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  • MySQL se tourne encore plus vers InnoDB, qui sera utilisé pour les tables systèmes pour bénéficier des propriétés ACID

    MySQL se tourne encore plus vers InnoDB qui sera utilisé pour les tables systèmes pour bénéficier des propriétés ACID Depuis le rachat de MySQL par Oracle, le célèbre SGBD a entamé une lente transition de son moteur de base de données, passant du moteur d'origine MyISAM qui est basé sur la méthode ISAM (Indexed Sequential Access Methode) à InnoDB. Cette transition s'est d'ailleurs achevée partiellement par l'intronisation d'InnoDB comme moteur par défaut pour les versions de MySQL 5.5 et plus.Partiellement,...

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  • Lots of mysql Sleep processes

    - by user259284
    Hello, I am still having trouble with my mysql server. It seems that since i optimize it, the tables were growing and now sometimes is very slow again. I have no idea of how to optimize more. mySQL server has 48GB of RAM and mysqld is using about 8, most of the tables are innoDB. Site has about 2000 users online. I also run explain on every query and every one of them is indexed. mySQL processes: http://www.pik.ba/mysqlStanje.php my.cnf: # The MySQL database server configuration file. # # You can copy this to one of: # - "/etc/mysql/my.cnf" to set global options, # - "~/.my.cnf" to set user-specific options. # # One can use all long options that the program supports. # Run program with --help to get a list of available options and with # --print-defaults to see which it would actually understand and use. # # For explanations see # http://dev.mysql.com/doc/mysql/en/server-system-variables.html # This will be passed to all mysql clients # It has been reported that passwords should be enclosed with ticks/quotes # escpecially if they contain "#" chars... # Remember to edit /etc/mysql/debian.cnf when changing the socket location. [client] port = 3306 socket = /var/run/mysqld/mysqld.sock # Here is entries for some specific programs # The following values assume you have at least 32M ram # This was formally known as [safe_mysqld]. Both versions are currently parsed. [mysqld_safe] socket = /var/run/mysqld/mysqld.sock nice = 0 [mysqld] # # * Basic Settings # user = mysql pid-file = /var/run/mysqld/mysqld.pid socket = /var/run/mysqld/mysqld.sock port = 3306 basedir = /usr datadir = /var/lib/mysql tmpdir = /tmp language = /usr/share/mysql/english skip-external-locking # # Instead of skip-networking the default is now to listen only on # localhost which is more compatible and is not less secure. bind-address = 10.100.27.30 # # * Fine Tuning # key_buffer = 64M key_buffer_size = 512M max_allowed_packet = 16M thread_stack = 128K thread_cache_size = 8 # This replaces the startup script and checks MyISAM tables if needed # the first time they are touched myisam-recover = BACKUP max_connections = 1000 table_cache = 1000 join_buffer_size = 2M tmp_table_size = 2G max_heap_table_size = 2G innodb_buffer_pool_size = 3G innodb_additional_mem_pool_size = 128M innodb_log_file_size = 100M log-slow-queries = /var/log/mysql/slow.log sort_buffer_size = 5M net_buffer_length = 5M read_buffer_size = 2M read_rnd_buffer_size = 12M thread_concurrency = 10 ft_min_word_len = 3 #thread_concurrency = 10 # # * Query Cache Configuration # query_cache_limit = 1M query_cache_size = 512M # # * Logging and Replication # # Both location gets rotated by the cronjob. # Be aware that this log type is a performance killer. #log = /var/log/mysql/mysql.log # # Error logging goes to syslog. This is a Debian improvement :) # # Here you can see queries with especially long duration #log_slow_queries = /var/log/mysql/mysql-slow.log #long_query_time = 2 #log-queries-not-using-indexes # # The following can be used as easy to replay backup logs or for replication. # note: if you are setting up a replication slave, see README.Debian about # other settings you may need to change. #server-id = 1 #log_bin = /var/log/mysql/mysql-bin.log expire_logs_days = 10 max_binlog_size = 100M #binlog_do_db = include_database_name #binlog_ignore_db = include_database_name # # * BerkeleyDB # # Using BerkeleyDB is now discouraged as its support will cease in 5.1.12. skip-bdb # # * InnoDB # # InnoDB is enabled by default with a 10MB datafile in /var/lib/mysql/. # Read the manual for more InnoDB related options. There are many! # You might want to disable InnoDB to shrink the mysqld process by circa 100MB. #skip-innodb # # * Security Features # # Read the manual, too, if you want chroot! # chroot = /var/lib/mysql/ # # For generating SSL certificates I recommend the OpenSSL GUI "tinyca". # # ssl-ca=/etc/mysql/cacert.pem # ssl-cert=/etc/mysql/server-cert.pem # ssl-key=/etc/mysql/server-key.pem [mysqldump] quick quote-names max_allowed_packet = 16M [mysql] #no-auto-rehash # faster start of mysql but no tab completition [isamchk] key_buffer = 16M # # * NDB Cluster # # See /usr/share/doc/mysql-server-*/README.Debian for more information. # # The following configuration is read by the NDB Data Nodes (ndbd processes) # not from the NDB Management Nodes (ndb_mgmd processes). # # [MYSQL_CLUSTER] # ndb-connectstring=127.0.0.1 # # * IMPORTANT: Additional settings that can override those from this file! # The files must end with '.cnf', otherwise they'll be ignored. # !includedir /etc/mysql/conf.d/

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  • MySQL InnoDB insertion is very slow

    - by dharmapurikar
    We use MySQL server 5.1.43 64-bit edition. InnoDB is used as engine. We have a sql script which we execute every time we build the application. On ubuntu machine with MySQL server and InnoDB engine it takes about 55 seconds to complete the execution. If I run the same script on OSX, it takes close to 3 minutes! Any ideas why OSX is so slow while executing this script?

