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extended_olken.py
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from sampling import Sampling
import copy
import time
class ExtendedOlkenSampling(Sampling):
def __init__(self, db_file, popular_user_file, twitter_user_file):
super(ExtendedOlkenSampling, self).__init__(db_file, popular_user_file, twitter_user_file)
self.W = None
def get_frequency(self, popular_save_file, twitter_save_file):
pu_tuple = {}
tu_tuple = {}
tf = open(twitter_save_file, "w+", encoding="utf8")
with open(popular_save_file, "w+", encoding="utf8") as f:
pu_frequency = self.conn.execute("SELECT source, SUM(count) FROM Popular_user GROUP BY source")
tu_frequency = self.conn.execute("SELECT source, SUM(count) FROM Twitter_user GROUP BY source")
for result in pu_frequency:
pu_tuple[result[0]] = result[1]
f.write(str(result[0])+" "+str(result[1])+"\n")
for result in tu_frequency:
tu_tuple[result[0]] = result[1]
tf.write(str(result[0]) + " " + str(result[1])+"\n")
return pu_tuple, tu_tuple
def load_frequency(self, popular_save_file, twitter_save_file):
pu_tuple = {}
tu_tuple = {}
with open(popular_save_file, "r", encoding="utf8") as f:
for line in f:
a, b = line.strip().split()
pu_tuple[int(a)] = int(b)
with open(twitter_save_file, "r", encoding="utf8") as f:
for line in f:
a, b = line.strip().split()
tu_tuple[int(a)] = int(b)
return pu_tuple, tu_tuple
def AGM_bound(self, lengths):
#bound = lengths[0]*lengths[len(lengths)-1]
bound = lengths[len(lengths) - 1]
min_num = float("inf")
if len(lengths) > 2:
for i in range(1, len(lengths)-1):
if min_num > lengths[i]:
min_num = lengths[i]
bound *= min_num
return bound
def olken_bound(self, frequency):
bound = 1.
for fre in frequency:
bound *= fre
return bound
def combined_method(self, table_names, pu_frequencies,
pu_table_lengths, tu_frequencies, tu_table_lengths):
W = 0
for i in range(2**len(table_names)):
#length = [first_length]
#frequency = [first_length]
length = []
frequency = []
k = str(bin(i))[2:]
if len(k) < len(table_names):
for i in range(len(table_names)-len(k)):
k = str(0) + k
for j, table_name in enumerate(table_names):
if table_name == "Twitter_user":
length.append(tu_table_lengths[int(k[j])])
frequency.append(tu_frequencies[int(k[j])])
else:
length.append(pu_table_lengths[int(k[j])])
frequency.append(pu_frequencies[int(k[j])])
ob = self.olken_bound(frequency)
agmb = self.AGM_bound(length)
if ob > agmb:
W += agmb
else:
W += ob
return W
def extended_olken(self, h, popular_save_file, twitter_save_file, join_order):
'''self.conn.execute("CREATE INDEX Popular_user_index ON Popular_user(source)")
self.conn.execute("CREATE INDEX Twitter_user_index ON Twitter_user(source)")'''
print("开始计算W值...")
W = []
pu_tuple, tu_tuple = self.load_frequency(popular_save_file, twitter_save_file)
max_pu_frequency, max_tu_frequency = max(pu_tuple.values()), max(tu_tuple.values())
tu_heavy_length = 0
pu_heavy_length = 0
tu_light_length = 0
pu_light_length = 0
tu_light_frequency = h
pu_light_frequency = h
for k, t in tu_tuple.items():
if t < h:
'''if t > tu_light_frequency:
tu_light_frequency = t'''
fr = self.conn.execute("SELECT COUNT(*) FROM Twitter_user WHERE source={}".format(k))
for r in fr:
tu_light_length += r[0]
else:
fr = self.conn.execute("SELECT COUNT(*) FROM Twitter_user WHERE source={}".format(k))
for r in fr:
tu_heavy_length += r[0]
for k, t in pu_tuple.items():
if t < h:
'''if t > pu_light_frequency:
pu_light_frequency = t'''
fr = self.conn.execute("SELECT COUNT(*) FROM Popular_user WHERE source={}".format(k))
for r in fr:
pu_light_length += r[0]
else:
fr = self.conn.execute("SELECT COUNT(*) FROM Popular_user WHERE source={}".format(k))
for r in fr:
pu_heavy_length += r[0]
pu_frequencies = [max_pu_frequency, pu_light_frequency]
tu_frequencies = [max_tu_frequency, tu_light_frequency]
pu_table_lengths = [pu_heavy_length, pu_light_length]
tu_table_lengths = [tu_heavy_length, tu_light_length]
fr = self.conn.execute("SELECT COUNT(*) FROM " + join_order[0])
first_length = None
for result in fr:
first_length = result[0]
other_order = join_order[1:len(join_order)]
'''w = self.combined_method(first_length, other_order, pu_frequencies,
pu_table_lengths, tu_frequencies, tu_table_lengths)'''
w = self.combined_method(other_order, pu_frequencies,
pu_table_lengths, tu_frequencies, tu_table_lengths)
W.append({self.r0: w*first_length})
for i in range(len(join_order)-2):
W_set = {}
ts = self.conn.execute("SELECT * FROM " + join_order[i])
other_order = join_order[i + 2:len(join_order)]
w = self.combined_method(other_order, pu_frequencies,
pu_table_lengths, tu_frequencies, tu_table_lengths)
for j, result in enumerate(ts):
fr = self.conn.execute(
"SELECT COUNT(*) FROM " + join_order[i + 1] + " WHERE source=" + str(result[1]))
for r in fr:
first_length = r[0]
'''other_order = join_order[i + 2:len(join_order)]
w = self.combined_method(first_length, other_order, pu_frequencies,
pu_table_lengths, tu_frequencies, tu_table_lengths)'''
W_set[(result[0], result[1])] = w*first_length
W.append(W_set)
ts = self.conn.execute("SELECT * FROM " + join_order[len(join_order)-2])
W_set = {}
for result in ts:
fr = self.conn.execute("SELECT COUNT(*) FROM " + join_order[len(join_order)-1]
+ " WHERE source=" + str(result[1]))
for r in fr:
first_length = r[0]
W_set[(result[0], result[1])] = first_length
W.append(W_set)
ts = self.conn.execute("SELECT * FROM " + join_order[len(join_order)-1])
W_set = {}
for result in ts:
W_set[(result[0], result[1])] = 1
W.append(W_set)
self.W = W
return W
def sampling(self, sample_num, join_order, h, popular_save_file, twitter_save_file):
t1 = 0
t2 = 0
if self.W is None:
t1 = time.process_time()
W = self.extended_olken(h, popular_save_file, twitter_save_file,
join_order)
t2 = time.process_time()
else:
W = copy.deepcopy(self.W)
samples = set({})
print("开始进行sample的计算...")
i = 0
while i < sample_num:
S = self.chain_join_sampling(join_order, W)
if S is not None:
i += 1
return t2-t1
#return samples
if __name__ == "__main__":
a = ExtendedOlkenSampling("twitter_combined.db", "popular_frequency.txt", "twitter_frequency.txt")
s = a.sampling(10, ["Popular_user", "Twitter_user", "Twitter_user"], 600, "popular_frequency.txt", "twitter_frequency.txt")
print(s)