build: move e2e dependencies into e2e/go.mod

Several packages are only used while running the e2e suite. These
packages are less important to update, as the they can not influence the
final executable that is part of the Ceph-CSI container-image.

By moving these dependencies out of the main Ceph-CSI go.mod, it is
easier to identify if a reported CVE affects Ceph-CSI, or only the
testing (like most of the Kubernetes CVEs).

Signed-off-by: Niels de Vos <ndevos@ibm.com>
This commit is contained in:
Niels de Vos
2025-03-04 08:57:28 +01:00
committed by mergify[bot]
parent 15da101b1b
commit bec6090996
8047 changed files with 1407827 additions and 3453 deletions

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#vendor
vendor/
# Created by .ignore support plugin (hsz.mobi)
coverage.txt
### Go template
# Compiled Object files, Static and Dynamic libs (Shared Objects)
*.o
*.a
*.so
# Folders
_obj
_test
# Architecture specific extensions/prefixes
*.[568vq]
[568vq].out
*.cgo1.go
*.cgo2.c
_cgo_defun.c
_cgo_gotypes.go
_cgo_export.*
_testmain.go
*.exe
*.test
*.prof
### Windows template
# Windows image file caches
Thumbs.db
ehthumbs.db
# Folder config file
Desktop.ini
# Recycle Bin used on file shares
$RECYCLE.BIN/
# Windows Installer files
*.cab
*.msi
*.msm
*.msp
# Windows shortcuts
*.lnk
### Kate template
# Swap Files #
.*.kate-swp
.swp.*
### SublimeText template
# cache files for sublime text
*.tmlanguage.cache
*.tmPreferences.cache
*.stTheme.cache
# workspace files are user-specific
*.sublime-workspace
# project files should be checked into the repository, unless a significant
# proportion of contributors will probably not be using SublimeText
# *.sublime-project
# sftp configuration file
sftp-config.json
### Linux template
*~
# temporary files which can be created if a process still has a handle open of a deleted file
.fuse_hidden*
# KDE directory preferences
.directory
# Linux trash folder which might appear on any partition or disk
.Trash-*
### JetBrains template
# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio and Webstorm
# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
# User-specific stuff:
.idea
.idea/tasks.xml
.idea/dictionaries
.idea/vcs.xml
.idea/jsLibraryMappings.xml
# Sensitive or high-churn files:
.idea/dataSources.ids
.idea/dataSources.xml
.idea/dataSources.local.xml
.idea/sqlDataSources.xml
.idea/dynamic.xml
.idea/uiDesigner.xml
# Gradle:
.idea/gradle.xml
.idea/libraries
# Mongo Explorer plugin:
.idea/mongoSettings.xml
## File-based project format:
*.iws
## Plugin-specific files:
# IntelliJ
/out/
# mpeltonen/sbt-idea plugin
.idea_modules/
# JIRA plugin
atlassian-ide-plugin.xml
# Crashlytics plugin (for Android Studio and IntelliJ)
com_crashlytics_export_strings.xml
crashlytics.properties
crashlytics-build.properties
fabric.properties
### Xcode template
# Xcode
#
# gitignore contributors: remember to update Global/Xcode.gitignore, Objective-C.gitignore & Swift.gitignore
## Build generated
build/
DerivedData/
## Various settings
*.pbxuser
!default.pbxuser
*.mode1v3
!default.mode1v3
*.mode2v3
!default.mode2v3
*.perspectivev3
!default.perspectivev3
xcuserdata/
## Other
*.moved-aside
*.xccheckout
*.xcscmblueprint
### Eclipse template
.metadata
bin/
tmp/
*.tmp
*.bak
*.swp
*~.nib
local.properties
.settings/
.loadpath
.recommenders
# Eclipse Core
.project
# External tool builders
.externalToolBuilders/
# Locally stored "Eclipse launch configurations"
*.launch
# PyDev specific (Python IDE for Eclipse)
*.pydevproject
# CDT-specific (C/C++ Development Tooling)
.cproject
# JDT-specific (Eclipse Java Development Tools)
.classpath
# Java annotation processor (APT)
.factorypath
# PDT-specific (PHP Development Tools)
.buildpath
# sbteclipse plugin
.target
# Tern plugin
.tern-project
# TeXlipse plugin
.texlipse
# STS (Spring Tool Suite)
.springBeans
# Code Recommenders
.recommenders/

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sudo: false
language: go
# * github.com/grpc/grpc-go still supports go1.6
# - When we drop support for go1.6 we can remove golang.org/x/net/context
# below as it is part of the Go std library since go1.7
# * github.com/prometheus/client_golang already requires at least go1.7 since
# September 2017
go:
- 1.6.x
- 1.7.x
- 1.8.x
- 1.9.x
- 1.10.x
- master
install:
- go get github.com/prometheus/client_golang/prometheus
- go get google.golang.org/grpc
- go get golang.org/x/net/context
- go get github.com/stretchr/testify
script:
- make test
after_success:
- bash <(curl -s https://codecov.io/bash)

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# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/)
and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
## [Unreleased]
## [1.2.0](https://github.com/grpc-ecosystem/go-grpc-prometheus/releases/tag/v1.2.0) - 2018-06-04
### Added
* Provide metrics object as `prometheus.Collector`, for conventional metric registration.
* Support non-default/global Prometheus registry.
* Allow configuring counters with `prometheus.CounterOpts`.
### Changed
* Remove usage of deprecated `grpc.Code()`.
* Remove usage of deprecated `grpc.Errorf` and replace with `status.Errorf`.
---
This changelog was started with version `v1.2.0`, for earlier versions refer to the respective [GitHub releases](https://github.com/grpc-ecosystem/go-grpc-prometheus/releases).

