SQL RIGHT JOIN

SQL RIGHT JOIN


The SQL RIGHT JOIN keyword returns all records from the right side table (tableB), with the matching records in the left side table (tableA).

The query result is NULL in the left side table when there is no match records.



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SQL RIGHT JOIN Syntax


SELECT column_name1, column_name2, ...column_nameN
FROM table_name1
RIGHT JOIN table_name2
ON table1.column_name1 = table2.column_name1;

or


SELECT column_name1, column_name2, ...column_nameN
FROM table_name1
RIGHT OUTER JOIN table_name2
ON table1.column_name1 = table2.column_name1;

Note: In some databases RIGHT JOIN is called RIGHT OUTER JOIN.

SQL RIGHT JOIN


Sample Database Table - Books

BookId BookName BookPrice RelYear DomainName AuthorName
3 SQL Server 2008 Transact-Sql 200 2006 Administration Siva Kumar
4 Professional Microsoft SQL Server 90 2015 Database Vidyavathi
6 Simply MySql 190 2012 Optimization Nirmala
7 SQL Server Database Internals 150 2006 Security Dharan
8 Mastering Oracle SQL 136.33 2012 Performance Nirmala
9 Oracle Interview Questions 65 2015 Administration Chandra

Sample Database Table - BookOrder

BookID OrderDate Qty DeliveryDate
1 12-02-2005 16 18-03-2005
2 18-02-1996 2 21-03-1996
4 19-08-2007 18 25-08-2007
6 14-01-2004 10 17-02-2004
8 14-08-2008 1 24-08-2008
12 18-06-2002 6 25-06-2002

Note:- There must be a common columns while selecting columns from multiple tables. In the "BookOrder" and "Books" both tables contains a common column called "ID".


SQL RIGHT JOIN - Example

Notice that the "BookID" column in the "Books" table refers to the "BookID" in the "BookOrder" table. The relationship between the two tables above is the "BookID" column.

Then, if we run the following SQL statement (that contains an RIGHT JOIN):


SELECT 
BookOrder.BookID, BookOrder.BookName, Books.BookPrice, Books.RelYear, BookOrder.DeliveryDate
FROM Books
RIGHT JOIN BookOrder
ON Books.BookID = BookOrder.BookID;

The result of above query is:

BookID BookName BookPrice RelYear DeliveryDate
1 Securing SQL Server 18-03-2005
2 PHP And MySQL Bible 21-03-1996
4 Professional Microsoft SQL Server 90 2015 25-08-2007
6 Simply MySql 190 2012 17-02-2004
8 Mastering Oracle SQL 136.33 2012 24-08-2008
12 MySql Interview Questions 25-06-2002

Note: The SQL RIGHT JOIN keyword returns all the records from the right side table (Books), even if there are no matches in the left side table (BookOrder).



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SQL Right Join with Delete

On the basis of complicated WHERE clauses, we sometimes need to update or delete records.

Remove JOIN is an advanced structured query language (SQL) command that is used to delete rows from various tables using SQL JOIN, such that all rows from one table are deleted and the corresponding rows in another table are deleted, or based on the type of join operation performed in the query. DELETE and JOIN commands are essentially combined.

JOIN operations can be included in a DELETE statement.

JOIN operations can be zero, one, or several.

The DELETE command deletes records that meet the JOIN criteria.

SQL Syntax for delete JOIN:

DELETE t1
FROM table_name1 AS t1 JOIN {INNER, RIGHT,LEFT,FULL} table_name1 AS t2
ON t1.column_name = t2.column_name
WHERE condition;

When we wish to delete all data from one table (right) while keeping only the corresponding data from the other table, we need to use a SQL DELETE RIGHT join.

Example 1: Remove products that have not sold.

DELETE P
  FROM Product P
  RIGHT JOIN OrderItem I ON P.Id = I.ProductId
 WHERE I.Id IS NULL;

Example 2: SQL Query to Illustrate DELETE RIGHT JOIN

When we need to eliminate anything in the activities and employee tables related to the sales and marketing department, Using a DELETE with RIGHT JOIN, we can now remove the department from the department table.

DELETE t2
FROM employees AS t1 RIGHT JOIN department AS t2
ON t1.departmentid = t2.departmentid
WHERE t2.departmentid NOT IN (SELECT t1.departmentid FROM employees as t1);

Note that we need to specify FROM twice, one for DELETE part and one for RIGHT JOIN part.


