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run_exp.py
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run_exp.py
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#!/usr/bin/python3
# vim: set expandtab softtabstop=2 shiftwidth=2:
import glob
import os
import sys
import re
import time
import shutil
import subprocess
import pprint
COLOR_RED = '\x1b[31m'
COLOR_GREEN = '\x1b[32m'
COLOR_YELLOW = '\x1b[33m'
COLOR_BLUE = '\x1b[34m'
COLOR_MAGENTA = '\x1b[35m'
COLOR_CYAN ='\x1b[36m'
COLOR_RESET = '\x1b[0m'
def replace_def(conf, name, value):
pattern = r'^#define %s\s+.+$' % re.escape(name)
repl = r'#define %s %s' % (name, value)
s, n = re.subn(pattern, repl, conf, flags=re.MULTILINE)
assert n == 1, 'failed to replace def: %s=%s' % (name, value)
return s
def set_alg(conf, alg, **kwargs):
conf = replace_def(conf, 'CC_ALG', alg.partition('-')[0].partition('+')[0])
conf = replace_def(conf, 'ISOLATION_LEVEL', 'SERIALIZABLE')
if alg == 'SILO':
conf = replace_def(conf, 'VALIDATION_LOCK', '"waiting"')
conf = replace_def(conf, 'PRE_ABORT', '"false"')
else:
conf = replace_def(conf, 'VALIDATION_LOCK', '"no-wait"')
conf = replace_def(conf, 'PRE_ABORT', '"true"')
if alg == 'MICA':
conf = replace_def(conf, 'INDEX_STRUCT', 'IDX_HASH')
conf = replace_def(conf, 'MICA_FULLINDEX', 'false')
elif alg == 'MICA+INDEX':
conf = replace_def(conf, 'INDEX_STRUCT', 'IDX_MICA')
conf = replace_def(conf, 'MICA_FULLINDEX', 'false')
elif alg == 'MICA+FULLINDEX':
conf = replace_def(conf, 'INDEX_STRUCT', 'IDX_MICA')
conf = replace_def(conf, 'MICA_FULLINDEX', 'true')
else:
conf = replace_def(conf, 'INDEX_STRUCT', 'IDX_HASH')
conf = replace_def(conf, 'MICA_FULLINDEX', 'false')
# conf = replace_def(conf, 'RCU_ALLOC', 'false')
conf = replace_def(conf, 'RCU_ALLOC', 'true')
if alg.startswith('MICA'):
# ~8192 huge pages (16 GiB) for RCU
conf = replace_def(conf, 'RCU_ALLOC_SIZE', str(int(8192 * 0.99) * 2 * 1048576) + 'UL')
else:
conf = replace_def(conf, 'RCU_ALLOC_SIZE', str(int(hugepage_count[alg] * 0.99) * 2 * 1048576) + 'UL')
return conf
def set_ycsb(conf, thread_count, total_count, record_size, req_per_query, read_ratio, zipf_theta, tx_count, **kwargs):
conf = replace_def(conf, 'WORKLOAD', 'YCSB')
conf = replace_def(conf, 'WARMUP', str(int(tx_count / 3)))
conf = replace_def(conf, 'MAX_TXN_PER_PART', str(tx_count))
conf = replace_def(conf, 'MAX_TUPLE_SIZE', str(record_size))
conf = replace_def(conf, 'INIT_PARALLELISM', str(thread_count))
conf = replace_def(conf, 'PART_CNT', str(min(2, thread_count))) # try to use both NUMA node, but do not create too many partitions
conf = replace_def(conf, 'SYNTH_TABLE_SIZE', str(total_count))
conf = replace_def(conf, 'REQ_PER_QUERY', str(req_per_query))
conf = replace_def(conf, 'READ_PERC', str(read_ratio))
conf = replace_def(conf, 'WRITE_PERC', str(1. - read_ratio))
conf = replace_def(conf, 'SCAN_PERC', 0)
conf = replace_def(conf, 'ZIPF_THETA', str(zipf_theta))
return conf
def set_tpcc(conf, thread_count, bench, warehouse_count, tx_count, **kwargs):
conf = replace_def(conf, 'WORKLOAD', 'TPCC')
conf = replace_def(conf, 'WARMUP', str(int(tx_count / 3)))
conf = replace_def(conf, 'MAX_TXN_PER_PART', str(tx_count))
conf = replace_def(conf, 'MAX_TUPLE_SIZE', str(704))
conf = replace_def(conf, 'NUM_WH', str(warehouse_count))
# INIT_PARALLELISM does not affect tpcc initialization
conf = replace_def(conf, 'INIT_PARALLELISM', str(warehouse_count))
conf = replace_def(conf, 'PART_CNT', str(warehouse_count))
if bench == 'TPCC':
conf = replace_def(conf, 'TPCC_INSERT_ROWS', 'false')
conf = replace_def(conf, 'TPCC_DELETE_ROWS', 'false')
conf = replace_def(conf, 'TPCC_INSERT_INDEX', 'false')
conf = replace_def(conf, 'TPCC_DELETE_INDEX', 'false')
