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The SQL WHERE Clause. The WHERE clause is used to filter records. It is used to extract only those records that fulfill a specified condition. Example. Select all customers from Mexico: SELECT * FROM Customers. WHERE Country='Mexico'; Try it Yourself » Syntax. SELECT column1, column2, ... FROM table_name. WHERE condition;
To filter data by multiple conditions in a WHERE clause, use the AND operator to connect the conditions. Here’s what this looks like for two conditions: WHERE condition1 AND condition2. In our example, condition1 is dept = 'Finance' and condition2 is salary > 4000.
9 cze 2023 · Example 4: WHERE Clause with Two Conditions and AND Keyword. The examples so far have shown a WHERE clause with one criteria. SQL allows you to combine two or more criteria into a single statement. This can be done in two ways: Showing rows where both criteria are true for the row; Showing rows where either criteria are true for the row.
9 lis 2021 · The basic syntax of an SQL query that uses a WHERE clause is: SELECT <column names> FROM <table name> WHERE <conditions>; The WHERE clause follows the SELECT and the FROM clauses.
4 sie 2021 · SQL WHERE Clause Syntax. You write the WHERE clause like this: SELECT column1, column2... FROM table_name WHERE condition; Note that here I've written it using the SELECT statement, but its use is not limited to SELECT. You can use it with other statements like DELETE and UPDATE as well. SQL WHERE Clause in Action.
The basic syntax of SQL Server WHERE clause is as follows. Query WHERE condition; or Query WHERE condition1 AND | OR condition2 AND | OR condition3………………; In this syntax, Query – the main query which can be a SELECT, INSERT, UPDATE or DELETE query. WHERE condition (s) – This is used to specify some conditions while selecting data.
10 maj 2022 · Learn how to use the SQL WHERE clause to filter rows. In this comprehensive article, we cover comparison operators and the BETWEEN, IN, LIKE, AND, OR, and NOT operators. Filtering output rows is one of the first things you need to learn when starting your SQL journey.
