Summary: this tutorial shows you how to copy a MySQL database on the same server and from a server to another. Copy a MySQL database on the same server. To copy a MySQL database, you need to follow these steps: First, create a new database using CREATE DATABASE statement. Second, export all the database objects and data of the database from which you want to copy using mysqldump tool.
This page demonstrates how to download and install a sample database — the Sakila sample database.
Why Install a Sample Database?
You can use a sample database to experiment with, without being concerned about accidentally deleting the wrong data or dropping the wrong tables, etc. If this happens, you can always re-install the DB (just run two scripts).
Also, one of the hardest things when developing your skills with databases is finding a database that contains enough data. So far we've used a very small database for our examples. That works fine for simple examples, but it can become quite limiting if you want to try out queries on a larger set of data.
The more complex your queries become, the more they will narrow the data down further. This is a crucial part of SQL programming. If your queries become complex, but you still only have a handful of records in the database, all your queries are going to return zero results!
Furthermore, if you only have two tables in your database, you can't really stretch out with more advanced queries.
This is when you need a larger database.
About the Sakila Sample Database
The Sakila sample database was created for the purposes of tutorials, books, examples, etc. It's also designed to take advantage of the various aspects of MySQL, including any new features.
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Download the Sakila Database
First of all, download the Sakila database from the MySQL website.
This will give you two scripts to run (compressed into a Zip or TGZ file).
Install the Sakila Database
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Micronta 22-212 manual. You install the database by running the two SQL scripts (one for the DB structure, one for the data).
Extract the Scripts
Extract the two SQL scripts from the ZIP or TGZ file (they should be called sakila-schema.sql and sakila-data.sql)
Open the Scripts
Execute the script
Repeat for the other Script
Now do the same with the other script (sakila-data.sql)
The Result
The SCHEMAS tab
Run a Query
Go ahead, use this database to experiment with. Select, delete, drop, create… it doesn't matter — you can always restore the DB at any time using the method above. Just run the two scripts. Simple!
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If you're looking ideas on creating different queries, my SQL tutorial includes a few that we didn't cover here. In particular, you should be able to have some fun with SQL Joins when selecting data, and you could always try altering a table. After all, you can restore the DB as often as you like. Have fun!
MySQL Community Edition is a freely downloadable version of the world's most popular open source database that is supported by an active community of open source developers and enthusiasts.
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MySQL delivers enterprise features, including:
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Partitioning to improve performance and management of very large database environments
Row-based/Hybrid Replication for improved replication security
Event Scheduler to create and schedule jobs that perform various database tasks
XPath Support
Dynamic General/Slow Query Log
Performance/Load Testing Utility (mysqlslap)
Improved! Full Text Search (faster, new dev templates)
Improved! Archive engine (better compression, more features)
Improved! User session and problem SQL identification
Improved! MySQL embedded library (libmysqld)
Additional INFORMATION_SCHEMA objects
Faster data import operations (parallel file load)
ACID Transactions to build reliable and secure business critical applications
Stored Procedures to improve developer productivity
Triggers to enforce complex business rules at the database level
Views to ensure sensitive information is not compromised
Information Schema to provide easy access to metadata
Pluggable Storage Engine Architecture for maximum flexibility
Archive Storage Engine for historical and audit data