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metrics: pull library and introduce ResettingTimer and InfluxDB reporter (#15910)

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* go-metrics: fork library and introduce ResettingTimer and InfluxDB reporter.

* vendor: change nonsense/go-metrics to ethersphere/go-metrics

* go-metrics: add tests. move ResettingTimer logic from reporter to type.

* all, metrics: pull in metrics package in go-ethereum

* metrics/test: make sure metrics are enabled for tests

* metrics: apply gosimple rules

* metrics/exp, internal/debug: init expvar endpoint when starting pprof server

* internal/debug: tiny comment formatting fix
This commit is contained in:
Anton Evangelatov
2018-02-23 10:56:08 +01:00
committed by Péter Szilágyi
parent 7f74bdf8dd
commit ae9f97221a
88 changed files with 7837 additions and 346 deletions
Download Patch File Download Diff File Expand all files Collapse all files

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The MIT License (MIT)
Copyright (c) 2013-2016 Errplane Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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- # List
- bootstrap 3.3.5 [MIT LICENSE](https://github.com/twbs/bootstrap/blob/master/LICENSE)
- collectd.org [ISC LICENSE](https://github.com/collectd/go-collectd/blob/master/LICENSE)
- github.com/BurntSushi/toml [MIT LICENSE](https://github.com/BurntSushi/toml/blob/master/COPYING)
- github.com/RoaringBitmap/roaring [APACHE LICENSE](https://github.com/RoaringBitmap/roaring/blob/master/LICENSE)
- github.com/beorn7/perks [MIT LICENSE](https://github.com/beorn7/perks/blob/master/LICENSE)
- github.com/bmizerany/pat [MIT LICENSE](https://github.com/bmizerany/pat#license)
- github.com/boltdb/bolt [MIT LICENSE](https://github.com/boltdb/bolt/blob/master/LICENSE)
- github.com/cespare/xxhash [MIT LICENSE](https://github.com/cespare/xxhash/blob/master/LICENSE.txt)
- github.com/clarkduvall/hyperloglog [MIT LICENSE](https://github.com/clarkduvall/hyperloglog/blob/master/LICENSE)
- github.com/davecgh/go-spew/spew [ISC LICENSE](https://github.com/davecgh/go-spew/blob/master/LICENSE)
- github.com/dgrijalva/jwt-go [MIT LICENSE](https://github.com/dgrijalva/jwt-go/blob/master/LICENSE)
- github.com/dgryski/go-bits [MIT LICENSE](https://github.com/dgryski/go-bits/blob/master/LICENSE)
- github.com/dgryski/go-bitstream [MIT LICENSE](https://github.com/dgryski/go-bitstream/blob/master/LICENSE)
- github.com/glycerine/go-unsnap-stream [MIT LICENSE](https://github.com/glycerine/go-unsnap-stream/blob/master/LICENSE)
- github.com/gogo/protobuf/proto [BSD LICENSE](https://github.com/gogo/protobuf/blob/master/LICENSE)
- github.com/golang/protobuf [BSD LICENSE](https://github.com/golang/protobuf/blob/master/LICENSE)
- github.com/golang/snappy [BSD LICENSE](https://github.com/golang/snappy/blob/master/LICENSE)
- github.com/google/go-cmp [BSD LICENSE](https://github.com/google/go-cmp/blob/master/LICENSE)
- github.com/influxdata/influxql [MIT LICENSE](https://github.com/influxdata/influxql/blob/master/LICENSE)
- github.com/influxdata/usage-client [MIT LICENSE](https://github.com/influxdata/usage-client/blob/master/LICENSE.txt)
- github.com/influxdata/yamux [MOZILLA PUBLIC LICENSE](https://github.com/influxdata/yamux/blob/master/LICENSE)
- github.com/influxdata/yarpc [MIT LICENSE](https://github.com/influxdata/yarpc/blob/master/LICENSE)
- github.com/jsternberg/zap-logfmt [MIT LICENSE](https://github.com/jsternberg/zap-logfmt/blob/master/LICENSE)
- github.com/jwilder/encoding [MIT LICENSE](https://github.com/jwilder/encoding/blob/master/LICENSE)
- github.com/mattn/go-isatty [MIT LICENSE](https://github.com/mattn/go-isatty/blob/master/LICENSE)
- github.com/matttproud/golang_protobuf_extensions [APACHE LICENSE](https://github.com/matttproud/golang_protobuf_extensions/blob/master/LICENSE)
- github.com/opentracing/opentracing-go [MIT LICENSE](https://github.com/opentracing/opentracing-go/blob/master/LICENSE)
- github.com/paulbellamy/ratecounter [MIT LICENSE](https://github.com/paulbellamy/ratecounter/blob/master/LICENSE)
- github.com/peterh/liner [MIT LICENSE](https://github.com/peterh/liner/blob/master/COPYING)
- github.com/philhofer/fwd [MIT LICENSE](https://github.com/philhofer/fwd/blob/master/LICENSE.md)
- github.com/prometheus/client_golang [MIT LICENSE](https://github.com/prometheus/client_golang/blob/master/LICENSE)
- github.com/prometheus/client_model [MIT LICENSE](https://github.com/prometheus/client_model/blob/master/LICENSE)
- github.com/prometheus/common [APACHE LICENSE](https://github.com/prometheus/common/blob/master/LICENSE)
- github.com/prometheus/procfs [APACHE LICENSE](https://github.com/prometheus/procfs/blob/master/LICENSE)
- github.com/rakyll/statik [APACHE LICENSE](https://github.com/rakyll/statik/blob/master/LICENSE)
- github.com/retailnext/hllpp [BSD LICENSE](https://github.com/retailnext/hllpp/blob/master/LICENSE)
- github.com/tinylib/msgp [MIT LICENSE](https://github.com/tinylib/msgp/blob/master/LICENSE)
- go.uber.org/atomic [MIT LICENSE](https://github.com/uber-go/atomic/blob/master/LICENSE.txt)
- go.uber.org/multierr [MIT LICENSE](https://github.com/uber-go/multierr/blob/master/LICENSE.txt)
- go.uber.org/zap [MIT LICENSE](https://github.com/uber-go/zap/blob/master/LICENSE.txt)
- golang.org/x/crypto [BSD LICENSE](https://github.com/golang/crypto/blob/master/LICENSE)
- golang.org/x/net [BSD LICENSE](https://github.com/golang/net/blob/master/LICENSE)
- golang.org/x/sys [BSD LICENSE](https://github.com/golang/sys/blob/master/LICENSE)
- golang.org/x/text [BSD LICENSE](https://github.com/golang/text/blob/master/LICENSE)
- golang.org/x/time [BSD LICENSE](https://github.com/golang/time/blob/master/LICENSE)
- jquery 2.1.4 [MIT LICENSE](https://github.com/jquery/jquery/blob/master/LICENSE.txt)
- github.com/xlab/treeprint [MIT LICENSE](https://github.com/xlab/treeprint/blob/master/LICENSE)

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# InfluxDB Client
[![GoDoc](https://godoc.org/github.com/influxdata/influxdb?status.svg)](http://godoc.org/github.com/influxdata/influxdb/client/v2)
## Description
**NOTE:** The Go client library now has a "v2" version, with the old version
being deprecated. The new version can be imported at
`import "github.com/influxdata/influxdb/client/v2"`. It is not backwards-compatible.
A Go client library written and maintained by the **InfluxDB** team.
This package provides convenience functions to read and write time series data.
It uses the HTTP protocol to communicate with your **InfluxDB** cluster.
## Getting Started
### Connecting To Your Database
Connecting to an **InfluxDB** database is straightforward. You will need a host
name, a port and the cluster user credentials if applicable. The default port is
8086. You can customize these settings to your specific installation via the
**InfluxDB** configuration file.
Though not necessary for experimentation, you may want to create a new user
and authenticate the connection to your database.
For more information please check out the
[Admin Docs](https://docs.influxdata.com/influxdb/latest/administration/).
For the impatient, you can create a new admin user _bubba_ by firing off the
[InfluxDB CLI](https://github.com/influxdata/influxdb/blob/master/cmd/influx/main.go).
```shell
influx
> create user bubba with password 'bumblebeetuna'
> grant all privileges to bubba
```
And now for good measure set the credentials in you shell environment.
In the example below we will use $INFLUX_USER and $INFLUX_PWD
Now with the administrivia out of the way, let's connect to our database.
NOTE: If you've opted out of creating a user, you can omit Username and Password in
the configuration below.
```go
package main
import (
"log"
"time"
"github.com/influxdata/influxdb/client/v2"
)
const (
MyDB = "square_holes"
username = "bubba"
password = "bumblebeetuna"
)
func main() {
// Create a new HTTPClient
c, err := client.NewHTTPClient(client.HTTPConfig{
Addr: "http://localhost:8086",
Username: username,
Password: password,
})
if err != nil {
log.Fatal(err)
}
// Create a new point batch
bp, err := client.NewBatchPoints(client.BatchPointsConfig{
Database: MyDB,
Precision: "s",
})
if err != nil {
log.Fatal(err)
}
// Create a point and add to batch
tags := map[string]string{"cpu": "cpu-total"}
fields := map[string]interface{}{
"idle": 10.1,
"system": 53.3,
"user": 46.6,
}
pt, err := client.NewPoint("cpu_usage", tags, fields, time.Now())
if err != nil {
log.Fatal(err)
}
bp.AddPoint(pt)
// Write the batch
if err := c.Write(bp); err != nil {
log.Fatal(err)
}
}
```
### Inserting Data
Time series data aka *points* are written to the database using batch inserts.
The mechanism is to create one or more points and then create a batch aka
*batch points* and write these to a given database and series. A series is a
combination of a measurement (time/values) and a set of tags.
In this sample we will create a batch of a 1,000 points. Each point has a time and
a single value as well as 2 tags indicating a shape and color. We write these points
to a database called _square_holes_ using a measurement named _shapes_.
NOTE: You can specify a RetentionPolicy as part of the batch points. If not
provided InfluxDB will use the database _default_ retention policy.
```go
func writePoints(clnt client.Client) {
sampleSize := 1000
bp, err := client.NewBatchPoints(client.BatchPointsConfig{
Database: "systemstats",
Precision: "us",
})
if err != nil {
log.Fatal(err)
}
rand.Seed(time.Now().UnixNano())
for i := 0; i < sampleSize; i++ {
regions := []string{"us-west1", "us-west2", "us-west3", "us-east1"}
tags := map[string]string{
"cpu": "cpu-total",
"host": fmt.Sprintf("host%d", rand.Intn(1000)),
"region": regions[rand.Intn(len(regions))],
}
idle := rand.Float64() * 100.0
fields := map[string]interface{}{
"idle": idle,
"busy": 100.0 - idle,
}
pt, err := client.NewPoint(
"cpu_usage",
tags,
fields,
time.Now(),
)
if err != nil {
log.Fatal(err)
}
bp.AddPoint(pt)
}
if err := clnt.Write(bp); err != nil {
log.Fatal(err)
}
}
```
#### Uint64 Support
The `uint64` data type is supported if your server is version `1.4.0` or
greater. To write a data point as an unsigned integer, you must insert
the point as `uint64`. You cannot use `uint` or any of the other
derivatives because previous versions of the client have supported
writing those types as an integer.
### Querying Data
One nice advantage of using **InfluxDB** the ability to query your data using familiar
SQL constructs. In this example we can create a convenience function to query the database
as follows:
```go
// queryDB convenience function to query the database
func queryDB(clnt client.Client, cmd string) (res []client.Result, err error) {
q := client.Query{
Command: cmd,
Database: MyDB,
}
if response, err := clnt.Query(q); err == nil {
if response.Error() != nil {
return res, response.Error()
}
res = response.Results
} else {
return res, err
}
return res, nil
}
```
#### Creating a Database
```go
_, err := queryDB(clnt, fmt.Sprintf("CREATE DATABASE %s", MyDB))
if err != nil {
log.Fatal(err)
}
```
#### Count Records
```go
q := fmt.Sprintf("SELECT count(%s) FROM %s", "value", MyMeasurement)
res, err := queryDB(clnt, q)
if err != nil {
log.Fatal(err)
}
count := res[0].Series[0].Values[0][1]
log.Printf("Found a total of %v records\n", count)
```
#### Find the last 10 _shapes_ records
```go
q := fmt.Sprintf("SELECT * FROM %s LIMIT %d", MyMeasurement, 10)
res, err = queryDB(clnt, q)
if err != nil {
log.Fatal(err)
}
for i, row := range res[0].Series[0].Values {
t, err := time.Parse(time.RFC3339, row[0].(string))
if err != nil {
log.Fatal(err)
}
val := row[1].(string)
log.Printf("[%2d] %s: %s\n", i, t.Format(time.Stamp), val)
}
```
### Using the UDP Client
The **InfluxDB** client also supports writing over UDP.
```go
func WriteUDP() {
// Make client
c, err := client.NewUDPClient("localhost:8089")
if err != nil {
panic(err.Error())
}
// Create a new point batch
bp, _ := client.NewBatchPoints(client.BatchPointsConfig{
Precision: "s",
})
// Create a point and add to batch
tags := map[string]string{"cpu": "cpu-total"}
fields := map[string]interface{}{
"idle": 10.1,
"system": 53.3,
"user": 46.6,
}
pt, err := client.NewPoint("cpu_usage", tags, fields, time.Now())
if err != nil {
panic(err.Error())
}
bp.AddPoint(pt)
// Write the batch
c.Write(bp)
}
```
### Point Splitting
The UDP client now supports splitting single points that exceed the configured
payload size. The logic for processing each point is listed here, starting with
an empty payload.
1. If adding the point to the current (non-empty) payload would exceed the
configured size, send the current payload. Otherwise, add it to the current
payload.
1. If the point is smaller than the configured size, add it to the payload.
1. If the point has no timestamp, just try to send the entire point as a single
UDP payload, and process the next point.
1. Since the point has a timestamp, re-use the existing measurement name,
tagset, and timestamp and create multiple new points by splitting up the
fields. The per-point length will be kept close to the configured size,
staying under it if possible. This does mean that one large field, maybe a
long string, could be sent as a larger-than-configured payload.
The above logic attempts to respect configured payload sizes, but not sacrifice
any data integrity. Points without a timestamp can't be split, as that may
cause fields to have differing timestamps when processed by the server.
## Go Docs
Please refer to
[http://godoc.org/github.com/influxdata/influxdb/client/v2](http://godoc.org/github.com/influxdata/influxdb/client/v2)
for documentation.
## See Also
You can also examine how the client library is used by the
[InfluxDB CLI](https://github.com/influxdata/influxdb/blob/master/cmd/influx/main.go).

