Mybatis包分页查询java公共类

分页----对于数据量非常大的查询中。是不可缺少的。

mybatis底层的分页sql语句因为须要我们自己去手动写。而实现分页显示的时候我们须要依据分页查询条件查询符合条件的总记录数和记录的具体情况。因此,若是不去实现封装一下的话,我们须要写两条SQL语句去实现它。一次用于查询记录数目。一次用于查询分页显示的具体记录。

当项目中碰到非常多须要分页的时候,我们便对于每个Mapper.xml文件都须要去写两条SQL语句。

极其麻烦。代码重用----必须重用。所以,一个公共方法的分页需求应运而生。

直接上分页公共代码,事实上现的原理是使用了拦截器的拦截作用。拦截一类分页查询的请求。我们依据传进来的參数是否是须要interceptor()方法中拦截的參数,是的话则拦截,并运行对应的SQL追加,否则,不进行追加。直接放行。视作普通查询。

须要在Mybatis的配置文件里配置载入server的时候载入该公共类:mybatis-config.xml

<?xml version="1.0" encoding="UTF-8"?>

<!DOCTYPE configuration

PUBLIC "-//mybatis.org//DTD Config 3.0//EN"

"http://mybatis.org/dtd/mybatis-3-config.dtd">

<configuration>

<properties></properties>

<plugins>

<plugin interceptor="com.iboxpay.clear.filter.PaginationInterceptor"></plugin>

</plugins>

</configuration>

import java.sql.Connection;

import java.sql.PreparedStatement;

import java.sql.ResultSet;

import java.sql.SQLException;

import java.util.Properties;

import org.apache.ibatis.executor.parameter.ParameterHandler;

import org.apache.ibatis.executor.statement.StatementHandler;

import org.apache.ibatis.mapping.BoundSql;

import org.apache.ibatis.mapping.MappedStatement;

import org.apache.ibatis.plugin.Interceptor;

import org.apache.ibatis.plugin.Intercepts;

import org.apache.ibatis.plugin.Invocation;

import org.apache.ibatis.plugin.Plugin;

import org.apache.ibatis.plugin.Signature;

import org.apache.ibatis.reflection.MetaObject;

import org.apache.ibatis.reflection.factory.DefaultObjectFactory;

import org.apache.ibatis.reflection.factory.ObjectFactory;

import org.apache.ibatis.reflection.wrapper.DefaultObjectWrapperFactory;

import org.apache.ibatis.reflection.wrapper.ObjectWrapperFactory;

import org.apache.ibatis.scripting.defaults.DefaultParameterHandler;

import org.apache.ibatis.session.RowBounds;

import org.slf4j.Logger;

import org.slf4j.LoggerFactory;

/**

* 分页拦截器

* @since 10.20.2014

*/

@Intercepts({@Signature(type=StatementHandler.class,method="prepare",args={Connection.class})})

public class PaginationInterceptor implements Interceptor {

private final Logger logger = LoggerFactory.getLogger(PaginationInterceptor.class);

private static final ObjectFactory DEFAULT_OBJECT_FACTORY = new DefaultObjectFactory();

private static final ObjectWrapperFactory DEFAULT_OBJECT_WRAPPER_FACTORY = new DefaultObjectWrapperFactory();

public Object intercept(Invocation invocation) throws Throwable {

StatementHandler statementHandler = (StatementHandler) invocation.getTarget();

MetaObject metaStatementHandler = MetaObject.forObject(statementHandler,

DEFAULT_OBJECT_FACTORY, DEFAULT_OBJECT_WRAPPER_FACTORY);

// 分离代理对象链(因为目标类可能被多个拦截器拦截,从而形成多次代理。通过以下的两次循环

// 能够分离出最原始的的目标类)

while (metaStatementHandler.hasGetter("h")) {

Object object = metaStatementHandler.getValue("h");

metaStatementHandler = MetaObject.forObject(object, DEFAULT_OBJECT_FACTORY,

DEFAULT_OBJECT_WRAPPER_FACTORY);

}

// 分离最后一个代理对象的目标类

while (metaStatementHandler.hasGetter("target")) {

Object object = metaStatementHandler.getValue("target");

metaStatementHandler = MetaObject.forObject(object, DEFAULT_OBJECT_FACTORY,

DEFAULT_OBJECT_WRAPPER_FACTORY);

}

MappedStatement mappedStatement = (MappedStatement)

metaStatementHandler.getValue("delegate.mappedStatement");

// 仅仅重写须要分页的sql语句。通过MappedStatement的ID匹配。默认重写以Page结尾的

//  MappedStatement的sql

BoundSql boundSql = (BoundSql) metaStatementHandler.getValue("delegate.boundSql");

Object parameterObject = boundSql.getParameterObject();

if(parameterObject instanceof  PageParam){

if (parameterObject == null) {

throw new NullPointerException("parameterObject is null!");

} else {

PageParam page = (PageParam)parameterObject;

String sql = boundSql.getSql();

// 重写sql

String pageSql = buildPageSql(sql, page);

metaStatementHandler.setValue("delegate.boundSql.sql", pageSql);

metaStatementHandler.setValue("delegate.rowBounds.offset",

RowBounds.NO_ROW_OFFSET);

metaStatementHandler.setValue("delegate.rowBounds.limit", RowBounds.NO_ROW_LIMIT);