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  • Creation time of Innodb tables

    - by shantanuo
    CRETAE_TIME column of "TABLES" table from INFORMATION_SCHEMA shows the same CREATE_TIME for all my innodb tables. It means all these tables were created between 2010-03-26 06:52:00 and 2010-03-26 06:53:00 while actually they were created a few months ago. Does the CREATE_TABLE field change automatically for Innodb tables?

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  • Optimal way to make MySQL backups for fairly large databases (MyISAM / InnoDB)

    - by WinkyWolly
    Currently we have one beefy MySQL database that runs a couple of high traffic Django based websites as well as some e-commerce websites of decent size. As a result we have a fair amount of large databases using both InnoDB and MyISAM tables. Unfortunately we've recently hit a wall due to the amount of traffic so I've setup another master server to help alleviate reads / backups. Now at the moment I simply use mysqldump with a few arguments and it's proven to be fine.. until now. Obviously mysqldump is a slow quick method however I believe we've outgrown its use. I now need a good alternative and have been looking into utilizing Maatkits mk-parallel-dump utility or an LVM snapshot solution. Succinct short version: I have a fairly large MySQL databases I need to backup Current method using mysqldump is inefficient and slow (causing issues) Looking into something such as mk-parallel-dump or LVM snapshots Any recommendations or ideas would be appreciated - since I have to re-do how we're doing things I rather have it done properly / most efficient :).

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  • How to improve INSERT INTO ... SELECT locking behavior

    - by Artem
    In our production database, we ran the following pseudo-code SQL batch query running every hour: INSERT INTO TemporaryTable (SELECT FROM HighlyContentiousTableInInnoDb WHERE allKindsOfComplexConditions are true) Now this query itself does not need to be fast, but I noticed it was locking up HighlyContentiousTableInInnoDb, even though it was just reading from it. Which was making some other very simple queries take ~25 seconds (that's how long that other query takes). Then I discovered that InnoDB tables in such a case are actually locked by a SELECT! http://www.mysqlperformanceblog.com/2006/07/12/insert-into-select-performance-with-innodb-tables/ But I don't really like the solution in the article of selecting into an OUTFILE, it seems like a hack (temporary files on filesystem seem sucky). Any other ideas? Is there a way to make a full copy of an InnoDB table without locking it in this way during the copy. Then I could just copy the HighlyContentiousTable to another table and do the query there.

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  • Problems getting foreign keys working in MySQL

    - by thehuby
    I've been trying to get a delete to cascade and it just doesn't seem to work. I'm sure I am missing something obvious, can anyone help me find it? I would expect a delete on the 'articles' table to trigger a delete on the corresponding rows in the 'article_section_lt' table. CREATE TABLE articles ( id INTEGER UNSIGNED PRIMARY KEY AUTO_INCREMENT, url_stub VARCHAR(255) NOT NULL UNIQUE, h1 VARCHAR(60) NOT NULL UNIQUE, title VARCHAR(60) NOT NULL, description VARCHAR(150) NOT NULL, summary VARCHAR(150) NOT NULL DEFAULT "", html_content TEXT, date DATE NOT NULL, updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP )ENGINE=INNODB; CREATE TABLE article_sections ( /* blog, news etc */ id INTEGER UNSIGNED PRIMARY KEY AUTO_INCREMENT, url_stub VARCHAR(255) NOT NULL UNIQUE, h1 VARCHAR(60) NOT NULL, title VARCHAR(60) NOT NULL, description VARCHAR(150) NOT NULL, summary VARCHAR(150) NOT NULL DEFAULT "", html_content TEXT NOT NULL DEFAULT "" )ENGINE=INNODB; CREATE TABLE article_section_lt ( fk_article_id INTEGER UNSIGNED NOT NULL REFERENCES articles(id) ON DELETE CASCADE, fk_article_section_id INTEGER UNSIGNED NOT NULL )ENGINE=INNODB;

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  • MySQL features I can rely on being available

    - by xrstf
    So I'm developing a PHP/MySQL based CMS which requires PHP 5.1 and MySQL 5.0 (with InnoDB support) at least. I'm now wondering what features of MySQL I can safely use without noticing one day that "Oh, well, that crappy hoster has disabled feature X, damn, now I'm screwed." So my question is, which of these features can become problematic (= can be disabled, require special configuration, require user privilege): transactions and FKs in InnoDB (of course unavailable to MyISAM) table locking (MyISAM and InnoDB) stored procedures I just want to know once and for all what's the minimal feature set I can expect from MySQL.

