Variation Distribution
When running an A/B Test, you need to distribute users across Variations and implement the logic for each Variation. You can perform this user distribution through the Hackle SDK.
variation
Server SDKs do not support cohort targeting. If targeting includes a cohort, run the test using a Client SDK.
By passing an Experiment Key and User Identifier to the variation() method, you can distribute the user and receive the result. Then implement logic for each Variation.
In the example code below, Experiment Key 42 is passed and two Variations, A and B, exist.
hackleClient.onReady(function() {
const user = { id: "ae2182e0" };
// 실험 키가 42인 A/B 테스트에서 사용자에게 노출할 테스트 그룹을 결정합니다.
// 결정하지 못하는 상황인 경우 테스트 그룹 A를 반환합니다.
const variation = hackleClient.variation(42, user);
if (variation === "A") {
// 그룹 A 로직
} else if (variation === "B") {
// 그룹 B 로직
}
});variationDetail
The variationDetail() method works the same as the variation() method and additionally provides the reason for assignment to a specific Variation. This method is useful for checking whether distribution is working correctly.
You must pass the Experiment Key as a parameter. In the example code below, Experiment Key 42 is passed.
The distribution decision reason is returned in the form of SDK_NOT_READY. Refer to the table below for details.
SDK_NOT_READY
The SDK is not ready to use.
(e.g., initialization attempted with an invalid SDK Key)
A (Control Group)
EXPERIMENT_NOT_FOUND
No A/B Test was found for the provided Experiment Key. The Experiment Key may be incorrect, or the experiment may be archived.
A (Control Group)
NOT_IN_MUTUAL_EXCLUSION_EXPERIMENT
The experiment is included in Mutually Exclusive Settings, but the user was not assigned to that Mutually Exclusive Group.
A (Control Group)
EXPERIMENT_DRAFT
The A/B Test is in draft state.
A (Control Group)
EXPERIMENT_PAUSED
The A/B Test is paused.
A (Control Group)
EXPERIMENT_COMPLETED
The A/B Test has ended.
Winning Variation selected at completion
OVERRIDDEN
The user was assigned to a specific group by Override.
Override-assigned group
NOT_IN_EXPERIMENT_TARGET
The user is not an A/B Test target.
A (Control Group)
TRAFFIC_NOT_ALLOCATED
The A/B Test is running, but the user was not allocated to the test.
A (Control Group)
TRAFFIC_ALLOCATED
The user has been allocated to the A/B Test.
Allocated group
VARIATION_DROPPED
The originally allocated group has been removed from the test.
A (Control Group)
INVALID_INPUT
The input value is invalid.
A (Control Group)
EXCEPTION
An unknown error occurred.
A (Control Group)
Parameter Settings
You can also receive the parameter values of the distributed Variation through the
variationDetail()method.You can use the config object and
get()method to retrieve and use the Parameter Settings values configured on the A/B Test screen. If you change a value on the A/B Test parameter settings screen, the updated value is applied to your code.
The
parameterKeyof theget()method is the key configured in the A/B Test parameter settings, anddefaultValueis the value returned when the distribution decision fails or an invalid parameter type value is provided.To receive the configured information correctly, you must enter a value of the type that matches the parameter type you configured in
defaultValue.Since JSON type can be received as a string, you must enter the
defaultValueas a string type for JSON type.The parameter types provided by the SDK are string, number, and boolean. The JSON type configured on the A/B Test screen can be received as a string. The default value for JSON type must be entered as a string type.
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