4、SpringBoot連接數據庫引入druid

系列導航

springBoot項目打jar包

1、springboot工程新建（單模塊）

2、springboot創建多模塊工程

3、springboot連接數據庫

4、SpringBoot連接數據庫引入druid

5、SpringBoot連接數據庫引入mybatis

6、SpringBoot-mybatis分頁實現pagehelper

7、SpringBoot-mybatis-plus引入

8、SpringBoot 事務

9、SpringBoot-mybatis-druid多源數據多源數據

10、SpringBoot-mybatis-plus-druid多源數據

11、SpringBoot-mybatis-plus-druid多源數據事務

12、SpringBoot-mybatis-plus-ehcache

13、SpringBoot-配置文件里密碼加密

14、SpringBoot-easyexcel導出excle

完結

以前以為druid是用來連接數據庫的，其實這樣理解不太對，連接數據庫還是驅動，druid起到一個連接池的作用，監控管理連接數據庫的狀態之類的。

1、創建springboot項目

     具體步驟參見之前的項目創建文檔 1、springboot工程新建（單模塊）

2、pom.xml

 

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>com.example</groupId>
    <artifactId>demo</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>demo</name>
    <description>Demo project for Spring Boot</description>

    <properties>
        <java.version>1.8</java.version>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
        <spring-boot.version>2.1.17.RELEASE</spring-boot.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-jdbc</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>com.oracle</groupId>
            <artifactId>ojdbc6</artifactId>
            <version>11.2.0.3</version>
        </dependency>

        <!-- 集成druid -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid-spring-boot-starter</artifactId>
            <version>1.1.10</version>
        </dependency>



        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
            <exclusions>
                <exclusion>
                    <groupId>org.junit.vintage</groupId>
                    <artifactId>junit-vintage-engine</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
    </dependencies>

    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-dependencies</artifactId>
                <version>${spring-boot.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
        </dependencies>
    </dependencyManagement>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.8.1</version>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                    <encoding>UTF-8</encoding>
                </configuration>
            </plugin>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <version>2.1.17.RELEASE</version>
                <configuration>
                    <mainClass>com.example.demo.DemoApplication</mainClass>
                </configuration>
                <executions>
                    <execution>
                        <id>repackage</id>
                        <goals>
                            <goal>repackage</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>

</project>

 

3、application.properties配置

 增加druid的配置

# 應用名稱
spring.application.name=demo
# 應用服務 WEB 訪問端口
server.port=8080

# 數據庫設置
spring.datasource.driverClassName=oracle.jdbc.OracleDriver
spring.datasource.url=jdbc:oracle:thin:@192.168.0.100:1521:orcl
spring.datasource.username=zy
spring.datasource.password=1

# druid配置
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource

# druid參數調優（可選）
# 初始化大小，最小，最大
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
# 配置獲取連接等待超時的時間
spring.datasource.maxWait=60000
# 配置間隔多久才進行一次檢測，檢測需要關閉的空閑連接，單位是毫秒
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一個連接在池中最小生存的時間，單位是毫秒
spring.datasource.minEvictableIdleTimeMillis=300000
# 測試連接
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 打開PSCache，並且指定每個連接上PSCache的大小
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
# 配置監控統計攔截的filters
spring.datasource.filters=stat
# asyncInit是1.1.4中新增加的配置，如果有initialSize數量較多時，打開會加快應用啟動時間
spring.datasource.asyncInit=true

注：必填項只有

# druid配置

spring.datasource.type=com.alibaba.druid.pool.DruidDataSource


4、數據庫准備

oracle里創建表及初始化表
注：oralce中創建的用戶為zy，密碼為1
CREATE TABLE TEST_BLOCK_T   
(
  BLOCK_ID         VARCHAR2(10 BYTE) PRIMARY   KEY,    --編碼
  BLOCK_NAME       VARCHAR2(200 BYTE)                  --資源名稱 
); 
 Insert into TEST_BLOCK_T (BLOCK_ID, BLOCK_NAME) Values ('1', 'java');
COMMIT;

