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q_gen_generate_v2.py
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import json
import os
import random
import subprocess
import string
# set parameters
dirname = os.path.dirname(__file__)
dbgen_root = os.path.join(dirname, './../dbgen')
solution_root = os.path.join(dirname, './generate_solution')
# query_list = list(range(1, 23))
# select subset of queries
query_list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22]
output_folder = "resources/workloads/self_gen/"
file_name_prefix = "tpc_h"
file_extension = ".json"
file_open_mood = 'w+' # write 'w', append 'a+'
workload_type = 'full_dynamic_random' # 'static', 'random', 'full_dynamic', 'full_dynamic_random'
# static parameters
number_of_batches = 100
# random parameters
number_of_queries = 1000
number_of_samples = 500
# dynamic parameters
number_of_samples_2 = 10000
number_of_shifts = 600
shift_length_queries = 5
shift_length_rounds = 1
number_of_files = 1
payloads = {1: {"LINEITEM": ["L_RETURNFLAG", "L_LINESTATUS", "L_QUANTITY", "L_EXTENDEDPRICE", "L_DISCOUNT", "L_TAX"]},
2: {"SUPPLIER": ["S_ACCTBAL", "S_NAME", "S_ADDRESS", "S_PHONE", "S_COMMENT"], "NATION": ["N_NAME"], "PART":
["P_PARTKEY", "P_MFGR"], "PARTSUPP": ["PS_SUPPLYCOST"]},
3: {"LINEITEM": ["L_ORDERKEY", "L_EXTENDEDPRICE", "L_DISCOUNT"], "ORDERS": ["O_ORDERDATE",
"O_SHIPPRIORITY"]},
4: {"ORDERS": ["O_ORDERPRIORITY"]},
5: {"NATION": ["N_NAME"], "LINEITEM": ["L_EXTENDEDPRICE", "L_DISCOUNT"]},
6: {"LINEITEM": ["L_EXTENDEDPRICE", "L_DISCOUNT"]},
7: {"LINEITEM": ["L_SHIPDATE", "L_EXTENDEDPRICE", "L_DISCOUNT"], "NATION": ["N_NAME"]},
8: {"ORDERS": ["O_ORDERDATE"], "LINEITEM": ["L_EXTENDEDPRICE", "L_DISCOUNT"], "NATION": ["N_NAME"]},
9: {"ORDERS": ["O_ORDERDATE"], "LINEITEM": ["L_EXTENDEDPRICE", "L_DISCOUNT", "L_QUANTITY"], "PARTSUPP":
["PS_SUPPLYCOST"], "NATION": ["N_NAME"]},
10: {"CUSTOMER": ["C_CUSTKEY", "C_NAME", "C_ACCTBAL", "C_ADDRESS", "C_PHONE", "C_COMMENT"], "LINEITEM":
["L_EXTENDEDPRICE", "L_DISCOUNT"], "NATION": ["N_NAME"]},
11: {"PARTSUPP": ["PS_PARTKEY", "PS_SUPPLYCOST", "PS_AVAILQTY"]},
12: {"LINEITEM": ["L_SHIPMODE"], "ORDERS": ["O_ORDERPRIORITY"]},
13: {"CUSTOMER": ["C_CUSTKEY"], "ORDERS": ["O_ORDERKEY"]},
14: {"PART": ["P_TYPE"], "LINEITEM": ["L_EXTENDEDPRICE", "L_DISCOUNT"]},
16: {"PART": ["P_BRAND", "P_TYPE", "P_SIZE"]},
17: {"LINEITEM": ["L_EXTENDEDPRICE", "L_QUANTITY"]},
18: {"CUSTOMER": ["C_NAME"], "ORDERS": ["O_ORDERDATE", "O_TOTALPRICE"], "LINEITEM": ["L_QUANTITY"]},
