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  • Problems setting up VLC Sever/client streaming

    - by Ayos
    I'm trying to set up a Linux machine as the server and a Windows XP machine as the client. Both machines are connected to the same local network via a Wi-Fi router. I setup the stream with the following properties : http stream port 8080 play locally And not much else. No firewall on the windows client(Windows firewall is disabled) When I try to open network stream via the client machine(Using VLC or Windows Media Player) I get the following errors: Media Player error code : 0xC00D11B3: Encountered a network Problem. VLC Console: main warning: connection timed out access_mms error: cannot connect to 192.168.1.3:8080 main debug: no access module matching "http" could be loaded main debug: TIMER module_need() : 12625.810 ms - Total 12625.810 ms / 1 intvls (Avg 12625.809 ms) main error: open of `http://192.168.1.3:8080' failed main debug: dead input main debug: repeating item main debug: starting playback of the new playlist item main debug: resyncing on http://192.168.1.3:8080 main debug: http://192.168.1.3:8080 is at 0 main debug: creating new input thread main debug: Creating an input for 'http://192.168.1.3:8080' main debug: using timeshift granularity of 50 MiB, in path 'C:\DOCUME~1\Accer\LOCALS~1\Temp' main debug: `http://192.168.1.3:8080' gives access `http' demux `' path `192.168.1.3:8080' main debug: creating demux: access='http' demux='' location='192.168.1.3:8080' file='\\192.168.1.3:8080' main debug: looking for access_demux module: 0 candidates main debug: no access_demux module matched "http" main debug: TIMER module_need() : 0.461 ms - Total 0.461 ms / 1 intvls (Avg 0.461 ms) main debug: creating access 'http' location='192.168.1.3:8080', path='\\192.168.1.3:8080' main debug: looking for access module: 2 candidates access_http debug: http: server='192.168.1.3' port=8080 file='' main debug: net: connecting to 192.168.1.3 port 8080 qt4 debug: IM: Deleting the input main debug: TIMER input launching for 'http://192.168.1.3:8080' : 13397.979 ms - Total 13397.979 ms / 1 intvls (Avg 13397.978 ms) qt4 debug: IM: Setting an input Need Help. Thanks in advance.

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  • File Folder copy

    - by Dario Dias
    Below is the VBScript code. If the file/s or folder exist I get scripting error, "File already exists". How to fix that? How to create folder only if it does not exist and copy files only that are new or do not exist in source path? How to insert the username (Point 1) after "Welcome" and at (Poin 3) instead of user cancelled? Can the buttons be changed to Copy,Update,Cancel instead of Yes,No,Cancel? (Point 2) The code: Set objFSO = CreateObject("Scripting.FileSystemObject") Set wshShell = WScript.CreateObject( "WScript.Shell" ) strUserName = wshShell.ExpandEnvironmentStrings( "%USERNAME%" ) Message = " Welcome to the AVG Update Module" & vbCR '1* Message = Message & " *****************************" & vbCR & vbCR Message = Message & " Click Yes to Copy Definition Files" & vbCR & vbCR Message = Message & " OR " & vbCR & vbCR Message = Message & " Click No to Update Definition Files." & vbCR & vbCR Message = Message & " Click Cancel (ESC) to Exit." & vbCR & vbCR X = MsgBox(Message, vbYesNoCancel, "AVG Update Module") '2* 'Yes Selected Script If X = 6 then objFSO.FolderExists("E:\Updates") if TRUE then objFSO.CreateFolder ("E:\Updates") objFSO.CopyFile "c:\Docume~1\alluse~1\applic~1\avg8\update\download\*.*", "E:\Updates\" , OverwriteFiles MsgBox "Files Copied Succesfully.", vbInformation, "Copy Success" End If 'No Selected Script If X = 7 then objFSO.FolderExists("Updates") if TRUE then objFSO.CreateFolder("Updates") objFSO.CopyFile "E:\Updates\*.*", "Updates", OverwriteFiles Message = "Files Updated Successfully." & vbCR & vbCR Message = Message & "Click OK to Launch AVG GUI." & vbCR & vbCR Message = Message & "Click Cancel (ESC) to Exit." & vbCR & vbCR Y = MsgBox(Message, vbOKCancel, "Update Success") If Y = 1 then Set WshShell = CreateObject("WScript.Shell") WshShell.Run chr(34) & "C:\Progra~1\avg\avg8\avgui.exe" & Chr(34), 0 Set WshShell = Nothing End if If Y = 3 then WScript.Quit End IF 'Cancel Selection Script If X = 2 then MsgBox "No Files have been Copied/Updated.", vbExclamation, "User Cancelled" '3* End if

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  • Calculating multiple column average in SQLite3

    - by Benjamin Oakes
    I need to average some values in a row-wise fashion, rather than a column-wise fashion. (If I were doing a column-wise average, I could just use avg()). My specific application of this requires me ignore NULLs in averaging. It's pretty straightforward logic, but seems awfully difficult to do in SQL. Is there an elegant way of doing my calculation? I'm using SQLite3, for what it's worth. Details If you need more details, here's an illustration: I have a a table with a survey: | q1 | q2 | q3 | ... | q144 | |----|-------|-------|-----|------| | 1 | 3 | 7 | ... | 2 | | 4 | 2 | NULL | ... | 1 | | 5 | NULL | 2 | ... | 3 | (Those are just some example values and simple column names. The valid values are 1 through 7 and NULL.) I need to calculate some averages like so: q7 + q33 + q38 + q40 + ... + q119 / 11 as domain_score_1 q10 + q11 + q34 + q35 + ... + q140 / 13 as domain_score_2 ... q2 + q5 + q13 + q25 + ... + q122 / 12 as domain_score_14 ...but i need to pull out the nulls and average based on the non-nulls. So, for domain_score_1 (which has 11 items), I would need to do: Input: 3, 5, NULL, 7, 2, NULL, 3, 1, 5, NULL, 1 (3 + 5 + 7 + 2 + 3 + 1 + 5 + 1) / (11 - 3) 27 / 8 3.375 A simple algorithm I'm considering is: Input: 3, 5, NULL, 7, 2, NULL, 3, 1, 5, NULL, 1 Coalesce each value to 0 if NULL: 3, 5, 0, 7, 2, 0, 3, 1, 5, 0, 1 Sum: 27 Get the number of non-zeros by converting values 0 to 1 and sum: 3, 5, 0, 7, 2, 0, 3, 1, 5, 0, 1 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1 8 Divide those two numbers 27 / 8 3.375 But that seems like a lot more programming than this should take. Is there an elegant way of doing this that I'm not aware of? Update: Unless I'm misunderstanding something, avg() won't work for this. Example of what I would want to do: select avg(q7, q33, q38, ..., q119) from survey; Output: SQL error near line 3: wrong number of arguments to function avg()

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  • Is typeid of type name always evaluated at compile time in c++ ?

    - by cyril42e
    I wanted to check that typeid is evaluated at compile time when used with a type name (ie typeid(int), typeid(std::string)...). To do so, I repeated in a loop the comparison of two typeid calls, and compiled it with optimizations enabled, in order to see if the compiler simplified the loop (by looking at the execution time which is 1us when it simplifies instead of 160ms when it does not). And I get strange results, because sometimes the compiler simplifies the code, and sometimes it does not. I use g++ (I tried different 4.x versions), and here is the program: #include <iostream> #include <typeinfo> #include <time.h> class DisplayData {}; class RobotDisplay: public DisplayData {}; class SensorDisplay: public DisplayData {}; class RobotQt {}; class SensorQt {}; timespec tp1, tp2; const int n = 1000000000; int main() { int avg = 0; clock_gettime(CLOCK_REALTIME, &tp1); for(int i = 0; i < n; ++i) { // if (typeid(RobotQt) == typeid(RobotDisplay)) // (1) compile time // if (typeid(SensorQt) == typeid(SensorDisplay)) // (2) compile time if (typeid(RobotQt) == typeid(RobotDisplay) || typeid(SensorQt) == typeid(SensorDisplay)) // (3) not compile time ???!!! avg++; else avg--; } clock_gettime(CLOCK_REALTIME, &tp2); std::cout << "time (" << avg << "): " << (tp2.tv_sec-tp1.tv_sec)*1000000000+(tp2.tv_nsec-tp1.tv_nsec) << " ns" << std::endl; } The conditions in which this problem appear are not clear, but: - if there is no inheritance involved, no problem (always compile time) - if I do only one comparison, no problem - the problem only appears only with a disjunction of comparisons if all the terms are false So is there something I didn't get with how typeid works (is it always supposed to be evaluated at compilation time when used with type names?) or may this be a gcc bug in evaluation or optimization? About the context, I tracked down the problem to this very simplified example, but my goal is to use typeid with template types (as partial function template specialization is not possible). Thanks for your help!