SQL Right Join and Left Join

LEFT JOIN and RIGHT JOIN are the two main types of joins in MySQL. The addition of non-matched rows is the key distinction between both joins. An INNER JOIN can be nested inside a LEFT JOIN or a RIGHT JOIN, but it cannot be nested within a LEFT JOIN or a RIGHT JOIN.

LEFT JOIN RIGHT JOIN
It connects two or more tables and returns all entries from the first (left) of the two tables, even if the second (right) table has no matching values. It joins two or more tables and returns all entries from the second (right) table, even if the first (left) table has no matching data.
If there is no comparable row on the right side table, the result set will have a null value. If no matching row on the left side table exists, the result set will have a null value.
To make a left outer join, use the LEFT JOIN procedure. To make a right outer join, use the RIGHT JOIN procedure.
The result of the LEFT OUTER join is INNER JOIN + mismatched rows from the left table. The INNER JOIN + mismatched rows from the right side table equals the outcome of the RIGHT OUTER JOIN.
In SQL left outer join is written as *=. The right outer join is written as =*.

Syntax:

FROM table1 [ LEFT | RIGHT ] JOIN table2
ON table1.field1compopr table2.field2

The LEFT JOIN and RIGHT JOIN operations have these parts:

table1, table2 - The names of the tables from which records are combined.

field1, field2 - The names of the fields that have been linked together. The fields must be of the same data type and include the same type of information, but they do not have to be named the same.

compopr - Any relational comparison operator: "=," "<," ">," "<=," ">=," or "<>."

Example 1: LEFT JOIN Example

Following SQL statement returns the matching records from both tables using the LEFT JOIN query:

SELECT cust_id, cust_name, 
order_num, order_date  
FROM customer LEFT JOIN orders   
ON customer.cust_id = orders.order_id  
WHERE order_date < '2020-04-30';  

RIGHT JOIN Example

Following SQL statement returns the matching records from both tables using the RIGHT JOIN query:

SELECT cust_id, cust_name, 
occupation, order_num, order_date    
FROM customer  
RIGHT JOIN orders ON cust_id = order_id    
ORDER BY order_date;  

Example 2: Left join

SELECT *
FROM
teams t
LEFT JOIN developers d
ON t.id = d.team_id ;

Right join

SELECT *
FROM
teams t
RIGHT JOIN developers d
ON t.id = d.team_id ;

SQL Right Join

In SQL, the RIGHT JOIN keyword returns all matched records (or rows) as well as records that are available in the right table but not in the left table. This implies that if the ON clause returns NULL in each field from the left table, the join will still return a row in the result.

If a row appears in the right table but not in the left, the output will include it, but with NULL values in each column from the left.

Syntax:

The syntax for a RIGHT JOIN is :-

SELECT column_name(s) 
FROM tableA 
RIGHT JOIN tableB ON tableA.column_name = tableB.column_name;

Example 1: SQL RIGHT JOIN EXAMPLE:

We'll look at two tables in this instance. The employee table provides information about the employees who work in the department, and the department table contains information about the department employee table :

Emp_no Emp_name Dept_no
E1 Varun Singhal D1
E2 Amirtha Aggarwal D2
E3 Ravi Anand D3

department table :

Dept_no D_name Location
D1 IT Delhi
D2 HR Hyderabad
D3 Finance Pune
D4 Testing Noida
D5 Marketing Mathura

To perform right- join on these two tables we will use the following SQL query:

select emp_no , emp_name ,d_name, location 
from employee 
right join dept on employee.dept_no = department.dept_no;

Example 2: let us take an example with 2 tables table1 is CUSTOMERS table and table2 is ORDERS table.

CUSTOMER TABLE:

ID NAME AGE Salary
1 ARYAN 51 56000
2 AROHI 21 25000
3 VINEET 24 31000
4 AJEET 23 32000
5 RAVI 23 42000

and this is the second table:

ORDER TABLE:

DATE )_ID CUSTOMER_ID AMOUNT
20-01-2012 001 2 3000
12-02-2012 002 2 2000
22-03-2012 003 3 4000
11-04-2012 004 4 5000

Here we will join these two tables with SQL RIGHT JOIN:

SELECT ID,NAME,AMOUNT,DATE  
FROM CUSTOMER  
RIGHT JOIN ORDER  
ON CUSTOMER.ID = ORDER.CUSTOMER_ID;

Output:

ID NAME AMOUNT DATE
2 AROHI 3000 20-01-2012
2 AROHI 2000 12-02-2012
3 VINEET 4000 22-03-2012
4 AJEET 5000 11-04-2012

Example 3: Consider the following two tables,

Table 1 − CUSTOMERS Table is as follows.

