Activeio is a core framework in a Java library, which provides developers with a method of simplifying and efficiently processing I/O operations.This framework uses event drive to abstract I/O as an event, and to handle these events to achieve data reading and writing.This article will introduce how to use the Activeio framework for I/O operation and provide some Java code examples. First, we need to introduce Activeio's dependence in the Java project.You can download the jar file of Activeio through Maven or manually and add it to the project. Once the Activeio library is introduced into the project, we can start using it to process I/O operations.The following is an example of using the Activeio framework for file reading and writing: ```java import org.activeio.BufferedChannel; import org.activeio.Channel; import org.activeio.ReadEvent; import org.activeio.WriteEvent; import org.activeio.adapter.channel.BufferedChannelFactory; import org.activeio.adapter.nio.SelectionKeyHandler; import org.activeio.adapter.nio.selector.DefaultSelectorThread; import org.activeio.adapter.nio.selector.NioSelector; import org.activeio.adapter.nio.selector.SelectorThread; import org.activeio.adapter.nio.selector.SelectionKeyHandlerFactory; import java.io.File; import java.io.FileInputStream; import java.io.FileOutputStream; import java.nio.ByteBuffer; public class ActiveIOExample { public static void main(String[] args) throws Exception { // Create a file input stream FileInputStream inputStream = new FileInputStream(new File("input.txt")); // Create a file output flow FileOutputStream outputStream = new FileOutputStream(new File("output.txt")); // Create Activeio's selection device thread SelectorThread selectorThread = new DefaultSelectorThread(); // Create Activeio's channel factory BufferedChannelFactory channelFactory = new BufferedChannelFactory(); // Create Activeio's selection key processing factory SelectionKeyHandlerFactory handlerFactory = new SelectionKeyHandlerFactory(); // Create an input and output Activeio channel Channel inputChannel = channelFactory.createChannel(inputStream.getChannel()); Channel outputChannel = channelFactory.createChannel(outputStream.getChannel()); // Register the selection device thread and select key processing factory NioSelector nioSelector = new NioSelector(selectorThread, handlerFactory); // Register input and output channels nioSelector.register(inputChannel, new ReadEventHandler()); nioSelector.register(outputChannel, new WriteEventHandler()); // Start the selector thread selectorThread.start(); // The event cycle of the Activeio framework starts while (true) { nioSelector.select(); } } private static class ReadEventHandler implements SelectionKeyHandler { @Override public void handle(SelectionKey selectionKey) throws Exception { if (selectionKey.isValid() && selectionKey.isReadable()) { ReadEvent readEvent = (ReadEvent) selectionKey.attachment(); Channel channel = readEvent.getChannel(); ByteBuffer buffer = readEvent.getBuffer(); // Read data from the channel to the buffer int bytesRead = channel.read(buffer); // If you read the data, process it if (bytesRead != -1) { buffer.flip (); // Switch to reading mode byte[] data = new byte[buffer.limit()]; buffer.get(data); // Perform data processing, here is printing as an example System.out.println(new String(data)); buffer.clear (); // Clear the buffer, prepare for the next reading } } } } private static class WriteEventHandler implements SelectionKeyHandler { @Override public void handle(SelectionKey selectionKey) throws Exception { if (selectionKey.isValid() && selectionKey.isWritable()) { WriteEvent writeEvent = (WriteEvent) selectionKey.attachment(); Channel channel = writeEvent.getChannel(); ByteBuffer buffer = writeEvent.getBuffer(); // Write the data in the buffer into the channel channel.write(buffer); // If the data is not written in the buffer, continue to register and write the event if (buffer.hasRemaining()) { selectionKey.interestOps(selectionKey.interestOps() | SelectionKey.OP_WRITE); } } } } } ``` In the above examples, we use the Activeio framework to create a selector thread and channel factory.Then, we created a file input stream and a file output stream, and used the channel factory to pack them into the Activeio channel.Next, we use the selector thread and select key processing factory to register the input and output channel into the selector. Finally, we call the select () method of the selector in a cycle to trigger the processing of I/O events.In the selector, we use the selection key processing factory to create the processing processor and writing event processor, and associate them with the corresponding channel.In the processing processor, we read data from the channel and process it; in the writing event processor, we write the data in the buffer into the channel.If there is still data in the buffer, continue to register the event. The above example is just a simple usage of the Activeio framework. You can use more functions provided by Activeio and API according to actual needs for more complicated I/O operations.