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  • how I can convert the string output into data.frame

    - by user2968058
    i have a data set called SIZEDIST$AVG.µm., and i have fitted this data with a weibull curve. now i have generated the quantiles by using the quantile function and now i want to access the output of this function generated at the interval of p=0.01. fwbl<-fitdist(SIZEDIST$AVG.µm., "weibull",start=list(shape=0.8,scale=1)) fwbl quantwbl<-quantile(fwbl,probs=seq(.1,.99,.01)) quantwbl str(quantwbl) using str(quantwbl) i can visualize the output but i cant convert them into data.frame

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  • Super Noob C++ variable help

    - by julian
    Ok, I must preface this by stating that I know so so little about c++ and am hoping someone can just help me out... I have the below code: string GoogleMapControl::CreatePolyLine(RideItem *ride) { std::vector<RideFilePoint> intervalPoints; ostringstream oss; int cp; int intervalTime = 30; // 30 seconds int zone =ride->zoneRange(); if(zone >= 0) { cp = 300; // default cp to 300 watts } else { cp = ride->zones->getCP(zone); } foreach(RideFilePoint* rfp, ride->ride()->dataPoints()) { intervalPoints.push_back(*rfp); if((intervalPoints.back().secs - intervalPoints.front().secs) > intervalTime) { // find the avg power and color code it and create a polyline... AvgPower avgPower = for_each(intervalPoints.begin(), intervalPoints.end(), AvgPower()); // find the color QColor color = GetColor(cp,avgPower); // create the polyline CreateSubPolyLine(intervalPoints,oss,color); intervalPoints.clear(); intervalPoints.push_back(*rfp); } } return oss.str(); } void GoogleMapControl::CreateSubPolyLine(const std::vector<RideFilePoint> &points, std::ostringstream &oss, QColor color) { oss.precision(6); QString colorstr = color.name(); oss.setf(ios::fixed,ios::floatfield); oss << "var polyline = new GPolyline(["; BOOST_FOREACH(RideFilePoint rfp, points) { if (ceil(rfp.lat) != 180 && ceil(rfp.lon) != 180) { oss << "new GLatLng(" << rfp.lat << "," << rfp.lon << ")," << endl; } } oss << "],\"" << colorstr.toStdString() << "\",4);"; oss << "GEvent.addListener(polyline, 'mouseover', function() {" << endl << "var tooltip_text = 'Avg watts:" << avgPower <<" <br> Avg Speed: <br> Color: "<< colorstr.toStdString() <<"';" << endl << "var ss={'weight':8};" << endl << "this.setStrokeStyle(ss);" << endl << "this.overlay = new MapTooltip(this,tooltip_text);" << endl << "map.addOverlay(this.overlay);" << endl << "});" << endl << "GEvent.addListener(polyline, 'mouseout', function() {" << endl << "map.removeOverlay(this.overlay);" << endl << "var ss={'weight':5};" << endl << "this.setStrokeStyle(ss);" << endl << "});" << endl; oss << "map.addOverlay (polyline);" << endl; } And I'm trying to get the avgPower from this part: AvgPower avgPower = for_each(intervalPoints.begin(), intervalPoints.end(), AvgPower()); the first part to cary over to the second part: << "var tooltip_text = 'Avg watts:" << avgPower <<" <br> Avg Speed: <br> Color: "<< colorstr.toStdString() <<"';" << endl But of course I haven't the slightest clue how to do it... anyone feeling generous today? Thanks in advance

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  • MySQL is running VERY slow

