Design principle and architecture overview of the Delta Core framework

Design principle and architecture overview of the Delta Core framework The Delta Core framework is an open source framework for developing large -scale, high -performance data processing and analysis of applications.The framework is based on the Java programming language and adopts a series of design principles and architecture modes to provide high -efficiency, scalable and easy -to -use development environment. Design principle: 1. Distributed computing: The Delta Core framework uses a distributed computing model to process large -scale data, and is processed in parallel by distributing tasks to multiple computing nodes to improve the efficiency and throughput of data processing. Code example: DeltaCore.deltaParallelize(dataList).map(element -> { // Perform data processing operations return processedData; }).collect(); 2. Delay calculation: The Delta Core framework adopts an inert computing mechanism, which will only trigger the calculation process when the results are collected.This mechanism allows developers to dynamically build a calculation assembly line according to actual needs to avoid unnecessary calculation overhead. Code example: DeltaCore.deltaParallelize(dataList).filter(element -> { // Perform data filtering operations return filterCondition; }).map(element -> { // Perform data processing operations return processedData; }).collect(); 3. Visual debugging: The Delta Core framework provides visual debugging tools that can help developers monitor and debug the task being executed in real time, and display the execution process and status information of the task through the visual interface to quickly check errors and optimize performance. Code example: DeltaCore.deltaParallelize(dataList).filter(element -> { // Perform data filtering operations return filterCondition; }).debug(); Overview of architecture: The architecture of the Delta Core framework consists of three core components: data source manager, operating scheduler and task operator. 1. Data source manager: responsible for management and maintenance of data sources, including data input, output, conversion and storage.It provides rich interfaces and tools that support different types of data formats and data sources, such as file systems, databases, message queues, etc. Code example: DataSourceManager.addDataSource("file", new FileDataSource()); DataSourceManager.addDataSource("database", new DatabaseDataSource()); 2. Operation scheduling: Responsible for distributing tasks to different computing nodes and managing the execution process and status of the task.Based on a distributed computing model, it can dynamically adjust the distribution strategy and load balancing of tasks to improve the parallelity and execution efficiency of the task. Code example: JobScheduler jobScheduler = new JobScheduler(); jobScheduler.scheduleJob(job); 3. Task actuator: Responsible for performing specific task logic on each computing node, and return the calculation results to the operating scheduler.It uses thread pools and concurrent tools to manage tasks and provide functions such as abnormal processing and execution monitoring to ensure the reliability and availability of the task. Code example: TaskExecutor taskExecutor = new TaskExecutor(); taskExecutor.executeTask(task); Summarize: The Delta Core framework is an open source framework for developing large -scale, high -performance data processing and analysis of applications.By using design principles such as distributed computing, delay calculation, and visual debugging, as well as the cooperation of core components such as data source managers, operating scheduling and task actuators, this framework provides high -efficiency, scalable and easy -to -use development environment to help help helpDevelopers can easily build and deploy data processing applications.