Documentation ¶
Overview ¶
Package metrics enables to expose a set of metrics and collectors on a given postgres instance
Index ¶
- type ColumnMapping
- type ColumnUsage
- type Mapping
- type MetricMap
- type MetricMapSet
- type QueriesCollector
- func (q QueriesCollector) Collect(ch chan<- prometheus.Metric) error
- func (q QueriesCollector) Describe(ch chan<- *prometheus.Desc)
- func (q *QueriesCollector) InjectUserQueries(defaultQueries UserQueries)
- func (q QueriesCollector) Name() string
- func (q *QueriesCollector) ParseQueries(customQueries []byte) error
- type QueryCollector
- type UserQueries
- type UserQuery
- type VariableSet
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type ColumnMapping ¶
type ColumnMapping struct { Usage ColumnUsage `yaml:"usage"` Description string `yaml:"description"` // Mapping is an optional column mapping for MAPPEDMETRIC Mapping map[string]float64 `yaml:"metric_mapping"` // SupportedVersions are the semantic version ranges which are supported. SupportedVersions string `yaml:"pg_version"` // Name allows overriding the key name when naming the column Name string `yaml:"name"` }
ColumnMapping is a representation of a prometheus descriptor map
func (ColumnMapping) ToMetricMap ¶
func (columnMapping ColumnMapping) ToMetricMap( columnName, namespace string, variableLabels []string, ) MetricMapSet
ToMetricMap transform this query mapping in the metadata for a Prometheus metric. Since a query from the user can result in multiple metrics being generated (histograms are an example of this behavior), we are returning a mapping, which therefore should be collected together
type ColumnUsage ¶
type ColumnUsage string
ColumnUsage represent how a certain column should be used
const ( // DISCARD means that this column should be ignored DISCARD ColumnUsage = "DISCARD" // LABEL means use this column as a label LABEL ColumnUsage = "LABEL" // COUNTER means use this column as a counter COUNTER ColumnUsage = "COUNTER" // GAUGE means use this column as a gauge GAUGE ColumnUsage = "GAUGE" // MAPPEDMETRIC means use this column with the supplied mapping of text values MAPPEDMETRIC ColumnUsage = "MAPPEDMETRIC" // Use this column with the supplied mapping of text values // DURATION means use this column as a text duration (in milliseconds) DURATION ColumnUsage = "DURATION" // HISTOGRAM means use this column as an histogram HISTOGRAM ColumnUsage = "HISTOGRAM" )
type Mapping ¶
type Mapping map[string]ColumnMapping
Mapping decide how a certain field, extracted from the query's result, should be used
type MetricMap ¶
type MetricMap struct { // The name of this metric Name string // Is this metric a label? Label bool // Should metric be discarded during metrics generation? // Labels should be discarded because they are used while generating // names and not values Discard bool // Should metric be treated as a histogram? Histogram bool // Vtype is the prometheus valueType Vtype prometheus.ValueType // Desc is the prometheus descriptor Desc *prometheus.Desc // Conversion is the function to convert a dynamic type into a value suitable // for the exporter Conversion func(interface{}) (float64, bool) `json:"-"` }
MetricMap stores the prometheus metric description which a given column will be mapped to by the collector
type MetricMapSet ¶
MetricMapSet is a set of MetricMap, usually associated to a UserQuery
type QueriesCollector ¶
type QueriesCollector struct {
// contains filtered or unexported fields
}
QueriesCollector is the implementation of PgCollector for a certain collection of custom queries supplied by the user
func NewQueriesCollector ¶
func NewQueriesCollector( name string, instance *postgres.Instance, defaultDBName string, ) *QueriesCollector
NewQueriesCollector creates a new PgCollector working over a set of custom queries supplied by the user
func (QueriesCollector) Collect ¶
func (q QueriesCollector) Collect(ch chan<- prometheus.Metric) error
Collect loads data from the actual PostgreSQL instance
func (QueriesCollector) Describe ¶
func (q QueriesCollector) Describe(ch chan<- *prometheus.Desc)
Describe implements the prometheus.Collector and defines the metrics with return
func (*QueriesCollector) InjectUserQueries ¶
func (q *QueriesCollector) InjectUserQueries(defaultQueries UserQueries)
InjectUserQueries injects the passed queries
func (QueriesCollector) Name ¶
func (q QueriesCollector) Name() string
Name returns the name of this collector, as supplied by the user in the configMap
func (*QueriesCollector) ParseQueries ¶
func (q *QueriesCollector) ParseQueries(customQueries []byte) error
ParseQueries parses a YAML file containing custom queries and add it to the set of gathered one
type QueryCollector ¶
type QueryCollector struct {
// contains filtered or unexported fields
}
QueryCollector is the implementation of PgCollector for a certain custom query supplied by the user
type UserQueries ¶
UserQueries is a collection of custom queries
func ParseQueries ¶
func ParseQueries(content []byte) (UserQueries, error)
ParseQueries parse a YAML file containing custom queries
type UserQuery ¶
type UserQuery struct { Query string `yaml:"query"` Metrics []Mapping `yaml:"metrics"` Master bool `yaml:"master"` // wokeignore:rule=master Primary bool `yaml:"primary"` CacheSeconds uint64 `yaml:"cache_seconds"` RunOnServer string `yaml:"runonserver"` TargetDatabases []string `yaml:"target_databases"` // Name allows overriding the key name in the metric namespace Name string `yaml:"name"` }
UserQuery represent a query created by the user
func (UserQuery) ToMetricMap ¶
func (userQuery UserQuery) ToMetricMap(namespace string) (result MetricMapSet, variableLabels VariableSet)
ToMetricMap transform this user query in the metadata for a collection of Prometheus metrics, returning the metrics map and the list of variable labels
type VariableSet ¶
type VariableSet []string
VariableSet is a set of strings used as a collection of prometheus labels