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  • Server Recovery from Denial of Service

    - by JMC
    I'm looking at a server that might be misconfigured to handle Denial of Service. The database was knocked offline after the attack, and was unable to restart itself after it failed to restart when the attack subsided. Details of the Attack: The Attacker either intentionally or unintentionally sent 1000's of search queries using the applications search query url within a couple of seconds. It looks like the server was overwhelmed and it caused the database to log this message: Server Specs: 1.5GB of dedicated memory Are there any obvious mis-configurations here that I'm missing? **mysql.log** 121118 20:28:54 mysqld_safe Number of processes running now: 0 121118 20:28:54 mysqld_safe mysqld restarted 121118 20:28:55 [Warning] option 'slow_query_log': boolean value '/var/log/mysqld.slow.log' wasn't recognized. Set to OFF. 121118 20:28:55 [Note] Plugin 'FEDERATED' is disabled. 121118 20:28:55 InnoDB: The InnoDB memory heap is disabled 121118 20:28:55 InnoDB: Mutexes and rw_locks use GCC atomic builtins 121118 20:28:55 InnoDB: Compressed tables use zlib 1.2.3 121118 20:28:55 InnoDB: Using Linux native AIO 121118 20:28:55 InnoDB: Initializing buffer pool, size = 512.0M InnoDB: mmap(549453824 bytes) failed; errno 12 121118 20:28:55 InnoDB: Completed initialization of buffer pool 121118 20:28:55 InnoDB: Fatal error: cannot allocate memory for the buffer pool 121118 20:28:55 [ERROR] Plugin 'InnoDB' init function returned error. 121118 20:28:55 [ERROR] Plugin 'InnoDB' registration as a STORAGE ENGINE failed. 121118 20:28:55 [ERROR] Unknown/unsupported storage engine: InnoDB 121118 20:28:55 [ERROR] Aborting **ulimit -a** core file size (blocks, -c) 0 data seg size (kbytes, -d) unlimited scheduling priority (-e) 0 file size (blocks, -f) unlimited pending signals (-i) 13089 max locked memory (kbytes, -l) 64 max memory size (kbytes, -m) unlimited open files (-n) 1024 pipe size (512 bytes, -p) 8 POSIX message queues (bytes, -q) 819200 real-time priority (-r) 0 stack size (kbytes, -s) 8192 cpu time (seconds, -t) unlimited max user processes (-u) 1024 virtual memory (kbytes, -v) unlimited file locks (-x) unlimited **httpd.conf** StartServers 10 MinSpareServers 8 MaxSpareServers 12 ServerLimit 256 MaxClients 256 MaxRequestsPerChild 4000 **my.cnf** innodb_buffer_pool_size=512M # Increase Innodb Thread Concurrency = 2 * [numberofCPUs] + 2 innodb_thread_concurrency=4 # Set Table Cache table_cache=512 # Set Query Cache_Size query_cache_size=64M query_cache_limit=2M # A sort buffer is used for optimizing sorting sort_buffer_size=8M # Log slow queries slow_query_log=/var/log/mysqld.slow.log long_query_time=2 #performance_tweak join_buffer_size=2M **php.ini** memory_limit = 128M post_max_size = 8M

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  • Mysql InnoDB and quickly applying large updates

    - by Tim
    Basically my problem is that I have a large table of about 17,000,000 products that I need to apply a bunch of updates to really quickly. The table has 30 columns with the id set as int(10) AUTO_INCREMENT. I have another table which all of the updates for this table are stored in, these updates have to be pre-calculated as they take a couple of days to calculate. This table is in the format of [ product_id int(10), update_value int(10) ]. The strategy I'm taking to issue these 17 million updates quickly is to load all of these updates into memory in a ruby script and group them in a hash of arrays so that each update_value is a key and each array is a list of sorted product_id's. { 150: => [1,2,3,4,5,6], 160: => [7,8,9,10] } Updates are then issued in the format of UPDATE product SET update_value = 150 WHERE product_id IN (1,2,3,4,5,6); UPDATE product SET update_value = 160 WHERE product_id IN (7,8,9,10); I'm pretty sure I'm doing this correctly in the sense that issuing the updates on sorted batches of product_id's should be the optimal way to do it with mysql / innodb. I'm hitting a weird issue though where when I was testing with updating ~13 million records, this only took around 45 minutes. Now I'm testing with more data, ~17 million records and the updates are taking closer to 120 minutes. I would have expected some sort of speed decrease here but not to the degree that I'm seeing. Any advice on how I can speed this up or what could be slowing me down with this larger record set? As far as server specs go they're pretty good, heaps of memory / cpu, the whole DB should fit into memory with plenty of room to grow.

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  • MySQL 5.5.9 Query Cache not working.

    - by thepearson
    I am running MySQL 5.5.9 x86_64 RPM as downloaded from mysql.com. Running on CentOS 5.5 Xen DomU. I have enabled the Query_cache however MySQL NEVER uses it. All of my tables are InnoDB. Why is the Qcache never hit? Here are my settings. mysql> SELECT VERSION(); +-----------+ | VERSION() | +-----------+ | 5.5.9 | +-----------+ 1 row in set (0.00 sec) mysql> SHOW VARIABLES LIKE '%query_cache%'; +------------------------------+-----------+ | Variable_name | Value | +------------------------------+-----------+ | have_query_cache | YES | | query_cache_limit | 2097152 | | query_cache_min_res_unit | 4096 | | query_cache_size | 536870912 | | query_cache_type | ON | | query_cache_wlock_invalidate | OFF | +------------------------------+-----------+ 6 rows in set (0.00 sec) mysql> show status like 'Qcache%'; +-------------------------+-----------+ | Variable_name | Value | +-------------------------+-----------+ | Qcache_free_blocks | 1 | | Qcache_free_memory | 536852824 | | Qcache_hits | 0 | | Qcache_inserts | 0 | | Qcache_lowmem_prunes | 0 | | Qcache_not_cached | 7665775 | | Qcache_queries_in_cache | 0 | | Qcache_total_blocks | 1 | +-------------------------+-----------+ 8 rows in set (0.00 sec)

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  • Should I upgrade memory for my dedicated server?

