data from a DB, file, // network, etc. It reads and write data in RAM only // (in its context). for (int i = 0; i < 100000000; i++) c.Counter++; }); foreach (var context in contexts) { processData.BeginInvoke(context, new AsyncCallback(ar => { latch.Signal(); }), null); } latch.Wait(); } I have reduced the number of locks to the strict minimum (only the latch is locking). The best way I found was to create a context in which a thread can read/write in memory. Contexts are not shared among other threads. The threads can’t access the database, files or network. In other words, I profiled my application and I didn’t find any bottleneck. Why the CPU usage of my application doesn’t go about 50%? Is it the pattern I use? Should I create my own thread instead of using the .Net thread pool? Is there any gotchas? Is there any tool that you could recommend me to find my issue? Thanks!

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  • mysql never releases memory

    - by Ishu
    I have a production server clocking about 4 million page views per month. The server has got 8GB of RAM and mysql acts as a database. I am facing problems in handling mysql to take this load. I need to restart mysql twice a day to handle this thing. The problem with mysql is that it starts with some particular occupation, the memory consumed by mysql keeps on increasing untill it reaches the maximum it can consume and then mysql stops responding slowly or does not respond at all, which freezes the server. All my tables are indexed properly and there are no long queries. I need some one to help on how to go about debugging what to do here. All my tables are myisam. I have tried configuring the parameters key_buffer etc but to no rescue. Any sort of help is greatly appreciated. Here are some parameters which may help. mysql --version mysql Ver 14.12 Distrib 5.0.77, for redhat-linux-gnu (i686) using readline 5.1 mysql> show variables; +---------------------------------+------------------------------------------------------------+ | Variable_name | Value | +---------------------------------+------------------------------------------------------------+ | auto_increment_increment | 1 | | auto_increment_offset | 1 | | automatic_sp_privileges | ON | | back_log | 50 | | basedir | /usr/ | | bdb_cache_size | 8384512 | | bdb_home | /var/lib/mysql/ | | bdb_log_buffer_size | 262144 | | bdb_logdir | | | bdb_max_lock | 10000 | | bdb_shared_data | OFF | | bdb_tmpdir | /tmp/ | | binlog_cache_size | 32768 | | bulk_insert_buffer_size | 8388608 | | character_set_client | latin1 | | character_set_connection | latin1 | | character_set_database | latin1 | | character_set_filesystem | binary | | character_set_results | latin1 | | character_set_server | latin1 | | character_set_system | utf8 | | character_sets_dir | /usr/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 | 10 | | datadir | /var/lib/mysql/ | | 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 | | keep_files_on_create | OFF | | engine_condition_pushdown | OFF | | expire_logs_days | 0 | | flush | OFF | | flush_time | 0 | | ft_boolean_syntax | + -><()~*:""&| | | 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 | NO | | have_bdb | YES | | have_blackhole_engine | NO | | have_compress | YES | | have_crypt | YES | | have_csv | NO | | have_dynamic_loading | YES | | have_example_engine | NO | | have_federated_engine | NO | | have_geometry | YES | | have_innodb | YES | | have_isam | NO | | have_merge_engine | YES | | have_ndbcluster | NO | | have_openssl | DISABLED | | have_ssl | DISABLED | | have_query_cache | YES | | have_raid | NO | | have_rtree_keys | YES | | have_symlink | YES | | | init_connect | | | init_file | | | init_slave | | | interactive_timeout | 28800 | | join_buffer_size | 131072 | | key_buffer_size | 2621440000 | | key_cache_age_threshold | 300 | | key_cache_block_size | 1024 | | key_cache_division_limit | 100 | | language | /usr/share/mysql/english/ | | large_files_support | ON | | large_page_size | 0 | | large_pages | OFF | | lc_time_names | en_US | | license | GPL | | local_infile | ON | | locked_in_memory | OFF | | log | OFF | | log_bin | ON | | log_bin_trust_function_creators | OFF | | log_error | | | log_queries_not_using_indexes | OFF | | log_slave_updates | OFF | | log_slow_queries | ON | | log_warnings | 1 | | long_query_time | 8 | | low_priority_updates | OFF | | lower_case_file_system | OFF | | lower_case_table_names | 0 | | max_allowed_packet | 8388608 | | max_binlog_cache_size | 4294963200 | | max_binlog_size | 1073741824 | | max_connect_errors | 10 | | max_connections | 400 | | max_delayed_threads | 20 | | max_error_count | 64 | | max_heap_table_size | 16777216 | | max_insert_delayed_threads | 20 | | max_join_size | 4294967295 | | max_length_for_sort_data | 1024 | | max_prepared_stmt_count | 16382 | | max_relay_log_size | 0 | | max_seeks_for_key | 4294967295 | | max_sort_length | 1024 | | max_sp_recursion_depth | 0 | | max_tmp_tables | 32 | | max_user_connections | 0 | | max_write_lock_count | 4294967295 | | multi_range_count | 256 | | myisam_data_pointer_size | 6 | | myisam_max_sort_file_size | 2146435072 | | myisam_recover_options | OFF | | myisam_repair_threads | 1 | | myisam_sort_buffer_size | 16777216 | | 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 | 2000 | | optimizer_prune_level | 1 | | optimizer_search_depth | 62 | | pid_file | /var/run/mysqld/mysqld.pid | | plugin_dir | | | port | 3306 | | preload_buffer_size | 32768 | | profiling | OFF | | profiling_history_size | 15 | | protocol_version | 10 | | query_alloc_block_size | 8192 | | query_cache_limit | 1048576 | | query_cache_min_res_unit | 4096 | | query_cache_size | 134217728 | | query_cache_type | ON | | query_cache_wlock_invalidate | OFF | | query_prealloc_size | 8192 | | range_alloc_block_size | 4096 | | read_buffer_size | 2097152 | | read_only | OFF | | read_rnd_buffer_size | 8388608 | | relay_log | | | relay_log_index | | | relay_log_info_file | relay-log.info | | relay_log_purge | ON | | relay_log_space_limit | 0 | | rpl_recovery_rank | 0 | | secure_auth | OFF | | secure_file_priv | | | server_id | 1 | | 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 | /var/lib/mysql/mysql.sock | | sort_buffer_size | 2097152 | | sql_big_selects | ON | | sql_mode | | | sql_notes | ON | | sql_warnings | OFF | | ssl_ca | | | ssl_capath | | | ssl_cert | | | ssl_cipher | | | ssl_key | | | storage_engine | MyISAM | | sync_binlog | 0 | | sync_frm | ON | | system_time_zone | CST | | table_cache | 256 | | table_lock_wait_timeout | 50 | | table_type | MyISAM | | thread_cache_size | 8 | | thread_stack | 196608 | | time_format | %H:%i:%s | | time_zone | SYSTEM | | timed_mutexes | OFF | | tmp_table_size | 33554432 | | tmpdir | /tmp/ | | transaction_alloc_block_size | 8192 | | transaction_prealloc_size | 4096 | | tx_isolation | REPEATABLE-READ | | updatable_views_with_limit | YES | | version | 5.0.77-log | | version_bdb | Sleepycat Software: Berkeley DB 4.1.24: (January 29, 2009) | | version_comment | Source distribution | | version_compile_machine | i686 | | version_compile_os | redhat-linux-gnu | | wait_timeout | 28800 | +---------------------------------+------------------------------------------------------------+

