Checking the efficiency of Graphql API

Currently, I am in the process of optimizing key features within my Node.js API which incorporates GraphQL. This API serves as a proxy, receiving requests from various sources and forwarding them to multiple APIs based on the request. I am interested in conducting a comprehensive performance test to assess any potential changes in performance between the current API version and the revamped version after refactoring. Is there a method by which I can accurately measure and compare these performances to ensure that there is no degradation?

javascriptnode.jsapibackendgraphql

Answer №1

One method to analyze the performance of your API endpoints is by conducting stress tests to assess the outcomes.

Utilizing a tool like Loader.io could prove to be the most effective strategy. Visit Loader.io

Remember to test repeatedly and reset the cache before each round of testing for accurate results.

Answer №2

If you haven't checked out Apollo Engine yet, it's a fantastic GraphQL analytics platform created by the team behind Apollo Client. It's super easy to install and best of all, it's free! This new release just came out this week. Learn more about Apollo Engine here

Answer №3

If you're looking to simplify query creation, consider using easygraphql-load-tester. This tool generates queries based on the provided schema and arguments.

For implementation examples, check out this one using Artillery.io here, and another one with K6 here.

By conducting load-testing, it became evident that there was a subpar implementation of dataloaders on the server.

Results without dataloaders

All virtual users completed their tasks
Summary report as of 10:07:55(-0500) on November 23, 2018
  Scenarios launched: 5
  Scenarios completed: 5
  Requests completed: 295
  RPS sent: 36.88
  Request latency:
    min: 1.6
    max: 470.9
    median: 32.9
    p95: 233.2
    p99: 410.8
  Scenario breakdown:
    GraphQL Query load test: 5 (100%)
  Response codes:
    200: 295

Results with dataloaders

All virtual users completed their tasks
Summary report as of 10:09:09(-0500) on November 23, 2018
  Scenarios launched: 5
  Scenarios completed: 5
  Requests completed: 295
  RPS sent: 65.85
  Request latency:
    min: 1.5
    max: 71.9
    median: 3.3
    p95: 19.4
    p99: 36.2
  Scenario breakdown:
    GraphQL Query load test: 5 (100%)
  Response codes:
    200: 295

Answer №4

In our experience, we've found that using easygraphql-load-tester didn't provide the assistance we needed. Instead, we opted for Jmeter to conduct load tests on our GraphQL APIs. Jmeter proved to be incredibly helpful as it allows us to accurately track various metrics such as API pass count, API fail count, and even provides results in an Excel sheet format. Additionally, by creating and importing Excel files with different variables, we were able to customize our testing further. Furthermore, Jmeter offers graph generation capabilities, allowing us to visually analyze API performance.

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