Gain insights into relational databases and SQL. Learn about creating, managing, and editing tables using MySQL. Explore complex queries, indexes, and join functions for efficient data handling.

testmysql.tar.gz

sql spa

Relational databases store data in a row-based table structure. Structured Query Language (SQL) is a core language used to retrieve data from the relational database. One of its most widely used extensions, MySQL, also gives you the power to edit, create, and manage the queried data.

In this course, you’ll be introduced to the basics of relational database management with SQL. You’ll use MySQL to create a table, edit the data, and even change the structure. You’ll also create indexes to quickly access data for faster performance on common queries. Additionally, you’ll explore more complex queries to extract useful data with aggregate functions, grouping, ordering, and creating limits and filters in output tables. Finally, you’ll learn how to combine data from different tables with join functions.

By the end of this course, you’ll be able to create, manage, edit, and merge relational databases with confidence. MySQL will prepare you for data projects large and small.

Getting Started with SQL and Relational Databases


Let’s change the value of an attribute for a specific customer now. We’ll use the `update` command. For example, if we want to change the name of `Maria Foo` to `Maria Moo`, then we give the following command:



update customers set name = 'Maria Moo' where id = 3;

Executing the above query results in the following output:

``` shell
1 mysql> update customers set name = 'Maria Moo' where id = 3;
2 Query OK, 1 row affected (0.01 sec)
3 Rows matched: 1 Changed: 1 Warning: 0

```
MySQL reports back with a `Query OK`, the number of rows that matched the `where` clause criteria, and the number of rows that have been changed. In our code widget above, we get the `Succeeded` response.



# Parts of the `update` query

Getting Started

Manage MySQL Server

Basic SQL Commands

Add Columns and Indexes

Count and Sort Records

Foreign Keys

Joins, Left Joins And Subqueries

Conclusion

Update Rows on a Table