<?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.moral.mapper.HistoryMapper">
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<resultMap id="BaseResultMap" type="com.moral.entity.History">
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<result column="mac" jdbcType="VARCHAR" property="mac"/>
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<result column="value" jdbcType="OTHER" property="value"/>
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<result column="time" jdbcType="TIMESTAMP" property="time"/>
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<result column="version" jdbcType="INTEGER" property="version"/>
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</resultMap>
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<insert id="insert" parameterType="com.moral.entity.History">
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insert into history (mac, value, time,
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version)
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values (#{mac,jdbcType=VARCHAR}, #{value,jdbcType=OTHER}, #{time,jdbcType=TIMESTAMP},
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#{version,jdbcType=INTEGER})
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</insert>
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<insert id="insertSelective" parameterType="com.moral.entity.History">
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insert into history
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<trim prefix="(" suffix=")" suffixOverrides=",">
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<if test="mac != null">
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mac,
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</if>
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<if test="value != null">
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value,
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</if>
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<if test="time != null">
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time,
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</if>
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<if test="version != null">
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version,
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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="mac != null">
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#{mac,jdbcType=VARCHAR},
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</if>
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<if test="value != null">
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#{value,jdbcType=OTHER},
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</if>
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<if test="time != null">
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#{time,jdbcType=TIMESTAMP},
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</if>
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<if test="version != null">
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#{version,jdbcType=INTEGER},
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</if>
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</trim>
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</insert>
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<select id="getAvgData" resultType="java.util.Map">
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SELECT
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<foreach collection="sensorKeys" separator="," item="sensorKey">
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AVG(value->'$.${sensorKey}') AS '${sensorKey}'
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</foreach>
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FROM
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history h
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WHERE
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h.time >= #{start}
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AND h.time <![CDATA[<]]> #{end}
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AND h.mac = #{mac}
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</select>
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<select id="getMaxAndMinData" resultType="java.util.Map">
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SELECT
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<foreach collection="sensorKeys" separator="," item="sensorKey">
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max(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'max${sensorKey}',
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MIN(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'min${sensorKey}'
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</foreach>
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FROM
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history h
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WHERE
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h.time >= #{start}
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AND h.time <![CDATA[<]]> #{end}
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AND h.mac = #{mac}
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</select>
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<select id="getMinData" resultType="java.util.Map">
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SELECT
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<foreach collection="sensorKeys" separator="," item="sensorKey">
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MIN(value->'$.${sensorKey}') AS '${sensorKey}'
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</foreach>
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FROM
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history h
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WHERE
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h.time >= #{start}
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AND h.time <![CDATA[<]]> #{end}
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AND h.mac = #{mac}
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</select>
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<select id="getSensorData" resultType="java.util.LinkedHashMap">
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SELECT
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h.mac,
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<foreach collection="sensorKeys" separator="," item="sensorKey">
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<choose >
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<when test="sensorKey=='e23'">
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ROUND((CASE WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))<![CDATA[>]]>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[>]]>0
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THEN ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI()
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WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[<]]>0
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THEN (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+180
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WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))<![CDATA[<]]>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[<]]>0
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THEN (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+180
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ELSE (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+360
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END),3) AS '${sensorKey}',
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MAX(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MAX${sensorKey}',
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MIN(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MIN${sensorKey}'
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</when>
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<otherwise>
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AVG(value->'$.${sensorKey}') AS '${sensorKey}',
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MAX(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MAX${sensorKey}',
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MIN(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MIN${sensorKey}'
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</otherwise>
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</choose>
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</foreach>
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FROM
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history_${yearAndMonthDay} h
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WHERE
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h.time >= #{start}
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AND h.time <![CDATA[<]]> #{end}
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group by
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h.mac
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</select>
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<select id="getSensorDataByMac" resultType="java.util.LinkedHashMap">
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SELECT
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h.mac,
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<foreach collection="sensorKeys" separator="," item="sensorKey">
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<choose >
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<when test="sensorKey=='e23'">
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ROUND((CASE WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))<![CDATA[>]]>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[>]]>0
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THEN ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI()
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WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[<]]>0
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THEN (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+180
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WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))<![CDATA[<]]>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[<]]>0
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THEN (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+180
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ELSE (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+360
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END),3) AS '${sensorKey}',
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MAX(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MAX${sensorKey}',
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MIN(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MIN${sensorKey}'
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</when>
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<otherwise>
