The performance optimization and tuning experience sharing of the Play WS framework in the Java Class Library

The performance optimization and tuning experience sharing of the Play WS framework in the Java Class Library When using the Play WS framework in the Java library for network requests, performance optimization and tuning are very important.This article will share some experience to help you better understand how to improve the performance of the Play WS framework. 1. Use the connection pool: The connection pool can reuse the network connection that has been established to avoid repeatedly creating the overhead of the connection.In the Play WS framework, the connection pool has been used by default, but you can also adjust the size and timeout of the connection pool by configuration.The example code is as follows: import play.libs.ws.*; import play.libs.ws.ahc.*; public class MyClient { public static void main(String[] args) { WSClient ws = new WSClient(new AhcWSClientConfig().copy().setConnectionPoolSize(100).build()); // Send network request ws.url("https://example.com").get().thenAccept(response -> { System.out.println(response.getBody()); }).toCompletableFuture().join(); ws.close(); } } In the above code, we set the size of the connection pool with the `setConnectionPoolsize" method.You can adjust this value according to your actual needs. 2. Enable GZIP compression: Enable GZIP compression can reduce the size of the network transmission data and improve the performance of the request.In the Play WS framework, GZIP compression has been enabled by default, without additional configuration. 3. Enable connection reuse: By enabling connection reuse, you can reduce handshake overhead during network requests.In the Play WS framework, the connection and reuse have been enabled by default, no additional configuration is required. 4. Set the timeout time: Set the appropriate request timeout time to avoid long -term obstruction in the request process.In the Play WS framework, you can set the request timeout through the configuration parameters below: play.ws.timeout.connection = 5000ms play.ws.timeout.idle = 10000ms play.ws.timeout.request = 30000ms In the above configuration, `Play.ws.Timeout.connection` represents the connection timeout time,` play.ws.timeout.idle` indicates the idle timeout time, `play.ws.timeout.request` indicates the request timeout time.You can adjust according to the actual situation. Through the above optimization and adjustment measures, we can improve the performance of the Play WS framework in the Java class library and obtain a better network request experience.I hope these experiences will be helpful to you!