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
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
|
# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
require 'objspace'
module Elasticsearch
module Benchmarking
# Class encapsulating all settings and functionality for running benchmarking
# tasks making simple requests.
#
# @since 7.0.0
class Simple
include Measurable
# Test sending a ping request.
#
# @example Test sending a ping request.
# task.ping(opts)
#
# @param [ Hash ] opts The test run options.
#
# @results [ Hash ] The results document.
#
# @since 7.0.0
def ping(opts = {})
results = []
action_iterations = 1_000
warmup_repetitions.times { client.ping }
duration = Benchmark.realtime do
results = measured_repetitions.times.collect do
Benchmark.realtime do
action_iterations.times do
client.ping
end
end
end
end
options = { duration: duration,
operation: __method__,
action_iterations: action_iterations }
index_results!(results, options)
end
# Test sending a create_index request.
#
# @example Test sending a create index request.
# task.create_index(opts)
#
# @param [ Hash ] opts The test run options.
#
# @results [ Hash ] The results document.
#
# @since 7.0.0
def create_index(opts = {})
results = []
action_iterations = 10
warmup_repetitions.times do
client.indices.create(index: "benchmarking-#{Time.now.to_f}")
end
duration = with_cleanup do
Benchmark.realtime do
results = measured_repetitions.times.collect do |i|
index_names = action_iterations.times.collect { |j| (measured_repetitions*i) + j }
Benchmark.realtime do
action_iterations.times do |j|
client.indices.create(index: "benchmarking-#{index_names[j]}")
end
end
end
end
end
options = { duration: duration,
operation: __method__,
action_iterations: action_iterations }
index_results!(results, options)
end
# Test sending an index document request for a small document.
#
# @example Test sending an index document request.
# task.index_document_small
#
# @param [ Hash ] opts The test run options.
#
# @results [ Hash ] The results document.
#
# @since 7.0.0
def index_document_small(opts={})
results = []
document = small_document
action_iterations = 10
warmup_repetitions.times do
client.create(index: INDEX, body: document)
end
duration = with_cleanup do
Benchmark.realtime do
results = measured_repetitions.times.collect do
Benchmark.realtime do
action_iterations.times do
client.create(index: INDEX, body: document)
end
end
end
end
end
options = { duration: duration,
operation: __method__,
dataset: 'small_document',
dataset_size: ObjectSpace.memsize_of(small_document),
dataset_n_documents: 1,
action_iterations: action_iterations }
index_results!(results, options)
end
# Test sending an index document request for a large document.
#
# @example Test sending an index document request.
# task.index_document_large
#
# @param [ Hash ] opts The test run options.
#
# @results [ Hash ] The results document.
#
# @since 7.0.0
def index_document_large(opts={})
results = []
document = large_document
action_iterations = 1_000
warmup_repetitions.times do
client.create(index: INDEX, body: document)
end
duration = with_cleanup do
Benchmark.realtime do
results = measured_repetitions.times.collect do
Benchmark.realtime do
action_iterations.times do
client.create(index: INDEX, body: document)
end
end
end
end
end
options = { duration: duration,
operation: __method__,
dataset: 'large_document',
dataset_size: ObjectSpace.memsize_of(large_document),
dataset_n_documents: 1,
action_iterations: action_iterations }
index_results!(results, options)
end
# Test sending a get document request for a small document.
#
# @example Test sending a get document request.
# Benchmarking::Simple.get_document_small
#
# @param [ Hash ] opts The test run options.
#
# @results [ Hash ] The results document.
#
# @since 7.0.0
def get_document_small(opts={})
results = []
action_iterations = 1_000
duration = with_cleanup do
id = client.create(index: INDEX, body: small_document)['_id']
warmup_repetitions.times do
client.get(index: INDEX, id: id)
end
Benchmark.realtime do
results = measured_repetitions.times.collect do
Benchmark.realtime do
action_iterations.times do
client.get(index: INDEX, id: id)
end
end
end
end
end
options = { duration: duration,
operation: __method__,
dataset: 'small_document',
dataset_size: ObjectSpace.memsize_of(small_document),
dataset_n_documents: 1,
action_iterations: action_iterations }
index_results!(results, options)
