Anonymous Asked in Cars &Transportation · 2 weeks ago

How does MySQL handle large amounts of data?

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


Can I use MySQL for big data?

MySQL was not designed for running complicated queries against massive data volumes which requires crunching through a lot of data on a huge scale. MySQL optimizer is quite limited, executing a single query at a time using a single thread.

How does MySQL store large data?

Use a column of datatype 'text', 'mediumtext', or 'largetext' according to your needs. Alternatively, you could just output the data to a file. They are more appropriate for logging large amounts data that may not need to be accessed often - which it seems like this might be.

How much data can MySQL handle?

In addition, a practical size limit on MySQL databases with shared hosting is: 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.

Can MySQL handle 1 million records?

Millions of rows is fine, tens of millions of rows is fine - provided you've got an even remotely decent server, i.e. a few Gbs of RAM, plenty disk space. You will need to learn about indexes for fast retrieval, but in terms of MySQL being able to handle it, no problem.

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