In -depth understanding of the technical details of cheating in the java class library :: Commons :: Annotations framework Introduction: Che (Eclipse Che) is a web browser -based IDE (integrated development environment) and development platform. It provides many powerful functions that enable developers to develop and deploy applications easier to develop and deploy applications.Che Core :: Commons :: Annotations framework is an important component in the CHE core library. It provides developers with the ability to use annotations to simplify and enhance the writing and understanding of code.This article will explore the technical details of the framework, including its usage, important functions, and example code. 1. The concept and role of the annotation Before understanding Che Core :: Commons :: Annotations framework, we first need to understand the concept and role of the annotation.Note is a metadata for providing additional information to the compiler, interpreter or other tools.In Java, the annotation starts with the "@" symbol, and can be attached to the class, methods, fields, or other program elements.Note can be used to describe various elements in the class library, framework or application to provide additional configuration and behavior.By using annotations, we can more easily write code that can read more readability and higher maintenance. 2. How to use cheers :: Commons :: Annotations 1. Introduce dependencies To use Chens :: Commons :: Annotations framework, we need to add corresponding dependencies to the configuration file of the project.You can manage dependencies through building tools such as Maven and ensure the use of the latest version. 2. Definition custom annotation Che Core :: Commons :: Annotations framework provides interfaces and types of annotation elements for defining custom annotations.We can define custom annotations by creating an interface containing an annotation element.Note elements can be basic data types, types, enumeration types, annotations, or their array. The following is an example that shows how to define a custom annotation: ```java import org.eclipse.che.commons.annotation.Annotation; @Annotation public @interface MyAnnotation { String value() default ""; int count() default 0; } ``` In the above example, we define a custom annotation called "Myannotation". It has two annotation elements, namely "Value" and "Count".These annotations can be configured when using the annotation. 3. Use annotations Once we define custom annotations, we can use them in the code.We can add custom annotations to the class, methods, or fields, and can set their values according to the definition of the annotation element. The following is an example that shows how to use custom annotations in the Java class: ```java @MyAnnotation(value = "example", count = 5) public class MyClass { // class implementation } ``` In the above example, we use the custom annotation "Myannotation" on the "MyClass" class, and set the values of the annotation element "Value" and "Count". 3. Important functions and application scenarios Chens :: Commons :: Annotations framework provides many important functions, enabling developers to better use annotations to simplify and enhance the code. 1. Metal data access during runtime Using Che Core :: Commons :: Annotations framework, we can obtain information about the annotation and annotation elements at runtime.This provides us with a mechanism of dynamic configuration and behavior to meet different needs. 2. Code check during compilation By adding annotations to the code, we can check and verify the code during compilation.This can help us capture and correct potential errors and improve the quality and stability of the code. 3. Code generation and enhancement Che Core :: Commons :: Annotations framework also provides the ability to generate code generation and enhancement.We can use the annotation to generate code, and we can modify, replace or enhance the existing code through the annotation processor.This provides us with a more flexible and scalable code writing method. Fourth, sample code Below is an example code using che. ```java @GenerateCode public class MyClass { // class implementation } ``` In the above example, we used a built -in annotation called "GenerateCode" on the "MyClass" class.Based on this annotation, we can create an annotation processor that will automatically generate some code according to the annotation of the class. in conclusion: This article discusses the technical details of Che Core :: COMMONS :: Annotations framework, including usage methods, important functions, and sample code.By understanding and using this framework, developers can better use annotations to simplify and enhance their code.I hope this article will help you understand Che Core :: Commons :: Annotations framework and can play a role in actual development.