    - by mc1000
    My memory usage hangs around 25% (swap is generally 1%) on my dedicated server and load is around 2-5. My host recommended that I upgrade from 2GB of ram to 4GB so that I can increase my innodb_buffer from the default 16MB to 2GB. My innodb table size is 2GB. My question is, given that ram usage is 25% does it make sense to upgrade ram? Queries are hanging sometimes, so I'm thinking that a bigger innodb_buffer could decrease load on the database, just not sure if I really need to upgrade my ram first.

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  • MySQL: Creating table with FK error (errno 150)

    - by Peter Bailey
    I've tried searching on this error and nothing I've found helps me, so I apologize in advance if this is a duplicate and I'm just too dumb to find it. I've created a model with MySQL Workbench and am now attempting to install it to a mysql server. Using File Export Forward Engineer SQL CREATE Script... it outputs a nice big file for me, with all the settings I ask for. I switch over to MySQL GUI Tools (the Query Browser specifically) and load up this script (note that I'm going form one official MySQL tool to another). However, when I try to actually execute this file, I get the same error over and over SQLSTATE[HY000]: General error: 1005 Can't create table './srs_dev/location.frm' (errno: 150) "OK", I say to myself, something is wrong with the location table. So I check out the definition in the output file. SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0; SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0; SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='TRADITIONAL'; -- ----------------------------------------------------- -- Table `state` -- ----------------------------------------------------- DROP TABLE IF EXISTS `state` ; CREATE TABLE IF NOT EXISTS `state` ( `state_id` INT NOT NULL AUTO_INCREMENT , `iso_3166_2_code` VARCHAR(2) NOT NULL , `name` VARCHAR(60) NOT NULL , PRIMARY KEY (`state_id`) ) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `brand` -- ----------------------------------------------------- DROP TABLE IF EXISTS `brand` ; CREATE TABLE IF NOT EXISTS `brand` ( `brand_id` INT UNSIGNED NOT NULL AUTO_INCREMENT , `name` VARCHAR(45) NOT NULL , `domain` VARCHAR(45) NOT NULL , `manager_name` VARCHAR(100) NULL , `manager_email` VARCHAR(255) NULL , PRIMARY KEY (`brand_id`) ) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `location` -- ----------------------------------------------------- DROP TABLE IF EXISTS `location` ; CREATE TABLE IF NOT EXISTS `location` ( `location_id` INT UNSIGNED NOT NULL AUTO_INCREMENT , `name` VARCHAR(255) NOT NULL , `address_line_1` VARCHAR(255) NULL , `address_line_2` VARCHAR(255) NULL , `city` VARCHAR(100) NULL , `state_id` TINYINT UNSIGNED NULL DEFAULT NULL , `postal_code` VARCHAR(10) NULL , `phone_number` VARCHAR(20) NULL , `fax_number` VARCHAR(20) NULL , `lat` DECIMAL(9,6) NOT NULL , `lng` DECIMAL(9,6) NOT NULL , `contact_url` VARCHAR(255) NULL , `brand_id` TINYINT UNSIGNED NOT NULL , `summer_hours` VARCHAR(255) NULL , `winter_hours` VARCHAR(255) NULL , `after_hours_emergency` VARCHAR(255) NULL , `image_file_name` VARCHAR(100) NULL , `manager_name` VARCHAR(100) NULL , `manager_email` VARCHAR(255) NULL , `created_date` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP , PRIMARY KEY (`location_id`) , CONSTRAINT `fk_location_state` FOREIGN KEY (`state_id` ) REFERENCES `state` (`state_id` ) ON DELETE NO ACTION ON UPDATE NO ACTION, CONSTRAINT `fk_location_brand` FOREIGN KEY (`brand_id` ) REFERENCES `brand` (`brand_id` ) ON DELETE NO ACTION ON UPDATE NO ACTION) ENGINE = InnoDB; CREATE INDEX `fk_location_state` ON `location` (`state_id` ASC) ; CREATE INDEX `fk_location_brand` ON `location` (`brand_id` ASC) ; CREATE INDEX `idx_lat` ON `location` (`lat` ASC) ; CREATE INDEX `idx_lng` ON `location` (`lng` ASC) ; Looks ok to me. I surmise that maybe something is wrong with the Query Browser, so I put this file on the server and try to load it this way ] mysql -u admin -p -D dbname < path/to/create_file.sql And I get the same error. So I start to Google this issue and find all kinds of accounts that talk about an error with InnoDB style tables that fail with foreign keys, and the fix is to add "SET FOREIGN_KEY_CHECKS=0;" to the SQL script. Well, as you can see, that's already part of the file that MySQL Workbench spat out. So, my question is then, why is this not working when I'm doing what I think I'm supposed to be doing? Version Info: # MySQL: 5.0.45 GUI Tools: 1.2.17 Workbench: 5.0.30

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  • Regular issue with keys on temp tables

    - by Christian
    We run a large forum with lots of reads and writes, particularly to the posts and topics tables which are both innodb. Last week I started doing 12 hourly backups with innobackupex because mysqldump just takes forever (7+ million rows in posts table.) It seems that something doesn't like these backups because I have a recurring problem every other day. The symptoms; The front page of the site starts throwing errors The logs start showing errors like Error: 126 - Incorrect key file for table '/tmp/mysql/#sql_4e87_14.MYI'; try to repair it The /tmp/ dir fills up and we start getting Error: 1030 - Got error 28 from storage engine in the logs. The only way to fix is to optimize table on each of the posts and topics tables. I'm trying all I can to stop MySQL using disks for temp tables, but I'd have more problems than this if it used all my memory also. My my.cnf is here; https://gist.github.com/cbiggins/0aa26f6defb7a14541d7 The box has 32GB memory and I don't come near that usually. Currently at 15GB use. Thanks in advance. Update 1: Despite the conf looking like there is replication, there isn't. This is a stand alone instance.

