批量插入数据,常见的使用mybatis foreach 插入的方式,原始的方式和批处理
1,常见的mybatis foreach
xml
<insert id="insertBatch" parameterType="java.util.List">
insert into CODEINFO (CODE_TYPE, CODE, MEAN, STATE, SORT_ID)
values
<foreach collection ="records" item="item" separator =",">
(#{item.codeType}, #{item.code},
#{item.remark}, #{item.state}, #{item.sortId})
</foreach >
</insert>
mapper:
int insertBatch(@Param("records") List<CodeInfo> records);
对于数据量不是很大的,基本够用。如果同步数据特别慢,再考虑其它的方式。或者晚上凌晨再同步数据。
2,原始的方式
批量插入
public void insertBatach(){
Connection conn=null;
PreparedStatement ps=null;
try {
long start = System.currentTimeMillis();
conn = JDBCUtils.getConnection();
conn.setAutoCommit(false);
String sql="INSERT INTO CODEINFO (CODE_TYPE, CODE, MEAN,STATE, SORT_ID) VALUES (?, ?, ?, ?, ?)";
ps = conn.prepareStatement(sql);
for(int i=1;i<=20000;i++){
ps.setObject(1, "TEST_INSERT_BATCH");
ps.setObject(2, "0"+i);
ps.setObject(3, "name_"+i);
ps.setObject(4, "0SA");
ps.setObject(5, i);
//1.sql
ps.addBatch();
if(i%500==0){
//2.执行batch
ps.executeBatch();
//3.清空batch
ps.clearBatch();
}
}
//提交数据
conn.commit();
long end = System.currentTimeMillis();
System.out.println("批量插入花费的时间为:"+(end-start));
} catch (Exception e) {
e.printStackTrace();
} finally{
JDBCUtils.close(conn, ps);
}
}
数据库连接:
import java.io.IOException;
import java.io.InputStream;
import java.sql.*;
import java.util.Properties;
public class JDBCUtils {
private static String url;
private static String user;
private static String password;
private static Connection conn = null;
// 静态代码块
static{
/* 将外部properties文件放在src文件夹中,用类的加载器读文件,格式:
* 当前类名.class.getClassLoader().getResourceAsStream("外部文件名");*/
InputStream in = JDBCUtils.class.getClassLoader().getResourceAsStream("sql.properties");
Properties p=new Properties();
try {
p.load(in);
} catch (IOException e) {
e.printStackTrace();
}
// 读文件给变量赋值
String driver = p.getProperty("driver");
url = p.getProperty("url");
user = p.getProperty("user");
password = p.getProperty("password");
try {
Class.forName(driver);
} catch (ClassNotFoundException e) {
e.printStackTrace();
}
}
// 构造获得数据库链接方法
public static Connection getConnection() {
try {
conn = DriverManager.getConnection(url, user, password);
} catch (SQLException e) {
e.printStackTrace();
}
return conn;
}
// 构造关闭流的方法
public static void close(Connection conn,Statement stat) {
if (stat != null) {
try {
stat.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
if (conn != null) {
try {
conn.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
}
// 重载关闭流的方法
public static void close(Connection conn,Statement stat, ResultSet rs) {
if (rs != null) {
try {
rs.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
if (stat != null) {
try {
stat.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
if (conn != null) {
try {
conn.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
}
}
原始的方法写起来麻烦些。
3,批处理
MybatisGeneralBatchUtils
import org.apache.ibatis.session.ExecutorType;
import org.apache.ibatis.session.SqlSession;
import org.apache.ibatis.session.SqlSessionFactory;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
import org.springframework.transaction.support.TransactionSynchronizationManager;
import java.util.List;
import java.util.function.BiFunction;
@Component
public class MybatisGeneralBatchUtils {
private static final Logger logger = LoggerFactory.getLogger(MybatisGeneralBatchUtils.class);
/**
* 每次处理1000条
*/
private static final int BATCH_SIZE = 1000;
/**
* 批量处理修改或者插入
* 变成一条一条的数据,然后最后一起执行。并不是 insertBatch那种方式
* @param data 需要被处理的数据
* @param mapperClass Mybatis的Mapper类
* @param function 自定义处理逻辑
