<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="com.dy.pipIrrGlobal.daoRm.RmLossDayMapper">
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<resultMap id="BaseResultMap" type="com.dy.pipIrrGlobal.pojoRm.RmLossDay">
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<!--@mbg.generated-->
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<!--@Table rm_loss_day-->
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<id column="id" jdbcType="BIGINT" property="id" />
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<result column="controller_id" jdbcType="BIGINT" property="controllerId" />
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<result column="intake_id" jdbcType="BIGINT" property="intakeId" />
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<result column="rtu_addr" jdbcType="VARCHAR" property="rtuAddr" />
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<result column="dt" jdbcType="DATE" property="dt" />
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<result column="dt_last" jdbcType="TIMESTAMP" property="dtLast" />
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<result column="dt_rtu" jdbcType="TIMESTAMP" property="dtRtu" />
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<result column="loss_amount" jdbcType="DOUBLE" property="lossAmount" />
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</resultMap>
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<sql id="Base_Column_List">
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<!--@mbg.generated-->
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id, controller_id, intake_id, rtu_addr, dt, dt_last, dt_rtu, loss_amount
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</sql>
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<select id="selectByPrimaryKey" parameterType="java.lang.Long" resultMap="BaseResultMap">
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<!--@mbg.generated-->
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select
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<include refid="Base_Column_List" />
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from rm_loss_day
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where id = #{id,jdbcType=BIGINT}
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</select>
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<select id="selectByIntakeId" parameterType="java.lang.Long" resultMap="BaseResultMap">
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<!--@mbg.generated-->
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select
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<include refid="Base_Column_List" />
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from rm_loss_day
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where intake_id = #{intakeId,jdbcType=BIGINT}
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</select>
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<select id="selectByDate" parameterType="java.util.Date" resultMap="BaseResultMap">
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<!--@mbg.generated-->
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select
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<include refid="Base_Column_List" />
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from rm_loss_day
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where dt = #{dt,jdbcType=DATE}
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</select>
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<delete id="deleteByPrimaryKey" parameterType="java.lang.Long">
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<!--@mbg.generated-->
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delete from rm_loss_day
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where id = #{id,jdbcType=BIGINT}
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</delete>
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<insert id="insert" parameterType="com.dy.pipIrrGlobal.pojoRm.RmLossDay">
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<!--@mbg.generated-->
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insert into rm_loss_day (id, controller_id, intake_id,
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rtu_addr, dt, dt_last, dt_rtu, loss_amount
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)
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values (#{id,jdbcType=BIGINT}, #{controllerId,jdbcType=BIGINT}, #{intakeId,jdbcType=BIGINT},
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#{rtuAddr,jdbcType=VARCHAR}, #{dt,jdbcType=DATE}, #{dtLast,jdbcType=TIMESTAMP}, #{dtRtu,jdbcType=TIMESTAMP}, #{lossAmount,jdbcType=DOUBLE}
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)
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</insert>
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<insert id="insertSelective" parameterType="com.dy.pipIrrGlobal.pojoRm.RmLossDay">
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<!--@mbg.generated-->
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insert into rm_loss_day
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<trim prefix="(" suffix=")" suffixOverrides=",">
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<if test="id != null">
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id,
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</if>
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<if test="controllerId != null">
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controller_id,
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</if>
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<if test="intakeId != null">
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intake_id,
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</if>
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<if test="rtuAddr != null">
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rtu_addr,
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</if>
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<if test="dt != null">
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dt,
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</if>
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<if test="dtLast != null">
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dt_last,
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</if>
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<if test="dtRtu != null">
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dt_rtu,
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</if>
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<if test="lossAmount != null">
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loss_amount,
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</if>
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</trim>
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<trim prefix="values (" suffix=")" suffixOverrides=",">
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<if test="id != null">
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#{id,jdbcType=BIGINT},
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</if>
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<if test="controllerId != null">
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#{controllerId,jdbcType=BIGINT},
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</if>
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<if test="intakeId != null">
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#{intakeId,jdbcType=BIGINT},
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</if>
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<if test="rtuAddr != null">
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#{rtuAddr,jdbcType=VARCHAR},
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</if>
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<if test="dt != null">
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#{dt,jdbcType=DATE},
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</if>
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<if test="dtLast != null">
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#{dtLast,jdbcType=TIMESTAMP},
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</if>
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<if test="dtRtu != null">
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#{dtRtu,jdbcType=TIMESTAMP},
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</if>
