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  • Cant get php script to connect to asterisk internal mysql database

    - by Bilbo
    Im trying to get a PHP script to connect to Asterisks internal sql database. I tried the to use the standard method for example $con = mysqli_connect("192.168.1.126","root","mysql","asterisk"); However when I log into the asterisk server to access the mysql database all i need it to type "mysql" and im logged in. Im wondering is it possible for my php script to connect to asterisk internal database. //edit The following mysql error is shown Warning: mysqli_connect(): (HY000/2003): Can't connect to MySQL server on '192.168.1.126' (111) in /var/www/html/project/sipSubScript.php on line 6 Failed to connect to MySQL: Can't connect to MySQL server on '192.168.1.126' (111)

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  • problem with MySQL installation : template configuration file cannot be found

    - by user35389
    Trying to install MySQL onto the Windows XP machine. While going through the installation steps (in the "MySQL Server Instance Config. Wizard"), I get to a point where it the window reads: MySQL Server Instance Configuration (bold header) Choose the configuration for the server instance. Ready to execute... o Prepare configuration o Write configuration file o Start service o Apply security settings (this line is greyed out) Please press [Execute] to start the configuration. [ Back ] [ Execute ] [ Cancel ] So I press execute, and then a red X appears in the second step: Write configuration file and at the bottom, where it originally said: Please press [Execute] to start the configuration. It now says: The template configuration file cannot be found at C:\Program Files\MySQL\MySQL Server 5.0\bin\my-template.cnf I'm unsure what it means, but I canceled the config wizard and looked in the directory that had been created (C:\Program Files\MySQL\MySQL Server 5.0). There are some configuration settings files, and there are 4 folders: bin data Docs share

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  • MySQL replication/connection failing over SSL

    - by Marcel Tjandraatmadja
    I set up two MySQL servers where one is replicating from the other. They both work perfectly, but once I turn on SSL I get the following error: ERROR 2026 (HY000): SSL connection error I get the same error running from command line like so: mysql --ssl=1 --ssl-ca=/etc/mysql/certificates/ca-cert.pem --ssl-cert=/etc/mysql/certificates/client-cert.pem --ssl-key=/etc/mysql/certificates/client-key.pem --user=slave --password=slavepassword --host=master.url.com Both MySQL servers are running on version 5.0.77. There is a difference that MySQL in the master server was compiled under x86_64 while in the slave server under i686. Also both machines are running CentOS 5. Plus I generated certificates as per this page. Any idea for finding a solution?

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  • Rails: Can't connect to local MySQL server through socket '/var/run/mysqld/mysqld.sock'

    - by misbehavens
    So I've got a Ruby on Rails application that I am trying to run (in development) on Snow Leopard. I've got it working on my Ubuntu computer, but now I need to get my Snow Leopard environment set up. Originally, I installed the MySQL 2.8.1 Ruby Gem and was running into this issue: uninitialized constant MysqlCompat::MysqlRes But thanks to this tutorial I was able to resolve it by running this command and installing a previous version of the Gem: export ARCHFLAGS="-arch i386 -arch x86_64" ;sudo gem install --no-rdoc --no-ri -v=2.7 mysql -- --with-mysql-dir=/usr/local/mysql --with-mysql-config=/usr/local/mysql/bin/mysql_config Now that I've resolved that issue, I'm running into a different error: Can't connect to local MySQL server through socket '/var/run/mysqld/mysqld.sock' This happens when I try to run rake db:migrate as well as when the server is running. How can I resolve this issue?

