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wanghao
2026-03-02 15:13:07 +08:00
parent 98dc17552d
commit 2c0d684079
54 changed files with 355 additions and 350 deletions
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health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/WatchDeviceMapper.java
+1 -1
View File
@@ -66,7 +66,7 @@ public interface WatchDeviceMapper extends MPJBaseMapper<WatchDevice> {
List<String> selectDeviceUserId(@Param("deptId") String deptId);
@Select(value = "SELECT LEFT(org_code,6) as orgCode, count(1) as medicalCount FROM `watch_device` GROUP BY LEFT(org_code,6)")
@Select(value = "SELECT LEFT(org_code,6) as orgCode, count(1) as medicalCount FROM watch_device GROUP BY LEFT(org_code,6)")
List<JSONObject> getWatchSum();
List<WearCount> selectWearCount(@Param("orgCodeList") List<String> orgCodeList);
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/WatchMapper.java
+12 -12
View File
@@ -16,10 +16,10 @@ import java.util.Map;
@Mapper
public interface WatchMapper {
@Select("SELECT DATEDIFF(NOW(), (SELECT bind_date FROM watch_bind_his WHERE bind_user_id = #{id} ORDER BY bind_date DESC limit 1)) AS days")
@Select("SELECT ROUND(SYSDATE - (SELECT CAST(bind_date AS DATE) FROM watch_bind_his WHERE bind_user_id = #{id} ORDER BY bind_date DESC limit 1)) AS days")
Integer getUseDays(@Param("id") String id);
@Select("select length(nm.status) minutes,DATE_FORMAT(n.data_date,'%Y-%m-%d') dataDate from watch_data_sleep_new_minute nm left join watch_data_sleep_new n on nm.sleep_id = n.id where n.id = ( select id from watch_data_sleep_new WHERE bind_user_id = #{id} order by data_date desc limit 1) and nm.STATUS not like '%55%' limit 1")
@Select("select length(nm.status) minutes,TO_CHAR(n.data_date,'YYYY-MM-DD') dataDate from watch_data_sleep_new_minute nm left join watch_data_sleep_new n on nm.sleep_id = n.id where n.id = ( select id from watch_data_sleep_new WHERE bind_user_id = #{id} order by data_date desc limit 1) and nm.STATUS not like '%55%' limit 1")
WatchDataDTO getDataSleep(@Param("id") String id);
/**
@@ -30,22 +30,22 @@ public interface WatchMapper {
@Select("SELECT long_duration_total minutes, data_date dataDate FROM watch_stat_user_info_day_sleep WHERE user_id = #{id} and long_duration_total > 0 ORDER BY data_date DESC LIMIT 1;")
WatchDataDTO getDataSleepNew(@Param("id") String id);
@Select("SELECT AVG(TIMESTAMPDIFF(MINUTE, d.fall_asleep_time, d.wake_up_time)) AS aveMinute FROM watch_data_sleep_new_day d LEFT JOIN watch_data_sleep_new n ON d.sleep_id = n.id WHERE n.id IN (SELECT id FROM watch_data_sleep_new WHERE bind_user_id = #{id})")
@Select("SELECT AVG(ROUND((CAST(d.wake_up_time AS DATE) - CAST(d.fall_asleep_time AS DATE)) * 24 * 60)) AS aveMinute FROM watch_data_sleep_new_day d LEFT JOIN watch_data_sleep_new n ON d.sleep_id = n.id WHERE n.id IN (SELECT id FROM watch_data_sleep_new WHERE bind_user_id = #{id})")
Double getAverageSleep(@Param("id") String id);
@Select("select MAX(data_value) dataValue,data_date dataDate from watch_data_steps force index(bind_user_id) where bind_user_id = #{id} group by data_date order by data_date desc limit 1")
@Select("select MAX(data_value) dataValue,data_date dataDate from watch_data_steps where bind_user_id = #{id} group by data_date order by data_date desc limit 1")
WatchDataDTO getDataSteps(@Param("id") String id);
@Select("SELECT SUM(data_value) FROM watch_data_distance WHERE bind_user_id = #{id}")
Integer getDataDistance(@Param("id") String id);
@Select("SELECT CAST(data_value as SIGNED) dataValue,data_date dataDate from watch_data_heart_rate where bind_user_id = #{id} order by time_stamp desc limit 1")
@Select("SELECT CAST(data_value as INTEGER) dataValue,data_date dataDate from watch_data_heart_rate where bind_user_id = #{id} order by time_stamp desc limit 1")
WatchDataDTO getHeartRate(@Param("id") String id);
@Select("SELECT CAST(data_value as SIGNED ) dataValue,data_date dataDate from watch_data_spo2 where bind_user_id = #{id} order by time_stamp desc limit 1")
@Select("SELECT CAST(data_value as INTEGER) dataValue,data_date dataDate from watch_data_spo2 where bind_user_id = #{id} order by time_stamp desc limit 1")
