PHP max DB connections reached - using Kohana/ORM to initiate connections - php

In a load test of our PHP based web application we can easily reach our DBs hard limit of 150 max connections. We run Kohana with ORM to manage the DB connections.
This causes connection exceptions (and thus failed transactions), mysql_pconnect seems to perform even worse.
We're looking for a solution to have graceful degradation under load. Options considered:
A DB connection pool (uh, that's not possible with PHP right?)
Re-try a failed connection when the failure was due to max
connections reached
2 seems logical, but Kohana/ORM manages the DB connection process. Can we configure this somehow?
Is there something I'm not thinking of?
EDIT
This is an Amazon AWS RDS database instance, Amazon sets the 150 limit for me, and the server is most certainly configured correctly. I just want to ensure graceful degradation under load with whichever database I'm using. Clearly I can always upgrade the DB and have a higher connection limit, but I want to guard against a failure situation in case we do hit our limit unexpectedly. Graceful degradation under load.

When you say load testing, I am assuming you are pushing roughly 150 concurrent requests and not that you are hitting the connection limit because you make multiple connections within the same request. If so, check out mysql_pconnect. To enable it in Kohana, simply enable persistent = true in the config/database file for your connections.
If that doesn't work, then you'll have to find an Amazon product that allows more connections since PHP does not share resources between threads.
This answers your question about PHP database connection pooling.

If the limit is 150 for connections (default for max_connections is 151), you are most likely running mysql without a config file
You will need to create a config file to raise that number
Create /etc/my.cnf and put in these two lines
[mysqld]
max_connections=300
You do not have to restart mysql (you could if you wish)
You could just run this MySQL command to raise it dynamically
SET GLOBAL max_connections = 300;
UPDATE 2012-04-06 12:39 EDT
Try using mysql_pconnect instead of mysql_connect. If Kohana can be configured to use mysql_pconnect, you are good to go.

Related

MySQL: Can't create TCP/IP socket (105)

I have two servers (main and database). If too many accesses are made to the MySQL database from main server, I get a "Can't create TCP/IP socket (105)" error. I have try to activate/deactivate a persistent PDO connection and set the max_connections parameter very high, but that does not help. What causes this error?
It sounds like your web server's ("main" server's) TCP stack is running out of resources.
Some things to try:
Configure your web server to restrict the number of simultaneously running client connections. In Apache this is the MaxClients parameter. http://httpd.apache.org/docs/2.0/mod/mpm_common.html#maxclients What happens when the limit is reached? other connection requests are held in the connect / listen queue.
Check your php code to make sure you're correctly releasing your data base resources. In MySQL, it's necessary to actually retrieve your result sets. Some php code does a SELECT, and then just looks at the rowCount() method.
Make sure you aren't constructing PDO objects in a loop.
Use the netstat command to figure out who's hogging ports.
Try to check max_connect_errors parameter. Most likely your host is under attack or there is some bad designed application that could not connect and reaches limit of attempts.
Oh, don't forget to restart mysqld then.
Hope it would helps!

How should I handle a "too many connections" issue with mysql?