conf = replace_def(conf, 'TPCC_FULL', 'false')
elif bench == 'TPCC-FULL':
conf = replace_def(conf, 'TPCC_INSERT_ROWS', 'true')
conf = replace_def(conf, 'TPCC_DELETE_ROWS', 'true')
conf = replace_def(conf, 'TPCC_INSERT_INDEX', 'true')
conf = replace_def(conf, 'TPCC_DELETE_INDEX', 'true')
conf = replace_def(conf, 'TPCC_FULL', 'true')
else:
assert False
if 'simple_index_update' in kwargs:
conf = replace_def(conf, 'TPCC_VALIDATE_GAP', 'false')
conf = replace_def(conf, 'TPCC_VALIDATE_NODE', 'false')
conf = replace_def(conf, 'SIMPLE_INDEX_UPDATE', 'true')
return conf
def set_tatp(conf, thread_count, scale_factor, tx_count, **kwargs):
conf = replace_def(conf, 'WORKLOAD', 'TATP')
conf = replace_def(conf, 'WARMUP', str(int(tx_count / 3)))
conf = replace_def(conf, 'MAX_TXN_PER_PART', str(tx_count))
conf = replace_def(conf, 'MAX_TUPLE_SIZE', str(67))
conf = replace_def(conf, 'TATP_SCALE_FACTOR', str(scale_factor))
conf = replace_def(conf, 'INIT_PARALLELISM', str(thread_count))
conf = replace_def(conf, 'PART_CNT', str(min(2, thread_count))) # try to use both NUMA node, but do not create too many partitions
return conf
def set_threads(conf, thread_count, **kwargs):
return replace_def(conf, 'THREAD_CNT', thread_count)
def set_mica_confs(conf, **kwargs):
if 'no_tsc' in kwargs:
conf = replace_def(conf, 'MICA_NO_TSC', 'true')
if 'no_preval' in kwargs:
conf = replace_def(conf, 'MICA_NO_PRE_VALIDATION', 'true')
if 'no_newest' in kwargs:
conf = replace_def(conf, 'MICA_NO_INSERT_NEWEST_VERSION_ONLY', 'true')
if 'no_wsort' in kwargs:
conf = replace_def(conf, 'MICA_NO_SORT_WRITE_SET_BY_CONTENTION', 'true')
if 'no_tscboost' in kwargs:
conf = replace_def(conf, 'MICA_NO_STRAGGLER_AVOIDANCE', 'true')
if 'no_wait' in kwargs:
conf = replace_def(conf, 'MICA_NO_WAIT_FOR_PENDING', 'true')
if 'no_inlining' in kwargs:
conf = replace_def(conf, 'MICA_NO_INLINING', 'true')
if 'no_backoff' in kwargs:
conf = replace_def(conf, 'MICA_NO_BACKOFF', 'true')
if 'fixed_backoff' in kwargs:
conf = replace_def(conf, 'MICA_USE_FIXED_BACKOFF', 'true')
conf = replace_def(conf, 'MICA_FIXED_BACKOFF', str(kwargs['fixed_backoff']))
if 'slow_gc' in kwargs:
conf = replace_def(conf, 'MICA_USE_SLOW_GC', 'true')
conf = replace_def(conf, 'MICA_SLOW_GC', str(kwargs['slow_gc']))
# if 'column_count' in kwargs:
# conf = replace_def(conf, 'MICA_COLUMN_COUNT', str(kwargs['column_count']))
if 'max_scan_len' in kwargs:
conf = replace_def(conf, 'MICA_USE_SCAN', 'true')
conf = replace_def(conf, 'MICA_MAX_SCAN_LEN', str(kwargs['max_scan_len']))
if 'full_table_scan' in kwargs:
conf = replace_def(conf, 'MICA_USE_SCAN', 'true')
conf = replace_def(conf, 'MICA_USE_FULL_TABLE_SCAN', 'true')
return conf
dir_name = None
old_dir_name = None
node_count = None
max_thread_count = None
prefix = ''
suffix = ''
total_seqs = 5
max_retries = 3
hugepage_count = {
# 32 GiB
'SILO': 32 * 1024 / 2,
'TICTOC': 32 * 1024 / 2,
'NO_WAIT': 32 * 1024 / 2,
# 32 GiB + (16 GiB for RCU)
'MICA': (32 + 16) * 1024 / 2,
'MICA+INDEX': (32 + 16) * 1024 / 2,
# 96 GiB
'HEKATON': 96 * 1024 / 2,
# 48 GiB (16 threads, 28 warehouses use much more memory for some reason)
'SILO-REF': 48 * 1024 / 2,
'SILO-REF-BACKOFF': 48 * 1024 / 2,
# 80 GiB (using too much hugepages can reduce tput)
'ERMIA-SI-REF': 80 * 1024 / 2,
'ERMIA-SI-REF-BACKOFF': 80 * 1024 / 2,
'ERMIA-SSI-REF': 80 * 1024 / 2,
'ERMIA-SSI-REF-BACKOFF': 80 * 1024 / 2,
'ERMIA-SI_SSN-REF': 80 * 1024 / 2,
'ERMIA-SI_SSN-REF-BACKOFF': 80 * 1024 / 2,
# 112 GiB
'FOEDUS-MOCC-REF': 112 * 1024 / 2,
'FOEDUS-OCC-REF': 112 * 1024 / 2,
}
def gen_filename(exp):
s = ''
for key in sorted(exp.keys()):
s += key
s += '@'
s += str(exp[key])
s += '__'
return prefix + s.rstrip('__') + suffix
def parse_filename(filename):