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// Package client implements a now-deprecated client for InfluxDB;
// use github.com/influxdata/influxdb/client/v2 instead.
package client // import "github.com/influxdata/influxdb/client"
import (
"bytes"
"context"
"crypto/tls"
"encoding/json"
"errors"
"fmt"
"io"
"io/ioutil"
"net"
"net/http"
"net/url"
"strconv"
"strings"
"time"
"github.com/influxdata/influxdb/models"
)
const (
// DefaultHost is the default host used to connect to an InfluxDB instance
DefaultHost = "localhost"
// DefaultPort is the default port used to connect to an InfluxDB instance
DefaultPort = 8086
// DefaultTimeout is the default connection timeout used to connect to an InfluxDB instance
DefaultTimeout = 0
)
// Query is used to send a command to the server. Both Command and Database are required.
type Query struct {
Command string
Database string
// Chunked tells the server to send back chunked responses. This places
// less load on the server by sending back chunks of the response rather
// than waiting for the entire response all at once.
Chunked bool
// ChunkSize sets the maximum number of rows that will be returned per
// chunk. Chunks are either divided based on their series or if they hit
// the chunk size limit.
//
// Chunked must be set to true for this option to be used.
ChunkSize int
}
// ParseConnectionString will parse a string to create a valid connection URL
func ParseConnectionString(path string, ssl bool) (url.URL, error) {
var host string
var port int
h, p, err := net.SplitHostPort(path)
if err != nil {
if path == "" {
host = DefaultHost
} else {
host = path
}
// If they didn't specify a port, always use the default port
port = DefaultPort
} else {
host = h
port, err = strconv.Atoi(p)
if err != nil {
return url.URL{}, fmt.Errorf("invalid port number %q: %s\n", path, err)
}
}
u := url.URL{
Scheme: "http",
}
if ssl {
u.Scheme = "https"
}
u.Host = net.JoinHostPort(host, strconv.Itoa(port))
return u, nil
}
// Config is used to specify what server to connect to.
// URL: The URL of the server connecting to.
// Username/Password are optional. They will be passed via basic auth if provided.
// UserAgent: If not provided, will default "InfluxDBClient",
// Timeout: If not provided, will default to 0 (no timeout)
type Config struct {
URL url.URL
UnixSocket string
Username string
Password string
UserAgent string
Timeout time.Duration
Precision string
WriteConsistency string
UnsafeSsl bool
}
// NewConfig will create a config to be used in connecting to the client
func NewConfig() Config {
return Config{
Timeout: DefaultTimeout,
}
}
// Client is used to make calls to the server.
type Client struct {
url url.URL
unixSocket string
username string
password string
httpClient *http.Client
userAgent string
precision string
}
const (
// ConsistencyOne requires at least one data node acknowledged a write.
ConsistencyOne = "one"
// ConsistencyAll requires all data nodes to acknowledge a write.
ConsistencyAll = "all"
// ConsistencyQuorum requires a quorum of data nodes to acknowledge a write.
ConsistencyQuorum = "quorum"
// ConsistencyAny allows for hinted hand off, potentially no write happened yet.
ConsistencyAny = "any"
)
// NewClient will instantiate and return a connected client to issue commands to the server.
func NewClient(c Config) (*Client, error) {
tlsConfig := &tls.Config{
InsecureSkipVerify: c.UnsafeSsl,
}
tr := &http.Transport{
TLSClientConfig: tlsConfig,
}
if c.UnixSocket != "" {
// No need for compression in local communications.
tr.DisableCompression = true
tr.DialContext = func(_ context.Context, _, _ string) (net.Conn, error) {
return net.Dial("unix", c.UnixSocket)
}
}
client := Client{
url: c.URL,
unixSocket: c.UnixSocket,
username: c.Username,
password: c.Password,
httpClient: &http.Client{Timeout: c.Timeout, Transport: tr},
userAgent: c.UserAgent,
precision: c.Precision,
}
if client.userAgent == "" {
client.userAgent = "InfluxDBClient"
}
return &client, nil
}
// SetAuth will update the username and passwords
func (c *Client) SetAuth(u, p string) {
c.username = u
c.password = p
}
// SetPrecision will update the precision
func (c *Client) SetPrecision(precision string) {
c.precision = precision
}
// Query sends a command to the server and returns the Response
func (c *Client) Query(q Query) (*Response, error) {
return c.QueryContext(context.Background(), q)
}
// QueryContext sends a command to the server and returns the Response
// It uses a context that can be cancelled by the command line client
func (c *Client) QueryContext(ctx context.Context, q Query) (*Response, error) {
u := c.url
u.Path = "query"
values := u.Query()
values.Set("q", q.Command)
values.Set("db", q.Database)
if q.Chunked {
values.Set("chunked", "true")
if q.ChunkSize > 0 {
values.Set("chunk_size", strconv.Itoa(q.ChunkSize))
}
}
if c.precision != "" {
values.Set("epoch", c.precision)
}
u.RawQuery = values.Encode()
req, err := http.NewRequest("POST", u.String(), nil)
if err != nil {
return nil, err
}
req.Header.Set("User-Agent", c.userAgent)
if c.username != "" {
req.SetBasicAuth(c.username, c.password)
}
req = req.WithContext(ctx)
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
var response Response
if q.Chunked {
cr := NewChunkedResponse(resp.Body)
for {
r, err := cr.NextResponse()
if err != nil {
// If we got an error while decoding the response, send that back.
return nil, err
}
if r == nil {
break
}
response.Results = append(response.Results, r.Results...)
if r.Err != nil {
response.Err = r.Err
break
}
}
} else {
dec := json.NewDecoder(resp.Body)
dec.UseNumber()
if err := dec.Decode(&response); err != nil {
// Ignore EOF errors if we got an invalid status code.
if !(err == io.EOF && resp.StatusCode != http.StatusOK) {
return nil, err
}
}
}
// If we don't have an error in our json response, and didn't get StatusOK,
// then send back an error.
if resp.StatusCode != http.StatusOK && response.Error() == nil {
return &response, fmt.Errorf("received status code %d from server", resp.StatusCode)
}
return &response, nil
}
// Write takes BatchPoints and allows for writing of multiple points with defaults
// If successful, error is nil and Response is nil
// If an error occurs, Response may contain additional information if populated.
func (c *Client) Write(bp BatchPoints) (*Response, error) {
u := c.url
u.Path = "write"
var b bytes.Buffer
for _, p := range bp.Points {
err := checkPointTypes(p)
if err != nil {
return nil, err
}
if p.Raw != "" {
if _, err := b.WriteString(p.Raw); err != nil {
return nil, err
}
} else {
for k, v := range bp.Tags {
if p.Tags == nil {
p.Tags = make(map[string]string, len(bp.Tags))
}
p.Tags[k] = v
}
if _, err := b.WriteString(p.MarshalString()); err != nil {
return nil, err
}
}
if err := b.WriteByte('\n'); err != nil {
return nil, err
}
}
req, err := http.NewRequest("POST", u.String(), &b)
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "")
req.Header.Set("User-Agent", c.userAgent)
if c.username != "" {
req.SetBasicAuth(c.username, c.password)
}
precision := bp.Precision
if precision == "" {
precision = "ns"
}
params := req.URL.Query()
params.Set("db", bp.Database)
params.Set("rp", bp.RetentionPolicy)
params.Set("precision", precision)
params.Set("consistency", bp.WriteConsistency)
req.URL.RawQuery = params.Encode()
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
var response Response
body, err := ioutil.ReadAll(resp.Body)
if err != nil {
return nil, err
}
if resp.StatusCode != http.StatusNoContent && resp.StatusCode != http.StatusOK {
var err = fmt.Errorf(string(body))
response.Err = err
return &response, err
}
return nil, nil
}
// WriteLineProtocol takes a string with line returns to delimit each write
// If successful, error is nil and Response is nil
// If an error occurs, Response may contain additional information if populated.
func (c *Client) WriteLineProtocol(data, database, retentionPolicy, precision, writeConsistency string) (*Response, error) {
u := c.url
u.Path = "write"
r := strings.NewReader(data)
req, err := http.NewRequest("POST", u.String(), r)
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "")
req.Header.Set("User-Agent", c.userAgent)
if c.username != "" {
req.SetBasicAuth(c.username, c.password)
}
params := req.URL.Query()
params.Set("db", database)
params.Set("rp", retentionPolicy)
params.Set("precision", precision)
params.Set("consistency", writeConsistency)
req.URL.RawQuery = params.Encode()
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
var response Response
body, err := ioutil.ReadAll(resp.Body)
if err != nil {
return nil, err
}
if resp.StatusCode != http.StatusNoContent && resp.StatusCode != http.StatusOK {
err := fmt.Errorf(string(body))
response.Err = err
return &response, err
}
return nil, nil
}
// Ping will check to see if the server is up
// Ping returns how long the request took, the version of the server it connected to, and an error if one occurred.
func (c *Client) Ping() (time.Duration, string, error) {
now := time.Now()
u := c.url
u.Path = "ping"
req, err := http.NewRequest("GET", u.String(), nil)
if err != nil {
return 0, "", err
}
req.Header.Set("User-Agent", c.userAgent)
if c.username != "" {
req.SetBasicAuth(c.username, c.password)
}
resp, err := c.httpClient.Do(req)
if err != nil {
return 0, "", err
}
defer resp.Body.Close()
version := resp.Header.Get("X-Influxdb-Version")
return time.Since(now), version, nil
}
// Structs
// Message represents a user message.
type Message struct {
Level string `json:"level,omitempty"`
Text string `json:"text,omitempty"`
}
// Result represents a resultset returned from a single statement.
type Result struct {
Series []models.Row
Messages []*Message
Err error
}
// MarshalJSON encodes the result into JSON.
func (r *Result) MarshalJSON() ([]byte, error) {
// Define a struct that outputs "error" as a string.
var o struct {
Series []models.Row `json:"series,omitempty"`
Messages []*Message `json:"messages,omitempty"`
Err string `json:"error,omitempty"`
}
// Copy fields to output struct.
o.Series = r.Series
o.Messages = r.Messages
if r.Err != nil {
o.Err = r.Err.Error()
}
return json.Marshal(&o)
}
// UnmarshalJSON decodes the data into the Result struct
func (r *Result) UnmarshalJSON(b []byte) error {
var o struct {
Series []models.Row `json:"series,omitempty"`
Messages []*Message `json:"messages,omitempty"`
Err string `json:"error,omitempty"`
}
dec := json.NewDecoder(bytes.NewBuffer(b))
dec.UseNumber()
err := dec.Decode(&o)
if err != nil {
return err
}
r.Series = o.Series
r.Messages = o.Messages
if o.Err != "" {
r.Err = errors.New(o.Err)
}
return nil
}
// Response represents a list of statement results.
type Response struct {
Results []Result
Err error
}
// MarshalJSON encodes the response into JSON.
func (r *Response) MarshalJSON() ([]byte, error) {
// Define a struct that outputs "error" as a string.
var o struct {
Results []Result `json:"results,omitempty"`
Err string `json:"error,omitempty"`
}
// Copy fields to output struct.
o.Results = r.Results
if r.Err != nil {
o.Err = r.Err.Error()
}
return json.Marshal(&o)
}
// UnmarshalJSON decodes the data into the Response struct
func (r *Response) UnmarshalJSON(b []byte) error {
var o struct {
Results []Result `json:"results,omitempty"`
Err string `json:"error,omitempty"`
}
dec := json.NewDecoder(bytes.NewBuffer(b))
dec.UseNumber()
err := dec.Decode(&o)
if err != nil {
return err
}
r.Results = o.Results
if o.Err != "" {
r.Err = errors.New(o.Err)
}
return nil
}
// Error returns the first error from any statement.
// Returns nil if no errors occurred on any statements.
func (r *Response) Error() error {
if r.Err != nil {
return r.Err
}
for _, result := range r.Results {
if result.Err != nil {
return result.Err
}
}
return nil
}
// duplexReader reads responses and writes it to another writer while
// satisfying the reader interface.
type duplexReader struct {
r io.Reader
w io.Writer
}
func (r *duplexReader) Read(p []byte) (n int, err error) {
n, err = r.r.Read(p)
if err == nil {
r.w.Write(p[:n])
}
return n, err
}
// ChunkedResponse represents a response from the server that
// uses chunking to stream the output.
type ChunkedResponse struct {
dec *json.Decoder
duplex *duplexReader
buf bytes.Buffer
}
// NewChunkedResponse reads a stream and produces responses from the stream.
func NewChunkedResponse(r io.Reader) *ChunkedResponse {
resp := &ChunkedResponse{}
resp.duplex = &duplexReader{r: r, w: &resp.buf}
resp.dec = json.NewDecoder(resp.duplex)
resp.dec.UseNumber()
return resp
}
// NextResponse reads the next line of the stream and returns a response.
func (r *ChunkedResponse) NextResponse() (*Response, error) {
var response Response
if err := r.dec.Decode(&response); err != nil {
if err == io.EOF {
return nil, nil
}
// A decoding error happened. This probably means the server crashed
// and sent a last-ditch error message to us. Ensure we have read the
// entirety of the connection to get any remaining error text.
io.Copy(ioutil.Discard, r.duplex)
return nil, errors.New(strings.TrimSpace(r.buf.String()))
}
r.buf.Reset()
return &response, nil
}
// Point defines the fields that will be written to the database
// Measurement, Time, and Fields are required
// Precision can be specified if the time is in epoch format (integer).
// Valid values for Precision are n, u, ms, s, m, and h
type Point struct {
Measurement string
Tags map[string]string
Time time.Time
Fields map[string]interface{}
Precision string
Raw string
}
// MarshalJSON will format the time in RFC3339Nano
// Precision is also ignored as it is only used for writing, not reading
// Or another way to say it is we always send back in nanosecond precision
func (p *Point) MarshalJSON() ([]byte, error) {
point := struct {
Measurement string `json:"measurement,omitempty"`
Tags map[string]string `json:"tags,omitempty"`
Time string `json:"time,omitempty"`
Fields map[string]interface{} `json:"fields,omitempty"`
Precision string `json:"precision,omitempty"`
}{
Measurement: p.Measurement,
Tags: p.Tags,
Fields: p.Fields,
Precision: p.Precision,
}
// Let it omit empty if it's really zero
if !p.Time.IsZero() {
point.Time = p.Time.UTC().Format(time.RFC3339Nano)
}
return json.Marshal(&point)
}
// MarshalString renders string representation of a Point with specified
// precision. The default precision is nanoseconds.
func (p *Point) MarshalString() string {
pt, err := models.NewPoint(p.Measurement, models.NewTags(p.Tags), p.Fields, p.Time)
if err != nil {
return "# ERROR: " + err.Error() + " " + p.Measurement
}
if p.Precision == "" || p.Precision == "ns" || p.Precision == "n" {
return pt.String()
}
return pt.PrecisionString(p.Precision)
}
// UnmarshalJSON decodes the data into the Point struct
func (p *Point) UnmarshalJSON(b []byte) error {
var normal struct {
Measurement string `json:"measurement"`
Tags map[string]string `json:"tags"`
Time time.Time `json:"time"`
Precision string `json:"precision"`
Fields map[string]interface{} `json:"fields"`
}
var epoch struct {
Measurement string `json:"measurement"`
Tags map[string]string `json:"tags"`
Time *int64 `json:"time"`
Precision string `json:"precision"`
Fields map[string]interface{} `json:"fields"`
}
if err := func() error {
var err error
dec := json.NewDecoder(bytes.NewBuffer(b))
dec.UseNumber()
if err = dec.Decode(&epoch); err != nil {
return err
}
// Convert from epoch to time.Time, but only if Time
// was actually set.
var ts time.Time
if epoch.Time != nil {
ts, err = EpochToTime(*epoch.Time, epoch.Precision)
if err != nil {
return err
}
}
p.Measurement = epoch.Measurement
p.Tags = epoch.Tags
p.Time = ts
p.Precision = epoch.Precision
p.Fields = normalizeFields(epoch.Fields)
return nil
}(); err == nil {
return nil
}
dec := json.NewDecoder(bytes.NewBuffer(b))
dec.UseNumber()
if err := dec.Decode(&normal); err != nil {
return err
}
normal.Time = SetPrecision(normal.Time, normal.Precision)
p.Measurement = normal.Measurement
p.Tags = normal.Tags
p.Time = normal.Time
p.Precision = normal.Precision
p.Fields = normalizeFields(normal.Fields)
return nil
}
// Remove any notion of json.Number
func normalizeFields(fields map[string]interface{}) map[string]interface{} {
newFields := map[string]interface{}{}
for k, v := range fields {
switch v := v.(type) {
case json.Number:
jv, e := v.Float64()
if e != nil {
panic(fmt.Sprintf("unable to convert json.Number to float64: %s", e))
}
newFields[k] = jv
default:
newFields[k] = v
}
}
return newFields
}
// BatchPoints is used to send batched data in a single write.
// Database and Points are required
// If no retention policy is specified, it will use the databases default retention policy.
// If tags are specified, they will be "merged" with all points. If a point already has that tag, it will be ignored.
// If time is specified, it will be applied to any point with an empty time.
// Precision can be specified if the time is in epoch format (integer).
// Valid values for Precision are n, u, ms, s, m, and h
type BatchPoints struct {
Points []Point `json:"points,omitempty"`
Database string `json:"database,omitempty"`
RetentionPolicy string `json:"retentionPolicy,omitempty"`
Tags map[string]string `json:"tags,omitempty"`
Time time.Time `json:"time,omitempty"`
Precision string `json:"precision,omitempty"`
WriteConsistency string `json:"-"`
}
// UnmarshalJSON decodes the data into the BatchPoints struct
func (bp *BatchPoints) UnmarshalJSON(b []byte) error {
var normal struct {
Points []Point `json:"points"`
Database string `json:"database"`
RetentionPolicy string `json:"retentionPolicy"`
Tags map[string]string `json:"tags"`
Time time.Time `json:"time"`
Precision string `json:"precision"`
}
var epoch struct {
Points []Point `json:"points"`
Database string `json:"database"`
RetentionPolicy string `json:"retentionPolicy"`
Tags map[string]string `json:"tags"`
Time *int64 `json:"time"`
Precision string `json:"precision"`
}
if err := func() error {
var err error
if err = json.Unmarshal(b, &epoch); err != nil {
return err
}
// Convert from epoch to time.Time
var ts time.Time
if epoch.Time != nil {
ts, err = EpochToTime(*epoch.Time, epoch.Precision)
if err != nil {
return err
}
}
bp.Points = epoch.Points
bp.Database = epoch.Database
bp.RetentionPolicy = epoch.RetentionPolicy
bp.Tags = epoch.Tags
bp.Time = ts
bp.Precision = epoch.Precision
return nil
}(); err == nil {
return nil
}
if err := json.Unmarshal(b, &normal); err != nil {
return err
}
normal.Time = SetPrecision(normal.Time, normal.Precision)
bp.Points = normal.Points
bp.Database = normal.Database
bp.RetentionPolicy = normal.RetentionPolicy
bp.Tags = normal.Tags
bp.Time = normal.Time
bp.Precision = normal.Precision
return nil
}
// utility functions
// Addr provides the current url as a string of the server the client is connected to.
func (c *Client) Addr() string {
if c.unixSocket != "" {
return c.unixSocket
}
return c.url.String()
}
// checkPointTypes ensures no unsupported types are submitted to influxdb, returning error if they are found.
func checkPointTypes(p Point) error {
for _, v := range p.Fields {
switch v.(type) {
case int, int8, int16, int32, int64, uint, uint8, uint16, uint32, uint64, float32, float64, bool, string, nil:
return nil
default:
return fmt.Errorf("unsupported point type: %T", v)
}
}
return nil
}
// helper functions
// EpochToTime takes a unix epoch time and uses precision to return back a time.Time
func EpochToTime(epoch int64, precision string) (time.Time, error) {
if precision == "" {
precision = "s"
}
var t time.Time
switch precision {
case "h":
t = time.Unix(0, epoch*int64(time.Hour))
case "m":
t = time.Unix(0, epoch*int64(time.Minute))
case "s":
t = time.Unix(0, epoch*int64(time.Second))
case "ms":
t = time.Unix(0, epoch*int64(time.Millisecond))
case "u":
t = time.Unix(0, epoch*int64(time.Microsecond))
case "n":
t = time.Unix(0, epoch)
default:
return time.Time{}, fmt.Errorf("Unknown precision %q", precision)
}
return t, nil
}
// SetPrecision will round a time to the specified precision
func SetPrecision(t time.Time, precision string) time.Time {
switch precision {
case "n":
case "u":
return t.Round(time.Microsecond)
case "ms":
return t.Round(time.Millisecond)
case "s":
return t.Round(time.Second)
case "m":
return t.Round(time.Minute)
case "h":
return t.Round(time.Hour)
}
return t
}

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vendor/github.com/influxdata/influxdb/client/v2/client.go generated vendored Normal file
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@ -0,0 +1,635 @@
// Package client (v2) is the current official Go client for InfluxDB.
package client // import "github.com/influxdata/influxdb/client/v2"
import (
"bytes"
"crypto/tls"
"encoding/json"
"errors"
"fmt"
"io"
"io/ioutil"
"mime"
"net/http"
"net/url"
"strconv"
"strings"
"time"
"github.com/influxdata/influxdb/models"
)
// HTTPConfig is the config data needed to create an HTTP Client.
type HTTPConfig struct {
// Addr should be of the form "http://host:port"
// or "http://[ipv6-host%zone]:port".
Addr string
// Username is the influxdb username, optional.
Username string
// Password is the influxdb password, optional.
Password string
// UserAgent is the http User Agent, defaults to "InfluxDBClient".
UserAgent string
// Timeout for influxdb writes, defaults to no timeout.
Timeout time.Duration
// InsecureSkipVerify gets passed to the http client, if true, it will
// skip https certificate verification. Defaults to false.
InsecureSkipVerify bool
// TLSConfig allows the user to set their own TLS config for the HTTP
// Client. If set, this option overrides InsecureSkipVerify.
TLSConfig *tls.Config
}
// BatchPointsConfig is the config data needed to create an instance of the BatchPoints struct.
type BatchPointsConfig struct {
// Precision is the write precision of the points, defaults to "ns".
Precision string
// Database is the database to write points to.
Database string
// RetentionPolicy is the retention policy of the points.
RetentionPolicy string
// Write consistency is the number of servers required to confirm write.
WriteConsistency string
}
// Client is a client interface for writing & querying the database.
type Client interface {
// Ping checks that status of cluster, and will always return 0 time and no
// error for UDP clients.
Ping(timeout time.Duration) (time.Duration, string, error)
// Write takes a BatchPoints object and writes all Points to InfluxDB.
Write(bp BatchPoints) error
// Query makes an InfluxDB Query on the database. This will fail if using
// the UDP client.
Query(q Query) (*Response, error)
// Close releases any resources a Client may be using.
Close() error
}
// NewHTTPClient returns a new Client from the provided config.
// Client is safe for concurrent use by multiple goroutines.
func NewHTTPClient(conf HTTPConfig) (Client, error) {
if conf.UserAgent == "" {
conf.UserAgent = "InfluxDBClient"
}
u, err := url.Parse(conf.Addr)
if err != nil {
return nil, err
} else if u.Scheme != "http" && u.Scheme != "https" {
m := fmt.Sprintf("Unsupported protocol scheme: %s, your address"+
" must start with http:// or https://", u.Scheme)
return nil, errors.New(m)
}
tr := &http.Transport{
TLSClientConfig: &tls.Config{
InsecureSkipVerify: conf.InsecureSkipVerify,
},
}
if conf.TLSConfig != nil {
tr.TLSClientConfig = conf.TLSConfig
}
return &client{
url: *u,
username: conf.Username,
password: conf.Password,
useragent: conf.UserAgent,
httpClient: &http.Client{
Timeout: conf.Timeout,
Transport: tr,
},
transport: tr,
}, nil
}
// Ping will check to see if the server is up with an optional timeout on waiting for leader.
// Ping returns how long the request took, the version of the server it connected to, and an error if one occurred.
func (c *client) Ping(timeout time.Duration) (time.Duration, string, error) {
now := time.Now()
u := c.url
u.Path = "ping"
req, err := http.NewRequest("GET", u.String(), nil)
if err != nil {
return 0, "", err
}
req.Header.Set("User-Agent", c.useragent)
if c.username != "" {
req.SetBasicAuth(c.username, c.password)
}
if timeout > 0 {
params := req.URL.Query()
params.Set("wait_for_leader", fmt.Sprintf("%.0fs", timeout.Seconds()))
req.URL.RawQuery = params.Encode()
}
resp, err := c.httpClient.Do(req)
if err != nil {
return 0, "", err
}
defer resp.Body.Close()
body, err := ioutil.ReadAll(resp.Body)
if err != nil {
return 0, "", err
}
if resp.StatusCode != http.StatusNoContent {
var err = fmt.Errorf(string(body))
return 0, "", err
}
version := resp.Header.Get("X-Influxdb-Version")
return time.Since(now), version, nil
}
// Close releases the client's resources.
func (c *client) Close() error {
c.transport.CloseIdleConnections()
return nil
}
// client is safe for concurrent use as the fields are all read-only
// once the client is instantiated.
type client struct {
// N.B - if url.UserInfo is accessed in future modifications to the
// methods on client, you will need to syncronise access to url.
url url.URL
username string
password string
useragent string
httpClient *http.Client
transport *http.Transport
}
// BatchPoints is an interface into a batched grouping of points to write into
// InfluxDB together. BatchPoints is NOT thread-safe, you must create a separate
// batch for each goroutine.
type BatchPoints interface {
// AddPoint adds the given point to the Batch of points.
AddPoint(p *Point)
// AddPoints adds the given points to the Batch of points.
AddPoints(ps []*Point)
// Points lists the points in the Batch.
Points() []*Point
// Precision returns the currently set precision of this Batch.
Precision() string
// SetPrecision sets the precision of this batch.
SetPrecision(s string) error
// Database returns the currently set database of this Batch.
Database() string
// SetDatabase sets the database of this Batch.
SetDatabase(s string)
// WriteConsistency returns the currently set write consistency of this Batch.
WriteConsistency() string
// SetWriteConsistency sets the write consistency of this Batch.
SetWriteConsistency(s string)
// RetentionPolicy returns the currently set retention policy of this Batch.
RetentionPolicy() string
// SetRetentionPolicy sets the retention policy of this Batch.
SetRetentionPolicy(s string)
}
// NewBatchPoints returns a BatchPoints interface based on the given config.
func NewBatchPoints(conf BatchPointsConfig) (BatchPoints, error) {
if conf.Precision == "" {
conf.Precision = "ns"
}
if _, err := time.ParseDuration("1" + conf.Precision); err != nil {
return nil, err
}
bp := &batchpoints{
database: conf.Database,
precision: conf.Precision,
retentionPolicy: conf.RetentionPolicy,
writeConsistency: conf.WriteConsistency,
}
return bp, nil
}
type batchpoints struct {
points []*Point
database string
precision string
retentionPolicy string
writeConsistency string
}
func (bp *batchpoints) AddPoint(p *Point) {
bp.points = append(bp.points, p)
}
func (bp *batchpoints) AddPoints(ps []*Point) {
bp.points = append(bp.points, ps...)
}
func (bp *batchpoints) Points() []*Point {
return bp.points
}
func (bp *batchpoints) Precision() string {
return bp.precision
}
func (bp *batchpoints) Database() string {
return bp.database
}
func (bp *batchpoints) WriteConsistency() string {
return bp.writeConsistency
}
func (bp *batchpoints) RetentionPolicy() string {
return bp.retentionPolicy
}
func (bp *batchpoints) SetPrecision(p string) error {
if _, err := time.ParseDuration("1" + p); err != nil {
return err
}
bp.precision = p
return nil
}
func (bp *batchpoints) SetDatabase(db string) {
bp.database = db
}
func (bp *batchpoints) SetWriteConsistency(wc string) {
bp.writeConsistency = wc
}
func (bp *batchpoints) SetRetentionPolicy(rp string) {
bp.retentionPolicy = rp
}
// Point represents a single data point.
type Point struct {
pt models.Point
}
// NewPoint returns a point with the given timestamp. If a timestamp is not
// given, then data is sent to the database without a timestamp, in which case
// the server will assign local time upon reception. NOTE: it is recommended to
// send data with a timestamp.
func NewPoint(
name string,
tags map[string]string,
fields map[string]interface{},
t ...time.Time,
) (*Point, error) {
var T time.Time
if len(t) > 0 {
T = t[0]
}
pt, err := models.NewPoint(name, models.NewTags(tags), fields, T)
if err != nil {
return nil, err
}
return &Point{
pt: pt,
}, nil
}
// String returns a line-protocol string of the Point.
func (p *Point) String() string {
return p.pt.String()
}
// PrecisionString returns a line-protocol string of the Point,
// with the timestamp formatted for the given precision.
func (p *Point) PrecisionString(precison string) string {
return p.pt.PrecisionString(precison)
}
// Name returns the measurement name of the point.
func (p *Point) Name() string {
return string(p.pt.Name())
}
// Tags returns the tags associated with the point.
func (p *Point) Tags() map[string]string {
return p.pt.Tags().Map()
}
// Time return the timestamp for the point.
func (p *Point) Time() time.Time {
return p.pt.Time()
}
// UnixNano returns timestamp of the point in nanoseconds since Unix epoch.
func (p *Point) UnixNano() int64 {
return p.pt.UnixNano()
}
// Fields returns the fields for the point.
func (p *Point) Fields() (map[string]interface{}, error) {
return p.pt.Fields()
}
// NewPointFrom returns a point from the provided models.Point.
func NewPointFrom(pt models.Point) *Point {
return &Point{pt: pt}
}
func (c *client) Write(bp BatchPoints) error {
var b bytes.Buffer
for _, p := range bp.Points() {
if _, err := b.WriteString(p.pt.PrecisionString(bp.Precision())); err != nil {
return err
}
if err := b.WriteByte('\n'); err != nil {
return err
}
}
u := c.url
u.Path = "write"
req, err := http.NewRequest("POST", u.String(), &b)
if err != nil {
return err
}
req.Header.Set("Content-Type", "")
req.Header.Set("User-Agent", c.useragent)
if c.username != "" {
req.SetBasicAuth(c.username, c.password)
}
params := req.URL.Query()
params.Set("db", bp.Database())
params.Set("rp", bp.RetentionPolicy())
params.Set("precision", bp.Precision())
params.Set("consistency", bp.WriteConsistency())
req.URL.RawQuery = params.Encode()
resp, err := c.httpClient.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
body, err := ioutil.ReadAll(resp.Body)
if err != nil {
return err
}
if resp.StatusCode != http.StatusNoContent && resp.StatusCode != http.StatusOK {
var err = fmt.Errorf(string(body))
return err
}
return nil
}
// Query defines a query to send to the server.
type Query struct {
Command string
Database string
Precision string
Chunked bool
ChunkSize int
Parameters map[string]interface{}
}
// NewQuery returns a query object.
// The database and precision arguments can be empty strings if they are not needed for the query.
func NewQuery(command, database, precision string) Query {
return Query{
Command: command,
Database: database,
Precision: precision,
Parameters: make(map[string]interface{}),
}
}
// NewQueryWithParameters returns a query object.
// The database and precision arguments can be empty strings if they are not needed for the query.
// parameters is a map of the parameter names used in the command to their values.
func NewQueryWithParameters(command, database, precision string, parameters map[string]interface{}) Query {
return Query{
Command: command,
Database: database,
Precision: precision,
Parameters: parameters,
}
}
// Response represents a list of statement results.
type Response struct {
Results []Result
Err string `json:"error,omitempty"`
}
// Error returns the first error from any statement.
// It returns nil if no errors occurred on any statements.
func (r *Response) Error() error {
if r.Err != "" {
return fmt.Errorf(r.Err)
}
for _, result := range r.Results {
if result.Err != "" {
return fmt.Errorf(result.Err)
}
}
return nil
}
// Message represents a user message.
type Message struct {
Level string
Text string
}
// Result represents a resultset returned from a single statement.
type Result struct {
Series []models.Row
Messages []*Message
Err string `json:"error,omitempty"`
}
// Query sends a command to the server and returns the Response.
func (c *client) Query(q Query) (*Response, error) {
u := c.url
u.Path = "query"
jsonParameters, err := json.Marshal(q.Parameters)
if err != nil {
return nil, err
}
req, err := http.NewRequest("POST", u.String(), nil)
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "")
req.Header.Set("User-Agent", c.useragent)
if c.username != "" {
req.SetBasicAuth(c.username, c.password)
}
params := req.URL.Query()
params.Set("q", q.Command)
params.Set("db", q.Database)
params.Set("params", string(jsonParameters))
if q.Chunked {
params.Set("chunked", "true")
if q.ChunkSize > 0 {
params.Set("chunk_size", strconv.Itoa(q.ChunkSize))
}
}
if q.Precision != "" {
params.Set("epoch", q.Precision)
}
req.URL.RawQuery = params.Encode()
resp, err := c.httpClient.Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
// If we lack a X-Influxdb-Version header, then we didn't get a response from influxdb
// but instead some other service. If the error code is also a 500+ code, then some
// downstream loadbalancer/proxy/etc had an issue and we should report that.
if resp.Header.Get("X-Influxdb-Version") == "" && resp.StatusCode >= http.StatusInternalServerError {
body, err := ioutil.ReadAll(resp.Body)
if err != nil || len(body) == 0 {
return nil, fmt.Errorf("received status code %d from downstream server", resp.StatusCode)
}
return nil, fmt.Errorf("received status code %d from downstream server, with response body: %q", resp.StatusCode, body)
}
// If we get an unexpected content type, then it is also not from influx direct and therefore
// we want to know what we received and what status code was returned for debugging purposes.
if cType, _, _ := mime.ParseMediaType(resp.Header.Get("Content-Type")); cType != "application/json" {
// Read up to 1kb of the body to help identify downstream errors and limit the impact of things
// like downstream serving a large file
body, err := ioutil.ReadAll(io.LimitReader(resp.Body, 1024))
if err != nil || len(body) == 0 {
return nil, fmt.Errorf("expected json response, got empty body, with status: %v", resp.StatusCode)
}
return nil, fmt.Errorf("expected json response, got %q, with status: %v and response body: %q", cType, resp.StatusCode, body)
}
var response Response
if q.Chunked {
cr := NewChunkedResponse(resp.Body)
for {
r, err := cr.NextResponse()
if err != nil {
// If we got an error while decoding the response, send that back.
return nil, err
}
if r == nil {
break
}
response.Results = append(response.Results, r.Results...)
if r.Err != "" {
response.Err = r.Err
break
}
}
} else {
dec := json.NewDecoder(resp.Body)
dec.UseNumber()
decErr := dec.Decode(&response)
// ignore this error if we got an invalid status code
if decErr != nil && decErr.Error() == "EOF" && resp.StatusCode != http.StatusOK {
decErr = nil
}
// If we got a valid decode error, send that back
if decErr != nil {
return nil, fmt.Errorf("unable to decode json: received status code %d err: %s", resp.StatusCode, decErr)
}
}
// If we don't have an error in our json response, and didn't get statusOK
// then send back an error
if resp.StatusCode != http.StatusOK && response.Error() == nil {
return &response, fmt.Errorf("received status code %d from server", resp.StatusCode)
}
return &response, nil
}
// duplexReader reads responses and writes it to another writer while
// satisfying the reader interface.
type duplexReader struct {
r io.Reader
w io.Writer
}
func (r *duplexReader) Read(p []byte) (n int, err error) {
n, err = r.r.Read(p)
if err == nil {
r.w.Write(p[:n])
}
return n, err
}
// ChunkedResponse represents a response from the server that
// uses chunking to stream the output.
type ChunkedResponse struct {
dec *json.Decoder
duplex *duplexReader
buf bytes.Buffer
}
// NewChunkedResponse reads a stream and produces responses from the stream.
func NewChunkedResponse(r io.Reader) *ChunkedResponse {
resp := &ChunkedResponse{}
resp.duplex = &duplexReader{r: r, w: &resp.buf}
resp.dec = json.NewDecoder(resp.duplex)
resp.dec.UseNumber()
return resp
}
// NextResponse reads the next line of the stream and returns a response.
func (r *ChunkedResponse) NextResponse() (*Response, error) {
var response Response
if err := r.dec.Decode(&response); err != nil {
if err == io.EOF {
return nil, nil
}
// A decoding error happened. This probably means the server crashed
// and sent a last-ditch error message to us. Ensure we have read the
// entirety of the connection to get any remaining error text.
io.Copy(ioutil.Discard, r.duplex)
return nil, errors.New(strings.TrimSpace(r.buf.String()))
}
r.buf.Reset()
return &response, nil
}