WatchDataDTO getDataSpo2(@Param("id") String id);
@Select("select cast(data_value as SIGNED ) dataValue,data_date dataDate from watch_data_stress where bind_user_id = #{id} order by end_time_stamp desc limit 1")
@Select("select cast(data_value as INTEGER) dataValue,data_date dataDate from watch_data_stress where bind_user_id = #{id} order by end_time_stamp desc limit 1")
WatchDataDTO getStress(@Param("id") String id);
@Select("select data_value dataValue,data_date dataDate from watch_data_temperature where bind_user_id = #{id} order by time_stamp desc limit 1")
@@ -54,17 +54,17 @@ public interface WatchMapper {
@Select("SELECT * FROM watch_data_sleep_new_minute WHERE sleep_id IN (SELECT id FROM watch_data_sleep_new WHERE sleep_flag= '1' AND bind_user_id = #{id} AND data_date = #{date})")
List<WatchDataSleepNewMinute> getNewMinuteList(@Param("id") String id, @Param("date") Date date);
@Select("SELECT DISTINCT data_date dateDate FROM watch_data_sleep_new WHERE DATE_FORMAT( data_date, '%Y-%m' ) = DATE_FORMAT(#{date}, '%Y-%m' ) AND bind_user_id = #{id} AND sleep_flag = '1'")
@Select("SELECT DISTINCT data_date dateDate FROM watch_data_sleep_new WHERE TO_CHAR( data_date, 'YYYY-MM' ) = TO_CHAR(#{date}, 'YYYY-MM' ) AND bind_user_id = #{id} AND sleep_flag = '1'")
List<Date> getSleepNewDateList(@Param("id") String id, @Param("date") Date date);
List<Map<String, Object>> selectData(@Param("id") String id, @Param("format") String format, @Param("date") String date);
@Select("select max(data_value) `maxValue`,min(data_value) `minValue`,max(skin_tempera) maxSkinValue,min(skin_tempera) minSkinValue from watch_data_temperature where bind_user_id = #{id} and data_date = #{date}")
@Select("select max(data_value) maxValue,min(data_value) minValue,max(skin_tempera) maxSkinValue,min(skin_tempera) minSkinValue from watch_data_temperature where bind_user_id = #{id} and data_date = #{date}")
Map<String, Object> getMapValue(@Param("id") String id, @Param("date") Date date);
List<Map<String, Object>> getData(@Param("id") String id, @Param("format") String format, @Param("date") String date);
@Select("select max(data_value) `maxValue`,min(data_value) `minValue` from watch_data_heart_rate where bind_user_id = #{id} and data_date = #{date}")
@Select("select max(data_value) maxValue,min(data_value) minValue from watch_data_heart_rate where bind_user_id = #{id} and data_date = #{date}")
Map<String, Object> getMapRate(@Param("id") String id, @Param("date") Date date);
Map<String, Object> getMapRateValue(@Param("id") String id, @Param("date") Date date);
@@ -73,12 +73,12 @@ public interface WatchMapper {
List<Map<String, Object>> getMapDataValueFormat(@Param("id") String id, @Param("date") String date, @Param("format") String format);
@Select("select max(data_value) `maxValue`,min(data_value) `minValue` ,round(avg(data_value)) `avgValue` from watch_data_stress where bind_user_id = #{id} and data_date = #{date}")
@Select("select max(data_value) maxValue,min(data_value) minValue ,round(avg(data_value)) avgValue from watch_data_stress where bind_user_id = #{id} and data_date = #{date}")
Map<String, Object> getMapStress(@Param("id") String id, @Param("date") Date date);
List<Map<String, Object>> getMapStressValueFormat(@Param("id") String id, @Param("date") String date, @Param("format") String format);
@Select("select max(data_value) `maxValue`,min(data_value) `minValue` from watch_data_spo2 where bind_user_id = #{id} and data_date = #{date}")
@Select("select max(data_value) maxValue,min(data_value) minValue from watch_data_spo2 where bind_user_id = #{id} and data_date = #{date}")
Map<String, Object> getMapSpo2(@Param("id") String id, @Param("date") Date date);
@Select("select data_value lastValue from watch_data_spo2 where bind_user_id = #{id} and data_date = #{date} order by time_stamp desc limit 1")
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/WatchUserDataMapper.java
+1 -1
View File
@@ -64,6 +64,6 @@ public interface WatchUserDataMapper extends BaseMapper<WatchUserData> {
* @param watchNo
* @return
*/
@Select("SELECT MAX(data_date) FROM `watch_user_data` where bind_user_id = #{userId} and watch_no = #{watchNo}")
