Implement a per-output fixed size metric buffer
Also moved some objects out of config.go and put them in their own package, internal/models fixes #568 closes #285
This commit is contained in:
92
internal/models/filter.go
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92
internal/models/filter.go
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@@ -0,0 +1,92 @@
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package models
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import (
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"strings"
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"github.com/influxdata/influxdb/client/v2"
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"github.com/influxdata/telegraf/internal"
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)
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// TagFilter is the name of a tag, and the values on which to filter
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type TagFilter struct {
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Name string
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Filter []string
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}
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// Filter containing drop/pass and tagdrop/tagpass rules
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type Filter struct {
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Drop []string
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Pass []string
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TagDrop []TagFilter
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TagPass []TagFilter
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IsActive bool
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}
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func (f Filter) ShouldPointPass(point *client.Point) bool {
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if f.ShouldPass(point.Name()) && f.ShouldTagsPass(point.Tags()) {
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return true
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}
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return false
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}
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// ShouldPass returns true if the metric should pass, false if should drop
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// based on the drop/pass filter parameters
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func (f Filter) ShouldPass(key string) bool {
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if f.Pass != nil {
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for _, pat := range f.Pass {
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// TODO remove HasPrefix check, leaving it for now for legacy support.
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// Cam, 2015-12-07
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if strings.HasPrefix(key, pat) || internal.Glob(pat, key) {
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return true
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}
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}
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return false
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}
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if f.Drop != nil {
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for _, pat := range f.Drop {
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// TODO remove HasPrefix check, leaving it for now for legacy support.
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// Cam, 2015-12-07
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if strings.HasPrefix(key, pat) || internal.Glob(pat, key) {
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return false
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}
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}
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return true
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}
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return true
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}
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// ShouldTagsPass returns true if the metric should pass, false if should drop
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// based on the tagdrop/tagpass filter parameters
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func (f Filter) ShouldTagsPass(tags map[string]string) bool {
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if f.TagPass != nil {
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for _, pat := range f.TagPass {
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if tagval, ok := tags[pat.Name]; ok {
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for _, filter := range pat.Filter {
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if internal.Glob(filter, tagval) {
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return true
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}
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}
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}
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}
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return false
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}
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if f.TagDrop != nil {
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for _, pat := range f.TagDrop {
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if tagval, ok := tags[pat.Name]; ok {
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for _, filter := range pat.Filter {
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if internal.Glob(filter, tagval) {
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return false
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}
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}
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}
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}
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return true
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}
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return true
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}
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177
internal/models/filter_test.go
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177
internal/models/filter_test.go
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@@ -0,0 +1,177 @@
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package models
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import (
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"testing"
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)
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func TestFilter_Empty(t *testing.T) {
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f := Filter{}
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measurements := []string{
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"foo",
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"bar",
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"barfoo",
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"foo_bar",
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"foo.bar",
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"foo-bar",
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"supercalifradjulisticexpialidocious",
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}
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for _, measurement := range measurements {
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if !f.ShouldPass(measurement) {
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t.Errorf("Expected measurement %s to pass", measurement)
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}
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}
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}
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func TestFilter_Pass(t *testing.T) {
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f := Filter{
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Pass: []string{"foo*", "cpu_usage_idle"},
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}
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passes := []string{
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"foo",
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"foo_bar",
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"foo.bar",
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"foo-bar",
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"cpu_usage_idle",
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}
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drops := []string{
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"bar",
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"barfoo",
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"bar_foo",
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"cpu_usage_busy",
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}
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for _, measurement := range passes {
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if !f.ShouldPass(measurement) {
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t.Errorf("Expected measurement %s to pass", measurement)
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}
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}
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for _, measurement := range drops {
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if f.ShouldPass(measurement) {
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t.Errorf("Expected measurement %s to drop", measurement)
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}
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}
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}
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func TestFilter_Drop(t *testing.T) {
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f := Filter{
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Drop: []string{"foo*", "cpu_usage_idle"},
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}
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drops := []string{
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"foo",
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"foo_bar",
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"foo.bar",
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"foo-bar",
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"cpu_usage_idle",
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}
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passes := []string{
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"bar",
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"barfoo",
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"bar_foo",
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"cpu_usage_busy",
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}
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for _, measurement := range passes {
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if !f.ShouldPass(measurement) {
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t.Errorf("Expected measurement %s to pass", measurement)
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}
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}
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for _, measurement := range drops {
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if f.ShouldPass(measurement) {
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t.Errorf("Expected measurement %s to drop", measurement)
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}
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}
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}
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func TestFilter_TagPass(t *testing.T) {
