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Discover how to retrieve the `number of rows` from a prepared statement in PHP using MySQLi without a limit clause.
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How to Get the Count of Rows in a Prepared Statement with PHP and MySQLi

When working with databases, especially when using prepared statements in PHP and MySQLi, you may find yourself needing to get a count of rows returned from a query. If you've implemented a query with a LIMIT clause, you may encounter difficulty in obtaining the total number of matching rows. In this guide, we will explore how you can efficiently retrieve this count without executing multiple complex queries.

The Problem

Suppose you are executing a prepared statement for a select query that includes a WHERE clause to filter results based on some parameters. After fetching the data, you also want to determine how many rows match your filter criteria, but without the restrictions of a LIMIT. How can you achieve this? The common approach may throw an error, specifically "mysqli_num_rows() expects parameter 1 to be mysqli_result, bool given..."

Understanding the Solution

To get the row count without a LIMIT, the most effective way is to run a separate prepared statement that specifically counts the rows matching your criteria. Instead of selecting all columns with SELECT *, you will want to use SELECT COUNT(*). Here’s how you can do this step-by-step:

Step 1: Prepare Your First Query

First, you need to execute your primary query to fetch the data. This is where you define your primary SQL statement and execute it with bound parameters.

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Step 2: Prepare the Count Query

Next, you need to create and execute a second prepared statement to get the total count of rows that satisfy the same WHERE condition, but using COUNT(*):

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Output the Results

Now that you have both the fetched rows and the count of matched rows, you can use this data as needed in your application.

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

To sum up, retrieving the count of rows from a prepared statement using PHP and MySQLi involves executing a separate SELECT COUNT(*) query for accuracy. This approach ensures that you can flexibly manage both the result set and the total row count without running into errors associated with the mysqli_num_rows() method. By following these steps, you can efficiently handle database queries while ensuring your SQL operations remain clean and error-free.

Whether you're building a simple application or a complex system, optimizing your database interactions with prepared statements can save you time and trouble in the long run.