Connection connection = (Connection) invocation.getArgs()[0];

// 重设分页參数里的总页数等

setPageParameter(sql, connection, mappedStatement, boundSql, page);

}

}

// 将运行权交给下一个拦截器

return invocation.proceed();

}

private String buildPageSql(String sql, PageParam page) {

if (page != null) {

StringBuilder pageSql = new StringBuilder();

pageSql = buildPageSqlForOracle(sql, page);

return pageSql.toString();

} else {

return sql;

}

}

public StringBuilder buildPageSqlForOracle(String sql, PageParam page) {

StringBuilder pageSql = new StringBuilder(100);

String beginrow = String.valueOf((page.getCurrentPage() - 1) * page.getPageSize());

String endrow = String.valueOf(page.getCurrentPage() * page.getPageSize());

pageSql.append("select * from ( select temp.*, rownum row_id from ( ");

pageSql.append(sql);

pageSql.append(" ) temp where rownum <= ").append(endrow);

pageSql.append(") where row_id > ").append(beginrow);

return pageSql;

}

/**

* 从数据库里查询总的记录数并计算总页数,回写进分页參数<code>PageParam</code>,这样调用

* 者就可用通过 分页參数<code>PageParam</code>获得相关信息。

*

* @param sql

* @param connection

* @param mappedStatement

* @param boundSql

* @param page

* @throws SQLException

*/

private void setPageParameter(String sql, Connection connection, MappedStatement mappedStatement,

BoundSql boundSql, PageParam page) throws SQLException {

// 记录总记录数

String countSql = "select count(0) from (" + sql + ")";

PreparedStatement countStmt = null;

ResultSet rs = null;

try {

countStmt = connection.prepareStatement(countSql);

BoundSql countBS = new BoundSql(mappedStatement.getConfiguration(), countSql,

boundSql.getParameterMappings(), boundSql.getParameterObject());

setParameters(countStmt, mappedStatement, countBS, boundSql.getParameterObject());

rs = countStmt.executeQuery();

int totalCount = 0;

if (rs.next()) {

totalCount = rs.getInt(1);

}

page.setTotalCount(totalCount);

int totalPage = totalCount / page.getPageSize() + ((totalCount % page.getPageSize() == 0) ? 0 : 1);

page.setTotalPage(totalPage);

} catch (SQLException e) {

logger.error("exception", e);

} finally {

try {

rs.close();

} catch (SQLException e) {

logger.error("exception", e);

}

try {

countStmt.close();

} catch (SQLException e) {

logger.error("exception", e);

}

}

}

private void setParameters(PreparedStatement ps, MappedStatement mappedStatement, BoundSql boundSql,

Object parameterObject) throws SQLException {

ParameterHandler parameterHandler = new DefaultParameterHandler(mappedStatement, parameterObject, boundSql);

parameterHandler.setParameters(ps);

}

@Override

public Object plugin(Object target) {

if (target instanceof StatementHandler) {

return Plugin.wrap(target, this);

} else {

return target;

}

}

@Override

public void setProperties(Properties arg0) {

}

}

将日志的过滤模式调到DEBUG模式,控制台能够打印出SQL

使用上述方法处理的分页查询,其仅仅须要一条SQL语句就能够(Mapper.xml文件的SQL)

<select id="selectChannelSettleByParam" parameterType="PageParam" resultMap="RS_CHANNELSETTLE">

<![CDATA[

select  *

]]>

from channlsettle where 1=1

<if test="params.channelSettleModel.channelId != null and 1000 != params.channelSettleModel.channelId">AND CHANNL_ID=#{params.channelSettleModel.channelId}</if>

<if test="params.channelSettleModel.clearStartTime != null and ‘‘ != params.channelSettleModel.clearStartTime">

<![CDATA[

AND to_number(CLEAR_DATE) >= to_number(substr(#{params.channelSettleModel.clearStartTime},0,8))

]]>

</if>

<if test="params.channelSettleModel.clearEndTime != null and ‘‘ != params.channelSettleModel.clearEndTime">

<![CDATA[

AND to_number(CLEAR_DATE) <= to_number(substr(#{params.channelSettleModel.clearEndTime},0,8))

]]>

</if>

order by INSTDATE desc

</select>

控制台打印的SQL:

第一条:select count(0) from (select *  from channlsettle where 1=1 AND CHANNL_ID=? AND to_number(CLEAR_DATE) >= to_number(substr(?

,0,8)) AND to_number(CLEAR_DATE) <= to_number(substr(?

,0,8)) order by INSTDATE desc)

第二条:select * from ( select temp.*, rownum row_id from ( select *  from channlsettle where 1=1 AND CHANNL_ID=? AND to_number(CLEAR_DATE) >= to_number(substr(?

,0,8)) AND to_number(CLEAR_DATE) <= to_number(substr(?

,0,8)) order
by INSTDATE desc ) temp where rownum <= 20) where row_id > 0

从而让公共类实现了我们须要在Mapper.xml配置文件里反复写入两条SQL的工作,以后没一个分页查询都能够使用。

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时间: 2024-08-10 21:24:42

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