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Idempotency is the property of an operation that produces the same intended effect whether it is performed once or multiple times.
In software development and web services, idempotency helps prevent repeated requests from causing unintended changes, making systems more reliable and predictable.
An idempotent operation can be repeated without changing the resulting state beyond the first successful execution.
For example, setting a user's account status to "active" multiple times has the same effect as setting it once.
By contrast, increasing an account balance by $10 each time is not idempotent because every execution changes the result.
Idempotency describes a property of an operation, while an idempotent method is a specific operation that has this property.
Common idempotent HTTP methods include:
POST is generally not idempotent, although applications can implement idempotency using mechanisms such as unique request identifiers.
Retries repeat a failed or uncertain operation to improve reliability.
Idempotency ensures that repeating an operation does not create unintended additional effects.
In simple terms:
These concepts are especially important when network failures make it unclear whether a previous request succeeded.
Idempotency is useful in web scraping, APIs, and data pipelines where requests or processing tasks may be retried.
For example, a data pipeline can use unique record identifiers to prevent the same collected product from being inserted multiple times.
This helps maintain data consistency when network errors or interrupted jobs cause repeated processing.
Suppose an API updates a product's price using a PUT request:
PUT /products/1001 HTTP/1.1
Content-Type: application/json
{
"price": 49.99
}
Sending this request once sets the price to $49.99.
Sending the identical request again leaves the price at $49.99.
The operation is idempotent because repeating it produces the same resulting resource state.
Idempotency ensures that repeating an operation has the same intended effect as performing it once.
It is an important principle in HTTP APIs, distributed systems, and data pipelines because it supports reliable retries, prevents duplicate effects, and improves consistency.
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