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  • Team Foundation Server Setup/Access

    - by Angel Brighteyes
    What I need: A TFS 2010 Setup that allows 2 application developers to access the TFS from remote locations. How it is setup: Server 2008 Standard 2g Ram 300g HD space SharePoint Server 2007, using SQL Server 2005 SQL Server 2008 Standard Team Foundation Server 2010 IIS 7 Sharepoint Bindings: TFS.DynAccount.Me:80; TFS:80 TFS Bindings: TFS.DynAccount.Me:8080; TFS:8080 Using DynDNS service to account for the dynamic ip address being used, this is a requirement for the moment until I can get a better isp package. Access using Local Accounts Server is not setup on a domain, or as a domain. Consequently I did not setup AD services. Problem: When logged into TFS using my credentials TFS\AdminUser through the DynDNS account TFS.DynAccount.Me I recieve the 'Red X of Death' on the Documents and Reports folder. When logged into the TFS through the local peer to peer network using the same credentials TFS\AdminUser I do not receive the 'Red X of Death' problem. Further Troubleshooting: When users 'Right Click' the 'TeamProject1' Click 'Show Project Portal' it tries to take them to http://TFS:8080 instead of http://TFS.DynAccount.Me:8080, which doing further research I am assuming that it is because team foundation server was setup with a local name of TFS instead of 'TFS.DynAccount.Me' as specified here in Visual Studio Magazines: The Red X of Death. Users can Access the Team Portal for SharePoint via http://TFS.DynAccount.Me/TeamCollection/TeamProject so it is not like we are dead in the water or anything. However, as most employees/staff are prone to do, they have expressed a great distaste for having to do it this way and just be patient until the current project is finished since we are under a very strict deadline. Is there a way to set this up differently, or change some settings someplace, reinstall it, point a CName record for our domain website to the DynAccount (e.g. TFS.OurDomain.com points to TFS.DynAccount.Me, which consequently does allow access to the http site without issues), or something. I really don't feel like after all the time and effort I have spent into, first the cost, second the bloody install, third learning SharePoint well enough, fourth the hours into days spent on this, fifth more troubleshooting, sixth employee headaches to just let it lay where it is at. I figure in my spare/off time I would keep trying to get this to work. So I really appreciate any help any one can give me. I know this is probably something really stupid simple that I will 'Face Palm' over, but at the moment the stress and frustration just has me beat. Thank you again, this community has always been a great help.