    - by user1032531
    I have two servers: a VPS and a laptop. I recently re-built both of them, and MySQL is running about 20 times slower on the laptop. Both servers used to run CentOS 5.8 and I think MySQL 5.1, and the laptop used to do great so I do not think it is the hardware. For the VPS, my provider installed CentOS 6.4, and then I installed MySQL 5.1.69 using yum with the CentOS repo. For the laptop, I installed CentOS 6.4 basic server and then installed MySQL 5.1.69 using yum with the CentOS repo. my.cnf for both servers are identical, and I have shown below. For both servers, I've also included below the output from SHOW VARIABLES; as well as output from sysbench, file system information, and cpu information. I have tried adding skip-name-resolve, but it didn't help. The matrix below shows the SHOW VARIABLES output from both servers which is different. Again, MySQL was installed the same way, so I do not know why it is different, but it is and I think this might be why the laptop is executing MySQL so slowly. Why is the laptop running MySQL slowly, and how do I fix it? Differences between SHOW VARIABLES on both servers +---------------------------+-----------------------+-------------------------+ | Variable | Value-VPS | Value-Laptop | +---------------------------+-----------------------+-------------------------+ | hostname | vps.site1.com | laptop.site2.com | | max_binlog_cache_size | 4294963200 | 18446744073709500000 | | max_seeks_for_key | 4294967295 | 18446744073709500000 | | max_write_lock_count | 4294967295 | 18446744073709500000 | | myisam_max_sort_file_size | 2146435072 | 9223372036853720000 | | myisam_mmap_size | 4294967295 | 18446744073709500000 | | plugin_dir | /usr/lib/mysql/plugin | /usr/lib64/mysql/plugin | | pseudo_thread_id | 7568 | 2 | | system_time_zone | EST | PDT | | thread_stack | 196608 | 262144 | | timestamp | 1372252112 | 1372252046 | | version_compile_machine | i386 | x86_64 | +---------------------------+-----------------------+-------------------------+ my.cnf for both servers [root@server1 ~]# cat /etc/my.cnf [mysqld] datadir=/var/lib/mysql socket=/var/lib/mysql/mysql.sock user=mysql # Disabling symbolic-links is recommended to prevent assorted security risks symbolic-links=0 [mysqld_safe] log-error=/var/log/mysqld.log pid-file=/var/run/mysqld/mysqld.pid innodb_strict_mode=on sql_mode=TRADITIONAL # sql_mode=STRICT_TRANS_TABLES,NO_ZERO_DATE,NO_ZERO_IN_DATE character-set-server=utf8 collation-server=utf8_general_ci log=/var/log/mysqld_all.log [root@server1 ~]# VPS SHOW VARIABLES Info Same as Laptop shown below but changes per above matrix (removed to allow me to be under the 30000 characters as required by ServerFault) Laptop SHOW VARIABLES Info auto_increment_increment 1 auto_increment_offset 1 autocommit ON automatic_sp_privileges ON back_log 50 basedir /usr/ big_tables OFF binlog_cache_size 32768 binlog_direct_non_transactional_updates OFF binlog_format STATEMENT bulk_insert_buffer_size 8388608 character_set_client utf8 character_set_connection utf8 character_set_database latin1 character_set_filesystem binary character_set_results utf8 character_set_server latin1 character_set_system utf8 character_sets_dir /usr/share/mysql/charsets/ collation_connection utf8_general_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 engine_condition_pushdown ON error_count 0 event_scheduler OFF expire_logs_days 0 flush OFF flush_time 0 foreign_key_checks ON ft_boolean_syntax + -><()~*:""&| ft_max_word_len 84 ft_min_word_len 4 ft_query_expansion_limit 20 ft_stopword_file (built-in) general_log OFF general_log_file /var/run/mysqld/mysqld.log group_concat_max_len 1024 have_community_features YES have_compress YES have_crypt YES have_csv YES have_dynamic_loading YES have_geometry YES have_innodb YES have_ndbcluster NO have_openssl DISABLED have_partitioning YES have_query_cache YES have_rtree_keys YES have_ssl DISABLED have_symlink DISABLED hostname server1.site2.com identity 0 ignore_builtin_innodb OFF init_connect init_file init_slave innodb_adaptive_hash_index ON innodb_additional_mem_pool_size 1048576 innodb_autoextend_increment 8 innodb_autoinc_lock_mode 1 innodb_buffer_pool_size 8388608 innodb_checksums ON innodb_commit_concurrency 0 innodb_concurrency_tickets 500 innodb_data_file_path ibdata1:10M:autoextend innodb_data_home_dir 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_buffer_size 1048576 innodb_log_file_size 5242880 innodb_log_files_in_group 2 innodb_log_group_home_dir ./ innodb_max_dirty_pages_pct 90 innodb_max_purge_lag 0 innodb_mirrored_log_groups 1 innodb_open_files 300 innodb_rollback_on_timeout OFF innodb_stats_method nulls_equal innodb_stats_on_metadata ON innodb_support_xa ON innodb_sync_spin_loops 20 innodb_table_locks ON innodb_thread_concurrency 8 innodb_thread_sleep_delay 10000 innodb_use_legacy_cardinality_algorithm ON insert_id 0 interactive_timeout 28800 join_buffer_size 131072 keep_files_on_create OFF key_buffer_size 8384512 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 last_insert_id 0 lc_time_names en_US license GPL local_infile ON locked_in_memory OFF log OFF log_bin OFF log_bin_trust_function_creators OFF log_bin_trust_routine_creators OFF log_error /var/log/mysqld.log log_output FILE log_queries_not_using_indexes OFF log_slave_updates OFF log_slow_queries OFF log_warnings 1 long_query_time 10.000000 low_priority_updates OFF lower_case_file_system OFF lower_case_table_names 0 max_allowed_packet 1048576 max_binlog_cache_size 18446744073709547520 max_binlog_size 1073741824 max_connect_errors 10 max_connections 151 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_long_data_size 1048576 max_prepared_stmt_count 16382 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 min_examined_row_limit 0 multi_range_count 256 myisam_data_pointer_size 6 myisam_max_sort_file_size 9223372036853727232 myisam_mmap_size 18446744073709551615 myisam_recover_options OFF myisam_repair_threads 1 myisam_sort_buffer_size 8388608 myisam_stats_method nulls_unequal myisam_use_mmap OFF net_buffer_length 16384 net_read_timeout 30 net_retry_count 10 net_write_timeout 60 new OFF old OFF old_alter_table OFF old_passwords OFF open_files_limit 1024 optimizer_prune_level 1 optimizer_search_depth 62 optimizer_switch index_merge=on,index_merge_union=on,index_merge_sort_union=on,index_merge_intersection=on pid_file /var/run/mysqld/mysqld.pid plugin_dir /usr/lib64/mysql/plugin port 3306 preload_buffer_size 32768 profiling OFF profiling_history_size 15 protocol_version 10 pseudo_thread_id 3 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 rand_seed1 rand_seed2 range_alloc_block_size 4096 read_buffer_size 131072 read_only OFF read_rnd_buffer_size 262144 relay_log relay_log_index relay_log_info_file relay-log.info relay_log_purge ON relay_log_space_limit 0 report_host report_password report_port 3306 report_user rpl_recovery_rank 0 secure_auth OFF secure_file_priv server_id 0 skip_external_locking ON skip_name_resolve OFF skip_networking OFF skip_show_database OFF slave_compressed_protocol OFF slave_exec_mode STRICT slave_load_tmpdir /tmp slave_max_allowed_packet 1073741824 slave_net_timeout 3600 slave_skip_errors OFF slave_transaction_retries 10 slow_launch_time 2 slow_query_log OFF slow_query_log_file /var/run/mysqld/mysqld-slow.log socket /var/lib/mysql/mysql.sock sort_buffer_size 2097144 sql_auto_is_null ON sql_big_selects ON sql_big_tables OFF sql_buffer_result OFF sql_log_bin ON sql_log_off OFF sql_log_update ON sql_low_priority_updates OFF sql_max_join_size 18446744073709551615 sql_mode sql_notes ON sql_quote_show_create ON sql_safe_updates OFF sql_select_limit 18446744073709551615 sql_slave_skip_counter 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 PDT table_definition_cache 256 table_lock_wait_timeout 50 table_open_cache 64 table_type MyISAM thread_cache_size 0 thread_handling one-thread-per-connection thread_stack 262144 time_format %H:%i:%s time_zone SYSTEM timed_mutexes OFF timestamp 1372254399 tmp_table_size 16777216 tmpdir /tmp transaction_alloc_block_size 8192 transaction_prealloc_size 4096 tx_isolation REPEATABLE-READ unique_checks ON updatable_views_with_limit YES version 5.1.69 version_comment Source distribution version_compile_machine x86_64 version_compile_os redhat-linux-gnu wait_timeout 28800 warning_count 0 VPS Sysbench Info [root@vps ~]# cat sysbench.txt sysbench 0.4.12: multi-threaded system evaluation benchmark Running the test with following options: Number of threads: 8 Doing OLTP test. Running mixed OLTP test Doing read-only test Using Special distribution (12 iterations, 1 pct of values are returned in 75 pct cases) Using "BEGIN" for starting transactions Using auto_inc on the id column Threads started! Time limit exceeded, exiting... (last message repeated 7 times) Done. OLTP test statistics: queries performed: read: 1449966 write: 0 other: 207138 total: 1657104 transactions: 103569 (1726.01 per sec.) deadlocks: 0 (0.00 per sec.) read/write requests: 1449966 (24164.08 per sec.) other operations: 207138 (3452.01 per sec.) Test execution summary: total time: 60.0050s total number of events: 103569 total time taken by event execution: 479.1544 per-request statistics: min: 1.98ms avg: 4.63ms max: 330.73ms approx. 95 percentile: 8.26ms Threads fairness: events (avg/stddev): 12946.1250/381.09 execution time (avg/stddev): 59.8943/0.00 [root@vps ~]# Laptop Sysbench Info [root@server1 ~]# cat sysbench.txt sysbench 0.4.12: multi-threaded system evaluation benchmark Running the test with following options: Number of threads: 8 Doing OLTP test. Running mixed OLTP test Doing read-only test Using Special distribution (12 iterations, 1 pct of values are returned in 75 pct cases) Using "BEGIN" for starting transactions Using auto_inc on the id column Threads started! Time limit exceeded, exiting... (last message repeated 7 times) Done. OLTP test statistics: queries performed: read: 634718 write: 0 other: 90674 total: 725392 transactions: 45337 (755.56 per sec.) deadlocks: 0 (0.00 per sec.) read/write requests: 634718 (10577.78 per sec.) other operations: 90674 (1511.11 per sec.) Test execution summary: total time: 60.0048s total number of events: 45337 total time taken by event execution: 479.4912 per-request statistics: min: 2.04ms avg: 10.58ms max: 85.56ms approx. 