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SQL UNION vs UNION ALL: Key Differences Explained

Linda Hamilton

Release： 2024-12-20 05:04:13

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SQL UNION vs UNION ALL: Key Differences Explained

Difference Between UNION and UNION ALL in SQL

UNION and UNION ALL are SQL operators used to combine the results of two or more SELECT statements. While they serve similar purposes, they differ in how they handle duplicate rows.

1. UNION

Combines the results of two or more SELECT statements into a single result set.
Automatically removes duplicate rows from the result set.
Sorting: Performs an implicit DISTINCT operation to remove duplicates, which can make it slower for large datasets.

Syntax:

SELECT column1, column2
FROM table1
UNION
SELECT column1, column2
FROM table2;

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Example:

Table: Customers_USA

CustomerID	Name
1	Alice
2	Bob

Table: Customers_UK

CustomerID	Name
2	Bob
3	Charlie

Query:

SELECT Name FROM Customers_USA
UNION
SELECT Name FROM Customers_UK;

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Result:

Name
Alice
Bob
Charlie

Bob appears only once because duplicates are removed.

2. UNION ALL

Combines the results of two or more SELECT statements into a single result set.
Does not remove duplicate rows.
Faster than UNION since no duplicate-checking occurs.

Syntax:

SELECT column1, column2
FROM table1
UNION ALL
SELECT column1, column2
FROM table2;

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Example:

Using the same tables Customers_USA and Customers_UK:

Query:

SELECT Name FROM Customers_USA
UNION ALL
SELECT Name FROM Customers_UK;

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Result:

Name
Alice
Bob
Bob
Charlie

Bob appears twice because duplicates are not removed.

Key Differences

Feature

UNION

UNION ALL

Feature	UNION	UNION ALL
Duplicates	Removes duplicate rows.	Retains all rows, including duplicates.
Performance	Slower due to duplicate removal.	Faster since no duplicate-checking.
Use Case	When duplicates must be eliminated.	When duplicates are acceptable or necessary.
Sorting	Implicit sorting (deduplication).	No implicit sorting.

Duplicates

Removes duplicate rows.

Retains all rows, including duplicates.

Performance

Slower due to duplicate removal.

Faster since no duplicate-checking.

Use Case

When duplicates must be eliminated.

When duplicates are acceptable or necessary.

Sorting

Implicit sorting (deduplication).

No implicit sorting.

When to Use?

When you want a unique set of records from combined queries. Example: Combining customer lists from different regions while ensuring no duplicates.

When duplicate records are acceptable or needed.

Example: Generating a log of transactions from multiple sources without filtering duplicates.

Conclusion

Both UNION and UNION ALL are valuable tools for combining datasets in SQL. Choosing between them depends on the specific requirements of your query—whether you need duplicate removal or prioritize performance.

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