@Select("SELECT MAX(data_date) FROM watch_user_data where bind_user_id = #{userId} and watch_no = #{watchNo}")
Date lastDataDate(@Param("userId") String userId,@Param("watchNo") String watchNo);
}
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/provider/WatchStatisticsProvider.java
+3 -3
View File
@@ -51,7 +51,7 @@ public class WatchStatisticsProvider {
sb.append(orgCodeStr)
.append(" as org_code, event_type, count(distinct bind_user_id) as warning_count ")
.append("from watch_monitor_data ")
.append("where warn_time between date_format(#{start}, '%Y-%m-%d 00:00:00') and date_format(#{end}, '%Y-%m-%d 23:59:59') ")
.append("where warn_time between TRUNC(#{start}) and TRUNC(#{end}) + 1 - 1/86400 ")
.append("and event_type in ('heart_rate','spo2','stress','temperature_anomalies') ");
if (StrUtil.isNotEmpty(filter.getOrgCodeLeaf())) {
sb.append("and org_code like CONCAT(#{orgCodeLeaf},'%')");
@@ -65,11 +65,11 @@ public class WatchStatisticsProvider {
public String wearingDetail() {
return "SELECT " +
" max(wd.bind_user_id) as bind_user_id," +
" max(distinct wbh.bind_date) as bind_date," +
" max(wbh.bind_date) as bind_date," +
" count(distinct wud.data_date) as date_count," +
" wd.watch_no," +
" max(wd.org_code) as watch_org_code," +
" GROUP_CONCAT(distinct wud.data_date order by wud.data_date) as date_list" +
" LISTAGG(wud.data_date, ',') WITHIN GROUP (ORDER BY wud.data_date) as date_list" +
" FROM watch_device wd" +
" LEFT JOIN watch_bind_his wbh" +
" ON wd.watch_no = wbh.watch_no AND wd.bind_user_id = wbh.bind_user_id AND wbh.bind_end_date IS NULL" +
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/xml/WatchDataSleepNewMapper.xml
+2 -2
View File
@@ -55,13 +55,13 @@
</if>
<if test="req.flag!=null and req.flag==3">
<if test="req.dateMonth!=null">
and DATE_FORMAT(wdsn.data_date,'%Y-%m') =DATE_FORMAT(#{req.dateMonth},'%Y-%m')
and TO_CHAR(wdsn.data_date,'YYYY-MM') = TO_CHAR(#{req.dateMonth},'YYYY-MM')
</if>
</if>
<if test="req.flag!=null and req.flag==4">
<if test="req.dateYear!=null">
and year(wdsn.data_date) =#{req.dateYear}
and EXTRACT(YEAR FROM wdsn.data_date) = #{req.dateYear}
</if>
</if>
</where>
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/xml/WatchMapper.xml
+18 -20
View File
@@ -6,7 +6,7 @@
s.data_value stepsValue,
d.data_value distanceValue,
c.data_value calorieValue,
DATE_FORMAT(s.data_date, '%Y-%m-%d') dataDate
TO_CHAR(s.data_date, 'YYYY-MM-DD') dataDate
FROM
watch_data_steps s
LEFT JOIN watch_data_distance d ON s.bind_user_id = d.bind_user_id
@@ -15,7 +15,7 @@
AND s.data_date = c.data_date
WHERE
s.bind_user_id = #{id}
AND DATE_FORMAT(s.data_date, #{format}) = #{date}
AND TO_CHAR(s.data_date, #{format}) = #{date}
ORDER BY
s.data_date ASC
</select>
@@ -29,36 +29,33 @@
watch_data_temperature
WHERE
bind_user_id = #{id}
AND DATE_FORMAT( data_date, #{format}) = #{date}
AND TO_CHAR(data_date, #{format}) = #{date}
ORDER BY
data_date ASC
</select>
<select id="getMapRateValue" resultType="java.util.Map">
SELECT
max( data_value ) `maxValue`,
min( data_value ) `minValue`
max( data_value ) maxValue,
min( data_value ) minValue
FROM
watch_monitor_data
WHERE
event_type = 'heart_rate'
AND data_value != NULL
AND bind_user_id = #{id}
AND data_date BETWEEN (
DATE_SUB(#{date}, INTERVAL WEEKDAY(#{date}) DAY ))
AND (
DATE_SUB(#{date}, INTERVAL WEEKDAY(#{date}) - 6 DAY ))
AND data_date BETWEEN TRUNC(#{date}, 'IW') AND TRUNC(#{date}, 'IW') + 6
</select>
<select id="getMapRateValueFormat" resultType="java.util.Map">
SELECT
max( data_value ) `maxValue`,
min( data_value ) `minValue`
max( data_value ) maxValue,
min( data_value ) minValue
FROM
watch_monitor_data
WHERE
event_type = 'heart_rate'
AND data_value != NULL
AND bind_user_id = #{id}
AND DATE_FORMAT( data_date, #{format} ) = #{date}
AND TO_CHAR(data_date, #{format}) = #{date}
</select>
<select id="getMapDataValueFormat" resultType="java.util.Map">
SELECT
@@ -68,7 +65,7 @@
watch_data_heart_rate
WHERE
bind_user_id = #{id}
AND DATE_FORMAT( data_date, #{format} ) = #{date}
AND TO_CHAR(data_date, #{format}) = #{date}
ORDER BY
time_stamp ASC
</select>
@@ -80,7 +77,7 @@
watch_data_stress
WHERE
bind_user_id = #{id}
