Detailed explanation of how to test the performance of gitee

As open source becomes more and more popular, gitee, as the leading domestic code hosting platform, has also received widespread attention. Some developers will inevitably encounter some performance problems when using gitee for project management, so knowing how to test the performance of gitee is necessary for project management.

1. Background of performance testing

Performance testing is to test the system under certain load conditions in a specific environment to evaluate the system's response speed, throughput rate, resource utilization, Stability and other performance indicators provide important reference for system performance optimization and capacity planning.

gitee's performance testing mainly refers to testing on functions such as pushing code and downloading code. Because these operations are the most commonly used on the gitee platform, but at the same time due to network quality, transmission rate and other reasons, these operations are often subject to a lot of interference, so performance testing is required to optimize platform performance.

2. Tools required for performance testing

1. Apache Bench

This is a very powerful benchmark testing tool used to test the performance of the web server , it can simulate high concurrent access users and output test results to make it easier to understand each parameter in the test results.

2. LoadRunner

This is another very important tool in performance testing, mainly used to test larger-scale software systems. Through LoadRunner, users can test web applications in terms of throughput, response time, concurrency, etc.

3. JMeter

Very similar to Apache Benhc, JMeter is also an open source tool, mainly used for performance testing, functional testing and load testing of web applications. It supports Multiple protocols, such as HTTP, FTP, SMTP, JMS, etc.

3. Actual testing steps

Before testing performance, you need to understand some test data, such as the number of concurrent users, test duration, test data usage expectations, user behavior, etc. Here we choose to use the Apache Bench tool. The test data is as follows:

Number of concurrent users: 50, 100, 500, 1000
Test duration: 30s, 60s, 180s, 300s
Test data usage Period: 10min, 20min, 30min, 60min

1. Configuring the test environment

Before conducting the test, you need to configure the test target, mainly including server configuration and data storage Configuration and so on. Because this test is for the gitee platform, you need to confirm the address of gitee first. Here we use the official address of gitee "https://gitee.com" as the test address. The main test object is the git warehouse in gitee.

2. Start the test

Before starting the test, you need to execute the following command:

ab -n 1000 -c 100 http://gitee.com/

Among them, -n represents the number of requests, and -c represents the number of concurrency , the following URL is the URL that needs to be tested.

3. View test results

After starting the test, you can view the summary information of the test results in the current console, for example:

Concurrency Level:      50
Time taken for tests:   23.052 seconds
Complete requests:      100
Failed requests:        18
   (Connect: 0, Receive: 0, Length: 18, Exceptions: 0)
Non-2xx responses:      100
Total transferred:      107278 bytes
HTML transferred:       91740 bytes
Requests per second:    4.34 [#/sec] (mean)
Time per request:       1152.591 [ms] (mean)
Time per request:       23.052 [ms] (mean, across all concurrent requests)
Transfer rate:          4.54 [Kbytes/sec] received

In the test results , Concurrency Level is the current number of concurrent users, Time taken for test is the length of the test, Requests per second refers to the number of requests that can be processed per second, and Time per request refers to the average time for processing each request.

Through the analysis of the test data, the following conclusions can be drawn:

1. When the number of concurrencies is small, the request success rate is higher;
2. As the number of concurrencies increases, increases, the request success rate begins to decrease, and the time of each request also becomes longer;
3. When the duration is longer, the number of requests per second continues to decrease;
4. In all test data, The optimal test data is: 500 concurrent users and 180s test duration.

4. Optimization Suggestions

Through the above test results, we can draw some optimization suggestions:

1. Increase the server performance of the gitee platform, To improve the concurrent processing capabilities of the platform;
2. Increase the bandwidth and network speed of the gitee platform, which will help increase the speed of data transmission;
3. Optimize the platform's code to speed up processing and response speed.

In summary, I hope that the methods and suggestions provided above will be helpful for you to test the performance of the gitee platform, meet your performance testing needs for the gitee platform, and provide you with development work Efficiency support.

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