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Add support for dropwizard input format (#2846)

This commit is contained in:
atzoum 2018-01-09 01:11:36 +02:00 committed by Daniel Nelson
parent 9cfa3b292b
commit 317de40ac4
13 changed files with 1436 additions and 333 deletions
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2
Godeps
View File

@ -72,6 +72,8 @@ github.com/StackExchange/wmi f3e2bae1e0cb5aef83e319133eabfee30013a4a5
github.com/streadway/amqp 63795daa9a446c920826655f26ba31c81c860fd6
github.com/stretchr/objx 1a9d0bb9f541897e62256577b352fdbc1fb4fd94
github.com/stretchr/testify 4d4bfba8f1d1027c4fdbe371823030df51419987
github.com/tidwall/gjson 0623bd8fbdbf97cc62b98d15108832851a658e59
github.com/tidwall/match 173748da739a410c5b0b813b956f89ff94730b4c
github.com/vjeantet/grok d73e972b60935c7fec0b4ffbc904ed39ecaf7efe
github.com/wvanbergen/kafka bc265fedb9ff5b5c5d3c0fdcef4a819b3523d3ee
github.com/wvanbergen/kazoo-go 968957352185472eacb69215fa3dbfcfdbac1096

1
README.md
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@ -256,6 +256,7 @@ formats may be used with input plugins supporting the `data_format` option:
* [Value](./docs/DATA_FORMATS_INPUT.md#value)
* [Nagios](./docs/DATA_FORMATS_INPUT.md#nagios)
* [Collectd](./docs/DATA_FORMATS_INPUT.md#collectd)
* [Dropwizard](./docs/DATA_FORMATS_INPUT.md#dropwizard)
## Processor Plugins

174
docs/DATA_FORMATS_INPUT.md
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@ -8,6 +8,7 @@ Telegraf is able to parse the following input data formats into metrics:
1. [Value](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#value), ie: 45 or "booyah"
1. [Nagios](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#nagios) (exec input only)
1. [Collectd](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#collectd)
1. [Dropwizard](https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#dropwizard)
Telegraf metrics, like InfluxDB
[points](https://docs.influxdata.com/influxdb/v0.10/write_protocols/line/),
@ -479,3 +480,176 @@ You can also change the path to the typesdb or add additional typesdb using
## Path of to TypesDB specifications
collectd_typesdb = ["/usr/share/collectd/types.db"]
```
# Dropwizard:
The dropwizard format can parse the JSON representation of a single dropwizard metric registry. By default, tags are parsed from metric names as if they were actual influxdb line protocol keys (`measurement<,tag_set>`) which can be overriden by defining custom [measurement & tag templates](./DATA_FORMATS_INPUT.md#measurement--tag-templates). All field values are collected as float64 fields.
A typical JSON of a dropwizard metric registry:
```json
{
"version": "3.0.0",
"counters" : {
"measurement,tag1=green" : {
"count" : 1
}
},
"meters" : {
"measurement" : {
"count" : 1,
"m15_rate" : 1.0,
"m1_rate" : 1.0,
"m5_rate" : 1.0,
"mean_rate" : 1.0,
"units" : "events/second"
}
},
"gauges" : {
"measurement" : {
"value" : 1
}
},
"histograms" : {
"measurement" : {
"count" : 1,
"max" : 1.0,
"mean" : 1.0,
"min" : 1.0,
"p50" : 1.0,
"p75" : 1.0,
"p95" : 1.0,
"p98" : 1.0,
"p99" : 1.0,
"p999" : 1.0,
"stddev" : 1.0
}
},
"timers" : {
"measurement" : {
"count" : 1,
"max" : 1.0,
"mean" : 1.0,
"min" : 1.0,
"p50" : 1.0,
"p75" : 1.0,
"p95" : 1.0,
"p98" : 1.0,
"p99" : 1.0,
"p999" : 1.0,
"stddev" : 1.0,
"m15_rate" : 1.0,
"m1_rate" : 1.0,
"m5_rate" : 1.0,
"mean_rate" : 1.0,
"duration_units" : "seconds",
"rate_units" : "calls/second"
}
}
}
```
Would get translated into 4 different measurements:
```
measurement,metric_type=counter,tag1=green count=1
measurement,metric_type=meter count=1,m15_rate=1.0,m1_rate=1.0,m5_rate=1.0,mean_rate=1.0
measurement,metric_type=gauge value=1
measurement,metric_type=histogram count=1,max=1.0,mean=1.0,min=1.0,p50=1.0,p75=1.0,p95=1.0,p98=1.0,p99=1.0,p999=1.0
measurement,metric_type=timer count=1,max=1.0,mean=1.0,min=1.0,p50=1.0,p75=1.0,p95=1.0,p98=1.0,p99=1.0,p999=1.0,stddev=1.0,m15_rate=1.0,m1_rate=1.0,m5_rate=1.0,mean_rate=1.0
```
You may also parse a dropwizard registry from any JSON document which contains a dropwizard registry in some inner field.
Eg. to parse the following JSON document:
```json
{
"time" : "2017-02-22T14:33:03.662+02:00",
"tags" : {
"tag1" : "green",
"tag2" : "yellow"
},
"metrics" : {
"counters" : {
"measurement" : {
"count" : 1
}
},
"meters" : {},
"gauges" : {},
"histograms" : {},
"timers" : {}
}
}
```
and translate it into:
```
measurement,metric_type=counter,tag1=green,tag2=yellow count=1 1487766783662000000
```
you simply need to use the following additional configuration properties:
```toml
dropwizard_metric_registry_path = "metrics"
dropwizard_time_path = "time"
dropwizard_time_format = "2006-01-02T15:04:05Z07:00"
dropwizard_tags_path = "tags"
## tag paths per tag are supported too, eg.
#[inputs.yourinput.dropwizard_tag_paths]
# tag1 = "tags.tag1"
# tag2 = "tags.tag2"
```
For more information about the dropwizard json format see
[here](http://metrics.dropwizard.io/3.1.0/manual/json/).