AND DATE_FORMAT( data_date, #{format}) = #{date}
AND TO_CHAR(data_date, #{format}) = #{date}
ORDER BY
start_time_stamp DESC
</select>
@@ -92,7 +89,7 @@
watch_data_spo2
WHERE
bind_user_id = #{id}
AND DATE_FORMAT( data_date,#{format}) = #{date}
AND TO_CHAR(data_date, #{format}) = #{date}
ORDER BY
time_stamp DESC
</select>
@@ -109,18 +106,19 @@
WHERE
bind_user_id = #{id}
AND event_type = #{type}
AND DATE_FORMAT( data_date, '%Y-%m' ) = #{date}
AND TO_CHAR(data_date, 'YYYY-MM') = #{date}
ORDER BY
data_date DESC
LIMIT #{startNo}, #{pageSize}
LIMIT #{pageSize} OFFSET #{startNo}
</select>
<select id="getAverageDay" resultType="java.util.Map">
SELECT
CAST( AVG( total_minutes ) AS UNSIGNED ) AS minutes,
ROUND( AVG( total_minutes ) ) AS minutes,
( SELECT COUNT(*) FROM watch_data_sleep_new_day WHERE sleep_id IN ( SELECT id FROM watch_data_sleep_new WHERE
bind_user_id = #{id}) ) AS sum
FROM
( SELECT TIMESTAMPDIFF( MINUTE, fall_asleep_time, wake_up_time ) AS total_minutes FROM watch_data_sleep_new_day
WHERE sleep_id IN ( SELECT id FROM watch_data_sleep_new WHERE bind_user_id = #{id}) ) AS subquery;
( SELECT ROUND((CAST(wake_up_time AS DATE) - CAST(fall_asleep_time AS DATE)) * 24 * 60) AS total_minutes
FROM watch_data_sleep_new_day
WHERE sleep_id IN ( SELECT id FROM watch_data_sleep_new WHERE bind_user_id = #{id}) ) subquery
</select>
</mapper>
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/xml/WatchMonitorDataMapper.xml
+5 -5
View File
@@ -173,7 +173,7 @@
) as day_count,
(select count(0)
from watch_monitor_data
where yearweek(data_date,1) = yearweek(curdate(),1)
where TO_CHAR(data_date,'IYYY-IW') = TO_CHAR(SYSDATE,'IYYY-IW')
<if test="orgCodes != null and orgCodes.size() > 0">
and
<foreach collection="orgCodes" item="orgCode" open="(" close=")" separator=" OR ">
@@ -183,7 +183,7 @@
) as week_count,
(select count(0)
from watch_monitor_data
where date_format(data_date, '%Y-%m') = date_format(curdate(), '%Y-%m')
where TO_CHAR(data_date, 'YYYY-MM') = TO_CHAR(SYSDATE, 'YYYY-MM')
<if test="orgCodes != null and orgCodes.size() > 0">
and
<foreach collection="orgCodes" item="orgCode" open="(" close=")" separator=" OR ">
@@ -195,9 +195,9 @@
</select>
<select id="monitorDayStats" resultType="com.renkang.watch.api.bean.response.MonitorDayStats">
select data_date as date, year(data_date) as year, month(data_date) as month, dayofmonth(data_date) as day, count(0) as count
select data_date as date, EXTRACT(YEAR FROM data_date) as year, EXTRACT(MONTH FROM data_date) as month, EXTRACT(DAY FROM data_date) as day, count(0) as count
from watch_monitor_data
where date_format(data_date, '%Y-%m') = date_format(#{monthDate,jdbcType=DATE}, '%Y-%m')
where TO_CHAR(data_date, 'YYYY-MM') = TO_CHAR(#{monthDate,jdbcType=DATE}, 'YYYY-MM')
<if test="orgCodes != null and orgCodes.size() > 0">
and
<foreach collection="orgCodes" item="orgCode" open="(" close=")" separator=" OR ">
@@ -214,7 +214,7 @@
WHERE
lon_gd IS NOT NULL
AND lat_gd IS NOT NULL
AND ifnull(address_gd, '') = ''
AND NVL(address_gd, '') = ''
limit 100
</select>
</mapper>
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/xml/WatchStatUserInfoDayHeartRateMapper.xml
+124 -146
View File
@@ -6,18 +6,18 @@
SELECT
id as id ,
user_id as userId,
max_value as `maxValue`,
max_value as maxValue,
min_value as minValue,
avg_value as avgValue,
silence_max_value as silenceMaxValue,
silence_avg_value as silenceAvgValue,
silence_min_value as silenceMinValue,
data_date as dataDate,
DATE_FORMAT( data_date, '%m' ) AS dateStr
TO_CHAR( data_date, 'MM' ) AS dateStr
FROM
`watch_stat_user_info_day_heart_rate`
watch_stat_user_info_day_heart_rate
WHERE
YEAR ( data_date )= #{dateYear}
EXTRACT(YEAR FROM data_date) = #{dateYear}
and
user_id=#{userId}
@@ -76,33 +76,33 @@
watch_stat_user_info_day_heart_rate a
LEFT JOIN
(SELECT DISTINCT bind_user_id FROM watch_monitor_data
WHERE warn_time BETWEEN DATE_SUB(CURDATE(), INTERVAL
WHERE warn_time BETWEEN
<choose>
<when test="type == 'day'">0 DAY</when>
<when test="type == 'week'">7 DAY</when>
<when test="type == 'month'">1 MONTH</when>
<when test="type == 'year'">1 YEAR</when>
<otherwise>0 DAY</otherwise>
<when test="type == 'day'">TRUNC(SYSDATE)</when>
