How do I shrink the size of my MySQL database?
6 Easy Tips to reduce the size of MySQL Database
- Backup, first but not least.
- List MySQL Table and Index Size.
- Delete Unwanted Data.
- Find and Remove Unused Indexes.
- Shrink and Optimize MySQL.
- Optimize Datatypes for Columns.
- Enable Columns Compression (Only InnoDB)
- Compress Table (Only MyISAM)
How do I manage a large MySQL database?
Here are a few things that you can do from time to time to make sure that your database is performing in an efficient manner.
- Analyze your indexes on all tables, starting with the high volume insert/read tables. …
- Take a look at your slow query log every week or two. …
- Consider loading a replica slave server.
How big is too big for MySQL table?
There are some fundamental limits on table sizes. You can’t have more than 1000 columns. Your records can’t be bigger than 8k each.
Can MySQL handle a billion rows?
Yes, MySQL can handle 10 billion rows.
Why is my SQL database so big?
The most likely problem is that you have a very large transaction log file that’s never shrinking because you don’t take backups. This could be a huge problem if this is production data. (One hopes that this is because it’s in a lab where you don’t really need backups.)
How do I reduce the size of my database?
To shrink a database
- In Object Explorer, connect to an instance of the SQL Server Database Engine, and then expand that instance.
- Expand Databases, and then right-click the database that you want to shrink.
- Point to Tasks, point to Shrink, and then click Database. Database. …
- Click OK.
Is MySQL good for large database?
MySQL was not designed for running complicated queries against massive data volumes which requires crunching through a lot of data on a huge scale. … A given MySQL query can neither scale among multiple CPU cores in a single system nor execute distributed queries across multiple nodes.
What is considered a large MySQL database?
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.
Why MySQL could be slow with large tables?
The reason is normally table design and understanding the inner works of MySQL. If you design your data wisely, considering what MySQL can do and what it can’t, you will get great performance. … The three main issues you should be concerned if you’re dealing with very large data sets are Buffers, Indexes, and Joins.
How many rows can a MySQL table hold?
A MySQL row-size limit of 65,535 (regardless of the storage engine). So, for InnoDB, you can have 1,073,741,824 rows. But, more rows can be added if the row size is smaller.
What is a limitation of MySQL Workbench?
MySQL Workbench by defaults limit the numbers of rows any query can retrieve. The initial default value is set to 1000. That means it does not matter how many records your query is retrieving it will only record a maximum of 1000 rows. This limit is implemented for two major reasons.
How many rows is too much for MySQL?
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.
Can MySQL handle 10 million records?
MySQL can easily handle many millions of rows, and fairly large rows at that.
Which database is best for millions of records?
A list of 8 popular databases
- Oracle 12c. It’s no surprise that Oracle is consistently at the top of lists of popular databases. …
- MySQL. MySQL is one of the most popular databases for web-based applications. …
- Microsoft SQL Server. …
- PostgreSQL. …
- MongoDB. …
- MariaDB. …
- DB2. …
- SAP HANA.