Mysql limit rows11/23/2023 ![]() ![]() When you run into to many rows in your table then you should start sharding the tables or partitioning and put old data in old tables by year such as users_2011_jan, users_2011_feb or use numbers for the month. You would have this happen weekly or monthly in a maintenance script in the middle of a slow time. ![]() For example, if it is longer than 1 year then put them in a different table. There needs to be real business logic in your plan like how long has this user been inactive. Don't say if the tables is longer than 1000 truncate the end of the table. But I think you'd find other performance factors make this inadvisable long before you grow a table to that size. You can increase the page size, and therefore increase the tablespace up to 256TB. The 64TB limit assumes the default page size of 16KB. How many rows fits into this depends on the size of each row. The InnoDB storage engine has an internal 6-byte row ID per table, so there are a maximum number of rows equal to 2 48 or 281,474,976,710,656.Īn InnoDB tablespace also has a limit on table size of 64 terabytes. The MyISAM storage engine supports 2 32 rows per table, but you can build MySQL with the -with-big-tables option to make it support up to 2 64 rows per table. The limits of database size is really high: ![]() Or you could have a 300GB hard drive that can store only 300 million rows if each row is 1KB in size. For instance you could use an operating system that has a file size limitation. There are other constraints on table size besides number of rows. You could also declare the primary key over more than one column. It's true that if you use an int or bigint as your primary key, you can only have as many rows as the number of unique values in the data type of your primary key, but you don't have to make your primary key an integer, you could make it a CHAR(100). The greatest value of an integer has little to do with the maximum number of rows you can store in a table. ![]()
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