<when test="type == 'week'">TRUNC(SYSDATE) - 7</when>
<when test="type == 'month'">ADD_MONTHS(TRUNC(SYSDATE), -1)</when>
<when test="type == 'year'">ADD_MONTHS(TRUNC(SYSDATE), -12)</when>
<otherwise>TRUNC(SYSDATE)</otherwise>
</choose>
) AND CURDATE()
AND SYSDATE
AND event_type = 'heart_rate') b
ON
a.user_id = b.bind_user_id
WHERE
a.data_date BETWEEN DATE_SUB(CURDATE(), INTERVAL
a.data_date BETWEEN
<choose>
<when test="type == 'day'">0 DAY</when>
<when test="type == 'week'">7 DAY</when>
<when test="type == 'month'">1 MONTH</when>
<when test="type == 'year'">1 YEAR</when>
<otherwise>0 DAY</otherwise>
<when test="type == 'day'">TRUNC(SYSDATE)</when>
<when test="type == 'week'">TRUNC(SYSDATE) - 7</when>
<when test="type == 'month'">ADD_MONTHS(TRUNC(SYSDATE), -1)</when>
<when test="type == 'year'">ADD_MONTHS(TRUNC(SYSDATE), -12)</when>
<otherwise>TRUNC(SYSDATE)</otherwise>
</choose>
) AND CURDATE()
AND SYSDATE
<if test="orgCode != null and orgCode != ''">
AND a.org_code like concat('%',#{orgCode},'%')
</if>
GROUP BY
a.user_id;
a.user_id
</select>
<select id="selectSpoDataByOrgCode" parameterType="com.renkang.watch.dto.BigScreenDTO" resultType="com.renkang.watch.vo.WatchDataVo">
@@ -124,33 +124,33 @@
watch_stat_user_info_day_spo2 a
LEFT JOIN
(SELECT DISTINCT bind_user_id FROM watch_monitor_data
WHERE warn_time BETWEEN DATE_SUB(CURDATE(), INTERVAL
WHERE warn_time BETWEEN
<choose>
<when test="type == 'day'">0 DAY</when>
<when test="type == 'week'">7 DAY</when>
<when test="type == 'month'">1 MONTH</when>
<when test="type == 'year'">1 YEAR</when>
<otherwise>0 DAY</otherwise>
<when test="type == 'day'">TRUNC(SYSDATE)</when>
<when test="type == 'week'">TRUNC(SYSDATE) - 7</when>
<when test="type == 'month'">ADD_MONTHS(TRUNC(SYSDATE), -1)</when>
<when test="type == 'year'">ADD_MONTHS(TRUNC(SYSDATE), -12)</when>
<otherwise>TRUNC(SYSDATE)</otherwise>
</choose>
) AND CURDATE()
AND SYSDATE
AND event_type = 'spo') b
ON
a.user_id = b.bind_user_id
WHERE
a.data_date BETWEEN DATE_SUB(CURDATE(), INTERVAL
a.data_date BETWEEN
<choose>
<when test="type == 'day'">0 DAY</when>
<when test="type == 'week'">7 DAY</when>
<when test="type == 'month'">1 MONTH</when>
<when test="type == 'year'">1 YEAR</when>
<otherwise>0 DAY</otherwise>
<when test="type == 'day'">TRUNC(SYSDATE)</when>
<when test="type == 'week'">TRUNC(SYSDATE) - 7</when>
<when test="type == 'month'">ADD_MONTHS(TRUNC(SYSDATE), -1)</when>
<when test="type == 'year'">ADD_MONTHS(TRUNC(SYSDATE), -12)</when>
<otherwise>TRUNC(SYSDATE)</otherwise>
</choose>
) AND CURDATE()
AND SYSDATE
<if test="orgCode != null and orgCode != ''">
AND a.org_code like concat('%',#{orgCode},'%')
</if>
GROUP BY
a.user_id;
a.user_id
</select>
<select id="selectStressDataByOrgCode" resultType="com.renkang.watch.vo.WatchDataVo">
SELECT
@@ -171,33 +171,33 @@
watch_stat_user_info_day_stress a
LEFT JOIN
(SELECT DISTINCT bind_user_id FROM watch_monitor_data
WHERE warn_time BETWEEN DATE_SUB(CURDATE(), INTERVAL
WHERE warn_time BETWEEN
<choose>
<when test="type == 'day'">0 DAY</when>
<when test="type == 'week'">7 DAY</when>
<when test="type == 'month'">1 MONTH</when>
<when test="type == 'year'">1 YEAR</when>
<otherwise>0 DAY</otherwise>
<when test="type == 'day'">TRUNC(SYSDATE)</when>
<when test="type == 'week'">TRUNC(SYSDATE) - 7</when>
<when test="type == 'month'">ADD_MONTHS(TRUNC(SYSDATE), -1)</when>
<when test="type == 'year'">ADD_MONTHS(TRUNC(SYSDATE), -12)</when>
<otherwise>TRUNC(SYSDATE)</otherwise>
</choose>
) AND CURDATE()
AND SYSDATE
AND event_type = 'stress') b
ON
a.user_id = b.bind_user_id
WHERE
a.data_date BETWEEN DATE_SUB(CURDATE(), INTERVAL
a.data_date BETWEEN
<choose>
<when test="type == 'day'">0 DAY</when>
<when test="type == 'week'">7 DAY</when>
<when test="type == 'month'">1 MONTH</when>
<when test="type == 'year'">1 YEAR</when>
<otherwise>0 DAY</otherwise>
<when test="type == 'day'">TRUNC(SYSDATE)</when>
<when test="type == 'week'">TRUNC(SYSDATE) - 7</when>
<when test="type == 'month'">ADD_MONTHS(TRUNC(SYSDATE), -1)</when>
<when test="type == 'year'">ADD_MONTHS(TRUNC(SYSDATE), -12)</when>
<otherwise>TRUNC(SYSDATE)</otherwise>
</choose>
) AND CURDATE()
AND SYSDATE
<if test="orgCode != null and orgCode != ''">