assert filename.startswith(prefix)
assert filename.endswith(suffix)
d = {}
filename = filename[len(prefix):]
if len(suffix) != 0:
filename = filename[:-len(suffix)]
for entry in filename.split('__'):
key, _, value = entry.partition('@')
if key in ('thread_count', 'total_count', 'record_size', 'req_per_query', 'tx_count', 'seq', 'warehouse_count', 'slow_gc', 'column_count', 'max_scan_len', 'scale_factor'):
p_value = int(value)
elif key in ('read_ratio', 'zipf_theta', 'fixed_backoff'):
p_value = float(value)
elif key in ('no_tsc', 'no_preval', 'no_newest', 'no_wsort', 'no_tscboost',
'no_wait', 'no_inlining', 'no_backoff', 'full_table_scan',
'simple_index_update'):
p_value = 1
elif key in ('bench', 'alg', 'tag'):
p_value = value
else: assert False, key
assert value == str(p_value), key
d[key] = p_value
return d
def remove_stale():
exps = []
for seq in range(total_seqs):
exps += list(enum_exps(seq))
valid_filenames = set([gen_filename(exp) for exp in exps])
for filename in os.listdir(dir_name):
if filename.endswith('.old'):
continue
if filename.find('.failed-') != -1:
continue
if not (filename.startswith(prefix) and filename.endswith(suffix)):
continue
if filename in valid_filenames:
continue
if not os.path.exists(old_dir_name):
os.mkdir(old_dir_name)
print('stale file: %s' % filename)
os.rename(dir_name + '/' + filename, old_dir_name + '/' + filename)
def comb_dict(*dicts):
d = {}
for dict in dicts:
d.update(dict)
return d
def format_exp(exp):
return pprint.pformat(exp).replace('\n', '')
def enum_exps(seq):
all_algs = ['MICA', 'MICA+INDEX', #'MICA+FULLINDEX',
'SILO', 'TICTOC', 'HEKATON', 'NO_WAIT',
'SILO-REF',
# 'SILO-REF-BACKOFF',
#'ERMIA-SI-REF',
#'ERMIA-SSI-REF',
'ERMIA-SI_SSN-REF',
# 'ERMIA-SI-REF-BACKOFF',
# 'ERMIA-SSI-REF-BACKOFF',
# 'ERMIA-SI_SSN-REF-BACKOFF',
'FOEDUS-MOCC-REF',
'FOEDUS-OCC-REF',
]
macrobenchs = ['macrobench']
factors = ['factor']
# macrobenchs = ['macrobench', 'native-macrobench']
# factors = ['factor', 'native-factor']
for tag in macrobenchs:
for alg in all_algs:
if tag == 'macrobench' and alg in ('MICA+FULLINDEX',):
# if tag == 'macrobench' and alg in ('MICA+INDEX', 'MICA+FULLINDEX'):
continue
if tag == 'native-macrobench' and alg not in ('MICA', 'MICA+INDEX', 'MICA+FULLINDEX'):
continue
for thread_count in [1, 2] + list(range(4, max_thread_count + 1, 4)):
common = { 'seq': seq, 'tag': tag, 'alg': alg, 'thread_count': thread_count }
if alg in ('FOEDUS-MOCC-REF', 'FOEDUS-OCC-REF') and thread_count < 4:
# Broken in FOEDUS
continue
# YCSB
# if alg.find('-REF') == -1:
if True:
ycsb = dict(common)
total_count = 10 * 1000 * 1000
ycsb.update({ 'bench': 'YCSB', 'total_count': total_count })
# record_size = 1000
record_size = 100
req_per_query = 16
tx_count = 200000
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
for read_ratio in [0.50, 0.95]:
# for zipf_theta in [0.00, 0.90, 0.99]:
for zipf_theta in [0.00, 0.99]:
#if zipf_theta >= 0.95:
# if read_ratio == 0.50 and alg == 'NO_WAIT': continue
# if read_ratio == 0.50 and alg == 'HEKATON': continue
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
#record_size = 1000
record_size = 100
req_per_query = 1
tx_count = 2000000
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
for read_ratio in [0.50, 0.95]:
# for zipf_theta in [0.00, 0.90, 0.99]:
for zipf_theta in [0.00, 0.99]:
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
# TPCC
if alg.find('-REF') == -1:
tpcc = dict(common)
tx_count = 200000
tpcc.update({ 'bench': 'TPCC', 'tx_count': tx_count })
# for warehouse_count in [1, 4, 16, max_thread_count]:
for warehouse_count in [1, 4, max_thread_count]:
if tag != 'macrobench': continue
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
