I have a script below that goes through 380 MySQL innodb databases and runs various create table, inserts, updates...etc to migrate schema. It runs from a web server that connects to a cloud database server. I am leaving the migration script out of this question as I don't think it is relevant.
I ran into an issue and I am trying to find a workaround.
I have a 4gb ram cloud database server running MySQL 5.6. I migrated 380 database with 40 tables to 59 tables. About 70% of the way through I got The errors below. It died in the middle of one migration and the server went down. I was watching memory usage and it ran out of memory. It is a database as a service so I don't have root access to server so I don't know all details.
Running queries on phppoint_smg
Warning: Using a password on the command line interface can be insecure.
ERROR 2013 (HY000) at line 355: Lost connection to MySQL server during query
Running queries on phppoint_soulofhalloween
Warning: Using a password on the command line interface can be insecure.
ERROR 2013 (HY000): Lost connection to MySQL server at 'reading initial communication packet', system error: 0
Running queries on phppoint_srvais
Warning: Using a password on the command line interface can be insecure.
ERROR 2013 (HY000): Lost connection to MySQL server at 'reading initial communication packet', system error: 0
Here is a simplified version of the PHP script.
db_host = escapeshellarg($db_host);
$db_user = escapeshellarg($db_user);
$db_password = escapeshellarg($db_password);
foreach($databases as $database)
{
echo "Running queries on $database\n***********************************\n";
system("mysql --host=$db_host --user=$db_user --password=$db_password --port=3306 $database < ../update.sql");
echo "\n\n";
}
My questions:
Is there any way to avoid memory usage going up as I do migration? I am doing it one database at a time. Or is the addition of tables and data the reason it goes up?
I was able to use the server afterwords and removed 80 databases and finished the migration. It has 800 mb free; and I expect it to go down to 600mb. Before the migration it was at 500mb
Within an Azure Database for MySQL server, you can create one or multiple databases. You can opt to create a single database per server to use all the resources or to create multiple databases to share the resources.
php $servername = "localhost"; $username = "username"; $password = "password"; $db = "dbname"; // Create connection $conn = mysqli_connect($servername, $username, $password,$db); // Check connection if (!$ conn) { die("Connection failed: " . mysqli_connect_error()); } echo "Connected successfully"; ?>
Your PHP sample doesn't use much memory, and it's not running on the Database server, which is the one that went down, right? So the problem is in your configured MySQL parameters.
Based on your Gist, and using a simple MySQL memory calculator, we can see that your MySQL service can use up to 3817MB of memory. If the server only had 4GB when the error happened, it's pretty probable that this was the cause (you need to have some additional memory for the OS and running applications). Increasing the memory or finetuning the server would resolve it. Take a look at the MySQL documentation page on server variables to best understand each value.
However, this may not be the only cause for disconnects/timeouts (but it does seem to be your case, since increasing memory resolved the problem). Another common problem is to underestimate the max_allowed_packet
value (16MB in your configuration), because such scripts can easily have queries beyond this value (for example, if you have several values for a single INSERT INTO table ...
).
Consider that max_allowed_packet
should be bigger than the biggest command you issue to your database (it's not the SQL file, but each command within it, the block between ;
).
But please, do consider a more careful tuning, since a bad configured server may suddenly crash, or become unresponsive —while it could perfectly run without adding more memory. I suggest running performance tuning scripts like MySQLTuner-perl that will analyze your data, index usage, slow queries and even propose the adjustments you need to optimize your server.
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