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# Go gRPC Interceptors for Prometheus monitoring
[![Travis Build](https://travis-ci.org/grpc-ecosystem/go-grpc-prometheus.svg)](https://travis-ci.org/grpc-ecosystem/go-grpc-prometheus)
[![Go Report Card](https://goreportcard.com/badge/github.com/grpc-ecosystem/go-grpc-prometheus)](http://goreportcard.com/report/grpc-ecosystem/go-grpc-prometheus)
[![GoDoc](http://img.shields.io/badge/GoDoc-Reference-blue.svg)](https://godoc.org/github.com/grpc-ecosystem/go-grpc-prometheus)
[![SourceGraph](https://sourcegraph.com/github.com/grpc-ecosystem/go-grpc-prometheus/-/badge.svg)](https://sourcegraph.com/github.com/grpc-ecosystem/go-grpc-prometheus/?badge)
[![codecov](https://codecov.io/gh/grpc-ecosystem/go-grpc-prometheus/branch/master/graph/badge.svg)](https://codecov.io/gh/grpc-ecosystem/go-grpc-prometheus)
[![Apache 2.0 License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE)
[Prometheus](https://prometheus.io/) monitoring for your [gRPC Go](https://github.com/grpc/grpc-go) servers and clients.
A sister implementation for [gRPC Java](https://github.com/grpc/grpc-java) (same metrics, same semantics) is in [grpc-ecosystem/java-grpc-prometheus](https://github.com/grpc-ecosystem/java-grpc-prometheus).
## Interceptors
[gRPC Go](https://github.com/grpc/grpc-go) recently acquired support for Interceptors, i.e. middleware that is executed
by a gRPC Server before the request is passed onto the user's application logic. It is a perfect way to implement
common patterns: auth, logging and... monitoring.
To use Interceptors in chains, please see [`go-grpc-middleware`](https://github.com/mwitkow/go-grpc-middleware).
## Usage
There are two types of interceptors: client-side and server-side. This package provides monitoring Interceptors for both.
### Server-side
```go
import "github.com/grpc-ecosystem/go-grpc-prometheus"
...
// Initialize your gRPC server's interceptor.
myServer := grpc.NewServer(
grpc.StreamInterceptor(grpc_prometheus.StreamServerInterceptor),
grpc.UnaryInterceptor(grpc_prometheus.UnaryServerInterceptor),
)
// Register your gRPC service implementations.
myservice.RegisterMyServiceServer(s.server, &myServiceImpl{})
// After all your registrations, make sure all of the Prometheus metrics are initialized.
grpc_prometheus.Register(myServer)
// Register Prometheus metrics handler.
http.Handle("/metrics", promhttp.Handler())
...
```
### Client-side
```go
import "github.com/grpc-ecosystem/go-grpc-prometheus"
...
clientConn, err = grpc.Dial(
address,
grpc.WithUnaryInterceptor(grpc_prometheus.UnaryClientInterceptor),
grpc.WithStreamInterceptor(grpc_prometheus.StreamClientInterceptor)
)
client = pb_testproto.NewTestServiceClient(clientConn)
resp, err := client.PingEmpty(s.ctx, &myservice.Request{Msg: "hello"})
...
```
# Metrics
## Labels
All server-side metrics start with `grpc_server` as Prometheus subsystem name. All client-side metrics start with `grpc_client`. Both of them have mirror-concepts. Similarly all methods
contain the same rich labels:
* `grpc_service` - the [gRPC service](http://www.grpc.io/docs/#defining-a-service) name, which is the combination of protobuf `package` and
the `grpc_service` section name. E.g. for `package = mwitkow.testproto` and
`service TestService` the label will be `grpc_service="mwitkow.testproto.TestService"`
* `grpc_method` - the name of the method called on the gRPC service. E.g.
`grpc_method="Ping"`
* `grpc_type` - the gRPC [type of request](http://www.grpc.io/docs/guides/concepts.html#rpc-life-cycle).
Differentiating between the two is important especially for latency measurements.
- `unary` is single request, single response RPC
- `client_stream` is a multi-request, single response RPC
- `server_stream` is a single request, multi-response RPC
- `bidi_stream` is a multi-request, multi-response RPC
Additionally for completed RPCs, the following labels are used:
* `grpc_code` - the human-readable [gRPC status code](https://github.com/grpc/grpc-go/blob/master/codes/codes.go).
The list of all statuses is to long, but here are some common ones:
- `OK` - means the RPC was successful
- `IllegalArgument` - RPC contained bad values
- `Internal` - server-side error not disclosed to the clients
## Counters
The counters and their up to date documentation is in [server_reporter.go](server_reporter.go) and [client_reporter.go](client_reporter.go)
the respective Prometheus handler (usually `/metrics`).
For the purpose of this documentation we will only discuss `grpc_server` metrics. The `grpc_client` ones contain mirror concepts.
For simplicity, let's assume we're tracking a single server-side RPC call of [`mwitkow.testproto.TestService`](examples/testproto/test.proto),
calling the method `PingList`. The call succeeds and returns 20 messages in the stream.
First, immediately after the server receives the call it will increment the
`grpc_server_started_total` and start the handling time clock (if histograms are enabled).
```jsoniq
grpc_server_started_total{grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 1
```
Then the user logic gets invoked. It receives one message from the client containing the request
(it's a `server_stream`):
```jsoniq
grpc_server_msg_received_total{grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 1
```
The user logic may return an error, or send multiple messages back to the client. In this case, on
each of the 20 messages sent back, a counter will be incremented:
```jsoniq
grpc_server_msg_sent_total{grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 20
```
After the call completes, its status (`OK` or other [gRPC status code](https://github.com/grpc/grpc-go/blob/master/codes/codes.go))
and the relevant call labels increment the `grpc_server_handled_total` counter.
```jsoniq
grpc_server_handled_total{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 1
```
## Histograms
[Prometheus histograms](https://prometheus.io/docs/concepts/metric_types/#histogram) are a great way