#### Dropwizard Configuration:
```toml
[[inputs.exec]]
## Commands array
commands = ["curl http://localhost:8080/sys/metrics"]
timeout = "5s"
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "dropwizard"
## Used by the templating engine to join matched values when cardinality is > 1
separator = "_"
## Each template line requires a template pattern. It can have an optional
## filter before the template and separated by spaces. It can also have optional extra
## tags following the template. Multiple tags should be separated by commas and no spaces
## similar to the line protocol format. There can be only one default template.
## Templates support below format:
## 1. filter + template
## 2. filter + template + extra tag(s)
## 3. filter + template with field key
## 4. default template
## By providing an empty template array, templating is disabled and measurements are parsed as influxdb line protocol keys (measurement<,tag_set>)
templates = []
## You may use an appropriate [gjson path](https://github.com/tidwall/gjson#path-syntax)
## to locate the metric registry within the JSON document
# dropwizard_metric_registry_path = "metrics"
## You may use an appropriate [gjson path](https://github.com/tidwall/gjson#path-syntax)
## to locate the default time of the measurements within the JSON document
# dropwizard_time_path = "time"
# dropwizard_time_format = "2006-01-02T15:04:05Z07:00"
## You may use an appropriate [gjson path](https://github.com/tidwall/gjson#path-syntax)
## to locate the tags map within the JSON document
# dropwizard_tags_path = "tags"
## You may even use tag paths per tag
# [inputs.exec.dropwizard_tag_paths]
# tag1 = "tags.tag1"
# tag2 = "tags.tag2"
```

46
internal/config/config.go
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@ -1272,6 +1272,47 @@ func buildParser(name string, tbl *ast.Table) (parsers.Parser, error) {
}
}
if node, ok := tbl.Fields["dropwizard_metric_registry_path"]; ok {
if kv, ok := node.(*ast.KeyValue); ok {
if str, ok := kv.Value.(*ast.String); ok {
c.DropwizardMetricRegistryPath = str.Value
}
}
}
if node, ok := tbl.Fields["dropwizard_time_path"]; ok {
if kv, ok := node.(*ast.KeyValue); ok {
if str, ok := kv.Value.(*ast.String); ok {
c.DropwizardTimePath = str.Value
}
}
}
if node, ok := tbl.Fields["dropwizard_time_format"]; ok {
if kv, ok := node.(*ast.KeyValue); ok {
if str, ok := kv.Value.(*ast.String); ok {
c.DropwizardTimeFormat = str.Value
}
}
}
if node, ok := tbl.Fields["dropwizard_tags_path"]; ok {
if kv, ok := node.(*ast.KeyValue); ok {
if str, ok := kv.Value.(*ast.String); ok {
c.DropwizardTagsPath = str.Value
}
}
}
c.DropwizardTagPathsMap = make(map[string]string)
if node, ok := tbl.Fields["dropwizard_tag_paths"]; ok {
if subtbl, ok := node.(*ast.Table); ok {
for name, val := range subtbl.Fields {
if kv, ok := val.(*ast.KeyValue); ok {
if str, ok := kv.Value.(*ast.String); ok {
c.DropwizardTagPathsMap[name] = str.Value
}
}
}
}
}
c.MetricName = name
delete(tbl.Fields, "data_format")
@ -1282,6 +1323,11 @@ func buildParser(name string, tbl *ast.Table) (parsers.Parser, error) {
delete(tbl.Fields, "collectd_auth_file")
delete(tbl.Fields, "collectd_security_level")
delete(tbl.Fields, "collectd_typesdb")
delete(tbl.Fields, "dropwizard_metric_registry_path")
delete(tbl.Fields, "dropwizard_time_path")
delete(tbl.Fields, "dropwizard_time_format")
delete(tbl.Fields, "dropwizard_tags_path")
delete(tbl.Fields, "dropwizard_tag_paths")
return parsers.NewParser(c)
}

86
internal/templating/engine.go Normal file
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@ -0,0 +1,86 @@
package templating
import (
"sort"
"strings"
)
const (
// DefaultSeparator is the default separation character to use when separating template parts.
DefaultSeparator = "."
)
// Engine uses a Matcher to retrieve the appropriate template and applies the template
// to the input string
type Engine struct {
joiner string
matcher *matcher
}
// Apply extracts the template fields from the given line and returns the measurement
// name, tags and field name
func (e *Engine) Apply(line string) (string, map[string]string, string, error) {
return e.matcher.match(line).Apply(line, e.joiner)
}
// NewEngine creates a new templating engine
func NewEngine(joiner string, defaultTemplate *Template, templates []string) (*Engine, error) {
engine := Engine{
joiner: joiner,
matcher: newMatcher(defaultTemplate),
}
templateSpecs := parseTemplateSpecs(templates)
for _, templateSpec := range templateSpecs {
if err := engine.matcher.addSpec(templateSpec); err != nil {
return nil, err
}
}
return &engine, nil
}
func parseTemplateSpecs(templates []string) templateSpecs {
tmplts := templateSpecs{}
for _, pattern := range templates {
tmplt := templateSpec{
separator: DefaultSeparator,
}
// Format is [separator] [filter] <template> [tag1=value1,tag2=value2]
parts := strings.Fields(pattern)
partsLength := len(parts)
if partsLength < 1 {
// ignore
continue
}
if partsLength == 1 {
tmplt.template = pattern
} else if partsLength == 4 {
tmplt.separator = parts[0]
tmplt.filter = parts[1]
tmplt.template = parts[2]
tmplt.tagstring = parts[3]
} else {
hasTagstring := strings.Contains(parts[partsLength-1], "=")
if hasTagstring {
tmplt.tagstring = parts[partsLength-1]
tmplt.template = parts[partsLength-2]
if partsLength == 3 {
tmplt.filter = parts[0]
}
} else {
tmplt.template = parts[partsLength-1]
if partsLength == 2 {
tmplt.filter = parts[0]
} else { // length == 3
tmplt.separator = parts[0]
tmplt.filter = parts[1]
}
}
}
tmplts = append(tmplts, tmplt)
}
sort.Sort(tmplts)
return tmplts
}

58
internal/templating/matcher.go Normal file
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@ -0,0 +1,58 @@
package templating
import (
"strings"
)
// matcher determines which template should be applied to a given metric
// based on a filter tree.
type matcher struct {
root *node
defaultTemplate *Template
}
// newMatcher creates a new matcher.
func newMatcher(defaultTemplate *Template) *matcher {
return &matcher{
root: &node{},
defaultTemplate: defaultTemplate,
}
}
func (m *matcher) addSpec(tmplt templateSpec) error {
// Parse out the default tags specific to this template
tags := map[string]string{}
if tmplt.tagstring != "" {
for _, kv := range strings.Split(tmplt.tagstring, ",") {
parts := strings.Split(kv, "=")
tags[parts[0]] = parts[1]
}
}
tmpl, err := NewTemplate(tmplt.separator, tmplt.template, tags)
if err != nil {
return err
}
m.add(tmplt.filter, tmpl)
return nil
}
// add inserts the template in the filter tree based the given filter
func (m *matcher) add(filter string, template *Template) {
if filter == "" {
m.defaultTemplate = template
m.root.separator = template.separator
return
}
m.root.insert(filter, template)
}
// match returns the template that matches the given measurement line.
// If no template matches, the default template is returned.
func (m *matcher) match(line string) *Template {
tmpl := m.root.search(line)
if tmpl != nil {
return tmpl
}
return m.defaultTemplate
}

122
internal/templating/node.go Normal file
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@ -0,0 +1,122 @@
package templating
import (
"sort"
"strings"
)
// node is an item in a sorted k-ary tree of filter parts. Each child is sorted by its part value.
