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How many writes per second can MySQL handle?
The maximum theoretical throughput of MySQL is equivalent to the maximum number of fsync(2) per second. We know that fsync(2) takes 1 ms from earlier, which means we would naively expect that MySQL would be able to perform in the neighbourhood of: 1s / 1ms/fsync = 1000 fsyncs/s = 1000 transactions/s .
How do you measure query per second?
Take the difference between successive calls to SHOW STATUS and then divide by the number of seconds between measurements to get the queries per second.
How many reads per second?
To calculate the average reads per second for each disk, the total number of read responses is divided by the total read time during the collection interval. This data is aggregated by the disk group name to get the average read operations per second of a disk group.
How many reads can MySQL handle?
MySQL can run more than 50,000 simple queries per second on commodity server hardware and over 2,000 queries per second from a single correspondent on a Gigabit network, so running multiple queries isn’t necessarily such a bad thing.
How many requests can a server handle per second?
The from-the-box number of open connections for most servers is usually around 256 or fewer, ergo 256 requests per second. You can push it up to 2000-5000 for ping requests or to 500-1000 for lightweight requests.
How many requests per second can Postgres handle?
Each application thread can handle at most 1000 QMS of query time per second because it’s not possible to spend more than a second running queries every second. This gives us 1000 QMS per second/5 QMS per request = 200 requests per application thread as a theoretical max throughput per thread.
How many rows can a MySQL server read?
50 clients, one sql one row read: 6403 sql/second. 50 clients, one sql one row write: 4341 rows written, qps. 4341 sql/second. 1 client, 30k row write per sql: 92109 written rows/s .
How to measure ” queries per second ” in MySQL?
In literature SQL query efficiency is often measured in “queries pre second” (QPS). How those measures are made, considering that I have a database with production data at my hands?
How to improve the speed of InnoDB writes per second?
Move the table to a faster storage, such as SSD. Reads can be cached, but a durable transaction must be physically written to disk, so just caching is not enough. Also, it would be helpful if you could show us your exact database structure and the exact INSERT statement you are using.
How to increase the speed of SQL queries?
This is generally a good idea because the default size is pretty small and most systems can accommodate lending more memory to the pool. This will increase the speed of most queries, especially SELECTs (as more records will be kept in the buffer between queries).