to measure latency distributions of your RPCs. However, since it is bad practice to have metrics
of [high cardinality](https://prometheus.io/docs/practices/instrumentation/#do-not-overuse-labels)
the latency monitoring metrics are disabled by default. To enable them please call the following
in your server initialization code:
```jsoniq
grpc_prometheus.EnableHandlingTimeHistogram()
```
After the call completes, its handling time will be recorded in a [Prometheus histogram](https://prometheus.io/docs/concepts/metric_types/#histogram)
variable `grpc_server_handling_seconds`. The histogram variable contains three sub-metrics:
* `grpc_server_handling_seconds_count` - the count of all completed RPCs by status and method
* `grpc_server_handling_seconds_sum` - cumulative time of RPCs by status and method, useful for
calculating average handling times
* `grpc_server_handling_seconds_bucket` - contains the counts of RPCs by status and method in respective
handling-time buckets. These buckets can be used by Prometheus to estimate SLAs (see [here](https://prometheus.io/docs/practices/histograms/))
The counter values will look as follows:
```jsoniq
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.005"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.01"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.025"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.05"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.1"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.25"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="0.5"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="1"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="2.5"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="5"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="10"} 1
grpc_server_handling_seconds_bucket{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream",le="+Inf"} 1
grpc_server_handling_seconds_sum{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 0.0003866430000000001
grpc_server_handling_seconds_count{grpc_code="OK",grpc_method="PingList",grpc_service="mwitkow.testproto.TestService",grpc_type="server_stream"} 1
```
## Useful query examples
Prometheus philosophy is to provide raw metrics to the monitoring system, and
let the aggregations be handled there. The verbosity of above metrics make it possible to have that
flexibility. Here's a couple of useful monitoring queries:
### request inbound rate
```jsoniq
sum(rate(grpc_server_started_total{job="foo"}[1m])) by (grpc_service)
```
For `job="foo"` (common label to differentiate between Prometheus monitoring targets), calculate the
rate of requests per second (1 minute window) for each gRPC `grpc_service` that the job has. Please note
how the `grpc_method` is being omitted here: all methods of a given gRPC service will be summed together.
### unary request error rate
```jsoniq
sum(rate(grpc_server_handled_total{job="foo",grpc_type="unary",grpc_code!="OK"}[1m])) by (grpc_service)
```
For `job="foo"`, calculate the per-`grpc_service` rate of `unary` (1:1) RPCs that failed, i.e. the
ones that didn't finish with `OK` code.
### unary request error percentage
```jsoniq
sum(rate(grpc_server_handled_total{job="foo",grpc_type="unary",grpc_code!="OK"}[1m])) by (grpc_service)
/
sum(rate(grpc_server_started_total{job="foo",grpc_type="unary"}[1m])) by (grpc_service)
* 100.0
```
For `job="foo"`, calculate the percentage of failed requests by service. It's easy to notice that
this is a combination of the two above examples. This is an example of a query you would like to
[alert on](https://prometheus.io/docs/alerting/rules/) in your system for SLA violations, e.g.
"no more than 1% requests should fail".
### average response stream size
```jsoniq
sum(rate(grpc_server_msg_sent_total{job="foo",grpc_type="server_stream"}[10m])) by (grpc_service)
/
sum(rate(grpc_server_started_total{job="foo",grpc_type="server_stream"}[10m])) by (grpc_service)
```
For `job="foo"` what is the `grpc_service`-wide `10m` average of messages returned for all `
server_stream` RPCs. This allows you to track the stream sizes returned by your system, e.g. allows
you to track when clients started to send "wide" queries that ret
Note the divisor is the number of started RPCs, in order to account for in-flight requests.
### 99%-tile latency of unary requests
```jsoniq
histogram_quantile(0.99,
sum(rate(grpc_server_handling_seconds_bucket{job="foo",grpc_type="unary"}[5m])) by (grpc_service,le)
)
```
For `job="foo"`, returns an 99%-tile [quantile estimation](https://prometheus.io/docs/practices/histograms/#quantiles)
of the handling time of RPCs per service. Please note the `5m` rate, this means that the quantile
estimation will take samples in a rolling `5m` window. When combined with other quantiles
(e.g. 50%, 90%), this query gives you tremendous insight into the responsiveness of your system
(e.g. impact of caching).
### percentage of slow unary queries (>250ms)
```jsoniq
100.0 - (
sum(rate(grpc_server_handling_seconds_bucket{job="foo",grpc_type="unary",le="0.25"}[5m])) by (grpc_service)
/
sum(rate(grpc_server_handling_seconds_count{job="foo",grpc_type="unary"}[5m])) by (grpc_service)
) * 100.0
```
For `job="foo"` calculate the by-`grpc_service` fraction of slow requests that took longer than `0.25`
seconds. This query is relatively complex, since the Prometheus aggregations use `le` (less or equal)
buckets, meaning that counting "fast" requests fractions is easier. However, simple maths helps.
This is an example of a query you would like to alert on in your system for SLA violations,
e.g. "less than 1% of requests are slower than 250ms".
## Status
This code has been used since August 2015 as the basis for monitoring of *production* gRPC micro services at [Improbable](https://improbable.io).
## License
`go-grpc-prometheus` is released under the Apache 2.0 license. See the [LICENSE](LICENSE) file for details.

