How does MySQL handle large amounts of data?
- Can I use MySQL for big data?
- How does MySQL store large data?
- How much data can MySQL handle?
- Can MySQL handle 1 million records?
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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