MySQL Queries help you make sense of the large amounts of data stored in databases by performing various tasks on the information. This section contains guides for beginners and experienced users alike, covering the most commonly-needed features of MySQL.
Explanation of MySQL command SELECT Statement for beginners
In a database, a table is a collection of data. This data can be stored in a relational database or a flat file. The term “table” refers to a collection of rows and columns. The rows are called records and the columns are called fields. The number of rows in the table determines how many records there are.
The database server stores the data in tables. Each row in a table represents a record. Each column in a row represents a field.
SELECT * FROM Books;A SELECT statement selects data from a table. A SELECT statement is used to retrieve information from a database.
A SELECT statement consists of two parts: the FROM clause and the SELECT clause.
The FROM clause specifies which table you want to use for your query.
The SELECT clause contains the list of columns you want to select from the specified table.
The SELECT statement can also include other clauses to change the way the SELECT statement works. For example, the ORDER BY clause sorts the data in the result set. The LIMIT clause limits the number of rows returned in the result set.
WHERE Clause
The WHERE clause is used to search for rows in a database table. It is often used to restrict queries to a subset of records.
It has two basic forms:
`WHERE column_name = value`and
`WHERE NOT column_name = value`The first form selects rows where the value matches the column’s value. The second form selects rows where the value does not match the column’s value.
You can combine these forms using AND or OR.
The example below selects all the rows in the table where the name contains “bob”:
SELECT * FROM `my_table` WHERE `name` LIKE '%bob%';Conclusion
In conclusion, to get the most out of your MySQL statements, you need to understand how they work and how they fit into the bigger picture of your application. If you do this, you’ll be able to create more powerful, better performing queries.
