一、spring JDBC
Spring框架對JDBC的簡單封裝。提供了一個JDBCTemplate對象簡化JDBC的開發。
步驟:
1、 添加依賴
2、創建JdbcTemplate對象。依賴於數據源DataSource
* JdbcTemplate template = new JdbcTemplate(ds);
3、調用JdbcTemplate的方法來完成CRUD的操作
* update():執行DML語句。增、刪、改語句。
* queryForMap():查詢結果將結果集封裝為map集合,將列名作為key,將值作為value 將這條記錄封裝為一個map集合。
注意:這個方法查詢的結果集長度只能是1
* queryForList():查詢結果將結果集封裝為list集合。
注意:將每一條記錄封裝為一個Map集合,再將Map集合裝載到List集合中
* query():查詢結果,將結果封裝為JavaBean對象。
query的參數:RowMapper
一般我們使用BeanPropertyRowMapper實現類。可以完成數據到JavaBean的自動封裝
new BeanPropertyRowMapper<類型>(類型.class)
* queryForObject:查詢結果,將結果封裝為對象。
一般用於聚合函數的查詢
二、Spring的JDBCTemplate入門
* 需求:
1)、修改1號數據的 salary 為 10000
2)、添加一條記錄
3)、刪除剛才添加的記錄
4)、查詢id為1的記錄,將其封裝為Map集合
5)、查詢所有記錄,將其封裝為List
6)、查詢所有記錄,將其封裝為Emp對象的List集合
7)、查詢總記錄數
1、創建maven的Java工程
補齊目錄后如下所示
2、添加依賴
<dependencies> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-jdbc</artifactId> <version>4.2.5.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-tx</artifactId> <version>4.2.5.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-core</artifactId> <version>4.2.5.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-beans</artifactId> <version>4.2.5.RELEASE</version> </dependency> <!-- 連接到mysql --> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>8.0.22</version> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.2.1</version> </dependency> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <version>1.18.8</version> </dependency> </dependencies>
3、在resources目錄下新建druid.properties文件
driverClassName=com.mysql.cj.jdbc.Driver url=jdbc:mysql://localhost:3306/jdbcTemplate?useSSL=false&serverTimezone=UTC username=root password=123456 initialSize=5 maxActive=10 maxWait=3000
4、創建emp表
CREATE TABLE `emp` ( `id` int(0) NOT NULL AUTO_INCREMENT, `ename` varchar(20) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `job_id` int(0) NULL DEFAULT NULL, `mgr` int(0) NULL DEFAULT NULL, `joindate` datetime(0) NULL DEFAULT NULL, `salary` double(10, 2) NULL DEFAULT NULL, `bonus` double(10, 2) NULL DEFAULT NULL, `dept_id` int(0) NULL DEFAULT NULL, PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
5、添加Druid連接池的工具類來獲取連接
import com.alibaba.druid.pool.DruidDataSourceFactory; import javax.sql.DataSource; import java.io.IOException; import java.sql.Connection; import java.sql.ResultSet; import java.sql.SQLException; import java.sql.Statement; import java.util.Properties; /** * Druid連接池的工具類 */ public class JDBCUtils { //1.定義成員變量 DataSource private static DataSource ds ; static{ try { //1.加載配置文件 Properties pro = new Properties(); pro.load(JDBCUtils.class.getClassLoader().getResourceAsStream("druid.properties")); //2.獲取DataSource ds = DruidDataSourceFactory.createDataSource(pro); } catch (IOException e) { e.printStackTrace(); } catch (Exception e) { e.printStackTrace(); } } /** * 獲取連接 */ public static Connection getConnection() throws SQLException { return ds.getConnection(); } /** * 釋放資源 */ public static void close(Statement stmt,Connection conn){ /* if(stmt != null){ try { stmt.close(); } catch (SQLException e) { e.printStackTrace(); } } if(conn != null){ try { conn.close();//歸還連接 } catch (SQLException e) { e.printStackTrace(); } }*/ close(null,stmt,conn); } public static void close(ResultSet rs , Statement stmt, Connection conn){ if(rs != null){ try { rs.close(); } catch (SQLException e) { e.printStackTrace(); } } if(stmt != null){ try { stmt.close(); } catch (SQLException e) { e.printStackTrace(); } } if(conn != null){ try { conn.close();//歸還連接 } catch (SQLException e) { e.printStackTrace(); } } } /** * 獲取連接池方法 */ public static DataSource getDataSource(){ return ds; } }
測試能否獲取連接
public class DruidDemo { public static void main(String[] args) throws Exception { //1.導入jar包 //2.定義配置文件 //3.加載配置文件 Properties pro = new Properties(); InputStream is = DruidDemo.class.getClassLoader().getResourceAsStream("druid.properties"); pro.load(is); //4.獲取連接池對象 DataSource ds = DruidDataSourceFactory.createDataSource(pro); //5.獲取連接 Connection conn = ds.getConnection(); System.out.println(conn); } }
結果如下:
com.mysql.cj.jdbc.ConnectionImpl@77caeb3e