AND a.org_code like concat('%',#{orgCode},'%')
</if>
GROUP BY
a.user_id;
a.user_id
</select>
<select id="selectTempDataByOrgCode" resultType="com.renkang.watch.vo.WatchDataVo">
SELECT
@@ -218,33 +218,33 @@
watch_stat_user_info_day_temp a
LEFT JOIN
(SELECT DISTINCT bind_user_id FROM watch_monitor_data
WHERE warn_time BETWEEN DATE_SUB(CURDATE(), INTERVAL
WHERE warn_time BETWEEN
<choose>
<when test="type == 'day'">0 DAY</when>
<when test="type == 'week'">7 DAY</when>
<when test="type == 'month'">1 MONTH</when>
<when test="type == 'year'">1 YEAR</when>
<otherwise>0 DAY</otherwise>
<when test="type == 'day'">TRUNC(SYSDATE)</when>
<when test="type == 'week'">TRUNC(SYSDATE) - 7</when>
<when test="type == 'month'">ADD_MONTHS(TRUNC(SYSDATE), -1)</when>
<when test="type == 'year'">ADD_MONTHS(TRUNC(SYSDATE), -12)</when>
<otherwise>TRUNC(SYSDATE)</otherwise>
</choose>
) AND CURDATE()
AND SYSDATE
AND event_type = 'temp') b
ON
a.user_id = b.bind_user_id
WHERE
a.data_date BETWEEN DATE_SUB(CURDATE(), INTERVAL
a.data_date BETWEEN
<choose>
<when test="type == 'day'">0 DAY</when>
<when test="type == 'week'">7 DAY</when>
<when test="type == 'month'">1 MONTH</when>
<when test="type == 'year'">1 YEAR</when>
<otherwise>0 DAY</otherwise>
<when test="type == 'day'">TRUNC(SYSDATE)</when>
<when test="type == 'week'">TRUNC(SYSDATE) - 7</when>
<when test="type == 'month'">ADD_MONTHS(TRUNC(SYSDATE), -1)</when>
<when test="type == 'year'">ADD_MONTHS(TRUNC(SYSDATE), -12)</when>
<otherwise>TRUNC(SYSDATE)</otherwise>
</choose>
) AND CURDATE()
AND SYSDATE
<if test="orgCode != null and orgCode != ''">
AND a.org_code like concat('%',#{orgCode},'%')
</if>
GROUP BY
a.user_id;
a.user_id
</select>
<select id="selectSdcDataByOrgCode" resultType="com.renkang.watch.vo.WatchDataVo">
SELECT
@@ -253,42 +253,22 @@
FROM
watch_stat_user_info_day_sdc a
WHERE
a.data_date BETWEEN DATE_SUB(CURDATE(), INTERVAL
a.data_date BETWEEN
<choose>
<when test="type == 'day'">0 DAY</when>
<when test="type == 'week'">7 DAY</when>
<when test="type == 'month'">1 MONTH</when>
<when test="type == 'year'">1 YEAR</when>
<otherwise>0 DAY</otherwise>
<when test="type == 'day'">TRUNC(SYSDATE)</when>
<when test="type == 'week'">TRUNC(SYSDATE) - 7</when>
<when test="type == 'month'">ADD_MONTHS(TRUNC(SYSDATE), -1)</when>
<when test="type == 'year'">ADD_MONTHS(TRUNC(SYSDATE), -12)</when>
<otherwise>TRUNC(SYSDATE)</otherwise>
</choose>
) AND CURDATE()
AND SYSDATE
<if test="orgCode != null and orgCode != ''">
AND a.org_code like concat('%',#{orgCode},'%')
</if>
GROUP BY
a.user_id;
a.user_id
</select>
<select id="selectSleepDataByOrgCode" resultType="com.renkang.watch.vo.BigScreenSleepVo">
<!-- SELECT
data_date,
SUM(long_count) AS long_count,
SUM(long_duration_total) AS long_duration,
SUM(short_count) AS short_count,
SUM(short_duration_total) AS short_duration,
AVG(sleep_avg) AS average_duration,
SUM(long_duration_total) + SUM(short_duration_total) AS sleep_duration,
(COUNT(DISTINCT user_id) * 1440) - (SUM(long_duration_total) + SUM(short_duration_total)) AS awake_duration -->
<!-- SELECT
data_date,
SUM(COALESCE(deep_sleep_times, 0)) AS long_duration,
SUM(COALESCE(light_sleep_times, 0)) AS short_duration,
AVG(COALESCE(deep_sleep_times, 0) + COALESCE(light_sleep_times, 0)) AS average_duration,
AVG(COALESCE(light_sleep_times, 0)) AS avg_short_duration,
AVG(COALESCE(deep_sleep_times, 0)) AS avg_long_duration,
SUM(COALESCE(deep_sleep_times, 0)) + SUM(COALESCE(light_sleep_times, 0)) AS sleep_duration
上面这个是正常按照数据库取值的 但是 说深睡浅睡反了 下面的是反着取值的 待排查问题原因-->
SELECT
data_date,
SUM(COALESCE(light_sleep_times, 0)) AS long_duration,
@@ -300,22 +280,22 @@
FROM
watch_stat_user_info_day_sleep
WHERE
data_date BETWEEN DATE_SUB(CURDATE(), INTERVAL
data_date BETWEEN
<choose>
<when test="type == 'day'">0 DAY</when>
<when test="type == 'week'">7 DAY</when>
<when test="type == 'month'">1 MONTH</when>
<when test="type == 'year'">1 YEAR</when>
<otherwise>0 DAY</otherwise>
<when test="type == 'day'">TRUNC(SYSDATE)</when>
<when test="type == 'week'">TRUNC(SYSDATE) - 7</when>
<when test="type == 'month'">ADD_MONTHS(TRUNC(SYSDATE), -1)</when>
<when test="type == 'year'">ADD_MONTHS(TRUNC(SYSDATE), -12)</when>