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  • Troubleshooting MySQL : can connect to localhost but not to 127.0.0.1 or IP

    - by mireille raad
    Hello, I'd appreciate some help on this, it is bit tricky to find the correct keywords to google :) Using PHP i am able to connect using the following connection string : $link = mysql_connect('localhost', 'wlek' , 'wlek'); but when i use 127.0.0.1 or 10.10.40.15 (self-IP), i am getting connection failed Could not connect: Can't connect to MySQL server on '10.10.40.15' (13) I used yum install mysql , yum install php yum install php-mysql 1 - is there anything more i should install for php ? 2 - any troubleshooting tips ? 3 - what keywords, links do u recommend | % | mir | xdb | | 10.10.40.15 | mir | xdb | | localhost | mir | xdb | [mysqld] datadir=/var/lib/mysql socket=/var/lib/mysql/mysql.sock user=mysql port=3306 bind-address=0.0.0.0 old_passwords=1 [mysqld_safe] log-error=/var/log/mysqld.log pid-file=/var/run/mysqld/mysqld.pid ~ appreciate it :)

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  • Installing isolated instance of MySQL on Windows using silent install with .msi

    - by Abram
    I'm trying to write an installer for an internal application we wrote. After it installs our application it then installs MySQL using the .msi installer in silent mode. I specify the install dir and data dir to that of a directory within my application's install directory, such as: msiexec /i @@MYSQL_INSTALLER_FILE@@ /qn INSTALLDIR="@@INSTALL_DIR@@\MySQL\" DATADIR="@@INSTALL_DIR@@\MySQL\" USERNAME="@@DB_USER@@" PASSWORD="@@DB_PASS@@" (the @@variable@@'s are replace by my installer routine using InstallJammer) Once installed, I use mysqld.exe to install a windows service with a custom service name and defaults file like so: mysqld.exe --install CustomMySQL --defaults-file="@@INSTALL_DIR@@\MySQL\my.ini" This works fine as long as there is not already another instance of MySQL installed. If there is it silently fails to install MySQL. Running the msi installer manually (double-click) shows an error that a previous version is already installed and just aborts. Is there a way to automate installing MySQL as an isolated instance, regardless of whether another version/instance is already installed?

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  • How to retrieve all MySQL settings?

    - by Max Kielland
    I have a configured MySQL server (MySQL 5.1.47-community) that works perfect. I installed a second server (MySQL 5.5.15-community) to see if the new version of MySQL would work with my application before upgrading. When I run the application against the new server it behaves different. When I run it against the old server (MySQL 5.1.47-community) everything works perfect. I remember that I set some parameters through the MySQL prompt to accept larger result set and some other stuff, now I can't remember what I did. So my question is: Is there a way to transfer all the MySQL settings from one server to another? Thanks.

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  • How to retrieve all MySQL settings?

    - by Max Kielland
    I have a configured MySQL server (MySQL 5.1.47-community) that works perfect. I installed a second server (MySQL 5.5.15-community) to see if the new version of MySQL would work with my application before upgrading. When I run the application against the new server it behaves different. When I run it against the old server (MySQL 5.1.47-community) everything works perfect. I remember that I set some parameters through the MySQL prompt to accept larger result set and some other stuff, now I can't remember what I did. So my question is: Is there a way to transfer all the MySQL settings from one server to another? Thanks.

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  • uninstall mysql on linux with plesk

    - by Arsenal
    I'm having trouble uninstalling linux on my centOS 4 that has plesk. I'm actually trying to upgrade my Mysql 4.1 version to Mysql 5.0 using the following command: yum update mysql I get an error list of conflicted files however. When I try to remove mysql 4.1 and perform a clean install but when I use yum remove mysql* It deletes all of its dependencies and appearantly some of these are files needed by plesk, which causes my plesk to stop working. A did a full restore and everything is okay now, but how can I remove mysql without ruining plesk? I have also tried: rpm -qa | grep mysql to get a list of all files and remove them one by one, but there's a duplicate in that list, so I can't delete those (because it says it doesn't know which one to take). Any help would be greatly appreciated!