// The special value of "*", is always sorted last.
type node struct {
separator string
value string
children nodes
template *Template
}
// insert inserts the given string template into the tree. The filter string is separated
// on the template separator and each part is used as the path in the tree.
func (n *node) insert(filter string, template *Template) {
n.separator = template.separator
n.recursiveInsert(strings.Split(filter, n.separator), template)
}
// recursiveInsert does the actual recursive insertion
func (n *node) recursiveInsert(values []string, template *Template) {
// Add the end, set the template
if len(values) == 0 {
n.template = template
return
}
// See if the the current element already exists in the tree. If so, insert the
// into that sub-tree
for _, v := range n.children {
if v.value == values[0] {
v.recursiveInsert(values[1:], template)
return
}
}
// New element, add it to the tree and sort the children
newNode := &node{value: values[0]}
n.children = append(n.children, newNode)
sort.Sort(&n.children)
// Now insert the rest of the tree into the new element
newNode.recursiveInsert(values[1:], template)
}
// search searches for a template matching the input string
func (n *node) search(line string) *Template {
separator := n.separator
return n.recursiveSearch(strings.Split(line, separator))
}
// recursiveSearch performs the actual recursive search
func (n *node) recursiveSearch(lineParts []string) *Template {
// Nothing to search
if len(lineParts) == 0 || len(n.children) == 0 {
return n.template
}
// If last element is a wildcard, don't include it in this search since it's sorted
// to the end but lexicographically it would not always be and sort.Search assumes
// the slice is sorted.
length := len(n.children)
if n.children[length-1].value == "*" {
length--
}
// Find the index of child with an exact match
i := sort.Search(length, func(i int) bool {
return n.children[i].value >= lineParts[0]
})
// Found an exact match, so search that child sub-tree
if i < len(n.children) && n.children[i].value == lineParts[0] {
return n.children[i].recursiveSearch(lineParts[1:])
}
// Not an exact match, see if we have a wildcard child to search
if n.children[len(n.children)-1].value == "*" {
return n.children[len(n.children)-1].recursiveSearch(lineParts[1:])
}
return n.template
}
// nodes is simply an array of nodes implementing the sorting interface.
type nodes []*node
// Less returns a boolean indicating whether the filter at position j
// is less than the filter at position k. Filters are order by string
// comparison of each component parts. A wildcard value "*" is never
// less than a non-wildcard value.
//
// For example, the filters:
// "*.*"
// "servers.*"
// "servers.localhost"
// "*.localhost"
//
// Would be sorted as:
// "servers.localhost"
// "servers.*"
// "*.localhost"
// "*.*"
func (n *nodes) Less(j, k int) bool {
if (*n)[j].value == "*" && (*n)[k].value != "*" {
return false
}
if (*n)[j].value != "*" && (*n)[k].value == "*" {
return true
}
return (*n)[j].value < (*n)[k].value
}
// Swap swaps two elements of the array
func (n *nodes) Swap(i, j int) { (*n)[i], (*n)[j] = (*n)[j], (*n)[i] }
// Len returns the length of the array
func (n *nodes) Len() int { return len(*n) }

148
internal/templating/template.go Normal file
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@ -0,0 +1,148 @@
package templating
import (
"fmt"
"strings"
)
// Template represents a pattern and tags to map a metric string to a influxdb Point
type Template struct {
separator string
parts []string
defaultTags map[string]string
greedyField bool
greedyMeasurement bool
}
// apply extracts the template fields from the given line and returns the measurement
// name, tags and field name
func (t *Template) Apply(line string, joiner string) (string, map[string]string, string, error) {
fields := strings.Split(line, t.separator)
var (
measurement []string
tags = make(map[string][]string)
field []string
)
// Set any default tags
for k, v := range t.defaultTags {
tags[k] = append(tags[k], v)
}
// See if an invalid combination has been specified in the template:
for _, tag := range t.parts {
if tag == "measurement*" {
t.greedyMeasurement = true
} else if tag == "field*" {
t.greedyField = true
}
}
if t.greedyField && t.greedyMeasurement {
return "", nil, "",
fmt.Errorf("either 'field*' or 'measurement*' can be used in each "+
"template (but not both together): %q",
strings.Join(t.parts, joiner))
}
for i, tag := range t.parts {
if i >= len(fields) {
continue
}
if tag == "" {
continue
}
switch tag {
case "measurement":
measurement = append(measurement, fields[i])
case "field":
field = append(field, fields[i])
case "field*":
field = append(field, fields[i:]...)
break
case "measurement*":
measurement = append(measurement, fields[i:]...)
break
default:
tags[tag] = append(tags[tag], fields[i])
}
}
// Convert to map of strings.
outtags := make(map[string]string)
for k, values := range tags {
outtags[k] = strings.Join(values, joiner)
}
return strings.Join(measurement, joiner), outtags, strings.Join(field, joiner), nil
}
func NewDefaultTemplateWithPattern(pattern string) (*Template, error) {
return NewTemplate(DefaultSeparator, pattern, nil)
}
// NewTemplate returns a new template ensuring it has a measurement
// specified.
func NewTemplate(separator string, pattern string, defaultTags map[string]string) (*Template, error) {
parts := strings.Split(pattern, separator)
hasMeasurement := false
template := &Template{
separator: separator,
parts: parts,
defaultTags: defaultTags,
}
for _, part := range parts {
if strings.HasPrefix(part, "measurement") {
hasMeasurement = true
}
if part == "measurement*" {
template.greedyMeasurement = true
} else if part == "field*" {
template.greedyField = true
}
}
if !hasMeasurement {
return nil, fmt.Errorf("no measurement specified for template. %q", pattern)
}
return template, nil
}
// templateSpec is a template string split in its constituent parts
type templateSpec struct {
separator string
filter string
template string
tagstring string
}
// templateSpecs is simply an array of template specs implementing the sorting interface
type templateSpecs []templateSpec
// Less reports whether the element with
// index j should sort before the element with index k.
func (e templateSpecs) Less(j, k int) bool {
if len(e[j].filter) == 0 && len(e[k].filter) == 0 {
jlength := len(strings.Split(e[j].template, e[j].separator))
klength := len(strings.Split(e[k].template, e[k].separator))
return jlength < klength
}
if len(e[j].filter) == 0 {
return true
}
if len(e[k].filter) == 0 {
return false
}
jlength := len(strings.Split(e[j].template, e[j].separator))
klength := len(strings.Split(e[k].template, e[k].separator))
return jlength < klength
}
// Swap swaps the elements with indexes i and j.
func (e templateSpecs) Swap(i, j int) { e[i], e[j] = e[j], e[i] }
// Len is the number of elements in the collection.
func (e templateSpecs) Len() int { return len(e) }

253
plugins/parsers/dropwizard/parser.go Normal file
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@ -0,0 +1,253 @@
package dropwizard
import (
"bytes"
"encoding/json"
"fmt"
"log"
"strings"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/internal/templating"
"github.com/influxdata/telegraf/metric"
"github.com/tidwall/gjson"
)
// Parser parses json inputs containing dropwizard metrics,
// either top-level or embedded inside a json field.
