-
Notifications
You must be signed in to change notification settings - Fork 340
/
statsd.rb
296 lines (231 loc) · 9.79 KB
/
statsd.rb
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
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
# frozen_string_literal: true
begin
require "statsd"
rescue LoadError
$stderr.puts "In order to report Kafka client metrics to Statsd you need to install the `statsd-ruby` gem."
raise
end
require "active_support/subscriber"
module Kafka
# Reports operational metrics to a Statsd agent.
#
# require "kafka/statsd"
#
# # Default is "ruby_kafka".
# Kafka::Statsd.namespace = "custom-namespace"
#
# # Default is "127.0.0.1".
# Kafka::Statsd.host = "statsd.something.com"
#
# # Default is 8125.
# Kafka::Statsd.port = 1234
#
# Once the file has been required, no further configuration is needed – all operational
# metrics are automatically emitted.
module Statsd
DEFAULT_NAMESPACE = "ruby_kafka"
DEFAULT_HOST = '127.0.0.1'
DEFAULT_PORT = 8125
def self.statsd
@statsd ||= ::Statsd.new(DEFAULT_HOST, DEFAULT_PORT).tap { |sd| sd.namespace = DEFAULT_NAMESPACE }
end
def self.host=(host)
statsd.host = host
statsd.connect if statsd.respond_to?(:connect)
end
def self.port=(port)
statsd.port = port
statsd.connect if statsd.respond_to?(:connect)
end
def self.namespace=(namespace)
statsd.namespace = namespace
end
class StatsdSubscriber < ActiveSupport::Subscriber
private
%w[increment count timing gauge].each do |type|
define_method(type) do |*args|
Kafka::Statsd.statsd.send(type, *args)
end
end
end
class ConnectionSubscriber < StatsdSubscriber
def request(event)
client = event.payload.fetch(:client_id)
api = event.payload.fetch(:api, "unknown")
request_size = event.payload.fetch(:request_size, 0)
response_size = event.payload.fetch(:response_size, 0)
broker = event.payload.fetch(:broker_host)
timing("api.#{client}.#{api}.#{broker}.latency", event.duration)
increment("api.#{client}.#{api}.#{broker}.calls")
timing("api.#{client}.#{api}.#{broker}.request_size", request_size)
timing("api.#{client}.#{api}.#{broker}.response_size", response_size)
if event.payload.key?(:exception)
increment("api.#{client}.#{api}.#{broker}.errors")
end
end
attach_to "connection.kafka"
end
class ConsumerSubscriber < StatsdSubscriber
def process_message(event)
offset_lag = event.payload.fetch(:offset_lag)
create_time = event.payload.fetch(:create_time)
client = event.payload.fetch(:client_id)
group_id = event.payload.fetch(:group_id)
topic = event.payload.fetch(:topic)
partition = event.payload.fetch(:partition)
time_lag = create_time && ((Time.now - create_time) * 1000).to_i
if event.payload.key?(:exception)
increment("consumer.#{client}.#{group_id}.#{topic}.#{partition}.process_message.errors")
else
timing("consumer.#{client}.#{group_id}.#{topic}.#{partition}.process_message.latency", event.duration)
increment("consumer.#{client}.#{group_id}.#{topic}.#{partition}.messages")
end
gauge("consumer.#{client}.#{group_id}.#{topic}.#{partition}.lag", offset_lag)