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// Copyright 2016 Michal Witkowski. All Rights Reserved.
// See LICENSE for licensing terms.
// gRPC Prometheus monitoring interceptors for client-side gRPC.
package grpc_prometheus
import (
prom "github.com/prometheus/client_golang/prometheus"
)
var (
// DefaultClientMetrics is the default instance of ClientMetrics. It is
// intended to be used in conjunction the default Prometheus metrics
// registry.
DefaultClientMetrics = NewClientMetrics()
// UnaryClientInterceptor is a gRPC client-side interceptor that provides Prometheus monitoring for Unary RPCs.
UnaryClientInterceptor = DefaultClientMetrics.UnaryClientInterceptor()
// StreamClientInterceptor is a gRPC client-side interceptor that provides Prometheus monitoring for Streaming RPCs.
StreamClientInterceptor = DefaultClientMetrics.StreamClientInterceptor()
)
func init() {
prom.MustRegister(DefaultClientMetrics.clientStartedCounter)
prom.MustRegister(DefaultClientMetrics.clientHandledCounter)
prom.MustRegister(DefaultClientMetrics.clientStreamMsgReceived)
prom.MustRegister(DefaultClientMetrics.clientStreamMsgSent)
}
// EnableClientHandlingTimeHistogram turns on recording of handling time of
// RPCs. Histogram metrics can be very expensive for Prometheus to retain and
// query. This function acts on the DefaultClientMetrics variable and the
// default Prometheus metrics registry.
func EnableClientHandlingTimeHistogram(opts ...HistogramOption) {
DefaultClientMetrics.EnableClientHandlingTimeHistogram(opts...)
prom.Register(DefaultClientMetrics.clientHandledHistogram)
}