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  • Optimizing MySQL for ALTER TABLE of InnoDB

    - by schuilr
    Sometime soon we will need to make schema changes to our production database. We need to minimize downtime for this effort, however, the ALTER TABLE statements are going to run for quite a while. Our largest tables have 150 million records, largest table file is 50G. All tables are InnoDB, and it was set up as one big data file (instead of a file-per-table). We're running MySQL 5.0.46 on an 8 core machine, 16G memory and a RAID10 config. I have some experience with MySQL tuning, but this usually focusses on reads or writes from multiple clients. There is lots of info to be found on the Internet on this subject, however, there seems to be very little information available on best practices for (temporarily) tuning your MySQL server to speed up ALTER TABLE on InnoDB tables, or for INSERT INTO .. SELECT FROM (we will probably use this instead of ALTER TABLE to have some more opportunities to speed things up a bit). The schema changes we are planning to do is adding a integer column to all tables and make it the primary key, instead of the current primary key. We need to keep the 'old' column as well so overwriting the existing values is not an option. What would be the ideal settings to get this task done as quick as possible?

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  • mysql foreign key problem.

    - by JP19
    Hi, What is wrong with the foreign key addition here: mysql> create table notes ( id int (11) NOT NULL auto_increment PRIMARY KEY, note_type_id smallint(5) NOT NULL, data TEXT NOT NULL, created_date datetime NOT NULL, modified_date timestamp NOT NULL on update now()) Engine=InnoDB; Query OK, 0 rows affected (0.08 sec) mysql> create table notetypes ( id smallint (5) NOT NULL auto_increment PRIMARY KEY, type varchar(255) NOT NULL UNIQUE) Engine=InnoDB; Query OK, 0 rows affected (0.00 sec) mysql> alter table `notes` add constraint foreign key(`note_type_id`) references `notetypes`.`id` on update cascade on delete restrict; ERROR 1005 (HY000): Can't create table './admin/#sql-43e_b762.frm' (errno: 150) Thanks JP

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  • How to recover a MySQL InnoDB table?

    - by Kau-Boy
    When I try to launch the Plesk administration page of you server I get the following error: ERROR: PleskMainDBException MySQL query failed: MySQL server has gone away The MySQL Server is working well. Although it seems that the plesk database is somehow corrupt and any action on this database results in a restart of the mysql process, so even queries to other databases on the same MySQL server will be lost. If I try to connect to the plesk database using phpMyAdmin, I can only see the number of tables, the database had originally. But I am not able to open the tables listing. As soon as I try it, the mysql process crashes again. Trying to connect to the database using ssh works. I can even run a SELECT statement against any table an get a result. I don't know if it is an plesk error or an error of the psa database or even the MySQL server. Can you give me any tips on how to recover the plesk system. Should I try to repair the Plesk installation before. And if so, how can I do it and will all my settings get lost doing it? EDIT: Trying to dump the database, I get the following error: mysqldump: Got error: 2013: Lost connection to MySQL server during query when using LOCK TABLES EDIT: I could find out, that the table 'data_bases' is responsible for the crash of the MySQL server process. But trying to repair it using a REPAIR TABLE statement doesn't work. EDIT: I now dropped the whole database and restored it from a dump. But why I try to recover the data_bases table I get the following error: ERROR 1005 (HY000) at line 24: Can't create table './psa/data_bases.frm' (errno: 121) I am not able to create the table again. Somewhere in the MySQL system there is still some information about this table. I tested the same thing locally. If I just delete the table files and then try to create the table again I get the same error. If I drop the table through MySQL, I can create the table again afterwards. But trying to drop the table using MySQL the whole MySQL system crashed. Is there any way to solve that issue?

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  • Mysqld shutting down by itself

    - by AJ Naidas
    I'm running a Wordpress Blog that gets medium-high traffic. It is hosted in an Ubuntu Server 2GB Memory 2 Core Processor 40GB SSD Disk, 3TB Transfer. The problem is that MySQL shuts down by itself after an hour or two. I had to restart mysql each and every time this happens. I checked the logs and this is what I found: 140612 6:48:14 [Warning] Using unique option prefix myisam-recover instead of myisam-recover-options is deprecated and will be removed in a future release. Please use the full name instead. 140612 6:48:14 [Note] Plugin 'FEDERATED' is disabled. 140612 6:48:14 InnoDB: The InnoDB memory heap is disabled 140612 6:48:14 InnoDB: Mutexes and rw_locks use GCC atomic builtins 140612 6:48:14 InnoDB: Compressed tables use zlib 1.2.3.4 140612 6:48:14 InnoDB: Initializing buffer pool, size = 1.4G InnoDB: mmap(1502412800 bytes) failed; errno 12 140612 6:48:14 InnoDB: Completed initialization of buffer pool 140612 6:48:14 InnoDB: Fatal error: cannot allocate memory for the buffer pool 140612 6:48:14 [ERROR] Plugin 'InnoDB' init function returned error. 140612 6:48:14 [ERROR] Plugin 'InnoDB' registration as a STORAGE ENGINE failed. 140612 6:48:14 [ERROR] Unknown/unsupported storage engine: InnoDB 140612 6:48:14 [ERROR] Aborting 140612 6:48:14 [Note] /usr/sbin/mysqld: Shutdown complete judging by this line: 140612 6:48:14 InnoDB: Fatal error: cannot allocate memory for the buffer pool I suspect that this is a memory problem, but I would like to hear from the experts here before I conclude. Is this a lack of memory problem? Do you think the value of max_connections in my.cnf (currently 100) is a potential cause and needs increasing? TIA.

