Performance testing in GraphQL - Step-by-Step Execution

Concept Flow - Performance testing

Start Test Setup

↓

Define Query & Variables

↓

Send Query to Server

↓

Measure Response Time

↓

Check Throughput & Errors

↓

Analyze Results

↓

Adjust & Repeat if Needed

↓

End Performance Test

This flow shows how a performance test runs: setup, send query, measure time, check results, and repeat if needed.

Execution Sample

GraphQL

query GetUsers {
  users {
    id
    name
  }
}

This GraphQL query requests user IDs and names to test how fast the server responds.

Execution Table

Step	Action	Query Sent	Response Time (ms)	Errors	Result
1	Send query to server	GetUsers	120	0	Success
2	Send query to server	GetUsers	115	0	Success
3	Send query to server	GetUsers	130	0	Success
4	Send query to server	GetUsers	125	0	Success
5	Send query to server	GetUsers	118	0	Success
6	Analyze average response	-	-	-	Average 121.6 ms
7	Check for errors	-	-	0	No errors found
8	End test	-	-	-	Test complete

💡 Test ends after 5 queries to measure average response time and check errors.

Variable Tracker

Variable	Start	After 1	After 2	After 3	After 4	After 5	Final
response_time_ms	-	120	115	130	125	118	121.6 (average)
errors	0	0	0	0	0	0	0

Key Moments - 3 Insights

Why do we send the same query multiple times instead of just once?

Sending the query multiple times (see execution_table rows 1-5) helps measure consistent response times and detect any fluctuations.

What does it mean if errors are zero in all steps?

Errors zero (execution_table rows 1-5 and 7) means the server handled all queries successfully without problems.

Why do we calculate the average response time?

Average response time (row 6) gives a better idea of typical performance than a single measurement, which might be unusually fast or slow.

Visual Quiz - 3 Questions

Look at the execution_table, what was the response time at step 3?

A 125 ms

B 130 ms

C 115 ms

D 120 ms

💡 Hint

Check the 'Response Time (ms)' column at row 3 in the execution_table.

At which step does the test calculate the average response time?

A Step 7

B Step 5

C Step 6

D Step 8

💡 Hint

Look for the row where 'Result' mentions 'Average' in the execution_table.

If an error occurred at step 4, how would the 'errors' variable change in variable_tracker?

A It would increase to 1 at After 4

B It would decrease to -1 at After 4

C It would remain 0 at After 4

D It would reset to 0 at After 4

💡 Hint

Errors count increases when an error happens; check 'errors' row in variable_tracker.

Concept Snapshot

Performance testing in GraphQL:
- Send the same query multiple times
- Measure response time for each
- Check for errors
- Calculate average response time
- Analyze results to find bottlenecks
- Repeat tests after changes

Full Transcript

Performance testing in GraphQL involves sending a query multiple times to the server, measuring how long it takes to get a response each time, and checking if any errors occur. By averaging the response times, we get a clear picture of typical server speed. This helps find slow points or problems. If needed, tests are repeated after making changes to improve performance.