95 percentile: 19.70ms Threads fairness: events (avg/stddev): 5667.1250/42.18 execution time (avg/stddev): 59.9364/0.00 [root@server1 ~]# VPS File Info [root@vps ~]# df -T Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/simfs simfs 20971520 16187440 4784080 78% / none tmpfs 6224432 4 6224428 1% /dev none tmpfs 6224432 0 6224432 0% /dev/shm [root@vps ~]# Laptop File Info [root@server1 ~]# df -T Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/mapper/vg_server1-lv_root ext4 72383800 4243964 64462860 7% / tmpfs tmpfs 956352 0 956352 0% /dev/shm /dev/sdb1 ext4 495844 60948 409296 13% /boot [root@server1 ~]# VPS CPU Info Removed to stay under the 30000 character limit required by ServerFault Laptop CPU Info [root@server1 ~]# cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Core(TM)2 Duo CPU T7100 @ 1.80GHz stepping : 13 cpu MHz : 800.000 cache size : 2048 KB physical id : 0 siblings : 2 core id : 0 cpu cores : 2 apicid : 0 initial apicid : 0 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm lahf_lm ida dts tpr_shadow vnmi flexpriority bogomips : 3591.39 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: processor : 1 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Core(TM)2 Duo CPU T7100 @ 1.80GHz stepping : 13 cpu MHz : 800.000 cache size : 2048 KB physical id : 0 siblings : 2 core id : 1 cpu cores : 2 apicid : 1 initial apicid : 1 fpu : yes fpu_exception : yes cpuid level : 10 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx lm constant_tsc arch_perfmon pebs bts rep_good aperfmperf pni dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm lahf_lm ida dts tpr_shadow vnmi flexpriority bogomips : 3591.39 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: [root@server1 ~]# EDIT New Info requested by shakalandy [root@localhost ~]# cat /proc/meminfo MemTotal: 2044804 kB MemFree: 761464 kB Buffers: 68868 kB Cached: 369708 kB SwapCached: 0 kB Active: 881080 kB Inactive: 246016 kB Active(anon): 688312 kB Inactive(anon): 4416 kB Active(file): 192768 kB Inactive(file): 241600 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 4095992 kB SwapFree: 4095992 kB Dirty: 0 kB Writeback: 0 kB AnonPages: 688428 kB Mapped: 65156 kB Shmem: 4216 kB Slab: 92428 kB SReclaimable: 31260 kB SUnreclaim: 61168 kB KernelStack: 2392 kB PageTables: 28356 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 5118392 kB Committed_AS: 1530212 kB VmallocTotal: 34359738367 kB VmallocUsed: 343604 kB VmallocChunk: 34359372920 kB HardwareCorrupted: 0 kB AnonHugePages: 520192 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 8556 kB DirectMap2M: 2078720 kB [root@localhost ~]# ps aux | grep mysql root 2227 0.0 0.0 108332 1504 ? S 07:36 0:00 /bin/sh /usr/bin/mysqld_safe --datadir=/var/lib/mysql --pid-file=/var/lib/mysql/localhost.badobe.com.pid mysql 2319 0.1 24.5 1470068 501360 ? Sl 07:36 0:57 /usr/sbin/mysqld --basedir=/usr --datadir=/var/lib/mysql --plugin-dir=/usr/lib64/mysql/plugin --user=mysql --log-error=/var/lib/mysql/localhost.badobe.com.err --pid-file=/var/lib/mysql/localhost.badobe.com.pid root 3579 0.0 0.1 201840 3028 pts/0 S+ 07:40 0:00 mysql -u root -p root 13887 0.0 0.1 201840 3036 pts/3 S+ 18:08 0:00 mysql -uroot -px xxxxxxxxxx root 14449 0.0 0.0 103248 840 pts/2 S+ 18:16 0:00 grep mysql [root@localhost ~]# ps aux | grep mysql root 2227 0.0 0.0 108332 1504 ? S 07:36 0:00 /bin/sh /usr/bin/mysqld_safe --datadir=/var/lib/mysql --pid-file=/var/lib/mysql/localhost.badobe.com.pid mysql 2319 0.1 24.5 1470068 501356 ? Sl 07:36 0:57 /usr/sbin/mysqld --basedir=/usr --datadir=/var/lib/mysql --plugin-dir=/usr/lib64/mysql/plugin --user=mysql --log-error=/var/lib/mysql/localhost.badobe.com.err --pid-file=/var/lib/mysql/localhost.badobe.com.pid root 3579 0.0 0.1 201840 3028 pts/0 S+ 07:40 0:00 mysql -u root -p root 13887 0.0 0.1 201840 3048 pts/3 S+ 18:08 0:00 mysql -uroot -px xxxxxxxxxx root 14470 0.0 0.0 103248 840 pts/2 S+ 18:16 0:00 grep mysql [root@localhost ~]# vmstat 1 procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu----- r b swpd free buff cache si so bi bo in cs us sy id wa st 0 0 0 742172 76376 371064 0 0 6 6 78 202 2 1 97 1 0 0 0 0 742164 76380 371060 0 0 0 16 191 467 2 1 93 5 0 0 0 0 742164 76380 371064 0 0 0 0 148 388 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 159 418 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 145 380 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 166 429 2 1 97 0 0 1 0 0 742164 76380 371064 0 0 0 0 148 373 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 149 382 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 168 408 2 0 97 0 0 0 0 0 742164 76380 371064 0 0 0 0 165 394 2 1 98 0 0 0 0 0 742164 76380 371064 0 0 0 0 159 354 2 1 98 0 0 0 0 0 742164 76388 371060 0 0 0 16 180 447 2 0 91 6 0 0 0 0 742164 76388 371064 0 0 0 0 143 344 2 1 98 0 0 0 1 0 742784 76416 370044 0 0 28 580 360 678 3 1 74 23 0 1 0 0 744768 76496 367772 0 0 40 1036 437 865 3 1 53 43 0 0 1 0 747248 76596 365412 0 0 48 1224 561 923 3 2 53 43 0 0 1 0 749232 76696 363092 0 0 32 1132 512 883 3 2 52 44 0 0 1 0 751340 76772 361020 0 0 32 1008 472 872 2 1 52 45 0 0 1 0 753448 76840 358540 0 0 36 1088 512 860 2 1 51 46 0 0 1 0 755060 76936 357636 0 0 28 1012 481 922 2 2 52 45 0 0 1 0 755060 77064 357988 0 0 12 896 444 902 2 1 53 45 0 0 1 0 754688 77148 358448 0 0 16 1096 506 1007 1 1 56 42 0 0 2 0 754192 77268 358932 0 0 12 1060 481 957 1 2 53 44 0 0 1 0 753696 77380 359392 0 0 12 1052 512 1025 2 1 55 42 0 0 1 0 751028 77480 359828 0 0 8 984 423 909 2 2 52 45 0 0 1 0 750524 77620 360200 0 0 8 788 367 869 1 2 54 44 0 0 1 0 749904 77700 360664 0 0 8 928 439 924 2 2 55 43 0 0 1 0 749408 77796 361084 0 0 12 976 468 967 1 1 56 43 0 0 1 0 748788 77896 361464 0 0 12 992 453 944 1 2 54 43 0 1 1 0 748416 77992 361996 0 0 12 784 392 868 2 1 52 46 0 0 1 0 747920 78092 362336 0 0 4 896 382 874 1 1 52 46 0 0 1 0 745252 78172 362780 0 0 12 1040 444 923 1 1 56 42 0 0 1 0 744764 78288 363220 0 0 8 1024 448 934 2 1 55 43 0 0 1 0 744144 78408 363668 0 0 8 1000 461 982 2 1 53 44 0 0 1 0 743648 78488 364148 0 0 8 872 443 888 2 1 54 43 0 0 1 0 743152 78548 364468 0 0 16 1020 511 995 2 1 55 43 0 0 1 0 742656 78632 365024 0 0 12 928 431 913 1 2 53 44 0 0 1 0 742160 78728 365468 0 0 12 996 470 955 2 2 54 44 0 1 1 0 739492 78840 365896 0 0 8 988 447 939 1 2 52 46 0 0 1 0 738872 78996 366352 0 0 12 972 442 928 1 1 55 44 0 1 1 0 738244 79148 366812 0 0 8 948 549 1126 2 2 54 43 0 0 1 0 737624 79312 367188 0 0 12 996 456 953 2 2 54 43 0 0 1 0 736880 79456 367660 0 0 12 960 444 918 1 1 53 46 0 0 1 0 736260 79584 368124 0 0 8 884 414 921 1 1 54 44 0 0 1 0 735648 79716 368488 0 0 12 976 450 955 2 1 56 41 0 0 1 0 733104 79840 368988 0 0 12 932 453 918 1 2 55 43 0 0 1 0 732608 79996 369356 0 0 16 916 444 889 1 2 54 43 0 1 1 0 731476 80128 369800 0 0 16 852 514 978 2 2 54 43 0 0 1 0 731244 80252 370200 0 0 8 904 398 870 2 1 55 43 0 1 1 0 730624 80384 370612 0 0 12 1032 447 977 1 2 57 41 0 0 1 0 730004 80524 371096 0 0 12 984 469 941 2 2 52 45 0 0 1 0 729508 80636 371544 0 0 12 928 438 922 2 1 52 46 0 0 1 0 728888 80756 371948 0 0 16 972 439 943 2 1 55 43 0 0 1 0 726468 80900 372272 0 0 8 960 545 1024 2 1 54 43 0 1 1 0 726344 81024 372272 0 0 8 464 490 1057 1 2 53 44 0 0 1 0 726096 81148 372276 0 0 4 328 441 1063 2 1 53 45 0 1 1 0 726096 81256 372292 0 0 0 296 387 975 1 1 53 45 0 0 1 0 725848 81380 372284 0 0 4 332 425 1034 2 1 54 44 0 1 1 0 725848 81496 372300 0 0 4 308 386 992 2 1 54 43 0 0 1 0 725600 81616 372296 0 0 4 328 404 1060 1 1 54 44 0 procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu----- r b swpd free buff cache si so bi bo in cs us sy id wa st 0 1 0 725600 81732 372296 0 0 4 328 439 1011 1 1 53 44 0 0 1 0 725476 81848 372308 0 0 0 316 441 1023 2 2 52 46 0 1 1 0 725352 81972 372300 0 0 4 344 451 1021 1 1 55 43 0 2 1 0 725228 82088 372320 0 0 0 328 427 1058 1 1 54 44 0 1 1 0 724980 82220 372300 0 0 4 336 419 999 2 1 54 44 0 1 1 0 724980 82328 372320 0 0 4 320 430 1019 1 1 54 44 0 1 1 0 724732 82436 372328 0 0 0 388 363 942 2 1 54 44 0 1 1 0 724608 82560 372312 0 0 4 308 419 993 1 2 54 44 0 1 0 0 724360 82684 372320 0 0 0 304 421 1028 2 1 55 42 0 1 0 0 724360 82684 372388 0 0 0 0 158 416 2 1 98 0 0 1 1 0 724236 82720 372360 0 0 0 6464 243 855 3 2 84 12 0 1 0 0 724112 82748 372360 0 0 0 5356 266 895 3 1 84 12 0 2 1 0 724112 82764 372380 0 0 0 3052 221 511 2 2 93 4 0 1 0 0 724112 82796 372372 0 0 0 4548 325 1067 2 2 81 16 0 1 0 0 724112 82816 372368 0 0 0 3240 259 829 3 1 90 6 0 1 0 0 724112 82836 372380 0 0 0 3260 309 822 3 2 88 8 0 1 1 0 724112 82876 372364 0 0 0 4680 326 978 3 1 77 19 0 1 0 0 724112 82884 372380 0 0 0 512 207 508 2 1 95 2 0 1 0 0 724112 82884 372388 0 0 0 0 138 361 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 158 397 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 146 395 2 1 98 0 0 2 0 0 724112 82884 372388 0 0 0 0 160 395 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 163 382 1 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 176 422 2 1 98 0 0 1 0 0 724112 82884 372388 0 0 0 0 134 351 2 1 98 0 0 0 0 0 724112 82884 372388 0 0 0 0 190 429 2 1 97 0 0 0 0 0 724104 82884 372392 0 0 0 0 139 358 2 1 98 0 0 0 0 0 724848 82884 372392 0 0 0 4 211 432 2 1 97 0 0 1 0 0 724980 82884 372392 0 0 0 0 166 370 2 1 98 0 0 0 0 0 724980 82884 372392 0 0 0 0 164 397 2 1 98 0 0 ^C [root@localhost ~]#

