今天小编给大家分享一下基于Java如何用Mybatis实现oracle批量插入及分页查询的相关知识点,内容详细,逻辑清晰,相信大部分人都还太了解这方面的知识,所以分享这篇文章给大家参考一下,希望大家阅读完这篇文章后有所收获,下面我们一起来了解一下吧。
1、单条数据insert
<!--简单SQL--> insert into userinfo (USERID, USERNAME, AGE) values(1001,'小明',20); <!--Mybatis写法1,有序列,主键是自增ID,主键是序列--> <insert id="insert" parameterType="com.zznode.modules.bean.UserInfo"> <selectKey resultType="java.lang.Integer" order="BEFORE" keyProperty="userid"> SELECT userinfo_userid_seq.nextval as userid from dual </selectKey> insert into EPG_ALARM_INFO (USERID, USERNAME, AGE) values (#{userid}, #{username}, #{age}) </insert> <!--Mybatis写法2,无序列,主键是uuid,字符串--> <insert id="insert" parameterType="com.zznode.modules.bean.UserInfo"> insert into EPG_ALARM_INFO (USERID, USERNAME, AGE, TIME) values (#{userid}, #{username}, #{age}, sysdate) </insert>
2、批量数据批量insert
insert all into 的方式返回值由最后的select 决定:
<!--简单SQL, 方法1--> INSERT ALL INTO userinfo (USERID, USERNAME, AGE) values(1001,'小明',20) INTO userinfo (USERID, USERNAME, AGE) values(1002,'小红',18) INTO userinfo (USERID, USERNAME, AGE) values(1003,'张三',23) select 3 from dual; <!--简单SQL, 方法2--> begin insert into userinfo (USERID, USERNAME, AGE) values(1001,'小明',20); insert into userinfo (USERID, USERNAME, AGE) values(1001,'小红',18); insert into userinfo (USERID, USERNAME, AGE) values(1001,'张三',23); end; <!--简单SQL, 方法3--> insert into userinfo (USERID, USERNAME, AGE) select 1001, '小明', 20 from dual union all select 1002, '小红', 18 from dual union all select 1003, '张三', 23 from dual
<!--Mybatis写法1,无序列--> <insert id="insertBatch" parameterType="java.util.List"> INSERT ALL <foreach collection="list" index="index" item="item"> INTO userinfo (USERID, USERNAME, AGE) VALUES (#{item.userid}, #{item.username}, #{item.age}) </foreach> select list.size from dual </insert> <!--Mybatis写法2,无序列--> <insert id="insertBatch"> insert into EPG_ALARM_INFO (USERID, USERNAME, AGE) <foreach collection="list" item="item" index="index" separator="union all"> <!-- <foreach collection="list" item="item" index="index" separator="union all" open="(" close=")"> --> <!-- (select #{item.userid}, #{item.username}, #{item.age} from dual) --> <!-- 上面带括号,下面不带括号,都可以,少量数据不带括号效率高 --> select #{item.userid}, #{item.username}, #{item.age} from dual </foreach> </insert> <!--Mybatis写法3,有序列--> <insert id="insertBatch"> insert into EPG_ALARM_INFO (USERID, USERNAME, AGE) SELECT userinfo_userid_seq.nextval, m.* FROM ( <foreach collection="list" item="item" index="index" separator="union all"> select #{item.username}, #{item.age} from dual </foreach> ) m </insert>
3、创建序列
minvalue n (/nominvalue):最小值为n
maxvalue n (/nomaxvalue):最大值为n
start with n:从n开始计数
increment by n:每次增加n
cache n (/nocache):缓存n个sequence值 / 不缓存,如果缓存,则会有跳号的危险
noorder (/order):不保证序列号按顺序生成请求
cycle n (/nocycle):如果到达最大值n后,再次从start with n开始
currval:序列的当前值,新序列必须使用一次nextval 才能获取到值,否则会报错
nextval:表示序列的下一个值。新序列首次使用时获取的是该序列的初始值,从第二次使用时开始按照设置的步进递增
删除序列语法: drop sequence seq_表名