The Through2 framework is an important technical tool in the Java class library that provides a convenient way to process streaming data.It can be converted, screened and processed when the data circulates the assembly line.The key technical points of the Through2 framework will be introduced below. 1. Streaming data processing: Through2 framework can process stream data containing a large amount of data.It realizes the expansion of the Java Stream API, making the processing of data flow more efficient and flexible.Developers can use the API of the Through2 framework to convert data streams, such as mapping, filtering, and returning to, thereby simplifying the writing of code. 2. Converters and processors: The Through2 framework provides a set of converters and processors for processing of data streams.The converter can modify the data in the data stream, and the processor can perform more complicated operations on the data stream, such as aggregation, grouping, etc.By using these converters and processors, developers can flexibly processes the data stream and operate according to actual needs. Below is a sample code that shows how to create a simple data conversion assembly line in the Through2 framework: ```java import com.through2.Through; public class Through2Example { public static void main(String[] args) { Through.streamOf(getDataSource()) .filter(data -> data.startsWith("A")) .map(String::toUpperCase) .forEach(System.out::println); } private static List<String> getDataSource() { return Arrays.asList("Apple", "Banana", "Apricot", "Cherry"); } } ``` In the above code, first create a Through2 stream containing data source through the method of `Through.streamof ().Then, use the `Filter ()` method to filter the data in the stream, and keep only the data beginning with the letter "a".Then, use the `map ()` method to convert the filtered data into uppercase forms.Finally, use the `Foreach ()` method to print out the data one by one. Through the above example code, we can understand how the Through2 framework processs the data stream through a series of converters and processors.These functions can greatly improve the flexibility and efficiency of developers when processing data flow. In summary, through the introduction of short code examples and key technical points, we can realize that the Through2 framework is a very useful Java class library.Converters and processors meet the needs in different scenarios.

Through 2 is a stream processing framework widely used in the Java library.It provides an elegant and efficient method to deal with streaming data, especially when processing large data sets and complex trading tasks is very useful.The following will explain the technical principles of the 2 framework and provide some Java code examples. By using Java's Stream API to provide a simple way to process stream data.It makes full use of the functional programming characteristics introduced by the Java 8, and combines multiple operations together through a chain call to form a complete flow processing pipe. The core concept of 2 is to convert and operate data streams through operations such as Transform, Filter, and Flatmap.Through Transform operation, the specified conversion logic can be performed on each element in the stream, and a new conversion flow can be returned.For example, the following code uses 2 to multiply each element in an integer stream by 2: ``` Stream<Integer> stream = Stream.of(1, 2, 3, 4, 5); Stream<Integer> transformedStream = stream.map(i -> i * 2); transformedStream.forEach(System.out::println); ``` Through the Filter operation, the element of streaming can be selected according to the specified conditions.For example, the following code is used to filter the even number of an integer stream through 2: ``` Stream<Integer> stream = Stream.of(1, 2, 3, 4, 5); Stream<Integer> filteredStream = stream.filter(i -> i % 2 == 0); filteredStream.forEach(System.out::println); ``` Through Flatmap operation, multiple streams can be merged into one stream, and the elements of each stream can be mapped into a new stream.For example, the following code is used to merge multiple integer streams into one stream: ``` Stream<Integer> stream1 = Stream.of(1, 2, 3); Stream<Integer> stream2 = Stream.of(4, 5, 6); Stream<Integer> mergedStream = Stream.concat(stream1, stream2); mergedStream.forEach(System.out::println); ``` It also supports other commonly used operations, such as sorting, contracting and batch processing.It also provides rich error treatment and fault tolerance mechanisms to ensure the stability and reliability of the flow processing process. In short, 2 is a flexible and powerful stream processing framework.It uses the characteristics of Java functional programming to provide a simple and efficient way to process stream data.By using Transform, Filter, Flatmap and other operations, we can conduct various conversion, filtering and merging operations on the data stream.When dealing with large -scale data sets and complex trading tasks, better performance and readability can be provided through the 2 framework.

