Update Collector example
It now uses the new WrapWith function instead of ConstLabels. Describe is now implemented via DescribeByCollect. Signed-off-by: beorn7 <beorn@soundcloud.com>
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@ -81,6 +81,8 @@ type Collector interface {
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// it might even get registered as an unchecked Collecter (cf. the Register
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// method of the Registerer interface). Hence, only use this shortcut
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// implementation of Describe if you are certain to fulfill the contract.
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//
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// The Collector example demonstrates a use of DescribeByCollect.
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func DescribeByCollect(c Collector, descs chan<- *Desc) {
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metrics := make(chan Metric)
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go func() {
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@ -17,18 +17,18 @@ import "github.com/prometheus/client_golang/prometheus"
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// ClusterManager is an example for a system that might have been built without
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// Prometheus in mind. It models a central manager of jobs running in a
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// cluster. To turn it into something that collects Prometheus metrics, we
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// simply add the two methods required for the Collector interface.
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// cluster. Thus, we implement a custom Collector called
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// ClusterManagerCollector, which collects information from a ClusterManager
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// using its provided methods and turns them into Prometheus Metrics for
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// collection.
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//
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// An additional challenge is that multiple instances of the ClusterManager are
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// run within the same binary, each in charge of a different zone. We need to
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// make use of ConstLabels to be able to register each ClusterManager instance
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// with Prometheus.
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// make use of wrapping Registerers to be able to register each
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// ClusterManagerCollector instance with Prometheus.
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type ClusterManager struct {
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Zone string
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OOMCountDesc *prometheus.Desc
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RAMUsageDesc *prometheus.Desc
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// ... many more fields
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// Contains many more fields not listed in this example.
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}
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// ReallyExpensiveAssessmentOfTheSystemState is a mock for the data gathering a
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@ -50,10 +50,30 @@ func (c *ClusterManager) ReallyExpensiveAssessmentOfTheSystemState() (
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return
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}
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// Describe simply sends the two Descs in the struct to the channel.
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func (c *ClusterManager) Describe(ch chan<- *prometheus.Desc) {
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ch <- c.OOMCountDesc
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ch <- c.RAMUsageDesc
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// ClusterManagerCollector implements the Collector interface.
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type ClusterManagerCollector struct {
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ClusterManager *ClusterManager
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}
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// Descriptors used by the ClusterManagerCollector below.
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var (
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oomCountDesc = prometheus.NewDesc(
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"clustermanager_oom_crashes_total",
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"Number of OOM crashes.",
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[]string{"host"}, nil,
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)
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ramUsageDesc = prometheus.NewDesc(
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"clustermanager_ram_usage_bytes",
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"RAM usage as reported to the cluster manager.",
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[]string{"host"}, nil,
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)
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)
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// Describe is implemented with DescribeByCollect. That's possible because the
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// Collect method will always return the same two metrics with the same two
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// descriptors.
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func (cc ClusterManagerCollector) Describe(ch chan<- *prometheus.Desc) {
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prometheus.DescribeByCollect(cc, ch)
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}
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// Collect first triggers the ReallyExpensiveAssessmentOfTheSystemState. Then it
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@ -61,11 +81,11 @@ func (c *ClusterManager) Describe(ch chan<- *prometheus.Desc) {
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//
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// Note that Collect could be called concurrently, so we depend on
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// ReallyExpensiveAssessmentOfTheSystemState to be concurrency-safe.
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func (c *ClusterManager) Collect(ch chan<- prometheus.Metric) {
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oomCountByHost, ramUsageByHost := c.ReallyExpensiveAssessmentOfTheSystemState()
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func (cc ClusterManagerCollector) Collect(ch chan<- prometheus.Metric) {
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oomCountByHost, ramUsageByHost := cc.ClusterManager.ReallyExpensiveAssessmentOfTheSystemState()
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for host, oomCount := range oomCountByHost {
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ch <- prometheus.MustNewConstMetric(
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c.OOMCountDesc,
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oomCountDesc,
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prometheus.CounterValue,
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float64(oomCount),
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host,
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@ -73,7 +93,7 @@ func (c *ClusterManager) Collect(ch chan<- prometheus.Metric) {
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}
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for host, ramUsage := range ramUsageByHost {
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ch <- prometheus.MustNewConstMetric(
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c.RAMUsageDesc,
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ramUsageDesc,
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prometheus.GaugeValue,
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ramUsage,
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host,
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@ -81,38 +101,27 @@ func (c *ClusterManager) Collect(ch chan<- prometheus.Metric) {
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}
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}
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// NewClusterManager creates the two Descs OOMCountDesc and RAMUsageDesc. Note
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// that the zone is set as a ConstLabel. (It's different in each instance of the
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// ClusterManager, but constant over the lifetime of an instance.) Then there is
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// a variable label "host", since we want to partition the collected metrics by
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// host. Since all Descs created in this way are consistent across instances,
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// with a guaranteed distinction by the "zone" label, we can register different
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// ClusterManager instances with the same registry.
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func NewClusterManager(zone string) *ClusterManager {
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return &ClusterManager{
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// NewClusterManager first creates a Prometheus-ignorant ClusterManager
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// instance. Then, it creates a ClusterManagerCollector for the just created
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// ClusterManager. Finally, it registers the ClusterManagerCollector with a
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// wrapping Registerer that adds the zone as a label. In this way, the metrics
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// collected by different ClusterManagerCollectors do not collide.
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func NewClusterManager(zone string, reg prometheus.Registerer) *ClusterManager {
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c := &ClusterManager{
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Zone: zone,
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OOMCountDesc: prometheus.NewDesc(
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"clustermanager_oom_crashes_total",
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"Number of OOM crashes.",
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[]string{"host"},
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prometheus.Labels{"zone": zone},
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),
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RAMUsageDesc: prometheus.NewDesc(
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"clustermanager_ram_usage_bytes",
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"RAM usage as reported to the cluster manager.",
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[]string{"host"},
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prometheus.Labels{"zone": zone},
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),
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}
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cc := ClusterManagerCollector{ClusterManager: c}
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prometheus.WrapWith(prometheus.Labels{"zone": zone}, reg).MustRegister(cc)
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return c
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}
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func ExampleCollector() {
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workerDB := NewClusterManager("db")
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workerCA := NewClusterManager("ca")
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// Since we are dealing with custom Collector implementations, it might
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// be a good idea to try it out with a pedantic registry.
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reg := prometheus.NewPedanticRegistry()
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reg.MustRegister(workerDB)
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reg.MustRegister(workerCA)
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// Construct cluster managers. In real code, we would assign them to
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// variables to then do something with them.
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NewClusterManager("db", reg)
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NewClusterManager("ca", reg)
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}
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@ -30,6 +30,8 @@ import (
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//
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// WrapWith provides a way to add fixed labels to a subset of Collectors. It
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// should not be used to add fixed labels to all metrics exposed.
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//
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// The Collector example demonstrates a use of WrapWith.
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func WrapWith(labels Labels, reg Registerer) Registerer {
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return &wrappingRegisterer{
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wrappedRegisterer: reg,
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