ID NAME AGE ADDRESS SALARY
1 Ramesh 32 Ahmedabad 2000.00
2 Khilan 25 Delhi 1500.00
3 kaushik 23 Kota 2000.00
4 Chaitali 25 Mumbai 6500.00
5 Hardik 27 Bhopal 8500.00
6 Komal 22 MP 4500.00
7 Muffy 24 Indore 10000.00

Table 2 − ORDERS Table is as follows.

OID DATE CUSTOMER_ID AMOUNT
102 2009-10-08 00:00:00 3 3000
100 2009-10-08 00:00:00 3 1500
101 2009-11-20 00:00:00 2 1560
103 2008-05-20 00:00:00 4 2060

Now, let us join these two tables using the RIGHT JOIN as follows.

SELECT  ID, NAME, AMOUNT, DATE
FROM CUSTOMERS
RIGHT JOIN ORDERS
ON CUSTOMERS.ID = ORDERS.CUSTOMER_ID;

Output :

ID NAME AMOUNT DATE
3 kaushik 3000 2009-10-08 00:00:00
3 Kaushik 1500 2009-10-08 00:00:00
2 khilan 1560 2009-11-20 00:00:00
4 Chaitali 2060 2008-05-20 00:00:00

Example 4: Example of SQL Right join or right outer join:

Sample table: foods

ITEM_ID ITEM_NAME ITEM_UNIT COMPANY_ID
1 Chex Mix Pcs 16
6 Cheez-It Pcs 15
2 BN Biscuit Pcs 15
3 Mighty Munch Pcs 17
4 Pot Rice Pcs 15
5 Jaffa Cakes Pcs 18
7 Salt n Shake Pcs

Sample table: company

COMPANY_ID COMPANY_NAME COMPANY_CITY
18 Order All Boston
15 Jack Hill Ltd London
16 Akas Foods Delhi
17 Foodies London
19 sip-n-Bite New York

To get company ID, company name and company city columns from company table and company ID, item name columns from foods table, after an OUTER JOINING with these mentioned tables, the following SQL statement can be used:

SQL Code:

SELECT company.company_id,company.company_name,
company.company_city,foods.company_id,foods.item_name
FROM   company
RIGHT JOIN foods
ON company.company_id = foods.company_id;

SQL Right Join Both Sides

All rows from the right table are returned, as well as all corresponding rows from the left table.

Syntax:

The syntax of the SQL right outer join is as follows:

SELECT column1, column2... 
FROM table_A
RIGHT JOIN table_B ON join_condition
WHERE row_condition

SQL right outer join is also known as SQL right join.

Example: The following example demonstrates the SQL right outer join:

SELECT c.customerid, 
 c.companyName,
 orderid
FROM customers c
RIGHT JOIN orders o ON o.customerid = c.customerid
ORDER BY orderid;

The query returns all entries from the orders table as well as all rows from the customers table that match.


SQL Right Join Count

FULL JOIN will deliver the JOINed results as well as any non-matched entries from both tables.

Example 1: These will only come from the artists table in this dataset, and the result will be the same as our RIGHT JOIN:

SELECT count(*) FROM albums FULL JOIN artists ON albums.artist_id = artists.id;

Example 2: Count a specific field in the changes_cc table vs counting *:

SELECT u.id, realname, username, COUNT(c.id) as num
FROM users u 
    RIGHT JOIN changes_cc c 
        ON u.user_id = c.id
GROUP BY u.id

LEFT JOIN over a RIGHT JOIN, but they are both OUTER JOINs and work the same.

Example 3: sql rightjoin with count

select deptno, count(*)
from employees e
 right outer join
 departments d
 using (deptno)
 group by deptno;

Output:

DEPTNO COUNT()*
30 3
20 3
40 2
10 3
drop table employees;

SQL Right Join with Distinct

If you choose distinct at the start, the result will be stripped of all computed rows. Only join if the values are distinct.