112
vendor/github.com/influxdata/influxdb/client/v2/udp.go generated vendored Normal file
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package client
import (
"fmt"
"io"
"net"
"time"
)
const (
// UDPPayloadSize is a reasonable default payload size for UDP packets that
// could be travelling over the internet.
UDPPayloadSize = 512
)
// UDPConfig is the config data needed to create a UDP Client.
type UDPConfig struct {
// Addr should be of the form "host:port"
// or "[ipv6-host%zone]:port".
Addr string
// PayloadSize is the maximum size of a UDP client message, optional
// Tune this based on your network. Defaults to UDPPayloadSize.
PayloadSize int
}
// NewUDPClient returns a client interface for writing to an InfluxDB UDP
// service from the given config.
func NewUDPClient(conf UDPConfig) (Client, error) {
var udpAddr *net.UDPAddr
udpAddr, err := net.ResolveUDPAddr("udp", conf.Addr)
if err != nil {
return nil, err
}
conn, err := net.DialUDP("udp", nil, udpAddr)
if err != nil {
return nil, err
}
payloadSize := conf.PayloadSize
if payloadSize == 0 {
payloadSize = UDPPayloadSize
}
return &udpclient{
conn: conn,
payloadSize: payloadSize,
}, nil
}
// Close releases the udpclient's resources.
func (uc *udpclient) Close() error {
return uc.conn.Close()
}
type udpclient struct {
conn io.WriteCloser
payloadSize int
}
func (uc *udpclient) Write(bp BatchPoints) error {
var b = make([]byte, 0, uc.payloadSize) // initial buffer size, it will grow as needed
var d, _ = time.ParseDuration("1" + bp.Precision())
var delayedError error
var checkBuffer = func(n int) {
if len(b) > 0 && len(b)+n > uc.payloadSize {
if _, err := uc.conn.Write(b); err != nil {
delayedError = err
}
b = b[:0]
}
}
for _, p := range bp.Points() {
p.pt.Round(d)
pointSize := p.pt.StringSize() + 1 // include newline in size
//point := p.pt.RoundedString(d) + "\n"
checkBuffer(pointSize)
if p.Time().IsZero() || pointSize <= uc.payloadSize {
b = p.pt.AppendString(b)
b = append(b, '\n')
continue
}
points := p.pt.Split(uc.payloadSize - 1) // account for newline character
for _, sp := range points {
checkBuffer(sp.StringSize() + 1)
b = sp.AppendString(b)
b = append(b, '\n')
}
}
if len(b) > 0 {
if _, err := uc.conn.Write(b); err != nil {
return err
}
}
return delayedError
}
func (uc *udpclient) Query(q Query) (*Response, error) {
return nil, fmt.Errorf("Querying via UDP is not supported")
}
func (uc *udpclient) Ping(timeout time.Duration) (time.Duration, string, error) {
return 0, "", nil
}

48
vendor/github.com/influxdata/influxdb/models/consistency.go generated vendored Normal file
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@ -0,0 +1,48 @@
package models
import (
"errors"
"strings"
)
// ConsistencyLevel represent a required replication criteria before a write can
// be returned as successful.
//
// The consistency level is handled in open-source InfluxDB but only applicable to clusters.
type ConsistencyLevel int
const (
// ConsistencyLevelAny allows for hinted handoff, potentially no write happened yet.
ConsistencyLevelAny ConsistencyLevel = iota
// ConsistencyLevelOne requires at least one data node acknowledged a write.
ConsistencyLevelOne
// ConsistencyLevelQuorum requires a quorum of data nodes to acknowledge a write.
ConsistencyLevelQuorum
// ConsistencyLevelAll requires all data nodes to acknowledge a write.
ConsistencyLevelAll
)
var (
// ErrInvalidConsistencyLevel is returned when parsing the string version
// of a consistency level.
ErrInvalidConsistencyLevel = errors.New("invalid consistency level")
)
// ParseConsistencyLevel converts a consistency level string to the corresponding ConsistencyLevel const.
func ParseConsistencyLevel(level string) (ConsistencyLevel, error) {
switch strings.ToLower(level) {
case "any":
return ConsistencyLevelAny, nil
case "one":
return ConsistencyLevelOne, nil
case "quorum":
return ConsistencyLevelQuorum, nil
case "all":
return ConsistencyLevelAll, nil
default:
return 0, ErrInvalidConsistencyLevel
}
}

32
vendor/github.com/influxdata/influxdb/models/inline_fnv.go generated vendored Normal file
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@ -0,0 +1,32 @@
package models // import "github.com/influxdata/influxdb/models"
// from stdlib hash/fnv/fnv.go
const (
prime64 = 1099511628211
offset64 = 14695981039346656037
)
// InlineFNV64a is an alloc-free port of the standard library's fnv64a.
// See https://en.wikipedia.org/wiki/Fowler%E2%80%93Noll%E2%80%93Vo_hash_function.
type InlineFNV64a uint64
// NewInlineFNV64a returns a new instance of InlineFNV64a.
func NewInlineFNV64a() InlineFNV64a {
return offset64
}
// Write adds data to the running hash.
func (s *InlineFNV64a) Write(data []byte) (int, error) {
hash := uint64(*s)
for _, c := range data {
hash ^= uint64(c)
hash *= prime64
}
*s = InlineFNV64a(hash)
return len(data), nil
}
// Sum64 returns the uint64 of the current resulting hash.
func (s *InlineFNV64a) Sum64() uint64 {
return uint64(*s)
}

44
vendor/github.com/influxdata/influxdb/models/inline_strconv_parse.go generated vendored Normal file
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package models // import "github.com/influxdata/influxdb/models"
import (
"reflect"
"strconv"
"unsafe"
)
// parseIntBytes is a zero-alloc wrapper around strconv.ParseInt.
func parseIntBytes(b []byte, base int, bitSize int) (i int64, err error) {
s := unsafeBytesToString(b)
return strconv.ParseInt(s, base, bitSize)
}
// parseUintBytes is a zero-alloc wrapper around strconv.ParseUint.
func parseUintBytes(b []byte, base int, bitSize int) (i uint64, err error) {
s := unsafeBytesToString(b)
return strconv.ParseUint(s, base, bitSize)
}
// parseFloatBytes is a zero-alloc wrapper around strconv.ParseFloat.
func parseFloatBytes(b []byte, bitSize int) (float64, error) {
s := unsafeBytesToString(b)
return strconv.ParseFloat(s, bitSize)
}
// parseBoolBytes is a zero-alloc wrapper around strconv.ParseBool.
func parseBoolBytes(b []byte) (bool, error) {
return strconv.ParseBool(unsafeBytesToString(b))
}
// unsafeBytesToString converts a []byte to a string without a heap allocation.
//
// It is unsafe, and is intended to prepare input to short-lived functions
// that require strings.
func unsafeBytesToString(in []byte) string {
src := *(*reflect.SliceHeader)(unsafe.Pointer(&in))
dst := reflect.StringHeader{
Data: src.Data,
Len: src.Len,
}
s := *(*string)(unsafe.Pointer(&dst))
return s
}

2337
vendor/github.com/influxdata/influxdb/models/points.go generated vendored Normal file
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62
vendor/github.com/influxdata/influxdb/models/rows.go generated vendored Normal file
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package models
import (
"sort"
)
// Row represents a single row returned from the execution of a statement.
type Row struct {
Name string `json:"name,omitempty"`
Tags map[string]string `json:"tags,omitempty"`
Columns []string `json:"columns,omitempty"`
Values [][]interface{} `json:"values,omitempty"`
Partial bool `json:"partial,omitempty"`
}
// SameSeries returns true if r contains values for the same series as o.
func (r *Row) SameSeries(o *Row) bool {
return r.tagsHash() == o.tagsHash() && r.Name == o.Name
}
// tagsHash returns a hash of tag key/value pairs.
func (r *Row) tagsHash() uint64 {
h := NewInlineFNV64a()
keys := r.tagsKeys()
for _, k := range keys {
h.Write([]byte(k))
h.Write([]byte(r.Tags[k]))
}
return h.Sum64()
}
// tagKeys returns a sorted list of tag keys.
func (r *Row) tagsKeys() []string {
a := make([]string, 0, len(r.Tags))
for k := range r.Tags {
a = append(a, k)
}
sort.Strings(a)
return a
}
// Rows represents a collection of rows. Rows implements sort.Interface.
type Rows []*Row
// Len implements sort.Interface.
func (p Rows) Len() int { return len(p) }
// Less implements sort.Interface.
func (p Rows) Less(i, j int) bool {
// Sort by name first.
if p[i].Name != p[j].Name {
return p[i].Name < p[j].Name
}
// Sort by tag set hash. Tags don't have a meaningful sort order so we
// just compute a hash and sort by that instead. This allows the tests
// to receive rows in a predictable order every time.
return p[i].tagsHash() < p[j].tagsHash()
}
// Swap implements sort.Interface.
func (p Rows) Swap(i, j int) { p[i], p[j] = p[j], p[i] }

42
vendor/github.com/influxdata/influxdb/models/statistic.go generated vendored Normal file
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package models
// Statistic is the representation of a statistic used by the monitoring service.
type Statistic struct {
Name string `json:"name"`
Tags map[string]string `json:"tags"`
Values map[string]interface{} `json:"values"`
}
// NewStatistic returns an initialized Statistic.
func NewStatistic(name string) Statistic {
return Statistic{
Name: name,
Tags: make(map[string]string),
Values: make(map[string]interface{}),
}
}
// StatisticTags is a map that can be merged with others without causing
// mutations to either map.
type StatisticTags map[string]string
// Merge creates a new map containing the merged contents of tags and t.
// If both tags and the receiver map contain the same key, the value in tags
// is used in the resulting map.
//
// Merge always returns a usable map.
func (t StatisticTags) Merge(tags map[string]string) map[string]string {
// Add everything in tags to the result.
out := make(map[string]string, len(tags))
for k, v := range tags {
out[k] = v
}
// Only add values from t that don't appear in tags.
for k, v := range t {
if _, ok := tags[k]; !ok {
out[k] = v
}
}
return out
}

74
vendor/github.com/influxdata/influxdb/models/time.go generated vendored Normal file
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@ -0,0 +1,74 @@
package models
// Helper time methods since parsing time can easily overflow and we only support a
// specific time range.
import (
"fmt"
"math"
"time"
)
const (
// MinNanoTime is the minumum time that can be represented.
//
// 1677-09-21 00:12:43.145224194 +0000 UTC
//
// The two lowest minimum integers are used as sentinel values. The
// minimum value needs to be used as a value lower than any other value for
// comparisons and another separate value is needed to act as a sentinel
// default value that is unusable by the user, but usable internally.
// Because these two values need to be used for a special purpose, we do
// not allow users to write points at these two times.
MinNanoTime = int64(math.MinInt64) + 2
// MaxNanoTime is the maximum time that can be represented.
//
// 2262-04-11 23:47:16.854775806 +0000 UTC
//
// The highest time represented by a nanosecond needs to be used for an
// exclusive range in the shard group, so the maximum time needs to be one
// less than the possible maximum number of nanoseconds representable by an
// int64 so that we don't lose a point at that one time.
MaxNanoTime = int64(math.MaxInt64) - 1
)
var (
minNanoTime = time.Unix(0, MinNanoTime).UTC()
maxNanoTime = time.Unix(0, MaxNanoTime).UTC()
// ErrTimeOutOfRange gets returned when time is out of the representable range using int64 nanoseconds since the epoch.
ErrTimeOutOfRange = fmt.Errorf("time outside range %d - %d", MinNanoTime, MaxNanoTime)
)
// SafeCalcTime safely calculates the time given. Will return error if the time is outside the
// supported range.
func SafeCalcTime(timestamp int64, precision string) (time.Time, error) {
mult := GetPrecisionMultiplier(precision)
if t, ok := safeSignedMult(timestamp, mult); ok {
tme := time.Unix(0, t).UTC()
return tme, CheckTime(tme)
}
return time.Time{}, ErrTimeOutOfRange
}
// CheckTime checks that a time is within the safe range.
func CheckTime(t time.Time) error {
if t.Before(minNanoTime) || t.After(maxNanoTime) {
return ErrTimeOutOfRange
}
return nil
}
// Perform the multiplication and check to make sure it didn't overflow.
func safeSignedMult(a, b int64) (int64, bool) {
if a == 0 || b == 0 || a == 1 || b == 1 {
return a * b, true
}
if a == MinNanoTime || b == MaxNanoTime {
return 0, false
}
c := a * b
return c, c/b == a
}

7
vendor/github.com/influxdata/influxdb/models/uint_support.go generated vendored Normal file
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@ -0,0 +1,7 @@
// +build uint uint64
package models
func init() {
EnableUintSupport()
}

115
vendor/github.com/influxdata/influxdb/pkg/escape/bytes.go generated vendored Normal file
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@ -0,0 +1,115 @@
// Package escape contains utilities for escaping parts of InfluxQL
// and InfluxDB line protocol.
package escape // import "github.com/influxdata/influxdb/pkg/escape"
import (
"bytes"
"strings"
)
// Codes is a map of bytes to be escaped.
var Codes = map[byte][]byte{
',': []byte(`\,`),
'"': []byte(`\"`),
' ': []byte(`\ `),
'=': []byte(`\=`),
}
// Bytes escapes characters on the input slice, as defined by Codes.
func Bytes(in []byte) []byte {
for b, esc := range Codes {
in = bytes.Replace(in, []byte{b}, esc, -1)
}
return in
}
const escapeChars = `," =`
// IsEscaped returns whether b has any escaped characters,
// i.e. whether b seems to have been processed by Bytes.
func IsEscaped(b []byte) bool {
for len(b) > 0 {
i := bytes.IndexByte(b, '\\')
if i < 0 {
return false
}
if i+1 < len(b) && strings.IndexByte(escapeChars, b[i+1]) >= 0 {
return true
}
b = b[i+1:]
}
return false
}
// AppendUnescaped appends the unescaped version of src to dst
// and returns the resulting slice.
func AppendUnescaped(dst, src []byte) []byte {
var pos int
for len(src) > 0 {
next := bytes.IndexByte(src[pos:], '\\')
if next < 0 || pos+next+1 >= len(src) {
return append(dst, src...)
}
if pos+next+1 < len(src) && strings.IndexByte(escapeChars, src[pos+next+1]) >= 0 {
if pos+next > 0 {
dst = append(dst, src[:pos+next]...)
}
src = src[pos+next+1:]
pos = 0
} else {
pos += next + 1
}
}
return dst
}
// Unescape returns a new slice containing the unescaped version of in.
func Unescape(in []byte) []byte {
if len(in) == 0 {
return nil
}
if bytes.IndexByte(in, '\\') == -1 {
return in
}
i := 0
inLen := len(in)
// The output size will be no more than inLen. Preallocating the
// capacity of the output is faster and uses less memory than
// letting append() do its own (over)allocation.
out := make([]byte, 0, inLen)
for {
if i >= inLen {
break
}
if in[i] == '\\' && i+1 < inLen {
switch in[i+1] {
case ',':
out = append(out, ',')
i += 2
continue
case '"':
out = append(out, '"')
i += 2
continue
case ' ':
out = append(out, ' ')
i += 2
continue
case '=':
out = append(out, '=')
i += 2
continue
}
}
out = append(out, in[i])
i += 1
}
return out
}

21
vendor/github.com/influxdata/influxdb/pkg/escape/strings.go generated vendored Normal file
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@ -0,0 +1,21 @@
package escape
import "strings"
var (
escaper = strings.NewReplacer(`,`, `\,`, `"`, `\"`, ` `, `\ `, `=`, `\=`)
unescaper = strings.NewReplacer(`\,`, `,`, `\"`, `"`, `\ `, ` `, `\=`, `=`)
)
// UnescapeString returns unescaped version of in.
func UnescapeString(in string) string {
if strings.IndexByte(in, '\\') == -1 {
return in
}
return unescaper.Replace(in)
}
// String returns the escaped version of in.
func String(in string) string {
return escaper.Replace(in)
}

29
vendor/github.com/rcrowley/go-metrics/LICENSE generated vendored
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@ -1,29 +0,0 @@
Copyright 2012 Richard Crowley. All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following
disclaimer in the documentation and/or other materials provided
with the distribution.
THIS SOFTWARE IS PROVIDED BY RICHARD CROWLEY ``AS IS'' AND ANY EXPRESS
OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL RICHARD CROWLEY OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
The views and conclusions contained in the software and documentation
are those of the authors and should not be interpreted as representing
official policies, either expressed or implied, of Richard Crowley.

