Mybatis三种批量插入数据的方式
https://www.jb51.net/article/210089.htm
1. 循环插入
mapper.xml:
1
2
3
4
5
6
7
|
<? xml version = "1.0" encoding = "UTF-8" ?> <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"> < mapper namespace = "com.buhe.demo.mapper.StudentMapper" > < insert id = "insert" parameterType = "Student" > INSERT INTO tb_student (name, age, phone, address, class_id) VALUES (#{name},#{age},#{phone},#{address},#{classId}) </ insert > </ mapper > |
mapper接口:
1
2
3
|
public interface StudentMapper { int insert(Student student); } |
测试代码:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
|
@SpringBootTest class DemoApplicationTests { @Resource private StudentMapper studentMapper; @Test public void testInsert(){ //数据生成 List<Student> studentList = createData( 100 ); //循环插入 long start = System.currentTimeMillis(); studentList.stream().forEach(student -> studentMapper.insert(student)); System.out.println(System.currentTimeMillis() - start); } private List<Student> createData( int size){ List<Student> studentList = new ArrayList<>(); Student student; for ( int i = 0 ; i < size; i++){ student = new Student(); student.setName( "小王" + i); student.setAge( 18 ); student.setClassId( 1 ); student.setPhone( "1585xxxx669" ); student.setAddress( "未知" ); studentList.add(student); } return studentList; } } |
2. foreach标签
mapper.xml:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
|
<? xml version = "1.0" encoding = "UTF-8" ?> <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"> < mapper namespace = "com.buhe.demo.mapper.StudentMapper" > < insert id = "insert" parameterType = "Student" > INSERT INTO tb_student (name, age, phone, address, class_id) VALUES (#{name},#{age},#{phone},#{address},#{classId}) </ insert > < insert id = "insertBatch" > INSERT INTO tb_student (name, age, phone, address, class_id) VALUES < foreach collection = "list" separator = "," item = "item" > (#{item.name},#{item.age},#{item.phone},#{item.address},#{item.classId}) </ foreach > </ insert > </ mapper > |
mapper接口:
1
2
3
4
5
|
public interface StudentMapper { int insert(Student student); int insertBatch(List<Student> studentList); } |
测试代码:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
@SpringBootTest class DemoApplicationTests { @Resource private StudentMapper studentMapper; @Test public void testInsertByForeachTag(){ //数据生成 List<Student> studentList = createData( 100 ); //使用foreach标签,拼接SQL插入 long start = System.currentTimeMillis(); studentMapper.insertBatch(studentList); System.out.println(System.currentTimeMillis() - start); } private List<Student> createData( int size){ List<Student> studentList = new ArrayList<>(); Student student; for ( int i = 0 ; i < size; i++){ student = new Student(); student.setName( "小王" + i); student.setAge( 18 ); student.setClassId( 1 ); student.setPhone( "1585xxxx669" ); student.setAddress( "未知" ); studentList.add(student); } return studentList; } } |
3. 批处理
测试代码:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
|
@SpringBootTest class DemoApplicationTests { @Autowired private SqlSessionFactory sqlSessionFactory; @Test public void testInsertBatch(){ //数据生成 List<Student> studentList = createData( 100 ); //使用批处理 long start = System.currentTimeMillis(); SqlSession sqlSession = sqlSessionFactory.openSession(ExecutorType.BATCH, false ); StudentMapper studentMapperNew = sqlSession.getMapper(StudentMapper. class ); studentList.stream().forEach(student -> studentMapperNew.insert(student)); sqlSession.commit(); sqlSession.clearCache(); System.out.println(System.currentTimeMillis() - start); } private List<Student> createData( int size){ List<Student> studentList = new ArrayList<>(); Student student; for ( int i = 0 ; i < size; i++){ student = new Student(); student.setName( "小王" + i); student.setAge( 18 ); student.setClassId( 1 ); student.setPhone( "1585xxxx669" ); student.setAddress( "未知" ); studentList.add(student); } return studentList; } } |
三种方式的对比
MySQL服务器版本:5.6.4
其他依赖版本如下:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
|
<? 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 > < parent > < groupId >org.springframework.boot</ groupId > < artifactId >spring-boot-starter-parent</ artifactId > < version >2.4.4</ version > < relativePath /> <!-- lookup parent from repository --> </ parent > < groupId >com.buhe</ 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 > </ properties > < dependencies > < dependency > < groupId >org.springframework.boot</ groupId > < artifactId >spring-boot-starter-web</ artifactId > </ dependency > < dependency > < groupId >org.springframework.boot</ groupId > < artifactId >spring-boot-starter-test</ artifactId > < scope >test</ scope > </ dependency > < dependency > < groupId >mysql</ groupId > < artifactId >mysql-connector-java</ artifactId > < version >5.1.41</ version > </ dependency > < dependency > < groupId >org.mybatis.spring.boot</ groupId > < artifactId >mybatis-spring-boot-starter</ artifactId > < version >1.3.1</ version > </ dependency > </ dependencies > < build > < plugins > < plugin > < groupId >org.springframework.boot</ groupId > < artifactId >spring-boot-maven-plugin</ artifactId > </ plugin > </ plugins > < resources > < resource > < directory >src/main/java</ directory > < includes > < include >**/*.xml</ include > </ includes > </ resource > </ resources > </ build > </ project > |
三种插入方式在不同数据量下的表现,测试结果:
插入方式 | 10条 | 100条 | 500条 | 1000条 |
---|---|---|---|---|
循环插入 | 496ms | 3330ms | 15584ms | 33755ms |
foreach标签 | 268ms | 366ms | 392ms | 684ms |
批处理 | 222ms | 244ms | 364ms | 426ms |
三种方式中,批处理的方式效率是最高的,尤其是在数据量大的情况下尤为明显。
其次是foreach标签,foreach标签是通过拼接SQL语句的方式完成批量操作的。但是当拼接的SQL过多,导致SQL大小超过了MySQL服务器中max_allowed_packet变量的值时,会导致操作失败,抛出PacketTooBigException异常。
最后是循环插入的方式,这种方式在数据量小的时候可以使用,在数据量大的情况下效率要低很多。
___________________________________________________________
1. isnull(expr)
如果expr为null,则返回1,否则返回0
SELECT ISNULL(null) from dual; --结果为1
SELECT isnull(1/0) from dual; --结果为1
SELECT isnull(1/null) from dual; --结果为1
SELECT ISNULL(5) from dual; --结果为0
SELECT ISNULL('a') from dual; --结果为0
SELECT ISNULL(5+5) from dual; --结果为0
2. ifnull(expr1, expr2)
根isnull类似,expr1不为null的情况下,返回expr1,返回expr2
SELECT IFNULL(1,2) from dual; --1
SELECT IFNULL(null,2) from dual; --2
SELECT IFNULL(1/0,'can not be null') from dual; --'can not be null'
3. nullif(expr1, expr2)
nullif和ifnull完全不同,它表示如果两个表达式相同,则返回null,否则返回expr1的值
个人感觉应该叫null if equals
SELECT NULLIF(1,3) from dual; --1
SELECT NULLIF(3,3) from dual; --null
SELECT NULLIF(1+2,3) from dual; --null
4. coalesce(expr1, expr2,… exprN)
发音是core or less,英文的意思是联合/合并,在mysql中的用途是返回第一个不是null的值
SELECT COALESCE(null,1/0,2) from dual; --2
SELECT COALESCE(null,1/0,2,3) from dual; --2
只有两个参数的情况下,相当于ifnull
SELECT IFNULL(null,2) from dual; --2
SELECT COALESCE(null,2) from dual; --2
————————————————