实现临时任务功能：重新统计所有取水口月用水量和年用水量

liurunyu

2024-12-16 a8157b2445e6d17fa23fcf19143f5e1fcb179ee2

 pipIrr-platform/pipIrr-global/src/main/resources/mapper/Temp4ChangeMapper.xml

@@ -28,4 +28,66 @@
        set amount = #{amount, jdbcType=FLOAT}
        where id = #{id, jdbcType=BIGINT}
    </update>


    <delete id="deleteAllIntakeAmountMonth">
        delete from st_intake_amount_month
    </delete>

    <!--  -->
    <select id="statisticAllIntakeAmountMonthFromAmountDay" resultType="com.dy.pipIrrGlobal.pojoSt.StIntakeAmountMonth">
        select intake_id as intakeId ,
        sum(amount) as amount
        from  rm_intake_amount_day
        where dt <![CDATA[>=]]> #{startDt, jdbcType=DATE}
        and dt <![CDATA[<=]]> #{endDt, jdbcType=DATE}
        group by intake_id
    </select>

    <insert id="saveOneIntakeAmountMonth" parameterType="com.dy.pipIrrGlobal.pojoSt.StIntakeAmountMonth">
        <!--@mbg.generated-->
        insert into st_intake_amount_month (
        id,
        intake_id,
        year,
        month,
        amount
        )
        values (#{id,jdbcType=BIGINT},
        #{intakeId,jdbcType=BIGINT},
        #{year,jdbcType=INTEGER},
        #{month,jdbcType=INTEGER},
        #{amount,jdbcType=FLOAT}
        )
    </insert>

    <delete id="deleteAllIntakeAmountYear">
        delete from st_intake_amount_year
    </delete>

    <!--  -->
    <select id="statisticAllIntakeAmountYearFromAmountDay" resultType="com.dy.pipIrrGlobal.pojoSt.StIntakeAmountYear">
        select intake_id as intakeId ,
        sum(amount) as amount
        from  rm_intake_amount_day
        where dt <![CDATA[>=]]> #{startDt, jdbcType=DATE}
        and dt <![CDATA[<=]]> #{endDt, jdbcType=DATE}
        group by intake_id
    </select>

    <insert id="saveOneIntakeAmountYear" parameterType="com.dy.pipIrrGlobal.pojoSt.StIntakeAmountYear">
        <!--@mbg.generated-->
        insert into st_intake_amount_year (
        id,
        intake_id,
        year,
        amount
        )
        values (#{id,jdbcType=BIGINT},
        #{intakeId,jdbcType=BIGINT},
        #{year,jdbcType=INTEGER},
        #{amount,jdbcType=FLOAT}
        )
    </insert>

</mapper>