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  • Regular expression in mySQL [migrated]

    - by Rayne
    I have a mysql table that has 2 columns - Column 1 contains a string value, and Column 2 contains the number of times that string value occurred. I'm trying to find the string abc.X.def, where the beginning of the string is "abc.", followed by one or more characters, then the string ".def". There could be more characters following ".def". How can I find such strings, then add the occurrence of such strings and display the results? For example, if I have abc.111.def23 1 abc.111.def 2 abc.22.def444 1 abc.111.def 1 Then I will get abc.111.def23 1 abc.111.def 3 abc.22.def444 1 Thank you.

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  • phpmyadmin or other mysql gui - edit whole table from one screen

    - by lorem
    Let's say I have table in database. I'd like to be able to view all data from this table and be able to edit every field from single screen. I tried to do this in phpmyadmin but I'm not sure how... I can see all data but I have to click edit on single field and then I'm sent to next screen, can't really edit everything at once. How do I do this in phpmyadmin or other mysql gui? I'm on Linux, my server too. I'd like each field in table to be editable text field - maybe this will show better what I'm searching for.

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  • MySQL Procedure causing Dead Lock

    - by Phanindra
    I am using MySQL server 5.1.45. And I am having a procedure with huge business logic. With less number of invocation of this procedure, my application is working fine, but when the number of invocations are getting increased this procedure is throwing Lock wait timeout exception. My Question is will Procedure creates temporary tables dynamically..? As in my procedure I am using Truncate statement which may cause to release all transactions. I am not DBA, please help me out of this.

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  • Specific apache + mysql settings for a light-weight site

    - by Good Person
    I have a small website with a Joomla and a Moodle set up. It seems that both of these are very slow. The server (CentOS release 5.5 (Final)) is a virtual dedicated server with about 2GB of ram. I don't expect to ever get more than 10-15 people on at the same time (and if that is high) What settings could I change in either apache, mysql, or even the OS to increase the performance of my site? I'm not concerned about running out of resources if I get too many visitors. If you need more specific data leave a comment and I'll edit the question.

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  • Mysql process goes over 100% of CPU usage

    - by Temnovit
    Hello! I'm experiencing some problems with my LAMP server. Recently, everything became very slow, even though visitor count on my websites didn't change to much. When I run top command, it sais that mysql process has taken over 150-200% of CPU. How's that possible, I always thought that 100% is a maximum? I'm running Ubuntu 9.04 server edition with 1,5 GB RAM my.cnf settings: key_buffer = 64M max_allowed_packet = 16M thread_stack = 192K thread_cache_size = 8 myisam-recover = BACKUP max_connections = 200 table_cache = 512 table_definition_cache = 512 thread_concurrency = 2 read_buffer_size = 1M sort_buffer_size = 4M join_buffer_size = 1M query_cache_limit = 1M # the maximum size of individual query results query_cache_size = 128M Here is the output of MySQLTuner: The top command: What could be the cause of this problem? Can I make changes to my my.cnf to prevent server from hanging?

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  • MySQL server simple insert/update/delete queries are taking a long time to execute

    - by ElGabbu
    We have a VPS hosting server with a MySQL server running on it. We host several databases for client's websites. Recently we have noticed that insert/update and delete queries are taking a long time to execute sometimes as close as 30 seconds. I use the following command to see these queries being executed: watch -n1 mysqladmin proc stat We have still not been able to track the root of this problem. I would apprecite if anyone had any pointers as to what we can check or improve to resolve the issue. Thanks

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  • Open table cache in MySQL

    - by vvanscherpenseel
    I have my open table cache set to 1800 and I have a total of 1112 tables. MySQL Tuning Primer reports that 100% of my table cache is used yet my table cache hit rate is 5%. I understand that this happens due to concurrent connections all opening tables. I think I should raise the cache limit. I understand that the cache size is limited by the file descriptor limit of my operating system, but are there any other practical limitations I should be aware of? Searching Google or this very website yields mostly posts explaining the connection-factor or come up with indecisive answers. My question: can I safely increase the open table cache limit? Is there a maximum?

