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  • Optimize Apache performance

    - by Phliplip
    I'm looking for ways to optimize our current web server hosted in-house. I'm trying to supply as much relevant information below. Please let me know if you would require additional information in order to assist. Server is running 1 single website, which is an online pizza ordering platform built on Zend Framework (ver1). On traffic stats from the last month aprox 6.000 pageloads per day, concentrated mainly around dinnertime. Around 1500 loads/hour peaks in that period. We recently upgraded from a 2/2mbit aDSL-line to 100/100mbit fiber, and we still have performance issues at dinner time. We assumed the 2mbit was the issue. Website is pretty snappy in low-load periods. Hardware CPU: Intel(R) Xeon(R) CPU 5160 @ 3.00GHz (3000.13-MHz K8-class CPU) Mem: 328M Active, 4427M Inact, 891M Wired, 244M Cache, 623M Buf, 33M Free Swap: 16G Total, 468K Used, 16G Free (6GB physical, 16GB swap) Filesystem Type Size Used Avail Capacity Mounted on /dev/ad7s1a ufs 4.8G 768M 3.7G 17% / devfs devfs 1.0K 1.0K 0B 100% /dev /dev/ad7s1g ufs 176G 5.2G 157G 3% /home /dev/ad7s1e ufs 4.8G 2.8M 4.5G 0% /tmp /dev/ad7s1f ufs 19G 3.5G 14G 19% /usr /dev/ad7s1d ufs 4.8G 550M 3.9G 12% /var Server OS FreeBSD 8.2-RELEASE Software apache-2.2.17 php5-5.3.8 mysql-server-5.5 Apache footprint (example, taken from # top) 31140 www 1 45 0 377M 41588K lockf 2 0:00 0.00% httpd 31122 www 1 44 0 375M 35416K lockf 2 0:00 0.00% httpd 31109 www 1 44 0 375M 38188K lockf 2 0:00 0.00% httpd 31113 www 1 44 0 375M 35188K lockf 2 0:00 0.00% httpd Apache is using the prefork MPM, APC (Alternative PHP Cache). SSL module is loaded, but not utilized (as in don't really work, thus not used). There is a file containing settings for MPM modules, but as i see it's not included in the httpd.conf file, the include line is commented out. Thus i would guess that the prefork MPM is working of default values too. Here are some other Apache conf values that i found - which are included in https.conf Timeout 300 KeepAlive On MaxKeepAliveRequests 100 KeepAliveTimeout 5 UseCanonicalName Off HostnameLookups Off

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  • Optimize MySQL query (ngrams, COUNT(), GROUP BY, ORDER BY)