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package grpc_prometheus
import (
"io"
prom "github.com/prometheus/client_golang/prometheus"
"golang.org/x/net/context"
"google.golang.org/grpc"
"google.golang.org/grpc/codes"
"google.golang.org/grpc/status"
)
// ClientMetrics represents a collection of metrics to be registered on a
// Prometheus metrics registry for a gRPC client.
type ClientMetrics struct {
clientStartedCounter *prom.CounterVec
clientHandledCounter *prom.CounterVec
clientStreamMsgReceived *prom.CounterVec
clientStreamMsgSent *prom.CounterVec
clientHandledHistogramEnabled bool
clientHandledHistogramOpts prom.HistogramOpts
clientHandledHistogram *prom.HistogramVec
}
// NewClientMetrics returns a ClientMetrics object. Use a new instance of
// ClientMetrics when not using the default Prometheus metrics registry, for
// example when wanting to control which metrics are added to a registry as
// opposed to automatically adding metrics via init functions.
func NewClientMetrics(counterOpts ...CounterOption) *ClientMetrics {
opts := counterOptions(counterOpts)
return &ClientMetrics{
clientStartedCounter: prom.NewCounterVec(
opts.apply(prom.CounterOpts{
Name: "grpc_client_started_total",
Help: "Total number of RPCs started on the client.",
}), []string{"grpc_type", "grpc_service", "grpc_method"}),
clientHandledCounter: prom.NewCounterVec(
opts.apply(prom.CounterOpts{
Name: "grpc_client_handled_total",
Help: "Total number of RPCs completed by the client, regardless of success or failure.",
}), []string{"grpc_type", "grpc_service", "grpc_method", "grpc_code"}),
clientStreamMsgReceived: prom.NewCounterVec(
opts.apply(prom.CounterOpts{
Name: "grpc_client_msg_received_total",
Help: "Total number of RPC stream messages received by the client.",
}), []string{"grpc_type", "grpc_service", "grpc_method"}),
clientStreamMsgSent: prom.NewCounterVec(
opts.apply(prom.CounterOpts{
Name: "grpc_client_msg_sent_total",
Help: "Total number of gRPC stream messages sent by the client.",
}), []string{"grpc_type", "grpc_service", "grpc_method"}),
clientHandledHistogramEnabled: false,
clientHandledHistogramOpts: prom.HistogramOpts{
Name: "grpc_client_handling_seconds",
Help: "Histogram of response latency (seconds) of the gRPC until it is finished by the application.",
Buckets: prom.DefBuckets,
},
clientHandledHistogram: nil,
}
}
// Describe sends the super-set of all possible descriptors of metrics
// collected by this Collector to the provided channel and returns once
// the last descriptor has been sent.
func (m *ClientMetrics) Describe(ch chan<- *prom.Desc) {
m.clientStartedCounter.Describe(ch)
m.clientHandledCounter.Describe(ch)
m.clientStreamMsgReceived.Describe(ch)
m.clientStreamMsgSent.Describe(ch)
if m.clientHandledHistogramEnabled {
m.clientHandledHistogram.Describe(ch)
}
}
// Collect is called by the Prometheus registry when collecting
// metrics. The implementation sends each collected metric via the
// provided channel and returns once the last metric has been sent.
func (m *ClientMetrics) Collect(ch chan<- prom.Metric) {
m.clientStartedCounter.Collect(ch)
m.clientHandledCounter.Collect(ch)
m.clientStreamMsgReceived.Collect(ch)
m.clientStreamMsgSent.Collect(ch)
if m.clientHandledHistogramEnabled {
m.clientHandledHistogram.Collect(ch)
}
}
// EnableClientHandlingTimeHistogram turns on recording of handling time of RPCs.
// Histogram metrics can be very expensive for Prometheus to retain and query.
func (m *ClientMetrics) EnableClientHandlingTimeHistogram(opts ...HistogramOption) {
for _, o := range opts {
o(&m.clientHandledHistogramOpts)
}
if !m.clientHandledHistogramEnabled {
m.clientHandledHistogram = prom.NewHistogramVec(
m.clientHandledHistogramOpts,
[]string{"grpc_type", "grpc_service", "grpc_method"},
)
}
m.clientHandledHistogramEnabled = true
}
// UnaryClientInterceptor is a gRPC client-side interceptor that provides Prometheus monitoring for Unary RPCs.
func (m *ClientMetrics) UnaryClientInterceptor() func(ctx context.Context, method string, req, reply interface{}, cc *grpc.ClientConn, invoker grpc.UnaryInvoker, opts ...grpc.CallOption) error {
return func(ctx context.Context, method string, req, reply interface{}, cc *grpc.ClientConn, invoker grpc.UnaryInvoker, opts ...grpc.CallOption) error {
monitor := newClientReporter(m, Unary, method)
monitor.SentMessage()
err := invoker(ctx, method, req, reply, cc, opts...)
if err != nil {
monitor.ReceivedMessage()
}
st, _ := status.FromError(err)
monitor.Handled(st.Code())
return err
}
}
// StreamClientInterceptor is a gRPC client-side interceptor that provides Prometheus monitoring for Streaming RPCs.
func (m *ClientMetrics) StreamClientInterceptor() func(ctx context.Context, desc *grpc.StreamDesc, cc *grpc.ClientConn, method string, streamer grpc.Streamer, opts ...grpc.CallOption) (grpc.ClientStream, error) {
return func(ctx context.Context, desc *grpc.StreamDesc, cc *grpc.ClientConn, method string, streamer grpc.Streamer, opts ...grpc.CallOption) (grpc.ClientStream, error) {
monitor := newClientReporter(m, clientStreamType(desc), method)
clientStream, err := streamer(ctx, desc, cc, method, opts...)
if err != nil {
st, _ := status.FromError(err)
monitor.Handled(st.Code())
return nil, err
}
return &monitoredClientStream{clientStream, monitor}, nil
}
}
func clientStreamType(desc *grpc.StreamDesc) grpcType {
if desc.ClientStreams && !desc.ServerStreams {
return ClientStream
} else if !desc.ClientStreams && desc.ServerStreams {
return ServerStream
}
return BidiStream
}
// monitoredClientStream wraps grpc.ClientStream allowing each Sent/Recv of message to increment counters.
type monitoredClientStream struct {
grpc.ClientStream
monitor *clientReporter
}
func (s *monitoredClientStream) SendMsg(m interface{}) error {
err := s.ClientStream.SendMsg(m)
if err == nil {
s.monitor.SentMessage()
}
return err
}
func (s *monitoredClientStream) RecvMsg(m interface{}) error {
err := s.ClientStream.RecvMsg(m)
if err == nil {
s.monitor.ReceivedMessage()
} else if err == io.EOF {
s.monitor.Handled(codes.OK)
} else {
st, _ := status.FromError(err)
s.monitor.Handled(st.Code())
}
return err
}