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  • Creepy MySQL error during hard work

    - by Kiewic
    Hi, I have a MySQL database installed on a OpenSuse 11.1 server (it is a Bitnami image). The database works fine, it can stay many days without any error, but when MySQL receives a huge amount of transactions, it dies immediately. The next screen shows the error: Moreover, I don't know how to restart MySQL. I have tried this: /opt/bitnami/mysql/bin/mysqld start But it doesn't work, that gives me the next output: 110209 17:09:01 [ERROR] Fatal error: Please read "Security" section of the manual to find out how to run mysqld as root! 110209 17:09:01 [ERROR] Aborting 110209 17:09:01 [Note] /opt/bitnami/mysql/bin/mysqld.bin: Shutdown complete It doesn't matter which kind of statements are executing, if they are a huge amount, MySQL dies. The MySQL server version is 5.1.30 What can be causing these sudden failures?

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  • unable to install mysql completely on debian 5.0

    - by austin powers
    hi, its been a couple of days that I'm trying to install mysql on my vps which has debian 5.0 with 256mb ram. I've installed webmin also. here is the symptoms : after installing mysql using either webmin or apt-get I am trying to connect to mysql for changing root password but every time I cope with this error : ERROR 1045 (28000): Access denied for user 'root'@'localhost' (using password: YES) so I start to investigate and I understand there is no root user inside mysql database when I use : UPDATE user SET password=PASSWORD('newpassword') WHERE user="root"; it says 0 row affected I reinstall mysql for several times but the same problem still exits. please help me how can I install mysql-server as well as mysql-client correctly. regards.

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  • problem with MySQL installation : template configuration file cannot be found

    - by user35389
    Trying to install MySQL onto the Windows XP machine. While going through the installation steps (in the "MySQL Server Instance Config. Wizard"), I get to a point where it the window reads: MySQL Server Instance Configuration (bold header) Choose the configuration for the server instance. Ready to execute... o Prepare configuration o Write configuration file o Start service o Apply security settings (this line is greyed out) Please press [Execute] to start the configuration. [ Back ] [ Execute ] [ Cancel ] So I press execute, and then a red X appears in the second step: Write configuration file and at the bottom, where it originally said: Please press [Execute] to start the configuration. It now says: The template configuration file cannot be found at C:\Program Files\MySQL\MySQL Server 5.0\bin\my-template.cnf I'm unsure what it means, but I canceled the config wizard and looked in the directory that had been created (C:\Program Files\MySQL\MySQL Server 5.0). There are some configuration settings files, and there are 4 folders: bin data Docs share

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  • MySQL Cluster Failover doesn't work

    - by Lukasz
    I have two servers, where First server 10.100.15.150: 1. one mgm server 2. one ndbd 3. one mysql api Second server 10.100.15.160: 1. one ndbd 2. one mysql api When i start all 'parts' of cluster it looks : Cluster Configuration [ndbd(NDB)] 2 node(s) id=21 @10.100.15.150 (mysql-5.1.56 ndb-7.1.17, Nodegroup: 0) id=22 @10.100.15.160 (mysql-5.1.56 ndb-7.1.17, Nodegroup: 0, Master) [ndb_mgmd(MGM)] 1 node(s) id=3 @10.100.15.150 (mysql-5.1.56 ndb-7.1.17) [mysqld(API)] 2 node(s) id=11 @10.100.15.150 (mysql-5.1.56 ndb-7.1.17) id=12 @10.100.15.160 (mysql-5.1.56 ndb-7.1.17) When i shutdown first machine - 10.100.15.150, on second the nbdb process also has been shutdown so i cannot use this data node and cluster fail ... How i must configure this cluster to get FailOver working ? Thx

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  • Installing isolated instance of MySQL on Windows using silent install with .msi

    - by Abram
    I'm trying to write an installer for an internal application we wrote. After it installs our application it then installs MySQL using the .msi installer in silent mode. I specify the install dir and data dir to that of a directory within my application's install directory, such as: msiexec /i @@MYSQL_INSTALLER_FILE@@ /qn INSTALLDIR="@@INSTALL_DIR@@\MySQL\" DATADIR="@@INSTALL_DIR@@\MySQL\" USERNAME="@@DB_USER@@" PASSWORD="@@DB_PASS@@" (the @@variable@@'s are replace by my installer routine using InstallJammer) Once installed, I use mysqld.exe to install a windows service with a custom service name and defaults file like so: mysqld.exe --install CustomMySQL --defaults-file="@@INSTALL_DIR@@\MySQL\my.ini" This works fine as long as there is not already another instance of MySQL installed. If there is it silently fails to install MySQL. Running the msi installer manually (double-click) shows an error that a previous version is already installed and just aborts. Is there a way to automate installing MySQL as an isolated instance, regardless of whether another version/instance is already installed?

