Error Code 1040 Too Many Connections
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Error 1040 (hy000): Too Many Connections
ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack error sqlstate hy000 1040 too many connections Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up mySQL Error 1040: Too Many Connection up vote 7 down vote
Error 1040 08004 Too Many Connections
favorite How to fix these, "SQL Error 1040: Too Many Connection" even I try to put max_user_connection=500 still "Too many connection" mysql connection share|improve this question edited Jan 15 '13 at 4:30 asked Jan 15 '13 at 4:08 kelvzy 911317 add a comment| 5 Answers 5 active oldest votes up vote 6 down vote You have to change max_connections to increase total permitted connections. And set max_user_connections back to operationalerror 1040 too many connections default 0 => no limit unless you need to limit this per user connections. MySQL Too many connections share|improve this answer answered Jan 15 '13 at 5:01 Sir Rufo 10.7k21845 add a comment| up vote 6 down vote If you are running out of connections like this, chances are excellent that you are not closing the connections that you have open. Review code that opens connections and ensure the connections are closed as soon as practical. Typically you want to make use of the using keyword around anything that implements IDisposable (including database connections) to ensure that such objects are disposed as soon as they leave the scope where they are needed. You can check the current number of active connections with this query: show processlist Reference: MySQL show status - active or total connections? share|improve this answer edited Jul 24 '15 at 16:35 answered Jan 15 '13 at 4:10 Eric J. 105k36218401 after all my codes at the end of the query I always close the connection... this error only appears when I open another computer or my program –kelvzy Jan 15 '13 at 4:18 but does it actually get closed? exceptions can cause close to be skipped –Darren Kop
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Mysql Too Many Connections Fix
ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack mysql too many connections solution Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Golang, mysql: Error 1040: Too many connections up vote 5 down http://stackoverflow.com/questions/14331032/mysql-error-1040-too-many-connection vote favorite 1 I'm using the github.com/go-sql-driver/mysql driver for go. I open a database: db, err := sql.Open("mysql", str) Then I have two functions that are called 200 times each with following mysql code: rows, err := db.Query("select name from beehives") if err != nil { panic(err) } defer rows.Close() The second: err = db.QueryRow("select id, secret, shortname from beehives where shortname = ?", beehive).Scan(&id, &secre switch { case http://stackoverflow.com/questions/28135580/golang-mysql-error-1040-too-many-connections err == sql.ErrNoRows: err = errors.New("Beehive '"+beehive+"' not found.") case err != nil: panic("loginBeehive: "+ err.Error()) default: // ... do the work The first one is panicing. How can there be more than one connection when I open the database only once and how do I close them? mysql go share|improve this question asked Jan 25 '15 at 10:55 Michael 1,1641437 add a comment| 3 Answers 3 active oldest votes up vote 6 down vote accepted sql.Open doesn't really open a connection to your database. A sql.DB maintains a pool of connections to your database. Each time you query your database your program will try to get a connection from this pool or create a new one otherwise. These connections are than put back into the pool once you close them. This is what rows.Close() does. Your db.QueryRow("...") does the same thing internally when you call Scan(...). The basic problem is that you're creating too many queries, of which each one needs a connection, but you are not closing your connections fast enough. This way your program has to create a new connection for each query. You can limit the maximum number of connections your program uses by calling SetMaxOpenConns on your sql.DB. See http://go-
12 Comments If you run a fairly busy and/or badly configured MySQL server, you may receive something like this when attempting to connect: XHTML # mysql ERROR 1040: Too many connections 12 # mysqlERROR 1040: Too many connections MySQL https://major.io/2008/06/24/mysql-error-1040-too-many-connections/ is telling you that it is handling the maximum connections that you have configured it to handle. By default, MySQL will handle 100 connections simultaneously. This is very similar to the situation when Apache reaches the MaxClients setting. You won't even be able to connect to MySQL to find out what is causing the connections to be used up, so you will be forced to restart the MySQL daemon to troubleshoot the issue. What causes MySQL to too many run out of connections? Here's a list of reasons that may cause MySQL to run out of available connections, listed in order of what you should check: Bad MySQL configuration Verify that you have set MySQL's buffers and caches to appropriate levels for the type of data you're storing and the types of queries that you are running. One quick way to check this information is via MySQLTuner. The script will tell you how well your server too many connections is performing along with the corrections you should make. Running the script only takes a few moments and it doesn't require a DBA to decipher the results. Data storage techniques Remember that MySQL works best when moving vertically, not horizontally. If you have a table with 20 columns, breaking it into two tables with 10 columns each will improve performance. Even if you need to join the two tables together to get your data, it will still perform at a higher level. Also, use the right data types for the right data. If you're storing an integer only, don't use a CHAR or VARCHAR data type. If your integer will be small, then use something like a TINYINT or SMALLINT rather than INT. This means MySQL will use less memory, pull less data from the disk, and have higher performing joins. Slow queries These are generally pretty easy to fix. If you have queries that don't use indexes, or if queries run slowly with indexes in place, you need to rethink how you're pulling your data. Should your data be split into multiple tables? Are you pulling more data than you need? Keep these questions in mind, enable the slow query log, and re-work your queries to find where the bottlenecks occur. Division of labor Most people who use MySQL have a dynamic site written in a scripting l