def loadItems(self):
## Select 10% of the rows to be marked "original"
originalRows = rand.selectUniqueIds(self.scaleParameters.items / 10, 1, self.scaleParameters.items)
## Load all of the items
tuples = [ ]
total_tuples = 0
for i in range(1, self.scaleParameters.items+1):
original = (i in originalRows)
tuples.append(self.generateItem(i, original))
total_tuples += 1
if len(tuples) == self.batch_size:
logging.debug("LOAD - %s: %5d / %d" % (constants.TABLENAME_ITEM, total_tuples, self.scaleParameters.items))
self.handle.loadTuples(constants.TABLENAME_ITEM, tuples)
tuples = [ ]
## FOR
if len(tuples) > 0:
logging.debug("LOAD - %s: %5d / %d" % (constants.TABLENAME_ITEM, total_tuples, self.scaleParameters.items))
self.handle.loadTuples(constants.TABLENAME_ITEM, tuples)
def loadItems(self):
## Select 10% of the rows to be marked "original"
originalRows = rand.selectUniqueIds(self.scaleParameters.items / 10, 1,
self.scaleParameters.items)
## Load all of the items
tuples = []
total_tuples = 0
for i in range(1, self.scaleParameters.items + 1):
original = (i in originalRows)
tuples.append(self.generateItem(i, original))
total_tuples += 1
if len(tuples) == self.batch_size:
logging.debug("LOAD - %s: %5d / %d" %
(constants.TABLENAME_ITEM, total_tuples,
self.scaleParameters.items))
self.handle.loadTuples(constants.TABLENAME_ITEM, tuples)
tuples = []
## FOR
if len(tuples) > 0:
logging.debug("LOAD - %s: %5d / %d" %
(constants.TABLENAME_ITEM, total_tuples,
self.scaleParameters.items))
self.handle.loadTuples(constants.TABLENAME_ITEM, tuples)
def loadWarehouse(self, w_id):
logging.debug("LOAD - %s: %d / %d" %
(constants.TABLENAME_WAREHOUSE, w_id, len(self.w_ids)))
## WAREHOUSE
w_tuples = [self.generateWarehouse(w_id)]
self.handle.loadTuples(constants.TABLENAME_WAREHOUSE, w_tuples)
## DISTRICT
d_tuples = []
for d_id in range(1, self.scaleParameters.districtsPerWarehouse + 1):
d_next_o_id = self.scaleParameters.customersPerDistrict + 1
d_tuples = [self.generateDistrict(w_id, d_id, d_next_o_id)]
c_tuples = []
h_tuples = []
## Select 10% of the customers to have bad credit
selectedRows = rand.selectUniqueIds(
self.scaleParameters.customersPerDistrict / 10, 1,
self.scaleParameters.customersPerDistrict)
## TPC-C 4.3.3.1. says that o_c_id should be a permutation of [1, 3000]. But since it
## is a c_id field, it seems to make sense to have it be a permutation of the
## customers. For the "real" thing this will be equivalent
cIdPermutation = []
for c_id in range(1,
self.scaleParameters.customersPerDistrict + 1):
badCredit = (c_id in selectedRows)
c_tuples.append(
self.generateCustomer(w_id, d_id, c_id, badCredit, True))
h_tuples.append(self.generateHistory(w_id, d_id, c_id))
cIdPermutation.append(c_id)
## FOR
assert cIdPermutation[0] == 1
assert cIdPermutation[
self.scaleParameters.customersPerDistrict -
1] == self.scaleParameters.customersPerDistrict
shuffle(cIdPermutation)
o_tuples = []
ol_tuples = []
no_tuples = []
for o_id in range(1, self.scaleParameters.customersPerDistrict):
o_ol_cnt = rand.number(constants.MIN_OL_CNT,
constants.MAX_OL_CNT)
## The last newOrdersPerDistrict are new orders
newOrder = ((self.scaleParameters.customersPerDistrict -
self.scaleParameters.newOrdersPerDistrict) < o_id)
o_tuples.append(
self.generateOrder(w_id, d_id, o_id,
cIdPermutation[o_id - 1], o_ol_cnt,
newOrder))
## Generate each OrderLine for the order
for ol_number in range(0, o_ol_cnt):
ol_tuples.append(
self.generateOrderLine(w_id, d_id, o_id, ol_number,
self.scaleParameters.items,
newOrder))
## FOR
## This is a new order: make one for it
if newOrder: no_tuples.append([o_id, d_id, w_id])
## FOR
self.handle.loadTuples(constants.TABLENAME_DISTRICT, d_tuples)
self.handle.loadTuples(constants.TABLENAME_CUSTOMER, c_tuples)
self.handle.loadTuples(constants.TABLENAME_ORDERS, o_tuples)
self.handle.loadTuples(constants.TABLENAME_ORDER_LINE, ol_tuples)
self.handle.loadTuples(constants.TABLENAME_NEW_ORDER, no_tuples)
self.handle.loadTuples(constants.TABLENAME_HISTORY, h_tuples)
self.handle.loadFinishDistrict(w_id, d_id)