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  • Problem in linking an nasm code

    - by Stefano
    I'm using a computer with an Intel Core 2 CPU and 2GB of RAM. The SO is Ubuntu 9.04. When I try to compile this code: ;programma per la simulazione di un terminale su PC, ottenuto utilizzando l'8250 ;in condizione di loopback , cioè Tx=Rx section .code64 section .data TXDATA EQU 03F8H ;TRASMETTITORE RXDATA EQU 03F8H ;RICEVITORE BAUDLSB EQU 03F8H ;DIVISORE DI BAUD RATE IN LSB BAUDMSB EQU 03F9H ;DIVISORE DI BAUD RATE IN MSB INTENABLE EQU 03F9H ;REGISTRO DI ABILITAZIONE DELL'INTERRUZIONE INTIDENTIF EQU 03FAH ;REGISTRO DI IDENTIFICAZIONE DELL'INTERRUZIONE LINECTRL EQU 03FBH ;REGISTRO DI CONTROLLO DELLA LINEA MODEMCTRL EQU 03FCH ;REGISTRO DI CONTROLLO DEL MODEM LINESTATUS EQU 03FDH ;REGISTRO DI STATO DELLA LINEA MODEMSTATUS EQU 03FEH ;REGISTRO DI STATO DEL MODEM BAUDRATEDIV DW 0060H ;DIVISOR: LOW=60, HIGH=00 -BAUD =9600 COUNTERCHAR DB 0 ;CHARACTER COUNTER ;DW 256 DUP (?) section .text global _start _start: ;PROGRAMMAZIONE 8250 MOV DX,LINECTRL MOV AL,80H ;BIT 7=1 PER INDIRIZZARE IL BAUD RATE OUT DX,AL MOV DX,BAUDLSB MOV AX,BAUDRATEDIV ;DEFINISCO FATTORE DI DIVISIONE OUT DX,AL MOV DX,BAUDMSB MOV AL,AH OUT DX,AL ;MSB MOV DX,LINECTRL MOV AL,00000011B ;8 BIT DATO, 1 STOP, PARITA' NO OUT DX,AL MOV DX,MODEMCTRL MOV AL,00010011B ;BIT 4=0 PER NO LOOPBACK OUT DX,AL MOV DX,INTENABLE XOR AL,AL ;DISABILITO TUTTI GLI INTERRUPTS OUT DX,AL CICLO: MOV DX,LINESTATUS IN AL,DX ;LEGGO IL REGISTRO DI STATO DELLA LINEA TEST AL,00011110B ;VERIFICO GLI ERRORI (4 TIPI) JNE ERRORI TEST AL,01H ;VERIFICO Rx PRONTO JNE LEGGOCHAR TEST AL,20H ;VERIFICO Tx VUOTO JE CICLO ;SE SI ARRIVA A QUESTO PUNTO ALLORA L'8250 è PRONTO PER TRASMETTERE UN NUOVO CARATTERE MOV AH,1 INT 80H JE CICLO ;SE SI ARRIVA A QUESTO PUNTO SIGNIFICA CHE ESISTE UN CARATTERE DA TASTIERA MOV AH,0 INT 80H ;Al CONTIENE IL CARATTERE DELLA TASTIERA MOV DX,3F8H OUT DX,AL JMP CICLO LEGGOCHAR: MOV AL,[COUNTERCHAR] INC AL CMP AL,15 JE FINE MOV [COUNTERCHAR],AL MOV DX,TXDATA IN AL,DX ;AL CONTIENE IL CARATTERE RICEVUTO AND AL,7FH ;POICHè VI SONO 7 BIT DI DATO ;VISUALIZZAZIONE DEL CARATTERE MOV BX,0 MOV AH,14 INT 80H POP AX CMP AL,0DH ;CONTROLLO SE RETURN JNE CICLO ;CAMBIO RIGA DI VISUALIZZAZIONE MOV AL,0AH MOV BX,0 MOV AH,14 ;INT 10H INT 80H JMP CICLO ;GESTIONE ERRORI ERRORI: MOV DX,3F8H IN AL,DX MOV AL,'?' MOV BX,0 MOV AH,14 INT 80H JMP CICLO FINE: XOR AH,AH MOV AL,03 INT 80H When I compile this code "NASM -f bin UARTLOOP.asm", the compiler can create the UARTLOOP.o file without any error. When I try to link the .o file with "ld UARTLOOP.o" it tells: UARTLOOP.o: In function `_start': UARTLOOP.asm:(.text+0xd): relocation truncated to fit: R_X86_64_16 against `.data' Have u got some ideas to solve this problem? Thx =)

