Application and best practices of go-zero in large-scale data processing

As the amount of data continues to increase, processing large-scale data has become one of the challenges faced by modern Internet companies. As a microservice framework developed based on Golang, go-zero has attracted much attention for its application and best practices in large-scale data processing.

1. Advantages of go-zero

When processing large-scale data, go-zero has the following advantages:

1. High performance: Golang language itself has The high-performance characteristics, coupled with the fact that go-zero uses the grpc protocol and protobuf serialization, make its performance very excellent.
2. Microservice architecture: go-zero adopts a microservice architecture, splitting the system into multiple services, realizing service level separation and parallel processing, reducing system coupling, and making the system more robust and flexible.
3. Scalability: go-zero’s microservice architecture and asynchronous calling mode make full use of Golang’s concurrency features and provide good scalability, allowing you to easily add nodes to adapt to large-scale data processing. need.
4. Reliability: go-zero adopts zero-dependency development, and the code base is small and simple, which greatly reduces the possibility of code errors and system crashes.

2. Practical cases of go-zero

1. Didi Chuxing’s order system

Didi Chuxing’s order system is based on go -Developed with the zero microservice framework, the order system is split according to business modules and uses grpc communication, which effectively improves the concurrent processing capabilities and scalability of the system, while greatly reducing the maintenance cost of the system.

2. Meituan’s repurchase system

Meituan’s repurchase system is developed based on go-zero. The system can process tens of thousands or even hundreds of thousands per second. business requests and supports high-concurrency task processing. Because go-zero has good scalability, the system can easily adjust system capacity to adapt to growing business needs.

3. Best practices of go-zero

1. Adopting microservice architecture

When processing large-scale data, adopting microservice architecture is a Not a bad choice. go-zero's microservice architecture can split the system into multiple services according to functional modules, and uses the grpc protocol and protobuf serialization for communication to improve the performance and reliability of the system.

2. Using asynchronous calling mode

go-zero’s asynchronous calling mode can make full use of Golang’s concurrency features and improve the system’s processing capabilities and concurrency performance. When processing large-scale data, asynchronous calls can shorten the processing time of a single request and improve the throughput of the system.

3. Optimization of database connection pool

Optimization of database connection pool is very important to improve the performance and stability of the system. go-zero provides connection pool configuration, which can set the appropriate number of connections according to the actual situation to improve the efficiency and stability of database connections.

4. Streamlined code logic

go-zero's code base is very streamlined, which not only greatly reduces the possibility of code errors, but also makes the code logic clearer and easier to read. . In large-scale data processing, code clarity and legibility are very important for system maintainability and scalability.

4. Summary

With the development of Internet business, large-scale data processing has become a common problem faced by major enterprises. As a microservice framework developed based on Golang, go-zero has the advantages of good scalability, high performance and reliability, and can help enterprises achieve better results in large-scale data processing. It is recommended that you pay attention to this framework and adjust and optimize it according to actual conditions to better meet business needs.

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