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
|
#!/usr/bin/env python
#
# Public Domain 2014-present MongoDB, Inc.
# Public Domain 2008-2014 WiredTiger, Inc.
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
# binary, for any purpose, commercial or non-commercial, and by any
# means.
#
# In jurisdictions that recognize copyright laws, the author or authors
# of this software dedicate any and all copyright interest in the
# software to the public domain. We make this dedication for the benefit
# of the public at large and to the detriment of our heirs and
# successors. We intend this dedication to be an overt act of
# relinquishment in perpetuity of all present and future rights to this
# software under copyright law.
#
# 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 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.
#
# Generated from runner/read_write_heavy.wtperf originally, then hand edited.
# A long run demonstrating how read or write threads can be synchronized.
import sys
from runner import *
from wiredtiger import *
from workgen import *
context = Context()
conn_config = ""
conn_config += ",cache_size=2GB,eviction=(threads_max=8),log=(enabled=true),session_max=250,statistics=(fast),statistics_log=(wait=1,json)" # explicitly added
conn = context.wiredtiger_open("create," + conn_config)
s = conn.open_session("")
wtperf_table_config = "key_format=S,value_format=S," +\
"exclusive=true,allocation_size=4kb," +\
"internal_page_max=64kb,leaf_page_max=4kb,split_pct=100,"
compress_table_config = "block_compressor=snappy,"
table_config = "memory_page_max=10m,leaf_value_max=64MB,checksum=on,split_pct=90,type=file,log=(enabled=false),leaf_page_max=32k,block_compressor=snappy"
tables = []
table_count = 100
for i in range(0, table_count):
tname = "table:test" + str(i)
table = Table(tname)
s.create(tname, wtperf_table_config +\
compress_table_config + table_config)
table.options.key_size = 20
table.options.value_size = 7000
tables.append(table)
populate_threads = 4
icount = 4000000
# There are multiple tables to be filled during populate,
# the icount is split between them all.
pop_ops = Operation(Operation.OP_INSERT, tables[0])
pop_ops = op_multi_table(pop_ops, tables)
nops_per_thread = icount // (populate_threads * table_count)
pop_thread = Thread(pop_ops * nops_per_thread)
pop_workload = Workload(context, populate_threads * pop_thread)
pop_workload.run(conn)
print('populate complete')
# Log like file, requires that logging be enabled in the connection config.
log_name = "table:log"
s.create(log_name, wtperf_table_config + "key_format=S,value_format=S," + compress_table_config + table_config + ",log=(enabled=true)")
log_table = Table(log_name)
ops = Operation(Operation.OP_UPDATE, tables[0])
ops = op_multi_table(ops, tables, False)
ops = op_log_like(ops, log_table, 0)
thread0 = Thread(ops)
# These operations include log_like operations, which will increase the number
# of insert/update operations by a factor of 2.0. This may cause the
# actual operations performed to be above the throttle.
thread0.options.throttle=11
thread0.options.throttle_burst=0
ops = Operation(Operation.OP_SEARCH, tables[0])
ops = op_multi_table(ops, tables, False)
ops = op_log_like(ops, log_table, 0)
thread1 = Thread(ops)
thread1.options.throttle=60
thread1.options.throttle_burst=0
ops = Operation(Operation.OP_SLEEP, "60") + \
Operation(Operation.OP_CHECKPOINT, "")
checkpoint_thread = Thread(ops)
ops = Operation(Operation.OP_SLEEP, "0.1") + \
Operation(Operation.OP_LOG_FLUSH, "")
logging_thread = Thread(ops)
############################################################################
# This part was added to the generated file.
# Add unthrottled threads that are synchronized so we get two minutes with
# unthrottled readers + writers, two minutes of unthrottled writers, two minutes
# of unthrottled readers and two minutes of idle. That is repeated. This is
# against a background of light reading and writing by the throttled threads.
ops = Operation(Operation.OP_UPDATE, tables[0])
ops = op_multi_table(ops, tables, False)
ops = op_log_like(ops, log_table, 0)
ops = timed(240.0, ops) + sleep(240.0)
thread_big_writer = Thread(ops)
thread_big_writer.synchronized = True
ops = Operation(Operation.OP_SEARCH, tables[0])
ops = op_multi_table(ops, tables, False)
ops = op_log_like(ops, log_table, 0)
ops = timed(120.0, ops) + timed(240.0, ops) + sleep(120.0)
thread_big_reader = Thread(ops)
thread_big_reader.synchronized = True
# End of added section.
# The new threads will also be added to the workload below.
############################################################################
workload = Workload(context, 20 * thread0 + 20 * thread1 + checkpoint_thread + logging_thread + 50 * thread_big_writer + 50 * thread_big_reader)
workload.options.report_interval=1
workload.options.run_time=1800
workload.options.sample_rate=1
workload.options.warmup=0
workload.options.sample_interval_ms = 1000
workload.run(conn)
latency_filename = context.args.home + "/latency.out"
latency.workload_latency(workload, latency_filename)
|
