keys.append(906659671 + i)
insert_time_1 = process_time()
print("Inserting 10k records took: \t\t\t", insert_time_1 - insert_time_0)
# Measuring update Performance
update_cols = [
[randrange(0, 100), None, None, None, None],
[None, randrange(0, 100), None, None, None],
[None, None, randrange(0, 100), None, None],
[None, None, None, randrange(0, 100), None],
[None, None, None, None, randrange(0, 100)],
]
t = Transaction()
t.add_query(query.update, choice(keys), *choice(update_cols))
t.run()
exit()
update_time_0 = process_time()
for i in range(0, 10000):
query.update(choice(keys), *(choice(update_cols)))
update_time_1 = process_time()
print("Updating 10k records took: \t\t\t", update_time_1 - update_time_0)
# Measuring Select Performance
select_time_0 = process_time()
for i in range(0, 10000):
query.select(choice(keys), [1, 1, 1, 1, 1])
select_time_1 = process_time()
# Create transactions and assign them to workers
transactions = []
transaction_workers = []
for i in range(num_threads):
transaction_workers.append(TransactionWorker())
for i in range(10000):
key = choice(keys)
record = records[key]
c = record[1]
transaction = Transaction()
for i in range(5):
c += 1
q = Query(grades_table)
transaction.add_query(q.select, key, 0, [1, 1, 1, 1, 1])
q = Query(grades_table)
transaction.add_query(q.update, key, *[None, c, None, None, None])
transaction_workers[i % num_threads].add_transaction(transaction)
threads = []
for transaction_worker in transaction_workers:
threads.append(threading.Thread(target=transaction_worker.run, args = ()))
for thread in threads:
thread.start()
for thread in threads:
thread.join()
num_committed_transactions = sum(t.result for t in transaction_workers)
insert_time_1 = process_time()
print("Inserting 10k records took: \t\t\t", insert_time_1 - insert_time_0)
# Measuring update Performance
update_cols = [
[randrange(0, 100), None, None, None, None],
[None, randrange(0, 100), None, None, None],
[None, None, randrange(0, 100), None, None],
[None, None, None, randrange(0, 100), None],
[None, None, None, None, randrange(0, 100)],
]
t = Transaction()
key = choice(keys)
t.add_query(query.update, key, *choice(update_cols))
t.add_query(query.select, key, 0, [1, 1, 1, 1, 1])
t.run()
exit()
update_time_0 = process_time()
for i in range(0, 10000):
query.update(choice(keys), *(choice(update_cols)))
update_time_1 = process_time()
print("Updating 10k records took: \t\t\t", update_time_1 - update_time_0)
# Measuring Select Performance
select_time_0 = process_time()
for i in range(0, 10000):
query.select(choice(keys), [1, 1, 1, 1, 1])
q.insert(*records[key])
# create TransactionWorkers
transaction_workers = []
for i in range(num_threads):
transaction_workers.append(TransactionWorker([]))
# generates 10k random transactions
# each transaction will increment the first column of a record 5 times
for i in range(10000):
k = randint(0, 2000 - 1)
transaction = Transaction(q)
for j in range(5):
key = keys[k * 5 + j]
q = Query(grades_table)
transaction.add_query(q.select, key, 0, [1, 1, 1, 1, 1])
q = Query(grades_table)
transaction.add_query(q.increment, key, 1)
transaction_workers[i % num_threads].add_transaction(transaction)
threads = []
for transaction_worker in transaction_workers:
threads.append(threading.Thread(target=transaction_worker.run, args=()))
for i, thread in enumerate(threads):
print('Thread', i, 'started')
thread.start()
for i, thread in enumerate(threads):
thread.join()
print('Thread', i, 'finished')
# l = Logger("log")
# l.write(1,"w",0,5)
# l.write(2,"u",5,50)
# l.write(2,"u",3,90)
# l.write(3,"u",9,50)
# print("reading all the lines from newest to oldest")
# l.read()
# print("reading all the lines of thread id 2")
# print(l.read_tid(2))
db = Database()
grades_table = db.create_table('Grades', 5, 0)
#populate the table
q = Query(grades_table)
# print(inspect.getfullargspec(q.update))
t1 = Transaction()
t2 = Transaction()
t3 = Transaction()
t3.add_query(q.update, 1, *[6, 7, 8, 9, 10])
t1.add_query(q.insert, *[1, 2, 3, 4, 5])
t1.add_query(q.insert, *[0, 1, 2, 2, 5])
t2.add_query(q.insert, *[6, 7, 8, 9, 10])
t3.add_query(q.insert, *[6, 7, 8, 9, 10])
t3.add_query(q.insert, *[6, 7, 8, 9, 10])
txn_worker = TransactionWorker([t1, t2, t3])
th1 = threading.Thread(target=txn_worker.run)
th1.start()
# l = Logger("log")