Hi Sean, Sorry but I don't think that works either in the general case as it relies on knowing in advance that I am going to want to graph this with 1h resolution. In reality, when someone is viewing data for the last 10m I will want to graph with 5s resolution, when they're viewing the last 24h I might want to graph with 10m resolution etc.
I really need the ability to calculate the mean within each series dynamically at a scope that matches the resolution I am graphing over and then to sum across series. At the moment I'm thinking that I might have to move away from InfluxDB to Graphite which provides this kind of flexibility. I don't know anything about the implemention of InfluxDB -- is the kind of capability that I need here something that would fundamentally be hard to add? Thanks! Mat On 26 June 2016 at 22:34, Sean Beckett <[email protected]> wrote: > So you want the sum of the mean? > > First write a continuous query > <https://docs.influxdata.com/influxdb/v0.13/query_language/continuous_queries/> > to calculate the MEAN, as in my prior query, and write it back to a new > measurement. Then you can query that measurement for the sum. > > E.g. > > CREATE CONTINUOUS QUERY foo ON mydb REPEAT EVERY 15m FOR 2h BEGIN > SELECT MEAN(value) INTO sipMessagesMean FROM sipMessages GROUP BY > time(1h), * > END > > Then > > SELECT SUM(mean) FROM sipMessagesMean WHERE time > now() -7d GROUP BY > time(1h), tag_message_type > > On Sat, Jun 25, 2016 at 4:43 AM, Mat and Helen <[email protected]> > wrote: > >> Thanks Sean. Unfortunately that's not what I need -- I need the TOTAL >> rate that SIP messages are being processed across the deployment. So I >> need to SUM across the nodes. I think your formula gives me the average >> rate per node? >> >> Mat >> >> On 24 June 2016 at 21:17, Sean Beckett <[email protected]> wrote: >> >>> It seems that >>> >>> SELECT MEAN(value) FROM sipMessages WHERE time > now() -7d GROUP BY >>> time(1h), tag_message_type >>> >>> would return what you want. That will give the average of the "value" >>> field per hour, per message_type, but across all nodes. If that isn't what >>> you want, can you clarify why not? >>> >>> On Fri, Jun 24, 2016 at 2:57 AM, <[email protected]> wrote: >>> >>>> I've hit an issue that I think, sadly, is going to prevent us from >>>> deploying InfluxDB. The following is an example of this issue, but in >>>> reality it manifests in different ways in many of our use cases. >>>> >>>> I have a set of nodes each reporting the rate at which differnet SIP >>>> messages are being received (in terms of messages per s) >>>> >>>> timestamp | tag_node | tag_message_type | value >>>> --------------------------------------------------- >>>> | node1 | INVITE | 1728 >>>> | node1 | BYE | 1051 >>>> | node2 | INVITE | 1521 >>>> | node2 | BYE | 1241 >>>> >>>> Each node reports writes these stats to InfluxDB roughly every 5s. >>>> >>>> I want to draw charts showing the total rate of different types of SIP >>>> messages being processed across my deployment, split by message_type. >>>> >>>> Ideally I would do this like so: >>>> >>>> SELECT sum("value") FROM "sipMessages" WHERE WHERE time > now() - 7d >>>> GROUP BY time(1h), "tag_message_type" >>>> >>>> The problem here is that this sums across different values of node, but >>>> also sums multiple points within each series. So the number I get returned >>>> is ~720 times higher than it should be. If I knew that there were always >>>> going to be exactly 720 measurements in each time interval I could divide >>>> by 720, but this 720 is only an approximation. [it is also the case that >>>> using Grafana to draw the graphs this "1h" period changes automatically >>>> based on the period that I'm graphing over] >>>> >>>> What I really need to do is to run an average aggregation within each >>>> series over each GROUP BY time period (so that for each node / message_type >>>> combination I have one data point per time period), and then sum the >>>> results of those aggregations across the different series. >>>> >>>> I