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  • postfix + mysql, user unknown

    - by stoned
    I have installed postfix with dovecot and postfix admin and all seemed well at the beginning. I can log in with thunderbird and check the mailboxes (all empty now) and TRY to send mail, even TLS works. The problem comes when I try to send mail. This is the output of mail.log when I try to send mail from an address to the same address: Nov 23 16:41:55 mailforge postfix/local[6322]: 297792467C: to=, relay=local, delay=0.01, delays=0/0/0/0.01, dsn=5.1.1, status=bounced (unknown user: "test") Nov 23 16:41:55 mailforge postfix/qmgr[6293]: 297792467C: removed To me it looks like as if postfix tries to look for the user "test" while in the mysql database users are named as [email protected] . Where should I change this behaviour?

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  • Installing old version of mysql

    - by Peter
    I'm trying to troubleshoot a database import problem and want to duplicate the environment onto another server. This will require installing an older version of mysql, but the packages that are listed are only showing a recent version. I'm currently running debian wheezy 7.1 and what was installed was the packaged 5.5.31. What is the official way to install an older copy? I guess I could hunt around Google and hope to find some files of the same version to install from source, but this doesn't seem like a reliable method.

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  • Configure phpMyAdmin to connect to another MySql server

    - by Spirit
    I have installed WAMP server on my laptop and for the sake of simplicity I want to configure phpMyAdmin to connect to a mysql server on another machine so that I can dump the database tables. If this is possible (and i believe it is), does any1 knows where is phpMyAdmin settings file located? The location of wamp on my laptop is C:\wamp. I've noticed in C:\wamp\apps\phpmyadmin3.5.1 but there are a lot of php scripts in there. Which one of this should I modify?

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  • setting my mysql server - limiting domains that can connect

    - by Alex
    I am trying to setup a mysql server on my machine. I would like to limit the domains that it listens for connections to. My understanding is that you can either have it listen to 1 ip or all ip's. Therefore, if i want to connect remotely I have to say all ips. Then I would like to block all domains but the ones I know should actually be connecting.. I believe this is done through windows firewall. However, how do i do this by domain instead of IP?

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  • MySQL max_user_connections

    - by Sheriffen
    We're releasing a site in a couple of weeks that has been developed on a local machine but now when were testing on dev server we get MySQL error 'max_user_connections'. We have talked to the host company (biggest in sweden) and they say that we don't close our connections properly. But the thing is that we user the EXACT same code on another host where it works. And I also added echo "closed"; in the database_close function so that now in the very bottom of very page there is "closed". To me this means that we do close the connection, anyone got any idea of what could be wrong? We connect through the PHP PDO function and closes it by setting it to 'null', all according to the manual.

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  • MySql in Bash: Show only errors

    - by TRWTFCoder
    Let me first start off by saying I am not an experienced linux user. I am trying to debug a mysql script in linux, however, my issue is that most of the queries are successful so I can not see the error messages because they scroll off the screen. I am executing the queries from a large file using the \. command. I was wondering if there was a way to show ONLY the error messages when I exececute the sql file. Right now it is showing both error messages and Query OK,.... I don't really care about the queries that are ok, just the errors. Thanks!

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  • Linux filesystem suggestion for MySQL with a 100% SELECT workload

    - by gmemon
    I have a MySQL database that contains millions of rows per table and there are 9 tables in total. The database is fully populated, and all I am doing is reads i.e., there are no INSERTs or UPDATEs. Data is stored in MyISAM tables. Given this scenario, which linux file system would work best? Currently, I have xfs. But, I read somewhere that xfs has horrible read performance. Is that true? Should I shift the database to an ext3 file system? Thanks

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  • How to handle monetary values in PHP and MySql?