19: {"LINEITEM": ["L_EXTENDEDPRICE", "L_DISCOUNT"]},
20: {"SUPPLIER": ["S_NAME", "S_ADDRESS"], "LINEITEM": ["L_QUANTITY"]},
21: {"SUPPLIER": ["S_NAME"]},
22: {"CUSTOMER": ["C_PHONE", "C_ACCTBAL"]}}
predicates = {1: {"LINEITEM": {"L_SHIPDATE": "r"}},
2: {"PART": {"P_SIZE": "e", "P_TYPE": "c"}, "PARTSUPP": {"PS_SUPPKEY": "j", "PS_PARTKEY": "j"},
"SUPPLIER": {"S_NATIONKEY": "j"}, "NATION": {"N_REGIONKEY": "j"}, "REGION": {"R_NAME": "e"}},
3: {"ORDERS": {"O_CUSTKEY": "j", "O_ORDERDATE": "r"}, "CUSTOMER": {"C_MKTSEGMENT": "e"}, "LINEITEM":
{"L_SHIPDATE": "r", "L_ORDERKEY": "j"}},
4: {"ORDERS": {"O_ORDERKEY": "jpk", "O_ORDERDATE": "r"}, "LINEITEM":
{"L_ORDERKEY": "jpk", "L_COMMITDATE": "c", "L_RECEIPTDATE": "c"}},
5: {"ORDERS": {"O_CUSTKEY": "j", "O_ORDERKEY": "jpk", "O_ORDERDATE": "r"},
"LINEITEM": {"L_ORDERKEY": "jpk", "L_SUPPKEY": "j"},
"CUSTOMER": {"C_CUSTKEY": "jpk", "C_NATIONKEY": "j"},
"SUPPLIER": {"S_NATIONKEY": "j", "S_SUPPKEY": "jpk"},
"NATION": {"N_NATIONKEY": "jpk", "N_REGIONKEY": "j"},
"REGION": {"R_REGIONKEY": "jpk", "R_NAME": "e"}},
6: {"LINEITEM": {"L_SHIPDATE": "r", "L_DISCOUNT": "r", "L_QUANTITY": "r"}},
7: {"ORDERS": {"O_CUSTKEY": "j", "O_ORDERKEY": "jpk"},
"LINEITEM": {"L_ORDERKEY": "jpk", "L_SUPPKEY": "j", "L_SHIPDATE": "r"},
"CUSTOMER": {"C_CUSTKEY": "jpk", "C_NATIONKEY": "j"},
"SUPPLIER": {"S_NATIONKEY": "j", "S_SUPPKEY": "jpk"},
"NATION": {"N_NATIONKEY": "jpk", "N_NAME": "e"}},
8: {"ORDERS": {"O_CUSTKEY": "j", "O_ORDERKEY": "jpk", "O_ORDERDATE": "r"},
"LINEITEM": {"L_ORDERKEY": "jpk", "L_SUPPKEY": "j", "L_PARTKEY": "j"},
"CUSTOMER": {"C_CUSTKEY": "jpk", "C_NATIONKEY": "j"},
"SUPPLIER": {"S_NATIONKEY": "j", "S_SUPPKEY": "jpk"},
"NATION": {"N_NATIONKEY": "jpk", "N_REGIONKEY": "j"},
"REGION": {"R_REGIONKEY": "jpk", "R_NAME": "e"}, "PART": {"P_PARTKEY": "jpk", "P_TYPE": "e"}},
9: {"PART": {"P_PARTKEY": "jpk", "P_NAME": "c"}, "SUPPLIER": {"S_NATIONKEY": "j", "S_SUPPKEY": "jpk"},
"LINEITEM": {"L_ORDERKEY": "jpk", "L_SUPPKEY": "j", "L_PARTKEY": "j"},
"PARTSUPP": {"PS_SUPPKEY": "jpk2", "PS_PARTKEY": "jpk"}, "ORDERS": {"O_ORDERKEY": "jpk"},
"NATION": {"N_NATIONKEY": "jpk"}},
10: {"ORDERS": {"O_CUSTKEY": "j", "O_ORDERKEY": "jpk", "O_ORDERDATE": "r"},
"LINEITEM": {"L_ORDERKEY": "jpk", "L_RETURNFLAG": "e"},
"CUSTOMER": {"C_CUSTKEY": "jpk", "C_NATIONKEY": "j"}, "NATION": {"N_NATIONKEY": "jpk"}},
11: {"PARTSUPP": {"PS_SUPPKEY": "jpk2"}, "SUPPLIER": {"S_SUPPKEY": "jpk", "S_NATIONKEY": "j"},