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  • cause for mysql crash

    - by user1322092
    A cron job automatically restarted my mysql database. What's the cause for the crash, or can you suggest how to resolve or monitor. I would REALLY appreciate your input. 120715 14:38:58 mysqld started 120715 14:38:58 InnoDB: Started; log sequence number 0 411137570 120715 14:38:58 [Note] /usr/libexec/mysqld: ready for connections. Version: '5.0.95' socket: '/var/lib/mysql/mysql.sock' port: 3306 Source distribution 120715 15:14:21 [Note] /usr/libexec/mysqld: Normal shutdown 120715 15:14:23 InnoDB: Starting shutdown... 120715 15:14:25 InnoDB: Shutdown completed; log sequence number 0 411166467 120715 15:14:25 [Note] /usr/libexec/mysqld: Shutdown complete 120715 08:14:25 mysqld ended 120715 08:14:26 mysqld started 120715 8:14:26 InnoDB: Started; log sequence number 0 411166467 120715 8:14:26 [Note] /usr/libexec/mysqld: ready for connections. Version: '5.0.95' socket: '/var/lib/mysql/mysql.sock' port: 3306 Source distribution 121212 09:15:32 mysqld started InnoDB: The log sequence number in ibdata files does not match InnoDB: the log sequence number in the ib_logfiles! 121212 9:15:58 InnoDB: Database was not shut down normally! InnoDB: Starting crash recovery. InnoDB: Reading tablespace information from the .ibd files... InnoDB: Restoring possible half-written data pages from the doublewrite InnoDB: buffer... 121212 9:17:28 InnoDB: Started; log sequence number 0 554145193 121212 9:17:57 [Note] /usr/libexec/mysqld: ready for connections. Version: '5.0.95' socket: '/var/lib/mysql/mysql.sock' port: 3306 Source distribution

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  • Setting up Eloquent relationships in Laravel for existing InnoDB relationships

    - by adam
    I have an initial migration that sets up two tables (users and projects), with a relationship (innoDB). $table->foreign('user_id')->references('id')->on('users'); I have two Eloquent models set up, blank except for the relationship: return $this->has_many('Project'); Do i definitely need to tell eloquent about the relationship in the models and the database? I'd assumed something as comprehensive as Laravel would infer it from the Schema? Is there something I'm missing?

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  • Online ALTER TABLE in MySQL 5.6