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filters := []TagFilter{
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TagFilter{
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Name: "cpu",
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Filter: []string{"cpu-*"},
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},
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TagFilter{
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Name: "mem",
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Filter: []string{"mem_free"},
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}}
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f := Filter{
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TagPass: filters,
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}
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passes := []map[string]string{
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{"cpu": "cpu-total"},
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{"cpu": "cpu-0"},
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{"cpu": "cpu-1"},
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{"cpu": "cpu-2"},
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{"mem": "mem_free"},
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}
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drops := []map[string]string{
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{"cpu": "cputotal"},
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{"cpu": "cpu0"},
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{"cpu": "cpu1"},
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{"cpu": "cpu2"},
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{"mem": "mem_used"},
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}
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for _, tags := range passes {
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if !f.ShouldTagsPass(tags) {
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t.Errorf("Expected tags %v to pass", tags)
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}
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}
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for _, tags := range drops {
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if f.ShouldTagsPass(tags) {
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t.Errorf("Expected tags %v to drop", tags)
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}
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}
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}
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func TestFilter_TagDrop(t *testing.T) {
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filters := []TagFilter{
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TagFilter{
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Name: "cpu",
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Filter: []string{"cpu-*"},
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},
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TagFilter{
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Name: "mem",
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Filter: []string{"mem_free"},
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}}
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f := Filter{
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TagDrop: filters,
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}
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drops := []map[string]string{
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{"cpu": "cpu-total"},
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{"cpu": "cpu-0"},
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{"cpu": "cpu-1"},
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{"cpu": "cpu-2"},
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{"mem": "mem_free"},
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}
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passes := []map[string]string{
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{"cpu": "cputotal"},
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{"cpu": "cpu0"},
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{"cpu": "cpu1"},
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{"cpu": "cpu2"},
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{"mem": "mem_used"},
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}
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for _, tags := range passes {
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if !f.ShouldTagsPass(tags) {
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t.Errorf("Expected tags %v to pass", tags)
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}
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}
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for _, tags := range drops {
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if f.ShouldTagsPass(tags) {
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t.Errorf("Expected tags %v to drop", tags)
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}
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}
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}
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24
internal/models/running_input.go
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24
internal/models/running_input.go
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@@ -0,0 +1,24 @@
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package models
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import (
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"time"
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"github.com/influxdata/telegraf/plugins/inputs"
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)
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type RunningInput struct {
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Name string
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Input inputs.Input
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Config *InputConfig
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}
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// InputConfig containing a name, interval, and filter
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type InputConfig struct {
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Name string
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NameOverride string
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MeasurementPrefix string
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MeasurementSuffix string
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Tags map[string]string
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Filter Filter
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Interval time.Duration
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}
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77
internal/models/running_output.go
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77
internal/models/running_output.go
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@@ -0,0 +1,77 @@
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package models
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import (
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"log"
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"time"
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"github.com/influxdata/telegraf/plugins/outputs"
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"github.com/influxdata/influxdb/client/v2"
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)
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const DEFAULT_POINT_BUFFER_LIMIT = 10000
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type RunningOutput struct {
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Name string
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Output outputs.Output
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Config *OutputConfig
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Quiet bool
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PointBufferLimit int
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points []*client.Point
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overwriteCounter int
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}
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func NewRunningOutput(
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name string,
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output outputs.Output,
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conf *OutputConfig,
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) *RunningOutput {
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ro := &RunningOutput{
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Name: name,
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points: make([]*client.Point, 0),
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Output: output,
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Config: conf,
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PointBufferLimit: DEFAULT_POINT_BUFFER_LIMIT,
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}
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return ro
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}
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func (ro *RunningOutput) AddPoint(point *client.Point) {
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if ro.Config.Filter.IsActive {
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if !ro.Config.Filter.ShouldPointPass(point) {
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return
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}
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}
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if len(ro.points) < ro.PointBufferLimit {
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ro.points = append(ro.points, point)
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} else {
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if ro.overwriteCounter == len(ro.points) {
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ro.overwriteCounter = 0
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}
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ro.points[ro.overwriteCounter] = point
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ro.overwriteCounter++
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}
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}
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func (ro *RunningOutput) Write() error {
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start := time.Now()
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err := ro.Output.Write(ro.points)
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elapsed := time.Since(start)
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if err == nil {
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if !ro.Quiet {
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log.Printf("Wrote %d metrics to output %s in %s\n",
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len(ro.points), ro.Name, elapsed)
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}
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ro.points = make([]*client.Point, 0)
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ro.overwriteCounter = 0
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}
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return err
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}
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// OutputConfig containing name and filter
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type OutputConfig struct {
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Name string
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Filter Filter
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}
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