Returns aggregated results for thing data for given thing keys
Param name | Description |
---|---|
thing_keys optional |
Array of sensor_keys Value: Must be an array of any type |
time_grouping optional |
type of time grouping i.e. month/day/hour/minute Value: Must be a String |
time_grouping_value optional |
integer representing value. e.g. if it is 15, and time_grouping is minute, data will be grouped in 15 minute intervals Value: Must be Integer. |
idle_time_required optional |
If idle time is required in the result Value: Must be one of: <code>true</code>, <code>false</code>. |
time_zone optional |
Time zone for calculating data` Value: Must be a String |
from optional |
From Date in format 'yyyy/mm/dd hh:mm:ss' Value: Must be a String |
to optional |
To Date in format 'yyyy/mm/dd hh:mm:ss' Value: Must be a String |
timestamp_format optional |
Format, int or str in which event timestamps should be returned Value: Must be a String |
metrics optional |
List of metric names required in the result. Value: Must be an array of any type |
data_format optional |
Format in which event data should be returned e.g. “array” , “map” Value: Must be a String |
pretty optional |
Return a pretty formatted response if true, Default is false Value: Must be a Boolean |
is_oem optional |
Return thing aggregated data of child thing if is_oem flag is true. Value: Must be a Boolean |
functions optional |
List of functions to be used for aggregation. Valid values are : avg, min, max, sum, count. Note: if avg is selected them and sum and count are also returned Value: Must be an array of any type |
Request data for a thing for a period of 5 hours in Asia/Calcutta time zone. curl -X POST -H "Content-Type:application/json" --header 'X-Auth-Token:IEkmVGHsa4R3cGPw56MkfQ' -d '{"idle_time_required":true,"time_zone":"Asia/Calcutta","thing_keys":["11a6238e445dtd65a45ddfdabd6b8f41dbfetdfd"],"from":"2016/02/01 00:00:00","to":"2016/02/01 05:00:00" }' 'https://api.datonis.io/api/v3/datonis_query/thing_aggregated_data' Returns a summary result and thing wise result. { "summary_result": { "cpu": { "count": 498.0, "sum": 2028.144, "min": 0.046, "max": 7.988, "avg": 4.072578313253012, "idle_time_mins": 42, "total_time_mins": 300 }, "mem": { "count": 498.0, "sum": 124426.342, "min": 100.369, "max": 399.048, "avg": 249.85209236947793, "idle_time_mins": 42, "total_time_mins": 300 } }, "thing_wise_result": { "11a6238e445dtd65a45ddfdabd6b8f41dbfetdfd": { "cpu": { "count": 498.0, "sum": 2028.144, "min": 0.046, "max":...
Request data for a thing for a period of 3 hours in Asia/Calcutta time zone, grouped into hourly buckets. curl -X POST -H "Content-Type:application/json" --header 'X-Auth-Token:IEkmVGHsa4R3cGPw56MkfQ' -d '{"time_grouping":"hour","idle_time_required":true,"time_zone":"Asia/Calcutta","thing_keys":["11a6238e445dtd65a45ddfdabd6b8f41dbfetdfd"],"from":"2016/02/01 10:00:00","to":"2016/02/01 13:00:00" }' 'https://api.datonis.io/api/v3/datonis_query/thing_aggregated_data' Returns a summary result, thing wise result and a hourly time grouped result for the thing. { "summary_result": { "cpu": { "count": 634.0, "sum": 2532.3750000000005, "min": 0.004, "max": 7.996, "avg": 3.9942823343848586, "idle_time_mins": 4, "total_time_mins": 180 }, "mem": { "count": 634.0, "sum": 158742.0, "min": 100.343, "max": 399.703, "avg": 250.38170347003154, "idle_time_mins": 4, "total_time_mins": 180 } }, "thing_wise_result": { "11a6238e445dtd65a45ddfdabd6b8f41dbfetdfd": { "cpu": { "count": 634.0, "sum": 2532.3750000000005, "min": 0.004, ...
Request data for a thing for 10 minute period in UTC time zone, grouped in minutely buckets. curl -X POST -H "Content-Type:application/json" --header 'X-Auth-Token:IEkmVGHsa4R3cGPw56MkfQ' -d '{"time_grouping":"minute","idle_time_required":true,"time_zone":"UTC","thing_keys":["e4aa3e35t675fc57ce81f3dd6e2dcdef492at4f7"],"date_ranges":[{"from":"2015/04/02 17:05:00","to":"2015/04/02 17:15:00"}]}' 'https://api.datonis.io/api/v3/datonis_query/thing_aggregated_data' Returns a summary result, thing wise result and a minutely time grouped result for the thing. { "summary_result": { "cpu": { "count": 32.0, "sum": 113.804, "min": 0.095, "max": 7.894, "avg": 3.556375, "idle_time_mins": 0, "total_time_mins": 10 }, "mem": { "count": 32.0, "sum": 7925.794999999999, "min": 107.754, "max": 399.647, "avg": 247.68109374999997, "idle_time_mins": 0, "total_time_mins": 10 } }, "thing_wise_result": { "11a6238e445dtd65a45ddfdabd6b8f41dbfetdfd": { "cpu": { "count": 32.0, "sum": 113.804, "min": 0.095, "max": 7.894, ...
Request data for a thing for 1 hour for the 'cpu' field only. curl -X POST -H "Content-Type:application/json" --header 'X-Auth-Token:IEkmVGHsa4R3cGPw56MkfQ' -d '{"idle_time_required":true,"time_zone":"Asia/Calcutta","thing_keys":["11a6238e445dtd65a45ddfdabd6b8f41dbfetdfd"],"from":"2016/02/01 10:00:00","to":"2016/02/01 11:00:00", "metrics":["cpu"] }' 'https://api.datonis.io/api/v3/datonis_query/thing_aggregated_data' Returns one hour of aggregated data for 'cpu' field { "summary_result": { "cpu": { "count": 35.0, "sum": 124.828, "min": 0.095, "max": 7.894, "avg": 3.5665142857142857, "idle_time_mins": 0, "total_time_mins": 11 } }, "thing_wise_result": { "11a6238e445dtd65a45ddfdabd6b8f41dbfetdfd": { "cpu": { "count": 35.0, "sum": 124.828, "min": 0.095, "max": 7.894, "avg": 3.5665142857142857, "idle_time_mins": 0, "total_time_mins": 11 } } } }