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  • Paging Through Records(json data) Using jQuery...

    - by Pandiya Chendur
    I have a JSON result that contains numerous records. I'd like to show the first five records in one page and create pager links which have to move to that page with five record so on. I don't want the page to refresh which is why I'm hoping a combination of JavaScript and jQuery... My json Data looks like this... {"Table" : [{"Emp_Id" : "3","Identity_No" : "","Emp_Name" : "Jerome","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Supervisior","Desig_Description" : "Supervisior of the Construction","SalaryBasis" : "Monthly","FixedSalary" : "25000.00"},{"Emp_Id" : "4","Identity_No" : "","Emp_Name" : "Mohan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Acc ","Desig_Description" : "Accountant","SalaryBasis" : "Monthly","FixedSalary" : "200.00"},{"Emp_Id" : "5","Identity_No" : "","Emp_Name" : "Murugan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "150.00"},{"Emp_Id" : "6","Identity_No" : "","Emp_Name" : "Ram","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "120.00"},{"Emp_Id" : "7","Identity_No" : "","Emp_Name" : "Raja","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "135.00"},{"Emp_Id" : "8","Identity_No" : "","Emp_Name" : "Raja kumar","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason Helper","Desig_Description" : "Mason Helper","SalaryBasis" : "Weekly","FixedSalary" : "105.00"},{"Emp_Id" : "9","Identity_No" : "","Emp_Name" : "Lakshmi","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason Helper","Desig_Description" : "Mason Helper","SalaryBasis" : "Weekly","FixedSalary" : "100.00"},{"Emp_Id" : "10","Identity_No" : "","Emp_Name" : "Palani","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Carpenter","Desig_Description" : "Carpenter","SalaryBasis" : "Weekly","FixedSalary" : "200.00"},{"Emp_Id" : "11","Identity_No" : "","Emp_Name" : "Annamalai","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Carpenter","Desig_Description" : "Carpenter","SalaryBasis" : "Weekly","FixedSalary" : "220.00"},{"Emp_Id" : "12","Identity_No" : "","Emp_Name" : "David","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Fixer","Desig_Description" : "Steel Fixer","SalaryBasis" : "Weekly","FixedSalary" : "220.00"},{"Emp_Id" : "13","Identity_No" : "","Emp_Name" : "Chandru","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Fixer","Desig_Description" : "Steel Fixer","SalaryBasis" : "Weekly","FixedSalary" : "220.00"},{"Emp_Id" : "14","Identity_No" : "","Emp_Name" : "Mani","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Helper","Desig_Description" : "Steel Helper","SalaryBasis" : "Weekly","FixedSalary" : "175.00"},{"Emp_Id" : "15","Identity_No" : "","Emp_Name" : "Karthik","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Fixer","Desig_Description" : "Wood Fixer","SalaryBasis" : "Weekly","FixedSalary" : "195.00"},{"Emp_Id" : "16","Identity_No" : "","Emp_Name" : "Bala","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Fixer","Desig_Description" : "Wood Fixer","SalaryBasis" : "Weekly","FixedSalary" : "185.00"},{"Emp_Id" : "17","Identity_No" : "","Emp_Name" : "Tamil arasi","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Helper","Desig_Description" : "Wood Helper","SalaryBasis" : "Weekly","FixedSalary" : "185.00"},{"Emp_Id" : "18","Identity_No" : "","Emp_Name" : "Perumal","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Cook","Desig_Description" : "Cook","SalaryBasis" : "Weekly","FixedSalary" : "105.00"},{"Emp_Id" : "19","Identity_No" : "","Emp_Name" : "Andiappan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Watchman","Desig_Description" : "Watchman","SalaryBasis" : "Weekly","FixedSalary" : "150.00"}]} And as of now my result looks like this, http://img401.imageshack.us/img401/2500/yuidtsum.jpg I have used jquery for this, var jsonObj = JSON.parse(HfJsonValue); for (var i = jsonObj.Table.length - 1; i >= 0; i--) { var employee = jsonObj.Table[i]; $('<div class="resultsdiv"><br /><span class="resultName">' + employee.Emp_Name + '</span><span class="resultfields" style="padding-left:100px;">Category&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.Desig_Name + '</span><br /><br /><span id="SalaryBasis" class="resultfields">Salary Basis&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.SalaryBasis + '</span><span class="resultfields" style="padding-left:25px;">Salary&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.FixedSalary + '</span><span style="font-size:110%;font-weight:bolder;padding-left:25px;">Address&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.Address + '</span></div>').insertAfter('#ResultsDiv'); } My image contains only 6 records as of now.. Any suggestions?

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  • Tridion Installation

    - by Kevin Brydon
    I am currently upgrading an installation of Tridion from 5.3 to 2011 starting almost from scratch (aside from migrating the database), brand new virtual servers. I just want to ask for some advice on my current server setup... a sanity check. All servers are running Windows Server 2008. The pages on our website are all classic ASP. Database SQL Server cluster. The 5.3 database has been migrated using the DatabaseManager. This is pretty standard and works well (in test anyway). Content Manager A single server to run the Content Manager and the Publisher. There are around 10 people using it at any one time so not under a particularly heavy load. Content Data Store Filesystem located somewhere on the network. One directory for live and one for staging. Content Delivery Two servers (cd1 and cd2) each with the the following server roles installed. cd1 writes to a filesystem content data store for the live website, cd2 writes to the content data store for the staging website. Presentation Two public facing web servers (web1 and web2) serving both the live and staging websites. The web servers read directly from the content data store as its a filesystem. Each of the web servers have the Content Delivery Server installed so that I can use dynamic linking (and other features?). I've so far set up everything but the web servers. Any thoughts? edit Thanks to Ram S who linked me to a decent walkthrough, upvoted. I suppose I should have posed some questions as I didn't really ask a question. I guess I'm a little confused over the content deliver aspect. I have the Content Delivery split in two separate parts. cd1 and cd2 do the work of shifting information from the Content Manager to the Staging/Live web directories. web1 and web2 should do the work of serving the web pages to the outside world and will interact with the content data store (file system). Is this a correct setup? I need some parts of the Content Delivery on my web servers right? Theoretically I could get rid of the cd1 and cd2 servers and use web1 and web2 to do the deployment right? But I suspect this will put the web servers under unnecessary strain should there ever be a big publish. I've been reading the 2011 Installation Manual, Content Delivery section, and I'm finding it quite hard to get my head around!