    - by Gerardo
    I have a database with thousands of companies and their locations. I have implemented n-grams to optimize search. I am making one query to retrieve all the companies that match with the search query and another one to get a list with their locations and the number of companies in each location. The query I am trying to optimize is the latter. Maybe the problem is this: Every company ('anunciante') has a field ('estado') to make logical deletes. So, if 'estado' equals 1, the company should be retrieved. When I run the EXPLAIN command, it shows that it goes through almost 40k rows, when the actual result (the reality matching companies) are 80. How can I optimize this? This is my query (XXX represent the n-grams for the search query): SELECT provincias.provincia AS provincia, provincias.id, COUNT(*) AS cantidad FROM anunciantes JOIN anunciante_invertido AS a_i0 ON anunciantes.id = a_i0.id_anunciante JOIN indice_invertido AS indice0 ON a_i0.id_invertido = indice0.id LEFT OUTER JOIN domicilios ON anunciantes.id = domicilios.id_anunciante LEFT OUTER JOIN localidades ON domicilios.id_localidad = localidades.id LEFT OUTER JOIN provincias ON provincias.id = localidades.id_provincia WHERE anunciantes.estado = 1 AND indice0.id IN (SELECT invertido_ngrama.id_palabra FROM invertido_ngrama JOIN ngrama ON ngrama.id = invertido_ngrama.id_ngrama WHERE ngrama.ngrama = 'XXX') AND indice0.id IN (SELECT invertido_ngrama.id_palabra FROM invertido_ngrama JOIN ngrama ON ngrama.id = invertido_ngrama.id_ngrama WHERE ngrama.ngrama = 'XXX') AND indice0.id IN (SELECT invertido_ngrama.id_palabra FROM invertido_ngrama JOIN ngrama ON ngrama.id = invertido_ngrama.id_ngrama WHERE ngrama.ngrama = 'XXX') AND indice0.id IN (SELECT invertido_ngrama.id_palabra FROM invertido_ngrama JOIN ngrama ON ngrama.id = invertido_ngrama.id_ngrama WHERE ngrama.ngrama = 'XXX') AND indice0.id IN (SELECT invertido_ngrama.id_palabra FROM invertido_ngrama JOIN ngrama ON ngrama.id = invertido_ngrama.id_ngrama WHERE ngrama.ngrama = 'XXX') GROUP BY provincias.id ORDER BY cantidad DESC And this is the query explained (hope it can be read in this format): id select_type table type possible_keys key key_len ref rows Extra 1 PRIMARY anunciantes ref PRIMARY,estado estado 1 const 36669 Using index; Using temporary; Using filesort 1 PRIMARY domicilios ref id_anunciante id_anunciante 4 db84771_viaempresas.anunciantes.id 1 1 PRIMARY localidades eq_ref PRIMARY PRIMARY 4 db84771_viaempresas.domicilios.id_localidad 1 1 PRIMARY provincias eq_ref PRIMARY PRIMARY 4 db84771_viaempresas.localidades.id_provincia 1 1 PRIMARY a_i0 ref PRIMARY,id_anunciante,id_invertido PRIMARY 4 db84771_viaempresas.anunciantes.id 1 Using where; Using index 1 PRIMARY indice0 eq_ref PRIMARY PRIMARY 4 db84771_viaempresas.a_i0.id_invertido 1 Using index 6 DEPENDENT SUBQUERY ngrama const PRIMARY,ngrama ngrama 5 const 1 Using index 6 DEPENDENT SUBQUERY invertido_ngrama eq_ref PRIMARY,id_palabra,id_ngrama PRIMARY 8 func,const 1 Using index 5 DEPENDENT SUBQUERY ngrama const PRIMARY,ngrama ngrama 5 const 1 Using index 5 DEPENDENT SUBQUERY invertido_ngrama eq_ref PRIMARY,id_palabra,id_ngrama PRIMARY 8 func,const 1 Using index 4 DEPENDENT SUBQUERY ngrama const PRIMARY,ngrama ngrama 5 const 1 Using index 4 DEPENDENT SUBQUERY invertido_ngrama eq_ref PRIMARY,id_palabra,id_ngrama PRIMARY 8 func,const 1 Using index 3 DEPENDENT SUBQUERY ngrama const PRIMARY,ngrama ngrama 5 const 1 Using index 3 DEPENDENT SUBQUERY invertido_ngrama eq_ref PRIMARY,id_palabra,id_ngrama PRIMARY 8 func,const 1 Using index 2 DEPENDENT SUBQUERY ngrama const PRIMARY,ngrama ngrama 5 const 1 Using index 2 DEPENDENT SUBQUERY invertido_ngrama eq_ref PRIMARY,id_palabra,id_ngrama PRIMARY 8 func,const 1 Using index

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  • [MySQL] Optimize Query

    - by bordeux
    Hello. I have problem with optimize this query: SET @SEARCH = "dokumentalne"; SELECT SQL_NO_CACHE `AA`.`version` AS `Version` , `AA`.`contents` AS `Contents` , `AA`.`idarticle` AS `AdressInSQL` , `AA` .`topic` AS `Topic` , MATCH (`AA`.`topic` , `AA`.`contents`) AGAINST (@SEARCH) AS `Relevance` , `IA`.`url` AS `URL` FROM `xv_article` AS `AA` INNER JOIN `xv_articleindex` AS `IA` ON ( `AA`.`idarticle` = `IA`.`adressinsql` ) INNER JOIN ( SELECT `idarticle` , MAX( `version` ) AS `version` FROM `xv_article` WHERE MATCH (`topic` , `contents`) AGAINST (@SEARCH) GROUP BY `idarticle` ) AS `MG` ON ( `AA`.`idarticle` = `MG`.`idarticle` ) WHERE `IA`.`accepted` = "yes" AND `AA`.`version` = `MG`.`version` ORDER BY `Relevance` DESC LIMIT 0 , 30 Now, this query using ^ 20 seconds. How to optimize this? EXPLAIN gives this: 1 PRIMARY AA ALL NULL NULL NULL NULL 11169 Using temporary; Using filesort 1 PRIMARY ALL NULL NULL NULL NULL 681 Using where 1 PRIMARY IA ALL accepted NULL NULL NULL 11967 Using where 2 DERIVED xv_article fulltext topic topic 0 1 Using where; Using temporary; Using filesort This is example server with my data: user: bordeux_4prog password: 4prog phpmyadmin: http://phpmyadmin.bordeux.net/ chive: http://chive.bordeux.net/

