Mybatis一對多查詢的兩種姿勢(值得收藏)
前言
最近碰到了Mybatis一對多查詢的場景,在這里總結對比下常見的兩種實現方式。
本文以常見的訂單表和訂單詳情表來舉例說明;
數據庫表準備
訂單表 tbl_order
訂單詳情表 tlb_order_detail
ps: 一個訂單關聯多個訂單詳情,通過order_no訂單號關聯;
實例演示
方法一:聯合查詢ResultMap映射
sql直接關聯查詢,然后結果集通過resultMap的collection映射
例如 查詢訂單列表,包括訂單詳情
Order.java 中新增字段orderDetailList,用于存詳情列表
public class Order { private Integer id; private String orderNo; private Date orderTime; private Date payTime; private String remark; /**訂單詳情*/ private List<OrderDetail> orderDetailList; //省略get、set
OrderMapper.java 新增查詢方法
List<Order> queryOrderList(Map map);
OrderMapper.xml
<resultMap id="BaseResultMap" type="com.chouxiaozi.mybatisdruid.entity.Order" > <id column="id" property="id" jdbcType="INTEGER" /> <result column="order_no" property="orderNo" jdbcType="VARCHAR" /> <result column="order_time" property="orderTime" jdbcType="TIMESTAMP" /> <result column="pay_time" property="payTime" jdbcType="TIMESTAMP" /> <result column="remark" property="remark" jdbcType="VARCHAR" /> <collection property="orderDetailList" ofType="com.chouxiaozi.mybatisdruid.entity.OrderDetail"> <id column="d_id" property="id" jdbcType="INTEGER" /> <result column="d_order_no" property="orderNo" jdbcType="VARCHAR" /> <result column="good_name" property="goodName" jdbcType="VARCHAR" /> <result column="good_id" property="goodId" jdbcType="INTEGER" /> <result column="good_count" property="goodCount" jdbcType="INTEGER" /> </collection> </resultMap> <select id="queryOrderList" resultMap="BaseResultMap"> SELECT o.*, d.id as d_id,d.order_no as d_order_no,d.good_name,d.good_id,d.good_count FROM tbl_order o LEFT JOIN tbl_order_detail d ON d.order_no = o.order_no where 1=1 <if test="orderNo != null and orderNo != ''"> and o.order_no = #{orderNo} </if> ORDER BY o.order_time desc </select>
查詢結果展示
[
{
"id": 2,
"orderNo": "DD000002",
"orderTime": "2021-05-09 12:25:57",
"payTime": "2021-05-09 12:25:59",
"remark": "2號訂單",
"orderDetailList": [
{
"id": 5,
"orderNo": "DD000002",
"goodName": "耳機",
"goodId": 5,
"goodCount": 1
},
{
"id": 4,
"orderNo": "DD000002",
"goodName": "手機",
"goodId": 4,
"goodCount": 1
}
]
},
{
"id": 1,
"orderNo": "DD000001",
"orderTime": "2021-05-09 12:25:37",
"payTime": "2021-05-09 12:25:41",
"remark": "1號訂單",
"orderDetailList": [
{
"id": 2,
"orderNo": "DD000001",
"goodName": "飲料",
"goodId": 2,
"goodCount": 2
},
{
"id": 1,
"orderNo": "DD000001",
"goodName": "瓜子",
"goodId": 1,
"goodCount": 1
},
{
"id": 3,
"orderNo": "DD000001",
"goodName": "礦泉水",
"goodId": 3,
"goodCount": 2
}
]
}
]
原理:sql直接關聯查詢,然后結果集通過resultMap的collection映射,將order_detail表對應的字段映射到orderDetailList字段中。
優(yōu)點:條件查詢方便;無論是訂單表還是詳情表如果要進行一些條件過濾的話,非常方便,直接寫在where中限制就行。
不足:因為是先關聯查詢,后映射;如果需要進行分頁查詢的話,這種方式就無法滿足。主表2條數據,詳情表5條數據,關聯之后就是10條,無法得主表進行分頁;解決方法,就是先給主表套個子查詢limit分頁后,然后結果集再跟詳情表進行關聯查詢;
方法二:子查詢映射
通過resultMap中collection標簽的select屬性去執(zhí)行子查詢
還以查詢訂單列表為例
OrderMapper.java
List<Order> queryOrderList2(Map map);
OrderMapper.xml