    - by Songo
    I've inherited a huge pile of legacy code written in PHP on top of a MySQL database. The thing I noticed is that the application uses doubles for storage and manipulation of data. Now I came across of numerous posts mentioning how double are not suited for monetary operations because of the rounding errors. However, I have yet to come across a complete solution to how monetary values should be handled in PHP code and stored in a MySQL database. Is there a best practice when it comes to handling money specifically in PHP? Things I'm looking for are: How should the data be stored in the database? column type? size? How should the data be handling in normal addition, subtraction. multiplication or division? When should I round the values? How much rounding is acceptable if any? Is there a difference between handling large monetary values and low ones? Note: A VERY simplified sample code of how I might encounter money values in everyday life: $a= $_POST['price_in_dollars']; //-->(ex: 25.06) will be read as a string should it be cast to double? $b= $_POST['discount_rate'];//-->(ex: 0.35) value will always be less than 1 $valueToBeStored= $a * $b; //--> any hint here is welcomed $valueFromDatabase= $row['price']; //--> price column in database could be double, decimal,...etc. $priceToPrint=$valueFromDatabase * 0.25; //again cast needed or not? I hope you use this sample code as a means to bring out more use cases and not to take it literally of course. Bonus Question If I'm to use an ORM such as Doctrine or PROPEL, how different will it be to use money in my code.

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  • CENTOS 6 - How to install php-mysql when php-common @remi is present?

    - by Multitut
    I am having troubles adding mysql support for my php installation, this installation was made using a ready to use-package that came with our VPS. This is my php.info: http://snake.quetzalcoatech.com/info.php I am trying to install php mysql using: yum install php-mysql And get this output: Loaded plugins: fastestmirror Loading mirror speeds from cached hostfile * base: mirrors.serveraxis.net * extras: mirror.fdcservers.net * updates: bay.uchicago.edu Setting up Install Process Resolving Dependencies --> Running transaction check ---> Package php-mysql.x86_64 0:5.3.3-14.el6_3 will be installed --> Processing Dependency: php-common = 5.3.3-14.el6_3 for package: php-mysql-5.3.3-14.el6_3.x86_64 --> Finished Dependency Resolution Error: Package: php-mysql-5.3.3-14.el6_3.x86_64 (updates) Requires: php-common = 5.3.3-14.el6_3 Installed: php-common-5.3.17-2.el6.remi.x86_64 (@remi) php-common = 5.3.17-2.el6.remi Available: php-common-5.3.3-3.el6_2.8.x86_64 (base) php-common = 5.3.3-3.el6_2.8 Available: php-common-5.3.3-14.el6_3.x86_64 (updates) php-common = 5.3.3-14.el6_3 You could try using --skip-broken to work around the problem You could try running: rpm -Va --nofiles --nodigest I am a noob using Linux, so could you tell me which command should I use to install a compatible php-mysql module? Thank you so much!

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  • MySQL InnoDB Corruption after power outage, possible to recover?

