diff --git a/streamdemo/.gitignore b/streamdemo/.gitignore
new file mode 100644
index 0000000..549e00a
--- /dev/null
+++ b/streamdemo/.gitignore
@@ -0,0 +1,33 @@
+HELP.md
+target/
+!.mvn/wrapper/maven-wrapper.jar
+!**/src/main/**/target/
+!**/src/test/**/target/
+
+### STS ###
+.apt_generated
+.classpath
+.factorypath
+.project
+.settings
+.springBeans
+.sts4-cache
+
+### IntelliJ IDEA ###
+.idea
+*.iws
+*.iml
+*.ipr
+
+### NetBeans ###
+/nbproject/private/
+/nbbuild/
+/dist/
+/nbdist/
+/.nb-gradle/
+build/
+!**/src/main/**/build/
+!**/src/test/**/build/
+
+### VS Code ###
+.vscode/
diff --git a/streamdemo/README.md b/streamdemo/README.md
new file mode 100644
index 0000000..c912aec
--- /dev/null
+++ b/streamdemo/README.md
@@ -0,0 +1,11 @@
+# demo-request-scope
+
+《基于ThreadLocal实现一个上下文管理组件》技术博客对应源码
+
+https://juejin.cn/post/7153287656624324638
+
+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;
+
+通过自定义线程池实现上下文状态数据的线程间传递;
+
+提出了一种基于`Filter`和`Scope`的`Request`粒度的上下文管理方案。
diff --git a/streamdemo/pom.xml b/streamdemo/pom.xml
new file mode 100644
index 0000000..881cdf6
--- /dev/null
+++ b/streamdemo/pom.xml
@@ -0,0 +1,72 @@
+
+
+ 4.0.0
+
+ org.springframework.boot
+ spring-boot-starter-parent
+ 2.7.4
+
+
+ com.example
+ demo-request-scope
+ 0.0.1-SNAPSHOT
+ demo-request-scope
+ Demo project for Spring Boot
+
+ 8
+
+
+
+
+
+
+ com.google.guava
+ guava
+ 30.1-jre
+
+
+
+ org.springframework.boot
+ spring-boot-starter-aop
+
+
+
+
+ com.baomidou
+ lock4j-redisson-spring-boot-starter
+ 2.2.4
+
+
+
+ org.springframework.boot
+ spring-boot-starter-web
+
+
+
+ org.springframework.boot
+ spring-boot-starter-test
+ test
+
+
+
+ org.projectlombok
+ lombok
+ true
+
+
+ junit
+ junit
+
+
+
+
+
+
+ org.springframework.boot
+ spring-boot-maven-plugin
+
+
+
+
+
diff --git a/streamdemo/src/main/java/com/example/demo/DemoRequestScopeApplication.java b/streamdemo/src/main/java/com/example/demo/DemoRequestScopeApplication.java
new file mode 100644
index 0000000..4c0d58d
--- /dev/null
+++ b/streamdemo/src/main/java/com/example/demo/DemoRequestScopeApplication.java
@@ -0,0 +1,13 @@
+package com.example.demo;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+@SpringBootApplication
+public class DemoRequestScopeApplication {
+
+ public static void main(String[] args) {
+ SpringApplication.run(DemoRequestScopeApplication.class, args);
+ }
+
+}
diff --git a/streamdemo/src/main/java/com/example/demo/service/TestMain.java b/streamdemo/src/main/java/com/example/demo/service/TestMain.java
new file mode 100644
index 0000000..1cc9d72
--- /dev/null
+++ b/streamdemo/src/main/java/com/example/demo/service/TestMain.java
@@ -0,0 +1,172 @@
+package com.example.demo.service;
+
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import org.junit.Test;
+
+import java.util.*;
+import java.util.stream.Collectors;
+import java.util.stream.Stream;
+
+public class TestMain {
+
+//工作中常用的一些Stream流操作,多年实践总结
+
+ /**
+ * 演示map的用途:一对一转换
+ */
+ @Test
+ public void stringToIntMap() {
+ List ids = Arrays.asList("205", "105", "308", "469", "627", "193", "111");
+ // 使用流操作
+ List results = ids.stream()
+ .map(id -> {
+ User user = new User(Integer.valueOf(id));
+ return user;
+ })
+ .collect(Collectors.toList());
+ System.out.println(results);
+ }
+
+
+ /**
+ * 演示map的用途:一对多转换
+ */
+ @Test
+ public void stringToIntFlatmap() {