Example 1: I have 2 tables a and b where a.id is in b 0, 1 or many times.

All I'm wondering is if there is a more efficient way of saying

SELECT DISTINCT a.*, b.a_id
FROM a
RIGHT JOIN b ON b.a_id = a.id

given that a is really a complex sql statement on its own.

Example 2:

To connect and distribute knowledge in a single, well-structured, searchable location. I'd like to conduct a ValTbl join, but only for distinct values.

select distinct a.FirstName, a.LastName, v.District
from AddTbl a
right join ValTbl v
on a.LastName = v.LastName
order by a.FirstName;

SQL Right Join with Groupby

Example: use right join:

SELECT a.col, 
SUM(b.col) as sumof
FROM 
TableB b 
RIGHT JOIN
TableA a
ON 
b.col = a.col
GROUP BY
a.col;

The "table with solid data" must be titled after the words "RIGHT JOIN," while the "table with lacking data" must be named first. Because you write from left to right, you should always use LEFT join. Then attach the "tables with data holes" to the "tables that are solid," so the reliable data is on the left and the data with holes is joined to it.


SQL Right Join in Where

With a FULL JOIN, MySQL uses the When clause to return just those rows where the connecting tables have no corresponding data.

It also enables us to restrict the records returned using the Where Clause.

Example 1: The following query only returns companies with no corresponding food products in foods, as well as food products in foods that are not matched to the listed company.

SELECT a.company_id AS "a.ComID", 
a.company_name AS "C_Name",
b.company_id AS "b.ComID", 
b.item_name AS "I_Name" 
FROM   company a
FULL JOIN foods b
ON a.company_id = b.company_id
WHERE a.company_id IS NULL 
OR b.company_id IS NULL 
ORDER BY company_name;

Output:

a.ComID C_Name b.ComID I_Name
19 sip-n-Bite Salt n Shake

Example 2: In this example, we use WHERE Clause along with the SQL Right Outer Join.

SELECT Emp.[FirstName] AS [First Name]
 ,Emp.[LastName] AS [Last Name]
 ,Dept.[DepartmentName] AS [Department Name]
FROM [Employee] AS Emp
RIGHT JOIN
 [Department] AS Dept ON
 Emp.[DepartID] = Dept.[id]
WHERE Emp.[FirstName] IS NOT NULL;

Example 3: The following example illustrates this with the Right Join clause:

SELECT * FROM customers  
RIGHT JOIN orders USING(customer_id)  
WHERE price>2500 AND price<5000;

SQL Right Join Multiple Columns

Multiple columns from separate tables can be computed for the right join.

Tip: The left table in a join query is the one that occurs first in the JOIN clause, followed by the right table.

Example 1: The result contains all tables. There are no matching rows from the Customers table in the tables with numbers 1 and 5. As a result, the CustomerID and Name columns are both NULL.

You exchange the position of tables as shown here.

Select T.TableNo, C.CustomerID,C.Name
From Tables T
Right join Customers C
on (C.CustomerID=T.CustomerID)

Example 2: The Orders table is where the query and data are created. As a result, we've split the data into two tables. To query the data and retrieve the results, we'll use SQL RIGHT JOIN.

SELECT p.ProductID,
  p.ProductName,
  o.OrderDate
FROM Products p
RIGHT JOIN Orders o ON o.ProductID = p.ProductID
ORDER BY o.OrderID;

Example 3: By linking the employees and departments tables together using the common dept_id field, the following statement gets all accessible departments as well as the id, name, and hiring date of the employees that correspond to that department.

SELECT t1.emp_id, t1.emp_name, t1.hire_date, t2.dept_name
FROM employees AS t1 RIGHT JOIN departments AS t2
ON t1.dept_id = t2.dept_id ORDER BY dept_name;

SQL Right Join Null

The right outer join retrieves all matched records from both tables as well as all non-matching records from the right-hand table. Non-matching records will be assigned the value NULL in this situation. If we need to do a Right Outer Join, we'll need to filter out any entries with NULL values in the where condition.

Example 1: List customers that have not placed orders.

SELECT FirstName, LastName, City, Country, TotalAmount
FROM [Order] O 
RIGHT JOIN Customer C ON O.CustomerId = C.Id
WHERE TotalAmount IS NULL;

This returns customers that, when joined, have no matching order.

