<blockquote><p>The WHERE clause is used to filter data from a table by selecting specific rows based on specified conditions. Conditions can be a combination of column names, operators, and constants, and conditions can be combined using the AND and OR operators. Benefits include improved query performance, data accuracy, and flexibility. </p></blockquote>
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<p><strong>Usage of WHERE clause in SQL</strong></p>
<p>The WHERE clause is used to filter data from a table. It allows you to select specific rows or records based on specified criteria. </p>
<p><strong>Syntax: </strong></p>
<div class="code" style="position:relative; padding:0px; margin:0px;"><pre class="brush:php;toolbar:false"><code>SELECT *
FROM table_name
WHERE condition;</code></pre><div class="contentsignin">Copy after login</div></div>
<p><strong>Conditions: </strong></p>
<p>Conditions are expressions used to filter data. It can be a combination of column names, operators, and constants. </p>
<p><strong>Operators: </strong></p>
<p>Commonly used operators include: </p>
<ul>
<li> is equal to (<code>=</code>)</li>
<li>Not equal to (<code><></code>)</li>
<li>Greater than (<code>></code>)</li>
<li>Less than (<code><</code>) </li><li>Greater than or equal to (<code>>=</code>)</li>
<li>Less than or equal to (<code><=</code>)</li></ul><p><strong> AND and OR: </strong></p><p>You can combine conditions using the <code>AND</code> and <code>OR</code> operators. </p><ul><li><code>AND</code> operator returns rows that satisfy all conditions. </li><li><code>OR</code> operator returns rows that satisfy any condition. </li></ul><p><strong>Example: </strong></p><p>The following is a query that selects all customers older than 25 years old from a table named "customers": </p><pre class="brush:php;toolbar:false"><code>SELECT *
FROM customers
WHERE age > 25;</code> <p><strong>Benefits of using the WHERE clause: </strong></p>
<p>The WHERE clause provides the following benefits: </p>
<ul>
<li>Improving query performance by filtering unnecessary data Reduce processing time. </li>
<li>Improve data accuracy and ensure correct results are returned by selecting only rows that meet specified conditions. </li>
<li> Improve query flexibility, allowing you to dynamically filter data as needed. </li>
</ul>
</li>
</ul>
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