    - by Tim Hackett
    Hey Guys, I recently started trying to get Redmine up and running after a power outage that seems to have corrupted our InnoDB database in MySQL. Redmine had an extensive set of documentation that I would like to get even if redmine isn't able to run. The service fails on startup. I have tried inserting innodb_force_recovery = 4 per the documentation from the url in the error log. (also tried 1 thru 6 as I have backed up all directories after the corruption) I have verified through "mysqld-nt --print-defaults" that it is starting with the recovery option in the params. The machine is running Windows Server 2003 SP2, Xeon E5335 with 2GB RAM, MySQL is not mirrored to another machine, nor is the machine a mirror. I do not have any backups because the previous person did not set them up. Here is the error log: InnoDB: The log sequence number in ibdata files does not match InnoDB: the log sequence number in the ib_logfiles! 100308 14:50:01 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... 100308 14:50:02 InnoDB: Error: page 7 log sequence number 0 935521175 InnoDB: is in the future! Current system log sequence number 0 933419020. InnoDB: Your database may be corrupt or you may have copied the InnoDB InnoDB: tablespace but not the InnoDB log files. See InnoDB: http://dev.mysql.com/doc/refman/5.0/en/forcing-recovery.html InnoDB: for more information. 100308 14:50:02 InnoDB: Error: page 2 log sequence number 0 935517607 InnoDB: is in the future! Current system log sequence number 0 933419020. InnoDB: Your database may be corrupt or you may have copied the InnoDB InnoDB: tablespace but not the InnoDB log files. See InnoDB: http://dev.mysql.com/doc/refman/5.0/en/forcing-recovery.html InnoDB: for more information. 100308 14:50:02 InnoDB: Error: page 11 log sequence number 0 935517607 InnoDB: is in the future! Current system log sequence number 0 933419020. InnoDB: Your database may be corrupt or you may have copied the InnoDB InnoDB: tablespace but not the InnoDB log files. See InnoDB: http://dev.mysql.com/doc/refman/5.0/en/forcing-recovery.html InnoDB: for more information. 100308 14:50:02 InnoDB: Error: page 5 log sequence number 0 972973045 InnoDB: is in the future! Current system log sequence number 0 933419020. InnoDB: Your database may be corrupt or you may have copied the InnoDB InnoDB: tablespace but not the InnoDB log files. See InnoDB: http://dev.mysql.com/doc/refman/5.0/en/forcing-recovery.html InnoDB: for more information. 100308 14:50:02 InnoDB: Error: page 6 log sequence number 0 972984051 InnoDB: is in the future! Current system log sequence number 0 933419020. InnoDB: Your database may be corrupt or you may have copied the InnoDB InnoDB: tablespace but not the InnoDB log files. See InnoDB: http://dev.mysql.com/doc/refman/5.0/en/forcing-recovery.html InnoDB: for more information. 100308 14:50:02 InnoDB: Error: page 1577 log sequence number 0 972737368 InnoDB: is in the future! Current system log sequence number 0 933419020. InnoDB: Your database may be corrupt or you may have copied the InnoDB InnoDB: tablespace but not the InnoDB log files. See InnoDB: http://dev.mysql.com/doc/refman/5.0/en/forcing-recovery.html InnoDB: for more information. InnoDB: Error: trying to access page number 4294965119 in space 0, InnoDB: space name .\ibdata1, InnoDB: which is outside the tablespace bounds. InnoDB: Byte offset 0, len 16384, i/o type 10. InnoDB: If you get this error at mysqld startup, please check that InnoDB: your my.cnf matches the ibdata files that you have in the InnoDB: MySQL server. 100308 14:50:02InnoDB: Assertion failure in thread 960 in file .\fil\fil0fil.c line 3959 InnoDB: We intentionally generate a memory trap. InnoDB: Submit a detailed bug report to http://bugs.mysql.com. InnoDB: If you get repeated assertion failures or crashes, even InnoDB: immediately after the mysqld startup, there may be InnoDB: corruption in the InnoDB tablespace. Please refer to InnoDB: http://dev.mysql.com/doc/refman/5.0/en/forcing-recovery.html InnoDB: about forcing recovery. 100308 14:50:02 [ERROR] mysqld-nt: Got signal 11. Aborting! 100308 14:50:02 [ERROR] Aborting 100308 14:50:02 [Note] mysqld-nt: Shutdown complete

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  • MS SQL Query Sum of subquery

    - by San
    Hello , I need a help i getting following output from the query . SELECT ARG_CONSUMER, cast(ARG_TOTALAMT as float)/100 AS 'Total', (SELECT SUM(cast(DAMT as float))/100 FROM DEBT WHERE DDATE >= ARG.ARG_ORIGDATE AND DDATE <= ARG.ARG_LASTPAYDATE AND DTYPE IN ('CSH','CNTP','DDR','NBP') AND DCONSUMER = ARG.ARG_CONSUMER ) AS 'Paid' FROM ARGMASTER ARG WHERE ARG_STATUS = '1' Current output is a list of all records... But what i want to achieve here is count of arg consumers Total of ARG_TOTALAMT total of that subquery PAID difference between PAID & Total amount. I am able to achieve first two i.e. count of consumers & total of ARG _ TOTALAMT... but i am confused about sum of of ...i.e. sum (SELECT SUM(cast(DAMT as float))/100 FROM DEBT WHERE DDATE >= ARG.ARG_ORIGDATE AND DDATE <= ARG.ARG_LASTPAYDATE AND DTYPE IN ('CSH','CNTP','DDR','NBP') AND DCONSUMER = ARG.ARG_CONSUMER) AS 'Paid' Please advice

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  • MySQL Privileges required to GRANT EVENT, EXECUTE, LOCK TABLES, and TRIGGER