The web startup I'm working at gets a spike in number of concurrent web users from 5000 on a normal day to 10,000 on weekends. This Saturday the traffic was so high that we started getting a "too many connections" error intermittently. Our CTO fixed this by simply increasing the max_connections value on the tatabase servers. I want to know if using one persistent connection is a better solution here?
i.e. instead of using:
$db = new mysqli('db_server_ip', 'db_user', 'db_user_pass', 'db_name');
We use:
$db = new mysqli('p:db_server_ip', 'db_user', 'db_user_pass', 'db_name');
We're already using multiple MySQL servers and as well as multiple web servers (Apache + mod_php).
You should share the database connection across multiple web requests. Every process that is running on the application server should get an own mysql connection, that is kept open as long as the process is running and reused for every web request that comes in.
From the PHP Docs:
Persistent connections are good if the overhead to create a link to your SQL server is high.
And
Note, however, that this can have some drawbacks if you are using a database with connection limits that are exceeded by persistent child connections. If your database has a limit of 16 simultaneous connections, and in the course of a busy server session, 17 child threads attempt to connect, one will not be able to.
Persistent connections aren't the solution to your problem. Your problem is that your burst usage is beyond the limits set in your database configuration, and potentially your infrastructure. What your CTO did, increasing the connection limit, is a good first step. Now you need to monitor the resource utilization on your database servers to make sure they can handle the increased load from additional connections. If they can, you're fine. If you start seeing the database server running out of resources, you'll need to set up additional servers to handle the burst in traffic.
Too Many Connections
Cause
This is error is caused by
a lot of simultaneous connections, or
by old connections not being released soon enough
You already did SHOW VARIABLES LIKE "max_connections"; and increased the value.
Permanent Connections
If you use permanent or persistent database connections, you have to always take the MySQL directive wait_timeout into account. Closing won't work, but you could lower the timeout. So used resources will be faster available again. Utilize netstat to find out whats going on exactly as described here https://serverfault.com/questions/355750/mysql-lowering-wait-timeout-value-to-lower-number-of-open-connections.
Do not forget to free your result sets to reduce wasting of db server resources.
Be advised to use temporary, short lived connections instead of persistent connections.
Introducing persistence is pretty much against the whole web request-response flow, because it's stateless. You know: 1 pconnect request, causes an 8 hour persistant connection dangling around at the db server, waiting for the next request, which never comes. Multiply by number of users and look at your resources.
Temporary connections
If you use mysql_connect() - do not forget to mysql_close().
Set new_link set to false and pass the CLIENT_INTERACTIVE flag.
You might adjusting interactive_timeout, which helps in stopping old connections blocking up the work.
If the problem persists, scale
If the problem remains, then decide to scale.
Either by adding another DB server and putting a proxy in front,
(MySQL works well with HAProxy) or by switching to an automatically scaling cloud-service.
I really doubt, that your stuff is correctly configured.
How can this be a problem, when you are already running multiple MySQL servers, as well as multiple web servers? Please describe your load balancing setup.
Sounds like Apache 2.2 + mod_php + MySQL + unknown balancer, right?
Maybe try
Apache 2.4 + mod_proxy_fcgi + PHP 5.5/5.6 (php-fpm) + MySQL (InnoDb) + HAProxy or
Nginx + PHP 5.5/5.6 (php-fpm) + MySQL (InnoDb) + HAProxy.

MongoDB Optimal Performance - How Many Persistent Connections

I have a mongodb server in production serving on an EC2 instance. According to the mongodb official documentation, persistent DB connections should ALWAYS be used in production. I've been experimenting with about 50 persistent connections and was getting frequent connection errors (approx 33% of the time) while testing. I'm using this code:
$pid = 'db_'.rand(1,50);
$mongo = new Mongo("mongodb://{$user}:{$pass}#{$host}", array('persist' => $pid) );
Some background on the application, it's a link tracking application that is still ramping up - and is in the range of 500 - 1k writes per hour, nothing too crazy... yet.
I'm wondering if I simply need to allow more persistent connections? How does one determine the right balance of persistent connections versus server resources available?
Thanks in advance everyone.
The persist value is no longer supported as of the most recent driver (1.2.0).
Truth is, it was never really clear what it did in typical Apache+PHP setups. There are several comments on the Google Groups and elsewhere asking for detail, but I did not any evidence that persist or persistent was ever tested with any depth.
Instead, it's all been replaced by connection pooling "out of the box". The connection pooling has obviously been through some changes within the 1.2 line with the addition of the MongoPool class.
There is still no detailed explanation of how the pooling works with Apache, but at least you don't have to worry about persist.
Now despite all of this mess, I have handled 1000 times that traffic on a single MongoDB server via the PHP driver without lots of connection problems.
Are you catching the exceptions?
Can you provide more details about the exact exception?
There may be a code solution.
Are you opening a new connection for each PHP page request, or using a connection pool with 50 persistent connections? If you're opening a new connection each time then you might be quickly running out of resources.
Each connection uses an additional thread on the server, so you could be hitting a limit on the number of threads of network connections, check your server logs in /var/lib/mongodb for errors.
If you're using the official MongoDB PHP driver, then as far as I know it should handle connection pooling for you automatically. If you're connecting to Mongo from 50 separate clients, then consider putting a queue in front of Mongo to buffer the writes.
http://php.net/manual/en/mongo.connecting.php
without Persistent Connections x1000
It takes approximately 18 seconds to execute
Persistent
...it takes less than .02 seconds

