Get distinct values of metric











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in my setup I have a java component reading data from YARN manager and exposing results of various jobs as metrics. For example I have a metrics with job duration which just holds duration of last app run. It may look like this:



duration_time_millis{job="probe",app_name="import-results",app_type="MAPREDUCE",status="SUCCEEDED"}

1991392 @1542770979.823

1991392 @1542770994.823

1991392 @1542771009.823

...

265722 @1542781554.823

265722 @1542781569.823

265722 @1542781584.823

...


The thing is I am scraping the expose server every 15s or so, but the jobs runs irregulary once per several hours. That means over past 6 hours I am getting 563x the first value and 520x the second value. As there is only one change in the interval.



Is there a way how to compute avg or stddev only on distinct values? Getting the number of distinct values would also mean better handling in histograms and heatmaps in grafana where count_values does not seem to be a good solution.



Thanks for any help on this!






prometheus prometheus-java







share|improve this question


















  • 1




    You seem to be on the right track with count_values. To get the current number of distinct values for a metric you could use something like count(count_values("hi there stack overflow", up)). I don't think there is currently any Promql function that would do anything like count_values_over_time so there is not a way that I am aware of to be able to calculate avg or avg_over_time based on unique values. Sorry to break it to ya :(
    – wbh1
    Nov 21 at 15:41










  • What a pity. If I check only one time series count_values always returns 1 as there is only one value at a time. And since there is no such function working with range vector, I cannot get much useful data for selected interval. Though I am a bit surprised there is no workaround at least for such simple query.
    – Milano Nicolum
    Nov 22 at 8:51

















up vote
1
down vote

favorite












in my setup I have a java component reading data from YARN manager and exposing results of various jobs as metrics. For example I have a metrics with job duration which just holds duration of last app run. It may look like this:



duration_time_millis{job="probe",app_name="import-results",app_type="MAPREDUCE",status="SUCCEEDED"}

1991392 @1542770979.823

1991392 @1542770994.823

1991392 @1542771009.823

...

265722 @1542781554.823

265722 @1542781569.823

265722 @1542781584.823

...


The thing is I am scraping the expose server every 15s or so, but the jobs runs irregulary once per several hours. That means over past 6 hours I am getting 563x the first value and 520x the second value. As there is only one change in the interval.



Is there a way how to compute avg or stddev only on distinct values? Getting the number of distinct values would also mean better handling in histograms and heatmaps in grafana where count_values does not seem to be a good solution.



Thanks for any help on this!






prometheus prometheus-java







share|improve this question


















  • 1




    You seem to be on the right track with count_values. To get the current number of distinct values for a metric you could use something like count(count_values("hi there stack overflow", up)). I don't think there is currently any Promql function that would do anything like count_values_over_time so there is not a way that I am aware of to be able to calculate avg or avg_over_time based on unique values. Sorry to break it to ya :(
    – wbh1
    Nov 21 at 15:41










  • What a pity. If I check only one time series count_values always returns 1 as there is only one value at a time. And since there is no such function working with range vector, I cannot get much useful data for selected interval. Though I am a bit surprised there is no workaround at least for such simple query.
    – Milano Nicolum
    Nov 22 at 8:51















up vote
1
down vote

favorite









up vote
1
down vote

favorite











in my setup I have a java component reading data from YARN manager and exposing results of various jobs as metrics. For example I have a metrics with job duration which just holds duration of last app run. It may look like this:



duration_time_millis{job="probe",app_name="import-results",app_type="MAPREDUCE",status="SUCCEEDED"}

1991392 @1542770979.823

1991392 @1542770994.823

1991392 @1542771009.823

...

265722 @1542781554.823

265722 @1542781569.823

265722 @1542781584.823

...


The thing is I am scraping the expose server every 15s or so, but the jobs runs irregulary once per several hours. That means over past 6 hours I am getting 563x the first value and 520x the second value. As there is only one change in the interval.



Is there a way how to compute avg or stddev only on distinct values? Getting the number of distinct values would also mean better handling in histograms and heatmaps in grafana where count_values does not seem to be a good solution.



Thanks for any help on this!






prometheus prometheus-java







share|improve this question













in my setup I have a java component reading data from YARN manager and exposing results of various jobs as metrics. For example I have a metrics with job duration which just holds duration of last app run. It may look like this:



duration_time_millis{job="probe",app_name="import-results",app_type="MAPREDUCE",status="SUCCEEDED"}

1991392 @1542770979.823

1991392 @1542770994.823

1991392 @1542771009.823

...

265722 @1542781554.823

265722 @1542781569.823

265722 @1542781584.823

...


The thing is I am scraping the expose server every 15s or so, but the jobs runs irregulary once per several hours. That means over past 6 hours I am getting 563x the first value and 520x the second value. As there is only one change in the interval.



Is there a way how to compute avg or stddev only on distinct values? Getting the number of distinct values would also mean better handling in histograms and heatmaps in grafana where count_values does not seem to be a good solution.



Thanks for any help on this!






prometheus prometheus-java




prometheus prometheus-java






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 21 at 12:30









Milano Nicolum

615




615








  • 1




    You seem to be on the right track with count_values. To get the current number of distinct values for a metric you could use something like count(count_values("hi there stack overflow", up)). I don't think there is currently any Promql function that would do anything like count_values_over_time so there is not a way that I am aware of to be able to calculate avg or avg_over_time based on unique values. Sorry to break it to ya :(
    – wbh1
    Nov 21 at 15:41










  • What a pity. If I check only one time series count_values always returns 1 as there is only one value at a time. And since there is no such function working with range vector, I cannot get much useful data for selected interval. Though I am a bit surprised there is no workaround at least for such simple query.
    – Milano Nicolum
    Nov 22 at 8:51
















  • 1




    You seem to be on the right track with count_values. To get the current number of distinct values for a metric you could use something like count(count_values("hi there stack overflow", up)). I don't think there is currently any Promql function that would do anything like count_values_over_time so there is not a way that I am aware of to be able to calculate avg or avg_over_time based on unique values. Sorry to break it to ya :(
    – wbh1
    Nov 21 at 15:41










  • What a pity. If I check only one time series count_values always returns 1 as there is only one value at a time. And since there is no such function working with range vector, I cannot get much useful data for selected interval. Though I am a bit surprised there is no workaround at least for such simple query.
    – Milano Nicolum
    Nov 22 at 8:51










1




1




You seem to be on the right track with count_values. To get the current number of distinct values for a metric you could use something like count(count_values("hi there stack overflow", up)). I don't think there is currently any Promql function that would do anything like count_values_over_time so there is not a way that I am aware of to be able to calculate avg or avg_over_time based on unique values. Sorry to break it to ya :(
– wbh1
Nov 21 at 15:41




You seem to be on the right track with count_values. To get the current number of distinct values for a metric you could use something like count(count_values("hi there stack overflow", up)). I don't think there is currently any Promql function that would do anything like count_values_over_time so there is not a way that I am aware of to be able to calculate avg or avg_over_time based on unique values. Sorry to break it to ya :(
– wbh1
Nov 21 at 15:41












What a pity. If I check only one time series count_values always returns 1 as there is only one value at a time. And since there is no such function working with range vector, I cannot get much useful data for selected interval. Though I am a bit surprised there is no workaround at least for such simple query.
– Milano Nicolum
Nov 22 at 8:51






What a pity. If I check only one time series count_values always returns 1 as there is only one value at a time. And since there is no such function working with range vector, I cannot get much useful data for selected interval. Though I am a bit surprised there is no workaround at least for such simple query.
– Milano Nicolum
Nov 22 at 8:51



















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