马府强
2 years ago
8 changed files with 495 additions and 0 deletions
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HELP.md |
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target/ |
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!.mvn/wrapper/maven-wrapper.jar |
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!**/src/main/**/target/ |
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!**/src/test/**/target/ |
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### STS ### |
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.apt_generated |
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.classpath |
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.factorypath |
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.project |
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.settings |
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.springBeans |
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.sts4-cache |
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### IntelliJ IDEA ### |
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.idea |
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*.iws |
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*.iml |
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*.ipr |
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### NetBeans ### |
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/nbproject/private/ |
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/nbbuild/ |
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/dist/ |
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/nbdist/ |
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/.nb-gradle/ |
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build/ |
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!**/src/main/**/build/ |
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!**/src/test/**/build/ |
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### VS Code ### |
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.vscode/ |
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# demo-request-scope |
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《基于ThreadLocal实现一个上下文管理组件》技术博客对应源码 |
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https://juejin.cn/post/7153287656624324638 |
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本文基于`ThreadLocal`原理,实现了一个上下文状态管理组件`Scope`,通过开启一个自定义的`Scope`,在`Scope`范围内,可以通过`Scope`各个方法读写数据; |
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通过自定义线程池实现上下文状态数据的线程间传递; |
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提出了一种基于`Filter`和`Scope`的`Request`粒度的上下文管理方案。 |
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<?xml version="1.0" encoding="UTF-8"?> |
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" |
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"> |
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<modelVersion>4.0.0</modelVersion> |
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<parent> |
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<groupId>org.springframework.boot</groupId> |
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<artifactId>spring-boot-starter-parent</artifactId> |
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<version>2.7.4</version> |
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<relativePath/> <!-- lookup parent from repository --> |
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</parent> |
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<groupId>com.example</groupId> |
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<artifactId>demo-request-scope</artifactId> |
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<version>0.0.1-SNAPSHOT</version> |
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<name>demo-request-scope</name> |
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<description>Demo project for Spring Boot</description> |
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<properties> |
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<java.version>8</java.version> |
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</properties> |
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<dependencies> |
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<dependency> |
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<groupId>com.google.guava</groupId> |
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<artifactId>guava</artifactId> |
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<version>30.1-jre</version> |
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</dependency> |
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<dependency> |
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<groupId>org.springframework.boot</groupId> |
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<artifactId>spring-boot-starter-aop</artifactId> |
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</dependency> |
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<!-- 若使用redisson作为分布式锁底层,则需要引入 --> |
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<dependency> |
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<groupId>com.baomidou</groupId> |
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<artifactId>lock4j-redisson-spring-boot-starter</artifactId> |
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<version>2.2.4</version> |
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</dependency> |
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<dependency> |
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<groupId>org.springframework.boot</groupId> |
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<artifactId>spring-boot-starter-web</artifactId> |
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</dependency> |
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<dependency> |
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<groupId>org.springframework.boot</groupId> |
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<artifactId>spring-boot-starter-test</artifactId> |
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<scope>test</scope> |
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</dependency> |
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<dependency> |
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<groupId>org.projectlombok</groupId> |
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<artifactId>lombok</artifactId> |
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<optional>true</optional> |
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</dependency> |
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<dependency> |
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<groupId>junit</groupId> |
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<artifactId>junit</artifactId> |
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</dependency> |
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</dependencies> |
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<build> |
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<plugins> |
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<plugin> |
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<groupId>org.springframework.boot</groupId> |
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<artifactId>spring-boot-maven-plugin</artifactId> |
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</plugin> |
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</plugins> |
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</build> |
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</project> |
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package com.example.demo; |
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import org.springframework.boot.SpringApplication; |
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import org.springframework.boot.autoconfigure.SpringBootApplication; |
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@SpringBootApplication |
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public class DemoRequestScopeApplication { |
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public static void main(String[] args) { |
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SpringApplication.run(DemoRequestScopeApplication.class, args); |
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} |
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} |
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package com.example.demo.service; |
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import lombok.AllArgsConstructor; |
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import lombok.Data; |
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import org.junit.Test; |
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import java.util.*; |
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import java.util.stream.Collectors; |
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import java.util.stream.Stream; |
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public class TestMain { |
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//工作中常用的一些Stream流操作,多年实践总结
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/** |
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* 演示map的用途:一对一转换 |
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*/ |
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@Test |
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public void stringToIntMap() { |
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List<String> ids = Arrays.asList("205", "105", "308", "469", "627", "193", "111"); |
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// 使用流操作
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List<User> results = ids.stream() |
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.map(id -> { |
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User user = new User(Integer.valueOf(id)); |
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return user; |
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}) |