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AVG(value->'$.${sensorKey}') AS '${sensorKey}',
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MAX(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MAX${sensorKey}',
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MIN(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MIN${sensorKey}'
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</otherwise>
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</choose>
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</foreach>
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FROM
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history h
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WHERE
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h.time >= #{start}
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AND h.time <![CDATA[<]]> #{end}
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and h.mac in
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<foreach collection="macList" index="index" item="mac" open="(" separator="," close=")">
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#{mac}
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</foreach>
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group by
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h.mac
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</select>
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<select id="getSensorDataByMacOnce" resultType="java.util.LinkedHashMap">
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SELECT
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h.mac,DATE_FORMAT(time,'%Y-%m-%dT%H:%i') time,
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<foreach collection="sensorKeys" separator="," item="sensorKey">
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<choose >
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<when test="sensorKey=='e23'">
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ROUND((CASE WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))<![CDATA[>]]>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[>]]>0
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THEN ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI()
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WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[<]]>0
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THEN (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+180
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WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))<![CDATA[<]]>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[<]]>0
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THEN (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+180
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ELSE (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+360
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END),3) AS '${sensorKey}',
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MAX(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MAX${sensorKey}',
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MIN(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MIN${sensorKey}'
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</when>
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<otherwise>
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AVG(value->'$.${sensorKey}') AS '${sensorKey}',
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MAX(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MAX${sensorKey}',
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MIN(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MIN${sensorKey}'
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</otherwise>
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</choose>
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</foreach>
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FROM
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history h
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WHERE
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h.time >= #{start}
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AND h.time <![CDATA[<]]> #{end}
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and h.mac in
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<foreach collection="macList" index="index" item="mac" open="(" separator="," close=")">
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#{mac}
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</foreach>
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group by
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h.mac,DATE_FORMAT(time,'%Y-%m-%dT%H:%i')
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</select>
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<select id="getSensorDataOnce" resultType="java.util.LinkedHashMap">
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SELECT
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h.mac,DATE_FORMAT(time,'%Y-%m-%dT%H:%i') time,
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<foreach collection="sensorKeys" separator="," item="sensorKey">
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<choose >
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<when test="sensorKey=='e23'">
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ROUND((CASE WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))<![CDATA[>]]>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[>]]>0
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THEN ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI()
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WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[<]]>0
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THEN (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+180
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WHEN AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))<![CDATA[<]]>0 AND AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI()))<![CDATA[<]]>0
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THEN (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+180
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ELSE (ATAN(AVG(value->'$.e18'*SIN((value->'$.e23'/180)*PI()))/AVG(value->'$.e18'*COS((value->'$.e23'/180)*PI())))*180/PI())+360
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END),3) AS '${sensorKey}',
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MAX(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MAX${sensorKey}',
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MIN(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MIN${sensorKey}'
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</when>
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<otherwise>
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AVG(value->'$.${sensorKey}') AS '${sensorKey}',
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MAX(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MAX${sensorKey}',
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MIN(cast(h.value ->'$.${sensorKey}' as decimal(11,3))) AS 'MIN${sensorKey}'
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</otherwise>
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</choose>
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</foreach>
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FROM
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history h
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WHERE
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h.time >= #{start}
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AND h.time <![CDATA[<]]> #{end}
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group by
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h.mac,DATE_FORMAT(time,'%Y-%m-%dT%H:%i')
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</select>
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<select id="selectByMacAndTime" resultType="com.moral.entity.History">
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SELECT *
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from history
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WHERE time = #{time} and mac in
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<foreach collection="macList" index="index" item="mac" open="(" separator="," close=")">
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#{mac}
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</foreach>
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</select>
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<insert id="insertHistorySpecialTable">
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insert into
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history_special(mac, value, time,version)
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SELECT * from history WHERE time>=#{startTime} and time<![CDATA[<]]>#{endTime} and mac in
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<foreach collection="macList" index="index" item="mac" open="(" separator="," close=")">
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#{mac}
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</foreach>
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</insert>
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<delete id="deleteHistoryData" parameterType="java.lang.String">
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delete from history where time < #{oldTime};
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</delete>
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<update id="deletePartition">
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ALTER table history drop PARTITION ${p};
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</update>
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<update id="createHistoryTable" parameterType="String">
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CREATE TABLE history_${yearMonthDay} (
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`mac` varchar(30) DEFAULT NULL,
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`value` json DEFAULT NULL,
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`time` datetime DEFAULT NULL,
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`version` int(11) DEFAULT NULL,
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KEY `_idx_mac_time` (`mac`,`time`) USING BTREE,
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KEY `_idx_mac` (`mac`) USING BTREE,
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KEY `_idx_time` (`time`) USING BTREE
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) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC
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</update>
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<delete id="dropHistoryTable" parameterType="String">
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drop table history_${yearMonthDay}
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</delete>
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</mapper>
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