## FOR
## Select 10% of the stock to be marked "original"
s_tuples = []
selectedRows = rand.selectUniqueIds(self.scaleParameters.items / 10, 1,
self.scaleParameters.items)
total_tuples = 0
for i_id in range(1, self.scaleParameters.items + 1):
original = (i_id in selectedRows)
s_tuples.append(self.generateStock(w_id, i_id, original))
total_tuples += 1
if len(s_tuples) >= self.batch_size:
logging.debug("LOAD - %s [W_ID=%d]: %5d / %d" %
(constants.TABLENAME_STOCK, w_id, total_tuples,
self.scaleParameters.items))
self.handle.loadTuples(constants.TABLENAME_STOCK, s_tuples)
s_tuples = []
## FOR
if len(s_tuples) > 0:
logging.debug("LOAD - %s [W_ID=%d]: %5d / %d" %
(constants.TABLENAME_STOCK, w_id, total_tuples,
self.scaleParameters.items))
self.handle.loadTuples(constants.TABLENAME_STOCK, s_tuples)
def loadWarehouse(self, w_id):
logging.debug("LOAD - %s: %d / %d" % (constants.TABLENAME_WAREHOUSE, w_id, len(self.w_ids)))
## WAREHOUSE
w_tuples = [ self.generateWarehouse(w_id) ]
self.handle.loadTuples(constants.TABLENAME_WAREHOUSE, w_tuples)
## DISTRICT
d_tuples = [ ]
for d_id in range(1, self.scaleParameters.districtsPerWarehouse+1):
d_next_o_id = self.scaleParameters.customersPerDistrict + 1
d_tuples = [ self.generateDistrict(w_id, d_id, d_next_o_id) ]
c_tuples = [ ]
h_tuples = [ ]
## Select 10% of the customers to have bad credit
selectedRows = rand.selectUniqueIds(self.scaleParameters.customersPerDistrict / 10, 1, self.scaleParameters.customersPerDistrict)
## TPC-C 4.3.3.1. says that o_c_id should be a permutation of [1, 3000]. But since it
## is a c_id field, it seems to make sense to have it be a permutation of the
## customers. For the "real" thing this will be equivalent
cIdPermutation = [ ]
for c_id in range(1, self.scaleParameters.customersPerDistrict+1):
badCredit = (c_id in selectedRows)
c_tuples.append(self.generateCustomer(w_id, d_id, c_id, badCredit, True))
h_tuples.append(self.generateHistory(w_id, d_id, c_id))
cIdPermutation.append(c_id)
## FOR
assert cIdPermutation[0] == 1
assert cIdPermutation[self.scaleParameters.customersPerDistrict - 1] == self.scaleParameters.customersPerDistrict
shuffle(cIdPermutation)
o_tuples = [ ]
ol_tuples = [ ]
no_tuples = [ ]
for o_id in range(1, self.scaleParameters.customersPerDistrict):
o_ol_cnt = rand.number(constants.MIN_OL_CNT, constants.MAX_OL_CNT)
## The last newOrdersPerDistrict are new orders
newOrder = ((self.scaleParameters.customersPerDistrict - self.scaleParameters.newOrdersPerDistrict) < o_id)
o_tuples.append(self.generateOrder(w_id, d_id, o_id, cIdPermutation[o_id - 1], o_ol_cnt, newOrder))
## Generate each OrderLine for the order
for ol_number in range(0, o_ol_cnt):
ol_tuples.append(self.generateOrderLine(w_id, d_id, o_id, ol_number, self.scaleParameters.items, newOrder))
## FOR
## This is a new order: make one for it
if newOrder: no_tuples.append([o_id, d_id, w_id])
## FOR
self.handle.loadTuples(constants.TABLENAME_DISTRICT, d_tuples)
self.handle.loadTuples(constants.TABLENAME_CUSTOMER, c_tuples)
self.handle.loadTuples(constants.TABLENAME_ORDERS, o_tuples)
self.handle.loadTuples(constants.TABLENAME_ORDER_LINE, ol_tuples)
self.handle.loadTuples(constants.TABLENAME_NEW_ORDER, no_tuples)
self.handle.loadTuples(constants.TABLENAME_HISTORY, h_tuples)
self.handle.loadFinishDistrict(w_id, d_id)
## FOR
## Select 10% of the stock to be marked "original"
s_tuples = [ ]
selectedRows = rand.selectUniqueIds(self.scaleParameters.items / 10, 1, self.scaleParameters.items)
total_tuples = 0
for i_id in range(1, self.scaleParameters.items+1):
original = (i_id in selectedRows)
s_tuples.append(self.generateStock(w_id, i_id, original))
total_tuples += 1
if len(s_tuples) >= self.batch_size:
logging.debug("LOAD - %s [W_ID=%d]: %5d / %d" % (constants.TABLENAME_STOCK, w_id, total_tuples, self.scaleParameters.items))
self.handle.loadTuples(constants.TABLENAME_STOCK, s_tuples)
s_tuples = [ ]
## FOR
if len(s_tuples) > 0:
logging.debug("LOAD - %s [W_ID=%d]: %5d / %d" % (constants.TABLENAME_STOCK, w_id, total_tuples, self.scaleParameters.items))
self.handle.loadTuples(constants.TABLENAME_STOCK, s_tuples)
