72 lines
2.1 KiB
Markdown
72 lines
2.1 KiB
Markdown
---
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title: testing.benchmark() function
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description: >
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The `testing.benchmark()` function executes a test case without comparing test output with the expected test output.
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This lets you accurately benchmark a test case without the added overhead of comparing
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test output that occurs in [`testing.run()`](/flux/v0.x/stdlib/testing/run/).
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menu:
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flux_0_x_ref:
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name: testing.benchmark
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parent: testing
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aliases:
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- /influxdb/v2.0/reference/flux/stdlib/testing/benchmark/
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- /influxdb/cloud/reference/flux/stdlib/testing/benchmark/
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weight: 301
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flux/v0.x/tags: [tests, transformations]
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introduced: 0.49.0
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---
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The `testing.benchmark()` function executes a test case without comparing test output with the expected test output.
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This lets you accurately benchmark a test case without the added overhead of comparing
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test output that occurs in [`testing.run()`](/flux/v0.x/stdlib/testing/run/).
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```js
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import "testing"
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testing.benchmark(case: exampleTestCase)
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```
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## Parameters
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### case {data-type="function"}
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Test case to benchmark.
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## Examples
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##### Define and benchmark a test case
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The following script defines a test case for the `sum()` function and enables
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[profilers](/flux/v0.x/stdlib/profiler/) to measure query performance.
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```js
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import "testing"
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import "profiler"
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option profiler.enabledProfilers = ["query", "operator"]
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inData = "
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#datatype,string,long,string,dateTime:RFC3339,string,double
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#group,false,false,true,false,true,false
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#default,_result,,,,,
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,result,table,_measurement,_time,_field,_value
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,,0,m,2021-01-01T00:00:00Z,t,1.2
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,,0,m,2021-01-02T00:00:00Z,t,1.4
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,,0,m,2021-01-03T00:00:00Z,t,2.2
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"
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outData = "
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#datatype,string,long,dateTime:RFC3339,dateTime:RFC3339,string,string,double
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#group,false,false,true,true,true,true,false
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#default,_result,,,,,,
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,result,table,_start,_stop,_measurement,_field,_value
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,,0,2021-01-01T00:00:00Z,2021-01-03T01:00:00Z,m,t,4.8
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"
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t_sum = (table=<-) => table
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|> range(start: 2021-01-01T00:00:00Z, stop: 2021-01-03T01:00:00Z)
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|> sum()
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test _sum = () => ({input: testing.loadStorage(csv: inData), want: testing.loadMem(csv: outData), fn: t_sum})
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testing.benchmark(case: _sum)
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```
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