search
HomeJavajavaTutorialDistributed task scheduling system based on Spring Cloud

With the complexity of business, many enterprises are faced with a large number of scheduled tasks that need to be executed, and the management and scheduling of these tasks have brought considerable pressure to enterprises. The traditional stand-alone task scheduling system can no longer meet the needs of enterprises, and the distributed task scheduling system has become a necessary choice. This article will introduce the design and implementation of a distributed task scheduling system based on Spring Cloud.

1. System architecture design

Spring Cloud provides a series of tools and frameworks, such as Eureka, Ribbon, Feign, Config, Hystrix, etc. These tools and frameworks enable us to implement distributed task scheduling The system has been of great help. The following is the architecture design diagram of the system:

Distributed task scheduling system based on Spring Cloud

The system is divided into four parts: task management center, scheduled task service, task executor, and log center.

  1. Task Management Center: The task management center is responsible for managing scheduled tasks in the entire system, providing operations such as adding, deleting, modifying, and stopping tasks, and pushing task information to the scheduled task service.
  2. Scheduled task service: Scheduled task service is the core component of the entire system. It receives task information pushed by the task management center and registers the task information into Eureka. At the same time, it regularly scans the task information in the registration center and sends task execution instructions to the task executor based on the task information.
  3. Task Executor: The task executor is the main component for executing tasks in the system. It is responsible for starting scheduled tasks, executing tasks, and recording task execution logs.
  4. Log center: The log center collects task execution logs generated by task executors and provides log query and log analysis functions.

2. System implementation

  1. Implementation of task management center

The task management center is developed using the SpringBoot framework and Thymeleaf. Page rendering. In the task management center, we can add, delete, modify, deactivate, and enable scheduled tasks. On the page, we display the basic information of the scheduled task and the scheduling rules of the task.

  1. Implementation of scheduled task service

In the implementation of scheduled task service, we mainly use SpringCloud components such as Eureka, Ribbon, Feign, and Config. We use Eureka as the registration center, the scheduled task service accesses the task executor through Ribbon, uses Feign to make calls between services, and uses Config to implement the configuration center function.

Specifically, we put each task that needs to be scheduled into a Map and register it in Eureka. Every once in a while, the scheduled task service accesses the task executor through Ribbon load balancing and sends task execution instructions to the task executor. If the task execution fails, the task execution log is recorded and sent to the log center.

  1. Implementation of task executor

The task executor uses Quartz to implement scheduled task scheduling, and uses Feign to accept task execution instructions sent by the scheduled task service. During the task execution process, we store the task execution status, execution log and other information in the database for subsequent query and analysis.

  1. Implementation of log center

The log center is implemented using the ELK architecture, including three components: Elasticsearch, Logstash and Kibana. Among them, Elasticsearch is used to store logs, Logstash is used to send logs from task executors to Elasticsearch, and Kibana is used to display and query log information.

3. System Optimization

In actual use, we also need to optimize the system to ensure the stability and availability of the system. Some common optimization measures are listed below:

  1. Load balancing: For the task executor service, we need to use load balancing to avoid single points of failure and ensure system availability.
  2. Automatic task recovery: When the task executor service stops abnormally, we need to automatically restore the task to the system through the program to avoid task loss.
  3. Distributed lock: When a task is executed, distributed lock processing needs to be performed on the task to avoid repeated execution of the same task multiple times.
  4. Asynchronous execution: For some tasks that take a long time, we can use asynchronous execution to put the tasks in the message queue to improve the execution efficiency and reliability of the tasks.

4. Summary

Compared with the traditional stand-alone task scheduling system, the distributed task scheduling system based on Spring Cloud has higher concurrency and better scalability. , better fault tolerance and other advantages. At the same time, it is also an effective choice for enterprises to implement task scheduling. This article introduces the architectural design and implementation process of a distributed task scheduling system based on Spring Cloud, and also discusses some system optimization measures. I believe it will be of some help to everyone.