end
# Test sending a get document request for a large document.
#
# @example Test sending a get document request.
# Benchmarking::Simple.get_document_large
#
# @param [ Hash ] opts The test run options.
#
# @results [ Hash ] The results document.
#
# @since 7.0.0
def get_document_large(opts={})
duration = 0
results = []
action_iterations = 1_000
duration = with_cleanup do
id = client.create(index: INDEX, body: large_document)['_id']
warmup_repetitions.times do
client.get(index: INDEX, id: id)
end
Benchmark.realtime do
results = measured_repetitions.times.collect do
Benchmark.realtime do
action_iterations.times do
client.get(index: INDEX, id: id)
end
end
end
end
end
options = { duration: duration,
operation: __method__,
dataset: 'large_document',
dataset_size: ObjectSpace.memsize_of(large_document),
dataset_n_documents: 1,
action_iterations: action_iterations }
index_results!(results, options)
end
# Test sending a search request and retrieving a small document.
#
# @example Test sending a search request for a small document.
# task.search_document_small
#
# @param [ Hash ] opts The test run options.
#
# @results [ Hash ] The results documents.
#
# @since 7.0.0
def search_document_small(opts={})
duration = 0
results = []
action_iterations = 1_000
duration = with_cleanup do
client.create(index: INDEX, body: small_document)
search_criteria = { match: { cuisine: 'mexican' } }
request = { body: { query: search_criteria } }
if noop_plugin?
Elasticsearch::API.const_set('UNDERSCORE_SEARCH', '_noop_search')
else
request.merge!(index: INDEX)
end
warmup_repetitions.times do
client.search(request)
end
Benchmark.realtime do
results = measured_repetitions.times.collect do
Benchmark.realtime do
action_iterations.times do
client.search(request)
end
end
end
end
end
options = { duration: duration,
operation: __method__,
dataset: 'small_document',
dataset_size: ObjectSpace.memsize_of(small_document),
dataset_n_documents: 1,
action_iterations: action_iterations }
index_results!(results, options)
end
# Test sending a search request and retrieving a large document.
#
# @example Test sending a search request for a large document.
# task.search_document_large
#
# @param [ Hash ] opts The test run options.
#
# @results [ Hash ] The results documents.
#
# @since 7.0.0
def search_document_large(opts={})
results = []
action_iterations = 1_000
duration = with_cleanup do
client.create(index: INDEX, body: large_document)
search_criteria = { match: { 'user.lang': 'en' } }
request = { body: { query: search_criteria } }
if noop_plugin?
Elasticsearch::API.const_set('UNDERSCORE_SEARCH', '_noop_search')
else
request.merge!(index: INDEX)
end
warmup_repetitions.times do
client.search(request)
end
Benchmark.realtime do
results = measured_repetitions.times.collect do
Benchmark.realtime do
action_iterations.times do
client.search(request)
end
end
end
end
end
options = { duration: duration,
operation: __method__,
dataset: 'large_document',
dataset_size: ObjectSpace.memsize_of(large_document),
dataset_n_documents: 1,
action_iterations: action_iterations }
index_results!(results, options)
end
# Test sending a update request for a small document.
#
# @example Test sending an update request for a small document.
# Benchmarking::Simple.update_document
#
# @param [ Hash ] opts The test run options.
#
# @results [ Hash ] The results documents.
#
# @since 7.0.0
def update_document(opts={})
results = []
action_iterations = 1_000
duration = with_cleanup do
document = small_document
id = client.create(index: INDEX, body: document)['_id']
field = document.find { |k,v| k != 'id' && v.is_a?(String) }.first
warmup_repetitions.times do |i|
client.update(index: INDEX,
id: id,
body: { doc: { field: "#{document[field]}-#{i}" } })
end
Benchmark.realtime do
results = measured_repetitions.times.collect do
Benchmark.realtime do
action_iterations.times do |i|
client.update(index: INDEX,
id: id,
body: { doc: { field: "#{document[field]}-#{i}" } })
end
end
end
end
end
options = { duration: duration,
operation: __method__,
dataset: 'small_document',
dataset_size: ObjectSpace.memsize_of(small_document),
dataset_n_documents: 1,
action_iterations: action_iterations }
index_results!(results, options)
end
end
end
end
|