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// Copyright 2016 Michal Witkowski. All Rights Reserved.
// See LICENSE for licensing terms.
package grpc_prometheus
import (
"time"
"google.golang.org/grpc/codes"
)
type clientReporter struct {
metrics *ClientMetrics
rpcType grpcType
serviceName string
methodName string
startTime time.Time
}
func newClientReporter(m *ClientMetrics, rpcType grpcType, fullMethod string) *clientReporter {
r := &clientReporter{
metrics: m,
rpcType: rpcType,
}
if r.metrics.clientHandledHistogramEnabled {
r.startTime = time.Now()
}
r.serviceName, r.methodName = splitMethodName(fullMethod)
r.metrics.clientStartedCounter.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
return r
}
func (r *clientReporter) ReceivedMessage() {
r.metrics.clientStreamMsgReceived.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
}
func (r *clientReporter) SentMessage() {
r.metrics.clientStreamMsgSent.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
}
func (r *clientReporter) Handled(code codes.Code) {
r.metrics.clientHandledCounter.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName, code.String()).Inc()
if r.metrics.clientHandledHistogramEnabled {
r.metrics.clientHandledHistogram.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Observe(time.Since(r.startTime).Seconds())
}
}

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SHELL="/bin/bash"
GOFILES_NOVENDOR = $(shell go list ./... | grep -v /vendor/)
all: vet fmt test
fmt:
go fmt $(GOFILES_NOVENDOR)
vet:
go vet $(GOFILES_NOVENDOR)
test: vet
./scripts/test_all.sh
.PHONY: all vet test

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package grpc_prometheus
import (
prom "github.com/prometheus/client_golang/prometheus"
)
// A CounterOption lets you add options to Counter metrics using With* funcs.
type CounterOption func(*prom.CounterOpts)
type counterOptions []CounterOption
func (co counterOptions) apply(o prom.CounterOpts) prom.CounterOpts {
for _, f := range co {
f(&o)
}
return o
}
// WithConstLabels allows you to add ConstLabels to Counter metrics.
func WithConstLabels(labels prom.Labels) CounterOption {
return func(o *prom.CounterOpts) {
o.ConstLabels = labels
}
}
// A HistogramOption lets you add options to Histogram metrics using With*
// funcs.
type HistogramOption func(*prom.HistogramOpts)
// WithHistogramBuckets allows you to specify custom bucket ranges for histograms if EnableHandlingTimeHistogram is on.
func WithHistogramBuckets(buckets []float64) HistogramOption {
return func(o *prom.HistogramOpts) { o.Buckets = buckets }
}
// WithHistogramConstLabels allows you to add custom ConstLabels to
// histograms metrics.
func WithHistogramConstLabels(labels prom.Labels) HistogramOption {
return func(o *prom.HistogramOpts) {
o.ConstLabels = labels
}
}

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// Copyright 2016 Michal Witkowski. All Rights Reserved.
// See LICENSE for licensing terms.
// gRPC Prometheus monitoring interceptors for server-side gRPC.
package grpc_prometheus
import (
prom "github.com/prometheus/client_golang/prometheus"
"google.golang.org/grpc"
)
var (
// DefaultServerMetrics is the default instance of ServerMetrics. It is
// intended to be used in conjunction the default Prometheus metrics
// registry.
DefaultServerMetrics = NewServerMetrics()
// UnaryServerInterceptor is a gRPC server-side interceptor that provides Prometheus monitoring for Unary RPCs.
UnaryServerInterceptor = DefaultServerMetrics.UnaryServerInterceptor()
// StreamServerInterceptor is a gRPC server-side interceptor that provides Prometheus monitoring for Streaming RPCs.
StreamServerInterceptor = DefaultServerMetrics.StreamServerInterceptor()
)
func init() {
prom.MustRegister(DefaultServerMetrics.serverStartedCounter)
prom.MustRegister(DefaultServerMetrics.serverHandledCounter)
prom.MustRegister(DefaultServerMetrics.serverStreamMsgReceived)
prom.MustRegister(DefaultServerMetrics.serverStreamMsgSent)
}
// Register takes a gRPC server and pre-initializes all counters to 0. This
// allows for easier monitoring in Prometheus (no missing metrics), and should
// be called *after* all services have been registered with the server. This
// function acts on the DefaultServerMetrics variable.
func Register(server *grpc.Server) {
DefaultServerMetrics.InitializeMetrics(server)
}
// EnableHandlingTimeHistogram turns on recording of handling time
// of RPCs. Histogram metrics can be very expensive for Prometheus
// to retain and query. This function acts on the DefaultServerMetrics
// variable and the default Prometheus metrics registry.
func EnableHandlingTimeHistogram(opts ...HistogramOption) {
DefaultServerMetrics.EnableHandlingTimeHistogram(opts...)
prom.Register(DefaultServerMetrics.serverHandledHistogram)
}