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  • Why can't I install MySQL on my computer?

    - by Bea
    I have read a lot of tutorials, but I am still having problems. What I tried: I downloaded mysql-5.5.9-winx64. All that I read says that I can run Setup.exe, but there is no such file in the download. The other option I know there is, is including \mysql-5.5.9-winx64\bin in the PATH variable and then trying to execute the mysql command. When I do that, the error I get is: ERROR 2003 (HY000): Can't connect to MySQL server on 'localhost' (10061) I then downloaded mysql-5.5.9-winx64.msi, which is easier to install, but once I followed the instructions and it was installed, I got the same error executing the mysql command. How can I use MySQL? EDIT: I've now removed everything I installed, and I want to start from scratch.

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  • getting rid of filesort on WordPress MySQL query

    - by Hans
    An instance of WordPress that I manage goes down about once a day due to this monster MySQL query taking far too long: SELECT SQL_CALC_FOUND_ROWS distinct wp_posts.* FROM wp_posts LEFT JOIN wp_term_relationships ON (wp_posts.ID = wp_term_relationships.object_id) LEFT JOIN wp_term_taxonomy ON wp_term_taxonomy.term_taxonomy_id = wp_term_relationships.term_taxonomy_id LEFT JOIN wp_ec3_schedule ec3_sch ON ec3_sch.post_id=id WHERE 1=1 AND wp_posts.ID NOT IN ( SELECT tr.object_id FROM wp_term_relationships AS tr INNER JOIN wp_term_taxonomy AS tt ON tr.term_taxonomy_id = tt.term_taxonomy_id WHERE tt.taxonomy = 'category' AND tt.term_id IN ('1050') ) AND wp_posts.post_type = 'post' AND (wp_posts.post_status = 'publish') AND NOT EXISTS (SELECT * FROM wp_term_relationships JOIN wp_term_taxonomy ON wp_term_taxonomy.term_taxonomy_id = wp_term_relationships.term_taxonomy_id WHERE wp_term_relationships.object_id = wp_posts.ID AND wp_term_taxonomy.taxonomy = 'category' AND wp_term_taxonomy.term_id IN (533,3567) ) AND ec3_sch.post_id IS NULL GROUP BY wp_posts.ID ORDER BY wp_posts.post_date DESC LIMIT 0, 10; What do I have to do to get rid of the very slow filesort? I would think that the multicolumn type_status_date index would be fast enough. The EXPLAIN EXTENDED output is below. +----+--------------------+-----------------------+--------+-----------------------------------+------------------+---------+---------------------------------------------------------------------------------+------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+--------------------+-----------------------+--------+-----------------------------------+------------------+---------+---------------------------------------------------------------------------------+------+----------------------------------------------+ | 1 | PRIMARY | wp_posts | ref | type_status_date | type_status_date | 124 | const,const | 7034 | Using where; Using temporary; Using filesort | | 1 | PRIMARY | wp_term_relationships | ref | PRIMARY | PRIMARY | 8 | bwog_wordpress_w.wp_posts.ID | 373 | Using index | | 1 | PRIMARY | wp_term_taxonomy | eq_ref | PRIMARY | PRIMARY | 8 | bwog_wordpress_w.wp_term_relationships.term_taxonomy_id | 1 | Using index | | 1 | PRIMARY | ec3_sch | ref | post_id_index | post_id_index | 9 | bwog_wordpress_w.wp_posts.ID | 1 | Using where; Using index | | 3 | DEPENDENT SUBQUERY | wp_term_taxonomy | range | PRIMARY,term_id_taxonomy,taxonomy | term_id_taxonomy | 106 | NULL | 2 | Using where | | 3 | DEPENDENT SUBQUERY | wp_term_relationships | eq_ref | PRIMARY,term_taxonomy_id | PRIMARY | 16 | bwog_wordpress_w.wp_posts.ID,bwog_wordpress_w.wp_term_taxonomy.term_taxonomy_id | 1 | Using index | | 2 | DEPENDENT SUBQUERY | tt | const | PRIMARY,term_id_taxonomy,taxonomy | term_id_taxonomy | 106 | const,const | 1 | | | 2 | DEPENDENT SUBQUERY | tr | eq_ref | PRIMARY,term_taxonomy_id | PRIMARY | 16 | func,const | 1 | Using index | +----+--------------------+-----------------------+--------+-----------------------------------+------------------+---------+---------------------------------------------------------------------------------+------+----------------------------------------------+ 8 rows in set, 2 warnings (0.05 sec) And CREATE TABLE: CREATE TABLE `wp_posts` ( `ID` bigint(20) unsigned NOT NULL auto_increment, `post_author` bigint(20) unsigned NOT NULL default '0', `post_date` datetime NOT NULL default '0000-00-00 00:00:00', `post_date_gmt` datetime NOT NULL default '0000-00-00 00:00:00', `post_content` longtext NOT NULL, `post_title` text NOT NULL, `post_excerpt` text NOT NULL, `post_status` varchar(20) NOT NULL default 'publish', `comment_status` varchar(20) NOT NULL default 'open', `ping_status` varchar(20) NOT NULL default 'open', `post_password` varchar(20) NOT NULL default '', `post_name` varchar(200) NOT NULL default '', `to_ping` text NOT NULL, `pinged` text NOT NULL, `post_modified` datetime NOT NULL default '0000-00-00 00:00:00', `post_modified_gmt` datetime NOT NULL default '0000-00-00 00:00:00', `post_content_filtered` text NOT NULL, `post_parent` bigint(20) unsigned NOT NULL default '0', `guid` varchar(255) NOT NULL default '', `menu_order` int(11) NOT NULL default '0', `post_type` varchar(20) NOT NULL default 'post', `post_mime_type` varchar(100) NOT NULL default '', `comment_count` bigint(20) NOT NULL default '0', `robotsmeta` varchar(64) default NULL, PRIMARY KEY (`ID`), KEY `post_name` (`post_name`), KEY `type_status_date` (`post_type`,`post_status`,`post_date`,`ID`), KEY `post_parent` (`post_parent`), KEY `post_date` (`post_date`), FULLTEXT KEY `post_related` (`post_title`,`post_content`) )

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  • Mysql: how to extract multiple text files from my mysql table

    - by Patrick
    hi, I need to extract data from my mysql database into multiple text files. I have a table with 4 columns: UserID, UserName, Tag, Score. I need to create a text file for each Tag, with the userID, the userName and score (ordered by score) i.e. Tag1.txt 234922 John 35 234294 David 205 392423 Patrick 21 Tag2.txt 234922 John 35 234294 David 205 392423 Patrick 21 and so on... Edited: Sample: http://dl.dropbox.com/u/72686/expertsTable.png thanks

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  • combining two select statements to return one result

