Axiom
Overview

series_greater_equals

You use this function when you want to perform threshold comparisons across two series of values, such as checking performance metrics against baselines, comparing observed values to expected ranges, or evaluating time-aligned logs and traces.

Usage#

Syntax#

series_greater_equals(array1, array2)

Parameters#

Parameter Type Description
array1 dynamic (array of numeric values) The first input array.
array2 dynamic (array of numeric values) The second input array. Must be the same length as array1.

Returns#

A dynamic array of Boolean values where each element is true if array1[i] >= array2[i], and false otherwise.

Use case examples#

In log analysis, you can compare observed request durations against a threshold series to identify requests that are slower than expected.

Query

['sample-http-logs']
| summarize durations = make_list(req_duration_ms) by id
| extend threshold = dynamic([100,100,100])
| extend exceeds = series_greater_equals(durations, threshold)

Run in Playground

Output

id durations threshold exceeds
u123 [120,80,150] [100,100,100] [true,false,true]

This query groups request durations by user ID, builds a list of durations, and checks each against the threshold series of 100 ms.

In OpenTelemetry traces, you can compare span durations from one service with expected baselines to detect performance regressions.

Query

['otel-demo-traces']
| where ['service.name'] == 'checkout'
| summarize durations = make_list(duration) by trace_id
| extend baseline = dynamic([100ms,200ms,300ms])
| extend slower = series_greater_equals(durations, baseline)

Run in Playground

Output

trace_id durations baseline slower
t001 [120ms,180ms,400ms] [100ms,200ms,300ms] [true,false,true]

This query checks if spans in the checkout service are slower than the defined baseline series.

In security logs, you can compare the frequency of failed status codes against a threshold to detect suspicious behavior.

Query

['sample-http-logs']
| where status == '500'
| summarize fails = make_list(req_duration_ms) by ['geo.country']
| extend threshold = dynamic([200,200,200])
| extend suspicious = series_greater_equals(fails, threshold)

Run in Playground

Output

geo.country fails threshold suspicious
US [210,190,300] [200,200,200] [true,false,true]

This query aggregates failed requests by country, builds a series of durations, and compares them against a 200 ms threshold to highlight suspiciously slow failures.

  • series_greater: Compares two arrays and returns true where the first array element is greater than the second.
  • series_less: Compares two arrays and returns true where the first array element is less than the second.
  • series_less_equals: Compares two arrays and returns true where the first array element is less than or equal to the second.
  • series_not_equals: Compares two arrays and returns true where elements aren’t equal.

Other query languages#

Splunk SPL users

In Splunk SPL, you typically perform comparisons on fields or with eval expressions rather than array-based functions. If you want to compare series of values, you usually use eval with conditional expressions, but SPL doesn’t provide direct array-to-array comparison. In APL, series_greater_equals lets you apply the comparison element by element on arrays.

Splunk example

... | eval greater_equals = if(field1 >= field2, true(), false())

APL equivalent

print result = series_greater_equals(dynamic([2,4,6]), dynamic([1,4,10]))
ANSI SQL users

ANSI SQL does not natively support array-to-array operations in the same way. You often need to UNNEST arrays or join on row numbers to compare values across two arrays. APL provides a direct function, series_greater_equals, that simplifies these operations by applying the comparison across the entire array at once.

SQL example

-- SQL-style comparison would require unnesting
SELECT a.value >= b.value AS greater_equals
FROM UNNEST(ARRAY[2,4,6]) WITH ORDINALITY a(value, i)
JOIN UNNEST(ARRAY[1,4,10]) WITH ORDINALITY b(value, j)
  ON a.i = b.j

APL equivalent

print result = series_greater_equals(dynamic([2,4,6]), dynamic([1,4,10]))

Updated

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