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  • Languages and VMs: Features that are hard to optimize and why

    - by mrjoltcola
    I'm doing a survey of features in preparation for a research project. Name a mainstream language or language feature that is hard to optimize, and why the feature is or isn't worth the price paid, or instead, just debunk my theories below with anecdotal evidence. Before anyone flags this as subjective, I am asking for specific examples of languages or features, and ideas for optimization of these features, or important features that I haven't considered. Also, any references to implementations that prove my theories right or wrong. Top on my list of hard to optimize features and my theories (some of my theories are untested and are based on thought experiments): 1) Runtime method overloading (aka multi-method dispatch or signature based dispatch). Is it hard to optimize when combined with features that allow runtime recompilation or method addition. Or is it just hard, anyway? Call site caching is a common optimization for many runtime systems, but multi-methods add additional complexity as well as making it less practical to inline methods. 2) Type morphing / variants (aka value based typing as opposed to variable based) Traditional optimizations simply cannot be applied when you don't know if the type of someting can change in a basic block. Combined with multi-methods, inlining must be done carefully if at all, and probably only for a given threshold of size of the callee. ie. it is easy to consider inlining simple property fetches (getters / setters) but inlining complex methods may result in code bloat. The other issue is I cannot just assign a variant to a register and JIT it to the native instructions because I have to carry around the type info, or every variable needs 2 registers instead of 1. On IA-32 this is inconvenient, even if improved with x64's extra registers. This is probably my favorite feature of dynamic languages, as it simplifies so many things from the programmer's perspective. 3) First class continuations - There are multiple ways to implement them, and I have done so in both of the most common approaches, one being stack copying and the other as implementing the runtime to use continuation passing style, cactus stacks, copy-on-write stack frames, and garbage collection. First class continuations have resource management issues, ie. we must save everything, in case the continuation is resumed, and I'm not aware if any languages support leaving a continuation with "intent" (ie. "I am not coming back here, so you may discard this copy of the world"). Having programmed in the threading model and the contination model, I know both can accomplish the same thing, but continuations' elegance imposes considerable complexity on the runtime and also may affect cache efficienty (locality of stack changes more with use of continuations and co-routines). The other issue is they just don't map to hardware. Optimizing continuations is optimizing for the less-common case, and as we know, the common case should be fast, and the less-common cases should be correct. 4) Pointer arithmetic and ability to mask pointers (storing in integers, etc.) Had to throw this in, but I could actually live without this quite easily. My feelings are that many of the high-level features, particularly in dynamic languages just don't map to hardware. Microprocessor implementations have billions of dollars of research behind the optimizations on the chip, yet the choice of language feature(s) may marginalize many of these features (features like caching, aliasing top of stack to register, instruction parallelism, return address buffers, loop buffers and branch prediction). Macro-applications of micro-features don't necessarily pan out like some developers like to think, and implementing many languages in a VM ends up mapping native ops into function calls (ie. the more dynamic a language is the more we must lookup/cache at runtime, nothing can be assumed, so our instruction mix is made up of a higher percentage of non-local branching than traditional, statically compiled code) and the only thing we can really JIT well is expression evaluation of non-dynamic types and operations on constant or immediate types. It is my gut feeling that bytecode virtual machines and JIT cores are perhaps not always justified for certain languages because of this. I welcome your answers.

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  • Template trick to optimize out allocations

    - by anon
    I have: struct DoubleVec { std::vector<double> data; }; DoubleVec operator+(const DoubleVec& lhs, const DoubleVec& rhs) { DoubleVec ans(lhs.size()); for(int i = 0; i < lhs.size(); ++i) { ans[i] = lhs[i]] + rhs[i]; // assume lhs.size() == rhs.size() } return ans; } DoubleVec someFunc(DoubleVec a, DoubleVec b, DoubleVec c, DoubleVec d) { DoubleVec ans = a + b + c + d; } Now, in the above, the "a + b + c + d" will cause the creation of 3 temporary DoubleVec's -- is there a way to optimize this away with some type of template magic ... i.e. to optimize it down to something equivalent to: DoubleVec ans(a.size()); for(int i = 0; i < ans.size(); i++) ans[i] = a[i] + b[i] + c[i] + d[i]; You can assume all DoubleVec's have the same # of elements. The high level idea is to have do some type of templateied magic on "+", which "delays the computation" until the =, at which point it looks into itself, goes hmm ... I'm just adding thes numbers, and syntheizes a[i] + b[i] + c[i] + d[i] ... instead of all the temporaries. Thanks!

