select id, iot_device_id, stake_mark, direction, timestamp, traffic_volume from dc_traffic_survey_data and iot_device_id = #{iotDeviceId} and stake_mark = #{stakeMark} and direction = #{direction} and traffic_volume = #{trafficVolume} and DATE_FORMAT(timestamp,'%Y') = DATE_FORMAT(#{thisTime},'%Y') and DATE_FORMAT(timestamp,'%Y-%m') = DATE_FORMAT(#{thisTime},'%Y-%m') and DATE_FORMAT(timestamp,'%Y-%m-%d') = DATE_FORMAT(#{thisTime},'%Y-%m-%d') where id = #{id} SELECT * FROM `dc_device` where device_type = '11' and iot_device_id is not null SELECT iot_device_id,stake_mark,direction,HOUR(`timestamp`) times,SUM(traffic_volume) trafficVolume, SUM(traffic_number_of_in_and_small) + SUM(bus_traffic_volume) bus, SUM(traffic_volume_of_small_trucks) + SUM(medium_truck_traffic_volume) + SUM(large_truck_traffic_volume) + SUM(extra_large_trucks_traffic_volume) goodsCar FROM `dc_traffic_survey_data` where DATE_FORMAT(`timestamp`,'%Y-%m-%d') = DATE_FORMAT(#{timestamp},'%Y-%m-%d') GROUP BY iot_device_id,direction,times SELECT iot_device_id,stake_mark,direction,DAY(`timestamp`) times,SUM(traffic_volume) trafficVolume, SUM(traffic_number_of_in_and_small) + SUM(bus_traffic_volume) bus, SUM(traffic_volume_of_small_trucks) + SUM(medium_truck_traffic_volume) + SUM(large_truck_traffic_volume) + SUM(extra_large_trucks_traffic_volume) goodsCar FROM `dc_traffic_survey_data` where DATE_FORMAT(`timestamp`,'%Y-%m') = DATE_FORMAT(#{timestamp},'%Y-%m') GROUP BY iot_device_id,direction,times SELECT iot_device_id,stake_mark,direction,MONTH(`timestamp`) times,SUM(traffic_volume) trafficVolume, SUM(traffic_number_of_in_and_small) + SUM(bus_traffic_volume) bus, SUM(traffic_volume_of_small_trucks) + SUM(medium_truck_traffic_volume) + SUM(large_truck_traffic_volume) + SUM(extra_large_trucks_traffic_volume) goodsCar FROM `dc_traffic_survey_data` where DATE_FORMAT(`timestamp`,'%Y') = DATE_FORMAT(#{timestamp},'%Y') GROUP BY iot_device_id,direction,times SELECT iot_device_id,stake_mark,direction,DATE_FORMAT(`timestamp`, '%m-%d') times, SUM(traffic_volume) trafficVolume, SUM(traffic_number_of_in_and_small) + SUM(bus_traffic_volume) bus, SUM(traffic_volume_of_small_trucks) + SUM(medium_truck_traffic_volume) + SUM(large_truck_traffic_volume) + SUM(extra_large_trucks_traffic_volume) goodsCar FROM `dc_traffic_survey_data` where DATE_FORMAT(`timestamp`,'%Y-%m-%d') >= DATE_FORMAT(#{timestamp},'%Y-%m-%d') and DATE_FORMAT(`timestamp`,'%Y-%m-%d') <= DATE_FORMAT(#{endTime},'%Y-%m-%d') GROUP BY iot_device_id,direction,times select date_format(`timestamp`, '%Y-%m-%d %H') date_format(`timestamp`, '%Y-%m-%d') date_format(`timestamp`, '%Y-%m') date_format(`timestamp`, '%Y-%m-%d') time,direction, sum(traffic_volume) trafficVolume , sum(traffic_number_of_in_and_small) trafficNumberOfInAndSmall, sum(bus_traffic_volume) busTrafficVolume, sum(traffic_volume_of_small_trucks) trafficVolumeOfSmallTrucks, sum(medium_truck_traffic_volume) mediumTruckTrafficVolume, sum(large_truck_traffic_volume) largeTruckTrafficVolume, sum(extra_large_trucks_traffic_volume) extraLargeTrucksTrafficVolume, sum(container_truck_traffic_volume) containerTruckTrafficVolume, sum(motorcycle_traffic_volume) motorcycleTrafficVolume, sum(tractor_traffic_volume) tractorTrafficVolume FROM `dc_traffic_survey_data` and iot_device_id = #{iotDeviceId} and DATE_FORMAT(`timestamp`,'%Y-%m-%d') = DATE_FORMAT(#{date},'%Y-%m-%d') and DATE_FORMAT(`timestamp`,'%Y-%m') = DATE_FORMAT(#{date},'%Y-%m') and