How do I manage millions of records in MySQL?

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First of all you should try to run the SQL query directly against the database without Rails. This helps to identify the bottleneck: Is the query itself .Mysql: how to handle tables with millions of rows? - Stack OverflowHandling very large data with mysql - Stack OverflowWhat techniques are most effective for dealing with millions of .How to update millions of records in MySql? - Stack OverflowДругие результаты с сайта stackoverflow.com

Can MySQL handle millions of records?

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 you manage millions of data in SQL?

Use the SQL Server BCP to import a huge amount of data into tables1SELECT CAST(ROUND((total_log_size_in_bytes)*1.0/1024/1024,2,2) AS FLOAT)2AS [Total Log Size]3FROM sys. dm_db_log_space_usage;

Can MySQL handle a billion rows?

1 Answer. Show activity on this post. Yes, MySQL can handle 10 billion rows. When you define ids on the largest tables, use a bigint .

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.

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