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  • Good jquery pagination plugin to use with json Data...

    - by bala3569
    I am looking for a good jquery pagination plugin to use in my aspx page.... I have the following parameters currentpage,pagesize,TotalRecords,NumberofPages... I would like my plugin to same as stackoverflow paging .... EDIT: It should paginate through json data.... similar to this I use my json data and iterating with jquery var jsonObj = jQuery.parseJSON(HfJsonValue); for (var i = jsonObj.Table.length - 1; i >= 0; i--) { var employee = jsonObj.Table[i]; $('<div class="resultsdiv"><br /><span class="resultName">' + employee.Emp_Name + '</span><span class="resultfields" style="padding-left:100px;">Category&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.Desig_Name + '</span><br /><br /><span id="SalaryBasis" class="resultfields">Salary Basis&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.SalaryBasis + '</span><span class="resultfields" style="padding-left:25px;">Salary&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.FixedSalary + '</span><span style="font-size:110%;font-weight:bolder;padding-left:25px;">Address&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.Address + '</span></div>').insertAfter('#ResultsDiv'); } There are 25 divs in my page as a result i want to show first five divs in page 1 and so on... Any suggestion... My HfJsonValue contains the following json data {"Table" : [{"Emp_Id" : "3","Identity_No" : "","Emp_Name" : "Jerome","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Supervisior","Desig_Description" : "Supervisior of the Construction","SalaryBasis" : "Monthly","FixedSalary" : "25000.00"},{"Emp_Id" : "4","Identity_No" : "","Emp_Name" : "Mohan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Acc ","Desig_Description" : "Accountant","SalaryBasis" : "Monthly","FixedSalary" : "200.00"},{"Emp_Id" : "5","Identity_No" : "","Emp_Name" : "Murugan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "150.00"},{"Emp_Id" : "6","Identity_No" : "","Emp_Name" : "Ram","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "120.00"},{"Emp_Id" : "7","Identity_No" : "","Emp_Name" : "Raja","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "135.00"},{"Emp_Id" : "8","Identity_No" : "","Emp_Name" : "Raja kumar","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason Helper","Desig_Description" : "Mason Helper","SalaryBasis" : "Weekly","FixedSalary" : "105.00"},{"Emp_Id" : "9","Identity_No" : "","Emp_Name" : "Lakshmi","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason Helper","Desig_Description" : "Mason Helper","SalaryBasis" : "Weekly","FixedSalary" : "100.00"},{"Emp_Id" : "10","Identity_No" : "","Emp_Name" : "Palani","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Carpenter","Desig_Description" : "Carpenter","SalaryBasis" : "Weekly","FixedSalary" : "200.00"},{"Emp_Id" : "11","Identity_No" : "","Emp_Name" : "Annamalai","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Carpenter","Desig_Description" : "Carpenter","SalaryBasis" : "Weekly","FixedSalary" : "220.00"},{"Emp_Id" : "12","Identity_No" : "","Emp_Name" : "David","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Fixer","Desig_Description" : "Steel Fixer","SalaryBasis" : "Weekly","FixedSalary" : "220.00"},{"Emp_Id" : "13","Identity_No" : "","Emp_Name" : "Chandru","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Fixer","Desig_Description" : "Steel Fixer","SalaryBasis" : "Weekly","FixedSalary" : "220.00"},{"Emp_Id" : "14","Identity_No" : "","Emp_Name" : "Mani","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Helper","Desig_Description" : "Steel Helper","SalaryBasis" : "Weekly","FixedSalary" : "175.00"},{"Emp_Id" : "15","Identity_No" : "","Emp_Name" : "Karthik","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Fixer","Desig_Description" : "Wood Fixer","SalaryBasis" : "Weekly","FixedSalary" : "195.00"},{"Emp_Id" : "16","Identity_No" : "","Emp_Name" : "Bala","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Fixer","Desig_Description" : "Wood Fixer","SalaryBasis" : "Weekly","FixedSalary" : "185.00"},{"Emp_Id" : "17","Identity_No" : "","Emp_Name" : "Tamil arasi","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Helper","Desig_Description" : "Wood Helper","SalaryBasis" : "Weekly","FixedSalary" : "185.00"},{"Emp_Id" : "18","Identity_No" : "","Emp_Name" : "Perumal","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Cook","Desig_Description" : "Cook","SalaryBasis" : "Weekly","FixedSalary" : "105.00"},{"Emp_Id" : "19","Identity_No" : "","Emp_Name" : "Andiappan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Watchman","Desig_Description" : "Watchman","SalaryBasis" : "Weekly","FixedSalary" : "150.00"}]}