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  • Optimize SQL query (Facebook-like application)

    - by fabriciols
    My application is similar to Facebook, and I'm trying to optimize the query that get user records. The user records are that he as src ou dst. The src is in usermuralentry directly, the dst list are in usermuralentry_user. So, a entry can have one src and many dst. I have those tables: mysql> desc usermuralentry ; +-----------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +-----------------+------------------+------+-----+---------+----------------+ | id | int(11) | NO | PRI | NULL | auto_increment | | user_src_id | int(11) | NO | MUL | NULL | | | private | tinyint(1) | NO | | NULL | | | content | longtext | NO | | NULL | | | date | datetime | NO | | NULL | | | last_update | datetime | NO | | NULL | | +-----------------+------------------+------+-----+---------+----------------+ 10 rows in set (0.10 sec) mysql> desc usermuralentry_user ; +-------------------+---------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +-------------------+---------+------+-----+---------+----------------+ | id | int(11) | NO | PRI | NULL | auto_increment | | usermuralentry_id | int(11) | NO | MUL | NULL | | | userinfo_id | int(11) | NO | MUL | NULL | | +-------------------+---------+------+-----+---------+----------------+ 3 rows in set (0.00 sec) And the following query to retrieve information from two users. mysql> explain SELECT * FROM usermuralentry AS a , usermuralentry_user AS b WHERE a.user_src_id IN ( 1, 2 ) OR ( a.id = b.usermuralentry_id AND b.userinfo_id IN ( 1, 2 ) ); +----+-------------+-------+------+-------------------------------------------------------------------------------------------+------+---------+------+---------+------------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------+------+-------------------------------------------------------------------------------------------+------+---------+------+---------+------------------------------------------------+ | 1 | SIMPLE | b | ALL | usermuralentry_id,usermuralentry_user_bcd7114e,usermuralentry_user_6b192ca7 | NULL | NULL | NULL | 147188 | | | 1 | SIMPLE | a | ALL | PRIMARY | NULL | NULL | NULL | 1371289 | Range checked for each record (index map: 0x1) | +----+-------------+-------+------+-------------------------------------------------------------------------------------------+------+---------+------+---------+------------------------------------------------+ 2 rows in set (0.00 sec) but it is taking A LOT of time... Some tips to optimize? Can the table schema be better in my application?

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  • Mysql table Crashed during Optimize, table repair taking too long

    - by hellohellosharp
    One of my vital tables was being optimzied and MySQL crashed in the middle of it. It then said the table was corrupt. I am running repair but it is taking over an hour, I need this table up ASAP (I will even truncate it if necessary). Please help me get this solved. The table has about 54 million rows. This is a MyISAM. Any additional information needed, just ask. Here are the contents of my my.cnf: [mysqld] max_connections = 850 max_user_connections = 850 query_cache_size = 128M skip-external-locking key_buffer_size = 64M max_allowed_packet = 8M table_open_cache = 256 sort_buffer_size = 4M net_buffer_length = 16K read_buffer_size = 1M read_rnd_buffer_size = 1M myisam_sort_buffer_size = 32M innodb_file_per_table tmp_table_size = 100M max_heap_table_size = 64M thread_cache_size = 8 wait_timeout=25 interactive_timeout=25 table_cache=600 innodb_buffer_pool_size = 4G innodb_thread_concurrency = 8 innodb_flush_method = O_DIRECT # This setting allows the use of asynchronous I/O in InnoDB. # The following files track usage of this resource: # - /proc/sys/fs/aio-max-nr # - /proc/sys/fs/aio-nr # Default limit is 65536, of which a single instance of mysql uses 2661 out of the box innodb_use_native_aio = 1

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  • nginx+php-fpm help optimize configs