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  • Adding multiple star rating widgets to one page

    - by diglettpotato
    I am using this jQuery plugin for star ratings: http://orkans-tmp.22web.net/star_rating/ Everything is going great, including using AJAX, etc. The problem is that I need to have many per page and can't quite figure out how to work with the selectors to achieve this. I think this is probably very easy for someone who knows their jQuery... Here's some code below... There are multiple kids per page, and I need one rating widget for each kid. I can set up each #rat to be unique with a kid attached to it, like #1rat, #2rat, etc. But then how would I set up the function to be run on each of them independently? <script type="text/javascript"> $(function(){ var kidval=1; //this needs to be setup for each kid... not just 1 var uidval=1; $('#rat').children().not("select, #rating_title").hide(); var $caption = $('<div id="caption"/>'); $('#rat').stars({ inputType: "select", oneVoteOnly: false, callback: function(ui, type, value) { $("#"+kidval+"messages").text("Saving...").fadeIn(30); $.post("vote.php", {rate: value, kid: kidval, uid: uidval}, function(json) { $("#"+kidval+"messages").text("Average"); ui.select(Math.round(json.avg)); $caption.text(" (" + json.votes + " votes, " + json.avg + " avg)"); $("#"+kidval+"messages").text("Rated " + value + " Thanks!").stop().css("opacity", 1).fadeIn(30); setTimeout(function(){ $("#"+kidval+"messages").fadeOut(1000) }, 2000); }, "json"); } }); $('#rat').stars("selectID", -1); $caption.appendTo(#rat); $('<div id="'+kidval+'messages"/>').appendTo(#rat); });

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  • How to simply a foreach iteration using reflection

    - by Priya
    Consider that I have to get the overall performance of X. X has Y elements and Y in turn has Z elements which inturn has some N elements. To get the performance of X I do this: List<double> XQ = new List<double>(); foreach (Elem Y in X.Y){ List<double> YQ = new List<double>(); foreach (Elem Z in Y.Z){ List<double> ZQ = new List<double>(); foreach (Elem N in Z.N){ ZQ.Add(GetPerformance(N)); } YQ.Add(AVG(ZQ)); } XQ.Add(AVG(YQ)); } AVG of XQ list gives the performance of X. The performance can be calculated for either X or Y or for Z. X, Y and Z share the same base class. So depending on the item given the foreach loop has to be executed. Currently I have a switch case to determine each item (X or Y or Z) and the foreach loop is repeated in the code pertaining to the item (eg. If Y foreach starts from Y.Z). Is is possible to convert this whole code generic using reflection instead of having to repeat it in each switch case? Thanks

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  • Django aggregate query generating SQL error

    - by meepmeep
    I'm using Django 1.1.1 on a SQL Server 2005 db using the latest sqlserver_ado library. models.py includes: class Project(models.Model): name = models.CharField(max_length=50) class Thing(models.Model): project = models.ForeignKey(Project) reference = models.CharField(max_length=50) class ThingMonth(models.Model): thing = models.ForeignKey(Thing) timestamp = models.DateTimeField() ThingMonthValue = models.FloatField() class Meta: db_table = u'ThingMonthSummary' In a view, I have retrieved a queryset called 'things' which contains 25 Things: things = Thing.objects.select_related().filter(project=1).order_by('reference') I then want to do an aggregate query to get the average ThingMonthValue for the first 20 of those Things for a certain period, and the same value for the last 5. For the first 20 I do: averageThingMonthValue = ThingMonth.objects.filter(turbine__in=things[:20],timestamp__range="2009-01-01 00:00","2010-03-00:00")).aggregate(Avg('ThingMonthValue'))['ThingMonthValue__avg'] This works fine, and returns the desired value. For the last 5 I do: averageThingMonthValue = ThingMonth.objects.filter(turbine__in=things[20:],timestamp__range="2009-01-01 00:00","2010-03-00:00")).aggregate(Avg('ThingMonthValue'))['ThingMonthValue__avg'] But for this I get an SQL error: 'Only one expression can be specified in the select list when the subquery is not introduced with EXISTS.' The SQL query being used by django reads: SELECT AVG([ThingMonthSummary].[ThingMonthValue]) AS [ThingMonthValue__avg] FROM [ThingMonthSummary] WHERE ([ThingMonthSummary].[thing_id] IN (SELECT _row_num, [id] FROM ( SELECT ROW_NUMBER() OVER ( ORDER BY [AAAA].[id] ASC) as _row_num, [AAAA].[id] FROM ( SELECT U0.[id] FROM [Thing] U0 WHERE U0.[project_id] = 1 ) AS [AAAA]) as QQQ where 20 < _row_num) AND [ThingMonthSummary].[timestamp] BETWEEN '01/01/09 00:00:00' and '03/01/10 00:00:00') Any idea why it works for one slice of the Things and not the second? I've checked and the two slices do contain the desired Things correctly.

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  • Count problem in SQL when I want results from diffrent tabels

    - by Nicklas
    ALTER PROCEDURE GetProducts @CategoryID INT AS SELECT COUNT(tblReview.GroupID) AS ReviewCount, COUNT(tblComment.GroupID) AS CommentCount, Product.GroupID, MAX(Product.ProductID) AS ProductID, AVG(Product.Price) AS Price, MAX (Product.Year) AS Year, MAX (Product.Name) AS Name, AVG(tblReview.Grade) AS Grade FROM tblReview, tblComment, Product WHERE (Product.CategoryID = @CategoryID) GROUP BY Product.GroupID HAVING COUNT(distinct Product.GroupID) = 1 This is what the tabels look like: **Product** |**tblReview** | **tblComment** ProductID | ReviewID | CommentID Name | Description | Description Year | GroupID | GroupID Price | Grade | GroupID GroupID is name_year of a Product, ex Nike_2010. One product can have diffrent sizes for exampel: ProductID | Name | Year | Price | Size | GroupID 1 | Nike | 2010 | 50 | 8 | Nike_2010 2 | Nike | 2010 | 50 | 9 | Nike_2010 3 | Nike | 2010 | 50 | 10 | Nike_2010 4 | Adidas| 2009 | 45 | 8 | Adidas_2009 5 | Adidas| 2009 | 45 | 9 | Adidas_2009 6 | Adidas| 2009 | 45 | 10 | Adidas_2009 I dont get the right count in my tblReview and tblComment. If I add a review to Nike size 8 and I add one review to Nike size 10 I want 2 count results when I list the products with diffrent GroupID. Now I get the same count on Reviews and Comment and both are wrong. I use a datalist to show all the products with diffrent/unique GroupID, I want it to be like this: ______________ | | | Name: Nike | | Year: 2010 | | (All Sizes) | | x Reviews | | x Comments | | x AVG Grade | |______________| All Reviewcounts, Commentcounts and the Average of all products with the same GroupID, the Average works great.

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  • Declaring arrays in c language without initial size

    - by user2534857
    this is the question-- Write a program to manipulate the temperature details as given below. - Input the number of days to be calculated. – Main function - Input temperature in Celsius – input function - Convert the temperature from Celsius to Fahrenheit.- Separate function - find the average temperature in Fahrenheit. how can I make this program without initial size of array ?? #include<stdio.h> #include<conio.h> void input(int); int temp[10]; int d; void main() { int x=0; float avg=0,t=0; printf("\nHow many days : "); scanf("%d",&d); input(d); conv(); for(x=0;x<d;x++) { t=t+temp[x]; } avg=t/d; printf("Avarage is %f",avg); getch(); } void input(int d) { int x=0; for(x=0;x<d;x++) { printf("Input temperature in Celsius for #%d day",x+1); scanf("%d",&temp[x]); } } void conv() { int x=0; for(x=0;x<d;x++) { temp[x]=1.8*temp[x]+32; } }

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  • Why are 32-bit application pools more efficient in IIS? [closed]

    - by mhenry1384
    I've been running load tests with two different ASP.NET web applications in IIS. The tests are run with 5,10,25, and 250 user agents. Tested on a box with 8 GB RAM, Windows 7 Ultimate x64. The same box running both IIS and the load test project. I did many runs, and the data is very consistent. For every load, I see a lower "Avg. Page Time (sec)" and a lower "Avg. Response Time (sec)" if I have "Enable 32-bit Applications" set to True in the Application Pools. The difference gets more pronounced the higher the load. At very high loads, the web applications start to throw errors (503) if the application pools are 64-bit, but they can can keep up if set to 32-bit. Why are 32-bit app pools so much more efficient? Why isn't the default for application pools 32-bit?

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  • what is acceptable datastore latency on VMware ESXi host?

    - by BeowulfNode42
    Looking at our performance figures on our existing VMware ESXi 4.1 host at the Datastore/Real-time performance data Write Latency Avg 14 ms Max 41 ms Read Latency Avg 4.5 ms Max 12 ms People don't seem to be complaining too much about it being slow with those numbers. But how much higher could they get before people found it to be a problem? We are reviewing our head office systems due to running low on storage space, and are tossing up between buying a 2nd VM host with DAS or buying some sort of NAS for SMB file shares in the near term and maybe running VMs from it in the longer term. Currently we have just under 40 staff at head office with 9 smaller branches spread across the country. Head office is runnning in an MS RDS session based environment with linux ERP and mail systems. In total 22 VMs on a single host with DAS made from a RAID 10 made of 6x 15k SAS disks.

