Checking for No Rows in MariaDB SELECT Queries (Prepared Statements)
-
Using
rowCount
: -
Using
FOUND_ROWS
(if applicable):- This method is useful if you're using a
LIMIT
clause in your query. AddSQL_CALC_FOUND_ROWS
beforeSELECT
in your prepared statement. This tells MariaDB to keep track of the total number of rows that would have been returned without theLIMIT
. - After executing the statement, use the
connection.serverVersion >= 100300 && (rowCount = 0 || connection.getFoundRows() > rowCount)
(replaceconnection
with your connection object and adjust for your language) to check if no rows matched the criteria.
- This method is useful if you're using a
Key Points:
- Directly checking for zero rows within the prepared statement isn't possible in MariaDB's SQL language.
rowCount
reflects the number of rows retrieved after applying filters (likeWHERE
clause).FOUND_ROWS
is helpful when you want to know the total number of rows before applyingLIMIT
.
import mysql.connector
# Connect to MariaDB
connection = mysql.connector.connect(host="localhost", user="your_username", password="your_password", database="your_database")
# Prepare the statement (replace with your actual query)
query = "SELECT * FROM users WHERE username = ?"
stmt = connection.cursor().prepare(query)
# Bind your parameter(s)
username = "test_user"
stmt.execute((username,))
# Check if any rows were found
result = stmt.fetchall()
if not result:
print("No rows found")
# Close connection
connection.close()
Using FOUND_ROWS
(example in PHP):
<?php
$conn = new mysqli("localhost", "your_username", "your_password", "your_database");
// Prepare the statement with SQL_CALC_FOUND_ROWS
$stmt = $conn->prepare("SELECT SQL_CALC_FOUND_ROWS * FROM users WHERE username = ?");
$stmt->bind_param("s", $username);
$username = "test_user";
// Execute the statement
$stmt->execute();
// Get the number of rows retrieved
$stmt->store_result();
$rowCount = $stmt->num_rows;
// Check for total rows using FOUND_ROWS
$totalRows = $conn->query("SELECT FOUND_ROWS()")->fetch_row()[0];
if ($rowCount === 0 && $totalRows > 0) {
echo "No rows matched the criteria";
}
// Close connection
$stmt->close();
$conn->close();
?>
This approach relies on checking if the result set returned by the prepared statement is empty after execution. Here's how it works:
# After executing the prepared statement
result = stmt.fetchall()
if not result:
print("No rows found")
This is a simple and widely applicable method. However, it doesn't differentiate between zero rows and an error during execution (which might also return an empty result set).
Using FETCH_ALL with exception handling:
This method attempts to fetch all rows using fetchall()
and handles potential exceptions that might occur if no rows are present.
try:
# Execute the prepared statement
stmt.execute()
# Attempt to fetch all rows
result = stmt.fetchall()
# If successful, rows were found (handle results)
# ...
except Exception as e:
# Exception might indicate no rows or other errors
if "no data returned" in str(e).lower(): # Adjust for your language
print("No rows found")
else:
# Handle other potential errors
print(f"Error: {e}")
This approach provides more control over error handling, but adds complexity compared to a simple empty check.
Counting Rows in a Separate Query (if applicable):
This method involves creating a separate query to count the number of rows that would match the criteria. It's useful when you need the exact count:
# Prepare the original statement (replace with your query)
original_stmt = "SELECT * FROM users WHERE username = ?"
# Prepare a separate statement to count rows
count_stmt = connection.cursor().prepare("SELECT COUNT(*) FROM users WHERE username = ?")
# Use the same parameter for both statements
username = "test_user"
original_stmt.execute((username,))
count_stmt.execute((username,))
# Check the count
count_result = count_stmt.fetchone()
if count_result[0] == 0:
print("No rows found")
# Close connections (not shown for brevity)
This method requires an additional query but offers the exact row count before applying filters (like WHERE
clause).
mariadb