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  • Fulltext search for django : Mysql not so bad ? (vs sphinx, xapian)

    - by Eric
    I am studying fulltext search engines for django. It must be simple to install, fast indexing, fast index update, not blocking while indexing, fast search. After reading many web pages, I put in short list : Mysql MYISAM fulltext, djapian/python-xapian, and django-sphinx I did not choose lucene because it seems complex, nor haystack as it has less features than djapian/django-sphinx (like fields weighting). Then I made some benchmarks, to do so, I collected many free books on the net to generate a database table with 1 485 000 records (id,title,body), each record is about 600 bytes long. From the database, I also generated a list of 100 000 existing words and shuffled them to create a search list. For the tests, I made 2 runs on my laptop (4Go RAM, Dual core 2.0Ghz): the first one, just after a server reboot to clear all caches, the second is done juste after in order to test how good are cached results. Here are the "home made" benchmark results : 1485000 records with Title (150 bytes) and body (450 bytes) Mysql 5.0.75/Ubuntu 9.04 Fulltext : ========================================================================== Full indexing : 7m14.146s 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:11.553524 next run : 0:00:00.168508 Mysql 5.5.4 m3/Ubuntu 9.04 Fulltext : ========================================================================== Full indexing : 6m08.154s 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:11.553524 next run : 0:00:00.168508 1 thread, 100000 searchs with single word randomly taken from database : First run : 9m09s next run : 5m38s 1 thread, 10000 random strings (random strings should not be found in database) : just after the 100000 search test : 0:00:15.007353 1 thread, boolean search : 1000 x (+word1 +word2) First run : 0:00:21.205404 next run : 0:00:00.145098 Djapian Fulltext : ========================================================================== Full indexing : 84m7.601s 1 thread, 1000 searchs with single word randomly taken from database with prefetch : First run : 0:02:28.085680 next run : 0:00:14.300236 python-xapian Fulltext : ========================================================================== 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:26.402084 next run : 0:00:00.695092 django-sphinx Fulltext : ========================================================================== Full indexing : 1m25.957s 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:30.073001 next run : 0:00:05.203294 1 thread, 100000 searchs with single word randomly taken from database : First run : 12m48s next run : 9m45s 1 thread, 10000 random strings (random strings should not be found in database) : just after the 100000 search test : 0:00:23.535319 1 thread, boolean search : 1000 x (word1 word2) First run : 0:00:20.856486 next run : 0:00:03.005416 As you can see, Mysql is not so bad at all for fulltext search. In addition, its query cache is very efficient. Mysql seems to me a good choice as there is nothing to install (I need just to write a small script to synchronize an Innodb production table to a MyISAM search table) and as I do not really need advanced search feature like stemming etc... Here is the question : What do you think about Mysql fulltext search engine vs sphinx and xapian ?

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  • How to use jquery to paginate json data?