6、創建實體類
@Data @Accessors(chain = true) public class Emp { private Integer id; private String ename; private Integer job_id; private Integer mgr; private Date joindate; private Double salary; private Double bonus; private Integer dept_id; }
7、新建測試類進行測試
1)、添加
public class JdbcTemplateDemo2 { //1. 獲取JDBCTemplate對象 private JdbcTemplate template = new JdbcTemplate(JDBCUtils.getDataSource()); /** * 1. 添加一條記錄 */ @Test public void test2(){ String sql = "insert into emp(id,ename,dept_id) values(?,?,?)"; int count = template.update(sql, 1015, "郭靖", 10); System.out.println(count); } }
結果如下:
2)、修改
public class JdbcTemplateDemo2 { //1. 獲取JDBCTemplate對象 private JdbcTemplate template = new JdbcTemplate(JDBCUtils.getDataSource()); /** * 1. 修改1015號數據的 salary 為 10000 */ @Test public void test1(){ //2. 定義sql String sql = "update emp set salary = 10000 where id = 1015"; //3. 執行sql int count = template.update(sql); System.out.println(count); } }
結果如下:
3)、刪除
public class JdbcTemplateDemo2 { //1. 獲取JDBCTemplate對象 private JdbcTemplate template = new JdbcTemplate(JDBCUtils.getDataSource());/** * 3.刪除剛才添加的記錄 */ @Test public void test3(){ String sql = "delete from emp where id = ?"; int count = template.update(sql, 1015); System.out.println(count); } }
4)、查詢
public class JdbcTemplateDemo2 { //1. 獲取JDBCTemplate對象 private JdbcTemplate template = new JdbcTemplate(JDBCUtils.getDataSource()); /** * 4.查詢id為1001的記錄,將其封裝為Map集合 * 注意:這個方法查詢的結果集長度只能是1 */ @Test public void test4(){ String sql = "select * from emp where id = ?"; Map<String, Object> map = template.queryForMap(sql, 1001); System.out.println(map); //{id=1001, ename=孫悟空, job_id=4, mgr=1004, joindate=2000-12-17, salary=10000.00, bonus=null, dept_id=20} } }
結果如下:
{id=1001, ename=孫悟空, job_id=4, mgr=1004, joindate=2021-12-17 08:00:00.0, salary=10000.0, bonus=null, dept_id=20}
5)、查詢所有記錄,將其封裝成List
public class JdbcTemplateDemo2 { //1. 獲取JDBCTemplate對象 private JdbcTemplate template = new JdbcTemplate(JDBCUtils.getDataSource()); /** * 5. 查詢所有記錄,將其封裝為List */ @Test public void test5(){ String sql = "select * from emp"; List<Map<String, Object>> list = template.queryForList(sql); for (Map<String, Object> stringObjectMap : list) { System.out.println(stringObjectMap); } } }
結果:
{id=1001, ename=孫悟空, job_id=4, mgr=1004, joindate=2021-12-17 08:00:00.0, salary=10000.0, bonus=null, dept_id=20} {id=1015, ename=郭靖, job_id=null, mgr=null, joindate=null, salary=10000.0, bonus=null, dept_id=10}
6)、查詢所有記錄,將其封裝為Emp對象的List集合
public class JdbcTemplateDemo2 { //1. 獲取JDBCTemplate對象 private JdbcTemplate template = new JdbcTemplate(JDBCUtils.getDataSource()); /** * 6. 查詢所有記錄,將其封裝為Emp對象的List集合 */ @Test public void test6(){ String sql = "select * from emp"; List<Emp> list = template.query(sql, new RowMapper<Emp>() { @Override public Emp mapRow(ResultSet rs, int i) throws SQLException { Emp emp = new Emp(); int id = rs.getInt("id"); String ename = rs.getString("ename"); int job_id = rs.getInt("job_id"); int mgr = rs.getInt("mgr"); Date joindate = rs.getDate("joindate"); double salary = rs.getDouble("salary"); double bonus = rs.getDouble("bonus"); int dept_id = rs.getInt("dept_id"); emp.setId(id); emp.setEname(ename); emp.setJob_id(job_id); emp.setMgr(mgr); emp.setJoindate(joindate); emp.setSalary(salary); emp.setBonus(bonus); emp.setDept_id(dept_id); return emp; } }); for (Emp emp : list) { System.out.println(emp); } } }
結果如下:
Emp(id=1001, ename=孫悟空, job_id=4, mgr=1004, joindate=2021-12-17, salary=10000.0, bonus=0.0, dept_id=20) Emp(id=1015, ename=郭靖, job_id=0, mgr=0, joindate=null, salary=10000.0, bonus=0.0, dept_id=10)
一般我們使用BeanPropertyRowMapper實現類。可以完成數據到JavaBean的自動封裝
public class JdbcTemplateDemo2 { //1. 獲取JDBCTemplate對象 private JdbcTemplate template = new JdbcTemplate(JDBCUtils.getDataSource()); @Test public void test6_2(){ String sql = "select * from emp"; List<Emp> list = template.query(sql, new BeanPropertyRowMapper<Emp>(Emp.class)); for (Emp emp : list) { System.out.println(emp); } } }
三、SpringBoot整合JDBCTemplate
1、創建一個maven的java工程
2、添加依賴
<parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.1.0.RELEASE</version> </parent> <properties> <maven.compiler.source>8</maven.compiler.source> <maven.compiler.target>8</maven.compiler.target> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jdbc</artifactId> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <scope>runtime</scope> </dependency> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <version>1.18.8</version> </dependency> <!--測試的起步依賴--> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> </dependencies>
3、在resources目錄下添加application.properties
spring.datasource.url=jdbc:mysql://localhost:3306/jdbcTemplate?useSSL=false&serverTimezone=UTC spring.datasource.username=root spring.datasource.password=123456 spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
4、創建emp表
CREATE TABLE `emp` ( `id` int(0) NOT NULL AUTO_INCREMENT, `ename` varchar(20) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `job_id` int(0) NULL DEFAULT NULL, `mgr` int(0) NULL DEFAULT NULL, `joindate` datetime(0) NULL DEFAULT NULL, `salary` double(10, 2) NULL DEFAULT NULL, `bonus` double(10, 2) NULL DEFAULT NULL, `dept_id` int(0) NULL DEFAULT NULL, PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
5、創建Emp類
@Data @Accessors(chain = true) public class Emp { private Integer id; private String ename; private Integer job_id; private Integer mgr; private Date joindate; private Double salary; private Double bonus; private Integer dept_id; }
6、創建啟動類
@SpringBootApplication public class MySpringBootApplication { public static void main(String[] args) { SpringApplication.run(MySpringBootApplication.class); } }
7、創建啟動類進行測試
注意:JdbcTemplate直接注入即可
@RunWith(SpringRunner.class) @SpringBootTest(classes = MySpringBootApplication.class) public class JdbcTemplateTest { @Resource private JdbcTemplate template; /** * 1. 添加一條記錄 */ @Test public void test2(){ String sql = "insert into emp(id,ename,dept_id) values(?,?,?)"; int count = template.update(sql, 1015, "郭靖", 10); System.out.println(count); } /** * 1. 修改1015號數據的 salary 為 10000 */ @Test public void test1(){ //2. 定義sql String sql = "update emp set salary = 10000 where id = 1015"; //3. 執行sql int count = template.update(sql); System.out.println(count); } /** * 3.刪除剛才添加的記錄 */ @Test public void test3(){ String sql = "delete from emp where id = ?"; int count = template.update(sql, 1015); System.out.println(count); } /** * 4.查詢id為1001的記錄,將其封裝為Map集合 * 注意:這個方法查詢的結果集長度只能是1 */ @Test public void test4(){ String sql = "select * from emp where id = ?"; Map<String, Object> map = template.queryForMap(sql, 1001); System.out.println(map); //{id=1001, ename=孫悟空, job_id=4, mgr=1004, joindate=2000-12-17, salary=10000.00, bonus=null, dept_id=20} } /** * 5. 查詢所有記錄,將其封裝為List */ @Test public void test5(){ String sql = "select * from emp"; List<Map<String, Object>> list = template.queryForList(sql); for (Map<String, Object> stringObjectMap : list) { System.out.println(stringObjectMap); } } /** * 6. 查詢所有記錄,將其封裝為Emp對象的List集合 */ @Test public void test6(){ String sql = "select * from emp"; List<Emp> list = template.query(sql, new RowMapper<Emp>() { @Override public Emp mapRow(ResultSet rs, int i) throws SQLException { Emp emp = new Emp(); int id = rs.getInt("id"); String ename = rs.getString("ename"); int job_id = rs.getInt("job_id"); int mgr = rs.getInt("mgr"); Date joindate = rs.getDate("joindate"); double salary = rs.getDouble("salary"); double bonus = rs.getDouble("bonus"); int dept_id = rs.getInt("dept_id"); emp.setId(id); emp.setEname(ename); emp.setJob_id(job_id); emp.setMgr(mgr); emp.setJoindate(joindate); emp.setSalary(salary); emp.setBonus(bonus); emp.setDept_id(dept_id); return emp; } }); for (Emp emp : list) { System.out.println(emp); } } @Test public void test6_2(){ String sql = "select * from emp"; List<Emp> list = template.query(sql, new BeanPropertyRowMapper<Emp>(Emp.class)); for (Emp emp : list) { System.out.println(emp); } } }
最后項目的目錄如下:
我們只需要在pom.xml中加入數據庫依賴,再到application.properties中配置連接信息,不需要像Spring應用中創建JdbcTemplate的Bean,就可以直接注入使用。
在test里做的測試,test包結構要保持與項目包結構一致,springboot才能自動掃描到包。