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package grpc_prometheus
import (
prom "github.com/prometheus/client_golang/prometheus"
"golang.org/x/net/context"
"google.golang.org/grpc"
"google.golang.org/grpc/status"
)
// ServerMetrics represents a collection of metrics to be registered on a
// Prometheus metrics registry for a gRPC server.
type ServerMetrics struct {
serverStartedCounter *prom.CounterVec
serverHandledCounter *prom.CounterVec
serverStreamMsgReceived *prom.CounterVec
serverStreamMsgSent *prom.CounterVec
serverHandledHistogramEnabled bool
serverHandledHistogramOpts prom.HistogramOpts
serverHandledHistogram *prom.HistogramVec
}
// NewServerMetrics returns a ServerMetrics object. Use a new instance of
// ServerMetrics when not using the default Prometheus metrics registry, for
// example when wanting to control which metrics are added to a registry as
// opposed to automatically adding metrics via init functions.
func NewServerMetrics(counterOpts ...CounterOption) *ServerMetrics {
opts := counterOptions(counterOpts)
return &ServerMetrics{
serverStartedCounter: prom.NewCounterVec(
opts.apply(prom.CounterOpts{
Name: "grpc_server_started_total",
Help: "Total number of RPCs started on the server.",
}), []string{"grpc_type", "grpc_service", "grpc_method"}),
serverHandledCounter: prom.NewCounterVec(
opts.apply(prom.CounterOpts{
Name: "grpc_server_handled_total",
Help: "Total number of RPCs completed on the server, regardless of success or failure.",
}), []string{"grpc_type", "grpc_service", "grpc_method", "grpc_code"}),
serverStreamMsgReceived: prom.NewCounterVec(
opts.apply(prom.CounterOpts{
Name: "grpc_server_msg_received_total",
Help: "Total number of RPC stream messages received on the server.",
}), []string{"grpc_type", "grpc_service", "grpc_method"}),
serverStreamMsgSent: prom.NewCounterVec(
opts.apply(prom.CounterOpts{
Name: "grpc_server_msg_sent_total",
Help: "Total number of gRPC stream messages sent by the server.",
}), []string{"grpc_type", "grpc_service", "grpc_method"}),
serverHandledHistogramEnabled: false,
serverHandledHistogramOpts: prom.HistogramOpts{
Name: "grpc_server_handling_seconds",
Help: "Histogram of response latency (seconds) of gRPC that had been application-level handled by the server.",
Buckets: prom.DefBuckets,
},
serverHandledHistogram: nil,
}
}
// EnableHandlingTimeHistogram enables histograms being registered when
// registering the ServerMetrics on a Prometheus registry. Histograms can be
// expensive on Prometheus servers. It takes options to configure histogram
// options such as the defined buckets.
func (m *ServerMetrics) EnableHandlingTimeHistogram(opts ...HistogramOption) {
for _, o := range opts {
o(&m.serverHandledHistogramOpts)
}
if !m.serverHandledHistogramEnabled {
m.serverHandledHistogram = prom.NewHistogramVec(
m.serverHandledHistogramOpts,
[]string{"grpc_type", "grpc_service", "grpc_method"},
)
}
m.serverHandledHistogramEnabled = true
}
// Describe sends the super-set of all possible descriptors of metrics
// collected by this Collector to the provided channel and returns once
// the last descriptor has been sent.
func (m *ServerMetrics) Describe(ch chan<- *prom.Desc) {
m.serverStartedCounter.Describe(ch)
m.serverHandledCounter.Describe(ch)
m.serverStreamMsgReceived.Describe(ch)
m.serverStreamMsgSent.Describe(ch)
if m.serverHandledHistogramEnabled {
m.serverHandledHistogram.Describe(ch)
}
}
// Collect is called by the Prometheus registry when collecting
// metrics. The implementation sends each collected metric via the
// provided channel and returns once the last metric has been sent.
func (m *ServerMetrics) Collect(ch chan<- prom.Metric) {
m.serverStartedCounter.Collect(ch)
m.serverHandledCounter.Collect(ch)
m.serverStreamMsgReceived.Collect(ch)
m.serverStreamMsgSent.Collect(ch)
if m.serverHandledHistogramEnabled {
m.serverHandledHistogram.Collect(ch)
}
}
// UnaryServerInterceptor is a gRPC server-side interceptor that provides Prometheus monitoring for Unary RPCs.
func (m *ServerMetrics) UnaryServerInterceptor() func(ctx context.Context, req interface{}, info *grpc.UnaryServerInfo, handler grpc.UnaryHandler) (interface{}, error) {
return func(ctx context.Context, req interface{}, info *grpc.UnaryServerInfo, handler grpc.UnaryHandler) (interface{}, error) {
monitor := newServerReporter(m, Unary, info.FullMethod)
monitor.ReceivedMessage()
resp, err := handler(ctx, req)
st, _ := status.FromError(err)
monitor.Handled(st.Code())
if err == nil {
monitor.SentMessage()
}
return resp, err
}
}
// StreamServerInterceptor is a gRPC server-side interceptor that provides Prometheus monitoring for Streaming RPCs.
func (m *ServerMetrics) StreamServerInterceptor() func(srv interface{}, ss grpc.ServerStream, info *grpc.StreamServerInfo, handler grpc.StreamHandler) error {
return func(srv interface{}, ss grpc.ServerStream, info *grpc.StreamServerInfo, handler grpc.StreamHandler) error {
monitor := newServerReporter(m, streamRPCType(info), info.FullMethod)
err := handler(srv, &monitoredServerStream{ss, monitor})
st, _ := status.FromError(err)
monitor.Handled(st.Code())
return err
}
}
// InitializeMetrics initializes all metrics, with their appropriate null
// value, for all gRPC methods registered on a gRPC server. This is useful, to
// ensure that all metrics exist when collecting and querying.
func (m *ServerMetrics) InitializeMetrics(server *grpc.Server) {
serviceInfo := server.GetServiceInfo()
for serviceName, info := range serviceInfo {
for _, mInfo := range info.Methods {
preRegisterMethod(m, serviceName, &mInfo)
}
}
}
func streamRPCType(info *grpc.StreamServerInfo) grpcType {
if info.IsClientStream && !info.IsServerStream {
return ClientStream
} else if !info.IsClientStream && info.IsServerStream {
return ServerStream
}
return BidiStream
}
// monitoredStream wraps grpc.ServerStream allowing each Sent/Recv of message to increment counters.
type monitoredServerStream struct {
grpc.ServerStream
monitor *serverReporter
}
func (s *monitoredServerStream) SendMsg(m interface{}) error {
err := s.ServerStream.SendMsg(m)
if err == nil {
s.monitor.SentMessage()
}
return err
}
func (s *monitoredServerStream) RecvMsg(m interface{}) error {
err := s.ServerStream.RecvMsg(m)
if err == nil {
s.monitor.ReceivedMessage()
}
return err
}
// preRegisterMethod is invoked on Register of a Server, allowing all gRPC services labels to be pre-populated.
func preRegisterMethod(metrics *ServerMetrics, serviceName string, mInfo *grpc.MethodInfo) {
methodName := mInfo.Name
methodType := string(typeFromMethodInfo(mInfo))
// These are just references (no increments), as just referencing will create the labels but not set values.
metrics.serverStartedCounter.GetMetricWithLabelValues(methodType, serviceName, methodName)
metrics.serverStreamMsgReceived.GetMetricWithLabelValues(methodType, serviceName, methodName)
metrics.serverStreamMsgSent.GetMetricWithLabelValues(methodType, serviceName, methodName)
if metrics.serverHandledHistogramEnabled {
metrics.serverHandledHistogram.GetMetricWithLabelValues(methodType, serviceName, methodName)
}
for _, code := range allCodes {
metrics.serverHandledCounter.GetMetricWithLabelValues(methodType, serviceName, methodName, code.String())
}
}