for warehouse_count in [1, 2] + list(range(4, max_thread_count + 1, 4)):
if tag != 'macrobench': continue
if thread_count not in [max_thread_count, warehouse_count]: continue
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
# full TPCC
if alg not in ('MICA',): # MICA must use the native index
tpcc = dict(common)
tx_count = 200000
tpcc.update({ 'bench': 'TPCC-FULL', 'tx_count': tx_count })
# for warehouse_count in [1, 4, 16, max_thread_count]:
for warehouse_count in [1, 4, max_thread_count]:
if tag != 'macrobench': continue
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
for warehouse_count in [1, 2] + list(range(4, max_thread_count + 1, 4)):
if tag != 'macrobench': continue
if thread_count not in [max_thread_count, warehouse_count]: continue
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
# full TPCC with simple index update
# (delayed index update, no phantom avoidance)
if alg not in ('MICA',) and alg.find('-REF') == -1:
tpcc = dict(common)
tx_count = 200000
tpcc.update({ 'bench': 'TPCC-FULL', 'tx_count': tx_count,
'simple_index_update': 1 })
# for warehouse_count in [1, 4, 16, max_thread_count]:
for warehouse_count in [1, 4, max_thread_count]:
if tag != 'macrobench': continue
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
for warehouse_count in [1, 2] + list(range(4, max_thread_count + 1, 4)):
if tag != 'macrobench': continue
if thread_count not in [max_thread_count, warehouse_count]: continue
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
# TATP
# if alg.find('-REF') == -1:
# tatp = dict(common)
# tx_count = 200000
# tatp.update({ 'bench': 'TATP', 'tx_count': tx_count })
#
# # for scale_factor in [1, 2, 5, 10, 20, 50, 100]:
# # for scale_factor in [1, 10]:
# for scale_factor in [1]:
# if tag != 'macrobench': continue
# tatp.update({ 'scale_factor': scale_factor })
# yield dict(tatp)
for thread_count in [max_thread_count]:
common = { 'seq': seq, 'tag': tag, 'alg': alg, 'thread_count': thread_count }
# YCSB
# if alg.find('-REF') == -1:
if True:
ycsb = dict(common)
total_count = 10 * 1000 * 1000
ycsb.update({ 'bench': 'YCSB', 'total_count': total_count })
# record_size = 1000
record_size = 100
req_per_query = 16
tx_count = 200000
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
for read_ratio in [0.50, 0.95]:
for zipf_theta in [0.00, 0.40, 0.60, 0.80, 0.90, 0.95, 0.99]:
#if zipf_theta >= 0.95:
# if read_ratio == 0.50 and alg == 'NO_WAIT': continue
# if read_ratio == 0.50 and alg == 'HEKATON': continue
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
# record_size = 1000
record_size = 100
req_per_query = 1
tx_count = 2000000
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
for read_ratio in [0.50, 0.95]:
for zipf_theta in [0.00, 0.40, 0.60, 0.80, 0.90, 0.95, 0.99]:
#if zipf_theta >= 0.95:
# if read_ratio == 0.50 and alg == 'NO_WAIT': continue
# if read_ratio == 0.50 and alg == 'HEKATON': continue
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
tag = 'inlining'
for alg in all_algs:
# for alg in ['MICA', 'SILO', 'TICTOC']:
# for alg in ['MICA', 'MICA+INDEX', 'SILO', 'TICTOC']:
for thread_count in [max_thread_count]:
if alg.find('-REF') == -1:
common = { 'seq': seq, 'tag': tag, 'alg': alg, 'thread_count': thread_count }
# YCSB
ycsb = dict(common)
total_count = 10 * 1000 * 1000
ycsb.update({ 'bench': 'YCSB', 'total_count': total_count })
for record_size in [10, 20, 40, 100, 200, 400, 1000, 2000]:
req_per_query = 16
tx_count = 200000
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
read_ratio = 0.95
zipf_theta = 0.00
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
if alg in ['MICA', 'MICA+INDEX']:
ycsb.update({ 'no_inlining': 1 })
yield dict(ycsb)
del ycsb['no_inlining']
tag = 'singlekey'
