jinpengyong
2022-01-06 45ece9986a39a01081fab9b224966e1f297d383d
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.moral.mapper.HistoryMinutelyMapper">
 
    <insert id="insertHistoryMinutely">
        insert into
        history_minutely_${yearAndMonth}
        values
        <foreach collection="list" item="map" separator=",">
            (#{map.mac},#{map.time},#{map.json})
        </foreach>
    </insert>
    <update id="createHistoryMinutelyTable">
    CREATE TABLE  IF NOT EXISTS `history_minutely_${yearAndMonth}` (
        `mac` varchar(30) CHARACTER SET latin1 DEFAULT NULL,
        `time` datetime DEFAULT NULL,
        `json` json DEFAULT NULL,
        KEY `_idx_mac` (`mac`) USING BTREE,
        KEY `_idx_time` (`time`) USING BTREE,
        KEY `_idx_mac_time` (`mac`,`time`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
    </update>
 
    <select id="getMinutelySensorData" resultType="java.util.LinkedHashMap">
        SELECT
        h.mac,
        <foreach  collection="sensorKeys" separator="," item="sensorKey">
            <choose >
                <when test="sensorKey=='e23'">
                    ROUND((CASE    WHEN AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))<![CDATA[>]]>0 AND AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI()))<![CDATA[>]]>0
                    THEN ATAN(AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))/AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI())))*180/PI()
                    WHEN AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))>0 AND AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI()))<![CDATA[<]]>0
                    THEN (ATAN(AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))/AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI())))*180/PI())+180
                    WHEN AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))<![CDATA[<]]>0 AND AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI()))<![CDATA[<]]>0
                    THEN (ATAN(AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))/AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI())))*180/PI())+180
                    ELSE (ATAN(AVG(json->'$.e18[0]'*SIN((json->'$.e23[0]'/180)*PI()))/AVG(json->'$.e18[0]'*COS((json->'$.e23[0]'/180)*PI())))*180/PI())+360
                    END),3) AS '${sensorKey}',
                    MIN(json->'$.${sensorKey}[1]') AS 'MIN${sensorKey}',
                    MAX(json->'$.${sensorKey}[2]') AS 'MAX${sensorKey}'
                </when>
                <otherwise>
                    AVG(json->'$.${sensorKey}[0]') AS '${sensorKey}',
                    MIN(json->'$.${sensorKey}[1]') AS 'MIN${sensorKey}',
                    MAX(json->'$.${sensorKey}[2]') AS 'MAX${sensorKey}'
                </otherwise>
            </choose>
        </foreach>
        FROM
        history_minutely_${yearAndMonth} h
        WHERE
        h.time >= #{start}
        AND h.time <![CDATA[<]]> #{end}
        AND    h.mac in
        <foreach collection="macs" open="(" separator="," close=")"
                 item="mac">
            #{mac}
        </foreach>
        group by
        h.mac
    </select>
 
</mapper>