forked from redpanda-data/connect
-
Notifications
You must be signed in to change notification settings - Fork 1
/
sample.go
100 lines (85 loc) · 3.3 KB
/
sample.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
// Copyright (c) 2017 Ashley Jeffs
//
// 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.
package processor
import (
"math/rand"
"github.com/Jeffail/benthos/lib/types"
"github.com/Jeffail/benthos/lib/util/service/log"
"github.com/Jeffail/benthos/lib/util/service/metrics"
)
//------------------------------------------------------------------------------
func init() {
Constructors["sample"] = TypeSpec{
constructor: NewSample,
description: `
Passes on a randomly sampled percentage of messages. The random seed is static
in order to sample deterministically, but can be set in config to allow parallel
samples that are unique.`,
}
}
//------------------------------------------------------------------------------
// SampleConfig contains any configuration for the Sample processor.
type SampleConfig struct {
Retain float64 `json:"retain" yaml:"retain"`
RandomSeed int64 `json:"seed" yaml:"seed"`
}
// NewSampleConfig returns a SampleConfig with default values.
func NewSampleConfig() SampleConfig {
return SampleConfig{
Retain: 10.0, // 10%
RandomSeed: 0,
}
}
//------------------------------------------------------------------------------
// Sample is a processor that checks each message against a set of bounds
// and rejects messages if they aren't within them.
type Sample struct {
conf Config
log log.Modular
stats metrics.Type
retain float64
gen *rand.Rand
}
// NewSample returns a Sample processor.
func NewSample(
conf Config, mgr types.Manager, log log.Modular, stats metrics.Type,
) (Type, error) {
gen := rand.New(rand.NewSource(conf.Sample.RandomSeed))
return &Sample{
conf: conf,
log: log.NewModule(".processor.sample"),
stats: stats,
retain: conf.Sample.Retain / 100.0,
gen: gen,
}, nil
}
//------------------------------------------------------------------------------
// ProcessMessage checks each message against a set of bounds.
func (s *Sample) ProcessMessage(msg types.Message) ([]types.Message, types.Response) {
s.stats.Incr("processor.sample.count", 1)
if s.gen.Float64() > s.retain {
s.stats.Incr("processor.sample.dropped", 1)
return nil, types.NewSimpleResponse(nil)
}
s.stats.Incr("processor.sample.sent", 1)
msgs := [1]types.Message{msg}
return msgs[:], nil
}
//------------------------------------------------------------------------------