* @return int 影响的总行数
*/
public <T, U, R> int batchUpdateOrInsert(List<T> data, Class<U> mapperClass, BiFunction<T, U, R> function) {
int i = 1;
SqlSessionFactory sqlSessionFactory = (SqlSessionFactory) SpringUtil.getBean("sqlSessionFactory");
SqlSession batchSqlSession = sqlSessionFactory.openSession(ExecutorType.BATCH);
try {
U mapper = batchSqlSession.getMapper(mapperClass);
int size = data.size();
for (T element : data) {
function.apply(element, mapper);
if ((i % BATCH_SIZE == 0) || i == size) {
batchSqlSession.flushStatements();
}
i++;
}
// 非事务环境下强制commit,事务情况下该commit相当于无效
batchSqlSession.commit(!TransactionSynchronizationManager.isSynchronizationActive());
} catch (Exception e) {
batchSqlSession.rollback();
logger.error("batchUpdateOrInsert", e);
} finally {
batchSqlSession.close();
}
return i - 1;
}
}
SpringUtil
import org.springframework.beans.BeansException;
import org.springframework.context.ApplicationContext;
import org.springframework.context.ApplicationContextAware;
import org.springframework.stereotype.Component;
@Component
public class SpringUtil implements ApplicationContextAware {
private static ApplicationContext applicationContext;
public void setApplicationContext(ApplicationContext applicationContext) throws BeansException {
SpringUtil.applicationContext = applicationContext;
}
public static Object getBean(String name) {
return applicationContext.getBean(name);
}
public static <T> T getBean(Class<T> clazz) {
return applicationContext.getBean(clazz);
}
}
调用:
mapper:
int insertSelective(CodeInfo codeInfo);
xml:
<insert id="insertSelective" parameterType="com.web.dict.entity.CodeInfo">
insert into CODEINFO
<trim prefix="(" suffix=")" suffixOverrides=",">
<if test="codeType != null">
CODE_TYPE,
</if>
<if test="code != null">
CODE,
</if>
<if test="mean != null">
MEAN,
</if>
<if test="state != null">
STATE,
</if>
<if test="sortId != null">
SORT_ID,
</if>
</trim>
<trim prefix="values (" suffix=")" suffixOverrides=",">
<if test="codeType != null">
#{codeType,jdbcType=VARCHAR},
</if>
<if test="code != null">
#{code,jdbcType=VARCHAR},
</if>
<if test="mean != null">
#{mean,jdbcType=VARCHAR},
</if>
<if test="state != null">
#{state,jdbcType=VARCHAR},
</if>
<if test="sortId != null">
#{sortId,jdbcType=VARCHAR},
</if>
</trim>
</insert>
service:
@Resource
private MybatisGeneralBatchUtils mybatisGeneralBatchUtils;
public int batchInsertData(List<CodeInfo> codeInfos){
return mybatisGeneralBatchUtils.batchUpdateOrInsert(codeInfos, CodeInfoMapper.class,
(item, codeInfoMapper) -> codeInfoMapper.insertSelective(item));
}
这个方法看起来比较通用,但是我自己测的话,速度反而比较慢。可能是因为模拟的字段和数据都比较少;后面有遇到数据量大的,再进行一个比对。
官网推荐的方法:
MyBatis文档中写批量插入的时候,是推荐使用另外一种方法 中 Batch Insert Support
标题里的内容文章来源:https://www.toymoban.com/news/detail-515818.html
try(SqlSession session = sqlSessionFactory.openSession(ExecutorType.BATCH)) {
SimpleTableMapper mapper = session.getMapper(SimpleTableMapper.class);
List<SimpleTableRecord> records = getRecordsToInsert(); // not shown
BatchInsert<SimpleTableRecord> batchInsert = insert(records)
.into(simpleTable)
.map(id).toProperty("id")
.map(firstName).toProperty("firstName")
.map(lastName).toProperty("lastName")
.map(birthDate).toProperty("birthDate")
.map(employed).toProperty("employed")
.map(occupation).toProperty("occupation")
.build()
.render(RenderingStrategies.MYBATIS3);
batchInsert.insertStatements().forEach(mapper::insert);
session.commit();
}
总结:
如果数据量不大,能第一种就够了。如果数据内容多,字段又多,试试其它的方式,看下效率是否有更快。 同步数据,还是适合晚上的时候,用定时器去跑。文章来源地址https://www.toymoban.com/news/detail-515818.html
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