153
vendor/github.com/rcrowley/go-metrics/README.md generated vendored
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@ -1,153 +0,0 @@
go-metrics
==========
![travis build status](https://travis-ci.org/rcrowley/go-metrics.svg?branch=master)
Go port of Coda Hale's Metrics library: <https://github.com/dropwizard/metrics>.
Documentation: <http://godoc.org/github.com/rcrowley/go-metrics>.
Usage
-----
Create and update metrics:
```go
c := metrics.NewCounter()
metrics.Register("foo", c)
c.Inc(47)
g := metrics.NewGauge()
metrics.Register("bar", g)
g.Update(47)
r := NewRegistry()
g := metrics.NewRegisteredFunctionalGauge("cache-evictions", r, func() int64 { return cache.getEvictionsCount() })
s := metrics.NewExpDecaySample(1028, 0.015) // or metrics.NewUniformSample(1028)
h := metrics.NewHistogram(s)
metrics.Register("baz", h)
h.Update(47)
m := metrics.NewMeter()
metrics.Register("quux", m)
m.Mark(47)
t := metrics.NewTimer()
metrics.Register("bang", t)
t.Time(func() {})
t.Update(47)
```
Register() is not threadsafe. For threadsafe metric registration use
GetOrRegister:
```
t := metrics.GetOrRegisterTimer("account.create.latency", nil)
t.Time(func() {})
t.Update(47)
```
Periodically log every metric in human-readable form to standard error:
```go
go metrics.Log(metrics.DefaultRegistry, 5 * time.Second, log.New(os.Stderr, "metrics: ", log.Lmicroseconds))
```
Periodically log every metric in slightly-more-parseable form to syslog:
```go
w, _ := syslog.Dial("unixgram", "/dev/log", syslog.LOG_INFO, "metrics")
go metrics.Syslog(metrics.DefaultRegistry, 60e9, w)
```
Periodically emit every metric to Graphite using the [Graphite client](https://github.com/cyberdelia/go-metrics-graphite):
```go
import "github.com/cyberdelia/go-metrics-graphite"
addr, _ := net.ResolveTCPAddr("tcp", "127.0.0.1:2003")
go graphite.Graphite(metrics.DefaultRegistry, 10e9, "metrics", addr)
```
Periodically emit every metric into InfluxDB:
**NOTE:** this has been pulled out of the library due to constant fluctuations
in the InfluxDB API. In fact, all client libraries are on their way out. see
issues [#121](https://github.com/rcrowley/go-metrics/issues/121) and
[#124](https://github.com/rcrowley/go-metrics/issues/124) for progress and details.
```go
import "github.com/vrischmann/go-metrics-influxdb"
go influxdb.Influxdb(metrics.DefaultRegistry, 10e9, &influxdb.Config{
Host: "127.0.0.1:8086",
Database: "metrics",
Username: "test",
Password: "test",
})
```
Periodically upload every metric to Librato using the [Librato client](https://github.com/mihasya/go-metrics-librato):
**Note**: the client included with this repository under the `librato` package
has been deprecated and moved to the repository linked above.
```go
import "github.com/mihasya/go-metrics-librato"
go librato.Librato(metrics.DefaultRegistry,
10e9, // interval
"example@example.com", // account owner email address
"token", // Librato API token
"hostname", // source
[]float64{0.95}, // percentiles to send
time.Millisecond, // time unit
)
```
Periodically emit every metric to StatHat:
```go
import "github.com/rcrowley/go-metrics/stathat"
go stathat.Stathat(metrics.DefaultRegistry, 10e9, "example@example.com")
```
Maintain all metrics along with expvars at `/debug/metrics`:
This uses the same mechanism as [the official expvar](http://golang.org/pkg/expvar/)
but exposed under `/debug/metrics`, which shows a json representation of all your usual expvars
as well as all your go-metrics.
```go
import "github.com/rcrowley/go-metrics/exp"
exp.Exp(metrics.DefaultRegistry)
```
Installation
------------
```sh
go get github.com/rcrowley/go-metrics
```
StatHat support additionally requires their Go client:
```sh
go get github.com/stathat/go
```
Publishing Metrics
------------------
Clients are available for the following destinations:
* Librato - [https://github.com/mihasya/go-metrics-librato](https://github.com/mihasya/go-metrics-librato)
* Graphite - [https://github.com/cyberdelia/go-metrics-graphite](https://github.com/cyberdelia/go-metrics-graphite)
* InfluxDB - [https://github.com/vrischmann/go-metrics-influxdb](https://github.com/vrischmann/go-metrics-influxdb)
* Ganglia - [https://github.com/appscode/metlia](https://github.com/appscode/metlia)
* Prometheus - [https://github.com/deathowl/go-metrics-prometheus](https://github.com/deathowl/go-metrics-prometheus)

112
vendor/github.com/rcrowley/go-metrics/counter.go generated vendored
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@ -1,112 +0,0 @@
package metrics
import "sync/atomic"
// Counters hold an int64 value that can be incremented and decremented.
type Counter interface {
Clear()
Count() int64
Dec(int64)
Inc(int64)
Snapshot() Counter
}
// GetOrRegisterCounter returns an existing Counter or constructs and registers
// a new StandardCounter.
func GetOrRegisterCounter(name string, r Registry) Counter {
if nil == r {
r = DefaultRegistry
}
return r.GetOrRegister(name, NewCounter).(Counter)
}
// NewCounter constructs a new StandardCounter.
func NewCounter() Counter {
if UseNilMetrics {
return NilCounter{}
}
return &StandardCounter{0}
}
// NewRegisteredCounter constructs and registers a new StandardCounter.
func NewRegisteredCounter(name string, r Registry) Counter {
c := NewCounter()
if nil == r {
r = DefaultRegistry
}
r.Register(name, c)
return c
}
// CounterSnapshot is a read-only copy of another Counter.
type CounterSnapshot int64
// Clear panics.
func (CounterSnapshot) Clear() {
panic("Clear called on a CounterSnapshot")
}
// Count returns the count at the time the snapshot was taken.
func (c CounterSnapshot) Count() int64 { return int64(c) }
// Dec panics.
func (CounterSnapshot) Dec(int64) {
panic("Dec called on a CounterSnapshot")
}
// Inc panics.
func (CounterSnapshot) Inc(int64) {
panic("Inc called on a CounterSnapshot")
}
// Snapshot returns the snapshot.
func (c CounterSnapshot) Snapshot() Counter { return c }
// NilCounter is a no-op Counter.
type NilCounter struct{}
// Clear is a no-op.
func (NilCounter) Clear() {}
// Count is a no-op.
func (NilCounter) Count() int64 { return 0 }
// Dec is a no-op.
func (NilCounter) Dec(i int64) {}
// Inc is a no-op.
func (NilCounter) Inc(i int64) {}
// Snapshot is a no-op.
func (NilCounter) Snapshot() Counter { return NilCounter{} }
// StandardCounter is the standard implementation of a Counter and uses the
// sync/atomic package to manage a single int64 value.
type StandardCounter struct {
count int64
}
// Clear sets the counter to zero.
func (c *StandardCounter) Clear() {
atomic.StoreInt64(&c.count, 0)
}
// Count returns the current count.
func (c *StandardCounter) Count() int64 {
return atomic.LoadInt64(&c.count)
}
// Dec decrements the counter by the given amount.
func (c *StandardCounter) Dec(i int64) {
atomic.AddInt64(&c.count, -i)
}
// Inc increments the counter by the given amount.
func (c *StandardCounter) Inc(i int64) {
atomic.AddInt64(&c.count, i)
}
// Snapshot returns a read-only copy of the counter.
func (c *StandardCounter) Snapshot() Counter {
return CounterSnapshot(c.Count())
}

76
vendor/github.com/rcrowley/go-metrics/debug.go generated vendored
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@ -1,76 +0,0 @@
package metrics
import (
"runtime/debug"
"time"
)
var (
debugMetrics struct {
GCStats struct {
LastGC Gauge
NumGC Gauge
Pause Histogram
//PauseQuantiles Histogram
PauseTotal Gauge
}
ReadGCStats Timer
}
gcStats debug.GCStats
)
// Capture new values for the Go garbage collector statistics exported in
// debug.GCStats. This is designed to be called as a goroutine.
func CaptureDebugGCStats(r Registry, d time.Duration) {
for _ = range time.Tick(d) {
CaptureDebugGCStatsOnce(r)
}
}
// Capture new values for the Go garbage collector statistics exported in
// debug.GCStats. This is designed to be called in a background goroutine.
// Giving a registry which has not been given to RegisterDebugGCStats will
// panic.
//
// Be careful (but much less so) with this because debug.ReadGCStats calls
// the C function runtime·lock(runtime·mheap) which, while not a stop-the-world
// operation, isn't something you want to be doing all the time.
func CaptureDebugGCStatsOnce(r Registry) {
lastGC := gcStats.LastGC
t := time.Now()
debug.ReadGCStats(&gcStats)
debugMetrics.ReadGCStats.UpdateSince(t)
debugMetrics.GCStats.LastGC.Update(int64(gcStats.LastGC.UnixNano()))
debugMetrics.GCStats.NumGC.Update(int64(gcStats.NumGC))
if lastGC != gcStats.LastGC && 0 < len(gcStats.Pause) {
debugMetrics.GCStats.Pause.Update(int64(gcStats.Pause[0]))
}
//debugMetrics.GCStats.PauseQuantiles.Update(gcStats.PauseQuantiles)
debugMetrics.GCStats.PauseTotal.Update(int64(gcStats.PauseTotal))
}
// Register metrics for the Go garbage collector statistics exported in
// debug.GCStats. The metrics are named by their fully-qualified Go symbols,
// i.e. debug.GCStats.PauseTotal.
func RegisterDebugGCStats(r Registry) {
debugMetrics.GCStats.LastGC = NewGauge()
debugMetrics.GCStats.NumGC = NewGauge()
debugMetrics.GCStats.Pause = NewHistogram(NewExpDecaySample(1028, 0.015))
//debugMetrics.GCStats.PauseQuantiles = NewHistogram(NewExpDecaySample(1028, 0.015))
debugMetrics.GCStats.PauseTotal = NewGauge()
debugMetrics.ReadGCStats = NewTimer()
r.Register("debug.GCStats.LastGC", debugMetrics.GCStats.LastGC)
r.Register("debug.GCStats.NumGC", debugMetrics.GCStats.NumGC)
r.Register("debug.GCStats.Pause", debugMetrics.GCStats.Pause)
//r.Register("debug.GCStats.PauseQuantiles", debugMetrics.GCStats.PauseQuantiles)
r.Register("debug.GCStats.PauseTotal", debugMetrics.GCStats.PauseTotal)
r.Register("debug.ReadGCStats", debugMetrics.ReadGCStats)
}
// Allocate an initial slice for gcStats.Pause to avoid allocations during
// normal operation.
func init() {
gcStats.Pause = make([]time.Duration, 11)
}

118
vendor/github.com/rcrowley/go-metrics/ewma.go generated vendored
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@ -1,118 +0,0 @@
package metrics
import (
"math"
"sync"
"sync/atomic"
)
// EWMAs continuously calculate an exponentially-weighted moving average
// based on an outside source of clock ticks.
type EWMA interface {
Rate() float64
Snapshot() EWMA
Tick()
Update(int64)
}
// NewEWMA constructs a new EWMA with the given alpha.
func NewEWMA(alpha float64) EWMA {
if UseNilMetrics {
return NilEWMA{}
}
return &StandardEWMA{alpha: alpha}
}
// NewEWMA1 constructs a new EWMA for a one-minute moving average.
func NewEWMA1() EWMA {
return NewEWMA(1 - math.Exp(-5.0/60.0/1))
}
// NewEWMA5 constructs a new EWMA for a five-minute moving average.
func NewEWMA5() EWMA {
return NewEWMA(1 - math.Exp(-5.0/60.0/5))
}
// NewEWMA15 constructs a new EWMA for a fifteen-minute moving average.
func NewEWMA15() EWMA {
return NewEWMA(1 - math.Exp(-5.0/60.0/15))
}
// EWMASnapshot is a read-only copy of another EWMA.
type EWMASnapshot float64
// Rate returns the rate of events per second at the time the snapshot was
// taken.
func (a EWMASnapshot) Rate() float64 { return float64(a) }
// Snapshot returns the snapshot.
func (a EWMASnapshot) Snapshot() EWMA { return a }
// Tick panics.
func (EWMASnapshot) Tick() {
panic("Tick called on an EWMASnapshot")
}
// Update panics.
func (EWMASnapshot) Update(int64) {
panic("Update called on an EWMASnapshot")
}
// NilEWMA is a no-op EWMA.
type NilEWMA struct{}
// Rate is a no-op.
func (NilEWMA) Rate() float64 { return 0.0 }
// Snapshot is a no-op.
func (NilEWMA) Snapshot() EWMA { return NilEWMA{} }
// Tick is a no-op.
func (NilEWMA) Tick() {}
// Update is a no-op.
func (NilEWMA) Update(n int64) {}
// StandardEWMA is the standard implementation of an EWMA and tracks the number
// of uncounted events and processes them on each tick. It uses the
// sync/atomic package to manage uncounted events.
type StandardEWMA struct {
uncounted int64 // /!\ this should be the first member to ensure 64-bit alignment
alpha float64
rate float64
init bool
mutex sync.Mutex
}
// Rate returns the moving average rate of events per second.
func (a *StandardEWMA) Rate() float64 {
a.mutex.Lock()
defer a.mutex.Unlock()
return a.rate * float64(1e9)
}
// Snapshot returns a read-only copy of the EWMA.
func (a *StandardEWMA) Snapshot() EWMA {
return EWMASnapshot(a.Rate())
}
// Tick ticks the clock to update the moving average. It assumes it is called
// every five seconds.
func (a *StandardEWMA) Tick() {
count := atomic.LoadInt64(&a.uncounted)
atomic.AddInt64(&a.uncounted, -count)
instantRate := float64(count) / float64(5e9)
a.mutex.Lock()
defer a.mutex.Unlock()
if a.init {
a.rate += a.alpha * (instantRate - a.rate)
} else {
a.init = true
a.rate = instantRate
}
}
// Update adds n uncounted events.
func (a *StandardEWMA) Update(n int64) {
atomic.AddInt64(&a.uncounted, n)
}

156
vendor/github.com/rcrowley/go-metrics/exp/exp.go generated vendored
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@ -1,156 +0,0 @@
// Hook go-metrics into expvar
// on any /debug/metrics request, load all vars from the registry into expvar, and execute regular expvar handler
package exp
import (
"expvar"
"fmt"
"net/http"
"sync"
"github.com/rcrowley/go-metrics"
)
type exp struct {
expvarLock sync.Mutex // expvar panics if you try to register the same var twice, so we must probe it safely
registry metrics.Registry
}
func (exp *exp) expHandler(w http.ResponseWriter, r *http.Request) {
// load our variables into expvar
exp.syncToExpvar()
// now just run the official expvar handler code (which is not publicly callable, so pasted inline)
w.Header().Set("Content-Type", "application/json; charset=utf-8")
fmt.Fprintf(w, "{\n")
first := true
expvar.Do(func(kv expvar.KeyValue) {
if !first {
fmt.Fprintf(w, ",\n")
}
first = false
fmt.Fprintf(w, "%q: %s", kv.Key, kv.Value)
})
fmt.Fprintf(w, "\n}\n")
}
// Exp will register an expvar powered metrics handler with http.DefaultServeMux on "/debug/vars"
func Exp(r metrics.Registry) {
h := ExpHandler(r)
// this would cause a panic:
// panic: http: multiple registrations for /debug/vars
// http.HandleFunc("/debug/vars", e.expHandler)
// haven't found an elegant way, so just use a different endpoint
http.Handle("/debug/metrics", h)
}
// ExpHandler will return an expvar powered metrics handler.
func ExpHandler(r metrics.Registry) http.Handler {
e := exp{sync.Mutex{}, r}
return http.HandlerFunc(e.expHandler)
}
func (exp *exp) getInt(name string) *expvar.Int {
var v *expvar.Int
exp.expvarLock.Lock()
p := expvar.Get(name)
if p != nil {
v = p.(*expvar.Int)
} else {
v = new(expvar.Int)
expvar.Publish(name, v)
}
exp.expvarLock.Unlock()
return v
}
func (exp *exp) getFloat(name string) *expvar.Float {
var v *expvar.Float
exp.expvarLock.Lock()
p := expvar.Get(name)
if p != nil {
v = p.(*expvar.Float)
} else {
v = new(expvar.Float)
expvar.Publish(name, v)
}
exp.expvarLock.Unlock()
return v
}
func (exp *exp) publishCounter(name string, metric metrics.Counter) {
v := exp.getInt(name)
v.Set(metric.Count())
}
func (exp *exp) publishGauge(name string, metric metrics.Gauge) {
v := exp.getInt(name)
v.Set(metric.Value())
}
func (exp *exp) publishGaugeFloat64(name string, metric metrics.GaugeFloat64) {
exp.getFloat(name).Set(metric.Value())
}
func (exp *exp) publishHistogram(name string, metric metrics.Histogram) {
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
exp.getInt(name + ".count").Set(h.Count())
exp.getFloat(name + ".min").Set(float64(h.Min()))
exp.getFloat(name + ".max").Set(float64(h.Max()))
exp.getFloat(name + ".mean").Set(float64(h.Mean()))
exp.getFloat(name + ".std-dev").Set(float64(h.StdDev()))
exp.getFloat(name + ".50-percentile").Set(float64(ps[0]))
exp.getFloat(name + ".75-percentile").Set(float64(ps[1]))
exp.getFloat(name + ".95-percentile").Set(float64(ps[2]))
exp.getFloat(name + ".99-percentile").Set(float64(ps[3]))
exp.getFloat(name + ".999-percentile").Set(float64(ps[4]))
}
func (exp *exp) publishMeter(name string, metric metrics.Meter) {
m := metric.Snapshot()
exp.getInt(name + ".count").Set(m.Count())
exp.getFloat(name + ".one-minute").Set(float64(m.Rate1()))
exp.getFloat(name + ".five-minute").Set(float64(m.Rate5()))
exp.getFloat(name + ".fifteen-minute").Set(float64((m.Rate15())))
exp.getFloat(name + ".mean").Set(float64(m.RateMean()))
}
func (exp *exp) publishTimer(name string, metric metrics.Timer) {
t := metric.Snapshot()
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
exp.getInt(name + ".count").Set(t.Count())
exp.getFloat(name + ".min").Set(float64(t.Min()))
exp.getFloat(name + ".max").Set(float64(t.Max()))
exp.getFloat(name + ".mean").Set(float64(t.Mean()))
exp.getFloat(name + ".std-dev").Set(float64(t.StdDev()))
exp.getFloat(name + ".50-percentile").Set(float64(ps[0]))
exp.getFloat(name + ".75-percentile").Set(float64(ps[1]))
exp.getFloat(name + ".95-percentile").Set(float64(ps[2]))
exp.getFloat(name + ".99-percentile").Set(float64(ps[3]))
exp.getFloat(name + ".999-percentile").Set(float64(ps[4]))
exp.getFloat(name + ".one-minute").Set(float64(t.Rate1()))
exp.getFloat(name + ".five-minute").Set(float64(t.Rate5()))
exp.getFloat(name + ".fifteen-minute").Set(float64((t.Rate15())))
exp.getFloat(name + ".mean-rate").Set(float64(t.RateMean()))
}
func (exp *exp) syncToExpvar() {
exp.registry.Each(func(name string, i interface{}) {
switch i.(type) {
case metrics.Counter:
exp.publishCounter(name, i.(metrics.Counter))
case metrics.Gauge:
exp.publishGauge(name, i.(metrics.Gauge))
case metrics.GaugeFloat64:
exp.publishGaugeFloat64(name, i.(metrics.GaugeFloat64))
case metrics.Histogram:
exp.publishHistogram(name, i.(metrics.Histogram))
case metrics.Meter:
exp.publishMeter(name, i.(metrics.Meter))
case metrics.Timer:
exp.publishTimer(name, i.(metrics.Timer))
default:
panic(fmt.Sprintf("unsupported type for '%s': %T", name, i))
}
})
}

120
vendor/github.com/rcrowley/go-metrics/gauge.go generated vendored
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@ -1,120 +0,0 @@
package metrics
import "sync/atomic"
// Gauges hold an int64 value that can be set arbitrarily.
type Gauge interface {
Snapshot() Gauge
Update(int64)
Value() int64
}
// GetOrRegisterGauge returns an existing Gauge or constructs and registers a
// new StandardGauge.
func GetOrRegisterGauge(name string, r Registry) Gauge {
if nil == r {
r = DefaultRegistry
}
return r.GetOrRegister(name, NewGauge).(Gauge)
}
// NewGauge constructs a new StandardGauge.
func NewGauge() Gauge {
if UseNilMetrics {
return NilGauge{}
}
return &StandardGauge{0}
}
// NewRegisteredGauge constructs and registers a new StandardGauge.
func NewRegisteredGauge(name string, r Registry) Gauge {
c := NewGauge()
if nil == r {
r = DefaultRegistry
}
r.Register(name, c)
return c
}
// NewFunctionalGauge constructs a new FunctionalGauge.
func NewFunctionalGauge(f func() int64) Gauge {
if UseNilMetrics {
return NilGauge{}
}
return &FunctionalGauge{value: f}
}
// NewRegisteredFunctionalGauge constructs and registers a new StandardGauge.
func NewRegisteredFunctionalGauge(name string, r Registry, f func() int64) Gauge {
c := NewFunctionalGauge(f)
if nil == r {
r = DefaultRegistry
}
r.Register(name, c)
return c
}
// GaugeSnapshot is a read-only copy of another Gauge.
type GaugeSnapshot int64
// Snapshot returns the snapshot.
func (g GaugeSnapshot) Snapshot() Gauge { return g }
// Update panics.
func (GaugeSnapshot) Update(int64) {
panic("Update called on a GaugeSnapshot")
}
// Value returns the value at the time the snapshot was taken.
func (g GaugeSnapshot) Value() int64 { return int64(g) }
// NilGauge is a no-op Gauge.
type NilGauge struct{}
// Snapshot is a no-op.
func (NilGauge) Snapshot() Gauge { return NilGauge{} }
// Update is a no-op.
func (NilGauge) Update(v int64) {}
// Value is a no-op.
func (NilGauge) Value() int64 { return 0 }
// StandardGauge is the standard implementation of a Gauge and uses the
// sync/atomic package to manage a single int64 value.
type StandardGauge struct {
value int64
}
// Snapshot returns a read-only copy of the gauge.
func (g *StandardGauge) Snapshot() Gauge {
return GaugeSnapshot(g.Value())
}
// Update updates the gauge's value.
func (g *StandardGauge) Update(v int64) {
atomic.StoreInt64(&g.value, v)
}
// Value returns the gauge's current value.
func (g *StandardGauge) Value() int64 {
return atomic.LoadInt64(&g.value)
}
// FunctionalGauge returns value from given function
type FunctionalGauge struct {
value func() int64
}
// Value returns the gauge's current value.
func (g FunctionalGauge) Value() int64 {
return g.value()
}
// Snapshot returns the snapshot.
func (g FunctionalGauge) Snapshot() Gauge { return GaugeSnapshot(g.Value()) }
// Update panics.
func (FunctionalGauge) Update(int64) {
panic("Update called on a FunctionalGauge")
}

127
vendor/github.com/rcrowley/go-metrics/gauge_float64.go generated vendored
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@ -1,127 +0,0 @@
package metrics
import "sync"
// GaugeFloat64s hold a float64 value that can be set arbitrarily.
type GaugeFloat64 interface {
Snapshot() GaugeFloat64
Update(float64)
Value() float64
}
// GetOrRegisterGaugeFloat64 returns an existing GaugeFloat64 or constructs and registers a
// new StandardGaugeFloat64.
func GetOrRegisterGaugeFloat64(name string, r Registry) GaugeFloat64 {
if nil == r {
r = DefaultRegistry
}
return r.GetOrRegister(name, NewGaugeFloat64()).(GaugeFloat64)
}
// NewGaugeFloat64 constructs a new StandardGaugeFloat64.
func NewGaugeFloat64() GaugeFloat64 {
if UseNilMetrics {
return NilGaugeFloat64{}
}
return &StandardGaugeFloat64{
value: 0.0,
}
}
// NewRegisteredGaugeFloat64 constructs and registers a new StandardGaugeFloat64.
func NewRegisteredGaugeFloat64(name string, r Registry) GaugeFloat64 {
c := NewGaugeFloat64()
if nil == r {
r = DefaultRegistry
}
r.Register(name, c)
return c
}
// NewFunctionalGauge constructs a new FunctionalGauge.
func NewFunctionalGaugeFloat64(f func() float64) GaugeFloat64 {
if UseNilMetrics {
return NilGaugeFloat64{}
}
return &FunctionalGaugeFloat64{value: f}
}
// NewRegisteredFunctionalGauge constructs and registers a new StandardGauge.
func NewRegisteredFunctionalGaugeFloat64(name string, r Registry, f func() float64) GaugeFloat64 {
c := NewFunctionalGaugeFloat64(f)
if nil == r {
r = DefaultRegistry
}
r.Register(name, c)
return c
}
// GaugeFloat64Snapshot is a read-only copy of another GaugeFloat64.
type GaugeFloat64Snapshot float64
// Snapshot returns the snapshot.
func (g GaugeFloat64Snapshot) Snapshot() GaugeFloat64 { return g }
// Update panics.
func (GaugeFloat64Snapshot) Update(float64) {
panic("Update called on a GaugeFloat64Snapshot")
}
// Value returns the value at the time the snapshot was taken.
func (g GaugeFloat64Snapshot) Value() float64 { return float64(g) }
// NilGauge is a no-op Gauge.
type NilGaugeFloat64 struct{}
// Snapshot is a no-op.
func (NilGaugeFloat64) Snapshot() GaugeFloat64 { return NilGaugeFloat64{} }
// Update is a no-op.
func (NilGaugeFloat64) Update(v float64) {}
// Value is a no-op.
func (NilGaugeFloat64) Value() float64 { return 0.0 }
// StandardGaugeFloat64 is the standard implementation of a GaugeFloat64 and uses
// sync.Mutex to manage a single float64 value.
type StandardGaugeFloat64 struct {
mutex sync.Mutex
value float64
}
// Snapshot returns a read-only copy of the gauge.
func (g *StandardGaugeFloat64) Snapshot() GaugeFloat64 {
return GaugeFloat64Snapshot(g.Value())
}
// Update updates the gauge's value.
func (g *StandardGaugeFloat64) Update(v float64) {
g.mutex.Lock()
defer g.mutex.Unlock()
g.value = v
}
// Value returns the gauge's current value.
func (g *StandardGaugeFloat64) Value() float64 {
g.mutex.Lock()
defer g.mutex.Unlock()
return g.value
}
// FunctionalGaugeFloat64 returns value from given function
type FunctionalGaugeFloat64 struct {
value func() float64
}
// Value returns the gauge's current value.
func (g FunctionalGaugeFloat64) Value() float64 {
return g.value()
}
// Snapshot returns the snapshot.
func (g FunctionalGaugeFloat64) Snapshot() GaugeFloat64 { return GaugeFloat64Snapshot(g.Value()) }
// Update panics.
func (FunctionalGaugeFloat64) Update(float64) {
panic("Update called on a FunctionalGaugeFloat64")
}