The above is the detailed content of Distributed task scheduling system based on Spring Cloud. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Why is Java a popular choice for developing cross-platform desktop applications?Why is Java a popular choice for developing cross-platform desktop applications?Apr 25, 2025 am 12:23 AM

Javaispopularforcross-platformdesktopapplicationsduetoits"WriteOnce,RunAnywhere"philosophy.1)ItusesbytecodethatrunsonanyJVM-equippedplatform.2)LibrarieslikeSwingandJavaFXhelpcreatenative-lookingUIs.3)Itsextensivestandardlibrarysupportscompr

Discuss situations where writing platform-specific code in Java might be necessary.Discuss situations where writing platform-specific code in Java might be necessary.Apr 25, 2025 am 12:22 AM

Reasons for writing platform-specific code in Java include access to specific operating system features, interacting with specific hardware, and optimizing performance. 1) Use JNA or JNI to access the Windows registry; 2) Interact with Linux-specific hardware drivers through JNI; 3) Use Metal to optimize gaming performance on macOS through JNI. Nevertheless, writing platform-specific code can affect the portability of the code, increase complexity, and potentially pose performance overhead and security risks.

What are the future trends in Java development that relate to platform independence?What are the future trends in Java development that relate to platform independence?Apr 25, 2025 am 12:12 AM

Java will further enhance platform independence through cloud-native applications, multi-platform deployment and cross-language interoperability. 1) Cloud native applications will use GraalVM and Quarkus to increase startup speed. 2) Java will be extended to embedded devices, mobile devices and quantum computers. 3) Through GraalVM, Java will seamlessly integrate with languages ​​such as Python and JavaScript to enhance cross-language interoperability.

How does the strong typing of Java contribute to platform independence?How does the strong typing of Java contribute to platform independence?Apr 25, 2025 am 12:11 AM

Java's strong typed system ensures platform independence through type safety, unified type conversion and polymorphism. 1) Type safety performs type checking at compile time to avoid runtime errors; 2) Unified type conversion rules are consistent across all platforms; 3) Polymorphism and interface mechanisms make the code behave consistently on different platforms.

Explain how Java Native Interface (JNI) can compromise platform independence.Explain how Java Native Interface (JNI) can compromise platform independence.Apr 25, 2025 am 12:07 AM

JNI will destroy Java's platform independence. 1) JNI requires local libraries for a specific platform, 2) local code needs to be compiled and linked on the target platform, 3) Different versions of the operating system or JVM may require different local library versions, 4) local code may introduce security vulnerabilities or cause program crashes.

Are there any emerging technologies that threaten or enhance Java's platform independence?Are there any emerging technologies that threaten or enhance Java's platform independence?Apr 24, 2025 am 12:11 AM

Emerging technologies pose both threats and enhancements to Java's platform independence. 1) Cloud computing and containerization technologies such as Docker enhance Java's platform independence, but need to be optimized to adapt to different cloud environments. 2) WebAssembly compiles Java code through GraalVM, extending its platform independence, but it needs to compete with other languages ​​for performance.

What are the different implementations of the JVM, and do they all provide the same level of platform independence?What are the different implementations of the JVM, and do they all provide the same level of platform independence?Apr 24, 2025 am 12:10 AM

Different JVM implementations can provide platform independence, but their performance is slightly different. 1. OracleHotSpot and OpenJDKJVM perform similarly in platform independence, but OpenJDK may require additional configuration. 2. IBMJ9JVM performs optimization on specific operating systems. 3. GraalVM supports multiple languages ​​and requires additional configuration. 4. AzulZingJVM requires specific platform adjustments.

How does platform independence reduce development costs and time?How does platform independence reduce development costs and time?Apr 24, 2025 am 12:08 AM

Platform independence reduces development costs and shortens development time by running the same set of code on multiple operating systems. Specifically, it is manifested as: 1. Reduce development time, only one set of code is required; 2. Reduce maintenance costs and unify the testing process; 3. Quick iteration and team collaboration to simplify the deployment process.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version