Blog

Blog

Everything You Need to Know About LIKE Operator in SQL

Everything You Need to Know About LIKE Operator in SQL

LIKE Operator in SQL

LIKE Operator in SQL

The LIKE operator is a powerful tool in SQL that allows you to search for specific patterns within text fields. It is a popular feature in SQL that is used to perform various types of searches, such as finding all the customers whose names start with “J” or searching for email addresses that end with “.com”. In this blog post, we will cover everything you need to know about the LIKE operator in SQL.

SQL (Structured Query Language) is a standard programming language used to manage and manipulate relational databases. It allows you to insert, update, retrieve and delete data stored in the database. SQL is used to perform various tasks such as data definition, data modification, and data retrieval. It is widely used in various applications such as data analysis, business intelligence, and web applications.

The LIKE operator in SQL is used to match patterns in character strings. It is often used in the WHERE clause of a SELECT statement to filter data based on certain conditions.

The basic syntax of the LIKE operator is:

column_name LIKE pattern

Where column_name is the name of the column you want to match against and the pattern is the pattern you want to match. The pattern can contain two special characters:

  • %: Matches zero or more characters.
  • _: Matches a single character.
Datavalley YouTube Banner
Youtube banner

Different patterns retrieved with the LIKE operator

The different patterns mentioned with LIKE operators are as follows:

Query 1: If you have to find values that start with “x”

Like operation:

WHERE columnname LIKE ‘x%’

Query 2: If you have to find values that end with “x”

Like operation:

WHERE columnname LIKE ‘%x’

Query 3: If you have to find values that have “abc” in any position

Like operation:

WHERE columnname  LIKE ‘%abc%’

Query 4: If you have to find values that have “a” in the third position

Like operation:

WHERE columnname LIKE ‘__a%’

Here, there are 2 underscores present before the letter “a”.

Query 5: If you have to find values that start with “a” and are at least 5 characters in length

Like operation:

WHERE columnname LIKE ‘a____%’

Here, there are 4 underscores present after the letter “a”.

Query 6: If you have to find values that start with “g” and end with “v”

Like operation:

WHERE columnname LIKE ‘g%v’

So, now that I have discussed the various patterns, next in this article on LIKE in SQL, let us look into some examples.

For example, to select all rows from a table where the name column starts with “J”, you can use the following query:

SELECT * FROM table_name
WHERE name LIKE 'J%';

Output:

idnamerolehire_datesalary
1John DoeManager2020-01-01100000
2Jane DoeEngineer2021-01-0190000
3John SmithAnalyst2022-01-0180000

This query will return all rows where the name column starts with “J”. The % character matches zero or more characters, so the pattern ‘J%’ will match any string that starts with “J”.

Similarly, to select all rows from a table where the name column contains the word “John”, you can use the following query:

SELECT * FROM table_name
WHERE name LIKE '%John%';

Output:

idnamerolehire_datesalary
1John DoeManager2020-01-01100000
3John SmithAnalyst2022-01-0180000

This query will return all rows where the name column contains the word “John”, regardless of the characters before or after the word. The % characters on either side of the word “John” match zero or more characters, so the pattern ‘%John%’ will match any string that contains the word “John”.

With this, we come to the end of this article. I hope you understood how to use LIKE Operator in SQL.

We will start by explaining what the LIKE operator is and how it works. We will then go through the syntax of the LIKE operator and the various wildcards that can be used with it. We will also cover some examples of how to use the LIKE operator in SQL queries, including searching for patterns at the beginning, end, or middle of a string.

Next, we will discuss the differences between the LIKE operator and the equals (=) operator, and when to use one over the other. We will also talk about the performance implications of using the LIKE operator and how to optimize queries that use it.

Furthermore, we will explore some advanced techniques that can be used with the LIKE operator, such as using multiple wildcards and combining them with other operators like OR and NOT.

Lastly, we will provide some best practices for using the LIKE operator in SQL queries and common mistakes to avoid.

Conclusion:

In conclusion, the LIKE operator is a powerful tool in SQL that allows you to search for patterns within text fields. It is a widely used feature in SQL and is essential for performing various types of searches. In this blog post, we have covered everything you need to know about the LIKE operator, including its syntax, wildcards, and examples of how to use it. We have also discussed some best practices and common mistakes to avoid. With this knowledge, you should now be able to use the LIKE operator effectively in your SQL queries.

FAQ’s

What is the LIKE operator in SQL and what is it used for?

The LIKE operator in SQL is used to match a specific pattern in a column of a table. It can be used in a WHERE clause to search for rows that match the specified pattern.

What is the syntax for the LIKE operator in SQL?

The syntax for the LIKE operator in a SQL statement is as follows: column_name LIKE pattern

What is the difference between LIKE and = operators in SQL?

The LIKE operator is used to matching a pattern, while the = operator is used to match exact values. The LIKE operator is more flexible as it allows for partial matching using wildcard characters.

Select the fields to be shown. Others will be hidden. Drag and drop to rearrange the order.
  • Image
  • SKU
  • Rating
  • Price
  • Stock
  • Availability
  • Add to cart
  • Description
  • Content
  • Weight
  • Dimensions
  • Additional information
Click outside to hide the comparison bar
Compare

Subscribe to Newsletter

Stay ahead of the rapidly evolving world of technology with our news letters. Subscribe now!