# Not all messages have timestamps.
if time_lag
gauge("consumer.#{client}.#{group_id}.#{topic}.#{partition}.time_lag", time_lag)
end
end
def process_batch(event)
messages = event.payload.fetch(:message_count)
client = event.payload.fetch(:client_id)
group_id = event.payload.fetch(:group_id)
topic = event.payload.fetch(:topic)
partition = event.payload.fetch(:partition)
if event.payload.key?(:exception)
increment("consumer.#{client}.#{group_id}.#{topic}.#{partition}.process_batch.errors")
else
timing("consumer.#{client}.#{group_id}.#{topic}.#{partition}.process_batch.latency", event.duration)
count("consumer.#{client}.#{group_id}.#{topic}.#{partition}.messages", messages)
end
end
def fetch_batch(event)
lag = event.payload.fetch(:offset_lag)
batch_size = event.payload.fetch(:message_count)
client = event.payload.fetch(:client_id)
group_id = event.payload.fetch(:group_id)
topic = event.payload.fetch(:topic)
partition = event.payload.fetch(:partition)
count("consumer.#{client}.#{group_id}.#{topic}.#{partition}.batch_size", batch_size)
gauge("consumer.#{client}.#{group_id}.#{topic}.#{partition}.lag", lag)
end
def join_group(event)
client = event.payload.fetch(:client_id)
group_id = event.payload.fetch(:group_id)
timing("consumer.#{client}.#{group_id}.join_group", event.duration)
if event.payload.key?(:exception)
increment("consumer.#{client}.#{group_id}.join_group.errors")
end
end
def sync_group(event)
client = event.payload.fetch(:client_id)
group_id = event.payload.fetch(:group_id)
timing("consumer.#{client}.#{group_id}.sync_group", event.duration)
if event.payload.key?(:exception)
increment("consumer.#{client}.#{group_id}.sync_group.errors")
end
end
def leave_group(event)
client = event.payload.fetch(:client_id)
group_id = event.payload.fetch(:group_id)
timing("consumer.#{client}.#{group_id}.leave_group", event.duration)
if event.payload.key?(:exception)
increment("consumer.#{client}.#{group_id}.leave_group.errors")
end
end
def pause_status(event)
client = event.payload.fetch(:client_id)
group_id = event.payload.fetch(:group_id)
topic = event.payload.fetch(:topic)
partition = event.payload.fetch(:partition)
duration = event.payload.fetch(:duration)
gauge("consumer.#{client}.#{group_id}.#{topic}.#{partition}.pause.duration", duration)
end
attach_to "consumer.kafka"
end
class ProducerSubscriber < StatsdSubscriber
def produce_message(event)
client = event.payload.fetch(:client_id)
topic = event.payload.fetch(:topic)
message_size = event.payload.fetch(:message_size)
buffer_size = event.payload.fetch(:buffer_size)
max_buffer_size = event.payload.fetch(:max_buffer_size)
buffer_fill_ratio = buffer_size.to_f / max_buffer_size.to_f
buffer_fill_percentage = buffer_fill_ratio * 100.0
# This gets us the write rate.
increment("producer.#{client}.#{topic}.produce.messages")
timing("producer.#{client}.#{topic}.produce.message_size", message_size)
# This gets us the avg/max buffer size per producer.
timing("producer.#{client}.buffer.size", buffer_size)
# This gets us the avg/max buffer fill ratio per producer.
timing("producer.#{client}.buffer.fill_ratio", buffer_fill_ratio)
timing("producer.#{client}.buffer.fill_percentage", buffer_fill_percentage)
end
def buffer_overflow(event)
client = event.payload.fetch(:client_id)
topic = event.payload.fetch(:topic)
increment("producer.#{client}.#{topic}.produce.errors")
end
def deliver_messages(event)
client = event.payload.fetch(:client_id)
message_count = event.payload.fetch(:delivered_message_count)
attempts = event.payload.fetch(:attempts)
if event.payload.key?(:exception)
increment("producer.#{client}.deliver.errors")
end
timing("producer.#{client}.deliver.latency", event.duration)
# Messages delivered to Kafka:
count("producer.#{client}.deliver.messages", message_count)
# Number of attempts to deliver messages:
timing("producer.#{client}.deliver.attempts", attempts)
end
def ack_message(event)
client = event.payload.fetch(:client_id)
topic = event.payload.fetch(:topic)
# Number of messages ACK'd for the topic.
increment("producer.#{client}.#{topic}.ack.messages")
# Histogram of delay between a message being produced and it being ACK'd.
timing("producer.#{client}.#{topic}.ack.delay", event.payload.fetch(:delay))
end
def topic_error(event)
client = event.payload.fetch(:client_id)
topic = event.payload.fetch(:topic)
increment("producer.#{client}.#{topic}.ack.errors")
end
attach_to "producer.kafka"
end
class AsyncProducerSubscriber < StatsdSubscriber
def enqueue_message(event)
client = event.payload.fetch(:client_id)
topic = event.payload.fetch(:topic)
queue_size = event.payload.fetch(:queue_size)
max_queue_size = event.payload.fetch(:max_queue_size)
queue_fill_ratio = queue_size.to_f / max_queue_size.to_f
# This gets us the avg/max queue size per producer.
timing("async_producer.#{client}.#{topic}.queue.size", queue_size)
# This gets us the avg/max queue fill ratio per producer.
timing("async_producer.#{client}.#{topic}.queue.fill_ratio", queue_fill_ratio)
end
def buffer_overflow(event)
client = event.payload.fetch(:client_id)
topic = event.payload.fetch(:topic)
increment("async_producer.#{client}.#{topic}.produce.errors")
end
def drop_messages(event)
client = event.payload.fetch(:client_id)
message_count = event.payload.fetch(:message_count)
count("async_producer.#{client}.dropped_messages", message_count)
end
attach_to "async_producer.kafka"
end
class FetcherSubscriber < StatsdSubscriber
def loop(event)
queue_size = event.payload.fetch(:queue_size)
client = event.payload.fetch(:client_id)
group_id = event.payload.fetch(:group_id)
gauge("fetcher.#{client}.#{group_id}.queue_size", queue_size)
end
attach_to "fetcher.kafka"
end
end
end