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  • guvcview recording video and audio out of synchronisation in Ubuntu 10.10

    - by SIJAR
    I finally got Guvcview, a great software for Logitech webcam and it does all the stuff that one wants out of it. But I'm not satisfy with the video recording, video and audio out of synchronisation also video seems to be in slow motion. Please help so that I can tweak in and get a good video recording with the webcam. Below is the log of Guvcview ------------------------------------------------------------------------------- guvcview 1.4.1 video_device: /dev/video0 vid_sleep: 0 cap_meth: 1 resolution: 640 x 480 windowsize: 1024 x 715 vert pane: 578 spin behavior: 0 mode: mjpg fps: 1/25 Display Fps: 0 bpp: 0 hwaccel: 1 avi_format: 4 sound: 1 sound Device: 4 sound samp rate: 0 sound Channels: 0 Sound delay: 0 nanosec Sound Format: 85 Pan Step: 2 degrees Tilt Step: 2 degrees Video Filter Flags: 0 image inc: 0 profile(default):/home/sijar/default.gpfl starting portaudio... bt_audio_service_open: connect() failed: Connection refused (111) bt_audio_service_open: connect() failed: Connection refused (111) bt_audio_service_open: connect() failed: Connection refused (111) bt_audio_service_open: connect() failed: Connection refused (111) Cannot connect to server socket err = No such file or directory Cannot connect to server socket jack server is not running or cannot be started language catalog= dir:/usr/share/locale type:UTF-8 lang:en_US.utf8 cat:guvcview.mo mjpg: setting format to 1196444237 capture method = 1 video device: /dev/video0 libv4lconvert: warning more framesizes then I can handle! libv4lconvert: warning more framesizes then I can handle! /dev/video0 - device 1 libv4lconvert: warning more framesizes then I can handle! libv4lconvert: warning more framesizes then I can handle! Init. UVC Camera (046d:0825) (location: usb-0000:00:1d.7-5) { pixelformat = 'YUYV', description = 'YUV 4:2:2 (YUYV)' } { discrete: width = 640, height = 480 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 160, height = 120 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 176, height = 144 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 320, height = 176 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 320, height = 240 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 352, height = 288 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 432, height = 240 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 544, height = 288 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, { discrete: width = 640, height = 360 } Time interval between frame: 1/30, 1/25, 1/20, 1/15, 1/10, 1/5, ... repeats a couple of times ... vid:046d pid:0825 driver:uvcvideo Adding control for Pan (relative) UVCIOC_CTRL_ADD - Error: Operation not permitted checking format: 1196444237 VIDIOC_G_COMP:: Invalid argument compression control not supported fps is set to 1/25 drawing controls control[0]: 0x980900 Brightness, 0:255:1, default 128 control[0]: 0x980901 Contrast, 0:255:1, default 32 control[0]: 0x980902 Saturation, 0:255:1, default 32 control[0]: 0x98090c White Balance Temperature, Auto, 0:1:1, default 1 control[0]: 0x980913 Gain, 0:255:1, default 0 control[0]: 0x980918 Power Line Frequency, 0:2:1, default 2 control[0]: 0x98091a White Balance Temperature, 0:10000:10, default 4000 control[0]: 0x98091b Sharpness, 0:255:1, default 24 control[0]: 0x98091c Backlight Compensation, 0:1:1, default 1 control[0]: 0x9a0901 Exposure, Auto, 0:3:1, default 3 control[0]: 0x9a0902 Exposure (Absolute), 1:10000:1, default 166 control[0]: 0x9a0903 Exposure, Auto Priority, 0:1:1, default 0 resolutions of format(2) = 19 frame rates of 1º resolution=6 Def. Res: 0 numb. fps:6 --------------------------------------- device #0 Name = Intel 82801DB-ICH4: Intel 82801DB-ICH4 (hw:0,0) Host API = ALSA Max inputs = 2, Max outputs = 2 Def. low input latency = 0.012 Def. low output latency = 0.012 Def. high input latency = 0.046 Def. high output latency = 0.046 Def. sample rate = 44100.00 --------------------------------------- device #1 Name = Intel 82801DB-ICH4: Intel 82801DB-ICH4 - MIC ADC (hw:0,1) Host API = ALSA Max inputs = 2, Max outputs = 0 Def. low input latency = 0.011 Def. low output latency = -1.000 Def. high input latency = 0.043 Def. high output latency = -1.000 Def. sample rate = 48000.00 --------------------------------------- device #2 Name = Intel 82801DB-ICH4: Intel 82801DB-ICH4 - MIC2 ADC (hw:0,2) Host API = ALSA Max inputs = 2, Max outputs = 0 Def. low input latency = 0.011 Def. low output latency = -1.000 Def. high input latency = 0.043 Def. high output latency = -1.000 Def. sample rate = 48000.00 --------------------------------------- device #3 Name = Intel 82801DB-ICH4: Intel 82801DB-ICH4 - ADC2 (hw:0,3) Host API = ALSA Max inputs = 2, Max outputs = 0 Def. low input latency = 0.011 Def. low output latency = -1.000 Def. high input latency = 0.043 Def. high output latency = -1.000 Def. sample rate = 48000.00 --------------------------------------- device #4 Name = Intel 82801DB-ICH4: Intel 82801DB-ICH4 - IEC958 (hw:0,4) Host API = ALSA Max inputs = 0, Max outputs = 2 Def. low input latency = -1.000 Def. low output latency = 0.011 Def. high input latency = -1.000 Def. high output latency = 0.043 Def. sample rate = 48000.00 --------------------------------------- device #5 Name = USB Device 0x46d:0x825: USB Audio (hw:1,0) Host API = ALSA Max inputs = 1, Max outputs = 0 Def. low input latency = 0.011 Def. low output latency = -1.000 Def. high input latency = 0.043 Def. high output latency = -1.000 Def. sample rate = 48000.00 --------------------------------------- device #6 Name = front Host API = ALSA Max inputs = 0, Max outputs = 2 Def. low input latency = -1.000 Def. low output latency = 0.012 Def. high input latency = -1.000 Def. high output latency = 0.046 Def. sample rate = 44100.00 --------------------------------------- device #7 Name = iec958 Host API = ALSA Max inputs = 0, Max outputs = 2 Def. low input latency = -1.000 Def. low output latency = 0.011 Def. high input latency = -1.000 Def. high output latency = 0.043 Def. sample rate = 48000.00 --------------------------------------- device #8 Name = spdif Host API = ALSA Max inputs = 0, Max outputs = 2 Def. low input latency = -1.000 Def. low output latency = 0.011 Def. high input latency = -1.000 Def. high output latency = 0.043 Def. sample rate = 48000.00 --------------------------------------- device #9 Name = pulse Host API = ALSA Max inputs = 32, Max outputs = 32 Def. low input latency = 0.012 Def. low output latency = 0.012 Def. high input latency = 0.046 Def. high output latency = 0.046 Def. sample rate = 44100.00 --------------------------------------- device #10 Name = dmix Host API = ALSA Max inputs = 0, Max outputs = 2 Def. low input latency = -1.000 Def. low output latency = 0.043 Def. high input latency = -1.000 Def. high output latency = 0.043 Def. sample rate = 48000.00 --------------------------------------- device #11 [ Default Input, Default Output ] Name = default Host API = ALSA Max inputs = 32, Max outputs = 32 Def. low input latency = 0.012 Def. low output latency = 0.012 Def. high input latency = 0.046 Def. high output latency = 0.046 Def. sample rate = 44100.00 ---------------------------------------------- SampleRate:0 Channels:0 Video driver: x11 A window manager is available VIDIOC_S_EXT_CTRLS for multiple controls failed (error -1) using VIDIOC_S_CTRL for user class controls control(0x0098091a) "White Balance Temperature" failed to set (error -1) VIDIOC_S_EXT_CTRLS for multiple controls failed (error -1) using VIDIOC_S_EXT_CTRLS on single controls for class: 0x009a0000 control(0x009a0902) "Exposure (Absolute)" failed to set (error -1) VIDIOC_S_EXT_CTRLS for multiple controls failed (error -1) using VIDIOC_S_CTRL for user class controls control(0x0098091a) "White Balance Temperature" failed to set (error -1) VIDIOC_S_EXT_CTRLS for multiple controls failed (error -1) using VIDIOC_S_EXT_CTRLS on single controls for class: 0x009a0000 control(0x009a0902) "Exposure (Absolute)" failed to set (error -1) Cap Video toggled: 1 (/home/sijar/Videos/Webcam) 25371756K bytes free on a total of 39908968K (used: 36 %) treshold=51200K using audio codec: 0x0055 Audio frame size is 1152 samples for selected codec IO thread started...OK [libx264 @ 0x8cbd8b0]using cpu capabilities: MMX2 SSE2 Cache64 [libx264 @ 0x8cbd8b0]profile Baseline, level 3.0 [libx264 @ 0x8cbd8b0]non-strictly-monotonic PTS shift sound by -9 ms shift sound by -9 ms shift sound by -9 ms AUDIO: droping audio data AUDIO: droping audio data AUDIO: droping audio data AUDIO: droping audio data AUDIO: droping audio data ... repeats a couple of times ... AUDIO: droping audio data (/home/sijar/Videos/Webcam) 25371748K bytes free on a total of 39908968K (used: 36 %) treshold=51200K AUDIO: droping audio data AUDIO: droping audio data ... repeats a couple of times ... Cap Video toggled: 0 Shuting Down IO Thread AUDIO: droping audio data stop= 4426644744000 start=4416533023000 VIDEO: 146 frames in 10111.000000 ms = 14.439719 fps Stoping audio stream Closing audio stream... close avi Last message repeated 145 times [libx264 @ 0x8cbd8b0]frame I:2 Avg QP:14.10 size: 24492 [libx264 @ 0x8cbd8b0]frame P:103 Avg QP:16.06 size: 20715 [libx264 @ 0x8cbd8b0]mb I I16..4: 48.4% 0.0% 51.6% [libx264 @ 0x8cbd8b0]mb P I16..4: 57.5% 0.0% 0.0% P16..4: 40.2% 0.0% 0.0% 0.0% 0.0% skip: 2.3% [libx264 @ 0x8cbd8b0]final ratefactor: 62.05 [libx264 @ 0x8cbd8b0]coded y,uvDC,uvAC intra: 79.7% 92.2% 68.4% inter: 62.4% 87.5% 48.0% [libx264 @ 0x8cbd8b0]i16 v,h,dc,p: 23% 17% 41% 19% [libx264 @ 0x8cbd8b0]i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 30% 24% 26% 2% 5% 3% 3% 3% 4% [libx264 @ 0x8cbd8b0]i8c dc,h,v,p: 53% 20% 23% 4% [libx264 @ 0x8cbd8b0]ref P L0: 63.0% 37.0% [libx264 @ 0x8cbd8b0]kb/s:-0.00 total frames encoded: 0 total audio frames encoded: 0 IO thread finished...OK IO Thread finished enabling controls Cap Video toggled: 1 (/home/sijar/Videos/Webcam) 25379744K bytes free on a total of 39908968K (used: 36 %) treshold=51200K using audio codec: 0x0055 Audio frame size is 1152 samples for selected codec IO thread started...OK [libx264 @ 0x8cfba20]using cpu capabilities: MMX2 SSE2 Cache64 [libx264 @ 0x8cfba20]profile Baseline, level 3.0 [libx264 @ 0x8cfba20]non-strictly-monotonic PTS shift sound by -236 ms shift sound by -236 ms shift sound by -236 ms (/home/sijar/Videos/Webcam) 25377044K bytes free on a total of 39908968K (used: 36 %) treshold=51200K (/home/sijar/Videos/Webcam) 25373408K bytes free on a total of 39908968K (used: 36 %) treshold=51200K AUDIO: droping audio data AUDIO: droping audio data AUDIO: droping audio data AUDIO: droping audio data AUDIO: droping audio data AUDIO: droping audio data ... repeats a couple of times ... (/home/sijar/Videos/Webcam) 25370696K bytes free on a total of 39908968K (used: 36 %) treshold=51200K AUDIO: droping audio data AUDIO: droping audio data AUDIO: droping audio data ... repeats a couple of times ... (/home/sijar/Videos/Webcam) 25367680K bytes free on a total of 39908968K (used: 36 %) treshold=51200K (/home/sijar/Videos/Webcam) 25364052K bytes free on a total of 39908968K (used: 36 %) treshold=51200K (/home/sijar/Videos/Webcam) 25360312K bytes free on a total of 39908968K (used: 36 %) treshold=51200K (/home/sijar/Videos/Webcam) 25356628K bytes free on a total of 39908968K (used: 36 %) treshold=51200K (/home/sijar/Videos/Webcam) 25352908K bytes free on a total of 39908968K (used: 36 %) treshold=51200K (/home/sijar/Videos/Webcam) 25349316K bytes free on a total of 39908968K (used: 36 %) treshold=51200K (/home/sijar/Videos/Webcam) 25345552K bytes free on a total of 39908968K (used: 36 %) treshold=51200K (/home/sijar/Videos/Webcam) 25341828K bytes free on a total of 39908968K (used: 36 %) treshold=51200K (/home/sijar/Videos/Webcam) 25338092K bytes free on a total of 39908968K (used: 36 %) treshold=51200K (/home/sijar/Videos/Webcam) 25334412K bytes free on a total of 39908968K (used: 36 %) treshold=51200K Cap Video toggled: 0 Shuting Down IO Thread stop= 4708817235000 start=4578624714000 VIDEO: 1604 frames in 130192.000000 ms = 12.320265 fps Stoping audio stream Closing audio stream... close avi Last message repeated 1603 times [libx264 @ 0x8cfba20]frame I:16 Avg QP:14.78 size: 42627 [libx264 @ 0x8cfba20]frame P:1547 Avg QP:16.44 size: 28599 [libx264 @ 0x8cfba20]mb I I16..4: 21.6% 0.0% 78.4% [libx264 @ 0x8cfba20]mb P I16..4: 28.1% 0.0% 0.0% P16..4: 70.5% 0.0% 0.0% 0.0% 0.0% skip: 1.4% [libx264 @ 0x8cfba20]final ratefactor: 88.17 [libx264 @ 0x8cfba20]coded y,uvDC,uvAC intra: 74.4% 95.8% 83.2% inter: 75.2% 94.6% 69.2% [libx264 @ 0x8cfba20]i16 v,h,dc,p: 27% 17% 40% 16% [libx264 @ 0x8cfba20]i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 25% 25% 21% 3% 6% 4% 5% 4% 7% [libx264 @ 0x8cfba20]i8c dc,h,v,p: 61% 18% 18% 4% [libx264 @ 0x8cfba20]ref P L0: 64.0% 36.0% [libx264 @ 0x8cfba20]kb/s:-0.00 total frames encoded: 0 total audio frames encoded: 0 IO thread finished...OK IO Thread finished enabling controls Shuting Down Thread Thread terminated... cleaning Thread allocations: 100% SDL Quit Video Thread finished write /home/sijar/.guvcviewrc OK free audio mutex closed v4l2 strutures free controls free controls - vidState cleaned allocations - 100% Closing portaudio ...OK Closing GTK... OK