    - by Brad
    I have an account, user_a, and I would like to grant all available permissions on some_db to user_b. I have tried the following query: GRANT ALTER, ALTER ROUTINE, CREATE, CREATE ROUTINE, CREATE TEMPORARY TABLES, CREATE VIEW, DELETE, DROP, EVENT, EXECUTE, INDEX, INSERT, LOCK TABLES, REFERENCES, SELECT, SHOW VIEW, TRIGGER, UPDATE ON `some_db`.* TO 'user_b'@'%' WITH GRANT OPTION The result: Access denied for user 'user_a'@'%' to database 'some_db' Some experimentation has shown me that the only permissions my account (user_a) is unable to grant are EVENT, EXECUTE, LOCK TABLES, and TRIGGER. What privileges are required for my account to GRANT these privileges to another user? If I run SHOW GRANTS, I get this output: "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, SHOW DATABASES, SUPER, CREATE TEMPORARY TABLES, REPLICATION SLAVE, REPLICATION CLIENT, CREATE VIEW, SHOW VIEW, CREATE ROUTINE, ALTER ROUTINE, CREATE USER ON *.* TO 'user_a'@'%' IDENTIFIED BY PASSWORD '1234567890abcdef' WITH GRANT OPTION" "GRANT SELECT, INSERT, UPDATE, DELETE, EXECUTE ON `some_other_unrelated_db`.* TO 'user_a'@'%'" "GRANT SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, REFERENCES, INDEX, ALTER, CREATE TEMPORARY TABLES, LOCK TABLES, EXECUTE, CREATE ROUTINE, ALTER ROUTINE ON `another_unrelated_db`.* TO 'user_a'@'%' WITH GRANT OPTION"

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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  • JPA : optimize EJB-QL query involving large many-to-many join table

