cleanup

_examples/benchmarking/benchmarks_test.go

@@ -22,7 +22,7 @@ func BenchmarkQueriesOfVariableSizes(bmark *testing.B) {
 		{inputSize: 100000000, outputSize: 100000000},
 	} {
 		bmark.Run(fmt.Sprintf("input size: %d output size %d", testCase.inputSize, testCase.outputSize), func(b *testing.B) {
-			input := GenRandomString(testCase.inputSize)
+			input := generateStringOfSize(testCase.inputSize)
 
 			result := &struct {
 				Out models.OutputType `json:"testQueryPerformance"`

_examples/benchmarking/readme.md

@@ -1,14 +1,6 @@
-### starwars example
+### Benchmarking server
 
-This server demonstrates a few advanced features of graphql:
- - connections
- - unions
- - interfaces
- - enums
+This is used to allow you to return and receive json data with a specified size.
 
-to run this server
-```bash
-go run ./server/server.go
-```
-
-and open http://localhost:8080 in your browser
+It is meant to be used to test the performance of gqlgen's generated code when having to deal with
+requests and responses of various sizes.

_examples/benchmarking/resolvers.go

@@ -41,10 +41,10 @@ func (m *mutationResolver) TestMutationPerformance(_ context.Context, in models.
 	return &models.OutputType{Value: m.output}, nil
 }
 
-func GenRandomString(size int) string {
+func generateStringOfSize(size int) string {
 	return strings.Repeat("a", size)
 }
 
 func NewResolver(outputSize int, expectedInput string) *Resolver {
-	return &Resolver{output: GenRandomString(outputSize), input: expectedInput}
+	return &Resolver{output: generateStringOfSize(outputSize), input: expectedInput}
 }