The RIGHT Join condition returns values as per below rule:

  • All the matching data values from Table A and Table B.

  • All the non-matching data values from Right Table only i.e. Table B.

SYNTAX:

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Where,

  • RIGHT JOIN                                 : keyword used for RIGHT JOIN, in order to fetch all the matching records from both the                                                                                                               table and non matching data from Right table.

  • Table_name1/Table_name2       : The name of the first/second table from where you want to fetch the data

  • Column1Name                            : The name of the columns of the table based on which you want to join.

 
 

EXAMPLE

Let us consider a demo database with two tables Persons & Salary .Following is the structure of both the tables:

Figure 34.1. LEFT TABLE PERSONS

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Figure 34.2. RIGHT TABLE SALARY

The following SQL statement selects all records from Salary Table (Right table) with matching records from Persons table (Left Table).

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Note: A Right join returns NULL from left side in case of no matching join.

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PRACTICE YOURSELF

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Want More SQL Deep Dives

  1. SQL Introduction

  2. Database Overview

  3. Creating a Database

  4. Dropping a Database

  5. Table Fundamentals

  6. Table Types

  7. Datatypes in SQL

  8. DDL, DML, TCL & DCL

  9. Null & Not Null Values

  10. Creating Tables

  11. SQL - Constraints

  12. SQL - Index 

  13. SQL Inserting Data

  14. SQL Identity Columns

  15. Selecting Data

  16. Using Distinct

  17. SQL in NOT IN

  18. Using Top Clause

  19. Where Clause

  20. Group By

  21. Order By

  22. Having

  23. Exists

  24. Offset

  25. SQL - Operators

  26. Between

  27. Update

  28. Delete

  29. SQL - Aggregate Functions

  30. SQL - Introductions to Joins

  31. Table Alias

  32. SQL - Inner Join

  33. SQL - Left Join

  34. SQL - Right Join

  35. Full Join

  36. Self Join

  37. SQL Union

  38. Pivot

  39. Alter Command

  40. Limit Clause

  41. Truncate

  42. Drop

  43. Table Backup

  44. SQL - Normalization

  45. Subquery

  46. SQL - Views & Materialized Views

  47. Case Statement

  48. SQL Transactions

  49. SQL - Scaler Functions

  50. Working with Dates

  51. Grant revoke

  52. SQL - Performance Tunning

  53. Stored Procedure Basics

  54. Stuff function

  55. Keyword

  56. SQL - Miscellaneous

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