DATE_FORMAT(`timestamp`,'%Y') = DATE_FORMAT(#{date},'%Y') and DATE_FORMAT(`timestamp`,'%Y-%m-%d') >= DATE_FORMAT(#{startTime},'%Y-%m-%d') and DATE_FORMAT(`timestamp`,'%Y-%m-%d') <= DATE_FORMAT(#{endTime},'%Y-%m-%d') GROUP BY time ,direction order by time select *, ROUND( ( t1.inAndSmallAverageVehicleSpeed + t1.averageSpeedOfBus + t1.smallTrucksAverageVehicleSpeed + t1.averageSpeedOfMediumSizeTrucks + t1.averageSpeedOfLargeTrucks + t1.averageSpeedOfExtraLargeTrucks + t1.averageSpeedOfContainerTruck + t1.averageSpeedOfMotorcycle + t1.averageSpeedOfTractor ) / NULLIF( CASE WHEN t1.inAndSmallAverageVehicleSpeed = 0 THEN 0 ELSE 1 END + CASE WHEN t1.averageSpeedOfBus = 0 THEN 0 ELSE 1 END + CASE WHEN t1.smallTrucksAverageVehicleSpeed = 0 THEN 0 ELSE 1 END + CASE WHEN t1.averageSpeedOfMediumSizeTrucks = 0 THEN 0 ELSE 1 END + CASE WHEN t1.averageSpeedOfLargeTrucks = 0 THEN 0 ELSE 1 END + CASE WHEN t1.averageSpeedOfExtraLargeTrucks = 0 THEN 0 ELSE 1 END + CASE WHEN t1.averageSpeedOfContainerTruck = 0 THEN 0 ELSE 1 END + CASE WHEN t1.averageSpeedOfMotorcycle = 0 THEN 0 ELSE 1 END + CASE WHEN t1.averageSpeedOfTractor = 0 THEN 0 ELSE 1 END, 0 ) ,0) AS avgSpeed from (select direction, date_format(`timestamp`, '%Y-%m-%d %H') date_format(`timestamp`, '%Y-%m-%d') date_format(`timestamp`, '%Y-%m') date_format(`timestamp`, '%Y-%m-%d') time, ROUND(IFNULL(AVG(NULLIF(in_and_small_average_vehicle_speed, 0)),0), 0) AS inAndSmallAverageVehicleSpeed, ROUND(IFNULL(AVG(NULLIF(average_speed_of_bus, 0)),0), 0) AS averageSpeedOfBus, ROUND(IFNULL(AVG(NULLIF(small_trucks_average_vehicle_speed, 0)),0), 0) AS smallTrucksAverageVehicleSpeed, ROUND(IFNULL(AVG(NULLIF(average_speed_of_medium_size_trucks, 0)),0), 0) AS averageSpeedOfMediumSizeTrucks, ROUND(IFNULL(AVG(NULLIF(average_speed_of_large_trucks, 0)),0), 0) AS averageSpeedOfLargeTrucks, ROUND(IFNULL(AVG(NULLIF(average_speed_of_extra_large_trucks, 0)),0), 0) AS averageSpeedOfExtraLargeTrucks, ROUND(IFNULL(AVG(NULLIF(average_speed_of_container_truck, 0)),0), 0) AS averageSpeedOfContainerTruck, ROUND(IFNULL(AVG(NULLIF(average_speed_of_motorcycle, 0)),0), 0) AS averageSpeedOfMotorcycle, ROUND(IFNULL(AVG(NULLIF(average_speed_of_tractor, 0)),0), 0) AS averageSpeedOfTractor FROM `dc_traffic_survey_data` and iot_device_id = #{iotDeviceId} and DATE_FORMAT(`timestamp`,'%Y-%m-%d') = DATE_FORMAT(#{date},'%Y-%m-%d') and DATE_FORMAT(`timestamp`,'%Y-%m') = DATE_FORMAT(#{date},'%Y-%m') and DATE_FORMAT(`timestamp`,'%Y') = DATE_FORMAT(#{date},'%Y') and DATE_FORMAT(`timestamp`,'%Y-%m-%d') >= DATE_FORMAT(#{startTime},'%Y-%m-%d') and DATE_FORMAT(`timestamp`,'%Y-%m-%d') <= DATE_FORMAT(#{endTime},'%Y-%m-%d') GROUP BY time ,direction ) t1 SELECT * FROM `dc_device` where device_type = '11' and iot_device_id = #{iotDeviceId} select * from dc_traffic_survey_data and iot_device_id = #{iotDeviceId} and direction = #{direction} and `timestamp` BETWEEN #{startTime} and #{endTime} insert into dc_traffic_survey_data iot_device_id, stake_mark, direction, timestamp, traffic_volume, #{iotDeviceId}, #{stakeMark}, #{direction}, #{timestamp}, #{trafficVolume}, INSERT INTO dc_traffic_survey_data ( iot_device_id, stake_mark, direction, `timestamp`, traffic_volume, following_percentage, time_occupancy_rate, average_headway, traffic_number_of_in_and_small, in_and_small_average_vehicle_speed, bus_traffic_volume, average_speed_of_bus, traffic_volume_of_small_trucks, small_trucks_average_vehicle_speed, medium_truck_traffic_volume, average_speed_of_medium_size_trucks, large_truck_traffic_volume, average_speed_of_large_trucks, average_speed_of_extra_large_trucks, extra_large_trucks_traffic_volume, container_truck_traffic_volume, average_speed_of_container_truck, motorcycle_traffic_volume, average_speed_of_motorcycle, tractor_traffic_volume, average_speed_of_tractor ) VALUES ( #{dcTrafficSurveyData.iotDeviceId}, #{dcTrafficSurveyData.stakeMark}, #{dcTrafficSurveyData.direction}, #{dcTrafficSurveyData.timestamp}, #{dcTrafficSurveyData.trafficVolume}, #{dcTrafficSurveyData.followingPercentage}, #{dcTrafficSurveyData.timeOccupancyRate}, #{dcTrafficSurveyData.averageHeadway}, #{dcTrafficSurveyData.trafficNumberOfInAndSmall}, #{dcTrafficSurveyData.inAndSmallAverageVehicleSpeed}, #{dcTrafficSurveyData.busTrafficVolume}, #{dcTrafficSurveyData.averageSpeedOfBus}, #{dcTrafficSurveyData.trafficVolumeOfSmallTrucks}, #{dcTrafficSurveyData.smallTrucksAverageVehicleSpeed}, #{dcTrafficSurveyData.mediumTruckTrafficVolume}, #{dcTrafficSurveyData.averageSpeedOfMediumSizeTrucks}, #{dcTrafficSurveyData.largeTruckTrafficVolume}, #{dcTrafficSurveyData.averageSpeedOfLargeTrucks}, #{dcTrafficSurveyData.averageSpeedOfExtraLargeTrucks}, #{dcTrafficSurveyData.extraLargeTrucksTrafficVolume}, #{dcTrafficSurveyData.containerTruckTrafficVolume}, #{dcTrafficSurveyData.averageSpeedOfContainerTruck}, #{dcTrafficSurveyData.motorcycleTrafficVolume}, #{dcTrafficSurveyData.averageSpeedOfMotorcycle}, #{dcTrafficSurveyData.tractorTrafficVolume}, #{dcTrafficSurveyData.averageSpeedOfTractor} ) ON DUPLICATE KEY UPDATE stake_mark = VALUES(stake_mark), traffic_volume = VALUES(traffic_volume), following_percentage = VALUES(following_percentage), time_occupancy_rate = VALUES(time_occupancy_rate), average_headway = VALUES(average_headway), traffic_number_of_in_and_small = VALUES(traffic_number_of_in_and_small), in_and_small_average_vehicle_speed = VALUES(in_and_small_average_vehicle_speed), bus_traffic_volume = VALUES(bus_traffic_volume), average_speed_of_bus = VALUES(average_speed_of_bus), traffic_volume_of_small_trucks = VALUES(traffic_volume_of_small_trucks), small_trucks_average_vehicle_speed = VALUES(small_trucks_average_vehicle_speed), medium_truck_traffic_volume = VALUES(medium_truck_traffic_volume), average_speed_of_medium_size_trucks = VALUES(average_speed_of_medium_size_trucks), large_truck_traffic_volume = VALUES(large_truck_traffic_volume), average_speed_of_large_trucks = VALUES(average_speed_of_large_trucks), average_speed_of_extra_large_trucks = VALUES(average_speed_of_extra_large_trucks), extra_large_trucks_traffic_volume = VALUES(extra_large_trucks_traffic_volume), container_truck_traffic_volume = VALUES(container_truck_traffic_volume), average_speed_of_container_truck = VALUES(average_speed_of_container_truck), motorcycle_traffic_volume = VALUES(motorcycle_traffic_volume), average_speed_of_motorcycle = VALUES(average_speed_of_motorcycle), tractor_traffic_volume = VALUES(tractor_traffic_volume), average_speed_of_tractor = VALUES(average_speed_of_tractor) update dc_traffic_survey_data iot_device_id = #{iotDeviceId}, stake_mark = #{stakeMark}, direction = #{direction}, timestamp = #{timestamp}, traffic_volume = #{trafficVolume}, where id = #{id} delete from dc_traffic_survey_data where id = #{id} delete from dc_traffic_survey_data where id in #{id}