// This parser is using gjon for retrieving paths within the json file.
type Parser struct {
// an optional json path containing the metric registry object
// if left empty, the whole json object is parsed as a metric registry
MetricRegistryPath string
// an optional json path containing the default time of the metrics
// if left empty, or if cannot be parsed the current processing time is used as the time of the metrics
TimePath string
// time format to use for parsing the time field
// defaults to time.RFC3339
TimeFormat string
// an optional json path pointing to a json object with tag key/value pairs
// takes precedence over TagPathsMap
TagsPath string
// an optional map containing tag names as keys and json paths to retrieve the tag values from as values
// used if TagsPath is empty or doesn't return any tags
TagPathsMap map[string]string
// an optional map of default tags to use for metrics
DefaultTags map[string]string
// templating configuration
Separator string
Templates []string
templateEngine *templating.Engine
}
// Parse parses the input bytes to an array of metrics
func (p *Parser) Parse(buf []byte) ([]telegraf.Metric, error) {
metrics := make([]telegraf.Metric, 0)
metricTime, err := p.parseTime(buf)
if err != nil {
return nil, err
}
dwr, err := p.unmarshalMetrics(buf)
if err != nil {
return nil, err
}
metrics = p.readDWMetrics("counter", dwr["counters"], metrics, metricTime)
metrics = p.readDWMetrics("meter", dwr["meters"], metrics, metricTime)
metrics = p.readDWMetrics("gauge", dwr["gauges"], metrics, metricTime)
metrics = p.readDWMetrics("histogram", dwr["histograms"], metrics, metricTime)
metrics = p.readDWMetrics("timer", dwr["timers"], metrics, metricTime)
jsonTags := p.readTags(buf)
// fill json tags first
if len(jsonTags) > 0 {
for _, m := range metrics {
for k, v := range jsonTags {
// only set the tag if it doesn't already exist:
if !m.HasTag(k) {
m.AddTag(k, v)
}
}
}
}
// fill default tags last
if len(p.DefaultTags) > 0 {
for _, m := range metrics {
for k, v := range p.DefaultTags {
// only set the default tag if it doesn't already exist:
if !m.HasTag(k) {
m.AddTag(k, v)
}
}
}
}
return metrics, nil
}
// InitTemplating initializes the templating support
func (p *Parser) InitTemplating() error {
if len(p.Templates) > 0 {
defaultTemplate, _ := templating.NewDefaultTemplateWithPattern("measurement*")
templateEngine, err := templating.NewEngine(p.Separator, defaultTemplate, p.Templates)
p.templateEngine = templateEngine
return err
}
return nil
}
// ParseLine is not supported by the dropwizard format
func (p *Parser) ParseLine(line string) (telegraf.Metric, error) {
return nil, fmt.Errorf("ParseLine not supported: %s, for data format: dropwizard", line)
}
// SetDefaultTags sets the default tags
func (p *Parser) SetDefaultTags(tags map[string]string) {
p.DefaultTags = tags
}
func (p *Parser) readTags(buf []byte) map[string]string {
if p.TagsPath != "" {
var tagsBytes []byte
tagsResult := gjson.GetBytes(buf, p.TagsPath)
if tagsResult.Index > 0 {
tagsBytes = buf[tagsResult.Index : tagsResult.Index+len(tagsResult.Raw)]
} else {
tagsBytes = []byte(tagsResult.Raw)
}
var tags map[string]string
err := json.Unmarshal(tagsBytes, &tags)
if err != nil {
log.Printf("W! failed to parse tags from JSON path '%s': %s\n", p.TagsPath, err)
} else if len(tags) > 0 {
return tags
}
}
tags := make(map[string]string)
for tagKey, jsonPath := range p.TagPathsMap {
tags[tagKey] = gjson.GetBytes(buf, jsonPath).String()
}
return tags
}
func (p *Parser) parseTime(buf []byte) (time.Time, error) {
if p.TimePath != "" {
timeFormat := p.TimeFormat
if timeFormat == "" {
timeFormat = time.RFC3339
}
timeString := gjson.GetBytes(buf, p.TimePath).String()
if timeString == "" {
err := fmt.Errorf("time not found in JSON path %s", p.TimePath)
return time.Now().UTC(), err
}
t, err := time.Parse(timeFormat, timeString)
if err != nil {
err = fmt.Errorf("time %s cannot be parsed with format %s, %s", timeString, timeFormat, err)
return time.Now().UTC(), err
}
return t.UTC(), nil
}
return time.Now().UTC(), nil
}
func (p *Parser) unmarshalMetrics(buf []byte) (map[string]interface{}, error) {
var registryBytes []byte
if p.MetricRegistryPath != "" {
regResult := gjson.GetBytes(buf, p.MetricRegistryPath)
if regResult.Index > 0 {
registryBytes = buf[regResult.Index : regResult.Index+len(regResult.Raw)]
} else {
registryBytes = []byte(regResult.Raw)
}
if len(registryBytes) == 0 {
err := fmt.Errorf("metric registry not found in JSON path %s", p.MetricRegistryPath)
return nil, err
}
} else {
registryBytes = buf
}
var jsonOut map[string]interface{}
err := json.Unmarshal(registryBytes, &jsonOut)
if err != nil {
err = fmt.Errorf("unable to parse dropwizard metric registry from JSON document, %s", err)
return nil, err
}
return jsonOut, nil
}
func (p *Parser) readDWMetrics(metricType string, dwms interface{}, metrics []telegraf.Metric, time time.Time) []telegraf.Metric {
switch dwmsTyped := dwms.(type) {
case map[string]interface{}:
var metricsBuffer bytes.Buffer
for dwmName, dwmFields := range dwmsTyped {
measurementName := dwmName
tags := make(map[string]string)
fieldPrefix := ""
if p.templateEngine != nil {
measurementName, tags, fieldPrefix, _ = p.templateEngine.Apply(dwmName)
if len(fieldPrefix) > 0 {
fieldPrefix = fmt.Sprintf("%s%s", fieldPrefix, p.Separator)
}
}
tags["metric_type"] = metricType
measurementWithTags := measurementName
for tagName, tagValue := range tags {
tagKeyValue := fmt.Sprintf("%s=%s", tagName, tagValue)
measurementWithTags = fmt.Sprintf("%s,%s", measurementWithTags, tagKeyValue)
}
fields := make([]string, 0)
switch t := dwmFields.(type) {
case map[string]interface{}: // json object
for fieldName, fieldValue := range t {
switch v := fieldValue.(type) {
case float64:
fields = append(fields, fmt.Sprintf("%s%s=%f", fieldPrefix, fieldName, v))
default: // ignore
}
}
default: // ignore
}
metricsBuffer.WriteString(fmt.Sprintf("%s,metric_type=%s ", measurementWithTags, metricType))
metricsBuffer.WriteString(strings.Join(fields, ","))
metricsBuffer.WriteString("\n")
}
newMetrics, err := metric.ParseWithDefaultTime(metricsBuffer.Bytes(), time)
if err != nil {
log.Printf("W! failed to create metric of type '%s': %s\n", metricType, err)
}
return append(metrics, newMetrics...)