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  • Troubles logging into VPN on Win7 64bit

    - by mike
    Hi, Before I can successfully logon to my company's VPN it runs a small check in the browser to check my current processes. One of the things it checks (among other things) is to see if you have an antivirus running. If you don't, you can't connect and it says please install one with a couple links to some free ones. The issue I'm having is I recently upgraded to Win7 x64 and I haven't been able to get past the "antivirus check" part. Before, I had AVG running and I never had a single problem for years. Now I tried both AVG and Avast and I still get blocked. Does it have something to do with both of these antiviruses running in *32 mode in the processes? Any help or ideas on how to fix this would be awesome. Thanks!

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  • AWS Autoscaling issue with existing nodes in ELB

    - by Ram Prasad
    I already have a ELB setup called MyLoadBalancer. I already have 2 nodes running on it with health checks (that checks a URL on the node to see if they are up) Created an autoscaling group (min 2, Max 10) Associated launchconfig mylaunchconfig that provisions a node using an AMI Created a trigger, that checks for avg min connections of 100 and Max of 500 (checks the load balancer and it is support to increase the node count by 1, if avg connections are 500 and decrease by one if less than 100) as-create-or-update-trigger MyTrigger --auto-scaling-group MyAutoScalingGroup --namespace "AWS/ELB" --measure RequestCount --statistic Average --dimensions "LoadBalancerName=MyLoadBalancer" --period 60 --lower-threshold 500 --upper-threshold 800 --lower-breach-increment=-1 --upper-breach-increment=1 --breach-duration 600 Now the issue is, as soon as I put in the trigger, it start 2 nodes .... but there are already two nodes in the LB. So, why is it provisioning 2 more nodes, when the nodes are there ? is it because it is not recognizing the existing 2 nodes ? then how do I add the existing nodes to the AutoScaling group ?