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.collect(Collectors.toList()); |
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System.out.println(results); |
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} |
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/** |
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* 演示map的用途:一对多转换 |
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*/ |
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@Test |
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public void stringToIntFlatmap() { |
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List<String> sentences = Arrays.asList("hello world", "Jia Gou Wu Dao"); |
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// 使用流操作
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List<String> results = sentences.stream() |
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.flatMap(sentence -> Arrays.stream(sentence.split(" "))) |
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.collect(Collectors.toList()); |
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System.out.println(results); |
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} |
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/** |
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*filter、sorted、distinct、limit |
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*/ |
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@Test |
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public void testGetTargetUsers() { |
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List<String> ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193"); |
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// 使用流操作
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List<User> results = ids.stream() |
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.filter(s -> s.length() > 2) |
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.distinct() |
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.map(Integer::valueOf) |
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.sorted(Comparator.comparingInt(o -> o)) |
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.limit(3) |
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.map(id -> new User(id)) |
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.collect(Collectors.toList()); |
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System.out.println(results); |
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} |
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/** |
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* 简单结果终止方法 |
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*/ |
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@Test |
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public void testSimpleStopOptions() { |
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List<String> ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193"); |
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// 统计stream操作后剩余的元素个数
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System.out.println(ids.stream().filter(s -> s.length() > 2).count()); |
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// 判断是否有元素值等于205
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System.out.println(ids.stream().filter(s -> s.length() > 2).anyMatch("205"::equals)); |
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// findFirst操作
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ids.stream().filter(s -> s.length() > 2) |
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.findFirst() |
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.ifPresent(s -> System.out.println("findFirst:" + s)); |
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} |
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/** |
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* 一旦一个Stream被执行了终止操作之后,后续便不可以再读这个流执行其他的操作了,否则会报错 |
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*/ |
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@Test |
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public void testHandleStreamAfterClosed() { |
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List<String> ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193"); |
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Stream<String> stream = ids.stream().filter(s -> s.length() > 2); |
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// 统计stream操作后剩余的元素个数
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System.out.println(stream.count()); |
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System.out.println("-----下面会报错-----"); |
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// 判断是否有元素值等于205
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try { |
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System.out.println(stream.anyMatch("205"::equals)); |
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} catch (Exception e) { |
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e.printStackTrace(); |
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} |
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System.out.println("-----上面会报错-----"); |
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} |
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/** |
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* 生成集合 |
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*/ |
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@Test |
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public void testCollectStopOptions() { |
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List<User> ids = Arrays.asList(new User(17), new User(22), new User(23)); |
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// collect成list
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List<User> collectList = ids.stream().filter(dept -> dept.getId() > 20) |
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.collect(Collectors.toList()); |
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System.out.println("collectList:" + collectList); |
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// collect成Set
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Set<User> collectSet = ids.stream().filter(dept -> dept.getId() > 20) |
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.collect(Collectors.toSet()); |
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System.out.println("collectSet:" + collectSet); |
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// collect成HashMap,key为id,value为Dept对象
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Map<Integer, User> collectMap = ids.stream().filter(dept -> dept.getId() > 20) |
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.collect(Collectors.toMap(User::getId, dept -> dept)); |
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System.out.println("collectMap:" + collectMap); |
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} |
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/** |
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* 生成拼接字符串 |
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*/ |
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@Test |
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public void testCollectJoinStrings() { |
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List<String> ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193"); |
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String joinResult = ids.stream().collect(Collectors.joining(",")); |
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System.out.println("拼接后:" + joinResult); |
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} |
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/** |
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* 数学运算 |
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*/ |
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@Test |
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public void testNumberCalculate() { |
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List<Integer> ids = Arrays.asList(10, 20, 30, 40, 50); |
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// 计算平均值
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Double average = ids.stream().collect(Collectors.averagingInt(value -> value)); |
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System.out.println("平均值:" + average); |
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// 数据统计信息
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IntSummaryStatistics summary = ids.stream().collect(Collectors.summarizingInt(value -> value)); |
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System.out.println("数据统计信息: " + summary); |
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} |
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} |
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@Data |
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@AllArgsConstructor |
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class User { |
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private int id; |
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} |
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spring: |
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redis: |
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database: 0 |
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# Redis服务器地址 写你的ip |
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host: 192.168.56.10 |
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# Redis服务器连接端口 |
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port: 6379 |
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# Redis服务器连接密码(默认为空) |
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password: 123456 |
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# 连接池最大连接数(使用负值表示没有限制 类似于mysql的连接池 |
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jedis: |
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pool: |
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max-active: 200 |