    - by Fabien
    Hi all. I'm using Hibernate Entity Manager 3.4.0.GA with Spring 2.5.6 and MySql 5.1. I have a use case where an entity called Artifact has a reflexive many-to-many relation with itself, and the join table is quite large (1 million lines). As a result, the HQL query performed by one of the methods in my DAO takes a long time. Any advice on how to optimize this and still use HQL ? Or do I have no choice but to switch to a native SQL query that would perform a join between the table ARTIFACT and the join table ARTIFACT_DEPENDENCIES ? Here is the problematic query performed in the DAO : @SuppressWarnings("unchecked") public List<Artifact> findDependentArtifacts(Artifact artifact) { Query query = em.createQuery("select a from Artifact a where :artifact in elements(a.dependencies)"); query.setParameter("artifact", artifact); List<Artifact> list = query.getResultList(); return list; } And the code for the Artifact entity : package com.acme.dependencytool.persistence.model; import java.util.ArrayList; import java.util.List; import javax.persistence.CascadeType; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.FetchType; import javax.persistence.GeneratedValue; import javax.persistence.Id; import javax.persistence.JoinColumn; import javax.persistence.JoinTable; import javax.persistence.ManyToMany; import javax.persistence.Table; import javax.persistence.UniqueConstraint; @Entity @Table(name = "ARTIFACT", uniqueConstraints={@UniqueConstraint(columnNames={"GROUP_ID", "ARTIFACT_ID", "VERSION"})}) public class Artifact { @Id @GeneratedValue @Column(name = "ID") private Long id = null; @Column(name = "GROUP_ID", length = 255, nullable = false) private String groupId; @Column(name = "ARTIFACT_ID", length = 255, nullable = false) private String artifactId; @Column(name = "VERSION", length = 255, nullable = false) private String version; @ManyToMany(cascade=CascadeType.ALL, fetch=FetchType.EAGER) @JoinTable( name="ARTIFACT_DEPENDENCIES", joinColumns = @JoinColumn(name="ARTIFACT_ID", referencedColumnName="ID"), inverseJoinColumns = @JoinColumn(name="DEPENDENCY_ID", referencedColumnName="ID") ) private List<Artifact> dependencies = new ArrayList<Artifact>(); public Long getId() { return id; } public void setId(Long id) { this.id = id; } public String getGroupId() { return groupId; } public void setGroupId(String groupId) { this.groupId = groupId; } public String getArtifactId() { return artifactId; } public void setArtifactId(String artifactId) { this.artifactId = artifactId; } public String getVersion() { return version; } public void setVersion(String version) { this.version = version; } public List<Artifact> getDependencies() { return dependencies; } public void setDependencies(List<Artifact> dependencies) { this.dependencies = dependencies; } } Thanks in advance. EDIT 1 : The DDLs are generated automatically by Hibernate EntityMananger based on the JPA annotations in the Artifact entity. I have no explicit control on the automaticaly-generated join table, and the JPA annotations don't let me explicitly set an index on a column of a table that does not correspond to an actual Entity (in the JPA sense). So I guess the indexing of table ARTIFACT_DEPENDENCIES is left to the DB, MySQL in my case, which apparently uses a composite index based on both clumns but doesn't index the column that is most relevant in my query (DEPENDENCY_ID). mysql describe ARTIFACT_DEPENDENCIES; +---------------+------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +---------------+------------+------+-----+---------+-------+ | ARTIFACT_ID | bigint(20) | NO | MUL | NULL | | | DEPENDENCY_ID | bigint(20) | NO | MUL | NULL | | +---------------+------------+------+-----+---------+-------+ EDIT 2 : When turning on showSql in the Hibernate session, I see many occurences of the same type of SQL query, as below : select dependenci0_.ARTIFACT_ID as ARTIFACT1_1_, dependenci0_.DEPENDENCY_ID as DEPENDENCY2_1_, artifact1_.ID as ID1_0_, artifact1_.ARTIFACT_ID as ARTIFACT2_1_0_, artifact1_.GROUP_ID as GROUP3_1_0_, artifact1_.VERSION as VERSION1_0_ from ARTIFACT_DEPENDENCIES dependenci0_ left outer join ARTIFACT artifact1_ on dependenci0_.DEPENDENCY_ID=artifact1_.ID where dependenci0_.ARTIFACT_ID=? Here's what EXPLAIN in MySql says about this type of query : mysql explain select dependenci0_.ARTIFACT_ID as ARTIFACT1_1_, dependenci0_.DEPENDENCY_ID as DEPENDENCY2_1_, artifact1_.ID as ID1_0_, artifact1_.ARTIFACT_ID as ARTIFACT2_1_0_, artifact1_.GROUP_ID as GROUP3_1_0_, artifact1_.VERSION as VERSION1_0_ from ARTIFACT_DEPENDENCIES dependenci0_ left outer join ARTIFACT artifact1_ on dependenci0_.DEPENDENCY_ID=artifact1_.ID where dependenci0_.ARTIFACT_ID=1; +----+-------------+--------------+--------+-------------------+-------------------+---------+---------------------------------------------+------+-------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+--------------+--------+-------------------+-------------------+---------+---------------------------------------------+------+-------+ | 1 | SIMPLE | dependenci0_ | ref | FKEA2DE763364D466 | FKEA2DE763364D466 | 8 | const | 159 | | | 1 | SIMPLE | artifact1_ | eq_ref | PRIMARY | PRIMARY | 8 | dependencytooldb.dependenci0_.DEPENDENCY_ID | 1 | | +----+-------------+--------------+--------+-------------------+-------------------+---------+---------------------------------------------+------+-------+ EDIT 3 : I tried setting the FetchType to LAZY in the JoinTable annotation, but I then get the following exception : Hibernate: select artifact0_.ID as ID1_, artifact0_.ARTIFACT_ID as ARTIFACT2_1_, artifact0_.GROUP_ID as GROUP3_1_, artifact0_.VERSION as VERSION1_ from ARTIFACT artifact0_ where artifact0_.GROUP_ID=? and artifact0_.ARTIFACT_ID=? 51545 [btpool0-2] ERROR org.hibernate.LazyInitializationException - failed to lazily initialize a collection of role: com.acme.dependencytool.persistence.model.Artifact.dependencies, no session or session was closed org.hibernate.LazyInitializationException: failed to lazily initialize a collection of role: com.acme.dependencytool.persistence.model.Artifact.dependencies, no session or session was closed at org.hibernate.collection.AbstractPersistentCollection.throwLazyInitializationException(AbstractPersistentCollection.java:380) at org.hibernate.collection.AbstractPersistentCollection.throwLazyInitializationExceptionIfNotConnected(AbstractPersistentCollection.java:372) at org.hibernate.collection.AbstractPersistentCollection.readSize(AbstractPersistentCollection.java:119) at org.hibernate.collection.PersistentBag.size(PersistentBag.java:248) at com.acme.dependencytool.server.DependencyToolServiceImpl.createArtifactViewBean(DependencyToolServiceImpl.java:93) at com.acme.dependencytool.server.DependencyToolServiceImpl.createArtifactViewBean(DependencyToolServiceImpl.java:109) at com.acme.dependencytool.server.DependencyToolServiceImpl.search(DependencyToolServiceImpl.java:48) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at com.google.gwt.user.server.rpc.RPC.invokeAndEncodeResponse(RPC.java:527) at com.google.gwt.user.server.rpc.RemoteServiceServlet.processCall(RemoteServiceServlet.java:166) at com.google.gwt.user.server.rpc.RemoteServiceServlet.doPost(RemoteServiceServlet.java:86) at javax.servlet.http.HttpServlet.service(HttpServlet.java:637) at javax.servlet.http.HttpServlet.service(HttpServlet.java:717) at org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:487) at org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:362) at org.mortbay.jetty.security.SecurityHandler.handle(SecurityHandler.java:216) at org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java:181) at org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java:729) at org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java:405) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at org.mortbay.jetty.handler.RequestLogHandler.handle(RequestLogHandler.java:49) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java:152) at org.mortbay.jetty.Server.handle(Server.java:324) at org.mortbay.jetty.HttpConnection.handleRequest(HttpConnection.java:505) at org.mortbay.jetty.HttpConnection$RequestHandler.content(HttpConnection.java:843) at org.mortbay.jetty.HttpParser.parseNext(HttpParser.java:647) at org.mortbay.jetty.HttpParser.parseAvailable(HttpParser.java:205) at org.mortbay.jetty.HttpConnection.handle(HttpConnection.java:380) at org.mortbay.io.nio.SelectChannelEndPoint.run(SelectChannelEndPoint.java:395) at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:488)

