奶产量分析
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@@ -2,151 +2,61 @@
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<!DOCTYPE mapper
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PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
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"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="com.zhyc.module.dairyProducts.mapper.NpSheepMilkAnalysisMapper">
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<resultMap id="NpSheepMilkAnalysisResultMap" type="com.zhyc.module.dairyProducts.domain.NpSheepMilkAnalysis">
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<id column="id" property="id"/>
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<result column="manage_ear_tag" property="manageEarTag"/>
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<result column="variety" property="variety"/>
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<result column="milking_date" property="milkingDate"/>
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<result column="dry_date" property="dryDate"/>
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<result column="milking_days" property="milkingDays"/>
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<result column="max_parity" property="maxParity"/>
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<result column="total_milk" property="totalMilk"/>
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<result column="total_corrected_milk" property="totalCorrectedMilk"/>
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<result column="avg_daily_corrected_milk" property="avgDailyCorrectedMilk"/>
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<result column="parity1_total_milk" property="parity1TotalMilk"/>
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<result column="parity2_total_milk" property="parity2TotalMilk"/>
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<result column="parity3_total_milk" property="parity3TotalMilk"/>
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<result column="parity4_total_milk" property="parity4TotalMilk"/>
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<result column="parity1_avg_milk" property="parity1AvgMilk"/>
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<result column="parity2_avg_milk" property="parity2AvgMilk"/>
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<result column="parity3_avg_milk" property="parity3AvgMilk"/>
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<result column="parity4_avg_milk" property="parity4AvgMilk"/>
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<result column="lactation_days" property="lactationDays"/>
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<result column="last_7_avg_milk" property="last7AvgMilk"/>
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<result column="last_7_corrected_milk" property="last7CorrectedMilk"/>
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<result column="last_14_avg_milk" property="last14AvgMilk"/>
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<result column="last_30_avg_milk" property="last30AvgMilk"/>
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<result column="sheep_type" property="sheepType"/>
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<result column="birthday" property="birthday"/>
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<result column="current_parity" property="currentParity"/>
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<result column="month_age" property="monthAge"/>
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<result column="current_weight" property="currentWeight"/>
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<result column="breed_status" property="breedStatus"/>
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<result column="father_tag" property="fatherTag"/>
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<result column="mother_tag" property="motherTag"/>
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<result column="ranch" property="ranch"/>
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<result column="family" property="family"/>
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<result column="mother_milking_days" property="motherMilkingDays"/>
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<result column="mother_total_corrected_milk" property="motherTotalCorrectedMilk"/>
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<result column="mother_max_parity" property="motherMaxParity"/>
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<result column="mother_avg_corrected" property="motherAvgCorrected"/>
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</resultMap>
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<sql id="Base_Column_List">
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id, manage_ear_tag, variety, milking_date, dry_date, milking_days,
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screen_days, max_parity, total_milk, total_corrected_milk,
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avg_daily_corrected_milk, parity1_total_milk, parity2_total_milk,
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parity3_total_milk, parity4_total_milk, parity1_avg_milk,
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parity2_avg_milk, parity3_avg_milk, parity4_avg_milk,
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lactation_days, last_7_avg_milk, last_7_corrected_milk,
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last_14_avg_milk, last_30_avg_milk, sheep_type, birthday,
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current_parity, month_age, current_weight, breed_status,
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father_tag, mother_tag, ranch, family, mother_milking_days,
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mother_total_corrected_milk, mother_max_parity,
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mother_avg_corrected
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</sql>
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<select id="selectNpSheepMilkAnalysisById" resultMap="NpSheepMilkAnalysisResultMap">
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SELECT <include refid="Base_Column_List"/>
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FROM np_sheep_milk_analysis
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WHERE id = #{id}
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</select>
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<select id="selectNpSheepMilkAnalysisList" resultMap="NpSheepMilkAnalysisResultMap">
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SELECT <include refid="Base_Column_List"/>
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FROM np_sheep_milk_analysis
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<!-- 1) 获取 distinct sheep_id（支持按 sheep_file.bs_manage_tags 模糊搜索） -->
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<select id="selectDistinctSheepIds" resultType="string" parameterType="map">
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SELECT DISTINCT a.sheep_id
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FROM np_milk_prod_classes a
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LEFT JOIN sheep_file sf ON a.sheep_id = sf.id
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<where>
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<if test="manageEarTag != null and manageEarTag != ''">
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AND manage_ear_tag LIKE CONCAT('%', #{manageEarTag}, '%')
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AND sf.bs_manage_tags LIKE CONCAT('%', #{manageEarTag}, '%')
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</if>
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<!-- 可继续添加其他搜索条件 -->
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</where>
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ORDER BY milking_date DESC
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ORDER BY a.sheep_id
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</select>
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<insert id="insertNpSheepMilkAnalysis" parameterType="com.zhyc.module.dairyProducts.domain.NpSheepMilkAnalysis">
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INSERT INTO np_sheep_milk_analysis (
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<include refid="Base_Column_List"/>
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) VALUES (
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#{id}, #{manageEarTag}, #{variety}, #{milkingDate}, #{dryDate},
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#{milkingDays}, #{screenDays}, #{maxParity}, #{totalMilk},
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#{totalCorrectedMilk}, #{avgDailyCorrectedMilk}, #{parity1TotalMilk},