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# 连接池最大阻塞等待时间(使用负值表示没有限制) 表示连接池的链接拿完了 现在去申请需要等待的时间 |
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max-wait: -1 |
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# 连接池中的最大空闲连接 |
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max-idle: 10 |
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# 连接池中的最小空闲连接 |
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min-idle: 0 |
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# 连接超时时间(毫秒) 去链接redis服务端 |
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timeout: 6000 |
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package com.example.demo.testscope; |
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import lombok.AllArgsConstructor; |
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import lombok.Data; |
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import org.junit.jupiter.api.Test; |
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import java.util.*; |
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import java.util.stream.Collectors; |
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import java.util.stream.Stream; |
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public class TestMain { |
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//工作中常用的一些Stream流操作,多年实践总结
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/** |
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* 演示map的用途:一对一转换 |
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*/ |
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@Test |
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public void stringToIntMap() { |
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List<String> ids = Arrays.asList("205", "105", "308", "469", "627", "193", "111"); |
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// 使用流操作
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List<User> results = ids.stream() |
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.map(id -> { |
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User user = new User(Integer.valueOf(id)); |
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return user; |
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}) |
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.collect(Collectors.toList()); |
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System.out.println(results); |
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} |
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/** |
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* 演示map的用途:一对多转换 |
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*/ |
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@Test |
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public void stringToIntFlatmap() { |
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List<String> sentences = Arrays.asList("hello world", "Jia Gou Wu Dao"); |
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// 使用流操作
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List<String> results = sentences.stream() |
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.flatMap(sentence -> Arrays.stream(sentence.split(" "))) |
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.collect(Collectors.toList()); |
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System.out.println(results); |
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} |
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/** |
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*filter、sorted、distinct、limit |
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*/ |
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@Test |
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public void testGetTargetUsers() { |
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List<String> ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193"); |
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// 使用流操作
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List<User> results = ids.stream() |
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.filter(s -> s.length() > 2) |
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.distinct() |
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.map(Integer::valueOf) |
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.sorted(Comparator.comparingInt(o -> o)) |
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.limit(3) |
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.map(id -> new User(id)) |
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.collect(Collectors.toList()); |
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System.out.println(results); |
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} |
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/** |
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* 简单结果终止方法 |
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*/ |
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@Test |
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public void testSimpleStopOptions() { |
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List<String> ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193"); |
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// 统计stream操作后剩余的元素个数
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System.out.println(ids.stream().filter(s -> s.length() > 2).count()); |
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// 判断是否有元素值等于205
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System.out.println(ids.stream().filter(s -> s.length() > 2).anyMatch("205"::equals)); |
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// findFirst操作
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ids.stream().filter(s -> s.length() > 2) |
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.findFirst() |
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.ifPresent(s -> System.out.println("findFirst:" + s)); |
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} |
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/** |
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* 一旦一个Stream被执行了终止操作之后,后续便不可以再读这个流执行其他的操作了,否则会报错 |
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*/ |
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@Test |
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public void testHandleStreamAfterClosed() { |
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List<String> ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193"); |
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Stream<String> stream = ids.stream().filter(s -> s.length() > 2); |
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// 统计stream操作后剩余的元素个数
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System.out.println(stream.count()); |
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System.out.println("-----下面会报错-----"); |
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// 判断是否有元素值等于205
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try { |
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System.out.println(stream.anyMatch("205"::equals)); |
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} catch (Exception e) { |
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e.printStackTrace(); |
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} |
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System.out.println("-----上面会报错-----"); |
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} |
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/** |
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* 生成集合 |
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*/ |
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@Test |
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public void testCollectStopOptions() { |
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List<User> ids = Arrays.asList(new User(17), new User(22), new User(23)); |
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// collect成list
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List<User> collectList = ids.stream().filter(dept -> dept.getId() > 20) |
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.collect(Collectors.toList()); |
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System.out.println("collectList:" + collectList); |
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// collect成Set
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Set<User> collectSet = ids.stream().filter(dept -> dept.getId() > 20) |
||||
|
.collect(Collectors.toSet()); |
||||
|
System.out.println("collectSet:" + collectSet); |
||||
|
// collect成HashMap,key为id,value为Dept对象
|
||||
|
Map<Integer, User> collectMap = ids.stream().filter(dept -> dept.getId() > 20) |
||||
|
.collect(Collectors.toMap(com.example.demo.testscope.User::getId, dept -> dept)); |
||||
|
System.out.println("collectMap:" + collectMap); |
||||
|
} |
||||
|
|
||||
|
|
||||
|
|
||||
|
|
||||
|
/** |
||||
|
* 生成拼接字符串 |
||||
|
*/ |
||||
|
@Test |
||||
|
public void testCollectJoinStrings() { |
||||
|
List<String> ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193"); |
||||
|
String joinResult = ids.stream().collect(Collectors.joining(",")); |
||||
|
System.out.println("拼接后:" + joinResult); |
||||
|
} |
||||
|
|
||||
|
|
||||
|
|
||||
|
|
||||
|
|
||||
|
/** |
||||
|
* 数学运算 |
||||
|
*/ |
||||
|
@Test |
||||
|
public void testNumberCalculate() { |
||||
|
List<Integer> ids = Arrays.asList(10, 20, 30, 40, 50); |
||||
|
// 计算平均值
|
||||
|
Double average = ids.stream().collect(Collectors.averagingInt(value -> value)); |
||||
|
System.out.println("平均值:" + average); |
||||
|
// 数据统计信息
|
||||
|
IntSummaryStatistics summary = ids.stream().collect(Collectors.summarizingInt(value -> value)); |
||||
|
System.out.println("数据统计信息: " + summary); |
||||
|
} |
||||
|
|
||||
|
|
||||
|
|
||||
|
|
||||
|
} |
||||
|
|
||||
|
|
||||
|
@Data |
||||
|
@AllArgsConstructor |
||||
|
class User { |
||||
|
private int id; |
||||
|
|
||||
|
} |
Loading…
Reference in new issue