# for alg in all_algs:
# others disabled because Silo/TicToc makes too much skewed throughput across threads
# for alg in ['MICA', 'MICA+INDEX', 'SILO', 'TICTOC']:
# for alg in ['MICA', 'MICA+INDEX']:
for alg in []:
for thread_count in [1, 2] + list(range(4, max_thread_count + 1, 4)):
common = { 'seq': seq, 'tag': tag, 'alg': alg, 'thread_count': thread_count }
# YCSB
ycsb = dict(common)
total_count = 1
ycsb.update({ 'bench': 'YCSB', 'total_count': total_count })
record_size = 16
req_per_query = 1
if thread_count <= 1:
tx_count = 8000000
elif thread_count <= 4:
tx_count = 4000000
else:
tx_count = 2000000
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
read_ratio = 0.00
zipf_theta = 0.00
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
def _common_exps(common):
if common['tag'] in ('backoff', 'factor', 'native-factor'):
# YCSB
ycsb = dict(common)
total_count = 10 * 1000 * 1000
ycsb.update({ 'bench': 'YCSB', 'total_count': total_count })
# record_size = 1000
record_size = 100
req_per_query = 16
tx_count = 200000
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
# if common['tag'] == 'backoff':
# # for read_ratio in [0.50, 0.95]:
# # for zipf_theta in [0.00, 0.99]:
# read_ratio = 0.50
# zipf_theta = 0.90
# ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
# yield dict(ycsb)
read_ratio = 0.50
zipf_theta = 0.99
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
if common['tag'] == 'backoff':
# record_size = 1000
record_size = 100
req_per_query = 1
tx_count = 2000000
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
# for read_ratio in [0.50, 0.95]:
# for zipf_theta in [0.00, 0.99]:
read_ratio = 0.50
zipf_theta = 0.99
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
if common['tag'] in ('factor', 'native-factor'):
# record_size = 1000
record_size = 100
req_per_query = 1
tx_count = 2000000
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
# for read_ratio in [0.50, 0.95]:
# for zipf_theta in [0.00, 0.99]:
# read_ratio = 0.95
# zipf_theta = 0.00
# ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
# yield dict(ycsb)
read_ratio = 0.95
zipf_theta = 0.99
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
if common['tag'] in ('gc', 'backoff', 'factor'):
# TPCC
tpcc = dict(common)
tx_count = 200000
tpcc.update({ 'bench': 'TPCC', 'tx_count': tx_count })
warehouse_count = 1
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
warehouse_count = 4
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
# if common['tag'] == 'gc':
# warehouse_count = 1
# tpcc.update({ 'warehouse_count': warehouse_count })
# yield dict(tpcc)
# if common['tag'] in ('gc', 'factor'):
if common['tag'] in ('gc',):
warehouse_count = max_thread_count
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
# TPCC-FULL
tpcc = dict(common)
tx_count = 200000
tpcc.update({ 'bench': 'TPCC-FULL', 'tx_count': tx_count })
warehouse_count = 1
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
warehouse_count = 4
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
# if common['tag'] == 'gc':
# warehouse_count = 1
# tpcc.update({ 'warehouse_count': warehouse_count })
# yield dict(tpcc)
# if common['tag'] in ('gc', 'factor'):
if common['tag'] in ('gc',):
warehouse_count = max_thread_count
tpcc.update({ 'warehouse_count': warehouse_count })
yield dict(tpcc)
tag = 'backoff'
# for alg in ['MICA', 'SILO', 'TICTOC']:
# for alg in ['MICA', 'MICA+INDEX', 'SILO', 'TICTOC']:
# for alg in ['MICA', 'MICA+INDEX']:
for alg in ['MICA+INDEX']:
thread_count = max_thread_count
#for backoff in [round(1.25 ** v - 1.0, 2) for v in range(24)]:
for backoff in [round(1.25 ** v - 1.0, 2) for v in range(16)]:
common = { 'seq': seq, 'tag': tag, 'alg': alg, 'thread_count': thread_count, 'fixed_backoff': backoff }