    - by Dmitro
    I have 3 servers. First server (CPU - model name: 06/17, 2.66GHz, 4 cores, 8GB RAM) have nginx as load balancer with next config upstream lb_mydomain { server mydomain.ru:81 weight=2; server 66.0.0.18 weight=6; } server { listen 80; server_name ~(?!mydomain.ru)(.*); client_max_body_size 20m; location / { proxy_pass http://lb_mydomain; proxy_redirect off; proxy_set_header Connection close; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_pass_header Set-Cookie; proxy_pass_header P3P; proxy_pass_header Content-Type; proxy_pass_header Content-Disposition; proxy_pass_header Content-Length; } } And configs from nginx.conf: user www-data; worker_processes 5; # worker_priority -1; error_log /var/log/nginx/error.log; pid /var/run/nginx.pid; events { worker_connections 5024; # multi_accept on; } http { include /etc/nginx/mime.types; access_log /var/log/nginx/access.log; sendfile on; default_type application/octet-stream; #tcp_nopush on; keepalive_timeout 65; tcp_nodelay on; gzip on; gzip_disable "MSIE [1-6]\.(?!.*SV1)"; # PHP-FPM (backend) upstream php-fpm { server 127.0.0.1:9000; } include /etc/nginx/conf.d/*.conf; include /etc/nginx/sites-enabled/*; } And config php-fpm: listen = 127.0.0.1:9000 ;listen.backlog = -1 ;listen.allowed_clients = 127.0.0.1 ;listen.owner = www-data ;listen.group = www-data ;listen.mode = 0666 user = www-data group = www-data pm = dynamic pm.max_children = 80 ;pm.start_servers = 20 pm.min_spare_servers = 5 pm.max_spare_servers = 35 ;pm.max_requests = 500 pm.status_path = /status ping.path = /ping ;ping.response = pong request_terminate_timeout = 30s request_slowlog_timeout = 10s slowlog = /var/log/php-fpm.log.slow ;rlimit_files = 1024 ;rlimit_core = 0 ;chroot = chdir = /var/www ;catch_workers_output = yes ;env[HOSTNAME] = $HOSTNAME ;env[PATH] = /usr/local/bin:/usr/bin:/bin ;env[TMP] = /tmp ;env[TMPDIR] = /tmp ;env[TEMP] = /tmp ;php_admin_value[sendmail_path] = /usr/sbin/sendmail -t -i -f [email protected] ;php_flag[display_errors] = off ;php_admin_value[error_log] = /var/log/fpm-php.www.log ;php_admin_flag[log_errors] = on ;php_admin_value[memory_limit] = 32M In top I see 20 php-fpm processes which use from 1% - 15% CPU. So it's have high load averadge: top - 15:36:22 up 34 days, 20:54, 1 user, load average: 5.98, 7.75, 8.78 Tasks: 218 total, 1 running, 217 sleeping, 0 stopped, 0 zombie Cpu(s): 34.1%us, 3.2%sy, 0.0%ni, 37.0%id, 24.8%wa, 0.0%hi, 0.9%si, 0.0%st Mem: 8183228k total, 7538584k used, 644644k free, 351136k buffers Swap: 9936892k total, 14636k used, 9922256k free, 990540k cached Second server(CPU - model name: Intel(R) Xeon(R) CPU E5504 @ 2.00GHz, 8 cores, 8GB RAM). Nginx configs from nginx.conf: user www-data; worker_processes 5; # worker_priority -1; error_log /var/log/nginx/error.log; pid /var/run/nginx.pid; events { worker_connections 5024; # multi_accept on; } http { include /etc/nginx/mime.types; access_log /var/log/nginx/access.log; sendfile on; default_type application/octet-stream; #tcp_nopush on; keepalive_timeout 65; tcp_nodelay on; gzip on; gzip_disable "MSIE [1-6]\.(?!.*SV1)"; # PHP-FPM (backend) upstream php-fpm { server 127.0.0.1:9000; } include /etc/nginx/conf.d/*.conf; include /etc/nginx/sites-enabled/*; } And config of php-fpm: listen = 127.0.0.1:9000 ;listen.backlog = -1 ;listen.allowed_clients = 127.0.0.1 ;listen.owner = www-data ;listen.group = www-data ;listen.mode = 0666 user = www-data group = www-data pm = dynamic pm.max_children = 50 ;pm.start_servers = 20 pm.min_spare_servers = 5 pm.max_spare_servers = 35 ;pm.max_requests = 500 ;pm.status_path = /status ;ping.path = /ping ;ping.response = pong ;request_terminate_timeout = 0 ;request_slowlog_timeout = 0 ;slowlog = /var/log/php-fpm.log.slow ;rlimit_files = 1024 ;rlimit_core = 0 ;chroot = chdir = /var/www ;catch_workers_output = yes ;env[HOSTNAME] = $HOSTNAME ;env[PATH] = /usr/local/bin:/usr/bin:/bin ;env[TMP] = /tmp ;env[TMPDIR] = /tmp ;env[TEMP] = /tmp ;php_admin_value[sendmail_path] = /usr/sbin/sendmail -t -i -f [email protected] ;php_flag[display_errors] = off ;php_admin_value[error_log] = /var/log/fpm-php.www.log ;php_admin_flag[log_errors] = on ;php_admin_value[memory_limit] = 32M In top I see 50 php-fpm processes which use from 10% - 25% CPU. So it's have high load averadge: top - 15:53:05 up 33 days, 1:15, 1 user, load average: 41.35, 40.28, 39.61 Tasks: 239 total, 40 running, 199 sleeping, 0 stopped, 0 zombie Cpu(s): 96.5%us, 3.1%sy, 0.0%ni, 0.0%id, 0.0%wa, 0.0%hi, 0.4%si, 0.0%st Mem: 8185560k total, 7804224k used, 381336k free, 161648k buffers Swap: 19802108k total, 16k used, 19802092k free, 5068112k cached Third server is server with database postgresql. Also i try ab -n 50 -c 5 http://www.mydomain.ru/ And I get next info: Complete requests: 50 Failed requests: 48 (Connect: 0, Receive: 0, Length: 48, Exceptions: 0) Write errors: 0 Total transferred: 9271367 bytes HTML transferred: 9247767 bytes Requests per second: 1.02 [#/sec] (mean) Time per request: 4882.427 [ms] (mean) Time per request: 976.486 [ms] (mean, across all concurrent requests) Transfer rate: 185.44 [Kbytes/sec] received Please advise how can I make lower level of load average?