default:
return metrics
}
}
func arraymap(vs []string, f func(string) string) []string {
vsm := make([]string, len(vs))
for i, v := range vs {
vsm[i] = f(v)
}
return vsm
}

485
plugins/parsers/dropwizard/parser_test.go Normal file
View File

@ -0,0 +1,485 @@
package dropwizard
import (
"testing"
"github.com/influxdata/telegraf"
"fmt"
"time"
"github.com/stretchr/testify/assert"
)
// validEmptyJSON is a valid dropwizard json document, but without any metrics
const validEmptyJSON = `
{
"version": "3.0.0",
"counters" : {},
"meters" : {},
"gauges" : {},
"histograms" : {},
"timers" : {}
}
`
func TestParseValidEmptyJSON(t *testing.T) {
parser := Parser{}
// Most basic vanilla test
metrics, err := parser.Parse([]byte(validEmptyJSON))
assert.NoError(t, err)
assert.Len(t, metrics, 0)
}
// validCounterJSON is a valid dropwizard json document containing one counter
const validCounterJSON = `
{
"version": "3.0.0",
"counters" : {
"measurement" : {
"count" : 1
}
},
"meters" : {},
"gauges" : {},
"histograms" : {},
"timers" : {}
}
`
func TestParseValidCounterJSON(t *testing.T) {
parser := Parser{}
metrics, err := parser.Parse([]byte(validCounterJSON))
assert.NoError(t, err)
assert.Len(t, metrics, 1)
assert.Equal(t, "measurement", metrics[0].Name())
assert.Equal(t, map[string]interface{}{
"count": float64(1),
}, metrics[0].Fields())
assert.Equal(t, map[string]string{"metric_type": "counter"}, metrics[0].Tags())
}
// validEmbeddedCounterJSON is a valid json document containing separate fields for dropwizard metrics, tags and time override.
const validEmbeddedCounterJSON = `
{
"time" : "2017-02-22T14:33:03.662+02:00",
"tags" : {
"tag1" : "green",
"tag2" : "yellow"
},
"metrics" : {
"counters" : {
"measurement" : {
"count" : 1
}
},
"meters" : {},
"gauges" : {},
"histograms" : {},
"timers" : {}
}
}
`
func TestParseValidEmbeddedCounterJSON(t *testing.T) {
timeFormat := "2006-01-02T15:04:05Z07:00"
metricTime, _ := time.Parse(timeFormat, "2017-02-22T15:33:03.662+03:00")
parser := Parser{
MetricRegistryPath: "metrics",
TagsPath: "tags",
TimePath: "time",
}
metrics, err := parser.Parse([]byte(validEmbeddedCounterJSON))
assert.NoError(t, err)
assert.Len(t, metrics, 1)
assert.Equal(t, "measurement", metrics[0].Name())
assert.Equal(t, map[string]interface{}{
"count": float64(1),
}, metrics[0].Fields())
assert.Equal(t, map[string]string{"metric_type": "counter", "tag1": "green", "tag2": "yellow"}, metrics[0].Tags())
assert.True(t, metricTime.Equal(metrics[0].Time()), fmt.Sprintf("%s should be equal to %s", metrics[0].Time(), metricTime))
// now test json tags through TagPathsMap
parser2 := Parser{
MetricRegistryPath: "metrics",
TagPathsMap: map[string]string{"tag1": "tags.tag1"},
TimePath: "time",
}
metrics2, err2 := parser2.Parse([]byte(validEmbeddedCounterJSON))
assert.NoError(t, err2)
assert.Equal(t, map[string]string{"metric_type": "counter", "tag1": "green"}, metrics2[0].Tags())
}
// validMeterJSON1 is a valid dropwizard json document containing one meter
const validMeterJSON1 = `
{
"version": "3.0.0",
"counters" : {},
"meters" : {
"measurement1" : {
"count" : 1,
"m15_rate" : 1.0,
"m1_rate" : 1.0,
"m5_rate" : 1.0,
"mean_rate" : 1.0,
"units" : "events/second"
}
},
"gauges" : {},
"histograms" : {},
"timers" : {}
}
`
func TestParseValidMeterJSON1(t *testing.T) {
parser := Parser{}
metrics, err := parser.Parse([]byte(validMeterJSON1))
assert.NoError(t, err)
assert.Len(t, metrics, 1)
assert.Equal(t, "measurement1", metrics[0].Name())
assert.Equal(t, map[string]interface{}{
"count": float64(1),
"m15_rate": float64(1),
"m1_rate": float64(1),
"m5_rate": float64(1),
"mean_rate": float64(1),
}, metrics[0].Fields())
assert.Equal(t, map[string]string{"metric_type": "meter"}, metrics[0].Tags())
}
// validMeterJSON2 is a valid dropwizard json document containing one meter with one tag
const validMeterJSON2 = `
{
"version": "3.0.0",
"counters" : {},
"meters" : {
"measurement2,key=value" : {
"count" : 2,
"m15_rate" : 2.0,
"m1_rate" : 2.0,
"m5_rate" : 2.0,
"mean_rate" : 2.0,
"units" : "events/second"
}
},
"gauges" : {},
"histograms" : {},
"timers" : {}
}
`
func TestParseValidMeterJSON2(t *testing.T) {
parser := Parser{}
metrics, err := parser.Parse([]byte(validMeterJSON2))
assert.NoError(t, err)
assert.Len(t, metrics, 1)
assert.Equal(t, "measurement2", metrics[0].Name())
assert.Equal(t, map[string]interface{}{
"count": float64(2),
"m15_rate": float64(2),
"m1_rate": float64(2),
"m5_rate": float64(2),
"mean_rate": float64(2),
}, metrics[0].Fields())
assert.Equal(t, map[string]string{"metric_type": "meter", "key": "value"}, metrics[0].Tags())
}
// validGaugeJSON is a valid dropwizard json document containing one gauge
const validGaugeJSON = `
{
"version": "3.0.0",
"counters" : {},
"meters" : {},
"gauges" : {
"measurement" : {
"value" : 0
}
},
"histograms" : {},
"timers" : {}
}
`
func TestParseValidGaugeJSON(t *testing.T) {
parser := Parser{}
metrics, err := parser.Parse([]byte(validGaugeJSON))
assert.NoError(t, err)
assert.Len(t, metrics, 1)
assert.Equal(t, "measurement", metrics[0].Name())
assert.Equal(t, map[string]interface{}{
"value": float64(0),
}, metrics[0].Fields())
assert.Equal(t, map[string]string{"metric_type": "gauge"}, metrics[0].Tags())
}
// validHistogramJSON is a valid dropwizard json document containing one histogram
const validHistogramJSON = `
{
"version": "3.0.0",
"counters" : {},
"meters" : {},
"gauges" : {},
"histograms" : {
"measurement" : {
"count" : 1,
"max" : 2,
"mean" : 3,
"min" : 4,
"p50" : 5,
"p75" : 6,
"p95" : 7,
"p98" : 8,
"p99" : 9,
"p999" : 10,
"stddev" : 11
}
},
"timers" : {}
}
`
func TestParseValidHistogramJSON(t *testing.T) {
parser := Parser{}
metrics, err := parser.Parse([]byte(validHistogramJSON))
assert.NoError(t, err)
assert.Len(t, metrics, 1)
assert.Equal(t, "measurement", metrics[0].Name())
assert.Equal(t, map[string]interface{}{
"count": float64(1),
"max": float64(2),
"mean": float64(3),
"min": float64(4),
"p50": float64(5),
"p75": float64(6),