    - by Marko Mäkelä
    This is the low-level view of data dictionary language (DDL) operations in the InnoDB storage engine in MySQL 5.6. John Russell gave a more high-level view in his blog post April 2012 Labs Release – Online DDL Improvements. MySQL before the InnoDB Plugin Traditionally, the MySQL storage engine interface has taken a minimalistic approach to data definition language. The only natively supported operations were CREATE TABLE, DROP TABLE and RENAME TABLE. Consider the following example: CREATE TABLE t(a INT); INSERT INTO t VALUES (1),(2),(3); CREATE INDEX a ON t(a); DROP TABLE t; The CREATE INDEX statement would be executed roughly as follows: CREATE TABLE temp(a INT, INDEX(a)); INSERT INTO temp SELECT * FROM t; RENAME TABLE t TO temp2; RENAME TABLE temp TO t; DROP TABLE temp2; You could imagine that the database could crash when copying all rows from the original table to the new one. For example, it could run out of file space. Then, on restart, InnoDB would roll back the huge INSERT transaction. To fix things a little, a hack was added to ha_innobase::write_row for committing the transaction every 10,000 rows. Still, it was frustrating that even a simple DROP INDEX would make the table unavailable for modifications for a long time. Fast Index Creation in the InnoDB Plugin of MySQL 5.1 MySQL 5.1 introduced a new interface for CREATE INDEX and DROP INDEX. The old table-copying approach can still be forced by SET old_alter_table=0. This interface is used in MySQL 5.5 and in the InnoDB Plugin for MySQL 5.1. Apart from the ability to do a quick DROP INDEX, the main advantage is that InnoDB will execute a merge-sort algorithm before inserting the index records into each index that is being created. This should speed up the insert into the secondary index B-trees and potentially result in a better B-tree fill factor. The 5.1 ALTER TABLE interface was not perfect. For example, DROP FOREIGN KEY still invoked the table copy. Renaming columns could conflict with InnoDB foreign key constraints. Combining ADD KEY and DROP KEY in ALTER TABLE was problematic and not atomic inside the storage engine. The ALTER TABLE interface in MySQL 5.6 The ALTER TABLE storage engine interface was completely rewritten in MySQL 5.6. Instead of introducing a method call for every conceivable operation, MySQL 5.6 introduced a handful of methods, and data structures that keep track of the requested changes. In MySQL 5.6, online ALTER TABLE operation can be requested by specifying LOCK=NONE. Also LOCK=SHARED and LOCK=EXCLUSIVE are available. The old-style table copying can be requested by ALGORITHM=COPY. That one will require at least LOCK=SHARED. From the InnoDB point of view, anything that is possible with LOCK=EXCLUSIVE is also possible with LOCK=SHARED. Most ALGORITHM=INPLACE operations inside InnoDB can be executed online (LOCK=NONE). InnoDB will always require an exclusive table lock in two phases of the operation. The execution phases are tied to a number of methods: handler::check_if_supported_inplace_alter Checks if the storage engine can perform all requested operations, and if so, what kind of locking is needed. handler::prepare_inplace_alter_table InnoDB uses this method to set up the data dictionary cache for upcoming CREATE INDEX operation. We need stubs for the new indexes, so that we can keep track of changes to the table during online index creation. Also, crash recovery would drop any indexes that were incomplete at the time of the crash. handler::inplace_alter_table In InnoDB, this method is used for creating secondary indexes or for rebuilding the table. This is the ‘main’ phase that can be executed online (with concurrent writes to the table). handler::commit_inplace_alter_table This is where the operation is committed or rolled back. Here, InnoDB would drop any indexes, rename any columns, drop or add foreign keys, and finalize a table rebuild or index creation. It would also discard any logs that were set up for online index creation or table rebuild. The prepare and commit phases require an exclusive lock, blocking all access to the table. If MySQL times out while upgrading the table meta-data lock for the commit phase, it will roll back the ALTER TABLE operation. In MySQL 5.6, data definition language operations are still not fully atomic, because the data dictionary is split. Part of it is inside InnoDB data dictionary tables. Part of the information is only available in the *.frm file, which is not covered by any crash recovery log. But, there is a single commit phase inside the storage engine. Online Secondary Index Creation It may occur that an index needs to be created on a new column to speed up queries. But, it may be unacceptable to block modifications on the table while creating the index. It turns out that it is conceptually not so hard to support online index creation. All we need is some more execution phases: Set up a stub for the index, for logging changes. Scan the table for index records. Sort the index records. Bulk load the index records. Apply the logged changes. Replace the stub with the actual index. Threads that modify the table will log the operations to the logs of each index that is being created. Errors, such as log overflow or uniqueness violations, will only be flagged by the ALTER TABLE thread. The log is conceptually similar to the InnoDB change buffer. The bulk load of index records will bypass record locking. We still generate redo log for writing the index pages. It would suffice to log page allocations only, and to flush the index pages from the buffer pool to the file system upon completion. Native ALTER TABLE Starting with MySQL 5.6, InnoDB supports most ALTER TABLE operations natively. The notable exceptions are changes to the column type, ADD FOREIGN KEY except when foreign_key_checks=0, and changes to tables that contain FULLTEXT indexes. The keyword ALGORITHM=INPLACE is somewhat misleading, because certain operations cannot be performed in-place. For example, changing the ROW_FORMAT of a table requires a rebuild. Online operation (LOCK=NONE) is not allowed in the following cases: when adding an AUTO_INCREMENT column, when the table contains FULLTEXT indexes or a hidden FTS_DOC_ID column, or when there are FOREIGN KEY constraints referring to the table, with ON…CASCADE or ON…SET NULL option. The FOREIGN KEY limitations are needed, because MySQL does not acquire meta-data locks on the child or parent tables when executing SQL statements. Theoretically, InnoDB could support operations like ADD COLUMN and DROP COLUMN in-place, by lazily converting the table to a newer format. This would require that the data dictionary keep multiple versions of the table definition. For simplicity, we will copy the entire table, even for DROP COLUMN. The bulk copying of the table will bypass record locking and undo logging. For facilitating online operation, a temporary log will be associated with the clustered index of table. Threads that modify the table will also write the changes to the log. When altering the table, we skip all records that have been marked for deletion. In this way, we can simply discard any undo log records that were not yet purged from the original table. Off-page columns, or BLOBs, are an important consideration. We suspend the purge of delete-marked records if it would free any off-page columns from the old table. This is because the BLOBs can be needed when applying changes from the log. We have special logging for handling the ROLLBACK of an INSERT that inserted new off-page columns. This is because the columns will be freed at rollback.

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  • "FOR UPDATE" v/s "LOCK IN SHARE MODE" : Allow concurrent threads to read updated "state" value of locked row