"NATION": {"N_NATIONKEY": "jpk", "N_NAME": "e"}},
12: {"ORDERS": {"O_ORDERKEY": "jpk"},
"LINEITEM": {"L_ORDERKEY": "jpk", "L_SHIPMODE": "e", "L_RECEIPTDATE": "r",
"L_SHIPDATE": "r", "L_COMMITDATE": "r"}},
13: {"CUSTOMER": {"C_CUSTKEY": "jpk"}, "ORDERS": {"O_COMMENT": "c", "O_CUSTKEY": "j"}},
14: {"LINEITEM": {"L_SHIPDATE": "r", "L_PARTKEY": "j"}, "PART": {"P_PARTKEY": "jpk"}},
16: {"PARTSUPP": {"PS_PARTKEY":"jpk", "PS_SUPPKEY":"jpk2"},
"PART": {"P_PARTKEY": "jpk", "P_SIZE": "e", "P_BRAND": "r", "P_TYPE": "c"},
"SUPPLIER": {"S_COMMENT":"c"}},
17: {"PART": {"P_PARTKEY": "jpk", "P_CONTAINER": "e", "P_BRAND": "e"}, "LINEITEM": {"L_PARTKEY": "j"}},
18: {"ORDERS": {"O_CUSTKEY": "j", "O_ORDERKEY": "jpk"}, "CUSTOMER": {"C_CUSTKEY": "jpk"},
"LINEITEM": {"L_ORDERKEY": "jpk"}},
19: {"LINEITEM": {"L_SHIPMODE": "e", "L_PARTKEY": "j", "L_QUANTITY": "r", "L_SHIPINSTRUCT": "e"},
"PART": {"P_SIZE": "r", "P_PARTKEY": "jpk", "P_BRAND": "e", "P_CONTAINER": "e"}},
20: {"SUPPLIER": {"S_SUPPKEY": "jpk", "S_NATIONKEY": "j"},
"PARTSUPP": {"PS_PARTKEY": "jpk", "PS_AVAILQTY": "r", "PS_SUPPKEY": "jpk2"},
"LINEITEM": {"L_SUPPKEY": "j", "L_PARTKEY": "j", "L_SHIPDATE": "r"},
"NATION": {"N_NATIONKEY": "jpk", "N_NAME": "e"}, "PART": {"P_NAME": "r"}},
21: {"SUPPLIER": {"S_SUPPKEY": "jpk", "S_NATIONKEY": "j"},
"ORDERS": {"O_ORDERKEY": "jpk", "O_ORDERSTATUS": "e"},
"LINEITEM": {"L_SUPPKEY": "j", "L_ORDERKEY": "jpk", "L_RECEIPTDATE": "c", "L_COMMITDATE": "c"},
"NATION": {"N_NATIONKEY": "jpk", "N_NAME": "e"}},
22: {"CUSTOMER": {"C_ACCTBAL": "r", "C_PHONE": "c", "C_CUSTKEY": "jpk"}, "ORDERS": {"O_CUSTKEY": "j"}}}
order_bys = {1: {"LINEITEM": [("L_RETURNFLAG", "ASC"), ("L_LINESTATUS", "ASC")]},
2: {"SUPPLIER": [("S_ACCTBAL", "DESC"), ("S_NAME", "ASC")], "NATION": [("N_NAME", "ASC")], "PART": [("P_PARTKEY", "ASC")]},
3: {"ORDERS": [("O_ORDERDATE", "ASC")]},
4: {"ORDERS": [("O_ORDERPRIORITY", "ASC")]},
5: {},
6: {},
7: {},
8: {},
9: {},
10: {},
11: {},
12: {"LINEITEM": [("L_SHIPMODE", "ASC")]},
13: {},
14: {},
16: {},
17: {"LINEITEM": [("L_EXTENDEDPRICE", "ASC")]},
18: {"ORDERS": [("O_TOTALPRICE", "DESC"), ("O_ORDERDATE", "ASC")]},
19: {},
20: {"SUPPLIER": [("S_NAME", "ASC")]},
21: {"SUPPLIER": [("S_NAME", "ASC")]},
22: {}}
class BasicQuery:
def __init__(self, query_id, query_string, predicates, payloads, order_by):
self.id = query_id
self.query_string = query_string
self.predicates = predicates
self.payload = payloads
self.group_by = {}