"p95": float64(7),
"p98": float64(8),
"p99": float64(9),
"p999": float64(10),
"stddev": float64(11),
}, metrics[0].Fields())
assert.Equal(t, map[string]string{"metric_type": "histogram"}, metrics[0].Tags())
}
// validTimerJSON is a valid dropwizard json document containing one timer
const validTimerJSON = `
{
"version": "3.0.0",
"counters" : {},
"meters" : {},
"gauges" : {},
"histograms" : {},
"timers" : {
"measurement" : {
"count" : 1,
"max" : 2,
"mean" : 3,
"min" : 4,
"p50" : 5,
"p75" : 6,
"p95" : 7,
"p98" : 8,
"p99" : 9,
"p999" : 10,
"stddev" : 11,
"m15_rate" : 12,
"m1_rate" : 13,
"m5_rate" : 14,
"mean_rate" : 15,
"duration_units" : "seconds",
"rate_units" : "calls/second"
}
}
}
`
func TestParseValidTimerJSON(t *testing.T) {
parser := Parser{}
metrics, err := parser.Parse([]byte(validTimerJSON))
assert.NoError(t, err)
assert.Len(t, metrics, 1)
assert.Equal(t, "measurement", metrics[0].Name())
assert.Equal(t, map[string]interface{}{
"count": float64(1),
"max": float64(2),
"mean": float64(3),
"min": float64(4),
"p50": float64(5),
"p75": float64(6),
"p95": float64(7),
"p98": float64(8),
"p99": float64(9),
"p999": float64(10),
"stddev": float64(11),
"m15_rate": float64(12),
"m1_rate": float64(13),
"m5_rate": float64(14),
"mean_rate": float64(15),
}, metrics[0].Fields())
assert.Equal(t, map[string]string{"metric_type": "timer"}, metrics[0].Tags())
}
// validAllJSON is a valid dropwizard json document containing one metric of each type
const validAllJSON = `
{
"version": "3.0.0",
"counters" : {
"measurement" : {"count" : 1}
},
"meters" : {
"measurement" : {"count" : 1}
},
"gauges" : {
"measurement" : {"value" : 1}
},
"histograms" : {
"measurement" : {"count" : 1}
},
"timers" : {
"measurement" : {"count" : 1}
}
}
`
func TestParseValidAllJSON(t *testing.T) {
parser := Parser{}
metrics, err := parser.Parse([]byte(validAllJSON))
assert.NoError(t, err)
assert.Len(t, metrics, 5)
}
func TestTagParsingProblems(t *testing.T) {
// giving a wrong path results in empty tags
parser1 := Parser{MetricRegistryPath: "metrics", TagsPath: "tags1"}
metrics1, err1 := parser1.Parse([]byte(validEmbeddedCounterJSON))
assert.NoError(t, err1)
assert.Len(t, metrics1, 1)
assert.Equal(t, map[string]string{"metric_type": "counter"}, metrics1[0].Tags())
// giving a wrong TagsPath falls back to TagPathsMap
parser2 := Parser{
MetricRegistryPath: "metrics",
TagsPath: "tags1",
TagPathsMap: map[string]string{"tag1": "tags.tag1"},
}
metrics2, err2 := parser2.Parse([]byte(validEmbeddedCounterJSON))
assert.NoError(t, err2)
assert.Len(t, metrics2, 1)
assert.Equal(t, map[string]string{"metric_type": "counter", "tag1": "green"}, metrics2[0].Tags())
}
// sampleTemplateJSON is a sample json document containing metrics to be tested against the templating engine.
const sampleTemplateJSON = `
{
"version": "3.0.0",
"counters" : {},
"meters" : {},
"gauges" : {
"vm.memory.heap.committed" : { "value" : 1 },
"vm.memory.heap.init" : { "value" : 2 },
"vm.memory.heap.max" : { "value" : 3 },
"vm.memory.heap.usage" : { "value" : 4 },
"vm.memory.heap.used" : { "value" : 5 },
"vm.memory.non-heap.committed" : { "value" : 6 },
"vm.memory.non-heap.init" : { "value" : 7 },
"vm.memory.non-heap.max" : { "value" : 8 },
"vm.memory.non-heap.usage" : { "value" : 9 },
"vm.memory.non-heap.used" : { "value" : 10 }
},
"histograms" : {
"jenkins.job.building.duration" : {
"count" : 1,
"max" : 2,
"mean" : 3,
"min" : 4,
"p50" : 5,
"p75" : 6,
"p95" : 7,
"p98" : 8,
"p99" : 9,
"p999" : 10,
"stddev" : 11
}
},
"timers" : {}
}
`
func TestParseSampleTemplateJSON(t *testing.T) {
parser := Parser{
Separator: "_",
Templates: []string{
"jenkins.* measurement.metric.metric.field",
"vm.* measurement.measurement.pool.field",
},
}
parser.InitTemplating()
metrics, err := parser.Parse([]byte(sampleTemplateJSON))
assert.NoError(t, err)
assert.Len(t, metrics, 11)
jenkinsMetric := search(metrics, "jenkins", nil, "")
assert.NotNil(t, jenkinsMetric, "the metrics should contain a jenkins measurement")
assert.Equal(t, map[string]interface{}{
"duration_count": float64(1),
"duration_max": float64(2),
"duration_mean": float64(3),
"duration_min": float64(4),
"duration_p50": float64(5),
"duration_p75": float64(6),
"duration_p95": float64(7),
"duration_p98": float64(8),
"duration_p99": float64(9),
"duration_p999": float64(10),
"duration_stddev": float64(11),
}, jenkinsMetric.Fields())
assert.Equal(t, map[string]string{"metric_type": "histogram", "metric": "job_building"}, jenkinsMetric.Tags())
vmMemoryHeapCommitted := search(metrics, "vm_memory", map[string]string{"pool": "heap"}, "committed_value")
assert.NotNil(t, vmMemoryHeapCommitted)
assert.Equal(t, map[string]interface{}{
"committed_value": float64(1),
}, vmMemoryHeapCommitted.Fields())
assert.Equal(t, map[string]string{"metric_type": "gauge", "pool": "heap"}, vmMemoryHeapCommitted.Tags())
vmMemoryNonHeapCommitted := search(metrics, "vm_memory", map[string]string{"pool": "non-heap"}, "committed_value")
assert.NotNil(t, vmMemoryNonHeapCommitted)
assert.Equal(t, map[string]interface{}{
"committed_value": float64(6),
}, vmMemoryNonHeapCommitted.Fields())
assert.Equal(t, map[string]string{"metric_type": "gauge", "pool": "non-heap"}, vmMemoryNonHeapCommitted.Tags())
}
func search(metrics []telegraf.Metric, name string, tags map[string]string, fieldName string) telegraf.Metric {
for _, v := range metrics {
if v.Name() == name && containsAll(v.Tags(), tags) {
if len(fieldName) == 0 {
return v
}
if _, ok := v.Fields()[fieldName]; ok {
return v
}
}
}
return nil
}
func containsAll(t1 map[string]string, t2 map[string]string) bool {
for k, v := range t2 {
if foundValue, ok := t1[k]; !ok || v != foundValue {
return false
}
}
return true
}

336
plugins/parsers/graphite/parser.go
View File

@ -6,11 +6,12 @@ import (
"fmt"
"io"
"math"
"sort"
"strconv"
"strings"
"time"
"github.com/influxdata/telegraf/internal/templating"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/metric"
)