    - by Pandiya Chendur
    My json Data looks like this {"Table" : [{"Emp_Id" : "3","Identity_No" : "","Emp_Name" : "Jerome","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Supervisior","Desig_Description" : "Supervisior of the Construction","SalaryBasis" : "Monthly","FixedSalary" : "25000.00"},{"Emp_Id" : "4","Identity_No" : "","Emp_Name" : "Mohan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Acc ","Desig_Description" : "Accountant","SalaryBasis" : "Monthly","FixedSalary" : "200.00"},{"Emp_Id" : "5","Identity_No" : "","Emp_Name" : "Murugan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "150.00"},{"Emp_Id" : "6","Identity_No" : "","Emp_Name" : "Ram","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "120.00"},{"Emp_Id" : "7","Identity_No" : "","Emp_Name" : "Raja","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason","Desig_Description" : "Mason","SalaryBasis" : "Weekly","FixedSalary" : "135.00"},{"Emp_Id" : "8","Identity_No" : "","Emp_Name" : "Raja kumar","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason Helper","Desig_Description" : "Mason Helper","SalaryBasis" : "Weekly","FixedSalary" : "105.00"},{"Emp_Id" : "9","Identity_No" : "","Emp_Name" : "Lakshmi","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Mason Helper","Desig_Description" : "Mason Helper","SalaryBasis" : "Weekly","FixedSalary" : "100.00"},{"Emp_Id" : "10","Identity_No" : "","Emp_Name" : "Palani","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Carpenter","Desig_Description" : "Carpenter","SalaryBasis" : "Weekly","FixedSalary" : "200.00"},{"Emp_Id" : "11","Identity_No" : "","Emp_Name" : "Annamalai","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Carpenter","Desig_Description" : "Carpenter","SalaryBasis" : "Weekly","FixedSalary" : "220.00"},{"Emp_Id" : "12","Identity_No" : "","Emp_Name" : "David","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Fixer","Desig_Description" : "Steel Fixer","SalaryBasis" : "Weekly","FixedSalary" : "220.00"},{"Emp_Id" : "13","Identity_No" : "","Emp_Name" : "Chandru","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Fixer","Desig_Description" : "Steel Fixer","SalaryBasis" : "Weekly","FixedSalary" : "220.00"},{"Emp_Id" : "14","Identity_No" : "","Emp_Name" : "Mani","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Steel Helper","Desig_Description" : "Steel Helper","SalaryBasis" : "Weekly","FixedSalary" : "175.00"},{"Emp_Id" : "15","Identity_No" : "","Emp_Name" : "Karthik","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Fixer","Desig_Description" : "Wood Fixer","SalaryBasis" : "Weekly","FixedSalary" : "195.00"},{"Emp_Id" : "16","Identity_No" : "","Emp_Name" : "Bala","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Fixer","Desig_Description" : "Wood Fixer","SalaryBasis" : "Weekly","FixedSalary" : "185.00"},{"Emp_Id" : "17","Identity_No" : "","Emp_Name" : "Tamil arasi","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Wood Helper","Desig_Description" : "Wood Helper","SalaryBasis" : "Weekly","FixedSalary" : "185.00"},{"Emp_Id" : "18","Identity_No" : "","Emp_Name" : "Perumal","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Cook","Desig_Description" : "Cook","SalaryBasis" : "Weekly","FixedSalary" : "105.00"},{"Emp_Id" : "19","Identity_No" : "","Emp_Name" : "Andiappan","Address" : "Madurai","Date_Of_Birth" : "","Desig_Name" : "Watchman","Desig_Description" : "Watchman","SalaryBasis" : "Weekly","FixedSalary" : "150.00"}]} There are 22 records in this json... How to paginate this json data 5 per page using jquery? EDIT: The above image is my summary view of employee list iterated using jquery var jsonObj = JSON.parse(HfJsonValue); for (var i = jsonObj.Table.length - 1; i >= 0; i--) { var employee = jsonObj.Table[i]; $('<div class="resultsdiv"><br /><span class="resultName">' + employee.Emp_Name + '</span><span class="resultfields" style="padding-left:100px;">Category&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.Desig_Name + '</span><br /><br /><span id="SalaryBasis" class="resultfields">Salary Basis&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.SalaryBasis + '</span><span class="resultfields" style="padding-left:25px;">Salary&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.FixedSalary + '</span><span style="font-size:110%;font-weight:bolder;padding-left:25px;">Address&nbsp;:</span>&nbsp;<span class="resultfieldvalues">' + employee.Address + '</span></div>').insertAfter('#ResultsDiv'); } I get 22 records now it may grow how to paginate json date by using jquery pagination.. Any suggestion...

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