for exp in _common_exps(common): yield exp
for tag in factors:
# for alg in ['MICA', 'MICA+INDEX']:
for alg in ['MICA+INDEX']:
thread_count = max_thread_count
for i in range(7):
common = { 'seq': seq, 'tag': tag, 'alg': alg, 'thread_count': thread_count }
# if i >= 1: common['no_wsort'] = 1
# if i >= 2: common['no_preval'] = 1
# if i >= 3: common['no_newest'] = 1
# if i >= 4: common['no_wait'] = 1
# if i >= 5: common['no_tscboost'] = 1
# if i >= 6: common['no_tsc'] = 1
#
# for exp in _common_exps(common): yield exp
common = { 'seq': seq, 'tag': tag, 'alg': alg, 'thread_count': thread_count }
if i == 1: common['no_wsort'] = 1
if i == 2: common['no_preval'] = 1
if i == 3: common['no_newest'] = 1
if i == 4: common['no_wait'] = 1
if i == 5: common['no_tscboost'] = 1
if i == 6: common['no_tsc'] = 1
for exp in _common_exps(common): yield exp
tag = 'gc'
# for alg in ['MICA', 'MICA+INDEX']:
for alg in ['MICA+INDEX']:
thread_count = max_thread_count
for slow_gc in [1, 2, 4,
10, 20, 40,
100, 200, 400,
1000, 2000, 4000,
10000, 20000, 40000,
100000]:
common = { 'seq': seq, 'tag': tag, 'alg': alg, 'thread_count': thread_count, 'slow_gc': slow_gc }
for exp in _common_exps(common): yield exp
tag = 'native-scan'
for alg in ['MICA+INDEX']:
for thread_count in [max_thread_count]:
common = { 'seq': seq, 'tag': tag, 'alg': alg, 'thread_count': thread_count }
# YCSB
ycsb = dict(common)
total_count = 10 * 1000 * 1000
ycsb.update({ 'bench': 'YCSB', 'total_count': total_count })
for max_scan_len in [100]:
for record_size in [10, 100, 1000]:
req_per_query = 1
tx_count = 200000
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
ycsb.update({ 'max_scan_len': max_scan_len })
# if record_size in [10, 100]:
# ycsb.update({ 'column_count': 1 })
read_ratio = 0.95
zipf_theta = 0.99
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
ycsb.update({ 'no_inlining': 1 })
yield dict(ycsb)
del ycsb['no_inlining']
# if record_size in [10, 100]:
# del ycsb['column_count']
tag = 'native-full-table-scan'
for alg in ['MICA+INDEX']:
for thread_count in [max_thread_count]:
common = { 'seq': seq, 'tag': tag, 'alg': alg, 'thread_count': thread_count }
# YCSB
ycsb = dict(common)
total_count = 10 * 1000 * 1000
ycsb.update({ 'bench': 'YCSB', 'total_count': total_count })
for record_size in [10, 100, 1000]:
req_per_query = 1
tx_count = 20
ycsb.update({ 'record_size': record_size, 'req_per_query': req_per_query, 'tx_count': tx_count })
ycsb.update({ 'full_table_scan': 1 })
# if record_size in [10, 100]:
# ycsb.update({ 'column_count': 1 })
read_ratio = 0.95
zipf_theta = 0.99
ycsb.update({ 'read_ratio': read_ratio, 'zipf_theta': zipf_theta })
yield dict(ycsb)
ycsb.update({ 'no_inlining': 1 })
yield dict(ycsb)
del ycsb['no_inlining']
# if record_size in [10, 100]:
# del ycsb['column_count']
def update_conf(conf, exp):
conf = set_alg(conf, **exp)
conf = set_threads(conf, **exp)
if exp['bench'] == 'YCSB':
conf = set_ycsb(conf, **exp)
elif exp['bench'] in ('TPCC', 'TPCC-FULL'):
conf = set_tpcc(conf, **exp)
elif exp['bench'] == 'TATP':
conf = set_tatp(conf, **exp)
else: assert False
if exp['alg'].startswith('MICA') or exp['tag'] == 'backoff':
conf = set_mica_confs(conf, **exp)
return conf
def sort_exps(exps):
def _exp_pri(exp):
pri = 0
# prefer microbench
if exp['tag'] == 'gc': pri -= 2
if exp['tag'] == 'backoff': pri -= 2
# then macrobench
if exp['tag'] == 'macrobench': pri -= 1
# factor analysis is not prioritized
# prefer fast schemes
if exp['alg'] == 'MICA': pri -= 2
if exp['alg'] == 'MICA+INDEX': pri -= 2
# if exp['alg'].startswith('MICA'): pri -= 2
if exp['alg'] == 'SILO' or exp['alg'] == 'TICTOC': pri -= 1
