Left Outer Join in SQL returns all records from the left table, and the matched records from the right table. SQL Left Join Keyword Example.
SQL Left Outer Join returns all records from the left table (table1) and the matched records from the right table (table2). SQL LEFT JOIN clause allows us to query data from the multiple tables. It returns all the rows from a left table and the matching rows from the right table. This means that the left join returns all the values from a left table, plus matched values from a right table or NULL in the case of no matching join predicate.
In some SQL databased LEFT OUTER JOIN is also called as LEFT JOIN.
The syntax of SQL Left Join is the following.
SELECT column_name(s) FROM table1 LEFT JOIN table2 ON table1.column_name = table2.column_name;
In this syntax, table1 and table2 are the left and right tables, respectively.
For each row from the table1 table, the query compares it with all the rows from the table2 table. If the pair of rows causes the join predicate to evaluate to true, the column values from these rows will be in the combined form to the new row, which then included in the final result set.
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.
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Debug SQL stored procedures and develop your SQL database project with dbForge SQL Complete, a new add-in for Visual Studio and SSMS. When you develop large chunks of T-SQL code with the help of the SQL Server Management Studio tool, it is essential to test the “Live” behavior of your code by making sure that each small piece of code works fine and being able to allocate any error message that may cause a failure within that code.
SQL CROSS JOIN clause is used to combine rows from two or more tables, based on a related column between them.