113
vendor/github.com/rcrowley/go-metrics/graphite.go generated vendored
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@ -1,113 +0,0 @@
package metrics
import (
"bufio"
"fmt"
"log"
"net"
"strconv"
"strings"
"time"
)
// GraphiteConfig provides a container with configuration parameters for
// the Graphite exporter
type GraphiteConfig struct {
Addr *net.TCPAddr // Network address to connect to
Registry Registry // Registry to be exported
FlushInterval time.Duration // Flush interval
DurationUnit time.Duration // Time conversion unit for durations
Prefix string // Prefix to be prepended to metric names
Percentiles []float64 // Percentiles to export from timers and histograms
}
// Graphite is a blocking exporter function which reports metrics in r
// to a graphite server located at addr, flushing them every d duration
// and prepending metric names with prefix.
func Graphite(r Registry, d time.Duration, prefix string, addr *net.TCPAddr) {
GraphiteWithConfig(GraphiteConfig{
Addr: addr,
Registry: r,
FlushInterval: d,
DurationUnit: time.Nanosecond,
Prefix: prefix,
Percentiles: []float64{0.5, 0.75, 0.95, 0.99, 0.999},
})
}
// GraphiteWithConfig is a blocking exporter function just like Graphite,
// but it takes a GraphiteConfig instead.
func GraphiteWithConfig(c GraphiteConfig) {
log.Printf("WARNING: This go-metrics client has been DEPRECATED! It has been moved to https://github.com/cyberdelia/go-metrics-graphite and will be removed from rcrowley/go-metrics on August 12th 2015")
for _ = range time.Tick(c.FlushInterval) {
if err := graphite(&c); nil != err {
log.Println(err)
}
}
}
// GraphiteOnce performs a single submission to Graphite, returning a
// non-nil error on failed connections. This can be used in a loop
// similar to GraphiteWithConfig for custom error handling.
func GraphiteOnce(c GraphiteConfig) error {
log.Printf("WARNING: This go-metrics client has been DEPRECATED! It has been moved to https://github.com/cyberdelia/go-metrics-graphite and will be removed from rcrowley/go-metrics on August 12th 2015")
return graphite(&c)
}
func graphite(c *GraphiteConfig) error {
now := time.Now().Unix()
du := float64(c.DurationUnit)
conn, err := net.DialTCP("tcp", nil, c.Addr)
if nil != err {
return err
}
defer conn.Close()
w := bufio.NewWriter(conn)
c.Registry.Each(func(name string, i interface{}) {
switch metric := i.(type) {
case Counter:
fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, metric.Count(), now)
case Gauge:
fmt.Fprintf(w, "%s.%s.value %d %d\n", c.Prefix, name, metric.Value(), now)
case GaugeFloat64:
fmt.Fprintf(w, "%s.%s.value %f %d\n", c.Prefix, name, metric.Value(), now)
case Histogram:
h := metric.Snapshot()
ps := h.Percentiles(c.Percentiles)
fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, h.Count(), now)
fmt.Fprintf(w, "%s.%s.min %d %d\n", c.Prefix, name, h.Min(), now)
fmt.Fprintf(w, "%s.%s.max %d %d\n", c.Prefix, name, h.Max(), now)
fmt.Fprintf(w, "%s.%s.mean %.2f %d\n", c.Prefix, name, h.Mean(), now)
fmt.Fprintf(w, "%s.%s.std-dev %.2f %d\n", c.Prefix, name, h.StdDev(), now)
for psIdx, psKey := range c.Percentiles {
key := strings.Replace(strconv.FormatFloat(psKey*100.0, 'f', -1, 64), ".", "", 1)
fmt.Fprintf(w, "%s.%s.%s-percentile %.2f %d\n", c.Prefix, name, key, ps[psIdx], now)
}
case Meter:
m := metric.Snapshot()
fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, m.Count(), now)
fmt.Fprintf(w, "%s.%s.one-minute %.2f %d\n", c.Prefix, name, m.Rate1(), now)
fmt.Fprintf(w, "%s.%s.five-minute %.2f %d\n", c.Prefix, name, m.Rate5(), now)
fmt.Fprintf(w, "%s.%s.fifteen-minute %.2f %d\n", c.Prefix, name, m.Rate15(), now)
fmt.Fprintf(w, "%s.%s.mean %.2f %d\n", c.Prefix, name, m.RateMean(), now)
case Timer:
t := metric.Snapshot()
ps := t.Percentiles(c.Percentiles)
fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, t.Count(), now)
fmt.Fprintf(w, "%s.%s.min %d %d\n", c.Prefix, name, t.Min()/int64(du), now)
fmt.Fprintf(w, "%s.%s.max %d %d\n", c.Prefix, name, t.Max()/int64(du), now)
fmt.Fprintf(w, "%s.%s.mean %.2f %d\n", c.Prefix, name, t.Mean()/du, now)
fmt.Fprintf(w, "%s.%s.std-dev %.2f %d\n", c.Prefix, name, t.StdDev()/du, now)
for psIdx, psKey := range c.Percentiles {
key := strings.Replace(strconv.FormatFloat(psKey*100.0, 'f', -1, 64), ".", "", 1)
fmt.Fprintf(w, "%s.%s.%s-percentile %.2f %d\n", c.Prefix, name, key, ps[psIdx], now)
}
fmt.Fprintf(w, "%s.%s.one-minute %.2f %d\n", c.Prefix, name, t.Rate1(), now)
fmt.Fprintf(w, "%s.%s.five-minute %.2f %d\n", c.Prefix, name, t.Rate5(), now)
fmt.Fprintf(w, "%s.%s.fifteen-minute %.2f %d\n", c.Prefix, name, t.Rate15(), now)
fmt.Fprintf(w, "%s.%s.mean-rate %.2f %d\n", c.Prefix, name, t.RateMean(), now)
}
w.Flush()
})
return nil
}

61
vendor/github.com/rcrowley/go-metrics/healthcheck.go generated vendored
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@ -1,61 +0,0 @@
package metrics
// Healthchecks hold an error value describing an arbitrary up/down status.
type Healthcheck interface {
Check()
Error() error
Healthy()
Unhealthy(error)
}
// NewHealthcheck constructs a new Healthcheck which will use the given
// function to update its status.
func NewHealthcheck(f func(Healthcheck)) Healthcheck {
if UseNilMetrics {
return NilHealthcheck{}
}
return &StandardHealthcheck{nil, f}
}
// NilHealthcheck is a no-op.
type NilHealthcheck struct{}
// Check is a no-op.
func (NilHealthcheck) Check() {}
// Error is a no-op.
func (NilHealthcheck) Error() error { return nil }
// Healthy is a no-op.
func (NilHealthcheck) Healthy() {}
// Unhealthy is a no-op.
func (NilHealthcheck) Unhealthy(error) {}
// StandardHealthcheck is the standard implementation of a Healthcheck and
// stores the status and a function to call to update the status.
type StandardHealthcheck struct {
err error
f func(Healthcheck)
}
// Check runs the healthcheck function to update the healthcheck's status.
func (h *StandardHealthcheck) Check() {
h.f(h)
}
// Error returns the healthcheck's status, which will be nil if it is healthy.
func (h *StandardHealthcheck) Error() error {
return h.err
}
// Healthy marks the healthcheck as healthy.
func (h *StandardHealthcheck) Healthy() {
h.err = nil
}
// Unhealthy marks the healthcheck as unhealthy. The error is stored and
// may be retrieved by the Error method.
func (h *StandardHealthcheck) Unhealthy(err error) {
h.err = err
}

202
vendor/github.com/rcrowley/go-metrics/histogram.go generated vendored
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@ -1,202 +0,0 @@
package metrics
// Histograms calculate distribution statistics from a series of int64 values.
type Histogram interface {
Clear()
Count() int64
Max() int64
Mean() float64
Min() int64
Percentile(float64) float64
Percentiles([]float64) []float64
Sample() Sample
Snapshot() Histogram
StdDev() float64
Sum() int64
Update(int64)
Variance() float64
}
// GetOrRegisterHistogram returns an existing Histogram or constructs and
// registers a new StandardHistogram.
func GetOrRegisterHistogram(name string, r Registry, s Sample) Histogram {
if nil == r {
r = DefaultRegistry
}
return r.GetOrRegister(name, func() Histogram { return NewHistogram(s) }).(Histogram)
}
// NewHistogram constructs a new StandardHistogram from a Sample.
func NewHistogram(s Sample) Histogram {
if UseNilMetrics {
return NilHistogram{}
}
return &StandardHistogram{sample: s}
}
// NewRegisteredHistogram constructs and registers a new StandardHistogram from
// a Sample.
func NewRegisteredHistogram(name string, r Registry, s Sample) Histogram {
c := NewHistogram(s)
if nil == r {
r = DefaultRegistry
}
r.Register(name, c)
return c
}
// HistogramSnapshot is a read-only copy of another Histogram.
type HistogramSnapshot struct {
sample *SampleSnapshot
}
// Clear panics.
func (*HistogramSnapshot) Clear() {
panic("Clear called on a HistogramSnapshot")
}
// Count returns the number of samples recorded at the time the snapshot was
// taken.
func (h *HistogramSnapshot) Count() int64 { return h.sample.Count() }
// Max returns the maximum value in the sample at the time the snapshot was
// taken.
func (h *HistogramSnapshot) Max() int64 { return h.sample.Max() }
// Mean returns the mean of the values in the sample at the time the snapshot
// was taken.
func (h *HistogramSnapshot) Mean() float64 { return h.sample.Mean() }
// Min returns the minimum value in the sample at the time the snapshot was
// taken.
func (h *HistogramSnapshot) Min() int64 { return h.sample.Min() }
// Percentile returns an arbitrary percentile of values in the sample at the
// time the snapshot was taken.
func (h *HistogramSnapshot) Percentile(p float64) float64 {
return h.sample.Percentile(p)
}
// Percentiles returns a slice of arbitrary percentiles of values in the sample
// at the time the snapshot was taken.
func (h *HistogramSnapshot) Percentiles(ps []float64) []float64 {
return h.sample.Percentiles(ps)
}
// Sample returns the Sample underlying the histogram.
func (h *HistogramSnapshot) Sample() Sample { return h.sample }
// Snapshot returns the snapshot.
func (h *HistogramSnapshot) Snapshot() Histogram { return h }
// StdDev returns the standard deviation of the values in the sample at the
// time the snapshot was taken.
func (h *HistogramSnapshot) StdDev() float64 { return h.sample.StdDev() }
// Sum returns the sum in the sample at the time the snapshot was taken.
func (h *HistogramSnapshot) Sum() int64 { return h.sample.Sum() }
// Update panics.
func (*HistogramSnapshot) Update(int64) {
panic("Update called on a HistogramSnapshot")
}
// Variance returns the variance of inputs at the time the snapshot was taken.
func (h *HistogramSnapshot) Variance() float64 { return h.sample.Variance() }
// NilHistogram is a no-op Histogram.
type NilHistogram struct{}
// Clear is a no-op.
func (NilHistogram) Clear() {}
// Count is a no-op.
func (NilHistogram) Count() int64 { return 0 }
// Max is a no-op.
func (NilHistogram) Max() int64 { return 0 }
// Mean is a no-op.
func (NilHistogram) Mean() float64 { return 0.0 }
// Min is a no-op.
func (NilHistogram) Min() int64 { return 0 }
// Percentile is a no-op.
func (NilHistogram) Percentile(p float64) float64 { return 0.0 }
// Percentiles is a no-op.
func (NilHistogram) Percentiles(ps []float64) []float64 {
return make([]float64, len(ps))
}
// Sample is a no-op.
func (NilHistogram) Sample() Sample { return NilSample{} }
// Snapshot is a no-op.
func (NilHistogram) Snapshot() Histogram { return NilHistogram{} }
// StdDev is a no-op.
func (NilHistogram) StdDev() float64 { return 0.0 }
// Sum is a no-op.
func (NilHistogram) Sum() int64 { return 0 }
// Update is a no-op.
func (NilHistogram) Update(v int64) {}
// Variance is a no-op.
func (NilHistogram) Variance() float64 { return 0.0 }
// StandardHistogram is the standard implementation of a Histogram and uses a
// Sample to bound its memory use.
type StandardHistogram struct {
sample Sample
}
// Clear clears the histogram and its sample.
func (h *StandardHistogram) Clear() { h.sample.Clear() }
// Count returns the number of samples recorded since the histogram was last
// cleared.
func (h *StandardHistogram) Count() int64 { return h.sample.Count() }
// Max returns the maximum value in the sample.
func (h *StandardHistogram) Max() int64 { return h.sample.Max() }
// Mean returns the mean of the values in the sample.
func (h *StandardHistogram) Mean() float64 { return h.sample.Mean() }
// Min returns the minimum value in the sample.
func (h *StandardHistogram) Min() int64 { return h.sample.Min() }
// Percentile returns an arbitrary percentile of the values in the sample.
func (h *StandardHistogram) Percentile(p float64) float64 {
return h.sample.Percentile(p)
}
// Percentiles returns a slice of arbitrary percentiles of the values in the
// sample.
func (h *StandardHistogram) Percentiles(ps []float64) []float64 {
return h.sample.Percentiles(ps)
}
// Sample returns the Sample underlying the histogram.
func (h *StandardHistogram) Sample() Sample { return h.sample }
// Snapshot returns a read-only copy of the histogram.
func (h *StandardHistogram) Snapshot() Histogram {
return &HistogramSnapshot{sample: h.sample.Snapshot().(*SampleSnapshot)}
}
// StdDev returns the standard deviation of the values in the sample.
func (h *StandardHistogram) StdDev() float64 { return h.sample.StdDev() }
// Sum returns the sum in the sample.
func (h *StandardHistogram) Sum() int64 { return h.sample.Sum() }
// Update samples a new value.
func (h *StandardHistogram) Update(v int64) { h.sample.Update(v) }
// Variance returns the variance of the values in the sample.
func (h *StandardHistogram) Variance() float64 { return h.sample.Variance() }

87
vendor/github.com/rcrowley/go-metrics/json.go generated vendored
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@ -1,87 +0,0 @@
package metrics
import (
"encoding/json"
"io"
"time"
)
// MarshalJSON returns a byte slice containing a JSON representation of all
// the metrics in the Registry.
func (r *StandardRegistry) MarshalJSON() ([]byte, error) {
data := make(map[string]map[string]interface{})
r.Each(func(name string, i interface{}) {
values := make(map[string]interface{})
switch metric := i.(type) {
case Counter:
values["count"] = metric.Count()
case Gauge:
values["value"] = metric.Value()
case GaugeFloat64:
values["value"] = metric.Value()
case Healthcheck:
values["error"] = nil
metric.Check()
if err := metric.Error(); nil != err {
values["error"] = metric.Error().Error()
}
case Histogram:
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
values["count"] = h.Count()
values["min"] = h.Min()
values["max"] = h.Max()
values["mean"] = h.Mean()
values["stddev"] = h.StdDev()
values["median"] = ps[0]
values["75%"] = ps[1]
values["95%"] = ps[2]
values["99%"] = ps[3]
values["99.9%"] = ps[4]
case Meter:
m := metric.Snapshot()
values["count"] = m.Count()
values["1m.rate"] = m.Rate1()
values["5m.rate"] = m.Rate5()
values["15m.rate"] = m.Rate15()
values["mean.rate"] = m.RateMean()
case Timer:
t := metric.Snapshot()
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
values["count"] = t.Count()
values["min"] = t.Min()
values["max"] = t.Max()
values["mean"] = t.Mean()
values["stddev"] = t.StdDev()
values["median"] = ps[0]
values["75%"] = ps[1]
values["95%"] = ps[2]
values["99%"] = ps[3]
values["99.9%"] = ps[4]
values["1m.rate"] = t.Rate1()
values["5m.rate"] = t.Rate5()
values["15m.rate"] = t.Rate15()
values["mean.rate"] = t.RateMean()
}
data[name] = values
})
return json.Marshal(data)
}
// WriteJSON writes metrics from the given registry periodically to the
// specified io.Writer as JSON.
func WriteJSON(r Registry, d time.Duration, w io.Writer) {
for _ = range time.Tick(d) {
WriteJSONOnce(r, w)
}
}
// WriteJSONOnce writes metrics from the given registry to the specified
// io.Writer as JSON.
func WriteJSONOnce(r Registry, w io.Writer) {
json.NewEncoder(w).Encode(r)
}
func (p *PrefixedRegistry) MarshalJSON() ([]byte, error) {
return json.Marshal(p.underlying)
}

80
vendor/github.com/rcrowley/go-metrics/log.go generated vendored
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@ -1,80 +0,0 @@
package metrics
import (
"time"
)
type Logger interface {
Printf(format string, v ...interface{})
}
func Log(r Registry, freq time.Duration, l Logger) {
LogScaled(r, freq, time.Nanosecond, l)
}
// Output each metric in the given registry periodically using the given
// logger. Print timings in `scale` units (eg time.Millisecond) rather than nanos.
func LogScaled(r Registry, freq time.Duration, scale time.Duration, l Logger) {
du := float64(scale)
duSuffix := scale.String()[1:]
for _ = range time.Tick(freq) {
r.Each(func(name string, i interface{}) {
switch metric := i.(type) {
case Counter:
l.Printf("counter %s\n", name)
l.Printf(" count: %9d\n", metric.Count())
case Gauge:
l.Printf("gauge %s\n", name)
l.Printf(" value: %9d\n", metric.Value())
case GaugeFloat64:
l.Printf("gauge %s\n", name)
l.Printf(" value: %f\n", metric.Value())
case Healthcheck:
metric.Check()
l.Printf("healthcheck %s\n", name)
l.Printf(" error: %v\n", metric.Error())
case Histogram:
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
l.Printf("histogram %s\n", name)
l.Printf(" count: %9d\n", h.Count())
l.Printf(" min: %9d\n", h.Min())
l.Printf(" max: %9d\n", h.Max())
l.Printf(" mean: %12.2f\n", h.Mean())
l.Printf(" stddev: %12.2f\n", h.StdDev())
l.Printf(" median: %12.2f\n", ps[0])
l.Printf(" 75%%: %12.2f\n", ps[1])
l.Printf(" 95%%: %12.2f\n", ps[2])
l.Printf(" 99%%: %12.2f\n", ps[3])
l.Printf(" 99.9%%: %12.2f\n", ps[4])
case Meter:
m := metric.Snapshot()
l.Printf("meter %s\n", name)
l.Printf(" count: %9d\n", m.Count())
l.Printf(" 1-min rate: %12.2f\n", m.Rate1())
l.Printf(" 5-min rate: %12.2f\n", m.Rate5())
l.Printf(" 15-min rate: %12.2f\n", m.Rate15())
l.Printf(" mean rate: %12.2f\n", m.RateMean())
case Timer:
t := metric.Snapshot()
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
l.Printf("timer %s\n", name)
l.Printf(" count: %9d\n", t.Count())
l.Printf(" min: %12.2f%s\n", float64(t.Min())/du, duSuffix)
l.Printf(" max: %12.2f%s\n", float64(t.Max())/du, duSuffix)
l.Printf(" mean: %12.2f%s\n", t.Mean()/du, duSuffix)
l.Printf(" stddev: %12.2f%s\n", t.StdDev()/du, duSuffix)
l.Printf(" median: %12.2f%s\n", ps[0]/du, duSuffix)
l.Printf(" 75%%: %12.2f%s\n", ps[1]/du, duSuffix)
l.Printf(" 95%%: %12.2f%s\n", ps[2]/du, duSuffix)
l.Printf(" 99%%: %12.2f%s\n", ps[3]/du, duSuffix)
l.Printf(" 99.9%%: %12.2f%s\n", ps[4]/du, duSuffix)
l.Printf(" 1-min rate: %12.2f\n", t.Rate1())
l.Printf(" 5-min rate: %12.2f\n", t.Rate5())
l.Printf(" 15-min rate: %12.2f\n", t.Rate15())
l.Printf(" mean rate: %12.2f\n", t.RateMean())
}
})
}
}