    - by DalivDali
    I need to combine the results for two select queries from two view tables, from which I am performing calculations. Perhaps there is an easier way to perform a query using if...else - any pointers? Essentially I need to divide everything by 'ar.time_ratio' under the condition in sql query 1, and ignore that for query 2. SELECT gs.traffic_date, gs.domain_group, gs.clicks/ar.time_ratio as 'Scaled_clicks', gs.visitors/ar.time_ratio as 'scaled_visitors', gs.revenue/ar.time_ratio as 'scaled_revenue', (gs.revenue/gs.clicks)/ar.time_ratio as 'scaled_average_cpc', (gs.clicks)/(gs.visitors)/ar.time_ratio as 'scaled_ctr', gs.average_rpm/ar.time_ratio as 'scaled_rpm', (((gs.revenue)/(gs.visitors))/ar.time_ratio)*1000 as "Ecpm" FROM group_stats gs, v_active_ratio ar WHERE ar.group_id=gs.domain_group and SELECT gs.traffic_date, gs.domain_group, gs.clicks, gs.visitors, gs.revenue, (gs.revenue/gs.clicks) as 'average_cpc', (gs.clicks)/(gs.visitors) as 'average_ctr', gs.average_rpm, ((gs.revenue)/(gs.visitors))*1000 as "Ecpm" FROM group_stats gs, v_active_ratio ar where not ar.group_id=gs.domain_group

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  • SELECT INTO or Stored Procedure?

    - by Kerry
    Would this be better as a stored procedure or leave it as is? INSERT INTO `user_permissions` ( `user_id`, `object_id`, `type`, `view`, `add`, `edit`, `delete`, `admin`, `updated_by_user_id` ) SELECT `user_id`, $object_id, '$type', 1, 1, 1, 1, 1, $user_id FROM `user_permissions` WHERE `object_id` = $object_id_2 AND `type` = '$type_2' AND `admin` = 1 You can think of this with different objects, lets say you have groups and subgroups. If someone creates a subgroup, it is making everyone who had access to the parent group now also have access to the subgroup. I've never made a stored procedure before, but this looks like it might be time. This call be probably be called very often. Should I be creating a procedure or will the performance be insignificant?

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  • Date range/query problem..

    - by Simon
    Am hoping someone can help me out a bit with date ranges... I have a table with 3 fields id, datestart, dateend I need to query this to find out if a pair of dates from a form are conflicting i.e table entry 1, 2010-12-01, 2010-12-09 from the form 2010-12-08, 20-12-15 select id from date_table where '2010-12-02' between datestart and dateend; That returns me the id that I want, but what I would like to do is to take the date range from the form and do a query similar to what I have got that will take both form dates 2010-12-08, 20-12-15 and query the db to ensure that there is no conflicting date ranges in the table. Am sat scratching my head with the problem... TIA

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  • mysql_connect VS mysql_pconnect

    - by rogeriopvl
    I have this doubt, I've searched the web and the answers seem to be diversified. Is it better to use mysql_pconnect over mysql_connect when connecting to a database via PHP? I read that pconnect scales much better, but on the other hand, being a persistent connection... having 10 000 connections at the same time, all persistent, doesn't seem scalable to me. Thanks in advance.

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  • mySQL Optimization Suggestions