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<if test="lossAmount != null">
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#{lossAmount,jdbcType=DOUBLE},
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</if>
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</trim>
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</insert>
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<update id="updateByPrimaryKeySelective" parameterType="com.dy.pipIrrGlobal.pojoRm.RmLossDay">
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<!--@mbg.generated-->
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update rm_loss_day
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<set>
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<if test="controllerId != null">
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controller_id = #{controllerId,jdbcType=BIGINT},
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</if>
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<if test="intakeId != null">
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intake_id = #{intakeId,jdbcType=BIGINT},
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</if>
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<if test="rtuAddr != null">
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rtu_addr = #{rtuAddr,jdbcType=VARCHAR},
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</if>
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<if test="dt != null">
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dt = #{dt,jdbcType=DATE},
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</if>
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<if test="dtLast != null">
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dt_last = #{dtLast,jdbcType=TIMESTAMP},
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</if>
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<if test="dtRtu != null">
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dt_rtu = #{dtRtu,jdbcType=TIMESTAMP},
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</if>
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<if test="lossAmount != null">
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loss_amount = #{lossAmount,jdbcType=DOUBLE},
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</if>
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</set>
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where id = #{id,jdbcType=BIGINT}
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</update>
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<update id="updateByPrimaryKey" parameterType="com.dy.pipIrrGlobal.pojoRm.RmLossDay">
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<!--@mbg.generated-->
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update rm_loss_day
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set controller_id = #{controllerId,jdbcType=BIGINT},
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intake_id = #{intakeId,jdbcType=BIGINT},
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rtu_addr = #{rtuAddr,jdbcType=VARCHAR},
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dt = #{dt,jdbcType=DATE},
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dt_last = #{dtLast,jdbcType=TIMESTAMP},
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dt_rtu = #{dtRtu,jdbcType=TIMESTAMP},
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loss_amount = #{lossAmount,jdbcType=DOUBLE}
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where id = #{id,jdbcType=BIGINT}
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</update>
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<!--根据指定条件获取记录总数-->
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<select id="getRecordCount" resultType="java.lang.Long">
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select count(*)
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from rm_loss_day rld
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Left join pr_intake pint on pint.id = rld.intake_id
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<where>
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<if test="intakeId != null and intakeId != '' ">
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and rash.intake_id = #{intakeId}
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</if>
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<if test="intakeName != null and intakeName != '' ">
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and pint.name like CONCAT('%',#{intakeName,jdbcType=VARCHAR},'%')
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</if>
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<if test="startDt != null">
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and rld.dt >= #{startDt,jdbcType=DATE}
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</if>
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<if test="endDt != null">
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and rld.dt <= #{endDt,jdbcType=DATE}
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</if>
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</where>
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</select>
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<!--根据指定条件获取记录-->
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<select id="getLossDayHistory" resultType="com.dy.pipIrrGlobal.voRm.VoLossDay">
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select
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CAST(rld.intake_id AS char)AS intakeId,
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CAST(rld.controller_id AS char)AS controllerId,
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pint.name as intakeName,
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rld.rtu_addr as rtuAddr,
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rld.dt as dt,
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rld.dt_last as dtLast,
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rld.dt_rtu as dtRtu,
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rld.loss_amount as lossAmount
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from rm_loss_day rld
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Left join pr_intake pint on pint.id = rld.intake_id
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<where>
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<if test="intakeId != null and intakeId != '' ">
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and rash.intake_id = #{intakeId}
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</if>
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<if test="intakeName != null and intakeName != '' ">
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and pint.name like CONCAT('%',#{intakeName,jdbcType=VARCHAR},'%')
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</if>
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<if test="startDt != null">
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and rld.dt >= #{startDt,jdbcType=DATE}
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</if>
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<if test="endDt != null">
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and rld.dt <= #{endDt,jdbcType=DATE}
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</if>
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</where>
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ORDER BY rld.dt DESC , rld.loss_amount DESC
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<if test="pageCurr != null and pageSize != null">
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LIMIT ${(pageCurr-1)*pageSize}, ${pageSize}
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</if>
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</select>
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<select id="statisticsByIntake" resultType="com.dy.pipIrrGlobal.voSt.VoIntakeLossStatistics">
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select intake_id, sum(loss_amount) amount
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from rm_loss_day
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where id <![CDATA[>=]]> #{startId, jdbcType=BIGINT} and id <![CDATA[<]]> #{endId, jdbcType=BIGINT}
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group by intake_id
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</select>
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</mapper>
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