@ -26,8 +27,7 @@ type GraphiteParser struct {
Separator string
Templates []string
DefaultTags map[string]string
matcher *matcher
templateEngine *templating.Engine
}
func (p *GraphiteParser) SetDefaultTags(tags map[string]string) {
@ -52,66 +52,14 @@ func NewGraphiteParser(
if defaultTags != nil {
p.DefaultTags = defaultTags
}
matcher := newMatcher()
p.matcher = matcher
defaultTemplate, _ := NewTemplate("measurement*", nil, p.Separator)
matcher.AddDefaultTemplate(defaultTemplate)
tmplts := parsedTemplates{}
for _, pattern := range p.Templates {
tmplt := parsedTemplate{}
tmplt.template = pattern
// Format is [filter] <template> [tag1=value1,tag2=value2]
parts := strings.Fields(pattern)
if len(parts) < 1 {
continue
} else if len(parts) >= 2 {
if strings.Contains(parts[1], "=") {
tmplt.template = parts[0]
tmplt.tagstring = parts[1]
} else {
tmplt.filter = parts[0]
tmplt.template = parts[1]
if len(parts) > 2 {
tmplt.tagstring = parts[2]
}
}
}
tmplts = append(tmplts, tmplt)
}
sort.Sort(tmplts)
for _, tmplt := range tmplts {
if err := p.addToMatcher(tmplt); err != nil {
return nil, err
}
}
defaultTemplate, _ := templating.NewDefaultTemplateWithPattern("measurement*")
p.templateEngine, err = templating.NewEngine(p.Separator, defaultTemplate, p.Templates)
if err != nil {
return p, fmt.Errorf("exec input parser config is error: %s ", err.Error())
} else {
}
return p, nil
}
}
func (p *GraphiteParser) addToMatcher(tmplt parsedTemplate) error {
// Parse out the default tags specific to this template
tags := map[string]string{}
if tmplt.tagstring != "" {
for _, kv := range strings.Split(tmplt.tagstring, ",") {
parts := strings.Split(kv, "=")
tags[parts[0]] = parts[1]
}
}
tmpl, err := NewTemplate(tmplt.template, tags, p.Separator)
if err != nil {
return err
}
p.matcher.Add(tmplt.filter, tmpl)
return nil
}
func (p *GraphiteParser) Parse(buf []byte) ([]telegraf.Metric, error) {
// parse even if the buffer begins with a newline
@ -162,8 +110,7 @@ func (p *GraphiteParser) ParseLine(line string) (telegraf.Metric, error) {
}
// decode the name and tags
template := p.matcher.Match(fields[0])
measurement, tags, field, err := template.Apply(fields[0])
measurement, tags, field, err := p.templateEngine.Apply(fields[0])
if err != nil {
return nil, err
}
@ -229,8 +176,7 @@ func (p *GraphiteParser) ApplyTemplate(line string) (string, map[string]string,
return "", make(map[string]string), "", nil
}
// decode the name and tags
template := p.matcher.Match(fields[0])
name, tags, field, err := template.Apply(fields[0])
name, tags, field, err := p.templateEngine.Apply(fields[0])
// Set the default tags on the point if they are not already set
for k, v := range p.DefaultTags {
@ -241,269 +187,3 @@ func (p *GraphiteParser) ApplyTemplate(line string) (string, map[string]string,
return name, tags, field, err
}
// template represents a pattern and tags to map a graphite metric string to a influxdb Point
type template struct {
tags []string
defaultTags map[string]string
greedyField bool
greedyMeasurement bool
separator string
}
// NewTemplate returns a new template ensuring it has a measurement
// specified.
func NewTemplate(pattern string, defaultTags map[string]string, separator string) (*template, error) {
tags := strings.Split(pattern, ".")
hasMeasurement := false
template := &template{tags: tags, defaultTags: defaultTags, separator: separator}
for _, tag := range tags {
if strings.HasPrefix(tag, "measurement") {
hasMeasurement = true
}
if tag == "measurement*" {
template.greedyMeasurement = true
} else if tag == "field*" {
template.greedyField = true
}
}
if !hasMeasurement {
return nil, fmt.Errorf("no measurement specified for template. %q", pattern)
}
return template, nil
}
// Apply extracts the template fields from the given line and returns the measurement
// name and tags
func (t *template) Apply(line string) (string, map[string]string, string, error) {
fields := strings.Split(line, ".")
var (
measurement []string
tags = make(map[string][]string)
field []string
)
// Set any default tags
for k, v := range t.defaultTags {
tags[k] = append(tags[k], v)
}
// See if an invalid combination has been specified in the template:
for _, tag := range t.tags {
if tag == "measurement*" {
t.greedyMeasurement = true
} else if tag == "field*" {
t.greedyField = true
}
}
if t.greedyField && t.greedyMeasurement {
return "", nil, "",
fmt.Errorf("either 'field*' or 'measurement*' can be used in each "+
"template (but not both together): %q",
strings.Join(t.tags, t.separator))
}
for i, tag := range t.tags {
if i >= len(fields) {
continue
}
if tag == "" {
continue
}
switch tag {
case "measurement":
measurement = append(measurement, fields[i])
case "field":
field = append(field, fields[i])
case "field*":
field = append(field, fields[i:]...)
break
case "measurement*":
measurement = append(measurement, fields[i:]...)
break
default:
tags[tag] = append(tags[tag], fields[i])
}
}
// Convert to map of strings.
outtags := make(map[string]string)
for k, values := range tags {
outtags[k] = strings.Join(values, t.separator)
}
return strings.Join(measurement, t.separator), outtags, strings.Join(field, t.separator), nil
}
// matcher determines which template should be applied to a given metric
// based on a filter tree.
type matcher struct {
root *node
defaultTemplate *template
}
func newMatcher() *matcher {
return &matcher{
root: &node{},
}
}
// Add inserts the template in the filter tree based the given filter
func (m *matcher) Add(filter string, template *template) {
if filter == "" {
m.AddDefaultTemplate(template)
return
}
m.root.Insert(filter, template)
}
func (m *matcher) AddDefaultTemplate(template *template) {
m.defaultTemplate = template
}
// Match returns the template that matches the given graphite line
func (m *matcher) Match(line string) *template {
tmpl := m.root.Search(line)
if tmpl != nil {
return tmpl
}
return m.defaultTemplate
}
// node is an item in a sorted k-ary tree. Each child is sorted by its value.
