We are interested to see how long it takes to:

1. Load and parse JS chunks, containing GraphQL executable documents in different formats
2. See how long it takes to fully-load each individual chunk (some formats may be lazy-loaded)

export const result1 = { kind: "Document", definitions: [/* generated AST definitions here */] };

export const result1 = JSON.parse('{ kind: "Document", definitions: [...] }');

const graphqlQuery1 = "...";
export const result1 = {
  kind: "Document",
  get definitions() {
    return (
      this.__defs ??
      (this.__defs = parse(graphqlQuery1, { noLocation: true }).definitions)
    );
  },
};
// ... etc;

const graphqlQuery1 = "...";
export const result1 = parse(graphqlQuery1, { noLocation: true });

Benchmark contains two steps: CLI for code-generation and runtime.

Generator CLI script relies on 3 hardcoded variables:

1. List of query template functions
2. Total number of each query per chunk
3. Total number of chunks per GraphQL format

Query template function looks like this (expected to return GraphQL query string):

const queryTemplate1 = (i) => `query { foo${i} }`;

As output, script produces JS chunk files on disk:

.
[generated]/
  [inline-graphql-ast]/
    chunk1.js
    chunk2.js
    ...
  [graphql-ast-as-json]/
    chunk1.js
    chunk2.js
    ...
  [lazy-graphql-ast]/
    chunk1.js
    chunk2.js
    ...
  [eager-graphql-ast]/
    chunk1.js
    chunk2.js
    ...

Each chunk exports multiple variables - one variable per generated graphql query. So if there were 3 query templates and total number of each query per chunk is 4, chunk will contain 12 exports (with unique generated queries).

Benchmark runs tests for each format in a separate NodeJS process one-by-one (i.e. sequentially).

For each tested format, benchmark loads JS chunks one-by-one sequentially and measures:

1. Time it takes to load every chunk
2. Time it takes to read every graphql query in the chunk (using hardcoded function read defined separately for each tested format)

In the end, aggregated stats for each format includes:

1. Total time it took to load all chunks
2. An array of load time per chunk
3. For each chunk: an array of read times per query
4. Peak JS heap size, final JS heap size

Those aggregated results should be stored in ./results folder as JSON file