The RIGHT JOIN keyword is used to combine two tables and returns all records from the right tables and only matching records from the left tables.
SELECT * FROM <TABLE1> RIGHT JOIN <TABLE2> ON <TABLE1>.<COLUMN_NAME>=<TABLE2>.<COLUMN_NAME>
SELECT * FROM Employee RIGHT JOIN Department ON Employee.Dept_Id = Department.Dept_Id
If there are no matching records in the left tables, only the right table value is displayed, and null values are substituted for the left table value.
The RIGHT JOIN clause returns a result set that includes all rows from the right tables and only matching rows from the left tables.
Original article source at: https://www.c-sharpcorner.com/
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:
1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.
2. Every database seller needs an approach to separate its item from others.
Right now, contrasts are noted where fitting.
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CROSS JOIN is in the spotlight. This article finishes our small series of SQL JOIN-related publications.
SQL Server CROSS JOIN is the simplest of all joins. It implements a combination of 2 tables without a join condition. If you have 5 rows in one table and 3 rows in another, you get 15 combinations. Another definition is a Cartesian Product.
Now, why would you want to combine tables without a join condition? Hang on a bit because we are getting there. First, let’s refer to the syntax.
#sql server #cross join #inner join #outer join #sql join #sql
SQL Right join returns all records from the right table (table2), and the matched records from the left table (table1). The result is NULL from the left side when there is no match. RIGHT JOIN performs a join starting with the second (right-most) table and then any matching first (left-most) table records.
RIGHT JOIN and RIGHT OUTER JOIN are the same.
SQL RIGHT JOIN keyword returns all the records from the right table (table2), and the matched records from a left table (table1). The result is NULL from the left side when there is no match. In some databases, the RIGHT JOIN is called RIGHT OUTER JOIN. The RIGHT JOIN clause allows us to query data from the multiple tables.
#sql #sql right #right join
Outer join is at the center stage today. And this is part 2 of your ultimate guide to SQL joins. If you missed part 1, here’s the link.
By the looks of it, outer is the opposite of inner. However, if you consider the outer join this way, you’ll be confused. To top that, you don’t have to include the word outer in your syntax explicitly. It’s optional!
But before we dive in, let’s discuss nulls concerning outer joins.
When you join 2 tables, one of the values from either table can be null. For INNER JOINs, records with nulls won’t match, and they will be discarded and won’t appear in the result set. If you want to get the records that don’t match, your only option is OUTER JOIN.
Going back to antonyms, isn’t that the opposite of INNER JOINs? Not entirely, as you will see in the next section.
#sql server #inner join #outer join #sql join #sql
Inner join, outer join, cross join? What gives?
It’s a valid question. I once saw a Visual Basic code with T-SQL codes embedded in it. The VB code retrieves table records with multiple SELECT statements, one SELECT * per table. Then, it combines multiple result sets into a record set. Absurd?
To the young developers who did it, it was not. But when they asked me to evaluate why the system was slow, that issue was the first to catch my attention. That’s right. They never heard of SQL joins. In fairness to them, they were honest and open to suggestions.
How do you describe SQL joins? Perhaps, you remember one song – Imagine by John Lennon:
You may say I’m a dreamer, but I’m not the only one.
I hope someday you’ll join us, and the world will be as one.
#sql server #inner join #sql join #t-sql #sql