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  • The ping response time doesn't reflect the real network response time

    - by yangchenyun
    I encountered a weird problem that the response time returned by ping is almost fixed at 98ms. Either I ping the gateway, or I ping a local host or a internet host. The response time is always around 98ms although the actual delay is obvious. However, the reverse ping (from a local machine to this host) works properly. The following is my route table and the result: route -n Kernel IP routing table Destination Gateway Genmask Flags Metric Ref Use Iface 0.0.0.0 192.168.1.1 0.0.0.0 UG 100 0 0 eth1 60.194.136.0 0.0.0.0 255.255.255.0 U 0 0 0 eth0 169.254.0.0 0.0.0.0 255.255.0.0 U 1000 0 0 eth1 192.168.1.0 0.0.0.0 255.255.255.0 U 0 0 0 eth1 # ping the gateway ping 192.168.1.1 PING 192.168.1.1 (192.168.1.1) 56(84) bytes of data. 64 bytes from 192.168.1.1: icmp_req=1 ttl=64 time=98.7 ms 64 bytes from 192.168.1.1: icmp_req=2 ttl=64 time=97.0 ms 64 bytes from 192.168.1.1: icmp_req=3 ttl=64 time=96.0 ms 64 bytes from 192.168.1.1: icmp_req=4 ttl=64 time=94.9 ms 64 bytes from 192.168.1.1: icmp_req=5 ttl=64 time=94.0 ms ^C --- 192.168.1.1 ping statistics --- 5 packets transmitted, 5 received, 0% packet loss, time 4004ms rtt min/avg/max/mdev = 94.030/96.149/98.744/1.673 ms #ping a local machine ping 192.168.1.88 PING 192.168.1.88 (192.168.1.88) 56(84) bytes of data. 64 bytes from 192.168.1.88: icmp_req=1 ttl=64 time=98.7 ms 64 bytes from 192.168.1.88: icmp_req=2 ttl=64 time=96.9 ms 64 bytes from 192.168.1.88: icmp_req=3 ttl=64 time=96.0 ms 64 bytes from 192.168.1.88: icmp_req=4 ttl=64 time=95.0 ms ^C --- 192.168.1.88 ping statistics --- 4 packets transmitted, 4 received, 0% packet loss, time 3003ms rtt min/avg/max/mdev = 95.003/96.696/98.786/1.428 ms #ping a internet host ping google.com PING google.com (74.125.128.139) 56(84) bytes of data. 64 bytes from hg-in-f139.1e100.net (74.125.128.139): icmp_req=1 ttl=42 time=99.8 ms 64 bytes from hg-in-f139.1e100.net (74.125.128.139): icmp_req=2 ttl=42 time=99.9 ms 64 bytes from hg-in-f139.1e100.net (74.125.128.139): icmp_req=3 ttl=42 time=99.9 ms 64 bytes from hg-in-f139.1e100.net (74.125.128.139): icmp_req=4 ttl=42 time=99.9 ms ^C64 bytes from hg-in-f139.1e100.net (74.125.128.139): icmp_req=5 ttl=42 time=99.9 ms --- google.com ping statistics --- 5 packets transmitted, 5 received, 0% packet loss, time 32799ms rtt min/avg/max/mdev = 99.862/99.925/99.944/0.284 ms I am running iperf to test the bandwidth, the rate is quite low for a LAN connection. iperf -c 192.168.1.87 -t 50 -i 10 -f M ------------------------------------------------------------ Client connecting to 192.168.1.87, TCP port 5001 TCP window size: 0.06 MByte (default) ------------------------------------------------------------ [ 4] local 192.168.1.139 port 54697 connected with 192.168.1.87 port 5001 [ ID] Interval Transfer Bandwidth [ 4] 0.0-10.0 sec 6.12 MBytes 0.61 MBytes/sec [ 4] 10.0-20.0 sec 6.38 MBytes 0.64 MBytes/sec [ 4] 20.0-30.0 sec 6.38 MBytes 0.64 MBytes/sec [ 4] 30.0-40.0 sec 6.25 MBytes 0.62 MBytes/sec [ 4] 40.0-50.0 sec 6.38 MBytes 0.64 MBytes/sec [ 4] 0.0-50.1 sec 31.6 MBytes 0.63 MBytes/sec

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  • Using Groovy Aggregate Functions in ADF BC

    - by Sireesha Pinninti
    This article explains how groovy aggregate functions(sum, count, min, max and avg) can be used in ADF Business components and demonstrates how these can be used at entity and view level Let's consider EMP and DEPT tables and an usecase to track number of employees in each department   Entity-Level To use aggregate functions at entity level, we need to have association between entities representing master and child relationship and the destination accessor name is what we are going to use in our groovy Syntax: <Accessor>.count(Groovyexpression) - Note down the destination accessor name(EMP) in the association or AccessorAttribute name in source entity - Add a transient attribute in source entity with persistent property set to false and provide the groovy expression in the syntax provided above - Finally, Add newly added attribute to view object View-Level To use aggregate functions at view level, we need to have a view link between viewobjects representing master and child relationship and the destination accessor name is what we are going to use in our groovy Syntax: <ViewLinkAccessor>.count(Groovyexpression) - Note down the destination accessor name(EmpView) in the view link or viewLinkAccessor name in source view - Add a transient attribute in view object and provide a groovy aggregate function count as a value to it in the syntax provided above Now, If you run application module tester and execute DeptView / ViewLink, you should see employee count in EmpCount field  In similar way, one can use other groovy aggregate functions sum, avg, min and max.

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  • How much the distance and ms can affect on the download speed ?

    - by Prix
    Let's consider A (client) and B (server) where A makes download from B. How much can a bad routing from A to B affect the download speed ? For example A does a tracert to B and get a response of 10 steps where the avg ms is around 300 with 10% packet loss at the 4 step and when the connection is normal the avg from A to B is 10 ~ 30 ms. Could this sort of impact reduce A download speed drasticaly or as long as both side and routes have enough link for the full speed of A from B and vice-versa it should maintain the same speed ? Besides tracert and the ping analyse of A to B what else is used to identify the problem ? If you need extra information please let me know.

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  • High disk time on sql-server

    - by Patrik
    Hi We have a dedicated sql-server 2008 r2 enterprise edition. The setup is: D: (data files) - stored on local ssd disks (not the same disks as log files) (raid 10) E: (log files) - stored on local ssd disks (not the same disks as data files) (raid 1) F: (transaction log backup) - stored remote on a SAN Today we moved our log files to new disks (from F: to E:). From a shared volume ( F:(SAN)) to dedicated local disks (E:). What then happend was that the "disk time", "avg. transfer time" and "avg disk write queue length" increased on the volume where we have the data files (D:) (not on the volume where the log files are located). The data volume and log volume does not share disks, however they share the same controller card. "Disk idle time" is low for all volumes. One thought is ofcourse that the controller card might be overloaded. But, we need more ideas on where the problem might be.

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  • Determine Server specs for a Rails with MySQL database (on AWS)

    - by Rogier
    I developed a intranet applications with Rails (3.2) for one of my customers. There will be around 30-40 employees working with it. Backend is MySQL (5). What would be the best way to determine the servers specs needed? Given: max. load will be roughly 2400 (40*60) HTTP requests (mixed GET / POST) per hour. 15% of these calls are JSON calls (iOS) avg request will make between 5-10 database calls 500-800 SQL INSERTS per day webpages are fairly simple (no images, just text) avg webpage is 15 request (css/js/etc) and total size is 35-45 KB More specific, since they need access from multiple geographical locations, we are thinking of running a bitnami Ruby stack in the AWS cloud (uptime is important). Any thoughts on a AWS Instance (small/medium) and Utilization (light/medium/heavy) ? Thanks!

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  • Anti-virus protection question?

    - by DaBaer
    About 4 years ago, I found Kaspersky and have been using the most current version since. Most people try and argue the use of AVG or Avast to me, and there are some very solid reasons I do not go that route. Over the years, I have found Kasp to become bulkier and bulkier, and have had issues setting it up for friends/family/clients. I am just curios on possible recommendations from other users, with my criteria in mind: What I like about Kasp in the past: The license sold in stores in a 3 pack, is considered a commercial license, and emails from Kasp in response to my questions, make it clear that I can do with the 3 licenses that I want, providing I do not use more than 3 installs per Key. So, allowed me to buy 3, 5, and 7 packs, and resell to users at a cheaper cost than what they would pay if they bought their own license. The ability to easily obtain a currently updated .exe for installation on multiple peoples machines. Power of the scan. Kasp has been a good solution for me (even when using a trial license) on cleaning up machines that were badly infected (in which AVG and AVAST were unable to.) Speed of install/update. After a cleanup of malwarebytes, spybot, mcafee stinger, ccleaner, and combofix, I used to be able to get Kasp Int Security installed and updated in around 5 minutes. The issues that I have with the free AV, is strength of protection. In my opinion for someone who is a 'power use' these are good alternatives, because such a user should be trained or knowledgeable enough to be careful and not get themselves in trouble. Most of the users I assist, are too PC ignorant to know any better, and go hogwild on the web. It has been my experience that the number of people coming back to me with spyware/malware/virus issues since I have converted from AVG to Kasp has been cut down to around 20% of what it used to be 4 or 5 years ago. In a perfect world, I could install and use Kasp Internet Security 2008, and be very happy. But this is not the case anymore. So after this long description of what I used, and have used, does anyone have any good recommendations on AV that isn't going to cost me too much per install?

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  • Windows XP: Slow start menu 'All Programs' response

    - by user17381
    When I click start, and then 'All Programs' (or select a sub menu of all programs) I get a grey menu which does not respond for about 5 seconds - after this it is ok. Any idea what is causing the menu to behave sluggishly? What can be done to fix this? Thanks Info Requested System Specs : Core2 T5500 @1.66GHz, 2GB Ram Windows version: XP Professional SP2 Happens Every time I click the menu (not just first time), has gradually been getting worse. Nothing too unusual at startup: ComodoFirewall, AVG AV, Truecrypt (only for small volume). AV Software: AVG.

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