优化SQL语句，以提高查询速度

liurunyu

2025-07-29 2132a4073fdd350ddce3fc5f999b305fffae1b01

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

@@ -16,11 +16,13 @@
    <result column="remarks" jdbcType="VARCHAR" property="remarks" />
    <result column="operator" jdbcType="BIGINT" property="operator" />
    <result column="operateDt" jdbcType="TIMESTAMP" property="operatedt" />
    <result column="operate_valid" jdbcType="TINYINT" property="operateValid" />
    <result column="order_no" jdbcType="VARCHAR" property="orderNo" />
  </resultMap>
  <sql id="Base_Column_List">
    <!--@mbg.generated-->
    id, cardId, clientId, money, amount, gift, afterRecharge, paymentId, price, remarks, 
    `operator`, operateDt
    `operator`, operateDt, operate_valid, order_no
  </sql>
  <select id="selectByPrimaryKey" parameterType="java.lang.Long" resultMap="BaseResultMap">
    <!--@mbg.generated-->
@@ -34,21 +36,26 @@
    delete from se_recharge_history
    where id = #{id,jdbcType=BIGINT}
  </delete>
  <insert id="insert" keyColumn="id" keyProperty="id" parameterType="com.dy.pipIrrGlobal.pojoSe.SeRechargeHistory" useGeneratedKeys="true">
  <insert id="insert" parameterType="com.dy.pipIrrGlobal.pojoSe.SeRechargeHistory">
    <!--@mbg.generated-->
    insert into se_recharge_history (cardId, clientId, money, 
      amount, gift, afterRecharge, 
    insert into se_recharge_history (id, cardId, clientId, 
      money, amount, gift, afterRecharge, 
      paymentId, price, remarks, 
      `operator`, operateDt)
    values (#{cardid,jdbcType=BIGINT}, #{clientid,jdbcType=BIGINT}, #{money,jdbcType=FLOAT}, 
      #{amount,jdbcType=FLOAT}, #{gift,jdbcType=FLOAT}, #{afterrecharge,jdbcType=FLOAT}, 
      `operator`, operateDt, operate_valid, 
      order_no)
    values (#{id,jdbcType=BIGINT}, #{cardid,jdbcType=BIGINT}, #{clientid,jdbcType=BIGINT}, 
      #{money,jdbcType=FLOAT}, #{amount,jdbcType=FLOAT}, #{gift,jdbcType=FLOAT}, #{afterrecharge,jdbcType=FLOAT}, 
      #{paymentid,jdbcType=BIGINT}, #{price,jdbcType=FLOAT}, #{remarks,jdbcType=VARCHAR}, 
      #{operator,jdbcType=BIGINT}, #{operatedt,jdbcType=TIMESTAMP})
      #{operator,jdbcType=BIGINT}, #{operatedt,jdbcType=TIMESTAMP}, #{operateValid,jdbcType=TINYINT}, 
      #{orderNo,jdbcType=VARCHAR})
  </insert>
  <insert id="insertSelective" keyColumn="id" keyProperty="id" parameterType="com.dy.pipIrrGlobal.pojoSe.SeRechargeHistory" useGeneratedKeys="true">
  <insert id="insertSelective" parameterType="com.dy.pipIrrGlobal.pojoSe.SeRechargeHistory">
    <!--@mbg.generated-->
    insert into se_recharge_history
    <trim prefix="(" suffix=")" suffixOverrides=",">
      <if test="id != null">
        id,
      </if>
      <if test="cardid != null">
        cardId,
      </if>
@@ -82,8 +89,17 @@
      <if test="operatedt != null">
        operateDt,
      </if>
      <if test="operateValid != null">
        operate_valid,
      </if>
      <if test="orderNo != null">
        order_no,
      </if>
    </trim>
    <trim prefix="values (" suffix=")" suffixOverrides=",">
      <if test="id != null">
        #{id,jdbcType=BIGINT},
      </if>
      <if test="cardid != null">
        #{cardid,jdbcType=BIGINT},
      </if>
@@ -116,6 +132,12 @@
      </if>
      <if test="operatedt != null">
        #{operatedt,jdbcType=TIMESTAMP},
      </if>
      <if test="operateValid != null">
        #{operateValid,jdbcType=TINYINT},
      </if>
      <if test="orderNo != null">
        #{orderNo,jdbcType=VARCHAR},
      </if>
    </trim>
  </insert>
@@ -156,6 +178,12 @@
      <if test="operatedt != null">
        operateDt = #{operatedt,jdbcType=TIMESTAMP},
      </if>
      <if test="operateValid != null">
        operate_valid = #{operateValid,jdbcType=TINYINT},
      </if>
      <if test="orderNo != null">
        order_no = #{orderNo,jdbcType=VARCHAR},
      </if>
    </set>
    where id = #{id,jdbcType=BIGINT}
  </update>
@@ -172,7 +200,59 @@
      price = #{price,jdbcType=FLOAT},
      remarks = #{remarks,jdbcType=VARCHAR},
      `operator` = #{operator,jdbcType=BIGINT},
      operateDt = #{operatedt,jdbcType=TIMESTAMP}
      operateDt = #{operatedt,jdbcType=TIMESTAMP},
      operate_valid = #{operateValid,jdbcType=TINYINT},
      order_no = #{orderNo,jdbcType=VARCHAR}
    where id = #{id,jdbcType=BIGINT}
  </update>

  <!--依据水卡ID将最后一条无效状态的充值历史记录改为有效-->
  <update id="turnRechargeHistoryValidByCardId">
    UPDATE se_recharge_history
    SET operate_valid = 2
    WHERE id = (
    SELECT id FROM (
    SELECT id
    FROM se_recharge_history
    WHERE operate_valid = 1 AND cardId = #{cardId}
    ORDER BY id DESC
    LIMIT 1) AS subquery
    );
  </update>

  <!--充值机用根据订单号将充值历史记录改为有效-->
  <update id="turnRechargeHistoryValidByOrderNumber">
    UPDATE se_recharge_history
    SET operate_valid = 2
    WHERE operate_valid = 1 AND order_no = #{orderNumber}
  </update>


  <!-- /////////////////////////////////// -->
  <!-- 统计相关                              -->
  <!-- /////////////////////////////////// -->
  <select id="statisticsByIc" resultType="com.dy.pipIrrGlobal.voSt.VoIcRechargeStatistics">
    select clientId as clientId,
    cardId as cardId,
    sum(amount) as amount,
    sum(gift) as gift,
    count(*) as times
    from se_recharge_history
    where operate_valid = 2
    and id <![CDATA[>=]]> #{startId, jdbcType=BIGINT}
    and id <![CDATA[<]]> #{endId, jdbcType=BIGINT}
    group by clientId, cardId
  </select>
  <select id="statisticsByClient" resultType="com.dy.pipIrrGlobal.voSt.VoClientRechargeStatistics">
    select clientId as clientId,
    sum(amount) as amount,
    sum(gift) as gift,
    count(*) as times
    from se_recharge_history
    where operate_valid = 2
    and id <![CDATA[>=]]> #{startId, jdbcType=BIGINT}
    and id <![CDATA[<]]> #{endId, jdbcType=BIGINT}
    group by clientId
  </select>

</mapper>