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Can MySQL handle millions of rows?

It is easy for MySQL to handle many millions of rows, while it makes nice use of even relatively large rows.


How many rows can MySQL store?

The MySQL maximum row size limit of 65,535 bytes is demonstrated in the following InnoDB and MyISAM examples. The limit is enforced regardless of storage engine, even though the storage engine may be capable of supporting larger rows.

How do I manage millions of records in MySQL?

If you're using MySQL, the fastest way to load a very large number of records into a table is the following:1Get the data into CSV format.2Using LOAD DATA , load the data either into your table or to a working table if you need to do post-loading SQL operations to map the data into your final table.I need to handle millions of records per day in MySQL. What ... - Quora

Can MySQL handle billion rows?

Yes, MySQL can handle 10 billion rows.

How does MySQL handle large amounts of data?

What I've understood so far to improve the performance for very large tables:1(for innoDB tables which is my case) increasing the innodb_buffer_pool_size (e.g., up to 80% of RAM). ... 2having proper indexes on the table (using EXPLAN on queries)3partitioning the table.4MySQL Sharding or clustering.Handling very large data with mysql - Stack Overflow

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