How do I optimize a large table in MySQL?
Remove any unnecessary indexes on the table, paying particular attention to UNIQUE indexes as these disable change buffering. Don’t use a UNIQUE index unless you need it; instead, employ a regular INDEX. Take a look at your slow query log every week or two. Pick the slowest three queries and optimize those.
How large can a MySQL table be?
The maximum row size for a given table is determined by several factors: The internal representation of a MySQL table has a maximum row size limit of 65,535 bytes, even if the storage engine is capable of supporting larger rows.
How does MySQL optimize table work?
Optimize table can be performed for InnoDB engine, or MyISAM engine, or ARCHIVE tables. For MyISAM tables, it will analyze the table, it will defragment the corresponding MySQL datafile, and reclaim the unused space. For InnoDB tables, optimize table will simply perform an alter table to reclaim the space.
Why is MySQL could be slow with large tables?
Data retrieval, search, DSS, business intelligence applications which need to analyze a lot of rows run aggregates, etc., is when this problem is the most dramatic. Some joins are also better than others. For example, if you have a star join with dimension tables being small, it would not slow things down too much.
How many rows can a MySQL database handle?
If you’ve been reading enough database-related forums, mailing lists, or blogs you have probably heard complains about MySQL being unable to handle more than 1,000,000 (or select any other number) rows by some of the users.
Is it better to do a full table scan in MySQL?
In fact, even MySQL optimizer currently does not take it into account. For in-memory workload indexes, access might be faster even if 50% of rows are accessed, while for disk IO bound access we might be better off doing a full table scan even if only a few percent or rows are accessed. Let’s do some computations again.
https://www.youtube.com/watch?v=40agYEdN4V0