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  • Optimize shell and awk script

    - by bryan
    I am using a combination of a shell script, awk script and a find command to perform multiple text replacements in hundreds of files. The files sizes vary between a few hundred bytes and 20 kbytes. I am looking for a way to speed up this script. I am using cygwin. The shell script - #!/bin/bash if [ $# = 0 ]; then echo "Argument expected" exit 1 fi while [ $# -ge 1 ] do if [ ! -f $1 ]; then echo "No such file as $1" exit 1 fi awk -f ~/scripts/parse.awk $1 > ${1}.$$ if [ $? != 0 ]; then echo "Something went wrong with the script" rm ${1}.$$ exit 1 fi mv ${1}.$$ $1 shift done The awk script (simplified) - #! /usr/bin/awk -f /HHH.Web/{ if ( index($0,"Email") == 0) { sub(/HHH.Web/,"HHH.Web.Email"); } printf("%s\r\n",$0); next; } The command line find . -type f | xargs ~/scripts/run_parser.sh

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  • How to optimize sandboxie for faster application loading

    - by user23950
    I'm referring to this one: http://www.sandboxie.com/index.php?DownloadSandboxie Do you know of any alternatives that might be better than this software. And if you don't know of any alternative. Can you show me how can I make it faster to load firefox. Or any other browser. Because it really makes application incredibly slow at loading when you run them inside a sandbox. I've also seen lots from here: http://superuser.com/questions/57129/alternative-to-sandboxie-for-64-bit-systems Do you know of any other?

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  • how to optimize virtual box shared folders

    - by Nrew
    This is really pissing me off. No matter how much memory I put into the guest os(windows xp). It still hangs for about 365 days before you can access the file you want to access from the shared folder. What do I do to make things faster? Because after it hangs and not respond for 365 days. It will do it again for another 250 days. Ive even set the shared folder to permanent. This is a fairly decent machine: 2.50ghz processor(x64 architecture, but I have only 2Gb of memory so my host os is just 32 bit windows 7) hdd has much space left: 156 Gb free of 250Gb

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  • Optimize apache for 10K+ wordpress views a day on 2GB RAM E6500 CPU