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#{parity2TotalMilk}, #{parity3TotalMilk}, #{parity4TotalMilk},
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#{parity1AvgMilk}, #{parity2AvgMilk}, #{parity3AvgMilk},
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#{parity4AvgMilk}, #{lactationDays}, #{last7AvgMilk},
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#{last7CorrectedMilk}, #{last14AvgMilk}, #{last30AvgMilk},
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#{sheepType}, #{birthday}, #{currentParity}, #{monthAge},
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#{currentWeight}, #{breedStatus}, #{fatherTag}, #{motherTag},
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#{ranch}, #{family}, #{motherMilkingDays},
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#{motherTotalCorrectedMilk}, #{motherMaxParity},
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#{motherAvgCorrected}
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)
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</insert>
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<!-- 2) 获取某只羊的所有班次记录（按班次日期升序） -->
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<!-- 假设表中字段：class_date, system_milk, corrected_milk, parity -->
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<select id="selectMilkRecordsBySheepId" resultType="map" parameterType="string">
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SELECT
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datetime AS classDate,
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milk AS systemMilk,
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corrected_milk AS correctedMilk,
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classes AS parity
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FROM np_milk_prod_classes
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WHERE sheep_id = #{sheepId}
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ORDER BY datetime ASC
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</select>
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<update id="updateNpSheepMilkAnalysis" parameterType="com.zhyc.module.dairyProducts.domain.NpSheepMilkAnalysis">
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UPDATE np_sheep_milk_analysis
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SET manage_ear_tag = #{manageEarTag},
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variety = #{variety},
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milking_date = #{milkingDate},
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dry_date = #{dryDate},
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milking_days = #{milkingDays},
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screen_days = #{screenDays},
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max_parity = #{maxParity},
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total_milk = #{totalMilk},
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total_corrected_milk = #{totalCorrectedMilk},
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avg_daily_corrected_milk = #{avgDailyCorrectedMilk},
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parity1_total_milk = #{parity1TotalMilk},
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parity2_total_milk = #{parity2TotalMilk},
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parity3_total_milk = #{parity3TotalMilk},
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parity4_total_milk = #{parity4TotalMilk},
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parity1_avg_milk = #{parity1AvgMilk},
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parity2_avg_milk = #{parity2AvgMilk},
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parity3_avg_milk = #{parity3AvgMilk},
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parity4_avg_milk = #{parity4AvgMilk},
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lactation_days = #{lactationDays},
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last_7_avg_milk = #{last7AvgMilk},
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last_7_corrected_milk = #{last7CorrectedMilk},
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last_14_avg_milk = #{last14AvgMilk},
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last_30_avg_milk = #{last30AvgMilk},
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sheep_type = #{sheepType},
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birthday = #{birthday},
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current_parity = #{currentParity},
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month_age = #{monthAge},
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current_weight = #{currentWeight},
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breed_status = #{breedStatus},
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father_tag = #{fatherTag},
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mother_tag = #{motherTag},
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ranch = #{ranch},
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family = #{family},
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mother_milking_days = #{motherMilkingDays},
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mother_total_corrected_milk = #{motherTotalCorrectedMilk},
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mother_max_parity = #{motherMaxParity},
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mother_avg_corrected = #{motherAvgCorrected}
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WHERE id = #{id}
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</update>
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<delete id="deleteNpSheepMilkAnalysisById" parameterType="Long">
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DELETE FROM np_sheep_milk_analysis WHERE id = #{id}
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</delete>
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<!-- 3) 获取该羊在 sheep_file 视图中的基础信息 -->
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<!-- 假设字段名称：bs_manage_tags、variety、lactation_day、name、birthday、parity、month_age、current_weight、breed、father_manage_tags、mother_manage_tags、dr_ranch、family -->
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<select id="selectSheepFileBySheepId" resultType="map" parameterType="string">
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SELECT
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id AS sheep_id,
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bs_manage_tags AS manageEarTag,
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variety,
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lactation_day AS lactationDay,
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name AS sheepType,
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birthday,
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parity AS currentParity,
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month_age AS monthAge,
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current_weight AS currentWeight,
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breed AS breedStatus,
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father_manage_tags AS fatherManageTags,
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mother_manage_tags AS motherManageTags,
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dr_ranch AS ranchName,
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family
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FROM sheep_file
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WHERE id = #{sheepId}
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</select>
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<delete id="deleteNpSheepMilkAnalysisByIds" parameterType="Long">
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DELETE FROM np_sheep_milk_analysis WHERE id IN
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<foreach item="id" collection="array" open="(" separator="," close=")">
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#{id}
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</foreach>
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</delete>
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<!-- 4) 兼容旧 list 查询（返回 domain 对象列表），但在我们的实现中 service 会构造最终的 NpSheepMilkAnalysis 列表 -->
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<select id="selectNpSheepMilkAnalysisList" resultType="com.zhyc.module.dairyProducts.domain.NpSheepMilkAnalysis" parameterType="com.zhyc.module.dairyProducts.domain.NpSheepMilkAnalysis">
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<!-- 如果你仍需基于某张表的简单映射，可在此实现；当前我们在 ServiceImpl 中组装对象，所以该查询不做复杂实现 -->
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SELECT 1 FROM dual WHERE 1=0
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</select>
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</mapper>
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