telegraf/plugins/outputs/stackdriver/stackdriver.go

393 lines
10 KiB
Go

package stackdriver
import (
"context"
"fmt"
"hash/fnv"
"log"
"path"
"sort"
"strings"
monitoring "cloud.google.com/go/monitoring/apiv3" // Imports the Stackdriver Monitoring client package.
googlepb "github.com/golang/protobuf/ptypes/timestamp"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/outputs"
metricpb "google.golang.org/genproto/googleapis/api/metric"
monitoredrespb "google.golang.org/genproto/googleapis/api/monitoredres"
monitoringpb "google.golang.org/genproto/googleapis/monitoring/v3"
)
// Stackdriver is the Google Stackdriver config info.
type Stackdriver struct {
Project string
Namespace string
ResourceType string `toml:"resource_type"`
ResourceLabels map[string]string `toml:"resource_labels"`
client *monitoring.MetricClient
}
const (
// QuotaLabelsPerMetricDescriptor is the limit
// to labels (tags) per metric descriptor.
QuotaLabelsPerMetricDescriptor = 10
// QuotaStringLengthForLabelKey is the limit
// to string length for label key.
QuotaStringLengthForLabelKey = 100
// QuotaStringLengthForLabelValue is the limit
// to string length for label value.
QuotaStringLengthForLabelValue = 1024
// StartTime for cumulative metrics.
StartTime = int64(1)
// MaxInt is the max int64 value.
MaxInt = int(^uint(0) >> 1)
errStringPointsOutOfOrder = "One or more of the points specified had an older end time than the most recent point"
errStringPointsTooOld = "Data points cannot be written more than 24h in the past"
errStringPointsTooFrequent = "One or more points were written more frequently than the maximum sampling period configured for the metric"
)
var sampleConfig = `
## GCP Project
project = "erudite-bloom-151019"
## The namespace for the metric descriptor
namespace = "telegraf"
## Custom resource type
# resource_type = "generic_node"
## Additonal resource labels
# [outputs.stackdriver.resource_labels]
# node_id = "$HOSTNAME"
# namespace = "myapp"
# location = "eu-north0"
`
// Connect initiates the primary connection to the GCP project.
func (s *Stackdriver) Connect() error {
if s.Project == "" {
return fmt.Errorf("Project is a required field for stackdriver output")
}
if s.Namespace == "" {
return fmt.Errorf("Namespace is a required field for stackdriver output")
}
if s.ResourceType == "" {
s.ResourceType = "global"
}
if s.ResourceLabels == nil {
s.ResourceLabels = make(map[string]string, 1)
}
s.ResourceLabels["project_id"] = s.Project
if s.client == nil {
ctx := context.Background()
client, err := monitoring.NewMetricClient(ctx)
if err != nil {
return err
}
s.client = client
}
return nil
}
// Sorted returns a copy of the metrics in time ascending order. A copy is
// made to avoid modifying the input metric slice since doing so is not
// allowed.
func sorted(metrics []telegraf.Metric) []telegraf.Metric {
batch := make([]telegraf.Metric, 0, len(metrics))
for i := len(metrics) - 1; i >= 0; i-- {
batch = append(batch, metrics[i])
}
sort.Slice(batch, func(i, j int) bool {
return batch[i].Time().Before(batch[j].Time())
})
return batch
}
type timeSeriesBuckets map[uint64][]*monitoringpb.TimeSeries
func (tsb timeSeriesBuckets) Add(m telegraf.Metric, f *telegraf.Field, ts *monitoringpb.TimeSeries) {
h := fnv.New64a()
h.Write([]byte(m.Name()))
h.Write([]byte{'\n'})
h.Write([]byte(f.Key))
h.Write([]byte{'\n'})
for key, value := range m.Tags() {
h.Write([]byte(key))
h.Write([]byte{'\n'})
h.Write([]byte(value))
h.Write([]byte{'\n'})
}
k := h.Sum64()
s := tsb[k]
s = append(s, ts)
tsb[k] = s
}
// Write the metrics to Google Cloud Stackdriver.
func (s *Stackdriver) Write(metrics []telegraf.Metric) error {
ctx := context.Background()
batch := sorted(metrics)
buckets := make(timeSeriesBuckets)
for _, m := range batch {
for _, f := range m.FieldList() {
value, err := getStackdriverTypedValue(f.Value)
if err != nil {
log.Printf("E! [outputs.stackdriver] get type failed: %s", err)
continue
}
if value == nil {
continue
}
metricKind, err := getStackdriverMetricKind(m.Type())
if err != nil {
log.Printf("E! [outputs.stackdriver] get metric failed: %s", err)
continue
}
timeInterval, err := getStackdriverTimeInterval(metricKind, StartTime, m.Time().Unix())
if err != nil {
log.Printf("E! [outputs.stackdriver] get time interval failed: %s", err)
continue
}
// Prepare an individual data point.
dataPoint := &monitoringpb.Point{
Interval: timeInterval,
Value: value,
}
// Prepare time series.
timeSeries := &monitoringpb.TimeSeries{
Metric: &metricpb.Metric{
Type: path.Join("custom.googleapis.com", s.Namespace, m.Name(), f.Key),
Labels: getStackdriverLabels(m.TagList()),
},
MetricKind: metricKind,
Resource: &monitoredrespb.MonitoredResource{
Type: s.ResourceType,
Labels: s.ResourceLabels,
},
Points: []*monitoringpb.Point{
dataPoint,
},
}
buckets.Add(m, f, timeSeries)
}
}
// process the buckets in order
keys := make([]uint64, 0, len(buckets))
for k := range buckets {
keys = append(keys, k)
}
sort.Slice(keys, func(i, j int) bool { return keys[i] < keys[j] })
for len(buckets) != 0 {
// can send up to 200 time series to stackdriver
timeSeries := make([]*monitoringpb.TimeSeries, 0, 200)
for i := 0; i < len(keys) && len(timeSeries) < cap(timeSeries); i++ {
k := keys[i]
s := buckets[k]
timeSeries = append(timeSeries, s[0])
if len(s) == 1 {
delete(buckets, k)
keys = append(keys[:i], keys[i+1:]...)