Php getting too many connections error from MySQL

I am using MySQL and PHP with 2 application servers and 1 database server.
With the increase of the number of users (around 1000 by now), I'm getting the following error :
SQLSTATE[08004] [1040] Too many connections
The parameter max_connections is set to 1000 in my.cnf and mysql.max_persistent is set to -1 in php.ini.
There are at most 1500 apache processes running at a time since the MaxClients apache parameter is equal to 750 and we have 2 application servers.
Should I raise the max_connections to 1500 as indicated here?
Or should I set mysql.max_persistent to 750 (we use PDO with persistent connections for performance reasons since the database server is not the same as the application servers)?
Or should I try something else?
Thanks in advance!
I think your connections aren't closing fast enough and they stack until the default time has reached. I had same problem and with wait_timeout I solved things out.
You can try to setup in my.cnf
set-variable = max_connections=1000 // max connection
set-variable = max_user_connections=100 // max user connection per hour
wait_timeout = 60 // wait timeout for connection in seconds
as will terminate any existing connections after 60 seconds has passed
I think you should check out the PHP code if you can get rid of the persistent connections.
The problem with persistent connections is that the php instance keeps them open even after script exits until the data has been sent to the client and php instance is freed to next customer.
Another problem with persistent connections is that some PHP code might leave the socket with different settings than in the startup, with different locales or with temporary tables.
If you can rewrite the code that for every connection theres only one or few mysql_connects and the database handle is passed to different parts of the code or kept in GLOBAL the performance impact of losing persistent connections is negligible.
And, of course, there's little harm in doubling the max_connections. It's not very useful with PHP anyway as PHP/Apache child exits quite often anyway and closes the handles. The max_connections is more useful in other environments.

How many connections/s can I expect between PHP and MySQL on separate server?

Trying to separate out my LAMP application into two servers, one for php and one for mysql. So far the application connects locally through a file socket and works fine.
I'm worried about the number connections I can establish if it is over the network. I have been testing tcp connections on unix for benchmark purposes and I know that you cannot exceed a certain amount of connections per second otherwise it halts due to the lack of resources (be it sockets, or file handles or whatever). I also understand that php does not implement connection pooling so for each page load a new connection over the network must be made. I also looked into pconnect for php and it seems to bring more problems.
I know this is a very very common setup (php+mysql), can anyone provide some typical usage and statistics they get out of their servers? Thanks!
The problem is not related to running out of connections allowed my MySQL. The main problem is that unix cannot very quickly create and tear down tcp connections. Sockets end up in TIME_WAIT and you have to wait for a period before you free up more sockets to connect again. These two screenshots clearly shows this pattern. MySQL does work up to a certain point and then pauses because the web server ran out of sockets. After certain amount of time passed, the web server was able to make new connections.
alt text http://img35.imageshack.us/img35/3809/picture4k.png
alt text http://img35.imageshack.us/img35/4580/picture2uyw.png
I think the limit is at 65535. So you'd have to have 65535 connections at the same time to hit that limit since a regular mysql connection closes automatically.
mysql_connect()
Note: The link to the server will be closed as soon as the execution of the script ends, unless it's closed earlier by explicitly calling mysql_close().
But if you're using a persistent mysql connection, then you can run into trouble.
Using persistent connections can require a bit of tuning of your Apache and MySQL configurations to ensure that you do not exceed the number of connections allowed by MySQL.
Each MySQL connection actually uses several meg of ram for various buffers, and takes a while to set up, which is why MySQL is limited to 100 concurrent open connections by default. You can up that limit, but it's better to spend your time trying to limit concurrent connections, via various methods.
Beware of raising the connection limit too high, as you can run out of memory (which, I believe, crashes mysql), or you may push important things out of memory. e.g. MySQL's performance is highly dependent on the OS automatically caching the data it reads from disk in memory; if you set your connection limit too high, you'll be contending for memory with the cache.
If you don't up your connection limit, you'll run out of connections long before your run out of sockets/file handles/etc. If you do increase your connection limit, you'll run out of RAM long before you run out of sockets/file handles/etc.
Regarding limiting concurrent connections:
Use a connection pooling solution. You're right, there isn't one built in to PHP, but there are plenty of standalone ones out there to choose from. This saves expensive connection setup/tear down time.
Only open database connections when you absolutely need them. In my current project, we automatically open a database connection when the first query is issued, and not a moment before; we also release the connection after we've done all our database work, but before the page's HTML is actually generated. The shorter the period of time you hold connections open, the fewer connections will be open simultaneously.
Cache what you can in a lighter-weight solution like memcached. My current project temporarily caches pages displayed to anonymous users (since every anonymous user gets the same HTML, in the end -- why bother running the same database queries all over again a few scant milliseconds later?), meaning no database connection is necessary at all. This is especially useful for bursts of anonymous traffic, like a front-page digg.

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