Full stack performance testing theory - Summary

What is performance testing

Definition ： It simulates a variety of normal functions through automated testing tools 、 Peak and abnormal load conditions to test the performance of the system , The problems found in the performance test are not called defects or Bug, It's called Performance bottleneck , Not called repair , It's called Optimize .

1. It mainly contains three meanings :

• Performance testing needs tools to implement

• In addition to paying attention to normal conditions, performance testing , It also focuses on many peaks or abnormal system operation in space and time

• The performance test analyzes the performance of the system with the help of various indicators monitored and collected

2. Angle of black box test

• Data requests are sent over the network

• The server front end receives and processes

• Get relevant data from the database server

• The front end returns data after processing

• Application interface receives data response

3. From a programmer's point of view

• Structural rationality

• Database design rationality

• Code and algorithm

• How resources are used in the system

4. From the perspective of system operation and maintenance

• Hardware resource utilization

• What kind of hardware can improve system performance

• Can the system support 7*24 Service for

• Extensibility 、 Compatibility 、 The maximum capacity 、 Possible bottlenecks

5.  Analyze performance tests from a professional perspective

• Server hardware performance

• Set performance goals based on requirements and historical data

• Build performance model

• Analyze the performance of the development code framework and hardware framework

• Benchmarking against development releases

• Perform performance acceptance and stability test on the software

• Configuration and optimization of production environment

• Develop performance test cases

• Develop performance test scenario design

• Specific performance analysis

Factors affecting performance

Performance test categories

• General performance test ： Verify whether the software can meet the performance index under normal conditions and system conditions .

• The load test ： Verify that the system runs longer under certain pressure , Until the system performance appears " Inflection point ". 

• Pressure test ： Verify the performance of the system under the limit load or a certain index has been saturated .

• Stability test ： Verify that the system operates continuously , Check the performance indicators of the system . 11 MTBF ( The average time interval between errors )

• Big data test ： Verify whether various indicators of the system are normal when the system uses a large number of data to exert pressure or influence on the system .

• Configuration testing ： Verify that the system has different software and hardware configurations , Find out the optimal allocation of various resources of the system .

Common terms for performance

• Virtual user ： The performance test tool simulates the users of processing , Simulate the operation behavior of actual users .

• Concurrent and concurrent users

Concurrent ： emphasize ” A large number of users ” Of " Simultaneity ” operation ( This operation requires pressure on the server )

Number of concurrent users ： It refers to the number of users who simultaneously perform operations that affect the server at a certain time .

Be careful ： And " Number of system users " and " Number of online users ” Differences between .

Number of system users ： The total number of users using a particular system .

Number of online users ： Login system , Number of people using the system .

• response time ： contain “ Request response time ” and “ Transaction response time ”

• Thinking time ： The interval between requests .

• Click through rate ： It generally refers to the number of requests submitted by the user to the server per second .

  (Web In the test, it refers to HTTP Number of requests )

• Transactions per second ： It refers to the number of transactions or transactions that the system can process per second .

  (Transaction Per Second, TPS)

• throughput ： In a single business , The total amount of data interaction between client and server ; Affected by server performance and network performance .

• Throughput rate ： Throughput divided by transmission time . One of the important indicators to measure server performance and network performance ; It can be used in general " Number of requests / second 、 Number of pages / second 、 Number of bytes / second ” Measure in equal units .

• Performance counters ： Performance counters are a series of indicators used to describe the performance of various types of servers or operating systems , It plays an important role in resource monitoring and system bottleneck analysis .

Performance testing process

Performance testing process ：（ performance ） Demand analysis ->（ performance ） test plan -> Test environment construction （ Infinitely close to the actual operating environment ）-> Performance test tool selection -> The test execution -> Find performance bottlenecks -> Performance tuning and optimization -> Verification and closure .

1、 Demand analysis （ Example ）

2、 Test scenarios

3、 Performance testing process

3.1 Criteria for judging whether the test results pass （ For reference only ）

3.2  Skills required for performance tuning

3.3  Key points and difficulties in performance testing

• Demand analysis

• Scene design

• Performance diagnostics tuning

• Environment construction and simulation

4、 Performance test cases （ Test scenarios ）-（ Example ）

notes ： There is no reverse verification of data in the performance test （ Functional test completed ）

Terms in use cases ：

Marshal Point ： All users come together , Concurrent .

Business ： The general name of user's operation behavior 、 To measure TPF、 The basis of transaction success rate .

Expected results ： After the performance test , Criteria for judging the results .

Skills required for performance testing

Performance testing tools

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