SQL right outer join is also known as SQL right join. SQL OUTER JOIN – right outer join example The following example demonstrates the SQL right outer join: SELECTc.customerid, c.companyName, orderidFROMcustomers cRIGHTJOINorders oONo.customerid = c.customeridORDERBYorderidCode language:SQL...
RIGHT OUTER JOIN Example 1 – Vendor to PurchaseOrderHeader In this example we will return all PurchaseOrderHeader records with rows for each Vendor. The Primary Key of the Vendor table is BusinessEntityId and it references to the VendorID field in the PurchaseOrderheader table as a foreign k...
The following statement demonstrates how to use theRIGHT OUTER JOINwith theUSINGclause: SELECTname, order_id,statusFROMordersRIGHTJOINcustomersUSING(customer_id)ORDERBYname;Code language:SQL (Structured Query Language)(sql) In this example, all customers are included in the result set. If a custome...
Example 1: Right Outer Join In Example 1, I’ll explain how to do a right outer join. In the example, the variables ofDT_1are left, the additional variables ofDT_2are right. For combining the datasets, we take the rows ofDT_2and add the information ofDT_1for these rows. DT_12<...
For example, if a record for order number 11078 did not have any related employee records in the employee table, that record appears in the results with the value NULL in the field, lastname. You can change the results of the query by specifying filters, sort order, group, or other ...
1) Basic PostgreSQL RIGHT JOIN examples The following example uses the RIGHT JOIN clause to retrieve all rows from the film table that may or may not have corresponding rows in the inventory table: SELECT film.film_id, film.title, inventory.inventory_id FROM inventory RIGHT JOIN film ON film...
Example: Let us consider both our tables from the previous examples. Herestudentwill act as the left table andmarkswill act as the right table. All the rows from both tables are returned. This can be done using theFULL JOINclause using the below query. ...
Spark SQL Right Outer Join returns all rows from the right DataFrame regardless of math found on the left DataFrame, when the join expression doesn’t
This article uses sample data to show how to do a merge operation with the right outer join. The sample source tables for this example are: Sales: This table includes the fieldsDate,CountryID, andUnits. TheCountryIDis a whole number value that represents the unique identifier from theCountrie...
RIGHT OUTER JOIN COUNTRIES ON CITIES.COUNTRY_ISO_CODE = COUNTRIES.COUNTRY_ISO_CODE WHERE Countries.region = 'Africa'-- use the synonymous syntax, RIGHT JOIN, to achieve exactly -- the same results as in the example aboveSELECT COUNTRIES.COUNTRY, CITIES.CITY_NAME ...