The technical principles of exploring the Through2 framework in the Java class library By 2 is a widely used framework in the Java library, it provides a flexible and efficient data transformation mechanism.This article will explore the technical principles of the Through2 framework in depth and demonstrate its use through the Java code example. The core concept of the Through2 framework is "Objects" by stream.It uses Java's streaming processing and functional programming characteristics to make data processing and conversion more simple and maintainable. The main components of Through2 include source, transform, and targets.The source is the generation of data, which can be file, database query, network request, etc.The converter is a component of the data generated by the source, which can perform data filtering, mapping, sorting and other operations.The goal is the result of data processing, which can be files, databases, networks, etc. Below is a simple example. Use the Through2 framework to convert each row of data in a text file into uppercase letters and output to another file: ```java import through2.*; public class Example { public static void main(String[] args) { Stream <string> Source = Through2.fromfile ("Input.txt"); // Create source, read data from the file Stream <string> Transformed = Source.Map (String :: Touppercase); // Convert data to capitalized letters Transformed.pipe (through2.tofile ("output.txt"); // output to the file to the file } } ``` In the above example, `Through2.fromfile (" Input.txt ")` created a source to read data through file `input.txt`.`source.map (String :: Touppercase)` defines a converter that converts each row of data into uppercase letters.Finally, `Transformed.pipe (Through2.tofile (" Output.txt ")` `output the conversion data into the file` Output.txt`. The Through2 framework uses Java's Lambda expression and flow operation to achieve data conversion chain processing.The data can be converted multiple times by calling the converter multiple times, and the conversion data is passed to the next converter or target. In addition to the simple conversion operations in the above examples, the Through2 framework also provides rich operators, such as filters, sorters, parslars, etc., which can perform more complex and flexible data processing. In summary, the Through2 framework provides a simple and powerful data flow conversion mechanism by using Java's streaming processing and functional programming characteristics.Its core principle is to achieve data conversion through the data processing chain composed of sources, converters and targets.By using the Through2 framework, developers can perform data processing and conversion operations more efficiently.

Jakarta Persistence API (JPA) is a framework used in the Java library for object relationship mapping (ORM).It provides a simple and standard method that maps the Java object to the tables in the relationship database and the durable operations for these tables. The emergence of JPA is to solve the tedious and complexity of the traditional JDBC programming.Using JPA, developers can describe the mapping relationship between the object and the database table by annotating or XML configuration, thereby achieving the durable and retrieval of the data. The core of JPA consists of three parts: 1. Entity CLASSES: The physical class of JPA is an ordinary Java class to represent the physical object in the application.These entity classes describe the mapping relationship between the database table through annotations or XML configuration. 2. Entity Manager: The entity manager is an interface provided by JPA to manage the life cycle of the physical object.Through the physical manager, developers can complete the operation of data persistence, query, and update. 3. JPQL (Java Persistence Query Language): JPQL is a query language for JPA to query the database.It is similar to SQL, but has nothing to do with the database.Developers can use JPQL query statements to retrieve and operate entity objects. The following is a simple example, which shows how to use JPA for the persistence and query operation of the object: ```java // Import jpa -related classes import javax.persistence.*; // Define a physical class @Entity @Table(name = "employees") public class Employee { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; private String name; private String designation; // Construction method, Getter and Setter method ... } // Define the class of a management entity object public class EntityManagerExample { // Define the physical manager factory private static final EntityManagerFactory emf = Persistence.createEntityManagerFactory("my-persistence-unit"); public static void main(String[] args) { // Create a physical manager EntityManager em = emf.createEntityManager(); // Open transaction EntityTransaction tx = em.getTransaction(); tx.begin(); // Create a physical object Employee employee = new Employee(); employee.setName("John Doe"); employee.setDesignation("Software Engineer"); // Express the physical object to the database em.persist(employee); // Submit a transaction tx.commit(); // Turn off the physical manager em.close(); } } ``` In the above examples, we first define a `Employee" physical class, and use annotations `@Entity` and@Table` to describe the mapping relationship between it and the database table.Then, a solid manager was created in the API of JPA in the `EntityManageRexample`, and the object of the` Employee` is persisted to the database by it. In short, Jakarta Persistence API provides a simple and standard way to achieve object relationship mapping for Java developers.Through JPA, developers can make databases more easily to improve development efficiency.