Output:

FIRSTNAME LASTNAME CITY COUNTRY TOTALAMOUNT
Diego Roel Madrid Spain NULL
Marie Bertland Paris France NULL

Example 2: The following Right OuterJoin Query with the where clause does the same:

SELECT Cand.CandidateId, 
  Cand.FullName, 
  Cand.CompanyId, 
  Comp.CompanyId, 
  Comp.CompanyName 
FROM Candidate Cand 
Right JOIN Company Comp 
ON Cand.CompanyId = Comp.CompanyId
WHERE Cand.CompanyId IS NULL;

SQL Right Join Subquery

Example 1: To get the result set using a subquery and the RIGHT JOIN clause:

SELECT DISTINCT Customers.customer_id, Customers.first_name
FROM Customers
RIGHT JOIN Orders
ON Customers.customer_id = Orders.customer_id
ORDER BY Customers.customer_id;

Example 2: Subquery in Right Join :

Select Cu.CustomerID,Cu.Name, Ord.Amount
From Customers Cu
Right join ( Select CustomerID, Sum(Amount) As Amount
       From Orders 
    Group by CustomerID) Ord
On (Cu.CustomerID= Ord.CustomerID)

Example 3: You didn't select post_id in the subquery. You have to select it in the subquery like this:

SELECT wp_woocommerce_order_items.order_id As No_Commande
FROM  wp_woocommerce_order_items
RIGHT JOIN 
    (
  SELECT meta_value As Prenom, post_id  -- <----- this
  FROM wp_postmeta
  WHERE meta_key = '_shipping_first_name'
 ) AS a
ON wp_woocommerce_order_items.order_id = a.post_id
WHERE  wp_woocommerce_order_items.order_id =2198 

SQL Right Join Three Tables

The select statement with the RIGHT JOIN keyword returns a new result table by joining three tables with all the records of the right table and corresponding values of the left tables.

Syntax :

You can join 3 tables using the following INNER JOIN syntax –

SELECT table1.column1_name, table1.column2_name,..., 
 table2.column1_name, table2.column2_name,..., 
 table3.column1_name, table3.column2_name,..., 
FROM table1
RIGHT JOIN table2 ON table1.table1_id = table2.table1_id 
RIGHT JOIN table3 ON table2.table2_id  = table3.table2_id;

Example 1: Lets consider the below three table:

The PetTypes table:

PetTypeId PetType
1 Bird
2 Cat
3 Dog
4 Rabbit

The Pets table:

PetId PetTypeId OwnerId PetName DOB
1 2 3 Fluffy 2020-11-20
2 3 3 Fetch 2019-08-16
3 2 2 Scratch 2018-10-01
4 3 3 Wag 2020-03-15
5 1 1 Tweet 2020-11-28
6 3 4 Fluffy 2020-09-17
7 3 2 Bark NULL
8 2 4 Meow NULL

The Owners table:

OwnerId FirstName LastName Phone Email
1 Homer Connery (308) 555-0100 homer@example.com
2 Bart Pitt (231) 465-3497 bart@example.com
3 Nancy Simpson (489) 591-0408 NULL
4 Boris Trump (349) 611-8908 NULL
5 Woody Eastwood (308) 555-0112 woody@example.com

Here’s an example of performing a right join on all three tables.

SELECT p.PetName,
 pt.PetType,
 CONCAT(o.FirstName, ' ', o.LastName) AS PetOwner
FROM Pets p RIGHT JOIN PetTypes pt 
 ON p.PetTypeId = pt.PetTypeId
RIGHT JOIN Owners o 
 ON p.OwnerId = o.OwnerId;

Output:

PetName PetType PetOwner
Tweet Bird Homer Connery
Scratch Cat Bart Pitt
Bark Dog Bart Pitt
Fluffy Cat Nancy Simpson
Fetch Dog Nancy Simpson
Wag Dog Nancy Simpson
Fluffy Dog Boris Trump
Meow Cat Boris Trump
NULL NULL Woody Eastwood

Example 2: Imagine the following scenario: We've built two tables, "customers" and "orders." Create a new table called "contacts" that has the following information:

Execute the following statement to join the three table customers, orders, and contacts:

SELECT customers.customer_id, 
cust_name, order_id, price, cellphone  
FROM customers  
RIGHT JOIN contacts ON customer_id = contact_id  
RIGHT JOIN orders ON customers.customer_id = orders.customer_id ORDER BY order_id; 