<!--主查詢的resultMap--> <resultMap id="BaseResultMap2" type="com.chouxiaozi.mybatisdruid.entity.Order" > <id column="id" property="id" jdbcType="INTEGER" /> <result column="order_no" property="orderNo" jdbcType="VARCHAR" /> <result column="order_time" property="orderTime" jdbcType="TIMESTAMP" /> <result column="pay_time" property="payTime" jdbcType="TIMESTAMP" /> <result column="remark" property="remark" jdbcType="VARCHAR" /> <!--select子查詢, column 傳給子查詢的參數--> <collection property="orderDetailList" ofType="com.chouxiaozi.mybatisdruid.entity.OrderDetail" select="queryDetail" column="order_no"> </collection> </resultMap> <!--主查詢的sql--> <select id="queryOrderList2" resultMap="BaseResultMap2"> SELECT o.* FROM tbl_order o where 1=1 <if test="orderNo != null and orderNo != ''"> and o.order_no = #{orderNo} </if> ORDER BY o.order_time desc </select> <!--子查詢的resultMap--> <resultMap id="detailResuleMap" type="com.chouxiaozi.mybatisdruid.entity.OrderDetail"> <id column="id" property="id" jdbcType="INTEGER" /> <result column="order_no" property="orderNo" jdbcType="VARCHAR" /> <result column="good_name" property="goodName" jdbcType="VARCHAR" /> <result column="good_id" property="goodId" jdbcType="INTEGER" /> <result column="good_count" property="goodCount" jdbcType="INTEGER" /> </resultMap> <!--子查詢的sql--> <select id="queryDetail" resultMap="detailResuleMap"> SELECT * FROM `tbl_order_detail` where order_no = #{order_no} </select>
查詢結果同上個例子一樣;
原理:通過collection的select方法去調用子查詢;所需參數通過column傳遞;
優(yōu)點:無論是分頁還是普通查詢都能滿足;主表增加過濾條件也很方便,直接在主查詢的sql中增加where條件就行
缺點:子查詢不好增加過濾條件;column只能傳遞主表已有的字段。下面提供解決方式;
ps:column傳遞多個參數 column=“{prop1=col1,prop2=col2}”
例如:實際場景中,詳情表有個狀態(tài)字段,只展示狀態(tài)正常的詳情,需要過濾詳情記錄。
本例子沒有狀態(tài)字段,就查詢訂單列表,詳情中不展示瓜子,即詳情記錄中過濾掉good_id = 1的;
在上個例子基礎上修改如下:
調用層傳參
Map map = new HashMap(); map.put("goodId", 1); orderMapper.queryOrderList2(map);
orderMapper.xml中增加傳參過濾
展示結果如下:詳情中已成功過濾掉瓜子;記住,過濾子查詢不會影響主表記錄;
[
{
"id": 2,
"orderNo": "DD000002",
"orderTime": "2021-05-09 12:25:57",
"payTime": "2021-05-09 12:25:59",
"remark": "2號訂單",
"orderDetailList": [
{
"id": 4,
"orderNo": "DD000002",
"goodName": "手機",
"goodId": 4,
"goodCount": 1
},
{
"id": 5,
"orderNo": "DD000002",
"goodName": "耳機",
"goodId": 5,
"goodCount": 1
}
]
},
{
"id": 1,
"orderNo": "DD000001",
"orderTime": "2021-05-09 12:25:37",
"payTime": "2021-05-09 12:25:41",
"remark": "1號訂單",
"orderDetailList": [
{
"id": 2,
"orderNo": "DD000001",
"goodName": "飲料",
"goodId": 2,
"goodCount": 2
},
{
"id": 3,
"orderNo": "DD000001",
"goodName": "礦泉水",
"goodId": 3,
"goodCount": 2
}
]
}
]
總結
方式 | 聯合查詢映射 | 子查詢映射 |
---|---|---|
原理 | sql查詢完成后再通過resultmap映射結果 | 主表的數據集循環(huán)調用子查詢 |
分頁 | 不支持分頁查詢,主表套子查詢也能實現 | 支持分頁 |
條件過濾 | 方便條件過濾 | 傳參也能實現,復雜參數例如list不好傳遞給子查詢 ;子查詢過濾不影響主表數據 |
到此這篇關于Mybatis一對多查詢的文章就介紹到這了,更多相關Mybatis一對多查詢內容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關文章希望大家以后多多支持腳本之家!
相關文章
Java隨機值設置(java.util.Random類或Math.random方法)
在編程中有時我們需要生成一些隨機的字符串作為授權碼、驗證碼等,以確保數據的安全性和唯一性,這篇文章主要給大家介紹了關于Java隨機值設置的相關資料,主要用的是java.util.Random類或Math.random()方法,需要的朋友可以參考下2024-08-08SpringBoot自定義FailureAnalyzer詳解
這篇文章主要介紹了SpringBoot自定義FailureAnalyzer詳解,FailureAnalyzer是一種在啟動時攔截?exception?并將其轉換為?human-readable?消息的好方法,包含在故障分析中,需要的朋友可以參考下2023-11-11Springboot整合freemarker和相應的語法詳解
FreeMarker是一款Spring官方推薦使用的模板引擎。接下來通過本文給大家介紹Springboot整合freemarker和相應的語法,感興趣的朋友一起看看吧2021-09-09