✅Chapter 12. SQL Joins and Advanced Join Techniques in Fusion HCM
SQL Joins and Advanced Join Techniques in Oracle Fusion HCM – Combining Data from Multiple Tables
Master SQL joins and advanced techniques to combine data across multiple tables in Oracle Fusion HCM. Learn about INNER, LEFT, RIGHT, and FULL JOINs with real-world examples.
๐น Introduction
SQL joins allow you to combine data from multiple tables based on a related column. This is especially important in Oracle Fusion HCM, where employee data is distributed across different tables (e.g., assignments, jobs, and departments). Understanding how to use joins effectively helps you retrieve meaningful insights by linking relevant pieces of data.
This chapter explains different types of SQL joins, such as INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN, along with their use cases in real-world Fusion HCM scenarios.
๐น Theoretical Concepts
๐ What is a SQL Join?
A SQL JOIN combines rows from two or more tables based on a related column. There are several types of joins depending on how you want to match data:
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INNER JOIN: Returns only the rows that have matching values in both tables.
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LEFT JOIN (or LEFT OUTER JOIN): Returns all rows from the left table and the matched rows from the right table, or NULL if there is no match.
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RIGHT JOIN (or RIGHT OUTER JOIN): Returns all rows from the right table and the matched rows from the left table, or NULL if there is no match.
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FULL JOIN (or FULL OUTER JOIN): Returns rows when there is a match in either the left or right table. Non-matching rows from both tables will show NULLs.
๐ Basic Syntax for Joins
๐ Types of Joins
1. INNER JOIN
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Combines rows from both tables where there is a match.
2. LEFT JOIN
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Returns all rows from the left table and matching rows from the right table.
3. RIGHT JOIN
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Returns all rows from the right table and matching rows from the left table.
4. FULL JOIN
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Returns rows from both tables, with NULLs where there is no match.
๐น Using Joins in SQL for Fusion HCM
✅ Example 1: INNER JOIN to Combine Employee and Department Data
Scenario: Retrieve a list of employees along with their department names.
✅ Example 2: LEFT JOIN for Employees with or without Departments
Scenario: Retrieve a list of employees and their department names, including employees who don’t belong to any department.
✅ Example 3: RIGHT JOIN to Find Departments with or without Employees
Scenario: Retrieve a list of all departments, including those without employees.
✅ Example 4: FULL JOIN for Employees and Departments with Missing Data
Scenario: Retrieve a list of employees and departments, including those with no matching data.
๐น Real-Time Scenario (Fusion HCM Reporting)
๐งพ Scenario:
“Create a report showing employees, their department names, and their job titles, including employees who have no department or job title.”
✅ SQL Query:
๐น Advanced Join Techniques
✅ Example 5: Self Join to Compare Employee Salaries
Scenario: Compare the salary of each employee with the salary of employees in the same department.
✅ Example 6: Join with Subquery to Filter Data
Scenario: Retrieve a list of employees whose salary is greater than the average salary in their department.
๐น Best Practices for Using Joins in Fusion HCM
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Use INNER JOIN when you only want rows that match in both tables.
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LEFT JOIN is useful for retrieving all rows from the left table, even if there’s no match in the right table (e.g., employees without departments).
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Avoid using FULL JOIN unless absolutely necessary, as it can return a large number of NULL values, potentially impacting performance.
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When dealing with large datasets in Fusion HCM, always ensure your joins are indexed to improve performance.
๐น Summary
✅ SQL Joins are critical for combining data from multiple tables in Fusion HCM.
✅ INNER JOIN returns only matched rows, while LEFT JOIN and RIGHT JOIN include unmatched rows from one side.
✅ FULL JOIN returns all rows from both tables, with NULLs for non-matching records.
✅ Advanced techniques, like self joins and joins with subqueries, are used to compare and filter data efficiently.
๐น Next Steps
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Previous Chapter: Mastering SQL for Oracle Fusion HCM – Chapter 11. SQL Subqueries and Nested Queries in Fusion HCM
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Next Chapter: Mastering SQL for Oracle Fusion HCM – Chapter 13. SQL Window Functions and Analytics in Fusion HCM
Tags: #SQLJoins
, #FusionHCM
, #LeftJoin
, #RightJoin
, #FullJoin
, #InnerJoin
, #SelfJoin
, #AdvancedSQL
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