285
vendor/github.com/rcrowley/go-metrics/memory.md generated vendored
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@ -1,285 +0,0 @@
Memory usage
============
(Highly unscientific.)
Command used to gather static memory usage:
```sh
grep ^Vm "/proc/$(ps fax | grep [m]etrics-bench | awk '{print $1}')/status"
```
Program used to gather baseline memory usage:
```go
package main
import "time"
func main() {
time.Sleep(600e9)
}
```
Baseline
--------
```
VmPeak: 42604 kB
VmSize: 42604 kB
VmLck: 0 kB
VmHWM: 1120 kB
VmRSS: 1120 kB
VmData: 35460 kB
VmStk: 136 kB
VmExe: 1020 kB
VmLib: 1848 kB
VmPTE: 36 kB
VmSwap: 0 kB
```
Program used to gather metric memory usage (with other metrics being similar):
```go
package main
import (
"fmt"
"metrics"
"time"
)
func main() {
fmt.Sprintf("foo")
metrics.NewRegistry()
time.Sleep(600e9)
}
```
1000 counters registered
------------------------
```
VmPeak: 44016 kB
VmSize: 44016 kB
VmLck: 0 kB
VmHWM: 1928 kB
VmRSS: 1928 kB
VmData: 36868 kB
VmStk: 136 kB
VmExe: 1024 kB
VmLib: 1848 kB
VmPTE: 40 kB
VmSwap: 0 kB
```
**1.412 kB virtual, TODO 0.808 kB resident per counter.**
100000 counters registered
--------------------------
```
VmPeak: 55024 kB
VmSize: 55024 kB
VmLck: 0 kB
VmHWM: 12440 kB
VmRSS: 12440 kB
VmData: 47876 kB
VmStk: 136 kB
VmExe: 1024 kB
VmLib: 1848 kB
VmPTE: 64 kB
VmSwap: 0 kB
```
**0.1242 kB virtual, 0.1132 kB resident per counter.**
1000 gauges registered
----------------------
```
VmPeak: 44012 kB
VmSize: 44012 kB
VmLck: 0 kB
VmHWM: 1928 kB
VmRSS: 1928 kB
VmData: 36868 kB
VmStk: 136 kB
VmExe: 1020 kB
VmLib: 1848 kB
VmPTE: 40 kB
VmSwap: 0 kB
```
**1.408 kB virtual, 0.808 kB resident per counter.**
100000 gauges registered
------------------------
```
VmPeak: 55020 kB
VmSize: 55020 kB
VmLck: 0 kB
VmHWM: 12432 kB
VmRSS: 12432 kB
VmData: 47876 kB
VmStk: 136 kB
VmExe: 1020 kB
VmLib: 1848 kB
VmPTE: 60 kB
VmSwap: 0 kB
```
**0.12416 kB virtual, 0.11312 resident per gauge.**
1000 histograms with a uniform sample size of 1028
--------------------------------------------------
```
VmPeak: 72272 kB
VmSize: 72272 kB
VmLck: 0 kB
VmHWM: 16204 kB
VmRSS: 16204 kB
VmData: 65100 kB
VmStk: 136 kB
VmExe: 1048 kB
VmLib: 1848 kB
VmPTE: 80 kB
VmSwap: 0 kB
```
**29.668 kB virtual, TODO 15.084 resident per histogram.**
10000 histograms with a uniform sample size of 1028
---------------------------------------------------
```
VmPeak: 256912 kB
VmSize: 256912 kB
VmLck: 0 kB
VmHWM: 146204 kB
VmRSS: 146204 kB
VmData: 249740 kB
VmStk: 136 kB
VmExe: 1048 kB
VmLib: 1848 kB
VmPTE: 448 kB
VmSwap: 0 kB
```
**21.4308 kB virtual, 14.5084 kB resident per histogram.**
50000 histograms with a uniform sample size of 1028
---------------------------------------------------
```
VmPeak: 908112 kB
VmSize: 908112 kB
VmLck: 0 kB
VmHWM: 645832 kB
VmRSS: 645588 kB
VmData: 900940 kB
VmStk: 136 kB
VmExe: 1048 kB
VmLib: 1848 kB
VmPTE: 1716 kB
VmSwap: 1544 kB
```
**17.31016 kB virtual, 12.88936 kB resident per histogram.**
1000 histograms with an exponentially-decaying sample size of 1028 and alpha of 0.015
-------------------------------------------------------------------------------------
```
VmPeak: 62480 kB
VmSize: 62480 kB
VmLck: 0 kB
VmHWM: 11572 kB
VmRSS: 11572 kB
VmData: 55308 kB
VmStk: 136 kB
VmExe: 1048 kB
VmLib: 1848 kB
VmPTE: 64 kB
VmSwap: 0 kB
```
**19.876 kB virtual, 10.452 kB resident per histogram.**
10000 histograms with an exponentially-decaying sample size of 1028 and alpha of 0.015
--------------------------------------------------------------------------------------
```
VmPeak: 153296 kB
VmSize: 153296 kB
VmLck: 0 kB
VmHWM: 101176 kB
VmRSS: 101176 kB
VmData: 146124 kB
VmStk: 136 kB
VmExe: 1048 kB
VmLib: 1848 kB
VmPTE: 240 kB
VmSwap: 0 kB
```
**11.0692 kB virtual, 10.0056 kB resident per histogram.**
50000 histograms with an exponentially-decaying sample size of 1028 and alpha of 0.015
--------------------------------------------------------------------------------------
```
VmPeak: 557264 kB
VmSize: 557264 kB
VmLck: 0 kB
VmHWM: 501056 kB
VmRSS: 501056 kB
VmData: 550092 kB
VmStk: 136 kB
VmExe: 1048 kB
VmLib: 1848 kB
VmPTE: 1032 kB
VmSwap: 0 kB
```
**10.2932 kB virtual, 9.99872 kB resident per histogram.**
1000 meters
-----------
```
VmPeak: 74504 kB
VmSize: 74504 kB
VmLck: 0 kB
VmHWM: 24124 kB
VmRSS: 24124 kB
VmData: 67340 kB
VmStk: 136 kB
VmExe: 1040 kB
VmLib: 1848 kB
VmPTE: 92 kB
VmSwap: 0 kB
```
**31.9 kB virtual, 23.004 kB resident per meter.**
10000 meters
------------
```
VmPeak: 278920 kB
VmSize: 278920 kB
VmLck: 0 kB
VmHWM: 227300 kB
VmRSS: 227300 kB
VmData: 271756 kB
VmStk: 136 kB
VmExe: 1040 kB
VmLib: 1848 kB
VmPTE: 488 kB
VmSwap: 0 kB
```
**23.6316 kB virtual, 22.618 kB resident per meter.**

233
vendor/github.com/rcrowley/go-metrics/meter.go generated vendored
View File

@ -1,233 +0,0 @@
package metrics
import (
"sync"
"time"
)
// Meters count events to produce exponentially-weighted moving average rates
// at one-, five-, and fifteen-minutes and a mean rate.
type Meter interface {
Count() int64
Mark(int64)
Rate1() float64
Rate5() float64
Rate15() float64
RateMean() float64
Snapshot() Meter
}
// GetOrRegisterMeter returns an existing Meter or constructs and registers a
// new StandardMeter.
func GetOrRegisterMeter(name string, r Registry) Meter {
if nil == r {
r = DefaultRegistry
}
return r.GetOrRegister(name, NewMeter).(Meter)
}
// NewMeter constructs a new StandardMeter and launches a goroutine.
func NewMeter() Meter {
if UseNilMetrics {
return NilMeter{}
}
m := newStandardMeter()
arbiter.Lock()
defer arbiter.Unlock()
arbiter.meters = append(arbiter.meters, m)
if !arbiter.started {
arbiter.started = true
go arbiter.tick()
}
return m
}
// NewMeter constructs and registers a new StandardMeter and launches a
// goroutine.
func NewRegisteredMeter(name string, r Registry) Meter {
c := NewMeter()
if nil == r {
r = DefaultRegistry
}
r.Register(name, c)
return c
}
// MeterSnapshot is a read-only copy of another Meter.
type MeterSnapshot struct {
count int64
rate1, rate5, rate15, rateMean float64
}
// Count returns the count of events at the time the snapshot was taken.
func (m *MeterSnapshot) Count() int64 { return m.count }
// Mark panics.
func (*MeterSnapshot) Mark(n int64) {
panic("Mark called on a MeterSnapshot")
}
// Rate1 returns the one-minute moving average rate of events per second at the
// time the snapshot was taken.
func (m *MeterSnapshot) Rate1() float64 { return m.rate1 }
// Rate5 returns the five-minute moving average rate of events per second at
// the time the snapshot was taken.
func (m *MeterSnapshot) Rate5() float64 { return m.rate5 }
// Rate15 returns the fifteen-minute moving average rate of events per second
// at the time the snapshot was taken.
func (m *MeterSnapshot) Rate15() float64 { return m.rate15 }
// RateMean returns the meter's mean rate of events per second at the time the
// snapshot was taken.
func (m *MeterSnapshot) RateMean() float64 { return m.rateMean }
// Snapshot returns the snapshot.
func (m *MeterSnapshot) Snapshot() Meter { return m }
// NilMeter is a no-op Meter.
type NilMeter struct{}
// Count is a no-op.
func (NilMeter) Count() int64 { return 0 }
// Mark is a no-op.
func (NilMeter) Mark(n int64) {}
// Rate1 is a no-op.
func (NilMeter) Rate1() float64 { return 0.0 }
// Rate5 is a no-op.
func (NilMeter) Rate5() float64 { return 0.0 }
// Rate15is a no-op.
func (NilMeter) Rate15() float64 { return 0.0 }
// RateMean is a no-op.
func (NilMeter) RateMean() float64 { return 0.0 }
// Snapshot is a no-op.
func (NilMeter) Snapshot() Meter { return NilMeter{} }
// StandardMeter is the standard implementation of a Meter.
type StandardMeter struct {
lock sync.RWMutex
snapshot *MeterSnapshot
a1, a5, a15 EWMA
startTime time.Time
}
func newStandardMeter() *StandardMeter {
return &StandardMeter{
snapshot: &MeterSnapshot{},
a1: NewEWMA1(),
a5: NewEWMA5(),
a15: NewEWMA15(),
startTime: time.Now(),
}
}
// Count returns the number of events recorded.
func (m *StandardMeter) Count() int64 {
m.lock.RLock()
count := m.snapshot.count
m.lock.RUnlock()
return count
}
// Mark records the occurance of n events.
func (m *StandardMeter) Mark(n int64) {
m.lock.Lock()
defer m.lock.Unlock()
m.snapshot.count += n
m.a1.Update(n)
m.a5.Update(n)
m.a15.Update(n)
m.updateSnapshot()
}
// Rate1 returns the one-minute moving average rate of events per second.
func (m *StandardMeter) Rate1() float64 {
m.lock.RLock()
rate1 := m.snapshot.rate1
m.lock.RUnlock()
return rate1
}
// Rate5 returns the five-minute moving average rate of events per second.
func (m *StandardMeter) Rate5() float64 {
m.lock.RLock()
rate5 := m.snapshot.rate5
m.lock.RUnlock()
return rate5
}
// Rate15 returns the fifteen-minute moving average rate of events per second.
func (m *StandardMeter) Rate15() float64 {
m.lock.RLock()
rate15 := m.snapshot.rate15
m.lock.RUnlock()
return rate15
}
// RateMean returns the meter's mean rate of events per second.
func (m *StandardMeter) RateMean() float64 {
m.lock.RLock()
rateMean := m.snapshot.rateMean
m.lock.RUnlock()
return rateMean
}
// Snapshot returns a read-only copy of the meter.
func (m *StandardMeter) Snapshot() Meter {
m.lock.RLock()
snapshot := *m.snapshot
m.lock.RUnlock()
return &snapshot
}
func (m *StandardMeter) updateSnapshot() {
// should run with write lock held on m.lock
snapshot := m.snapshot
snapshot.rate1 = m.a1.Rate()
snapshot.rate5 = m.a5.Rate()
snapshot.rate15 = m.a15.Rate()
snapshot.rateMean = float64(snapshot.count) / time.Since(m.startTime).Seconds()
}
func (m *StandardMeter) tick() {
m.lock.Lock()
defer m.lock.Unlock()
m.a1.Tick()
m.a5.Tick()
m.a15.Tick()
m.updateSnapshot()
}
type meterArbiter struct {
sync.RWMutex
started bool
meters []*StandardMeter
ticker *time.Ticker
}
var arbiter = meterArbiter{ticker: time.NewTicker(5e9)}
// Ticks meters on the scheduled interval
func (ma *meterArbiter) tick() {
for {
select {
case <-ma.ticker.C:
ma.tickMeters()
}
}
}
func (ma *meterArbiter) tickMeters() {
ma.RLock()
defer ma.RUnlock()
for _, meter := range ma.meters {
meter.tick()
}
}

13
vendor/github.com/rcrowley/go-metrics/metrics.go generated vendored
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@ -1,13 +0,0 @@
// Go port of Coda Hale's Metrics library
//
// <https://github.com/rcrowley/go-metrics>
//
// Coda Hale's original work: <https://github.com/codahale/metrics>
package metrics
// UseNilMetrics is checked by the constructor functions for all of the
// standard metrics. If it is true, the metric returned is a stub.
//
// This global kill-switch helps quantify the observer effect and makes
// for less cluttered pprof profiles.
var UseNilMetrics bool = false

119
vendor/github.com/rcrowley/go-metrics/opentsdb.go generated vendored
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@ -1,119 +0,0 @@
package metrics
import (
"bufio"
"fmt"
"log"
"net"
"os"
"strings"
"time"
)
var shortHostName string = ""
// OpenTSDBConfig provides a container with configuration parameters for
// the OpenTSDB exporter
type OpenTSDBConfig struct {
Addr *net.TCPAddr // Network address to connect to
Registry Registry // Registry to be exported
FlushInterval time.Duration // Flush interval
DurationUnit time.Duration // Time conversion unit for durations
Prefix string // Prefix to be prepended to metric names
}
// OpenTSDB is a blocking exporter function which reports metrics in r
// to a TSDB server located at addr, flushing them every d duration
// and prepending metric names with prefix.
func OpenTSDB(r Registry, d time.Duration, prefix string, addr *net.TCPAddr) {
OpenTSDBWithConfig(OpenTSDBConfig{
Addr: addr,
Registry: r,
FlushInterval: d,
DurationUnit: time.Nanosecond,
Prefix: prefix,
})
}
// OpenTSDBWithConfig is a blocking exporter function just like OpenTSDB,
// but it takes a OpenTSDBConfig instead.
func OpenTSDBWithConfig(c OpenTSDBConfig) {
for _ = range time.Tick(c.FlushInterval) {
if err := openTSDB(&c); nil != err {
log.Println(err)
}
}
}
func getShortHostname() string {
if shortHostName == "" {
host, _ := os.Hostname()
if index := strings.Index(host, "."); index > 0 {
shortHostName = host[:index]
} else {
shortHostName = host
}
}
return shortHostName
}
func openTSDB(c *OpenTSDBConfig) error {
shortHostname := getShortHostname()
now := time.Now().Unix()
du := float64(c.DurationUnit)
conn, err := net.DialTCP("tcp", nil, c.Addr)
if nil != err {
return err
}
defer conn.Close()
w := bufio.NewWriter(conn)
c.Registry.Each(func(name string, i interface{}) {
switch metric := i.(type) {
case Counter:
fmt.Fprintf(w, "put %s.%s.count %d %d host=%s\n", c.Prefix, name, now, metric.Count(), shortHostname)
case Gauge:
fmt.Fprintf(w, "put %s.%s.value %d %d host=%s\n", c.Prefix, name, now, metric.Value(), shortHostname)
case GaugeFloat64:
fmt.Fprintf(w, "put %s.%s.value %d %f host=%s\n", c.Prefix, name, now, metric.Value(), shortHostname)
case Histogram:
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
fmt.Fprintf(w, "put %s.%s.count %d %d host=%s\n", c.Prefix, name, now, h.Count(), shortHostname)
fmt.Fprintf(w, "put %s.%s.min %d %d host=%s\n", c.Prefix, name, now, h.Min(), shortHostname)
fmt.Fprintf(w, "put %s.%s.max %d %d host=%s\n", c.Prefix, name, now, h.Max(), shortHostname)
fmt.Fprintf(w, "put %s.%s.mean %d %.2f host=%s\n", c.Prefix, name, now, h.Mean(), shortHostname)
fmt.Fprintf(w, "put %s.%s.std-dev %d %.2f host=%s\n", c.Prefix, name, now, h.StdDev(), shortHostname)
fmt.Fprintf(w, "put %s.%s.50-percentile %d %.2f host=%s\n", c.Prefix, name, now, ps[0], shortHostname)
fmt.Fprintf(w, "put %s.%s.75-percentile %d %.2f host=%s\n", c.Prefix, name, now, ps[1], shortHostname)
fmt.Fprintf(w, "put %s.%s.95-percentile %d %.2f host=%s\n", c.Prefix, name, now, ps[2], shortHostname)
fmt.Fprintf(w, "put %s.%s.99-percentile %d %.2f host=%s\n", c.Prefix, name, now, ps[3], shortHostname)
fmt.Fprintf(w, "put %s.%s.999-percentile %d %.2f host=%s\n", c.Prefix, name, now, ps[4], shortHostname)
case Meter:
m := metric.Snapshot()
fmt.Fprintf(w, "put %s.%s.count %d %d host=%s\n", c.Prefix, name, now, m.Count(), shortHostname)
fmt.Fprintf(w, "put %s.%s.one-minute %d %.2f host=%s\n", c.Prefix, name, now, m.Rate1(), shortHostname)
fmt.Fprintf(w, "put %s.%s.five-minute %d %.2f host=%s\n", c.Prefix, name, now, m.Rate5(), shortHostname)
fmt.Fprintf(w, "put %s.%s.fifteen-minute %d %.2f host=%s\n", c.Prefix, name, now, m.Rate15(), shortHostname)
fmt.Fprintf(w, "put %s.%s.mean %d %.2f host=%s\n", c.Prefix, name, now, m.RateMean(), shortHostname)
case Timer:
t := metric.Snapshot()
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
fmt.Fprintf(w, "put %s.%s.count %d %d host=%s\n", c.Prefix, name, now, t.Count(), shortHostname)
fmt.Fprintf(w, "put %s.%s.min %d %d host=%s\n", c.Prefix, name, now, t.Min()/int64(du), shortHostname)
fmt.Fprintf(w, "put %s.%s.max %d %d host=%s\n", c.Prefix, name, now, t.Max()/int64(du), shortHostname)
fmt.Fprintf(w, "put %s.%s.mean %d %.2f host=%s\n", c.Prefix, name, now, t.Mean()/du, shortHostname)
fmt.Fprintf(w, "put %s.%s.std-dev %d %.2f host=%s\n", c.Prefix, name, now, t.StdDev()/du, shortHostname)
fmt.Fprintf(w, "put %s.%s.50-percentile %d %.2f host=%s\n", c.Prefix, name, now, ps[0]/du, shortHostname)
fmt.Fprintf(w, "put %s.%s.75-percentile %d %.2f host=%s\n", c.Prefix, name, now, ps[1]/du, shortHostname)
fmt.Fprintf(w, "put %s.%s.95-percentile %d %.2f host=%s\n", c.Prefix, name, now, ps[2]/du, shortHostname)
fmt.Fprintf(w, "put %s.%s.99-percentile %d %.2f host=%s\n", c.Prefix, name, now, ps[3]/du, shortHostname)
fmt.Fprintf(w, "put %s.%s.999-percentile %d %.2f host=%s\n", c.Prefix, name, now, ps[4]/du, shortHostname)
fmt.Fprintf(w, "put %s.%s.one-minute %d %.2f host=%s\n", c.Prefix, name, now, t.Rate1(), shortHostname)
fmt.Fprintf(w, "put %s.%s.five-minute %d %.2f host=%s\n", c.Prefix, name, now, t.Rate5(), shortHostname)
fmt.Fprintf(w, "put %s.%s.fifteen-minute %d %.2f host=%s\n", c.Prefix, name, now, t.Rate15(), shortHostname)
fmt.Fprintf(w, "put %s.%s.mean-rate %d %.2f host=%s\n", c.Prefix, name, now, t.RateMean(), shortHostname)
}
w.Flush()
})
return nil
}

270
vendor/github.com/rcrowley/go-metrics/registry.go generated vendored
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@ -1,270 +0,0 @@
package metrics
import (
"fmt"
"reflect"
"strings"
"sync"
)
// DuplicateMetric is the error returned by Registry.Register when a metric
// already exists. If you mean to Register that metric you must first
// Unregister the existing metric.
type DuplicateMetric string
func (err DuplicateMetric) Error() string {
return fmt.Sprintf("duplicate metric: %s", string(err))
}
// A Registry holds references to a set of metrics by name and can iterate
// over them, calling callback functions provided by the user.
//
// This is an interface so as to encourage other structs to implement
// the Registry API as appropriate.
type Registry interface {
// Call the given function for each registered metric.
Each(func(string, interface{}))
// Get the metric by the given name or nil if none is registered.
Get(string) interface{}
// Gets an existing metric or registers the given one.
// The interface can be the metric to register if not found in registry,
// or a function returning the metric for lazy instantiation.
GetOrRegister(string, interface{}) interface{}
// Register the given metric under the given name.
Register(string, interface{}) error
// Run all registered healthchecks.
RunHealthchecks()
// Unregister the metric with the given name.
Unregister(string)
// Unregister all metrics. (Mostly for testing.)
UnregisterAll()
}
// The standard implementation of a Registry is a mutex-protected map
// of names to metrics.
type StandardRegistry struct {
metrics map[string]interface{}
mutex sync.Mutex
}
// Create a new registry.
func NewRegistry() Registry {
return &StandardRegistry{metrics: make(map[string]interface{})}
}
// Call the given function for each registered metric.
func (r *StandardRegistry) Each(f func(string, interface{})) {
for name, i := range r.registered() {
f(name, i)
}
}
// Get the metric by the given name or nil if none is registered.
func (r *StandardRegistry) Get(name string) interface{} {
r.mutex.Lock()
defer r.mutex.Unlock()
return r.metrics[name]
}
// Gets an existing metric or creates and registers a new one. Threadsafe
// alternative to calling Get and Register on failure.
// The interface can be the metric to register if not found in registry,
// or a function returning the metric for lazy instantiation.
func (r *StandardRegistry) GetOrRegister(name string, i interface{}) interface{} {
r.mutex.Lock()
defer r.mutex.Unlock()
if metric, ok := r.metrics[name]; ok {
return metric
}
if v := reflect.ValueOf(i); v.Kind() == reflect.Func {
i = v.Call(nil)[0].Interface()
}
r.register(name, i)
return i
}
// Register the given metric under the given name. Returns a DuplicateMetric
// if a metric by the given name is already registered.
func (r *StandardRegistry) Register(name string, i interface{}) error {
r.mutex.Lock()
defer r.mutex.Unlock()
return r.register(name, i)
}
// Run all registered healthchecks.
func (r *StandardRegistry) RunHealthchecks() {
r.mutex.Lock()
defer r.mutex.Unlock()
for _, i := range r.metrics {
if h, ok := i.(Healthcheck); ok {
h.Check()
}
}
}
// Unregister the metric with the given name.
func (r *StandardRegistry) Unregister(name string) {
r.mutex.Lock()
defer r.mutex.Unlock()
delete(r.metrics, name)
}
// Unregister all metrics. (Mostly for testing.)
func (r *StandardRegistry) UnregisterAll() {
r.mutex.Lock()
defer r.mutex.Unlock()
for name, _ := range r.metrics {
delete(r.metrics, name)
}
}
func (r *StandardRegistry) register(name string, i interface{}) error {
if _, ok := r.metrics[name]; ok {
return DuplicateMetric(name)
}
switch i.(type) {
case Counter, Gauge, GaugeFloat64, Healthcheck, Histogram, Meter, Timer:
r.metrics[name] = i
}
return nil
}
func (r *StandardRegistry) registered() map[string]interface{} {
r.mutex.Lock()
defer r.mutex.Unlock()
metrics := make(map[string]interface{}, len(r.metrics))
for name, i := range r.metrics {
metrics[name] = i
}
return metrics
}
type PrefixedRegistry struct {
underlying Registry
prefix string
}
func NewPrefixedRegistry(prefix string) Registry {
return &PrefixedRegistry{
underlying: NewRegistry(),
prefix: prefix,
}
}
func NewPrefixedChildRegistry(parent Registry, prefix string) Registry {
return &PrefixedRegistry{
underlying: parent,
prefix: prefix,
}
}
// Call the given function for each registered metric.
func (r *PrefixedRegistry) Each(fn func(string, interface{})) {
wrappedFn := func(prefix string) func(string, interface{}) {
return func(name string, iface interface{}) {
if strings.HasPrefix(name, prefix) {
fn(name, iface)
} else {
return
}
}
}
baseRegistry, prefix := findPrefix(r, "")
baseRegistry.Each(wrappedFn(prefix))
}
func findPrefix(registry Registry, prefix string) (Registry, string) {
switch r := registry.(type) {
case *PrefixedRegistry:
return findPrefix(r.underlying, r.prefix+prefix)
case *StandardRegistry:
return r, prefix
}
return nil, ""
}
// Get the metric by the given name or nil if none is registered.
func (r *PrefixedRegistry) Get(name string) interface{} {
realName := r.prefix + name
return r.underlying.Get(realName)
}
// Gets an existing metric or registers the given one.
// The interface can be the metric to register if not found in registry,
// or a function returning the metric for lazy instantiation.
func (r *PrefixedRegistry) GetOrRegister(name string, metric interface{}) interface{} {
realName := r.prefix + name
return r.underlying.GetOrRegister(realName, metric)
}
// Register the given metric under the given name. The name will be prefixed.
func (r *PrefixedRegistry) Register(name string, metric interface{}) error {
realName := r.prefix + name
return r.underlying.Register(realName, metric)
}
// Run all registered healthchecks.
func (r *PrefixedRegistry) RunHealthchecks() {
r.underlying.RunHealthchecks()
}
// Unregister the metric with the given name. The name will be prefixed.
func (r *PrefixedRegistry) Unregister(name string) {
realName := r.prefix + name
r.underlying.Unregister(realName)
}
// Unregister all metrics. (Mostly for testing.)
func (r *PrefixedRegistry) UnregisterAll() {
r.underlying.UnregisterAll()
}
var DefaultRegistry Registry = NewRegistry()
// Call the given function for each registered metric.
func Each(f func(string, interface{})) {
DefaultRegistry.Each(f)
}
// Get the metric by the given name or nil if none is registered.
func Get(name string) interface{} {
return DefaultRegistry.Get(name)
}
// Gets an existing metric or creates and registers a new one. Threadsafe
// alternative to calling Get and Register on failure.
func GetOrRegister(name string, i interface{}) interface{} {
return DefaultRegistry.GetOrRegister(name, i)
}
// Register the given metric under the given name. Returns a DuplicateMetric
// if a metric by the given name is already registered.
func Register(name string, i interface{}) error {
return DefaultRegistry.Register(name, i)
}
// Register the given metric under the given name. Panics if a metric by the
// given name is already registered.
func MustRegister(name string, i interface{}) {
if err := Register(name, i); err != nil {
panic(err)
}
}
// Run all registered healthchecks.
func RunHealthchecks() {
DefaultRegistry.RunHealthchecks()
}
// Unregister the metric with the given name.
func Unregister(name string) {
DefaultRegistry.Unregister(name)
}