Example 3:

SELECT students.full_name, students.gender, 
contacts.mobile_number, contacts.email_address, universities.university_name
FROM universities
RIGHT JOIN students ON universities.university_id = students.university_id
RIGHT JOIN contacts ON students.student_id = contacts.student_id;

Output :

full_name gender mobile_number email_address university_name
Noor Kha Male 2222222222 aaaa222@gmail.com SRM University
Avneesh Mishra Male 5555555555 bbbb555@gmail.com Amity University
Monika Singh Female 7777777777 cccc777@gmail.com Anna University
Aaliya Khan Female 8888888888 dddd888@gmail.com Hindustan University
Aaliya Khan Female 1010101010 eeee101@gmail.com Hindustan University
Aaliya Khan Female 1212121212 ffff121@gmail.com Hindustan University
Avneesh Mishra Male 1313131313 gggg131@gmail.com Amity University
Avneesh Mishra Male 1414141414 iiii141@gmail.com Amity University
NULL NULL 1515151515 jjjj151@gmail.com NULL

Example 4: apply the query. Which is given below:

Select stu.s_id, 
course.coursename, marks.marks, stu.s_name
from stu Right join marks
On stu.s_id= marks.s_id
Right join course
on marks.course_id = course.course_id ;

SQL Right Join vs Right Outer Join

The PostgreSQL RIGHT JOIN joins two tables and retrieves rows depending on a criteria that is met in both tables, with unmatched rows obtainable from the table created following the JOIN clause.

There is no distinction between a RIGHT JOIN and a RIGHT OUTER JOIN in SQL Server. They generate the same result and behave similarly.

So, in case of RIGHT JOIN or RIGHT OUTER JOIN, PostgreSQL -

1. selects all values from the right table.

2. merges them with the column names from the left table (as given in the criteria).

3. Retrieve the matched rows from both related tables.

4. assigns the value of every column in the left table that does not match the right table to NULL.

Syntax:

Select *
FROM table1
RIGHT [ OUTER ] JOIN table2
ON table1.column_name=table2.column_name;

Example 1:

SELECT invoice.invoice_no,invoice.sold_qty,
item.item_no,item_descrip
FROM invoice
RIGHT JOIN item
ON item.item_no=invoice.item_no;

OR

SELECT invoice.invoice_no,invoice.sold_qty,
item.item_no,item_descrip
FROM invoice
RIGHT OUTER JOIN item
ON item.item_no=invoice.item_no;

Example 2: Let us demonstrate that there is no difference between RIGHT JOIN and RIGHT OUTER JOIN using instances. Generate a demo database with two tables, Customers and Orders, and sample data by running the script below :

RIGHT JOIN

SELECT * 
FROM Customers C 
RIGHT JOIN Orders O
ON O.CustomerId = C.CustomerId

RIGHT OUTER JOIN

SELECT * 
FROM Customers C 
RIGHT OUTER JOIN Orders O
ON O.CustomerId = C.CustomerId

SQL Right Join Without Duplicates

To make rows with multiple sets of data identical, sort column values in a certain order inside rows. Then you can delete duplicates with SELECT DISTINCT.

Example 1: I'm using Access and am attempting to query all the data from the RIGHT TABLE to see if they have connected records in the LEFT TABLE. The RIGHT JOIN I'm using is showing duplicates of the records in A (for example, if a record in A has 5 related/linked records in B, record A will appear 5 times). I only want to show the records from A once.

Current query:

SELECT A.ID, A.variable1, 
A.variable2, B.ID, B.variable1, B.variable2
FROM A RIGHT JOIN B ON A.ID = B.ID
ORDER BY A.variable1;

Example 2: Right join to remove duplicate records:

select a.*,  meansale from 
(select distinct * from table2)a
right  join
(select distinct  GVKEY, year, meansale from table 2)b
on  a.gvkey=b.gvkey
and a.lag_year=b.year;

SQL Right Join on Multiple Condition

Example 1: fetch posts with multiple filters, my database is as below,

"Meta" Table

id meta_key meta_value object_name object_id
2 location new city post 2
1 post_type section post post 2

"Posts" Table

id title except description mime_type status parent post_class dtime sort_id author_id time
2 testing -1 post 2021-04-12 0 0 03:06:06
1 test post someDescription active -1 post 2021-04-12 0 1 12:09:03
SELECT p.id,90p.title
FROM posts p
RIGHT JOIN meta m
ON p.id = m.object_id and m.object_name='post'
WHERE m.meta_key='location' and m.meta_value='new city'
and m.meta_key='post_type' and m.meta_value='section'
group by p.id

and I tried the above SQL but trouble is I am unable to form right conditional statement, i need to get all the post which have meta key 'post type' with value 'section' and meta key 'location' with value 'new city'.

