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How does MySQL handle millions of data?

Contents
  1. Can MySQL handle millions of records?
  2. How does MySQL handle large amounts of data?
  3. How do I manage millions of records in MySQL?
  4. How much data is too much for MySQL?
A million records aren't that much. MySQL uses the InnoDB engine by default in newer versions and it works by using a chunk of memory called the innodb_buffer_pool. This caches recently used tables according to an algorithm called the LRU (least recently used) caching method. 2 нояб. 2020 г.


Can MySQL handle millions of records?

Row Size Limit Examples 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 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

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

How much data is too much for MySQL?

A database should not contain more than 1,000 tables; Each individual table should not exceed 1 GB in size or 20 million rows; The total size of all the tables in a database should not exceed 2 GB.

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