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  • Mysql: Disk is full writing

    - by elma
    Hi there, I'm having some problems with my mysql server lately, so I've decided to check the error logs: [root@LSN-D1179 log]# tail -10 mysqld.log 100325 19:30:03 [ERROR] /usr/libexec/mysqld: Table './lfe/actions' is marked as crashed and should be repaired 100325 19:30:03 [ERROR] /usr/libexec/mysqld: Table './lfe/actions' is marked as crashed and should be repaired 100325 19:30:18 [ERROR] /usr/libexec/mysqld: Disk is full writing './omuz/ibf_task_logs.MYD' (Errcode: 122). Waiting for someone to free space... Retry in 60 secs 100325 19:34:34 [ERROR] /usr/libexec/mysqld: Disk is full writing './omuz/ibf_profile_portal_views.MYD' (Errcode: 122). Waiting for someone to free space... Retry in 60 secs 100325 19:39:46 [ERROR] /usr/libexec/mysqld: Disk is full writing './omuz/ibf_posts.TMD' (Errcode: 122). Waiting for someone to free space... Retry in 60 secs 100325 19:40:18 [ERROR] /usr/libexec/mysqld: Disk is full writing './omuz/ibf_task_logs.MYD' (Errcode: 122). Waiting for someone to free space... Retry in 60 secs 100325 19:44:34 [ERROR] /usr/libexec/mysqld: Disk is full writing './omuz/ibf_profile_portal_views.MYD' (Errcode: 122). Waiting for someone to free space... Retry in 60 secs 100325 19:49:46 [ERROR] /usr/libexec/mysqld: Disk is full writing './omuz/ibf_posts.TMD' (Errcode: 122). Waiting for someone to free space... Retry in 60 secs 100325 19:50:18 [ERROR] /usr/libexec/mysqld: Disk is full writing './omuz/ibf_task_logs.MYD' (Errcode: 122). Waiting for someone to free space... Retry in 60 secs 100325 19:54:34 [ERROR] /usr/libexec/mysqld: Disk is full writing './omuz/ibf_profile_portal_views.MYD' (Errcode: 122). Waiting for someone to free space... Retry in 60 secs And here's is my df -h output [root@LSN-D1179 log]# df -h Filesystem Size Used Avail Use% Mounted on /dev/mapper/VolGroup00-LogVol00 143G 6.2G 129G 5% / /dev/sda1 99M 12M 83M 13% /boot tmpfs 490M 0 490M 0% /dev/shm As you can see, I have plenty of free space; so I couldn't figure out these "Disk is full" errors in mysqld.log. Does anyone know what should I do to fix this? Ugur