don't believe this is possibe though, and I can't see any way to work >>>> around it? >>>> >>>> What I don't understand is why this isn't a critical issue for lots of >>>> users as this seems like a very standard use case. Is there a reason that >>>> other users are able to avoid this issue? >>>> >>>> Would adding this capability (to do per series aggregation within >>>> "GROUP BY time" intervals) be technically difficult? >>>> >>>> -- >>>> Remember to include the InfluxDB version number with all issue reports >>>> --- >>>> You received this message because you are subscribed to the Google >>>> Groups "InfluxDB" group. >>>> To unsubscribe from this group and stop receiving emails from it, send >>>> an email to [email protected]. >>>> To post to this group, send email to [email protected]. >>>> Visit this group at https://groups.google.com/group/influxdb. >>>> To view this discussion on the web visit >>>> https://groups.google.com/d/msgid/influxdb/c7be9920-759c-49e5-a23f-a4800c18b979%40googlegroups.com >>>> . >>>> For more options, visit https://groups.google.com/d/optout. >>>> >>> >>> >>> >>> -- >>> Sean Beckett >>> Director of Support and Professional Services >>> InfluxDB >>> >>> -- >>> Remember to include the InfluxDB version number with all issue reports >>> --- >>> You received this message because you are subscribed to a topic in the >>> Google Groups "InfluxDB" group. >>> To unsubscribe from this topic, visit >>> https://groups.google.com/d/topic/influxdb/uXdYy9JA6_E/unsubscribe. >>> To unsubscribe from this group and all its topics, send an email to >>> [email protected]. >>> To post to this group, send email to [email protected]. >>> Visit this group at https://groups.google.com/group/influxdb. >>> To view this discussion on the web visit >>> https://groups.google.com/d/msgid/influxdb/CALGqCvPvaBsKuruQ5j1mXtftTo70R7LjYm%2BTNq43QBwCRtzwZA%40mail.gmail.com >>> <https://groups.google.com/d/msgid/influxdb/CALGqCvPvaBsKuruQ5j1mXtftTo70R7LjYm%2BTNq43QBwCRtzwZA%40mail.gmail.com?utm_medium=email&utm_source=footer> >>> . >>> >>> For more options, visit https://groups.google.com/d/optout. >>> >> >> -- >> Remember to include the InfluxDB version number with all issue reports >> --- >> You received this message because you are subscribed to the Google Groups >> "InfluxDB" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected]. >> To post to this group, send email to [email protected]. >> Visit this group at https://groups.google.com/group/influxdb. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/influxdb/CAKyPxTQQsnLyC%3DV_KOJTdRvSA9n1fNtGwm7v63TmH7mScy0YBw%40mail.gmail.com >> <https://groups.google.com/d/msgid/influxdb/CAKyPxTQQsnLyC%3DV_KOJTdRvSA9n1fNtGwm7v63TmH7mScy0YBw%40mail.gmail.com?utm_medium=email&utm_source=footer> >> . >> >> For more options, visit https://groups.google.com/d/optout. >> > > > > -- > Sean Beckett > Director of Support and Professional Services > InfluxDB > > -- > Remember to include the InfluxDB version number with all issue reports > --- > You received this message because you are subscribed to a topic in the > Google Groups "InfluxDB" group. > To unsubscribe from this topic, visit > https://groups.google.com/d/topic/influxdb/uXdYy9JA6_E/unsubscribe. > To unsubscribe from this group and all its topics, send an email to > [email protected]. > To post to this group, send email to [email protected]. > Visit this group at https://groups.google.com/group/influxdb. > To view this discussion on the web visit > https://groups.google.com/d/msgid/influxdb/CALGqCvPvTOgZb2mmwPrXZYrnEBETeTh%3DRwq3f6pPmJ4hc4RiBA%40mail.gmail.com > <https://groups.google.com/d/msgid/influxdb/CALGqCvPvTOgZb2mmwPrXZYrnEBETeTh%3DRwq3f6pPmJ4hc4RiBA%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > > For more options, visit https://groups.google.com/d/optout. > -- Remember to include the InfluxDB version number with all issue reports --- You received this message because you are subscribed to the Google Groups "InfluxDB" group. 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