212
vendor/github.com/rcrowley/go-metrics/runtime.go generated vendored
View File

@ -1,212 +0,0 @@
package metrics
import (
"runtime"
"runtime/pprof"
"time"
)
var (
memStats runtime.MemStats
runtimeMetrics struct {
MemStats struct {
Alloc Gauge
BuckHashSys Gauge
DebugGC Gauge
EnableGC Gauge
Frees Gauge
HeapAlloc Gauge
HeapIdle Gauge
HeapInuse Gauge
HeapObjects Gauge
HeapReleased Gauge
HeapSys Gauge
LastGC Gauge
Lookups Gauge
Mallocs Gauge
MCacheInuse Gauge
MCacheSys Gauge
MSpanInuse Gauge
MSpanSys Gauge
NextGC Gauge
NumGC Gauge
GCCPUFraction GaugeFloat64
PauseNs Histogram
PauseTotalNs Gauge
StackInuse Gauge
StackSys Gauge
Sys Gauge
TotalAlloc Gauge
}
NumCgoCall Gauge
NumGoroutine Gauge
NumThread Gauge
ReadMemStats Timer
}
frees uint64
lookups uint64
mallocs uint64
numGC uint32
numCgoCalls int64
threadCreateProfile = pprof.Lookup("threadcreate")
)
// Capture new values for the Go runtime statistics exported in
// runtime.MemStats. This is designed to be called as a goroutine.
func CaptureRuntimeMemStats(r Registry, d time.Duration) {
for _ = range time.Tick(d) {
CaptureRuntimeMemStatsOnce(r)
}
}
// Capture new values for the Go runtime statistics exported in
// runtime.MemStats. This is designed to be called in a background
// goroutine. Giving a registry which has not been given to
// RegisterRuntimeMemStats will panic.
//
// Be very careful with this because runtime.ReadMemStats calls the C
// functions runtime·semacquire(&runtime·worldsema) and runtime·stoptheworld()
// and that last one does what it says on the tin.
func CaptureRuntimeMemStatsOnce(r Registry) {
t := time.Now()
runtime.ReadMemStats(&memStats) // This takes 50-200us.
runtimeMetrics.ReadMemStats.UpdateSince(t)
runtimeMetrics.MemStats.Alloc.Update(int64(memStats.Alloc))
runtimeMetrics.MemStats.BuckHashSys.Update(int64(memStats.BuckHashSys))
if memStats.DebugGC {
runtimeMetrics.MemStats.DebugGC.Update(1)
} else {
runtimeMetrics.MemStats.DebugGC.Update(0)
}
if memStats.EnableGC {
runtimeMetrics.MemStats.EnableGC.Update(1)
} else {
runtimeMetrics.MemStats.EnableGC.Update(0)
}
runtimeMetrics.MemStats.Frees.Update(int64(memStats.Frees - frees))
runtimeMetrics.MemStats.HeapAlloc.Update(int64(memStats.HeapAlloc))
runtimeMetrics.MemStats.HeapIdle.Update(int64(memStats.HeapIdle))
runtimeMetrics.MemStats.HeapInuse.Update(int64(memStats.HeapInuse))
runtimeMetrics.MemStats.HeapObjects.Update(int64(memStats.HeapObjects))
runtimeMetrics.MemStats.HeapReleased.Update(int64(memStats.HeapReleased))
runtimeMetrics.MemStats.HeapSys.Update(int64(memStats.HeapSys))
runtimeMetrics.MemStats.LastGC.Update(int64(memStats.LastGC))
runtimeMetrics.MemStats.Lookups.Update(int64(memStats.Lookups - lookups))
runtimeMetrics.MemStats.Mallocs.Update(int64(memStats.Mallocs - mallocs))
runtimeMetrics.MemStats.MCacheInuse.Update(int64(memStats.MCacheInuse))
runtimeMetrics.MemStats.MCacheSys.Update(int64(memStats.MCacheSys))
runtimeMetrics.MemStats.MSpanInuse.Update(int64(memStats.MSpanInuse))
runtimeMetrics.MemStats.MSpanSys.Update(int64(memStats.MSpanSys))
runtimeMetrics.MemStats.NextGC.Update(int64(memStats.NextGC))
runtimeMetrics.MemStats.NumGC.Update(int64(memStats.NumGC - numGC))
runtimeMetrics.MemStats.GCCPUFraction.Update(gcCPUFraction(&memStats))
// <https://code.google.com/p/go/source/browse/src/pkg/runtime/mgc0.c>
i := numGC % uint32(len(memStats.PauseNs))
ii := memStats.NumGC % uint32(len(memStats.PauseNs))
if memStats.NumGC-numGC >= uint32(len(memStats.PauseNs)) {
for i = 0; i < uint32(len(memStats.PauseNs)); i++ {
runtimeMetrics.MemStats.PauseNs.Update(int64(memStats.PauseNs[i]))
}
} else {
if i > ii {
for ; i < uint32(len(memStats.PauseNs)); i++ {
runtimeMetrics.MemStats.PauseNs.Update(int64(memStats.PauseNs[i]))
}
i = 0
}
for ; i < ii; i++ {
runtimeMetrics.MemStats.PauseNs.Update(int64(memStats.PauseNs[i]))
}
}
frees = memStats.Frees
lookups = memStats.Lookups
mallocs = memStats.Mallocs
numGC = memStats.NumGC
runtimeMetrics.MemStats.PauseTotalNs.Update(int64(memStats.PauseTotalNs))
runtimeMetrics.MemStats.StackInuse.Update(int64(memStats.StackInuse))
runtimeMetrics.MemStats.StackSys.Update(int64(memStats.StackSys))
runtimeMetrics.MemStats.Sys.Update(int64(memStats.Sys))
runtimeMetrics.MemStats.TotalAlloc.Update(int64(memStats.TotalAlloc))
currentNumCgoCalls := numCgoCall()
runtimeMetrics.NumCgoCall.Update(currentNumCgoCalls - numCgoCalls)
numCgoCalls = currentNumCgoCalls
runtimeMetrics.NumGoroutine.Update(int64(runtime.NumGoroutine()))
runtimeMetrics.NumThread.Update(int64(threadCreateProfile.Count()))
}
// Register runtimeMetrics for the Go runtime statistics exported in runtime and
// specifically runtime.MemStats. The runtimeMetrics are named by their
// fully-qualified Go symbols, i.e. runtime.MemStats.Alloc.
func RegisterRuntimeMemStats(r Registry) {
runtimeMetrics.MemStats.Alloc = NewGauge()
runtimeMetrics.MemStats.BuckHashSys = NewGauge()
runtimeMetrics.MemStats.DebugGC = NewGauge()
runtimeMetrics.MemStats.EnableGC = NewGauge()
runtimeMetrics.MemStats.Frees = NewGauge()
runtimeMetrics.MemStats.HeapAlloc = NewGauge()
runtimeMetrics.MemStats.HeapIdle = NewGauge()
runtimeMetrics.MemStats.HeapInuse = NewGauge()
runtimeMetrics.MemStats.HeapObjects = NewGauge()
runtimeMetrics.MemStats.HeapReleased = NewGauge()
runtimeMetrics.MemStats.HeapSys = NewGauge()
runtimeMetrics.MemStats.LastGC = NewGauge()
runtimeMetrics.MemStats.Lookups = NewGauge()
runtimeMetrics.MemStats.Mallocs = NewGauge()
runtimeMetrics.MemStats.MCacheInuse = NewGauge()
runtimeMetrics.MemStats.MCacheSys = NewGauge()
runtimeMetrics.MemStats.MSpanInuse = NewGauge()
runtimeMetrics.MemStats.MSpanSys = NewGauge()
runtimeMetrics.MemStats.NextGC = NewGauge()
runtimeMetrics.MemStats.NumGC = NewGauge()
runtimeMetrics.MemStats.GCCPUFraction = NewGaugeFloat64()
runtimeMetrics.MemStats.PauseNs = NewHistogram(NewExpDecaySample(1028, 0.015))
runtimeMetrics.MemStats.PauseTotalNs = NewGauge()
runtimeMetrics.MemStats.StackInuse = NewGauge()
runtimeMetrics.MemStats.StackSys = NewGauge()
runtimeMetrics.MemStats.Sys = NewGauge()
runtimeMetrics.MemStats.TotalAlloc = NewGauge()
runtimeMetrics.NumCgoCall = NewGauge()
runtimeMetrics.NumGoroutine = NewGauge()
runtimeMetrics.NumThread = NewGauge()
runtimeMetrics.ReadMemStats = NewTimer()
r.Register("runtime.MemStats.Alloc", runtimeMetrics.MemStats.Alloc)
r.Register("runtime.MemStats.BuckHashSys", runtimeMetrics.MemStats.BuckHashSys)
r.Register("runtime.MemStats.DebugGC", runtimeMetrics.MemStats.DebugGC)
r.Register("runtime.MemStats.EnableGC", runtimeMetrics.MemStats.EnableGC)
r.Register("runtime.MemStats.Frees", runtimeMetrics.MemStats.Frees)
r.Register("runtime.MemStats.HeapAlloc", runtimeMetrics.MemStats.HeapAlloc)
r.Register("runtime.MemStats.HeapIdle", runtimeMetrics.MemStats.HeapIdle)
r.Register("runtime.MemStats.HeapInuse", runtimeMetrics.MemStats.HeapInuse)
r.Register("runtime.MemStats.HeapObjects", runtimeMetrics.MemStats.HeapObjects)
r.Register("runtime.MemStats.HeapReleased", runtimeMetrics.MemStats.HeapReleased)
r.Register("runtime.MemStats.HeapSys", runtimeMetrics.MemStats.HeapSys)
r.Register("runtime.MemStats.LastGC", runtimeMetrics.MemStats.LastGC)
r.Register("runtime.MemStats.Lookups", runtimeMetrics.MemStats.Lookups)
r.Register("runtime.MemStats.Mallocs", runtimeMetrics.MemStats.Mallocs)
r.Register("runtime.MemStats.MCacheInuse", runtimeMetrics.MemStats.MCacheInuse)
r.Register("runtime.MemStats.MCacheSys", runtimeMetrics.MemStats.MCacheSys)
r.Register("runtime.MemStats.MSpanInuse", runtimeMetrics.MemStats.MSpanInuse)
r.Register("runtime.MemStats.MSpanSys", runtimeMetrics.MemStats.MSpanSys)
r.Register("runtime.MemStats.NextGC", runtimeMetrics.MemStats.NextGC)
r.Register("runtime.MemStats.NumGC", runtimeMetrics.MemStats.NumGC)
r.Register("runtime.MemStats.GCCPUFraction", runtimeMetrics.MemStats.GCCPUFraction)
r.Register("runtime.MemStats.PauseNs", runtimeMetrics.MemStats.PauseNs)
r.Register("runtime.MemStats.PauseTotalNs", runtimeMetrics.MemStats.PauseTotalNs)
r.Register("runtime.MemStats.StackInuse", runtimeMetrics.MemStats.StackInuse)
r.Register("runtime.MemStats.StackSys", runtimeMetrics.MemStats.StackSys)
r.Register("runtime.MemStats.Sys", runtimeMetrics.MemStats.Sys)
r.Register("runtime.MemStats.TotalAlloc", runtimeMetrics.MemStats.TotalAlloc)
r.Register("runtime.NumCgoCall", runtimeMetrics.NumCgoCall)
r.Register("runtime.NumGoroutine", runtimeMetrics.NumGoroutine)
r.Register("runtime.NumThread", runtimeMetrics.NumThread)
r.Register("runtime.ReadMemStats", runtimeMetrics.ReadMemStats)
}

10
vendor/github.com/rcrowley/go-metrics/runtime_cgo.go generated vendored
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@ -1,10 +0,0 @@
// +build cgo
// +build !appengine
package metrics
import "runtime"
func numCgoCall() int64 {
return runtime.NumCgoCall()
}

9
vendor/github.com/rcrowley/go-metrics/runtime_gccpufraction.go generated vendored
View File

@ -1,9 +0,0 @@
// +build go1.5
package metrics
import "runtime"
func gcCPUFraction(memStats *runtime.MemStats) float64 {
return memStats.GCCPUFraction
}

7
vendor/github.com/rcrowley/go-metrics/runtime_no_cgo.go generated vendored
View File

@ -1,7 +0,0 @@
// +build !cgo appengine
package metrics
func numCgoCall() int64 {
return 0
}

9
vendor/github.com/rcrowley/go-metrics/runtime_no_gccpufraction.go generated vendored
View File

@ -1,9 +0,0 @@
// +build !go1.5
package metrics
import "runtime"
func gcCPUFraction(memStats *runtime.MemStats) float64 {
return 0
}

616
vendor/github.com/rcrowley/go-metrics/sample.go generated vendored
View File

@ -1,616 +0,0 @@
package metrics
import (
"math"
"math/rand"
"sort"
"sync"
"time"
)
const rescaleThreshold = time.Hour
// Samples maintain a statistically-significant selection of values from
// a stream.
type Sample interface {
Clear()
Count() int64
Max() int64
Mean() float64
Min() int64
Percentile(float64) float64
Percentiles([]float64) []float64
Size() int
Snapshot() Sample
StdDev() float64
Sum() int64
Update(int64)
Values() []int64
Variance() float64
}
// ExpDecaySample is an exponentially-decaying sample using a forward-decaying
// priority reservoir. See Cormode et al's "Forward Decay: A Practical Time
// Decay Model for Streaming Systems".
//
// <http://dimacs.rutgers.edu/~graham/pubs/papers/fwddecay.pdf>
type ExpDecaySample struct {
alpha float64
count int64
mutex sync.Mutex
reservoirSize int
t0, t1 time.Time
values *expDecaySampleHeap
}
// NewExpDecaySample constructs a new exponentially-decaying sample with the
// given reservoir size and alpha.
func NewExpDecaySample(reservoirSize int, alpha float64) Sample {
if UseNilMetrics {
return NilSample{}
}
s := &ExpDecaySample{
alpha: alpha,
reservoirSize: reservoirSize,
t0: time.Now(),
values: newExpDecaySampleHeap(reservoirSize),
}
s.t1 = s.t0.Add(rescaleThreshold)
return s
}
// Clear clears all samples.
func (s *ExpDecaySample) Clear() {
s.mutex.Lock()
defer s.mutex.Unlock()
s.count = 0
s.t0 = time.Now()
s.t1 = s.t0.Add(rescaleThreshold)
s.values.Clear()
}
// Count returns the number of samples recorded, which may exceed the
// reservoir size.
func (s *ExpDecaySample) Count() int64 {
s.mutex.Lock()
defer s.mutex.Unlock()
return s.count
}
// Max returns the maximum value in the sample, which may not be the maximum
// value ever to be part of the sample.
func (s *ExpDecaySample) Max() int64 {
return SampleMax(s.Values())
}
// Mean returns the mean of the values in the sample.
func (s *ExpDecaySample) Mean() float64 {
return SampleMean(s.Values())
}
// Min returns the minimum value in the sample, which may not be the minimum
// value ever to be part of the sample.
func (s *ExpDecaySample) Min() int64 {
return SampleMin(s.Values())
}
// Percentile returns an arbitrary percentile of values in the sample.
func (s *ExpDecaySample) Percentile(p float64) float64 {
return SamplePercentile(s.Values(), p)
}
// Percentiles returns a slice of arbitrary percentiles of values in the
// sample.
func (s *ExpDecaySample) Percentiles(ps []float64) []float64 {
return SamplePercentiles(s.Values(), ps)
}
// Size returns the size of the sample, which is at most the reservoir size.
func (s *ExpDecaySample) Size() int {
s.mutex.Lock()
defer s.mutex.Unlock()
return s.values.Size()
}
// Snapshot returns a read-only copy of the sample.
func (s *ExpDecaySample) Snapshot() Sample {
s.mutex.Lock()
defer s.mutex.Unlock()
vals := s.values.Values()
values := make([]int64, len(vals))
for i, v := range vals {
values[i] = v.v
}
return &SampleSnapshot{
count: s.count,
values: values,
}
}
// StdDev returns the standard deviation of the values in the sample.
func (s *ExpDecaySample) StdDev() float64 {
return SampleStdDev(s.Values())
}
// Sum returns the sum of the values in the sample.
func (s *ExpDecaySample) Sum() int64 {
return SampleSum(s.Values())
}
// Update samples a new value.
func (s *ExpDecaySample) Update(v int64) {
s.update(time.Now(), v)
}
// Values returns a copy of the values in the sample.
func (s *ExpDecaySample) Values() []int64 {
s.mutex.Lock()
defer s.mutex.Unlock()
vals := s.values.Values()
values := make([]int64, len(vals))
for i, v := range vals {
values[i] = v.v
}
return values
}
// Variance returns the variance of the values in the sample.
func (s *ExpDecaySample) Variance() float64 {
return SampleVariance(s.Values())
}
// update samples a new value at a particular timestamp. This is a method all
// its own to facilitate testing.
func (s *ExpDecaySample) update(t time.Time, v int64) {
s.mutex.Lock()
defer s.mutex.Unlock()
s.count++
if s.values.Size() == s.reservoirSize {
s.values.Pop()
}
s.values.Push(expDecaySample{
k: math.Exp(t.Sub(s.t0).Seconds()*s.alpha) / rand.Float64(),
v: v,
})
if t.After(s.t1) {
values := s.values.Values()
t0 := s.t0
s.values.Clear()
s.t0 = t
s.t1 = s.t0.Add(rescaleThreshold)
for _, v := range values {
v.k = v.k * math.Exp(-s.alpha*s.t0.Sub(t0).Seconds())
s.values.Push(v)
}
}
}
// NilSample is a no-op Sample.
type NilSample struct{}
// Clear is a no-op.
func (NilSample) Clear() {}
// Count is a no-op.
func (NilSample) Count() int64 { return 0 }
// Max is a no-op.
func (NilSample) Max() int64 { return 0 }
// Mean is a no-op.
func (NilSample) Mean() float64 { return 0.0 }
// Min is a no-op.
func (NilSample) Min() int64 { return 0 }
// Percentile is a no-op.
func (NilSample) Percentile(p float64) float64 { return 0.0 }
// Percentiles is a no-op.
func (NilSample) Percentiles(ps []float64) []float64 {
return make([]float64, len(ps))
}
// Size is a no-op.
func (NilSample) Size() int { return 0 }
// Sample is a no-op.
func (NilSample) Snapshot() Sample { return NilSample{} }
// StdDev is a no-op.
func (NilSample) StdDev() float64 { return 0.0 }
// Sum is a no-op.
func (NilSample) Sum() int64 { return 0 }
// Update is a no-op.
func (NilSample) Update(v int64) {}
// Values is a no-op.
func (NilSample) Values() []int64 { return []int64{} }
// Variance is a no-op.
func (NilSample) Variance() float64 { return 0.0 }
// SampleMax returns the maximum value of the slice of int64.
func SampleMax(values []int64) int64 {
if 0 == len(values) {
return 0
}
var max int64 = math.MinInt64
for _, v := range values {
if max < v {
max = v
}
}
return max
}
// SampleMean returns the mean value of the slice of int64.
func SampleMean(values []int64) float64 {
if 0 == len(values) {
return 0.0
}
return float64(SampleSum(values)) / float64(len(values))
}
// SampleMin returns the minimum value of the slice of int64.
func SampleMin(values []int64) int64 {
if 0 == len(values) {
return 0
}
var min int64 = math.MaxInt64
for _, v := range values {
if min > v {
min = v
}
}
return min
}
// SamplePercentiles returns an arbitrary percentile of the slice of int64.
func SamplePercentile(values int64Slice, p float64) float64 {
return SamplePercentiles(values, []float64{p})[0]
}
// SamplePercentiles returns a slice of arbitrary percentiles of the slice of
// int64.
func SamplePercentiles(values int64Slice, ps []float64) []float64 {
scores := make([]float64, len(ps))
size := len(values)
if size > 0 {
sort.Sort(values)
for i, p := range ps {
pos := p * float64(size+1)
if pos < 1.0 {
scores[i] = float64(values[0])
} else if pos >= float64(size) {
scores[i] = float64(values[size-1])
} else {
lower := float64(values[int(pos)-1])
upper := float64(values[int(pos)])
scores[i] = lower + (pos-math.Floor(pos))*(upper-lower)
}
}
}
return scores
}
// SampleSnapshot is a read-only copy of another Sample.
type SampleSnapshot struct {
count int64
values []int64
}
func NewSampleSnapshot(count int64, values []int64) *SampleSnapshot {
return &SampleSnapshot{
count: count,
values: values,
}
}
// Clear panics.
func (*SampleSnapshot) Clear() {
panic("Clear called on a SampleSnapshot")
}
// Count returns the count of inputs at the time the snapshot was taken.
func (s *SampleSnapshot) Count() int64 { return s.count }
// Max returns the maximal value at the time the snapshot was taken.
func (s *SampleSnapshot) Max() int64 { return SampleMax(s.values) }
// Mean returns the mean value at the time the snapshot was taken.
func (s *SampleSnapshot) Mean() float64 { return SampleMean(s.values) }
// Min returns the minimal value at the time the snapshot was taken.
func (s *SampleSnapshot) Min() int64 { return SampleMin(s.values) }
// Percentile returns an arbitrary percentile of values at the time the
// snapshot was taken.
func (s *SampleSnapshot) Percentile(p float64) float64 {
return SamplePercentile(s.values, p)
}
// Percentiles returns a slice of arbitrary percentiles of values at the time
// the snapshot was taken.
func (s *SampleSnapshot) Percentiles(ps []float64) []float64 {
return SamplePercentiles(s.values, ps)
}
// Size returns the size of the sample at the time the snapshot was taken.
func (s *SampleSnapshot) Size() int { return len(s.values) }
// Snapshot returns the snapshot.
func (s *SampleSnapshot) Snapshot() Sample { return s }
// StdDev returns the standard deviation of values at the time the snapshot was
// taken.
func (s *SampleSnapshot) StdDev() float64 { return SampleStdDev(s.values) }
// Sum returns the sum of values at the time the snapshot was taken.
func (s *SampleSnapshot) Sum() int64 { return SampleSum(s.values) }
// Update panics.
func (*SampleSnapshot) Update(int64) {
panic("Update called on a SampleSnapshot")
}
// Values returns a copy of the values in the sample.
func (s *SampleSnapshot) Values() []int64 {
values := make([]int64, len(s.values))
copy(values, s.values)
return values
}
// Variance returns the variance of values at the time the snapshot was taken.
func (s *SampleSnapshot) Variance() float64 { return SampleVariance(s.values) }
// SampleStdDev returns the standard deviation of the slice of int64.
func SampleStdDev(values []int64) float64 {
return math.Sqrt(SampleVariance(values))
}
// SampleSum returns the sum of the slice of int64.
func SampleSum(values []int64) int64 {
var sum int64
for _, v := range values {
sum += v
}
return sum
}
// SampleVariance returns the variance of the slice of int64.
func SampleVariance(values []int64) float64 {
if 0 == len(values) {
return 0.0
}
m := SampleMean(values)
var sum float64
for _, v := range values {
d := float64(v) - m
sum += d * d
}
return sum / float64(len(values))
}
// A uniform sample using Vitter's Algorithm R.
//
// <http://www.cs.umd.edu/~samir/498/vitter.pdf>
type UniformSample struct {
count int64
mutex sync.Mutex
reservoirSize int
values []int64
}
// NewUniformSample constructs a new uniform sample with the given reservoir
// size.
func NewUniformSample(reservoirSize int) Sample {
if UseNilMetrics {
return NilSample{}
}
return &UniformSample{
reservoirSize: reservoirSize,
values: make([]int64, 0, reservoirSize),
}
}
// Clear clears all samples.
func (s *UniformSample) Clear() {
s.mutex.Lock()
defer s.mutex.Unlock()
s.count = 0
s.values = make([]int64, 0, s.reservoirSize)
}
// Count returns the number of samples recorded, which may exceed the
// reservoir size.
func (s *UniformSample) Count() int64 {
s.mutex.Lock()
defer s.mutex.Unlock()
return s.count
}
// Max returns the maximum value in the sample, which may not be the maximum
// value ever to be part of the sample.
func (s *UniformSample) Max() int64 {
s.mutex.Lock()
defer s.mutex.Unlock()
return SampleMax(s.values)
}
// Mean returns the mean of the values in the sample.
func (s *UniformSample) Mean() float64 {
s.mutex.Lock()
defer s.mutex.Unlock()
return SampleMean(s.values)
}
// Min returns the minimum value in the sample, which may not be the minimum
// value ever to be part of the sample.
func (s *UniformSample) Min() int64 {
s.mutex.Lock()
defer s.mutex.Unlock()
return SampleMin(s.values)
}
// Percentile returns an arbitrary percentile of values in the sample.
func (s *UniformSample) Percentile(p float64) float64 {
s.mutex.Lock()
defer s.mutex.Unlock()
return SamplePercentile(s.values, p)
}
// Percentiles returns a slice of arbitrary percentiles of values in the
// sample.
func (s *UniformSample) Percentiles(ps []float64) []float64 {
s.mutex.Lock()
defer s.mutex.Unlock()
return SamplePercentiles(s.values, ps)
}
// Size returns the size of the sample, which is at most the reservoir size.
func (s *UniformSample) Size() int {
s.mutex.Lock()
defer s.mutex.Unlock()
return len(s.values)
}
// Snapshot returns a read-only copy of the sample.
func (s *UniformSample) Snapshot() Sample {
s.mutex.Lock()
defer s.mutex.Unlock()
values := make([]int64, len(s.values))
copy(values, s.values)
return &SampleSnapshot{
count: s.count,
values: values,
}
}
// StdDev returns the standard deviation of the values in the sample.
func (s *UniformSample) StdDev() float64 {
s.mutex.Lock()
defer s.mutex.Unlock()
return SampleStdDev(s.values)
}
// Sum returns the sum of the values in the sample.
func (s *UniformSample) Sum() int64 {
s.mutex.Lock()
defer s.mutex.Unlock()
return SampleSum(s.values)
}
// Update samples a new value.
func (s *UniformSample) Update(v int64) {
s.mutex.Lock()
defer s.mutex.Unlock()
s.count++
if len(s.values) < s.reservoirSize {
s.values = append(s.values, v)
} else {
r := rand.Int63n(s.count)
if r < int64(len(s.values)) {
s.values[int(r)] = v
}
}
}
// Values returns a copy of the values in the sample.
func (s *UniformSample) Values() []int64 {
s.mutex.Lock()
defer s.mutex.Unlock()
values := make([]int64, len(s.values))
copy(values, s.values)
return values
}
// Variance returns the variance of the values in the sample.
func (s *UniformSample) Variance() float64 {
s.mutex.Lock()
defer s.mutex.Unlock()
return SampleVariance(s.values)
}
// expDecaySample represents an individual sample in a heap.
type expDecaySample struct {
k float64
v int64
}
func newExpDecaySampleHeap(reservoirSize int) *expDecaySampleHeap {
return &expDecaySampleHeap{make([]expDecaySample, 0, reservoirSize)}
}
// expDecaySampleHeap is a min-heap of expDecaySamples.
// The internal implementation is copied from the standard library's container/heap
type expDecaySampleHeap struct {
s []expDecaySample
}
func (h *expDecaySampleHeap) Clear() {
h.s = h.s[:0]
}
func (h *expDecaySampleHeap) Push(s expDecaySample) {
n := len(h.s)
h.s = h.s[0 : n+1]
h.s[n] = s
h.up(n)
}
func (h *expDecaySampleHeap) Pop() expDecaySample {
n := len(h.s) - 1
h.s[0], h.s[n] = h.s[n], h.s[0]
h.down(0, n)
n = len(h.s)
s := h.s[n-1]
h.s = h.s[0 : n-1]
return s
}
func (h *expDecaySampleHeap) Size() int {
return len(h.s)
}
func (h *expDecaySampleHeap) Values() []expDecaySample {
return h.s
}
func (h *expDecaySampleHeap) up(j int) {
for {
i := (j - 1) / 2 // parent
if i == j || !(h.s[j].k < h.s[i].k) {
break
}
h.s[i], h.s[j] = h.s[j], h.s[i]
j = i
}
}
func (h *expDecaySampleHeap) down(i, n int) {
for {
j1 := 2*i + 1
if j1 >= n || j1 < 0 { // j1 < 0 after int overflow
break
}
j := j1 // left child
if j2 := j1 + 1; j2 < n && !(h.s[j1].k < h.s[j2].k) {
j = j2 // = 2*i + 2 // right child
}
if !(h.s[j].k < h.s[i].k) {
break
}
h.s[i], h.s[j] = h.s[j], h.s[i]
i = j
}
}
type int64Slice []int64
func (p int64Slice) Len() int { return len(p) }
func (p int64Slice) Less(i, j int) bool { return p[i] < p[j] }
func (p int64Slice) Swap(i, j int) { p[i], p[j] = p[j], p[i] }