+ List sentences = Arrays.asList("hello world", "Jia Gou Wu Dao");
+ // 使用流操作
+ List results = sentences.stream()
+ .flatMap(sentence -> Arrays.stream(sentence.split(" ")))
+ .collect(Collectors.toList());
+ System.out.println(results);
+ }
+
+
+
+
+
+ /**
+ *filter、sorted、distinct、limit
+ */
+ @Test
+ public void testGetTargetUsers() {
+ List ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193");
+ // 使用流操作
+ List results = ids.stream()
+ .filter(s -> s.length() > 2)
+ .distinct()
+ .map(Integer::valueOf)
+ .sorted(Comparator.comparingInt(o -> o))
+ .limit(3)
+ .map(id -> new User(id))
+ .collect(Collectors.toList());
+ System.out.println(results);
+ }
+
+
+
+
+ /**
+ * 简单结果终止方法
+ */
+ @Test
+ public void testSimpleStopOptions() {
+ List ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193");
+ // 统计stream操作后剩余的元素个数
+ System.out.println(ids.stream().filter(s -> s.length() > 2).count());
+ // 判断是否有元素值等于205
+ System.out.println(ids.stream().filter(s -> s.length() > 2).anyMatch("205"::equals));
+ // findFirst操作
+ ids.stream().filter(s -> s.length() > 2)
+ .findFirst()
+ .ifPresent(s -> System.out.println("findFirst:" + s));
+ }
+
+
+
+
+
+ /**
+ * 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
+ */
+ @Test
+ public void testHandleStreamAfterClosed() {
+ List ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193");
+ Stream stream = ids.stream().filter(s -> s.length() > 2);
+ // 统计stream操作后剩余的元素个数
+ System.out.println(stream.count());
+ System.out.println("-----下面会报错-----");
+ // 判断是否有元素值等于205
+ try {
+ System.out.println(stream.anyMatch("205"::equals));
+ } catch (Exception e) {
+ e.printStackTrace();
+ }
+ System.out.println("-----上面会报错-----");
+ }
+
+
+ /**
+ * 生成集合
+ */
+ @Test
+ public void testCollectStopOptions() {
+ List ids = Arrays.asList(new User(17), new User(22), new User(23));
+ // collect成list
+ List collectList = ids.stream().filter(dept -> dept.getId() > 20)
+ .collect(Collectors.toList());
+ System.out.println("collectList:" + collectList);
+ // collect成Set
+ Set 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 collectMap = ids.stream().filter(dept -> dept.getId() > 20)
+ .collect(Collectors.toMap(User::getId, dept -> dept));
+ System.out.println("collectMap:" + collectMap);
+ }
+
+
+
+
+ /**
+ * 生成拼接字符串
+ */
+ @Test
+ public void testCollectJoinStrings() {
+ List 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 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;
+
+}
\ No newline at end of file
diff --git a/streamdemo/src/main/resources/application.properties b/streamdemo/src/main/resources/application.properties
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/streamdemo/src/main/resources/application.properties
@@ -0,0 +1 @@
+
diff --git a/streamdemo/src/main/resources/application.yml b/streamdemo/src/main/resources/application.yml
new file mode 100644
index 0000000..31435c0
--- /dev/null
+++ b/streamdemo/src/main/resources/application.yml
@@ -0,0 +1,21 @@
+spring:
+ redis:
+ database: 0
+ # Redis服务器地址 写你的ip
+ host: 192.168.56.10
+ # Redis服务器连接端口
+ port: 6379
+ # Redis服务器连接密码(默认为空)
+ password: 123456
+ # 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
+ jedis:
+ pool:
+ max-active: 200
+ # 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
+ max-wait: -1
+ # 连接池中的最大空闲连接
+ max-idle: 10
+ # 连接池中的最小空闲连接
+ min-idle: 0
+ # 连接超时时间(毫秒) 去链接redis服务端