// The special value of "*", is always last.
type node struct {
value string
children nodes
template *template
}
func (n *node) insert(values []string, template *template) {
// Add the end, set the template
if len(values) == 0 {
n.template = template
return
}
// See if the the current element already exists in the tree. If so, insert the
// into that sub-tree
for _, v := range n.children {
if v.value == values[0] {
v.insert(values[1:], template)
return
}
}
// New element, add it to the tree and sort the children
newNode := &node{value: values[0]}
n.children = append(n.children, newNode)
sort.Sort(&n.children)
// Now insert the rest of the tree into the new element
newNode.insert(values[1:], template)
}
// Insert inserts the given string template into the tree. The filter string is separated
// on "." and each part is used as the path in the tree.
func (n *node) Insert(filter string, template *template) {
n.insert(strings.Split(filter, "."), template)
}
func (n *node) search(lineParts []string) *template {
// Nothing to search
if len(lineParts) == 0 || len(n.children) == 0 {
return n.template
}
// If last element is a wildcard, don't include in this search since it's sorted
// to the end but lexicographically it would not always be and sort.Search assumes
// the slice is sorted.
length := len(n.children)
if n.children[length-1].value == "*" {
length--
}
// Find the index of child with an exact match
i := sort.Search(length, func(i int) bool {
return n.children[i].value >= lineParts[0]
})
// Found an exact match, so search that child sub-tree
if i < len(n.children) && n.children[i].value == lineParts[0] {
return n.children[i].search(lineParts[1:])
}
// Not an exact match, see if we have a wildcard child to search
if n.children[len(n.children)-1].value == "*" {
return n.children[len(n.children)-1].search(lineParts[1:])
}
return n.template
}
func (n *node) Search(line string) *template {
return n.search(strings.Split(line, "."))
}
type nodes []*node
// Less returns a boolean indicating whether the filter at position j
// is less than the filter at position k. Filters are order by string
// comparison of each component parts. A wildcard value "*" is never
// less than a non-wildcard value.
//
// For example, the filters:
// "*.*"
// "servers.*"
// "servers.localhost"
// "*.localhost"
//
// Would be sorted as:
// "servers.localhost"
// "servers.*"
// "*.localhost"
// "*.*"
func (n *nodes) Less(j, k int) bool {
if (*n)[j].value == "*" && (*n)[k].value != "*" {
return false
}
if (*n)[j].value != "*" && (*n)[k].value == "*" {
return true
}
return (*n)[j].value < (*n)[k].value
}
func (n *nodes) Swap(i, j int) { (*n)[i], (*n)[j] = (*n)[j], (*n)[i] }
func (n *nodes) Len() int { return len(*n) }
type parsedTemplate struct {
template string
filter string
tagstring string
}
type parsedTemplates []parsedTemplate
func (e parsedTemplates) Less(j, k int) bool {
if len(e[j].filter) == 0 && len(e[k].filter) == 0 {
nj := len(strings.Split(e[j].template, "."))
nk := len(strings.Split(e[k].template, "."))
return nj < nk
}
if len(e[j].filter) == 0 {
return true
}
if len(e[k].filter) == 0 {
return false
}
nj := len(strings.Split(e[j].template, "."))
nk := len(strings.Split(e[k].template, "."))
return nj < nk
}
func (e parsedTemplates) Swap(i, j int) { e[i], e[j] = e[j], e[i] }
func (e parsedTemplates) Len() int { return len(e) }

5
plugins/parsers/graphite/parser_test.go
View File

@ -6,6 +6,7 @@ import (
"testing"
"time"
"github.com/influxdata/telegraf/internal/templating"
"github.com/influxdata/telegraf/metric"
"github.com/stretchr/testify/assert"
@ -118,7 +119,7 @@ func TestTemplateApply(t *testing.T) {
}
for _, test := range tests {
tmpl, err := NewTemplate(test.template, nil, DefaultSeparator)
tmpl, err := templating.NewDefaultTemplateWithPattern(test.template)
if errstr(err) != test.err {
t.Fatalf("err does not match. expected %v, got %v", test.err, err)
}
@ -127,7 +128,7 @@ func TestTemplateApply(t *testing.T) {
continue
}
measurement, tags, _, _ := tmpl.Apply(test.input)
measurement, tags, _, _ := tmpl.Apply(test.input, DefaultSeparator)
if measurement != test.measurement {
t.Fatalf("name parse failer. expected %v, got %v", test.measurement, measurement)
}

47
plugins/parsers/registry.go
View File

@ -6,6 +6,7 @@ import (
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/parsers/collectd"
"github.com/influxdata/telegraf/plugins/parsers/dropwizard"
"github.com/influxdata/telegraf/plugins/parsers/graphite"
"github.com/influxdata/telegraf/plugins/parsers/influx"
"github.com/influxdata/telegraf/plugins/parsers/json"
@ -66,6 +67,22 @@ type Config struct {
// DefaultTags are the default tags that will be added to all parsed metrics.
DefaultTags map[string]string
// an optional json path containing the metric registry object
// if left empty, the whole json object is parsed as a metric registry
DropwizardMetricRegistryPath string
// an optional json path containing the default time of the metrics
// if left empty, the processing time is used
DropwizardTimePath string
// time format to use for parsing the time field
// defaults to time.RFC3339
DropwizardTimeFormat string
// an optional json path pointing to a json object with tag key/value pairs
// takes precedence over DropwizardTagPathsMap
DropwizardTagsPath string
// an optional map containing tag names as keys and json paths to retrieve the tag values from as values
// used if TagsPath is empty or doesn't return any tags
DropwizardTagPathsMap map[string]string
}
// NewParser returns a Parser interface based on the given config.
@ -89,6 +106,10 @@ func NewParser(config *Config) (Parser, error) {
case "collectd":
parser, err = NewCollectdParser(config.CollectdAuthFile,
config.CollectdSecurityLevel, config.CollectdTypesDB)
case "dropwizard":
parser, err = NewDropwizardParser(config.DropwizardMetricRegistryPath,
config.DropwizardTimePath, config.DropwizardTimeFormat, config.DropwizardTagsPath, config.DropwizardTagPathsMap, config.DefaultTags,
config.Separator, config.Templates)
default:
err = fmt.Errorf("Invalid data format: %s", config.DataFormat)
}
@ -143,3 +164,29 @@ func NewCollectdParser(
) (Parser, error) {
return collectd.NewCollectdParser(authFile, securityLevel, typesDB)
}
func NewDropwizardParser(
metricRegistryPath string,
timePath string,
timeFormat string,
tagsPath string,
tagPathsMap map[string]string,
defaultTags map[string]string,
separator string,
templates []string,
) (Parser, error) {
parser := &dropwizard.Parser{
MetricRegistryPath: metricRegistryPath,
TimePath: timePath,
TimeFormat: timeFormat,
TagsPath: tagsPath,
TagPathsMap: tagPathsMap,
DefaultTags: defaultTags,
Separator: separator,
Templates: templates,
}
err := parser.InitTemplating()
return parser, err
}