    - by Brian Schroeter
    I'm trying to optimize our mySQL configuration for our large Magento website. The reason I believe that mySQL needs to be configured further is because New Relic has shown that our SELECT queries are taking a long time (20,000+ ms) in some categories. I ran MySQLTuner 1.3.0 and got the following results... (Disclaimer: I restarted mySQL earlier after tweaking some settings, and so the results here may not be 100% accurate): >> MySQLTuner 1.3.0 - Major Hayden <[email protected]> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run with '--help' for additional options and output filtering [OK] Currently running supported MySQL version 5.5.37-35.0 [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: +ARCHIVE +BLACKHOLE +CSV -FEDERATED +InnoDB +MRG_MYISAM [--] Data in MyISAM tables: 7G (Tables: 332) [--] Data in InnoDB tables: 213G (Tables: 8714) [--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 17) [--] Data in MEMORY tables: 0B (Tables: 353) [!!] Total fragmented tables: 5492 -------- Security Recommendations ------------------------------------------- [!!] User '@host5.server1.autopartsnetwork.com' has no password set. [!!] User '@localhost' has no password set. [!!] User 'root@%' has no password set. -------- Performance Metrics ------------------------------------------------- [--] Up for: 5h 3m 4s (5M q [317.443 qps], 42K conn, TX: 18B, RX: 2B) [--] Reads / Writes: 95% / 5% [--] Total buffers: 35.5G global + 184.5M per thread (1024 max threads) [!!] Maximum possible memory usage: 220.0G (174% of installed RAM) [OK] Slow queries: 0% (6K/5M) [OK] Highest usage of available connections: 5% (61/1024) [OK] Key buffer size / total MyISAM indexes: 512.0M/3.1G [OK] Key buffer hit rate: 100.0% (102M cached / 45K reads) [OK] Query cache efficiency: 66.9% (3M cached / 5M selects) [!!] Query cache prunes per day: 3486361 [OK] Sorts requiring temporary tables: 0% (0 temp sorts / 812K sorts) [!!] Joins performed without indexes: 1328 [OK] Temporary tables created on disk: 11% (126K on disk / 1M total) [OK] Thread cache hit rate: 99% (61 created / 42K connections) [!!] Table cache hit rate: 19% (9K open / 49K opened) [OK] Open file limit used: 2% (712/25K) [OK] Table locks acquired immediately: 100% (5M immediate / 5M locks) [!!] InnoDB buffer pool / data size: 32.0G/213.4G [OK] InnoDB log waits: 0 -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance MySQL started within last 24 hours - recommendations may be inaccurate Reduce your overall MySQL memory footprint for system stability Enable the slow query log to troubleshoot bad queries Increasing the query_cache size over 128M may reduce performance Adjust your join queries to always utilize indexes Increase table_cache gradually to avoid file descriptor limits Read this before increasing table_cache over 64: http://bit.ly/1mi7c4C Variables to adjust: *** MySQL's maximum memory usage is dangerously high *** *** Add RAM before increasing MySQL buffer variables *** query_cache_size (> 512M) [see warning above] join_buffer_size (> 128.0M, or always use indexes with joins) table_cache (> 12288) innodb_buffer_pool_size (>= 213G) My my.cnf configuration is as follows... [client] port = 3306 [mysqld_safe] nice = 0 [mysqld] tmpdir = /var/lib/mysql/tmp user = mysql port = 3306 skip-external-locking character-set-server = utf8 collation-server = utf8_general_ci event_scheduler = 0 key_buffer = 512M max_allowed_packet = 64M thread_stack = 512K thread_cache_size = 512 sort_buffer_size = 24M read_buffer_size = 8M read_rnd_buffer_size = 24M join_buffer_size = 128M # for some nightly processes client sessions set the join buffer to 8 GB auto-increment-increment = 1 auto-increment-offset = 1 myisam-recover = BACKUP max_connections = 1024 # max connect errors artificially high to support behaviors of NetScaler monitors max_connect_errors = 999999 concurrent_insert = 2 connect_timeout = 5 wait_timeout = 180 net_read_timeout = 120 net_write_timeout = 120 back_log = 128 # this table_open_cache might be too low because of MySQL bugs #16244691 and #65384) table_open_cache = 12288 tmp_table_size = 512M max_heap_table_size = 512M bulk_insert_buffer_size = 512M open-files-limit = 8192 open-files = 1024 query_cache_type = 1 # large query limit supports SOAP and REST API integrations query_cache_limit = 4M # larger than 512 MB query cache size is problematic; this is typically ~60% full query_cache_size = 512M # set to true on read slaves read_only = false slow_query_log_file = /var/log/mysql/slow.log slow_query_log = 0 long_query_time = 0.2 expire_logs_days = 10 max_binlog_size = 1024M binlog_cache_size = 32K sync_binlog = 0 # SSD RAID10 technically has a write capacity of 10000 IOPS innodb_io_capacity = 400 innodb_file_per_table innodb_table_locks = true innodb_lock_wait_timeout = 30 # These servers have 80 CPU threads; match 1:1 innodb_thread_concurrency = 48 innodb_commit_concurrency = 2 innodb_support_xa = true innodb_buffer_pool_size = 32G innodb_file_per_table innodb_flush_log_at_trx_commit = 1 innodb_log_buffer_size = 2G skip-federated [mysqldump] quick quote-names single-transaction max_allowed_packet = 64M I have a monster of a server here to power our site because our catalog is very large (300,000 simple SKUs), and I'm just wondering if I'm missing anything that I can configure further. :-) Thanks!