i--
continue
}
s = s[1:]
buckets[k] = s
}
// Prepare time series request.
timeSeriesRequest := &monitoringpb.CreateTimeSeriesRequest{
Name: monitoring.MetricProjectPath(s.Project),
TimeSeries: timeSeries,
}
// Create the time series in Stackdriver.
err := s.client.CreateTimeSeries(ctx, timeSeriesRequest)
if err != nil {
if strings.Contains(err.Error(), errStringPointsOutOfOrder) ||
strings.Contains(err.Error(), errStringPointsTooOld) ||
strings.Contains(err.Error(), errStringPointsTooFrequent) {
log.Printf("D! [outputs.stackdriver] unable to write to Stackdriver: %s", err)
return nil
}
log.Printf("E! [outputs.stackdriver] unable to write to Stackdriver: %s", err)
return err
}
}
return nil
}
func getStackdriverTimeInterval(
m metricpb.MetricDescriptor_MetricKind,
start int64,
end int64,
) (*monitoringpb.TimeInterval, error) {
switch m {
case metricpb.MetricDescriptor_GAUGE:
return &monitoringpb.TimeInterval{
EndTime: &googlepb.Timestamp{
Seconds: end,
},
}, nil
case metricpb.MetricDescriptor_CUMULATIVE:
return &monitoringpb.TimeInterval{
StartTime: &googlepb.Timestamp{
Seconds: start,
},
EndTime: &googlepb.Timestamp{
Seconds: end,
},
}, nil
case metricpb.MetricDescriptor_DELTA, metricpb.MetricDescriptor_METRIC_KIND_UNSPECIFIED:
fallthrough
default:
return nil, fmt.Errorf("unsupported metric kind %T", m)
}
}
func getStackdriverMetricKind(vt telegraf.ValueType) (metricpb.MetricDescriptor_MetricKind, error) {
switch vt {
case telegraf.Untyped:
return metricpb.MetricDescriptor_GAUGE, nil
case telegraf.Gauge:
return metricpb.MetricDescriptor_GAUGE, nil
case telegraf.Counter:
return metricpb.MetricDescriptor_CUMULATIVE, nil
case telegraf.Histogram, telegraf.Summary:
fallthrough
default:
return metricpb.MetricDescriptor_METRIC_KIND_UNSPECIFIED, fmt.Errorf("unsupported telegraf value type")
}
}
func getStackdriverTypedValue(value interface{}) (*monitoringpb.TypedValue, error) {
switch v := value.(type) {
case uint64:
if v <= uint64(MaxInt) {
return &monitoringpb.TypedValue{
Value: &monitoringpb.TypedValue_Int64Value{
Int64Value: int64(v),
},
}, nil
}
return &monitoringpb.TypedValue{
Value: &monitoringpb.TypedValue_Int64Value{
Int64Value: int64(MaxInt),
},
}, nil
case int64:
return &monitoringpb.TypedValue{
Value: &monitoringpb.TypedValue_Int64Value{
Int64Value: int64(v),
},
}, nil
case float64:
return &monitoringpb.TypedValue{
Value: &monitoringpb.TypedValue_DoubleValue{
DoubleValue: float64(v),
},
}, nil
case bool:
return &monitoringpb.TypedValue{
Value: &monitoringpb.TypedValue_BoolValue{
BoolValue: bool(v),
},
}, nil
case string:
// String value types are not available for custom metrics
return nil, nil
default:
return nil, fmt.Errorf("value type \"%T\" not supported for stackdriver custom metrics", v)
}
}
func getStackdriverLabels(tags []*telegraf.Tag) map[string]string {
labels := make(map[string]string)
for _, t := range tags {
labels[t.Key] = t.Value
}
for k, v := range labels {
if len(k) > QuotaStringLengthForLabelKey {
log.Printf(
"W! [outputs.stackdriver] removing tag [%s] key exceeds string length for label key [%d]",
k,
QuotaStringLengthForLabelKey,
)
delete(labels, k)
continue
}
if len(v) > QuotaStringLengthForLabelValue {
log.Printf(
"W! [outputs.stackdriver] removing tag [%s] value exceeds string length for label value [%d]",
k,
QuotaStringLengthForLabelValue,
)
delete(labels, k)
continue
}
}
if len(labels) > QuotaLabelsPerMetricDescriptor {
excess := len(labels) - QuotaLabelsPerMetricDescriptor
log.Printf(
"W! [outputs.stackdriver] tag count [%d] exceeds quota for stackdriver labels [%d] removing [%d] random tags",
len(labels),
QuotaLabelsPerMetricDescriptor,
excess,
)
for k := range labels {
if excess == 0 {
break
}
excess--
delete(labels, k)
}
}
return labels
}
// Close will terminate the session to the backend, returning error if an issue arises.
func (s *Stackdriver) Close() error {
return s.client.Close()
}
// SampleConfig returns the formatted sample configuration for the plugin.
func (s *Stackdriver) SampleConfig() string {
return sampleConfig
}
// Description returns the human-readable function definition of the plugin.
func (s *Stackdriver) Description() string {
return "Configuration for Google Cloud Stackdriver to send metrics to"
}
func newStackdriver() *Stackdriver {
return &Stackdriver{}
}
func init() {
outputs.Add("stackdriver", func() telegraf.Output {
return newStackdriver()
})
}