const a = {"name":"koreq.publish.process_response","spanId":"7bd4aae996347e18","traceId":"4c1c06b603354025a6ef5f3ff4cfa0e8","startTimeUnixMilli":1715972358893,"attributes":{"flowName":"process_response","cc":["respond_to_user"],"pid":1744551},"kind":"producer","parentSpanId":"e9b12c2049994151","endTimeUnixMilli":1715972358898,"status":{"code":1},"isWritten":false,"eventName":"endSpan"}; JSON.strigify(a);
const a = {}; for (let i = 0; i < 100; i++) { a[i] = i; } JSON.stringify(a);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
1 | |
2 |
Test name | Executions per second |
---|---|
1 | 0.0 Ops/sec |
2 | 177284.1 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks!
Benchmark Definition:
The provided JSON defines a benchmark called "JSON Stringify Speed Test 0." This benchmark is designed to test whether the speed of JSON.stringify()
changes with object size.
In essence, this benchmark is comparing two approaches:
a
with specific properties, including some numeric values and strings.i
) assigned to it.Options Compared:
The benchmark is comparing the execution speed of JSON.stringify()
when applied to these two different data structures:
Pros and Cons:
Library and Purpose:
There is no specific library mentioned in the provided benchmark definition. However, it's worth noting that JSON.stringify()
is a built-in JavaScript function that can be used to serialize objects into a JSON-compatible format.
Special JS Features or Syntax:
None are explicitly mentioned in the provided benchmark definition.
Other Alternatives:
If you're interested in exploring alternative approaches or modifying this benchmark, here are some ideas:
JSON.stringify()
options, such as the replacer
function or space
parameter.json-stringify-safe
.Keep in mind that when modifying benchmarks, it's essential to ensure that any changes are relevant and accurately reflect the behavior you're trying to measure.