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  • Practical mysql schema advice for eCommerce store - Products & Attributes

    - by Gravy
    I am currently planning my first eCommerce application (mySQL & Laravel Framework). I have various products, which all have different attributes. Describing products very simply, Some will have a manufacturer, some will not, some will have a diameter, others will have a width, height, depth and others will have a volume. Option 1: Create a master products table, and separate tables for specific product types (polymorphic relations). That way, I will not have any unnecessary null fields in the products table. Option 2: Create a products table, with all possible fields despite the fact that there will be a lot of null rows Option 3: Normalise so that each attribute type has it's own table. Option 4: Create an attributes table, as well as an attribute_values table with the value being varchar regardless of the actual data-type. The products table would have a many:many relationship with the attributes table. Option 5: Common attributes to all or most products put in the products table, and specific attributes to a particular category of product attached to the categories table. My thoughts are that I would like to be able to allow easy product filtering by these attributes and sorting. I would also want the frontend to be fast, less concern over the performance of the inserting and updating of product records. Im a bit overwhelmed with the vast implementation options, and cannot find a suitable answer in terms of the best method of approach. Could somebody point me in the right direction? In an ideal world, I would like to offer the following kind of functionality - http://www.glassesdirect.co.uk/products/ to my eCommerce store. As can be seen, in the sidebar, you can select an attribute the glasses to filter them. e.g. male / female or plastic / metal / titanium etc... Alternatively, should I just dump the mySql relational database idea and learn mongodb?

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  • MySQL – Export the Resultset to CSV file

    - by Pinal Dave
    In SQL Server, you can use BCP command to export the result set to a csv file. In MySQL too, You can export data from a table or result set as a csv file in many methods. Here are two methods. Method 1 : Make use of Work Bench If you are using Work Bench as a querying tool, you can make use of it’s Export option in the result window. Run the following code in Work Bench SELECT db_names FROM mysql_testing; The result will be shown in the result windows. There is an option called “File”. Click on it and it will prompt you a window to save the result set (Screen shot attached to show how file option can be used). Choose the directory and type out the name of the file. Method 2 : Make use of OUTFILE command You can do the export using a query with OUTFILE command as shown below SELECT db_names FROM mysql_testing INTO OUTFILE 'C:/testing.csv' FIELDS ENCLOSED BY '"' TERMINATED BY ';' ESCAPED BY '"' LINES TERMINATED BY '\r\n'; After the execution of the above code, you can find a file named testing.csv in C drive of the server. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL Tagged: CSV

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  • MySQL – Introduction to CONCAT and CONCAT_WS functions

    - by Pinal Dave
    MySQL supports two types of concatenation functions. They are CONCAT and CONCAT_WS CONCAT function just concats all the argument values as such SELECT CONCAT('Television','Mobile','Furniture'); The above code returns the following TelevisionMobileFurniture If you want to concatenate them with a comma, either you need to specify the comma at the end of each value, or pass comma as an argument along with the values SELECT CONCAT('Television,','Mobile,','Furniture'); SELECT CONCAT('Television',',','Mobile',',','Furniture'); Both the above return the following Television,Mobile,Furniture However you can omit the extra work by using CONCAT_WS function. It stands for Concatenate with separator. This is very similar to CONCAT function, but accepts separator as the first argument. SELECT CONCAT_WS(',','Television','Mobile','Furniture'); The result is Television,Mobile,Furniture If you want pipeline as a separator, you can use SELECT CONCAT_WS('|','Television','Mobile','Furniture'); The result is Television|Mobile|Furniture So CONCAT_WS is very flexible in concatenating values along with separate. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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