Example 2: Just move the extra condition into the RIGHT JOIN ON multiple criteria, this way the existence of b is not required to return a result:

SELECT a.* FROM a 
 RIGHT JOIN b ON a.group_id=b.group_id AND b.user_id!=$_SESSION{['user_id']} 
 WHERE a.keyword LIKE '%".$keyword."%' 
 GROUP BY group_id;

Example 3: Right Join Multiple Conditions

Select Cu.CustomerID,Cu.Name, Ord.OrderDate, Ord.Amount
From Orders Ord
Right join Customers Cu
On (Cu.CustomerID= Ord.CustomerID and OrderDate='2019-12-10')

SQL Right Outer Join

When joining tables, the Right Outer Join technique is used. It is used in SQL Server to extract all matching records from both tables engaged in the join, as well as all non-matching records from the right-hand table. In that situation, the null value will be assigned to the unmatched data.

Unmatched rows from only the table specified following the RIGHT OUTER JOIN clause are included in the output.

The MySQL Right Outer Join is a Join Type that returns all existing records (or rows) from the Right table, as well as matching rows from the Left table. The NULL values were supplied for all the unmatched rows from the left table.

The Right Outer Join in MySQL is also known as Right Join. As a result, using the Outer Keyword is optional.

Syntax:

The basic syntax of MySQL Right outer Join is as shown below:

SELECT Table1. Column(s), Table2. Column(s)
FROM Table1
 RIGHT OUTER JOIN Table2 
 ON Table1.Common_Column = Table2.Common_Column

Example 1: The query that follows is an instance of a Right Outer Join that joins the Company and Candidate tables, yielding the results displayed in the figure above.

SELECT Cand.CandidateId, 
 Cand.FullName, 
 Cand.CompanyId, 
 Comp.CompanyId, 
 Comp.CompanyName 
FROM Candidate Cand 
RIGHT OUTER JOIN Company Comp 
ON Cand.CompanyId = Comp.CompanyId

If you look at the diagram above, we have 6 rows. We got all of the matching rows from both tables, as well as non-matching data from the Company Table on the right side. You can use the right join keyword rather than the right outer join keyword. As a right outer join, this will likewise operate as intended.

Example 2: The tables from the sample data are used for joins in the given description. Perform this query to include rows from the PRODUCTS table that have no equivalent rows in the PARTS table:

SELECT PART, SUPPLIER, PRODUCTS.PROD#, PRODUCT, PRICE
  FROM PARTS RIGHT OUTER JOIN PRODUCTS
  ON PARTS.PROD# = PRODUCTS.PROD#
  AND PRODUCTS.PRICE>10.00;

Output:

PART SUPPLIER PROD# PRODUCT PRICE
WIRE ACWF 10 GENERATOR 45.75
MAGNETS BATEMAN 10 GENERATOR 45.75
BLADES ACE_STEEL 205 SAW 18.90
------- -------- 30 RELAY 7.55
-------- ------- 505 SCREWDRIVER 3.70

Only if the product number of a row in the PARTS table matches the product number of a row in the PRODUCTS table and the price for that row is greater than ten dollars is that row included in the result table.

Because the PRODUCTS table can include rows in the result table with nonmatching product numbers and the PRICE column is in the PRODUCTS table, rows with PRICE less than or equal to 10.00 are included in the result. These rows in the result table have null values in the PARTS columns.

Example 3: The right outer join query below displays all of the columns in the Department table, as well as matching records from the Employ table.

USE company;
SELECT *  FROM employ
RIGHT OUTER JOIN department
ON employ.DeptID = department.DeptID;

MySQL's right outer join is presenting 12 records from the department table and the Employ table in the screenshot beneath. However, the employ table's last two rows return NULL values. The reason for this is that the DeptID for those records in the Employ database is NULLS.