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How many inserts per query to reach maximum throughput?
It takes around 1,000 inserts per query to reach the maximum throughput in both cases, but 40 inserts per query are enough to achieve 90% of this throughput on localhost, which could be a good…
How many inserts per query does MySQL do?
It takes around 1,000 inserts per query to reach the maximum throughput in both cases, but 40 inserts per query are enough to achieve 90% of this throughput on localhost, which could be a good tradeoff here. It’s also important to note that after a peak, the performance actually decreases as you throw in more inserts per query.
Why do inserts take so long in MySQL?
This means that, in all likelihood, the MySQL server does not start processing the file until it is fully transferred: your insert speed is therefore directly related to the bandwidth between the client and the server, which is important to take into account if they are not located on the same machine.
Are there any metrics for query execution in MySQL?
Indeed, MySQL provides Throughput metrics for all of the above transaction types. There are two general MySQL Status Variables for measuring query execution: Questions and Queries.
When do you need to Bulk insert many records?
When you need to bulk-insert many million records in a MySQL database, you soon realize that sending INSERT statements one by one is not a viable solution. The MySQL documentation has some INSERT optimization tips that are worth reading to start with.
Which is the fastest way to get data into a table?
The fastest way of getting data into a table with a clustered index is to presort the data first. You can then import it using the BULK INSERT statement with the ORDER parameter. Even that is small compared to the multi-petabyte Nasdaq OMX database, which houses tens of petabytes (thousands of terabytes) and trillions of rows on SQL Server.