 

5、DruidConfig.java配置

由於現在Spring Boot不支持druid配置，參數調優部分的配置不會直接生效，需要配置datasource bean，從application.properties中讀取值來裝配datasource bean，新增DruidConfig.java配置文件：

 

 

 

package com.example.demo.config;

import java.sql.SQLException;

import javax.sql.DataSource;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

import com.alibaba.druid.pool.DruidDataSource;

@Configuration
public class DruidConfig {
    private Logger logger = LoggerFactory.getLogger(DruidConfig.class);

    @Value("${spring.datasource.url}")
    private String dbUrl;

    @Value("${spring.datasource.username}")
    private String username;

    @Value("${spring.datasource.password}")
    private String password;

    @Value("${spring.datasource.driver-class-name}")
    private String driverClassName;

    @Value("${spring.datasource.initial-size}")
    private int initialSize;

    @Value("${spring.datasource.min-idle}")
    private int minIdle;

    @Value("${spring.datasource.max-active}")
    private int maxActive;

    @Value("${spring.datasource.max-wait}")
    private int maxWait;

    @Value("${spring.datasource.time-between-eviction-runs-millis}")
    private int timeBetweenEvictionRunsMillis;

    @Value("${spring.datasource.min-evictable-idle-time-millis}")
    private int minEvictableIdleTimeMillis;


    @Value("${spring.datasource.test-while-idle}")
    private boolean testWhileIdle;

    @Value("${spring.datasource.test-on-borrow}")
    private boolean testOnBorrow;

    @Value("${spring.datasource.test-on-return}")
    private boolean testOnReturn;

    @Value("${spring.datasource.pool-prepared-statements}")
    private boolean poolPreparedStatements;

    @Value("${spring.datasource.max-pool-prepared-statement-per-connection-size}")
    private int maxPoolPreparedStatementPerConnectionSize;

    @Value("${spring.datasource.filters}")
    private String filters;



    @Bean     //聲明其為Bean實例
    @Primary  //在同樣的DataSource中，首先使用被標注的DataSource
    public DataSource dataSource(){
        DruidDataSource datasource = new DruidDataSource();

        datasource.setUrl(this.dbUrl);
        datasource.setUsername(username);
        datasource.setPassword(password);
        datasource.setDriverClassName(driverClassName);

        //configuration
        datasource.setInitialSize(initialSize);
        datasource.setMinIdle(minIdle);
        datasource.setMaxActive(maxActive);
        datasource.setMaxWait(maxWait);
        datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
        datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        datasource.setTestWhileIdle(testWhileIdle);
        datasource.setTestOnBorrow(testOnBorrow);
        datasource.setTestOnReturn(testOnReturn);
        datasource.setPoolPreparedStatements(poolPreparedStatements);
        datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
        try {
            datasource.setFilters(filters);
        } catch (SQLException e) {
            logger.error("druid configuration initialization filter", e);
        }

        return datasource;
    }
}

 

package com.example.demo.controller;


import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.web.bind.annotation.*;

@RestController
@RequestMapping("/hello")
public class HelloController {

    @Autowired
    JdbcTemplate jdbcTemplate;

    @GetMapping("/list")
    @ResponseBody
    public String index() {

        String sql = "SELECT BLOCK_NAME FROM XY_DIC_BLOCK_T WHERE BLOCK_ID = ?";

        // 通過jdbcTemplate查詢數據庫
        String mobile = (String) jdbcTemplate.queryForObject(
                sql, new Object[]{1}, String.class);
        System.out.println("haha");
        return "Hello " + mobile;
    }
}

6、啟動項目訪問項目

到這看着和前一個項目沒撒區別，繼續往下看

 

7、druid的監控頁面

瀏覽器輸入http://localhost:8080/druid

就會發現連接池的監控頁面（要先執行一下步驟5，要不監控頁面沒有內容，因為還沒有連接數據自然就沒有連接的信息了）