    - by shadesco
    I have the following scenario: User X logs in to the application from location lc1: call it Ulc1 User X (has been hacked, or some friend of his knows his login credential, or he just logs in from a different browser on his machine,etc.. u got the point) logs in at the same time from location lc2: call it Ulc2 I am using a main servlet which : - gets a connection from database pooling - sets autocommit to false - executes a command that goes through app layers: if all successful, set autocommit to true in a "finally" statement, and closes connection. Else if an exception happens, rollback(). In my database (mysql/innoDb) i have a "history" table, with row columns: id(primary key) |username | date | topic | locked The column "locked" has by default value "false" and it serves as a flag that marks if a specific row is locked or not. Each row is specific to a user (as u can see from the username column) So back to the scenario: --Ulc1 sends the command to update his history from the db for date "D" and topic "T". --Ulc2 sends the same command to update history from the db for the same date "D" and same topic "T" at the exact same time. I want to implement an mysql/innoDB locking system that will enable whichever thread arriving to do the following check: Is column "locked" for this row true or not? if true, return a message to the user that " he is already updating the same data from another location" if not true (ie not locked) : flag it as locked and update then reset locked to false once finished. Which of these two mysql locking techniques, will actually allow the 2nd arriving thread from reading the "updated" value of the locked column to decide wt action to take?Should i use "FOR UPDATE" or "LOCK IN SHARE MODE"? This scenario explains what i want to accomplish: - Ulc1 thread arrives first: column "locked" is false, set it to true and continue updating process - Ulc2 thread arrives while Ulc1's transaction is still in process, and even though the row is locked through innoDb functionalities, it doesn't have to wait but in fact reads the "new" value of column locked which is "true", and so doesn't in fact have to wait till Ulc1 transaction commits to read the value of the "locked" column(anyway by that time the value of this column will already have been reset to false). I am not very experienced with the 2 types of locking mechanisms, what i understand so far is that LOCK IN SHARE MODE allow other transaction to read the locked row while FOR UPDATE doesn't even allow reading. But does this read gets on the updated value? or the 2nd arriving thread has to wait the first thread to commit to then read the value? Any recommendations about which locking mechanism to use for this scenario is appreciated. Also if there's a better way to "check" if the row has been locked (other than using a true/false column flag) please let me know about it. thank you SOLUTION (Jdbc pseudocode example based on @Darhazer's answer) Table : [ id(primary key) |username | date | topic | locked ] connection.setautocommit(false); //transaction-1 PreparedStatement ps1 = "Select locked from tableName for update where id="key" and locked=false); ps1.executeQuery(); //transaction 2 PreparedStatement ps2 = "Update tableName set locked=true where id="key"; ps2.executeUpdate(); connection.setautocommit(true);// here we allow other transactions threads to see the new value connection.setautocommit(false); //transaction 3 PreparedStatement ps3 = "Update tableName set aField="Sthg" where id="key" And date="D" and topic="T"; ps3.executeUpdate(); // reset locked to false PreparedStatement ps4 = "Update tableName set locked=false where id="key"; ps4.executeUpdate(); //commit connection.setautocommit(true);

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  • Keeping video viewing statistics breakdown by video time in a database

    - by Septagram
    I need to keep a number of statistics about the videos being watched, and one of them is what parts of the video are being watched most. The design I came up with is to split the video into 256 intervals and keep the floating-point number of views for each of them. I receive the data as a number of intervals the user watched continuously. The problem is how to store them. There are two solutions I see. Row per every video segment Let's have a database table like this: CREATE TABLE `video_heatmap` ( `id` int(11) NOT NULL AUTO_INCREMENT, `video_id` int(11) NOT NULL, `position` tinyint(3) unsigned NOT NULL, `views` float NOT NULL, PRIMARY KEY (`id`), UNIQUE KEY `idx_lookup` (`video_id`,`position`) ) ENGINE=MyISAM Then, whenever we have to process a number of views, make sure there are the respective database rows and add appropriate values to the views column. I found out it's a lot faster if the existence of rows is taken care of first (SELECT COUNT(*) of rows for a given video and INSERT IGNORE if they are lacking), and then a number of update queries is used like this: UPDATE video_heatmap SET views = views + ? WHERE video_id = ? AND position >= ? AND position < ? This seems, however, a little bloated. The other solution I came up with is Row per video, update in transactions A table will look (sort of) like this: CREATE TABLE video ( id INT NOT NULL AUTO_INCREMENT, heatmap BINARY (4 * 256) NOT NULL, ... ) ENGINE=InnoDB Then, upon every time a view needs to be stored, it will be done in a transaction with consistent snapshot, in a sequence like this: If the video doesn't exist in the database, it is created. A row is retrieved, heatmap, an array of floats stored in the binary form, is converted into a form more friendly for processing (in PHP). Values in the array are increased appropriately and the array is converted back. Row is changed via UPDATE query. So far the advantages can be summed up like this: First approach Stores data as floats, not as some magical binary array. Doesn't require transaction support, so doesn't require InnoDB, and we're using MyISAM for everything at the moment, so there won't be any need to mix storage engines. (only applies in my specific situation) Doesn't require a transaction WITH CONSISTENT SNAPSHOT. I don't know what are the performance penalties of those. I already implemented it and it works. (only applies in my specific situation) Second approach Is using a lot less storage space (the first approach is storing video ID 256 times and stores position for every segment of the video, not to mention primary key). Should scale better, because of InnoDB's per-row locking as opposed to MyISAM's table locking. Might generally work faster because there are a lot less requests being made. Easier to implement in code (although the other one is already implemented). So, what should I do? If it wasn't for the rest of our system using MyISAM consistently, I'd go with the second approach, but currently I'm leaning to the first one. But maybe there are some reasons to favour one approach or another?

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  • InnoDB "Column count doesn't match value count at row 1"

    - by Webnet
    I'm having issues with a table. I'm using the following to create my insert query... $validatedData = array(); foreach ($post as $key => $value) { if ($key != 'submit' && $key != 'dz_tos' && $key != 'dz_billShip') { $validatedData[$key] = filter_var($value, FILTER_SANITIZE_STRING); } } mysql_query("INSERT INTO dz_users(".implode(array_keys($validatedData), ',').", dz_access_level) VALUES(\"".implode($validatedData, '\",\"')."\", 1)"); So every column has a value to match it. The problem is that I'm getting the SQL error: Column count doesn’t match value count at row 1 The database is an innoDB and all columns are varChar/Char except for the ID field which is an auto increment primary key.

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