<!-- create sequence 序列名 increment by 1 --每次增加几个,我这里是每次增加1 start with 1 --从1开始计数 nomaxvalue --不设置最大值 nocycle --一直累加,不循环 nocache; --不建缓冲区 在插入语句中调用:序列名.nextval 生成自增主键。 --> <!--创建序列--> create sequence SEQ_USERINFO minvalue 1 maxvalue 9999999999 start with 1 increment by 1 nocache; <!--删除序列--> drop sequence SEQ_USERINFO
4、oracle分页查询
前端与后端交互,分页查询
service业务实现:
public List<TBadUserW> queryPageBadUserInfo(TbadUserQuery queryModel) { log.info("分页查询请求参数,{}", JSON.toJSONString(queryModel)); int pageNum = queryModel.getPageNum(); // 开始页 int pageSize = queryModel.getPageSize(); // 每页数量 queryModel.setStart((pageNum - 1) * pageSize); // 开始行数 (+1后) queryModel.setEnd(pageNum * pageSize); // 结束行数 List<TBadUserW> beans = badUserWDao.queryPageBadUserInfo(queryModel); log.info("最终查询数量:", beans.size()); return beans; }
mapper.xml文件:
<select id="queryPageInfo" parameterType="com.zznode.test.bean.TbadUserQuery" resultMap="BaseResultMap" > SELECT tt.* FROM ( <!--前端分页需要 total总记录--> SELECT t.*, ROWNUM rown, COUNT (*) OVER () total FROM ( select <include refid="Base_Column_List"/> from T_BAD_USER_W <where> <if test="city != null and city !=''"> and city = #{city} </if> <if test="county != null and county != ''"> and county = #{county} </if> <if test="startTime != null and startTime !=''"> and loadtime >= to_date(#{startTime} , 'yyyy-mm-dd hh44:mi:ss') </if> <if test="endTime != null and endTime !=''"> and loadtime <![CDATA[<=]]> to_date(#{endTime} , 'yyyy-mm-dd hh44:mi:ss') </if> </where> )t )tt where tt.rown > #{start} and tt.rown <![CDATA[<=]]> #{end} </select>
后端海量数据导出,批量查询
service业务实现:
public List<TBadUserW> queryPageBadUserInfo(TbadUserQuery queryModel) { log.info("分页查询请求参数,{}", JSON.toJSONString(queryModel)); List<TBadUserW> result = new ArrayList<>(); int pageNum = queryModel.getPageNum(); // 开始页 int pageSize = queryModel.getPageSize(); // 每页数量(可以每页设置为200/500/1000),每次查询的条数 boolean searchAll = true; while (searchAll){ queryModel.setStart((pageNum - 1) * pageSize); // 开始行数 (+1后) queryModel.setEnd(pageNum * pageSize); // 结束行数 List<TBadUserW> beans = badUserWDao.queryPageBadUserInfo(queryModel); if (null == beans || beans.size() < pageSize) { searchAll = false; } if (CollectionUtils.isNotEmpty(beans)) { result.addAll(beans); } pageNum++; } log.info("最终查询数量:", result.size()); return result; }
mapper.xml文件编写
<!--这种写法是比较高效的分批查询方法,分批不需要查询total总量,不支持total--> <select id="queryPageInfo" parameterType="com.zznode.test.bean.TbadUserQuery" resultMap="BaseResultMap" > SELECT tt.* FROM ( SELECT t.*, ROWNUM rown FROM ( select <include refid="Base_Column_List"/> from T_BAD_USER_W <where> <if test="city != null and city !=''"> and city = #{city} </if> <if test="county != null and county != ''"> and county = #{county} </if> <if test="startTime != null and startTime !=''"> and loadtime >= to_date(#{startTime} , 'yyyy-mm-dd hh44:mi:ss') </if> <if test="endTime != null and endTime !=''"> and loadtime <![CDATA[<=]]> to_date(#{endTime} , 'yyyy-mm-dd hh44:mi:ss') </if> </where> )t where ROWNUM <![CDATA[<=]]> #{end} )tt where tt.rown > #{start} </select>