4、SpringBoot連線資料庫引入druid 1、springboot工程新建（單模組）
阿新 • • 發佈：2022-03-23
以前以為druid是用來連線資料庫的，其實這樣理解不太對，連線資料庫還是驅動，druid起到一個連線池的作用，監控管理連線資料庫的狀態之類的。
1、建立springboot專案
具體步驟參見之前的專案建立文件 1、springboot工程新建（單模組）
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> <!-- 整合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 訪問埠
server.port=8080
# 資料庫設定
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引數調優（可選）
# 初始化大小，最小，最大
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
# 配置獲取連線等待超時的時間
spring.datasource.maxWait=60000
# 配置間隔多久才進行一次檢測，檢測需要關閉的空閒連線，單位是毫秒
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一個連線在池中最小生存的時間，單位是毫秒
spring.datasource.minEvictableIdleTimeMillis=300000
# 測試連線
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 開啟PSCache，並且指定每個連線上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，開啟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、資料庫準備
oracle裡建立表及初始化表 注：oralce中建立的使用者為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不支援druid配置，引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配置檔案：
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 //宣告其為Bean例項 @Primary //在同樣的DataSource中，首先使用被標註的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查詢資料庫 String mobile = (String) jdbcTemplate.queryForObject( sql, new Object[]{1}, String.class); System.out.println("haha"); return "Hello " + mobile; } }
6、啟動專案訪問專案
到這看著和前一個專案沒撒區別，繼續往下看
7、druid的監控頁面
瀏覽器輸入http://localhost:8080/druid
就會發現連線池的監控頁面（要先執行一下步驟5，要不監控頁面沒有內容，因為還沒有連線資料自然就沒有連線的資訊了）