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// Copyright 2016 Michal Witkowski. All Rights Reserved.
// See LICENSE for licensing terms.
package grpc_prometheus
import (
"time"
"google.golang.org/grpc/codes"
)
type serverReporter struct {
metrics *ServerMetrics
rpcType grpcType
serviceName string
methodName string
startTime time.Time
}
func newServerReporter(m *ServerMetrics, rpcType grpcType, fullMethod string) *serverReporter {
r := &serverReporter{
metrics: m,
rpcType: rpcType,
}
if r.metrics.serverHandledHistogramEnabled {
r.startTime = time.Now()
}
r.serviceName, r.methodName = splitMethodName(fullMethod)
r.metrics.serverStartedCounter.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
return r
}
func (r *serverReporter) ReceivedMessage() {
r.metrics.serverStreamMsgReceived.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
}
func (r *serverReporter) SentMessage() {
r.metrics.serverStreamMsgSent.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Inc()
}
func (r *serverReporter) Handled(code codes.Code) {
r.metrics.serverHandledCounter.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName, code.String()).Inc()
if r.metrics.serverHandledHistogramEnabled {
r.metrics.serverHandledHistogram.WithLabelValues(string(r.rpcType), r.serviceName, r.methodName).Observe(time.Since(r.startTime).Seconds())
}
}

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// Copyright 2016 Michal Witkowski. All Rights Reserved.
// See LICENSE for licensing terms.
package grpc_prometheus
import (
"strings"
"google.golang.org/grpc"
"google.golang.org/grpc/codes"
)
type grpcType string
const (
Unary grpcType = "unary"
ClientStream grpcType = "client_stream"
ServerStream grpcType = "server_stream"
BidiStream grpcType = "bidi_stream"
)
var (
allCodes = []codes.Code{
codes.OK, codes.Canceled, codes.Unknown, codes.InvalidArgument, codes.DeadlineExceeded, codes.NotFound,
codes.AlreadyExists, codes.PermissionDenied, codes.Unauthenticated, codes.ResourceExhausted,
codes.FailedPrecondition, codes.Aborted, codes.OutOfRange, codes.Unimplemented, codes.Internal,
codes.Unavailable, codes.DataLoss,
}
)
func splitMethodName(fullMethodName string) (string, string) {
fullMethodName = strings.TrimPrefix(fullMethodName, "/") // remove leading slash
if i := strings.Index(fullMethodName, "/"); i >= 0 {
return fullMethodName[:i], fullMethodName[i+1:]
}
return "unknown", "unknown"
}
func typeFromMethodInfo(mInfo *grpc.MethodInfo) grpcType {
if !mInfo.IsClientStream && !mInfo.IsServerStream {
return Unary
}
if mInfo.IsClientStream && !mInfo.IsServerStream {
return ClientStream
}
if !mInfo.IsClientStream && mInfo.IsServerStream {
return ServerStream
}
return BidiStream
}