# prefer max cores
if exp['thread_count'] in (max_thread_count, max_thread_count * 2): pri -= 1
# prefer write-intensive workloads
if exp['bench'] == 'YCSB' and exp['read_ratio'] == 0.50: pri -= 1
# prefer standard skew
if exp['bench'] == 'YCSB' and exp['zipf_theta'] in (0.00, 0.90, 0.99): pri -= 1
# prefer (warehouse count) = (thread count)
if exp['bench'].startswith('TPCC') and exp['thread_count'] == exp['warehouse_count']: pri -= 1
# prefer standard warehouse counts
if exp['bench'].startswith('TPCC') and exp['warehouse_count'] in (1, 4, 16, max_thread_count, max_thread_count * 2): pri -= 1
# run exps in their sequence number
return (exp['seq'], pri)
exps = list(exps)
exps.sort(key=_exp_pri)
return exps
def unique_exps(exps):
l = []
for exp in exps:
if exp in l: continue
assert exp['alg'] in hugepage_count
l.append(exp)
return l
def skip_done(exps):
for exp in exps:
if os.path.exists(dir_name + '/' + gen_filename(exp)): continue
if os.path.exists(dir_name + '/' + gen_filename(exp) + '.failed-0'): continue
# if exp['alg'] == 'MICA': continue
yield exp
def find_exps_to_run(exps, pats):
for exp in exps:
if pats:
for pat in pats:
key, _, value = pat.partition('@')
if key not in exp or str(exp[key]) != value:
break
else:
yield exp
else:
yield exp
def validate_result(exp, output):
if exp['alg'].find('-REF') != -1:
if exp['alg'].startswith('SILO') or exp['alg'].startswith('ERMIA'):
return output.find('txn breakdown: ') != -1
elif exp['alg'].startswith('FOEDUS'):
return output.find('final result:') != -1 and \
output.find('total pages, 0 free pages') == -1
else:
assert False
elif not exp['tag'].startswith('native-'):
return output.find('[summary] tput=') != -1
else:
return output.find('cleaning up') != -1
def killall():
# DBx1000
os.system('sudo killall rundb 2> /dev/null')
# native MICA
os.system('sudo killall test_tx 2> /dev/null')
# SILO-REF
os.system('sudo killall dbtest 2> /dev/null')
# ERMIA-REF
os.system('sudo killall dbtest-SI 2> /dev/null')
os.system('sudo killall dbtest-SSI 2> /dev/null')
os.system('sudo killall dbtest-SI_SSN 2> /dev/null')
# FOEDUS-REF
os.system('sudo killall tpcc 2> /dev/null')
def make_silo_cmd(exp):
cmd = 'silo/out-perf.masstree/benchmarks/dbtest'
cmd += ' --verbose'
cmd += ' --parallel-loading'
cmd += ' --pin-cpus'
cmd += ' --retry-aborted-transactions'
if exp['alg'].find('-BACKOFF') != -1:
cmd += ' --backoff-aborted-transactions' # Better for 1 warehouse (> 1000 Tps), worse for 4+ warehouses for TPC-C
cmd += ' --num-threads %d' % exp['thread_count']
# cmd += ' --ops-per-worker %d' % exp['tx_count']
cmd += ' --numa-memory %dG' % int(int(hugepage_count[exp['alg']] * 0.99) * 2 / 1024)
if exp['bench'] == 'TPCC-FULL':
cmd += ' --runtime 20' # Can run for 30 seconds but for consistency
cmd += ' --bench tpcc'
cmd += ' --scale-factor %d' % exp['warehouse_count']
cmd += ' --bench-opts="--enable-separate-tree-per-partition"'
elif exp['bench'] == 'YCSB':
assert exp['record_size'] == 100
cmd += ' --max-runtime 20' # Same as above
cmd += ' --ops-per-worker %d' % exp['tx_count']
cmd += ' --bench ycsb'
cmd += ' --bench-opts='
cmd += '"--workload=0,0,100,0'
cmd += ' --initial-table-size=%d' % exp['total_count']
cmd += ' --zipf-theta=%f' % exp['zipf_theta']
cmd += ' --reps-per-tx=%d' % exp['req_per_query']
cmd += ' --rmw-additional-reads=0'
cmd += ' --rmw-read-ratio=%f' % exp['read_ratio']
cmd += '"'
else: assert False
return cmd
def make_ermia_cmd(exp):
tmpfs_dir = '/tmpfs'
log_dir = '/tmpfs/ermia-log'
if not os.path.exists(tmpfs_dir):
os.system('sudo ln -s /run/shm /tmpfs')
if os.path.exists(log_dir):
shutil.rmtree(log_dir)
os.mkdir(log_dir)
# --parallel-loading seems to be broken
# --ops-per-worker is somehow very slow
if exp['alg'].find('-SI_SSN') != -1:
