How to use UNION ALL Operator In SQL

This approach uses the UNION ALL operator to combine the results of the anchor and recursive members within the same CTE. It efficiently traverses the hierarchy.

Example:

WITH RECURSIVE HierarchyCTE AS (
SELECT
ID,
ParentID,
Name,
0 AS Level
FROM
Organization
WHERE
ParentID IS NULL

UNION ALL

SELECT
t.ID,
t.ParentID,
t.Name,
h.Level + 1
FROM
Organization t
JOIN
HierarchyCTE h ON t.ParentID = h.ID
)

SELECT
ID,
ParentID,
Name,
Level
FROM
HierarchyCTE
ORDER BY
Level, ID;

Output:

Recursive Query using UNION ALL Operator

How to Run Hierarchical Queries with PostgreSQL?

In the area of database management, dealing with hierarchical data structures has unique challenges. Whether it’s organizational charts, category hierarchies, or file systems, efficiently querying and traversing hierarchical data is essential for many applications.

PostgreSQL, a powerful relational database management system, offers robust support for handling hierarchical queries through the use of recursive queries and Common Table Expressions (CTEs). In this article, We will learn about

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How to run Hierarchical Queries with PostgreSQL?

Hierarchical queries involve retrieving data that is structured in a tree-like format, where each record has a relationship with other records in the same table. PostgreSQL provides the WITH RECURSIVE clause along with Common Table Expressions (CTEs) to handle hierarchical queries effectively. Below are the approaches to run Hierarchical Queries with PostgreSQL:...

1. Using UNION ALL Operator

This approach uses the UNION ALL operator to combine the results of the anchor and recursive members within the same CTE. It efficiently traverses the hierarchy....

2. Using JOIN and LEVEL

This approach introduces a Level column to keep track of the depth in the hierarchy. It uses the WITH RECURSIVE clause to define the recursive operation....

3. Using Path Concatenation

This approach includes a column for path concatenation, where the path to each node is represented as a concatenated string. It can be useful when you need to track the path or lineage of each node in the hierarchy....

Conclusion

Overall, PostgreSQL’s support for hierarchical queries through recursive queries and CTEs provides a powerful tool for querying and traversing hierarchical data structures. By understanding the WITH RECURSIVE clause and the UNION ALL operator, developers can efficiently navigate complex hierarchical data models. Additionally, the ability to use path concatenation and track the depth of the hierarchy adds versatility to PostgreSQL’s hierarchical query capabilities....