from template.db import Database
from template.query import Query
from template.transaction import Transaction
from template.transaction_worker import TransactionWorker
from template.config import init
from template.lock_manager_config import *
from random import choice, randint, sample, seed
# TESTING REMOVEAL ABORT
init()
db = Database()
db.open('./ECS165')
grades_table = db.create_table('Grades', 5, 0)
keys = []
records = {}
seed(3562901)
num_threads = 4
try:
grades_table.index.create_index(1)
grades_table.index.create_index(2)
grades_table.index.create_index(3)
grades_table.index.create_index(4)
except Exception as e:
print('Index API not implemented properly, tests may fail.')
transaction_workers = []
insert_transactions = []
select_transactions = []
update_transactions = []
from template.db import Database
from template.query import Query
from time import process_time
from random import choice, randrange
# Student Id and 4 grades
db = Database()
grades_table = db.create_table('Grades', 0, 5)
query = Query(grades_table)
keys = []
insert_time_0 = process_time()
for i in range(0, 10000):
query.insert(906659671 + i, 93, 0, 0, 0)
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)],
]
update_time_0 = process_time()
for i in range(0, 10000):
query.update(choice(keys), *(choice(update_cols)))
from template.db import Database
database = Database()
grades_table = database.create_table('Grades', 5, 0)
# retValue = database.get_table('Grades')
# print(retValue)
# db_length = len(database.tables_directory)
# print(db_length)
sec_grades_table = database.create_table('Grades2', 5, 0)
retNewTable = database.get_table('Grades2')
print(retNewTable)
db_length2 = len(database.tables_directory)
print("Data base length:",db_length2)
print("Table name:",sec_grades_table.name)
print("Table key",sec_grades_table.Table_key)
print("Table columns:",sec_grades_table.num_columns)
print("Table page directory:",sec_grades_table.page_directory)
print("Table index:",sec_grades_table.index)
print("Table record directory:",sec_grades_table.record_directory)
print("Table prange:",sec_grades_table.prange_num)
print("Table free base rid:",sec_grades_table.free_brid)
print("Table free tail rid:",sec_grades_table.free_trid)
print("Before calling drop", len(database.tables_directory))
database.drop_table('Grades')
print("After calling drop", len(database.tables_directory))
from template.table import *
import pickle
import io
import os
from template.query import *
from random import choice, randint, sample, seed
from template.db import Database
from time import process_time
db = Database()
db.open('./ECS165')
newtable = db.create_table('nidaye', 5, 0)
query = Query(newtable)
keys = []
for i in range(0, 5):
query.insert(1 + i, 93, 0, 0, 0)
keys.append(1 + i)
# update_time_0 = process_time()
for i in range(0, 4):
up = [0, 94, 1, 1, 1]
query.update(1 + i, *up)
for i in range(0, 2):
up = [0, 95, 2, 1, 1]
query.update(1 + i, *up)
# query.update(906659671, 5, 5, 5, 5, 5)
# query.update(906659671, 5, 5, 5, 6, 5)
# query.update(906659671, 5, 2, 5, 6, 5)
records = query.select(95, 1, [1, 1, 1, 1, 1])
#query.update(9999,*update_data) #[9999, 4, 3, None, 1]
#query.update(9999,*update_data2) #[9999, 4, 2, 4, 1]
#query.update(9990, *update_data3) #[9990, 4, 2, None, 2]
#query.update(9999, *update_data4) #[9999, None, None, None, None]
# value = query.sum(4, 5, 1)
# # data = table.read_record(9999)
# print(value)
db = Database()
db.open('./ECS165')
os.mkdir('./ECS165/table1')
os.mkdir('./ECS165/table2')
f = open('./ECS165/table1/table1.pkl', 'wb')
# f = open('./ECS165/table1/table.pkl')
grades_table = db.create_table('table1', 5, 0)
# grades_table.index = None
query = Query(grades_table)
keys = []
insert_time_0 = process_time()
for i in range(0, 10):
query.insert(906659671 + i, 93, 0, 0, 0)
keys.append(906659671 + i)
# insert_time_1 = process_time()
indexFile = open('./ECS165/table1/table1_index.txt', 'w')
for node in grades_table.index.indices[0].iteritems():
# indexFile.write(str(node.key()))
key = node[0]
# print(key)
indexFile.write(str(key) + "+")
from template.db import Database
from template.query import Query
from template.index import *
import time
db = Database()
db.open("./ECS165")
grades_table = db.create_table('QueryTester', 5, 0)
#index = Index(grades_table)
query = Query(grades_table)
# print("Inserting 1M items")
for i in range(1_001):
query.insert(*[i, i, i + 1, i + 2, i + 3])
for record in query.select_range(500, 525, 0, [1, 1, 1, 1, 1]):
print(record.columns)
#query.insert(*[1, 2, 3, 4, 5]) # <-
#query.insert(*[1, 3, 4, 5, 6])
#query.insert(*[2, 1, 3, 3, 4])
# query.select(2, 1, [None, None, None, None, 1])[0].columns
#index.drop_index(1)
#print(query.select(2, 1, [1, 1, 1, 1, 1])[0].columns)
#print(query.select(4, 2, [1, None, None, None, None])[0].columns[0])
"""print(query.delete(1))
print(query.select(2, 1, [None, None, None, None, 1]))
print(query.select(3, 1, [None, None, None, None, 1]))
print(query.select(2,0,[None, None, None, None, 1]))"""
query.insert(*[42, 42, 3, 4, 5])
from template.db import Database
from template.query import Query
from time import process_time
from random import choice, randrange
# Student Id and 4 grades
db = Database()
grades_table = db.create_table('Grades', 5, 0) # Swapped the 0 and 5
query = Query(grades_table)
keys = []
insert_time_0 = process_time()
for i in range(0, 10000):
query.insert(906659671 + i, 93, 0, 0, 0)
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)],
]
update_time_0 = process_time()
for i in range(0, 10000):
query.update(choice(keys), *(choice(update_cols)))