cmd = 'ermia/dbtest-SI_SSN'
elif exp['alg'].find('-SSI') != -1:
cmd = 'ermia/dbtest-SSI'
elif exp['alg'].find('-SI') != -1:
cmd = 'ermia/dbtest-SI'
else: assert False
cmd += ' --verbose'
# cmd += ' --parallel-loading' # Broken
cmd += ' --retry-aborted-transactions'
if exp['alg'].find('-BACKOFF') != -1:
# Broken; this creates zero throughput when warehouse count < thread count
# cmd += ' --backoff-aborted-transactions'
pass
assert False
# cmd += ' --ops-per-worker %d' % exp['tx_count']
cmd += ' --node-memory-gb %d' % int(hugepage_count[exp['alg']] * 2 / 1024 / node_count * 0.99)
# cmd += ' --enable-gc' # throughput decreases substantially (down to 20-50%) if the experiment runs more than 10 seconds
cmd += ' --tmpfs-dir %s' % tmpfs_dir
cmd += ' --log-dir %s' % log_dir
cmd += ' --log-buffer-mb 512'
cmd += ' --log-segment-mb 8192'
cmd += ' --null-log-device'
cmd += ' --num-threads %d' % exp['thread_count']
if exp['bench'] == 'TPCC-FULL':
cmd += ' --runtime 15' # ERMIA requires more memory than Silo, so it is unreliable to run it for 30 seconds
cmd += ' --bench tpcc'
cmd += ' --scale-factor %d' % exp['warehouse_count']
# safe snapshots seem to decrease tput a lot even though R/O transactions
# are not aborted
#if exp['alg'].find('SSN') != -1 or exp['alg'].find('SSI') != -1:
# cmd += ' --safesnap'
if exp['warehouse_count'] > exp['thread_count']:
# cmd += ' --bench-opts="--enable-separate-tree-per-partition --warehouse-spread=100"' # Causes zero throughput
cmd += ' --bench-opts="--warehouse-spread=100"'
else:
# cmd += ' --bench-opts="--enable-separate-tree-per-partition"' # Disabled for consistency (also not supported by devs)
pass
elif exp['bench'] == 'YCSB':
assert exp['record_size'] == 100
cmd += ' --max-runtime 20' # Same as Silo; YCSB uses less memory
cmd += ' --ops-per-worker %d' % exp['tx_count']
cmd += ' --bench ycsb'
cmd += ' --bench-opts='
cmd += '"--workload=F'
cmd += ' --initial-table-size=%d' % exp['total_count']
cmd += ' --zipf-theta=%f' % exp['zipf_theta']
cmd += ' --reps-per-tx=%d' % exp['req_per_query']
cmd += ' --rmw-additional-reads=0'
cmd += ' --rmw-read-ratio=%f' % exp['read_ratio']
cmd += '"'
else: assert False
return cmd
def make_foedus_cmd(exp):
assert exp['thread_count'] >= 4
os.system('sudo sysctl -q -w kernel.shmmax=9223372036854775807')
os.system('sudo sysctl -q -w kernel.shmall=1152921504606846720')
os.system('sudo sysctl -q -w kernel.shmmni=409600')
os.system('sudo sysctl -q -w vm.max_map_count=2147483647')
os.system('sudo sh -c "grep \"^hugeshm\" /etc/group|cut -d: -f3| cat > /proc/sys/vm/hugetlb_shm_group"')
os.system('rm -rf /dev/shm/foedus_tpcc/')
os.system('rm -rf /tmp/libfoedus.*')
# based on
# foedus_code/build/experiments-core/src/foedus/tpcc/run_common.sh
# .../run_dl580.sh
# foedus_code/build/experiments-core/src/foedus/ycsb/run_common.sh
# .../run_dl580.sh
# see tpcc_driver.cpp, ycsb_driver.cpp for options
cmd = 'env CPUPROFILE_FREQUENCY=1'
if exp['bench'] == 'TPCC-FULL':
cmd += ' foedus_code/build/experiments-core/src/foedus/tpcc/tpcc'
elif exp['bench'] == 'YCSB':
cmd += ' foedus_code/build/experiments-core/src/foedus/ycsb/ycsb_hash'
else: assert False
cmd += ' -fork_workers=false' # forking seems to ignore thread count limit
cmd += ' -nvm_folder=/dev/shm'
cmd += ' -volatile_pool_size=20' # this determines overall memory use
cmd += ' -snapshot_pool_size=2'
cmd += ' -reducer_buffer_size=1'
cmd += ' -loggers_per_node=2'
if exp['thread_count'] == 1:
cmd += ' -thread_per_node=1'
cmd += ' -numa_nodes=1'
else:
cmd += ' -thread_per_node=%d' % (exp['thread_count'] // node_count)
cmd += ' -numa_nodes=%d' % node_count
cmd += ' -log_buffer_mb=1024'
cmd += ' -null_log_device=true' # no logging