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Introduction

The case function evaluates a sequence of condition-result pairs and returns the value of the first condition that evaluates to true. Use it to map raw values to human-readable labels, define alert severity tiers, or apply multi-way branching in a single expression instead of chaining multiple iff calls. case is particularly useful when you need to classify log events into categories, route spans into latency buckets, or assign risk scores to requests based on several attributes at once.

For users of other query languages

If you come from other query languages, this section explains how to adjust your existing queries to achieve the same results in APL.
In Splunk SPL, the case() function inside eval takes alternating condition-value pairs. APL’s case works the same way: provide pairs of (condition, value) followed by a fallback value.
... | eval severity = case(status==200, "success", status==404, "not found", "other")
SQL uses CASE WHEN condition THEN value ... ELSE fallback END. APL’s case is functionally equivalent but uses a compact function-call syntax. The last argument serves as the ELSE value.
SELECT
  CASE
    WHEN status = '200' THEN 'success'
    WHEN status = '404' THEN 'not found'
    ELSE 'other'
  END AS severity
FROM sample_http_logs

Usage

Syntax

case(condition1, result1 [, condition2, result2, ...], nothingMatchedResult)

Parameters

NameTypeRequiredDescription
conditionnboolYesExpression to evaluate. APL tests conditions in order and returns the result paired with the first true condition.
resultnscalarYesValue returned when the preceding condition is the first to evaluate to true. All result expressions must be of the same type.
nothingMatchedResultscalarYesValue returned when no condition evaluates to true. Must be the same type as the result expressions.

Returns

The value paired with the first condition that evaluates to true, or nothingMatchedResult if no condition is true.

Use case examples

Classify HTTP responses by status code to summarize request outcomes.Query
['sample-http-logs']
| extend severity = case(
    status == '200', 'success',
    status == '404', 'not found',
    status == '500', 'server error',
    'other'
  )
| summarize count() by severity
Run in PlaygroundOutput
severitycount_
success8412
other1203
not found534
server error182
The query assigns a human-readable label to each request based on its HTTP status code, then counts how many requests fall into each category.
  • iff: Returns one of two values based on a single Boolean predicate. Use iff for binary decisions and case when you have three or more outcomes.
  • coalesce: Returns the first non-null value from a list of expressions. Use coalesce to handle missing values rather than branching on conditions.