Analysis of the principle of the 2 framework in the Java library The Java class library is a tool for developing Java applications.By using different frameworks, we can develop and manage functions in the Java library more efficiently.This article will focus on the principle of functional function in the Java class library through two common frameworks, and provide corresponding Java code examples. The first framework is through 2.Through 2 is a stream processing library, it provides a simple and powerful way to operate the data stream.The following is an analysis of the principle of the framework in the Java library. 1. Data stream preparation: To use 2, we first need to prepare the input and output data stream.In the Java library, use the `InputStream` and` OutputStream` classes to process the input and output. ```java InputStream inputStream = new FileInputStream("input.txt"); OutputStream outputStream = new FileOutputStream("output.txt"); ``` 2. Through 2 stream connection: 2 allows us to process the data stream through multiple steps.We can use the `.pipe () method to connect different processing steps and process them through them.The following is a sample code with a 2 stream connection: ```java inputStream.pipe(step1).pipe(step2).pipe(outputStream); ``` In this example, `Step1` and` Step2` represent two different processing steps. They will gradually process the input stream in the order of connection and send the results to the output stream. 3. Processing step definition: In the 2, we can define different processing steps to operate the data.The steps can be a simple function or complex processing chain.The following is an example that shows how to process the data stream through a function: ```java Function<Buffer, Buffer> step1 = (buffer) -> { // Process input buffer // Return to the processed buffer return processedBuffer; }; ``` In this function, we can perform any operations to the input buffer and return the processing buffer. 4. Abnormal treatment: You can also handle abnormalities through 2.We can handle the abnormalities by calling the `.onerror ()` method and specify the movement of the treatment of abnormalities.Here are a code for example anomalous processing: ```java inputStream.pipe(step1) .onError(throwable -> { // Treatment abnormal situation }) .pipe(step2) .pipe(outputStream); ``` In this example, we specify the functions of abnormal processing in the stream connection and process it when abnormalities appear. Similarly, more other functions are provided through the 2 framework, such as the conversion, merger, and division of flow.It can be easily configured and customized according to actual needs. Summarize: It provides a simple and powerful way through the 2 framework to operate the data flow in the Java class library.It allows us to define the processing steps and connect them to achieve complex flow processing operations.In this article, we introduced the principle of 2 and provided related Java code examples to illustrate its usage.Through learning and practice, developers can better use the 2 framework to improve the efficiency of data flow operations for Java libraries.

Use the Jakarta Persistence API framework in the Java Library to improve development efficiency Java is a powerful programming language that has a wide range of libraries to promote application development.In the Java class library, there is a powerful framework called Jakarta Persistence API (referred to as JPA), which can significantly improve development efficiency. JPA is a framework based on ORM (object relationship mapping), which can simplify the interaction between Java applications and relational databases.It provides a set of APIs and tools that allows developers to operate databases in an object without writing complex SQL statements.Using JPA, we can use the Java class and objects to represent the database table and records, and to mappore the relationship between them through some simple annotations. The following is a simple example of using JPA to show how to use the JPA framework to complete the database operation: First of all, we need to add JPA dependencies to the pom.xml file: ```xml <dependencies> <dependency> <groupId>org.eclipse.persistence</groupId> <artifactId>jakarta.persistence</artifactId> <version>3.0.0</version> </dependency> </dependencies> ``` Then we create a physical class to represent a record in the database table: ```java @Entity @Table(name = "students") public class Student { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; private String name; private int age; // Getter and Setter of the constructor and other attributes } ``` In this example, we use the @entity annotation mark. This is a physical class, and the @Table annotation specifies the corresponding database table name.Use @Inte and @GENERATEDVALUE annotations to mark the primary key field. Next, we can use the EntityManager provided by JPA to operate the database: ```java import jakarta.persistence.EntityManager; import jakarta.persistence.EntityManagerFactory; import jakarta.persistence.Persistence; public class Main { public static void main(String[] args) { EntityManagerFactory emf = Persistence.createEntityManagerFactory("my-pu"); EntityManager em = emf.createEntityManager(); // The code of operating the database em.close(); emf.close(); } } ``` In this example, we first created a physical manager factory through the CreatentityManagerFactory method of the Persistence class.Then, an entity manager (EntityManager) was created using a physical manager factory.Finally, we can use the physical manager for various database operations, such as inserting, querying, updating and deleting. In summary, the Jakarta Persistence API framework is a powerful Java class library that can improve the productivity of developers.It provides a way to simplify database operations, enabling developers to focus more on the implementation of business logic without paying attention to the database details of the bottom.If you are a Java developer, strongly recommend that you learn and apply the JPA framework to improve your development efficiency.