<otherwise>TRUNC(SYSDATE)</otherwise>
</choose>
) AND CURDATE()
AND SYSDATE
<if test="orgCode != null and orgCode != ''">
AND org_code like concat('%',#{orgCode},'%')
</if>
GROUP BY
data_date
ORDER BY
data_date DESC;
data_date DESC
</select>
<select id="findUserNewDataByUserIds" resultType="com.renkang.watch.entity.WatchStatUserInfoDayHeartRate">
SELECT
@@ -331,22 +311,21 @@
</foreach>
GROUP BY user_id ) temp
ON wsd.user_id = temp.user_id
AND wsd.data_date = temp.latest_date;
AND wsd.data_date = temp.latest_date
</select>
<!-- 切记 此代码不能直接平移至四合一项目 ,该sql只适用mysql8.0及以上版本 ,四合一项目开发测试环境的mysql版本过低 , 但不影响正式环境-->
<insert id="insertStat">
INSERT INTO watch_stat_user_info_day_heart_rate ( id, user_id, max_value, min_value, avg_value, silence_max_value, silence_min_value, silence_avg_value, last_upload_time, new_value, silence_new_value, data_date, org_code ) (
INSERT INTO watch_stat_user_info_day_heart_rate ( id, user_id, max_value, min_value, avg_value, silence_max_value, silence_min_value, silence_avg_value, last_upload_time, new_value, silence_new_value, data_date, org_code )
SELECT
#{id,jdbcType=VARCHAR},
bind_user_id,
IFNULL( MAX( wd.data_value ), 0 ),
IFNULL( MIN( wd.data_value ), 0 ),
IFNULL( AVG( wd.data_value ), 0 ),
IFNULL( MAX( wd.silence_value ), 0 ),
IFNULL( MIN( wd.silence_value ), 0 ),
IFNULL( AVG( wd.silence_value ), 0 ),
IFNULL(MAX( wd.time_stamp ),NOW()),
NVL( MAX( wd.data_value ), 0 ),
NVL( MIN( wd.data_value ), 0 ),
NVL( AVG( wd.data_value ), 0 ),
NVL( MAX( wd.silence_value ), 0 ),
NVL( MIN( wd.silence_value ), 0 ),
NVL( AVG( wd.silence_value ), 0 ),
NVL(MAX( wd.time_stamp ),SYSDATE),
MAX( CASE WHEN wd.rn = 1 THEN wd.data_value END ),
MAX( CASE WHEN wd.rn = 1 THEN wd.silence_value END ),
data_date,
@@ -354,10 +333,10 @@
FROM
(
SELECT
*,
t.*,
ROW_NUMBER() OVER ( PARTITION BY bind_user_id, data_date ORDER BY time_stamp DESC ) AS rn
FROM
watch_data_heart_rate
watch_data_heart_rate t
WHERE
bind_user_id = #{userId,jdbcType=VARCHAR}
and data_date = #{dataDate,jdbcType=DATE}
@@ -365,44 +344,43 @@
GROUP BY
wd.bind_user_id,
wd.data_date
);
</insert>
<!-- 切记 此代码不能直接平移至四合一项目 ,该sql只适用mysql8.0及以上版本 ,四合一项目开发测试环境的mysql版本过低 , 但不影响正式环境-->
<!-- MySQL 的 UPDATE ... LEFT JOIN ... SET 语法已改写为达梦兼容的 MERGE INTO -->
<update id="updateStat">
UPDATE watch_stat_user_info_day_heart_rate stat
LEFT JOIN (
MERGE INTO watch_stat_user_info_day_heart_rate stat
USING (
SELECT
wd.bind_user_id,
wd.data_date,
IFNULL( MAX( wd.data_value ), 0 ) AS max_value,
IFNULL( MIN( wd.data_value ), 0 ) AS min_value,
IFNULL( AVG( wd.data_value ), 0 ) AS avg_value,
IFNULL( MAX( wd.silence_value ), 0 ) AS silence_max_value,
IFNULL( MIN( wd.silence_value ), 0 ) AS silence_min_value,
IFNULL( AVG( wd.silence_value ), 0 ) AS silence_avg_value,
IFNULL(MAX( wd.time_stamp ),NOW()) AS last_upload_time,
MAX( CASE WHEN wd.rn = 1 THEN wd.data_value END ) AS new_value,
MAX( CASE WHEN wd.rn = 1 THEN wd.silence_value END ) AS silence_new_value
wd.bind_user_id,
wd.data_date,
NVL( MAX( wd.data_value ), 0 ) AS max_value,
NVL( MIN( wd.data_value ), 0 ) AS min_value,
NVL( AVG( wd.data_value ), 0 ) AS avg_value,
NVL( MAX( wd.silence_value ), 0 ) AS silence_max_value,
NVL( MIN( wd.silence_value ), 0 ) AS silence_min_value,
NVL( AVG( wd.silence_value ), 0 ) AS silence_avg_value,
NVL(MAX( wd.time_stamp ),SYSDATE) AS last_upload_time,
MAX( CASE WHEN wd.rn = 1 THEN wd.data_value END ) AS new_value,
MAX( CASE WHEN wd.rn = 1 THEN wd.silence_value END ) AS silence_new_value
FROM
( SELECT *, ROW_NUMBER() OVER ( PARTITION BY bind_user_id, data_date ORDER BY time_stamp DESC ) AS rn FROM watch_data_heart_rate where bind_user_id = #{userId,jdbcType=VARCHAR}
and data_date = #{dataDate,jdbcType=DATE} ) wd
( SELECT t.*, ROW_NUMBER() OVER ( PARTITION BY bind_user_id, data_date ORDER BY time_stamp DESC ) AS rn
FROM watch_data_heart_rate t
WHERE bind_user_id = #{userId,jdbcType=VARCHAR}
AND data_date = #{dataDate,jdbcType=DATE} ) wd
GROUP BY
wd.bind_user_id,
wd.data_date
) DATA ON stat.user_id = DATA.bind_user_id
AND stat.data_date = DATA.data_date
SET stat.max_value = DATA.max_value,
stat.min_value = DATA.min_value,
stat.avg_value = DATA.avg_value,