    - by Broke artist
    I have a dedicated server with apache/php on ubuntu serving my Wordpress blog with about 10K+ pageviews a day. I have W3TC plug in installed with APC. But every now and then server stop responding or goes dead slow and i have to restart apache to get it back. Heres my config what am i doing wrong? ServerRoot "/etc/apache2" LockFile /var/lock/apache2/accept.lock PidFile ${APACHE_PID_FILE} TimeOut 40 KeepAlive on MaxKeepAliveRequests 200 KeepAliveTimeout 2 StartServers 5 MinSpareServers 5 MaxSpareServers 8 ServerLimit 80 MaxClients 80 MaxRequestsPerChild 1000 StartServers 3 MinSpareServers 3 MaxSpareServers 3 ServerLimit 80 MaxClients 80 MaxRequestsPerChild 1000 StartServers 3 MinSpareServers 3 MaxSpareServers 3 ServerLimit 80 MaxClients 80 MaxRequestsPerChild 1000 User ${APACHE_RUN_USER} Group ${APACHE_RUN_GROUP} AccessFileName .htaccess Order allow,deny Deny from all Satisfy all DefaultType text/plain HostnameLookups Off ErrorLog /var/log/apache2/error.log LogLevel error Include /etc/apache2/mods-enabled/.load Include /etc/apache2/mods-enabled/.conf Include /etc/apache2/httpd.conf Include /etc/apache2/ports.conf LogFormat "%v:%p %h %l %u %t \"%r\" %s %O \"%{Referer}i\" \"%{User-Agent}i\"" vhost_combined LogFormat "%h %l %u %t \"%r\" %s %O \"%{Referer}i\" \"%{User-Agent}i\"" combined LogFormat "%h %l %u %t \"%r\" %s %O" common LogFormat "%{Referer}i - %U" referer LogFormat "%{User-agent}i" agent CustomLog /var/log/apache2/other_vhosts_access.log vhost_combined Include /etc/apache2/conf.d/ Include /etc/apache2/sites-enabled/

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  • optimize mod_rewrite in htaccess

    - by clarkk
    I got some mod_rewrite conditions in a .htaccess file which I have extended from time to time.. But I don't think its very well written (I'm still quite new to mod_rewrite) Some times requests end up in infinite loops And just now I added SSL to the file.. When requesting https:// I get a 404 error The requested URL /_secure/_secure/ was not found on this server. Somehow it adds an extra _secure to the path? .htacces # set language RewriteCond %{HTTP_HOST} ^www\. [NC] RewriteCond %{REQUEST_URI} ^/(da|en)/(.*)(\?%{QUERY_STRING})?$ [NC] RewriteRule ^(.*)$ /%2?%{QUERY_STRING}&set_lang=%1 [L] # put 'www' as subdomain if none is given RewriteCond %{HTTP_HOST} ^([^\.]+\.[^\.]+)$ [NC] RewriteRule ^(.*)$ http://www.%1/$1 [L,R=301] # rewrite subdomain RewriteCond %{HTTP_HOST} ^(admin|files)\.[^\.]+\.[^\.]+$ [NC] RewriteCond %{REQUEST_URI} !^/_(admin|files)/ [NC] RewriteRule ^(.*)$ /_%1/$1 [L] # redirect to subdomain RewriteCond %{HTTP_HOST} ^www\.([^\.]+\.[^\.]+)$ [NC] RewriteRule ^_([^/]+)/ http://$1.%1/ [L,R=301] # start SSL on 'secure' subdomain if not started RewriteCond %{HTTPS} !=on RewriteCond %{HTTP_HOST} ^(secure)\.([^\.]+\.[^\.]+)$ [NC] RewriteRule ^(.*)$ https://%1.%2/$1 [L,R=301] # rewrite 'secure' subdomain RewriteCond %{HTTP_HOST} ^(demo|secure)\.[^\.]+\.[^\.]+$ [NC] RewriteCond %{REQUEST_URI} !^/_secure/ [NC] RewriteRule ^(.*)$ /_secure/$1 [L] # rewrite 'api' subdomain RewriteCond %{HTTP_HOST} ^api\.[^\.]+\.[^\.]+$ [NC] RewriteCond %{REQUEST_URI} !^/_api/ [NC] RewriteRule ^(?:([^/]+)/)?(?:([^/]+)/)?(?:([^/]+)/)?(?:([^/]+)/)?(?:([^/]+)/)?(?:([^/]+)/)? /_api/?%{QUERY_STRING}&v=$1&i=$2&k=$3&a=$4&t=$5&f=$6 [L] # redirect non-active subdomain to 'www' RewriteCond %{HTTP_HOST} !^(admin|api|demo|files|secure|www)\.([^\.]+\.[^\.]+)$ [NC] RewriteRule ^(.*)$ http://www.domain.com [L,R=301] # hide file extensions RewriteCond %{HTTP_HOST} ^www\. [NC] RewriteCond %{REQUEST_FILENAME} !-d RewriteCond %{REQUEST_FILENAME} !\.php$ [NC] RewriteCond %{REQUEST_URI} ^/([^/]*)/(?:([^/]*)/)?(?:([^/]*)/)?$ [NC] RewriteRule ^(.*)$ /%1.php?%{QUERY_STRING}&subpage=%2&subsection=%3 [L]

