3 Frequent Methods to Use SQL BETWEEN Operator

Introduction

On this article, we look at the basic SQL BETWEEN operator and look at its functions, necessities, and adaptableness to totally different sorts of knowledge. You’ll acquire a radical understanding of how one can use the BETWEEN operator in your SQL queries, from comprehending the basic syntax to utilizing it in real-world situations with dates, numbers, and texts. We additionally supply finest practices and insights on attainable risks to ensure appropriate outcomes, making this a helpful handbook for anybody wishing to enhance their SQL talents.

Overview

• Perceive the aim and syntax of the SQL BETWEEN operator for filtering information in relational databases.
• Apply the SQL BETWEEN to successfully filter date ranges in SQL queries.
• Make the most of the SQL BETWEEN operator to filter numeric information inside specified ranges in SQL queries.
• Implement the SQL BETWEEN operator to filter strings primarily based on alphabetical order in SQL queries.
• Observe finest practices and keep away from widespread pitfalls when utilizing the SQL BETWEEN operator in SQL queries.

What’s SQL Between?

To know and work with relational databases higher, it’s important to first perceive what constitutes a single situation. A situation in SQL consists of a number of expressions mixed with a number of operators. Expressions will be assorted, together with:

• Numbers
• Columns in a desk or view
• String literals, like ‘Teller’
• Constructed-in features, akin to `concat(‘Studying’, ‘ ‘, ‘SQL’)`
• Subqueries
• Lists of expressions, akin to `(‘Teller’, ‘Head Teller’, ‘Operations Supervisor’)`

Operators utilized in circumstances embrace:

• Comparability Operators: =, !=, <, >, <>, LIKE, IN, and BETWEEN
• Arithmetic Operators: +, −, *, and /

Within the upcoming sections, let’s have a look at the “BETWEEN” operator intimately and likewise have a look at its syntax.

Purposes of the BETWEEN Operator

When each an higher and decrease restrict for a spread are required, the BETWEEN operator generally is a extra helpful possibility than utilizing two separate circumstances.

Utilizing BETWEEN on Dates

SELECT emp_id, fname, lname, start_date
FROM worker
WHERE start_date BETWEEN '2005-01-01' AND '2007-01-01';

This question retrieves all workers whose begin date falls inside 1 Jan, 2005 to 1 Jan, 2007.   Right here is the outcome:

When utilizing the BETWEEN operator, be mindful to all the time specify the decrease restrict first, adopted by the higher restrict. If you happen to reverse them:

SELECT emp_id, fname, lname, start_date
FROM worker
WHERE start_date BETWEEN '2007-01-01' AND '2005-01-01';

This question returns no outcomes as a result of it’s equal to:

SELECT emp_id, fname, lname, start_date
FROM worker
WHERE start_date >= '2007-01-01'
AND start_date <= '2005-01-01';

It’s unimaginable to fulfill each circumstances concurrently, leading to an empty set. 

Moreover, do not forget that this operator consists of the boundary values. So, in case your supposed vary is from January 1, 2005, to December 31, 2006, guarantee your question displays that precisely to keep away from unintended inclusions or exclusions.

Utilizing BETWEEN in Numeric Knowledge

SELECT account_id, product_cd, cust_id, avail_balance
FROM account
WHERE avail_balance BETWEEN 3000 AND 5000 order by avail_balance;

This question retrieves all accounts with balances between $3,000 and $5,000:

BETWEEN in Strings

SELECT emp_id, fname, lname, start_date
FROM worker
WHERE fname BETWEEN 'Laura' AND 'Susan';

This question will retrieve the data containing names between Laura and Susan in dictionary order together with each Laura and Susan from the beforehand seen Worker desk.

Additionally Learn: Understanding SQL Not Equal Operator

Conclusion

The BETWEEN clause is a necessary operator in SQL. Whether or not working with dates, numbers, and even strings, it simplifies circumstances that may in any other case require a number of comparability operators. Keep in mind to all the time specify the decrease restrict first and be aware that the vary consists of the boundary values. By understanding and using them successfully, it would make working relational databases a lot simpler. 

Regularly Requested Questions