Through the technology of the 2 framework in the Java library Realizing the technology of 2 frameworks in the Java library can help developers handle data streams more efficiently.This article will introduce how to use the 2 framework in the Java library to achieve data flow processing and provide the corresponding Java code example. 2 The framework is a stream data processing library that helps us handle various operations in the data stream.Through this framework, we can guide the data flow into a processing pipe, and then perform various operations in the pipeline, and finally export the processing results. First, let's see a simple example of using 2 frameworks.Suppose we have a data stream containing some integer. We hope to filter out the integer more than 10 of them and calculate their average.The following is an example of code implemented using the 2 framework: ```java import java.util.stream.Stream; import com.github.xiaoyao9184.j2se.util.functional.pipeline.VoidPipeline; import com.github.xiaoyao9184.j2se.util.functional.pipeline.VoidStopPipeline; import com.github.xiaoyao9184.j2se.util.functional.pipeline.Pipeline; import com.github.xiaoyao9184.j2se.util.functional.pipeline.VoidBiPipelineAction; import com.github.xiaoyao9184.j2se.util.functional.pipeline.VoidPipelineAction; public class Main { public static void main(String[] args) { Stream<Integer> dataStream = Stream.of(5, 10, 15, 20, 25); Pipeline<Integer, Integer> pipeline = new VoidPipeline<>(); pipeline.startWith(dataStream) .filter(i -> i > 10) .mapToInt(i -> i) .average() .ifPresent(System.out::println); } } ``` In the above code, we first created an integer type of data stream and passed it into the PIPELINE of the 2 framework.Then, a series of operations were performed in Pipeline, the filtration operation was performed first, the integer greater than 10 was filtered, and the result was converted to int type.In the end, we printed the calculated average with the IFPRESENT method. In addition to the operations in the above examples, the 2 framework also provides rich operators, including mapping, removing, grouping, and sorting, which can be selected and used according to actual needs. It is worth mentioning that the 2 framework also supports parallel processing data streams, which can make full use of the computing power of multi -core processors to speed up the data processing speed.You only need to call the Parallel method at the end of Pipeline to open parallel processing. Through the above examples and explanations, we can see that using 2 frameworks in the Java class can simplify the processing of data flow and provide a powerful and flexible operation method.Developers can achieve more complicated data processing logic based on actual needs and operating symbols provided by the 2 framework. To sum up, the implementation of the technology in the Java library through the 2 framework can help developers handle data flow more efficiently, simplify the complexity of the development process, and provide flexible and diverse operation methods.I hope this article will help you use a 2 framework in the Java library.

Technical analysis of the Through2 framework in the Java class library Through2 is a stream processing framework in the Java class library, which provides a simple and efficient way to process and convey the flow data.In this article, we will explore the technical details of the Through2 framework and provide some Java code examples to help readers understand. The Through2 framework is based on the concept of flow processing, where flow data can be continuous data from files, network connections or other data sources.By using the Through2 framework, developers can easily process, convert and operate current data without writing tedious cycle and conditional statements. First, we need to import the dependency items of the Through2 framework as part of the project.By adding dependence on the Through2 library to the project construction file, we can easily use the function of the framework.The following is an example of the Gradle constructive file, which contains the dependency item of the Through2 library: ``` dependencies { implementation 'com.through2:through2:1.0.0' } ``` Once we add it to the project, we can start using the Through2 framework.Below is a simple example that demonstrates how to use the Through2 framework to process stream data: ```java import com.through2.filter.Filter; import com.through2.transform.Transform; public class StreamProcessor { public static void main(String[] args) { // Create a filter, filter out an integer greater than 10 Filter<Integer> filter = data -> data > 10; // Create a converter and convert the integer to the corresponding string Transform<Integer, String> transform = Object::toString; // Create a flow data source Stream<Integer> source = Stream.of(5, 10, 15, 20); // Use Through2 framework to process stream data source.filter(filter) .map(transform) .forEach(System.out::println); } } ``` In the above example, we first define a filter that screened an integer greater than 10.We then define a converter that converted the integer to the corresponding string representation.Next, we created a stream data source that contains several integers.Finally, we use the Through2 framework to process stream data.Through chain calling `Filter` and` Map`, we applied the filters and converters we previously defined in order, and finally printed the results through the `foreach` method. The Through2 framework also provides rich operators and functions, which can meet different actual needs.For example, we can use the `Flatmap` method to flatten the flow data, or use the` reduce` method to converge the flow data.By using these operators, we can efficiently and flexibly process current data. In summary, the Through2 framework is a powerful and flexible stream processing framework in the Java class library, which provides a simple and elegant way to process and conversion data.By using the Through2 framework, developers can process streaming data more efficiently and reduce tedious encoding work.It is hoped that the technical analysis and sample code provided herein can help readers understand and use the Through2 framework.