stat.silence_max_value = DATA.silence_max_value,
stat.silence_min_value = DATA.silence_min_value,
stat.silence_avg_value = DATA.silence_avg_value,
stat.last_upload_time = DATA.last_upload_time,
stat.new_value = DATA.new_value,
stat.silence_new_value = COALESCE ( NULLIF( DATA.silence_new_value, 0 ), stat.silence_new_value ),
stat.org_code = #{orgCode,jdbcType=VARCHAR}
where stat.user_id = #{userId,jdbcType=VARCHAR}
and stat.data_date = #{dataDate,jdbcType=DATE};
wd.bind_user_id,
wd.data_date
) DATA ON (stat.user_id = DATA.bind_user_id AND stat.data_date = DATA.data_date)
WHEN MATCHED THEN UPDATE SET
stat.max_value = DATA.max_value,
stat.min_value = DATA.min_value,
stat.avg_value = DATA.avg_value,
stat.silence_max_value = DATA.silence_max_value,
stat.silence_min_value = DATA.silence_min_value,
stat.silence_avg_value = DATA.silence_avg_value,
stat.last_upload_time = DATA.last_upload_time,
stat.new_value = DATA.new_value,
stat.silence_new_value = COALESCE ( NULLIF( DATA.silence_new_value, 0 ), stat.silence_new_value ),
stat.org_code = #{orgCode,jdbcType=VARCHAR}
</update>
</mapper>
</mapper>
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/xml/WatchStatUserInfoDaySdcMapper.xml
+1 -1
View File
@@ -10,7 +10,7 @@
distance_value as distanceValue,
calorie_value as calorieValue,
data_date as dataDate,
DATE_FORMAT( data_date, '%m' ) AS dateStr
TO_CHAR( data_date, 'MM' ) AS dateStr
FROM
`watch_stat_user_info_day_sdc`
WHERE
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/xml/WatchStatUserInfoDaySleepMapper.xml
+1 -1
View File
@@ -16,7 +16,7 @@
deep_sleep_times as deepSleepTimes,
light_sleep_times as lightSleepTimes,
data_date as dataDate,
DATE_FORMAT( data_date, '%m' ) AS dateStr
TO_CHAR( data_date, 'MM' ) AS dateStr
FROM
`watch_stat_user_info_day_sleep`
WHERE
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/xml/WatchStatUserInfoDaySpo2Mapper.xml
+1 -1
View File
@@ -10,7 +10,7 @@
min_value as minValue,
avg_value as avgValue,
data_date as dataDate,
DATE_FORMAT( data_date, '%m' ) AS dateStr
TO_CHAR( data_date, 'MM' ) AS dateStr
FROM
`watch_stat_user_info_day_spo2`
WHERE
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/xml/WatchStatUserInfoDayStressMapper.xml
+1 -1
View File
@@ -10,7 +10,7 @@
min_value as minValue,
avg_value as avgValue,
data_date as dataDate,
DATE_FORMAT( data_date, '%m' ) AS dateStr
TO_CHAR( data_date, 'MM' ) AS dateStr
FROM
`watch_stat_user_info_day_stress`
WHERE
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/xml/WatchStatUserInfoDayTempMapper.xml
+3 -3
View File
@@ -7,16 +7,16 @@
SELECT
id as id ,
user_id as userId,
max_value as `maxValueB`,
max_value as maxValueB,
min_value as minValueB,
avg_value as avgValueB,
skin_max_value as skinMaxValueB,
skin_min_value as skinMinValueB,
skin_avg_value as skinAvgValueB,
data_date as dataDate,
DATE_FORMAT( data_date, '%m' ) AS dateStr
TO_CHAR( data_date, 'MM' ) AS dateStr
FROM
`watch_stat_user_info_day_temp`
watch_stat_user_info_day_temp
WHERE
YEAR ( data_date )= #{dateYear}
and
health-watch/health-watch-biz/src/main/java/com/renkang/watch/mapper/xml/WatchUserDataMapper.xml
+4 -4
View File
@@ -79,24 +79,24 @@
<select id="distanceMap" resultType="java.util.Map">
select data_value dateValue,
DATE_FORMAT(sdc_date, '%Y-%m-%d') sdcDate
TO_CHAR(sdc_date, 'YYYY-MM-DD') sdcDate
from watch_data_distance
WHERE sdc_date BETWEEN #{date1} AND #{date2}
</select>
<select id="heartRateMap" resultType="java.util.Map">
select data_value dateValue
from watch_data_heart_rate
WHERE DATE_FORMAT(data_date, '%Y-%m-%d') = #{queryDateStr}
WHERE TO_CHAR(data_date, 'YYYY-MM-DD') = #{queryDateStr}
</select>
<select id="spo2Map" resultType="java.util.Map">
select data_value dateValue
from watch_data_spo2
WHERE DATE_FORMAT(data_date, '%Y-%m-%d') = #{queryDateStr}
WHERE TO_CHAR(data_date, 'YYYY-MM-DD') = #{queryDateStr}
</select>
<select id="stressMap" resultType="java.util.Map">
select data_value dateValue
from watch_data_stress
WHERE DATE_FORMAT(data_date, '%Y-%m-%d') = #{queryDateStr}
WHERE TO_CHAR(data_date, 'YYYY-MM-DD') = #{queryDateStr}
</select>
<select id="getUserDataByWeekly" resultType="java.util.Map">
SELECT 'heart_rate' AS metric, AVG(avg_value) AS value