WHAT IS LIKE operator in SQL give example?

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WHERE is like used in SQL?

What is LIKE in SQL? This operator is used along with the WHERE clause to retrieve the data according to a specific pattern. There are two wildcards which are used along with the LIKE operator to retrieve data.

WHAT IS LIKE operator in MySQL?

The MySQL LIKE Operator

The LIKE operator is used in a WHERE clause to search for a specified pattern in a column. There are two wildcards often used in conjunction with the LIKE operator: The percent sign (%) represents zero, one, or multiple characters. The underscore sign (_) represents one, single character.

What is _ in SQL like?

SQL LIKE Keyword

_ – Represents a single character (MS Access uses a question mark (?)

How do I sort in MySQL?

When sorting your result set in descending order, you use the DESC attribute in your ORDER BY clause as follows: SELECT last_name, first_name, city FROM contacts WHERE last_name = ‘Johnson’ ORDER BY city DESC; This MySQL ORDER BY example would return all records sorted by the city field in descending order.

How do I start SQL?

Here are a few steps you can take to jumpstart learning SQL on your own.

  1. Start Simple. No matter what method you use to learn SQL, you may be anxious to quickly dive in and test your new skillset. …
  2. Watch Tutorials. …
  3. Take a SQL Class. …
  4. Install a Free SQL Database.
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Is MySQL an operator?

MySQL IS operator tests a value against a Boolean value. A boolean value can be TRUE, FALSE, or UNKNOWN. In the following MySQL statement, it is checked whether 5 is TRUE, 0 is TRUE and NULL is UNKNOWN using IS operator. For the first and third case it returns 1, for the second case, it returns 0.

How do you do not in SQL?

Overview. The SQL Server NOT IN operator is used to replace a group of arguments using the <> (or !=) operator that are combined with an AND. It can make code easier to read and understand for SELECT, UPDATE or DELETE SQL commands.

How can I use SQL?

Uses of SQL

  1. Creating a new database with SQL and inserting new data in the database,
  2. Modifying or update previous data and retrieving data from the database,
  3. Deleting data and creating a new table in one database or even drop the table,