Files
mq-container/internal/metrics/update.go
2018-06-12 16:56:44 +01:00

212 lines
6.0 KiB
Go

/*
© Copyright IBM Corporation 2018
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
// Package metrics contains code to provide metrics for the queue manager
package metrics
import (
"fmt"
"strings"
"time"
"github.com/ibm-messaging/mq-container/internal/logger"
"github.com/ibm-messaging/mq-golang/mqmetric"
)
const (
qmgrLabelValue = mqmetric.QMgrMapKey
requestTimeout = 10
)
var (
startChannel = make(chan bool)
stopChannel = make(chan bool, 2)
requestChannel = make(chan bool)
responseChannel = make(chan map[string]*metricData)
)
type metricData struct {
name string
description string
objectType bool
values map[string]float64
}
// processMetrics processes publications of metric data and handles describe/collect/stop requests
func processMetrics(log *logger.Logger, qmName string) {
var err error
var firstConnect = true
var metrics map[string]*metricData
for {
// Connect to queue manager and discover available metrics
err = doConnect(qmName)
if err == nil {
if firstConnect {
firstConnect = false
startChannel <- true
}
metrics, _ = initialiseMetrics(log)
}
// Now loop until something goes wrong
for err == nil {
// Process publications of metric data
// TODO: If we have a large number of metrics to process, then we could be blocked from responding to stop requests
err = mqmetric.ProcessPublications()
// Handle describe/collect/stop requests
if err == nil {
select {
case collect := <-requestChannel:
if collect {
updateMetrics(metrics)
}
responseChannel <- metrics
case <-stopChannel:
log.Println("Stopping metrics gathering")
mqmetric.EndConnection()
return
case <-time.After(requestTimeout * time.Second):
log.Debugf("Metrics: No requests received within timeout period (%d seconds)", requestTimeout)
}
}
}
log.Errorf("Metrics Error: %s", err.Error())
// Close the connection
mqmetric.EndConnection()
// Handle stop requests
select {
case <-stopChannel:
log.Println("Stopping metrics gathering")
return
case <-time.After(requestTimeout * time.Second):
log.Println("Retrying metrics gathering")
}
}
}
// doConnect connects to the queue manager and discovers available metrics
func doConnect(qmName string) error {
// Set connection configuration
var connConfig mqmetric.ConnectionConfig
connConfig.ClientMode = false
connConfig.UserId = ""
connConfig.Password = ""
// Connect to the queue manager - open the command and dynamic reply queues
err := mqmetric.InitConnectionStats(qmName, "SYSTEM.DEFAULT.MODEL.QUEUE", "", &connConfig)
if err != nil {
return fmt.Errorf("Failed to connect to queue manager %s: %v", qmName, err)
}
// Discover available metrics for the queue manager and subscribe to them
err = mqmetric.DiscoverAndSubscribe("", true, "")
if err != nil {
return fmt.Errorf("Failed to discover and subscribe to metrics: %v", err)
}
return nil
}
// initialiseMetrics sets initial details for all available metrics
func initialiseMetrics(log *logger.Logger) (map[string]*metricData, error) {
metrics := make(map[string]*metricData)
validMetrics := true
metricNamesMap := generateMetricNamesMap()
for _, metricClass := range mqmetric.Metrics.Classes {
for _, metricType := range metricClass.Types {
if !strings.Contains(metricType.ObjectTopic, "%s") {
for _, metricElement := range metricType.Elements {
// Get unique metric key
key := makeKey(metricElement)
// Get metric name from mapping
if metricName, found := metricNamesMap[key]; found {
// Set metric details
metric := metricData{
name: metricName,
description: metricElement.Description,
}
// Add metric
if _, exists := metrics[key]; !exists {
metrics[key] = &metric
} else {
log.Errorf("Metrics Error: Found duplicate metric key %s", key)
validMetrics = false
}
} else {
log.Errorf("Metrics Error: Skipping metric, unexpected key %s", key)
validMetrics = false
}
}
}
}
}
if !validMetrics {
return metrics, fmt.Errorf("Invalid metrics data")
}
return metrics, nil
}
// updateMetrics updates values for all available metrics
func updateMetrics(metrics map[string]*metricData) {
for _, metricClass := range mqmetric.Metrics.Classes {
for _, metricType := range metricClass.Types {
if !strings.Contains(metricType.ObjectTopic, "%s") {
for _, metricElement := range metricType.Elements {
// Unexpected metric elements (with no defined mapping) are handled in 'initialiseMetrics'
// - if any exist, they are logged as errors and skipped (they are not added to the metrics map)
// Therefore we can ignore handling any unexpected metric elements found here
// - this avoids us logging excessive errors, as this function is called frequently
metric, ok := metrics[makeKey(metricElement)]
if ok {
// Clear existing metric values
metric.values = make(map[string]float64)
// Update metric with cached values of publication data
for label, value := range metricElement.Values {
normalisedValue := mqmetric.Normalise(metricElement, label, value)
metric.values[label] = normalisedValue
}
}
// Reset cached values of publication data for this metric
metricElement.Values = make(map[string]int64)
}
}
}
}
}
// makeKey builds a unique key for each metric
func makeKey(metricElement *mqmetric.MonElement) string {
return metricElement.Parent.Parent.Name + "/" + metricElement.Parent.Name + "/" + metricElement.Description
}