type for metric

[junior tehe]

Hello , 

I want to see a graph which go up and go down in my Prometheus, what type with mtail can i use to do this?

[Jamie Wilkinson]

Use the 'gauge' type, rather than counter.

On Sun., 27 Jan. 2019, 09:28 junior tehe, <junior...@gmail.com> wrote:

Hello , 

I want to see a graph which go up and go down in my Prometheus, what type with mtail can i use to do this?

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[junior tehe]

I did but results are the same

[Jamie Wilkinson]

The type of the metric reported to Prometheus will be different.

What does your program look like, what is the log input, what are you expecting to see and what do you see instead?

[junior tehe]

Hi Jamie, 

Here what my program look like: 

#nginx_request_total

#counter line_counter by request_status_rp

gauge http_request_total_count by le

#counter http_request_total by le,request_status_rp, request_status_crm

gauge line_time

/^(?P<hostname>[0-9\.-]+)( - -)(?P<timestamp> \[\d{2}\/\w{3}\/\d{4}:\d{2}:\d{2}:\d{2} .\d{4}\])(?P<times> .\w{4} .OjotrehnetI\.ihta. HTTP.\d{1}.\d{1}. )(?P<request_status_rp>\d{3})( \d{3} )(.-. )(.Axis.\d{1}.\d{1}. .-..)(?P<request_time_rp>[+-]?([0-9]*[.])?[0-9]+)(. ..)(?P<request_time_crm>[+-]?([0-9]*[.])?[0-9]+)(. .)(?P<request_status_crm>\d{3})(. "." "\d{2,3}.\d{2,3}.\d{2,3}.\d{2,3}:\d{2,4}.)/{

#Here I count request http where request status code are greater than than 200 and less than 399

$request_status_rp>=200 && $request_status_rp<399{

           http_request_total_count["success"]++

}   

   Here I count request http where request status code are greater than than 400 and less than 599

  #request status failed

$request_status_rp>=400 && $request_status_rp<599{

        http_request_total_count["Failed_rp"]++

   }

   #request time < 60s

 #request time > 60s

$request_time_rp>=60{

   line_time++

}else{

   line_time=0

}

}

You will find the result in Grafana in attached with file name http

you will find also what I expect to get with file name expect_result

Best regards, 

[junior tehe]

And also Here metrics scrabed by mtail from log application :

# TYPE http_request_total_count gauge
# http_request_total_count defined at log.mtail:4:9-32
http_request_total_count{le="success",prog="log.mtail"} 49139
# http_request_total_count defined at log.mtail:4:9-32
http_request_total_count{le="Failed_rp",prog="log.mtail"} 8
# http_request_total_count defined at log.mtail:4:9-32
http_request_total_count{le="Failed_crm",prog="log.mtail"} 8
# TYPE line_time gauge
# line_time defined at log.mtail:6:9-17
line_time{prog="log.mtail"} 0

[CJohn]

@junior, eventhough your metrics were defined as guages they are actually working as counters (only addition is happening). From the expected graph, I guess you need to plot the rate of requests. If that is the requirement, then register the metrics as counter in mtail. Then in graph, use the "rate()" functon of prometheus.

For ex.

to view the rate of successful requests the query will be like this:

rate(http_request_total_count{le="success",prog="log.mtail"}[5m])

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Thanks,