When working with PHP, you may need to protect shared data against concurrent PHP requests. This guide explains the operation, shows what its arguments mean, and uses three separate examples to make the result easier to understand.
Handling Concurrent Updates Safely: This topic combines several operations. The code demonstrates the important sequence and its effect.
What Is Handling Concurrent Updates Safely in PHP?
Protect shared data against concurrent PHP requests. This topic combines several operations. The code demonstrates the important sequence and its effect.
Syntax:
See the complete PHP example below.
Parameters and return value: The signature above identifies the arguments and return type where the API has a single call. For topic guides, follow the sequence of calls in the examples. Always distinguish a returned value from an object or variable modified by reference.
Important: A SELECT followed by an unconditional UPDATE can lose writes. Use atomic updates and transaction boundaries.
Example 1: Basic Usage
This example introduces the operation with a short and predictable input.
<?php
$version = 3;
$expectedVersion = 3;
var_dump($version === $expectedVersion);
Output:
bool(true)
The code focuses on the main operation. This topic combines several operations. The code demonstrates the important sequence and its effect.
Example 2: Another Case
Now compare a different input, locale, date, or option to see another part of the behavior.
<?php
$current = ["value" => 100, "version" => 5];
if ($current["version"] === 5) {
$current["value"] += 20;
$current["version"]++;
}
print_r($current);
Output:
Array
(
[value] => 120
[version] => 6
)
What changes? A SELECT followed by an unconditional UPDATE can lose writes. Use atomic updates and transaction boundaries.
Practical Example: Applying It in an Application
Use the following separate example as a starting point for a small application task. Check any extension or environment requirements below before running it.
<?php
$database = new PDO("sqlite::memory:");
$database->exec("CREATE TABLE counters (id INTEGER PRIMARY KEY, value INTEGER, version INTEGER)");
$database->exec("INSERT INTO counters VALUES (1, 10, 1)");
$update = $database->prepare("UPDATE counters SET value = value + 1, version = version + 1 WHERE id = :id AND version = :version");
$update->execute(["id" => 1, "version" => 1]);
if ($update->rowCount() !== 1) {
throw new RuntimeException("Concurrent modification detected");
}
echo "Updated";
The practical example demonstrates how to apply this operation to multiple values, a reusable task, or a validated input. This topic combines several operations. The code demonstrates the important sequence and its effect.
Important Behavior and Edge Cases
- Core behavior: This topic combines several operations. The code demonstrates the important sequence and its effect.
- Inputs and results: A SELECT followed by an unconditional UPDATE can lose writes. Use atomic updates and transaction boundaries.
- Alternatives: Optimistic locking detects conflicts; pessimistic row locks prevent overlapping modifications during a transaction.
Comparison With Related Functions
| Function or Approach | When to Use It |
|---|---|
Handling Concurrent Updates Safely | Protect shared data against concurrent php requests. |
| Related PHP approach | Optimistic locking detects conflicts; pessimistic row locks prevent overlapping modifications during a transaction. |
Common Beginner Mistakes
| Mistake | Correct Approach |
|---|---|
| Using an incorrect input or option | A SELECT followed by an unconditional UPDATE can lose writes. Use atomic updates and transaction boundaries. |
| Confusing this API with a related operation | Optimistic locking detects conflicts; pessimistic row locks prevent overlapping modifications during a transaction. |
| Assuming output is identical across environments | Check return values and required extensions or versions. Use explicit locale, timezone or encoding settings when they affect the result. |
Key Takeaways
- Handling Concurrent Updates Safely helps you protect shared data against concurrent PHP requests.
- This topic combines several operations. The code demonstrates the important sequence and its effect.
- A SELECT followed by an unconditional UPDATE can lose writes. Use atomic updates and transaction boundaries.
Use Handling Concurrent Updates Safely when you need to protect shared data against concurrent PHP requests. Start with the first example, compare the second, and adapt the practical example to your inputs. Confirm the return value and environment requirements before adding it to production code.