I've started developing a browser (database) game. My question is how many queries can a regular hosting handle (when I mean regular, I mean a shared hosting you cand find for about 7$/month). As for the queries, nothing complicated (simple SELECT and WHERE operations).
So... ? 10? 100 ? 10000?
Simultaneous MySQL connection limits Each database user is limited to 38 simultaneous MySQL connections. This limitation helps to prevent overloading the MySQL server to the detriment of other sites hosted on the server.
By default, SQL Server allows a maximum of 32767 concurrent connections which is the maximum number of users that can simultaneously log in to the SQL server instance.
You may use one buffer table (Temporary table) in the sense of concurrency control with the help of LOCK'ing mechanism of MySQL. So while one request's to the server on the priority base you can set remains request as in queue or in the sense restrict the table.
Yoshinori Matsunobu in one of his articles claims 105,000
queries per second using SQL
, and 750,000
queries per second using native InnoDB
API
.
All queries are simple PK
lookups.
On a shared hosting these numbers will of course be much lower. How much exactly of course depends on the shared hosting.
This is completely dependant on the server hardware, it's caching ability and configuration, and the type of hardware it uses for non-volatile storage (e.g., a RAID array of hard drives with spindles or SSDs?), not to mention the type of query and database being queried, including:
Without knowing all of these factors, it is impossible to estimate performance. The best estimate comes from actual profiling, performed under normal operating conditions with the type of queries that will actually be presented.
Many factors can influence the response time of a database. Hardware, application configuration, (mysql out of the box does not perform all that well), and last but not least, your coding!
Badly written queries can bring make an app feel slow and sluggish. Using count(*) in your code, for a very trivial example, or having no indexes on the database, for example, will influence your db response time as your dataset grows.
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