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  • Replace text with spaces in MySQL

    - by javipas
    I'm trying to do a global replace of search in my database, which has a lot of articles with a double carriage return because of this code: <p> </p> I'd like to replace this in my WordPress blog so instead of that appears... nothing, and so I can delete the CR. I've tried this on my database UPDATE wp_posts set post_content = replace (post_content,'<p> </p>',''); but didn't work. Why? Do I have to add special thinks to consider the space between the <p>and the</p>? Mmm. Good points, both Jon Angliss and Wim. Jon, as you could have guessed, the database shows no entries with that text string. So there's something going on inside the post_content field. Wim, the famous   was replaced previously, but there are still hundreds of posts that for some reason have something different between the p and the /p tags. I've done a search of one of the posts with this error: mysql> select * from wp_posts where post_title like '%3DVisionLive%'; And looking in the wp_content field, this is a little piece of the post: Phil Eisler, responsable de la divisi?n 3D Vision.?</p> <p>?</p> <p>Este portal ser? por tanto No spanish tilde (accent) shown on the terminal, and instead of an space there's a quotation mark between the p and the /p tags. I've tried to replace <p>?</p>, but again, no results. There's some character (or several) there, but I don't know how to discover that. Maybe it's the character set of my terminal, but I've accessed the database from phpmyadmin and in that case there's a space character between the p and the /p. Weird.

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  • How to use most of memory available on MySQL

    - by Zilvinas
    I've got a MySQL server which has both InnoDB and MyISAM tables. InnoDB tablespace is quite small under 4 GB. MyISAM is big ~250 GB in total of which 50 GB is for indexes. Our server has 32 GB of RAM but it usually uses only ~8GB. Our key_buffer_size is only 2GB. But our key cache hit ratio is ~95%. I find it hard to believe.. Here's our key statistics: | Key_blocks_not_flushed | 1868 | | Key_blocks_unused | 109806 | | Key_blocks_used | 1714736 | | Key_read_requests | 19224818713 | | Key_reads | 60742294 | | Key_write_requests | 1607946768 | | Key_writes | 64788819 | key_cache_block_size is default at 1024. We have 52 GB's of index data and 2GB key cache is enough to get a 95% hit ratio. Is that possible? On the other side data set is 200GB and since MyISAM uses OS (Centos) caching I would expect it to use a lot more memory to cache accessed myisam data. But at this stage I see that key_buffer is completely used, our buffer pool size for innodb is 4gb and is also completely used that adds up to 6GB. Which means data is cached using just 1 GB? My question is how could I check where all the free memory could be used? How could I check if MyISAM hits OS cache for data reads instead of disk?

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  • mysql mass insert data

    - by user12145
    Edit: I realized that if I construct a large query in memory, the speed has increased almost 10 times of magnitude "insert ignore into xxx(col1, col2) values('a',1), values('b',1), values('c',1)..." Edit: since I have an index on the first column, the insert time creeps up as I insert more. Can I delay the index until the end? Original: I'm using the following to batch insert 10 million rows into mysql db(not all at once, since they don't all fit into memory), it's too slow(taking many hours). should I use load file to improve performance? I would have to create a second file to store all the 10 million rows, then load that into db. are there better ways? PreparedStatement st=con.prepareStatement("insert ignore into xxx (col1, col2) "+ " values (?, 1)"); Iterator d=data.iterator(); while(d.hasNext()){ st.clearParameters(); st.setString(1, (d.next()).toLowerCase()); st.addBatch(); } int[]updateCounts=st.executeBatch();

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