How Can I Efficiently Parse Prometheus Data Using the expfmt Package in Go?

Parse Prometheus Data Effectively with expfmt

Parsing Prometheus data can be a challenging task, but with the right tools, it can be a breeze. In this article, we will explore how to parse Prometheus data effectively using the expfmt package.

Prometheus provides an Exposition Format (EBNF syntax) to represent metrics. To decode and encode this format, the Prometheus authors have created the expfmt package, which offers a convenient way to work with Prometheus data in Go.

Sample Input

Let's consider the following Prometheus data as an example:

# HELP net_conntrack_dialer_conn_attempted_total
# TYPE net_conntrack_dialer_conn_attempted_total untyped
net_conntrack_dialer_conn_attempted_total{dialer_name="federate",instance="localhost:9090",job="prometheus"} 1 1608520832877

Using expfmt

To parse the above data using expfmt, you can follow these steps:

1. Import the expfmt package:

import "github.com/prometheus/common/expfmt"

2. Create a function to parse the data:

func parseMF(path string) (map[string]*dto.MetricFamily, error) {
    reader, err := os.Open(path)
    if err != nil {
        return nil, err
    }

    var parser expfmt.TextParser
    mf, err := parser.TextToMetricFamilies(reader)
    if err != nil {
        return nil, err
    }
    return mf, nil
}

3. Parse the input data:

mf, err := parseMF("/path/to/prometheus_data")
if err != nil {
    log.Fatal(err)
}

4. Iterate through the parsed data:

for k, v := range mf {
    fmt.Println("KEY:", k)
    fmt.Println("VAL:", v)
}

Sample Output

Running the above code would produce the following output:

KEY:  net_conntrack_dialer_conn_attempted_total
VAL:  name:"net_conntrack_dialer_conn_attempted_total" type:UNTYPED metric:<label:<name:"dialer_name" value:"federate" > label:<name:"instance" value:"localhost:9090" > label:<name:"job" value:"prometheus" > untyped:<value:1 > timestamp_ms:1608520832877 >

Conclusion

By using the expfmt package, you can effectively parse Prometheus data and gain control over each piece of information to format it in a way that suits your needs. So, next time you need to work with Prometheus data in Go, reach for expfmt to make your development tasks effortless.

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