78
vendor/github.com/rcrowley/go-metrics/syslog.go generated vendored
View File

@ -1,78 +0,0 @@
// +build !windows
package metrics
import (
"fmt"
"log/syslog"
"time"
)
// Output each metric in the given registry to syslog periodically using
// the given syslogger.
func Syslog(r Registry, d time.Duration, w *syslog.Writer) {
for _ = range time.Tick(d) {
r.Each(func(name string, i interface{}) {
switch metric := i.(type) {
case Counter:
w.Info(fmt.Sprintf("counter %s: count: %d", name, metric.Count()))
case Gauge:
w.Info(fmt.Sprintf("gauge %s: value: %d", name, metric.Value()))
case GaugeFloat64:
w.Info(fmt.Sprintf("gauge %s: value: %f", name, metric.Value()))
case Healthcheck:
metric.Check()
w.Info(fmt.Sprintf("healthcheck %s: error: %v", name, metric.Error()))
case Histogram:
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
w.Info(fmt.Sprintf(
"histogram %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f",
name,
h.Count(),
h.Min(),
h.Max(),
h.Mean(),
h.StdDev(),
ps[0],
ps[1],
ps[2],
ps[3],
ps[4],
))
case Meter:
m := metric.Snapshot()
w.Info(fmt.Sprintf(
"meter %s: count: %d 1-min: %.2f 5-min: %.2f 15-min: %.2f mean: %.2f",
name,
m.Count(),
m.Rate1(),
m.Rate5(),
m.Rate15(),
m.RateMean(),
))
case Timer:
t := metric.Snapshot()
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
w.Info(fmt.Sprintf(
"timer %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f 1-min: %.2f 5-min: %.2f 15-min: %.2f mean-rate: %.2f",
name,
t.Count(),
t.Min(),
t.Max(),
t.Mean(),
t.StdDev(),
ps[0],
ps[1],
ps[2],
ps[3],
ps[4],
t.Rate1(),
t.Rate5(),
t.Rate15(),
t.RateMean(),
))
}
})
}
}

311
vendor/github.com/rcrowley/go-metrics/timer.go generated vendored
View File

@ -1,311 +0,0 @@
package metrics
import (
"sync"
"time"
)
// Timers capture the duration and rate of events.
type Timer interface {
Count() int64
Max() int64
Mean() float64
Min() int64
Percentile(float64) float64
Percentiles([]float64) []float64
Rate1() float64
Rate5() float64
Rate15() float64
RateMean() float64
Snapshot() Timer
StdDev() float64
Sum() int64
Time(func())
Update(time.Duration)
UpdateSince(time.Time)
Variance() float64
}
// GetOrRegisterTimer returns an existing Timer or constructs and registers a
// new StandardTimer.
func GetOrRegisterTimer(name string, r Registry) Timer {
if nil == r {
r = DefaultRegistry
}
return r.GetOrRegister(name, NewTimer).(Timer)
}
// NewCustomTimer constructs a new StandardTimer from a Histogram and a Meter.
func NewCustomTimer(h Histogram, m Meter) Timer {
if UseNilMetrics {
return NilTimer{}
}
return &StandardTimer{
histogram: h,
meter: m,
}
}
// NewRegisteredTimer constructs and registers a new StandardTimer.
func NewRegisteredTimer(name string, r Registry) Timer {
c := NewTimer()
if nil == r {
r = DefaultRegistry
}
r.Register(name, c)
return c
}
// NewTimer constructs a new StandardTimer using an exponentially-decaying
// sample with the same reservoir size and alpha as UNIX load averages.
func NewTimer() Timer {
if UseNilMetrics {
return NilTimer{}
}
return &StandardTimer{
histogram: NewHistogram(NewExpDecaySample(1028, 0.015)),
meter: NewMeter(),
}
}
// NilTimer is a no-op Timer.
type NilTimer struct {
h Histogram
m Meter
}
// Count is a no-op.
func (NilTimer) Count() int64 { return 0 }
// Max is a no-op.
func (NilTimer) Max() int64 { return 0 }
// Mean is a no-op.
func (NilTimer) Mean() float64 { return 0.0 }
// Min is a no-op.
func (NilTimer) Min() int64 { return 0 }
// Percentile is a no-op.
func (NilTimer) Percentile(p float64) float64 { return 0.0 }
// Percentiles is a no-op.
func (NilTimer) Percentiles(ps []float64) []float64 {
return make([]float64, len(ps))
}
// Rate1 is a no-op.
func (NilTimer) Rate1() float64 { return 0.0 }
// Rate5 is a no-op.
func (NilTimer) Rate5() float64 { return 0.0 }
// Rate15 is a no-op.
func (NilTimer) Rate15() float64 { return 0.0 }
// RateMean is a no-op.
func (NilTimer) RateMean() float64 { return 0.0 }
// Snapshot is a no-op.
func (NilTimer) Snapshot() Timer { return NilTimer{} }
// StdDev is a no-op.
func (NilTimer) StdDev() float64 { return 0.0 }
// Sum is a no-op.
func (NilTimer) Sum() int64 { return 0 }
// Time is a no-op.
func (NilTimer) Time(func()) {}
// Update is a no-op.
func (NilTimer) Update(time.Duration) {}
// UpdateSince is a no-op.
func (NilTimer) UpdateSince(time.Time) {}
// Variance is a no-op.
func (NilTimer) Variance() float64 { return 0.0 }
// StandardTimer is the standard implementation of a Timer and uses a Histogram
// and Meter.
type StandardTimer struct {
histogram Histogram
meter Meter
mutex sync.Mutex
}
// Count returns the number of events recorded.
func (t *StandardTimer) Count() int64 {
return t.histogram.Count()
}
// Max returns the maximum value in the sample.
func (t *StandardTimer) Max() int64 {
return t.histogram.Max()
}
// Mean returns the mean of the values in the sample.
func (t *StandardTimer) Mean() float64 {
return t.histogram.Mean()
}
// Min returns the minimum value in the sample.
func (t *StandardTimer) Min() int64 {
return t.histogram.Min()
}
// Percentile returns an arbitrary percentile of the values in the sample.
func (t *StandardTimer) Percentile(p float64) float64 {
return t.histogram.Percentile(p)
}
// Percentiles returns a slice of arbitrary percentiles of the values in the
// sample.
func (t *StandardTimer) Percentiles(ps []float64) []float64 {
return t.histogram.Percentiles(ps)
}
// Rate1 returns the one-minute moving average rate of events per second.
func (t *StandardTimer) Rate1() float64 {
return t.meter.Rate1()
}
// Rate5 returns the five-minute moving average rate of events per second.
func (t *StandardTimer) Rate5() float64 {
return t.meter.Rate5()
}
// Rate15 returns the fifteen-minute moving average rate of events per second.
func (t *StandardTimer) Rate15() float64 {
return t.meter.Rate15()
}
// RateMean returns the meter's mean rate of events per second.
func (t *StandardTimer) RateMean() float64 {
return t.meter.RateMean()
}
// Snapshot returns a read-only copy of the timer.
func (t *StandardTimer) Snapshot() Timer {
t.mutex.Lock()
defer t.mutex.Unlock()
return &TimerSnapshot{
histogram: t.histogram.Snapshot().(*HistogramSnapshot),
meter: t.meter.Snapshot().(*MeterSnapshot),
}
}
// StdDev returns the standard deviation of the values in the sample.
func (t *StandardTimer) StdDev() float64 {
return t.histogram.StdDev()
}
// Sum returns the sum in the sample.
func (t *StandardTimer) Sum() int64 {
return t.histogram.Sum()
}
// Record the duration of the execution of the given function.
func (t *StandardTimer) Time(f func()) {
ts := time.Now()
f()
t.Update(time.Since(ts))
}
// Record the duration of an event.
func (t *StandardTimer) Update(d time.Duration) {
t.mutex.Lock()
defer t.mutex.Unlock()
t.histogram.Update(int64(d))
t.meter.Mark(1)
}
// Record the duration of an event that started at a time and ends now.
func (t *StandardTimer) UpdateSince(ts time.Time) {
t.mutex.Lock()
defer t.mutex.Unlock()
t.histogram.Update(int64(time.Since(ts)))
t.meter.Mark(1)
}
// Variance returns the variance of the values in the sample.
func (t *StandardTimer) Variance() float64 {
return t.histogram.Variance()
}
// TimerSnapshot is a read-only copy of another Timer.
type TimerSnapshot struct {
histogram *HistogramSnapshot
meter *MeterSnapshot
}
// Count returns the number of events recorded at the time the snapshot was
// taken.
func (t *TimerSnapshot) Count() int64 { return t.histogram.Count() }
// Max returns the maximum value at the time the snapshot was taken.
func (t *TimerSnapshot) Max() int64 { return t.histogram.Max() }
// Mean returns the mean value at the time the snapshot was taken.
func (t *TimerSnapshot) Mean() float64 { return t.histogram.Mean() }
// Min returns the minimum value at the time the snapshot was taken.
func (t *TimerSnapshot) Min() int64 { return t.histogram.Min() }
// Percentile returns an arbitrary percentile of sampled values at the time the
// snapshot was taken.
func (t *TimerSnapshot) Percentile(p float64) float64 {
return t.histogram.Percentile(p)
}
// Percentiles returns a slice of arbitrary percentiles of sampled values at
// the time the snapshot was taken.
func (t *TimerSnapshot) Percentiles(ps []float64) []float64 {
return t.histogram.Percentiles(ps)
}
// Rate1 returns the one-minute moving average rate of events per second at the
// time the snapshot was taken.
func (t *TimerSnapshot) Rate1() float64 { return t.meter.Rate1() }
// Rate5 returns the five-minute moving average rate of events per second at
// the time the snapshot was taken.
func (t *TimerSnapshot) Rate5() float64 { return t.meter.Rate5() }
// Rate15 returns the fifteen-minute moving average rate of events per second
// at the time the snapshot was taken.
func (t *TimerSnapshot) Rate15() float64 { return t.meter.Rate15() }
// RateMean returns the meter's mean rate of events per second at the time the
// snapshot was taken.
func (t *TimerSnapshot) RateMean() float64 { return t.meter.RateMean() }
// Snapshot returns the snapshot.
func (t *TimerSnapshot) Snapshot() Timer { return t }
// StdDev returns the standard deviation of the values at the time the snapshot
// was taken.
func (t *TimerSnapshot) StdDev() float64 { return t.histogram.StdDev() }
// Sum returns the sum at the time the snapshot was taken.
func (t *TimerSnapshot) Sum() int64 { return t.histogram.Sum() }
// Time panics.
func (*TimerSnapshot) Time(func()) {
panic("Time called on a TimerSnapshot")
}
// Update panics.
func (*TimerSnapshot) Update(time.Duration) {
panic("Update called on a TimerSnapshot")
}
// UpdateSince panics.
func (*TimerSnapshot) UpdateSince(time.Time) {
panic("UpdateSince called on a TimerSnapshot")
}
// Variance returns the variance of the values at the time the snapshot was
// taken.
func (t *TimerSnapshot) Variance() float64 { return t.histogram.Variance() }

10
vendor/github.com/rcrowley/go-metrics/validate.sh generated vendored
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@ -1,10 +0,0 @@
#!/bin/bash
set -e
# check there are no formatting issues
GOFMT_LINES=`gofmt -l . | wc -l | xargs`
test $GOFMT_LINES -eq 0 || echo "gofmt needs to be run, ${GOFMT_LINES} files have issues"
# run the tests for the root package
go test .

100
vendor/github.com/rcrowley/go-metrics/writer.go generated vendored
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@ -1,100 +0,0 @@
package metrics
import (
"fmt"
"io"
"sort"
"time"
)
// Write sorts writes each metric in the given registry periodically to the
// given io.Writer.
func Write(r Registry, d time.Duration, w io.Writer) {
for _ = range time.Tick(d) {
WriteOnce(r, w)
}
}
// WriteOnce sorts and writes metrics in the given registry to the given
// io.Writer.
func WriteOnce(r Registry, w io.Writer) {
var namedMetrics namedMetricSlice
r.Each(func(name string, i interface{}) {
namedMetrics = append(namedMetrics, namedMetric{name, i})
})
sort.Sort(namedMetrics)
for _, namedMetric := range namedMetrics {
switch metric := namedMetric.m.(type) {
case Counter:
fmt.Fprintf(w, "counter %s\n", namedMetric.name)
fmt.Fprintf(w, " count: %9d\n", metric.Count())
case Gauge:
fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
fmt.Fprintf(w, " value: %9d\n", metric.Value())
case GaugeFloat64:
fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
fmt.Fprintf(w, " value: %f\n", metric.Value())
case Healthcheck:
metric.Check()
fmt.Fprintf(w, "healthcheck %s\n", namedMetric.name)
fmt.Fprintf(w, " error: %v\n", metric.Error())
case Histogram:
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
fmt.Fprintf(w, "histogram %s\n", namedMetric.name)
fmt.Fprintf(w, " count: %9d\n", h.Count())
fmt.Fprintf(w, " min: %9d\n", h.Min())
fmt.Fprintf(w, " max: %9d\n", h.Max())
fmt.Fprintf(w, " mean: %12.2f\n", h.Mean())
fmt.Fprintf(w, " stddev: %12.2f\n", h.StdDev())
fmt.Fprintf(w, " median: %12.2f\n", ps[0])
fmt.Fprintf(w, " 75%%: %12.2f\n", ps[1])
fmt.Fprintf(w, " 95%%: %12.2f\n", ps[2])
fmt.Fprintf(w, " 99%%: %12.2f\n", ps[3])
fmt.Fprintf(w, " 99.9%%: %12.2f\n", ps[4])
case Meter:
m := metric.Snapshot()
fmt.Fprintf(w, "meter %s\n", namedMetric.name)
fmt.Fprintf(w, " count: %9d\n", m.Count())
fmt.Fprintf(w, " 1-min rate: %12.2f\n", m.Rate1())
fmt.Fprintf(w, " 5-min rate: %12.2f\n", m.Rate5())
fmt.Fprintf(w, " 15-min rate: %12.2f\n", m.Rate15())
fmt.Fprintf(w, " mean rate: %12.2f\n", m.RateMean())
case Timer:
t := metric.Snapshot()
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
fmt.Fprintf(w, "timer %s\n", namedMetric.name)
fmt.Fprintf(w, " count: %9d\n", t.Count())
fmt.Fprintf(w, " min: %9d\n", t.Min())
fmt.Fprintf(w, " max: %9d\n", t.Max())
fmt.Fprintf(w, " mean: %12.2f\n", t.Mean())
fmt.Fprintf(w, " stddev: %12.2f\n", t.StdDev())
fmt.Fprintf(w, " median: %12.2f\n", ps[0])
fmt.Fprintf(w, " 75%%: %12.2f\n", ps[1])
fmt.Fprintf(w, " 95%%: %12.2f\n", ps[2])
fmt.Fprintf(w, " 99%%: %12.2f\n", ps[3])
fmt.Fprintf(w, " 99.9%%: %12.2f\n", ps[4])
fmt.Fprintf(w, " 1-min rate: %12.2f\n", t.Rate1())
fmt.Fprintf(w, " 5-min rate: %12.2f\n", t.Rate5())
fmt.Fprintf(w, " 15-min rate: %12.2f\n", t.Rate15())
fmt.Fprintf(w, " mean rate: %12.2f\n", t.RateMean())
}
}
}
type namedMetric struct {
name string
m interface{}
}
// namedMetricSlice is a slice of namedMetrics that implements sort.Interface.
type namedMetricSlice []namedMetric
func (nms namedMetricSlice) Len() int { return len(nms) }
func (nms namedMetricSlice) Swap(i, j int) { nms[i], nms[j] = nms[j], nms[i] }
func (nms namedMetricSlice) Less(i, j int) bool {
return nms[i].name < nms[j].name
}