+ timeout: 6000
\ No newline at end of file
diff --git a/streamdemo/src/test/java/com/example/demo/testscope/TestMain.java b/streamdemo/src/test/java/com/example/demo/testscope/TestMain.java
new file mode 100644
index 0000000..d068e13
--- /dev/null
+++ b/streamdemo/src/test/java/com/example/demo/testscope/TestMain.java
@@ -0,0 +1,172 @@
+package com.example.demo.testscope;
+
+import lombok.AllArgsConstructor;
+import lombok.Data;
+import org.junit.jupiter.api.Test;
+
+import java.util.*;
+import java.util.stream.Collectors;
+import java.util.stream.Stream;
+
+public class TestMain {
+
+//工作中常用的一些Stream流操作,多年实践总结
+
+ /**
+ * 演示map的用途:一对一转换
+ */
+ @Test
+ public void stringToIntMap() {
+ List ids = Arrays.asList("205", "105", "308", "469", "627", "193", "111");
+ // 使用流操作
+ List results = ids.stream()
+ .map(id -> {
+ User user = new User(Integer.valueOf(id));
+ return user;
+ })
+ .collect(Collectors.toList());
+ System.out.println(results);
+ }
+
+
+ /**
+ * 演示map的用途:一对多转换
+ */
+ @Test
+ public void stringToIntFlatmap() {
+ List sentences = Arrays.asList("hello world", "Jia Gou Wu Dao");
+ // 使用流操作
+ List results = sentences.stream()
+ .flatMap(sentence -> Arrays.stream(sentence.split(" ")))
+ .collect(Collectors.toList());
+ System.out.println(results);
+ }
+
+
+
+
+
+ /**
+ *filter、sorted、distinct、limit
+ */
+ @Test
+ public void testGetTargetUsers() {
+ List ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193");
+ // 使用流操作
+ List results = ids.stream()
+ .filter(s -> s.length() > 2)
+ .distinct()
+ .map(Integer::valueOf)
+ .sorted(Comparator.comparingInt(o -> o))
+ .limit(3)
+ .map(id -> new User(id))
+ .collect(Collectors.toList());
+ System.out.println(results);
+ }
+
+
+
+
+ /**
+ * 简单结果终止方法
+ */
+ @Test
+ public void testSimpleStopOptions() {
+ List ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193");
+ // 统计stream操作后剩余的元素个数
+ System.out.println(ids.stream().filter(s -> s.length() > 2).count());
+ // 判断是否有元素值等于205
+ System.out.println(ids.stream().filter(s -> s.length() > 2).anyMatch("205"::equals));
+ // findFirst操作
+ ids.stream().filter(s -> s.length() > 2)
+ .findFirst()
+ .ifPresent(s -> System.out.println("findFirst:" + s));
+ }
+
+
+
+
+
+ /**
+ * 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
+ */
+ @Test
+ public void testHandleStreamAfterClosed() {
+ List ids = Arrays.asList("205", "10", "308", "49", "627", "193", "111", "193");
+ Stream stream = ids.stream().filter(s -> s.length() > 2);
+ // 统计stream操作后剩余的元素个数
+ System.out.println(stream.count());
+ System.out.println("-----下面会报错-----");
+ // 判断是否有元素值等于205
+ try {
+ System.out.println(stream.anyMatch("205"::equals));
+ } catch (Exception e) {
+ e.printStackTrace();
+ }
+ System.out.println("-----上面会报错-----");
+ }
+
+
+ /**
+ * 生成集合
+ */
+ @Test
+ public void testCollectStopOptions() {
+ List ids = Arrays.asList(new User(17), new User(22), new User(23));
+ // collect成list
+ List collectList = ids.stream().filter(dept -> dept.getId() > 20)
+ .collect(Collectors.toList());
+ System.out.println("collectList:" + collectList);
+ // collect成Set
+ Set 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 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 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 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;
+
+}
\ No newline at end of file