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  • Neural Net Optimize w/ Genetic Algorithm

    - by ServAce85
    Is a genetic algorithm the most efficient way to optimize the number of hidden nodes and the amount of training done on an artificial neural network? I am coding neural networks using the NNToolbox in Matlab. I am open to any other suggestions of optimization techniques, but I'm most familiar with GA's.

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  • Optimize mysql table ?

    - by fabien-barbier
    Here is my actual table schema (I'm using Mysql) : Table experiment : code(int) sample_1_id sample_2_id ... until ... sample_12_id rna_1_id rna_2_id ... until ... rna_12_id experiment_start How can I optimize both part : sample_n_id and rna_n_id (all are bigint(20) and allow null=true) ? About values : we can have : ex : sample_1_id = 2 , Sample_2_id = 5 , ... Note : values can be updated. Ideas ? Thanks.

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  • Optimize the sql query

    - by joseph
    UPDATE employees SET job_id = (SELECT job_id FROM employees WHERE employee_id = 205), salary = (SELECT salary FROM employees WHERE employee_id = 205) WHERE employee_id = 114; This is the query i have been using. Here i use 2 subqueries but they have the same where condition.. The seek time is doubled.. Is there a way to optimize the whole query to a single subquery? Thanks in advance

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  • Set of Tools to optimize the performance in general of SQL Server

    - by Dave
    Hi, I know there are things out there to help to optimize queries, ect... but is there anything else, something like a full package that can scan your database and highlight all the performance issues, naming conventions, tables not properly normalized, etc? I know this is the job of a DBA and if the DBA is good, he shouldn't need a tool like that, but sometimes you start a new job, you get in charge of an existing database and the DB is a mess, so you don't know where to start... Thanks to everyone Dave

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  • Optimize MYSQL Query with Order by

    - by Victor
    Hello, I have seen mysql queries with order by runs slow. Is there any specific way to optimize queries which use order by ? Queries without order by run very fast but with order by its always runs slow. if any one suggest any thing on this as general solutions. Thank You

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  • Benefits of 'Optimize code' option in Visual Studio build

    - by gt
    Much of our C# release code is built with the 'Optimize code' option turned off. I believe this is to allow code built in Release mode to be debugged more easily. Given that we are creating fairly simple desktop software which connects to backend Web Services, (ie. not a particularly processor-intensive application) then what if any sort of performance hit might be expected? And is any particular platform likely to be worse affected? Eg. multi-processor / 64 bit.

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  • Optimize "not in" query

    - by Vasu
    Please help optimize this query: SELECT ts.SiteId, COUNT(ts.SiteId) AS Count FROM ts WHERE ts.SiteId not in (SELECT ts.SiteId FROM ts WHERE ts.uniqueid = 'xxx') GROUP BY ts.SiteId ORDER BY Count DESC

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  • How to optimize class for viewstate

    - by Jeremy
    If I have an object I need to store in viewstate, what kinds of things can I do to optimize the size it takes to store the object? Obviously storing the least amount of data will take less space, but aside from that, are there ways to architect the class, properties, attrbutes etc, that will effect how large the serialized output is?

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  • how to optimize this query?

    - by jest
    hi! the query is: select employee_id, last_name, salary, round((salary+(salary*0.15)), 0) as NewSalary, (round((salary+(salary*0.15)), 0) - salary) as “IncreaseAmount” from employees; can i optimize this round((salary+(salary*0.15)), 0) part in anyway, so that it doesn't appear twice..i tried giving it an alias but didn't work :(

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  • How optimize by lambda expression

    - by simply denis
    I have a very similar function is only one previous report and the other future, how can I optimize and write beautiful? public bool AnyPreviousReportByGroup(int groupID) { if(this.GroupID == groupID) { return true; } else { return PreviousReport.AnyPreviousReportByGroup(groupID); } } public bool AnyNextReportByGroup(int groupID) { if (this.GroupID == groupID) { return true; } else { return NextReport.AnyNextReportByGroup(groupID); } }

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