self.order_by = order_by
os.chdir(solution_root)
# Generate queries single file
if workload_type == 'static':
file_name_temp = file_name_prefix + "_" + workload_type + "_" + str(number_of_batches) + file_extension
with open(output_folder + file_name_temp, file_open_mood) as o_file:
os.chdir(dbgen_root)
for i in range(number_of_batches):
seed = random.randint(1, 1000000)
command2 = f"./qgen -r {seed}"
output = subprocess.check_output(command2, shell=True)
queries = output.decode("utf-8").split('\r\n\r\n\r\n')
for query_id in query_list:
# queries index start with 1 as there is a comment in the 0th index
query = BasicQuery(query_id, queries[query_id], predicates[query_id], payloads[query_id], order_bys[query_id])
json.dump(query.__dict__, o_file)
o_file.write('\n')
elif workload_type == 'random':
queries = {}
file_name_temp = file_name_prefix + "_" + workload_type + "_" + str(number_of_queries) + file_extension
with open(output_folder + file_name_temp, file_open_mood) as o_file:
os.chdir(dbgen_root)
for i in range(number_of_samples):
seed = random.randint(1, 1000000)
command2 = f"Debug\qgen.exe -r {seed}"
output = subprocess.check_output(command2, shell=True)
queries[i] = output.decode("utf-8").split('\r\n\r\n\r\n')
for i in range(number_of_queries):
random_query_id = random.choice(query_list)
random_sample_id = random.randint(0, number_of_samples - 1)
query = BasicQuery(random_query_id, queries[random_sample_id][random_query_id], predicates[random_query_id], payloads[random_query_id], order_bys[random_query_id])
json.dump(query.__dict__, o_file)
o_file.write('\n')
if workload_type == 'full_dynamic':
queries = {}
queries_per_shift = int(len(query_list)/number_of_shifts)
os.chdir(dbgen_root)
for i in range(number_of_samples_2):
seed = random.randint(1, 1000000)
command2 = f"./qgen -r {seed}"
output = subprocess.check_output(command2, shell=True)
#print(output.decode("utf-8").split('\r\nset showplan_all on;\r\ngo\r\n\r\n')[1])
#exit()
queries[i] = [s.replace('\r\ngo', '') for s in output.decode("utf-8").split('\r\nset showplan_all on;\r\ngo\r\n\r\n')]#
os.chdir(solution_root)
for k in range(number_of_files):
new_query_set = set(query_list)
last_round_query_set = set()
file_name_temp = file_name_prefix + "_" + workload_type + "_" + str(number_of_shifts) + "_" + str(shift_length_rounds) \
+ "_" + str(k) + file_extension
with open(dirname+"/" + output_folder + file_name_temp, file_open_mood) as o_file:
for i in range(number_of_shifts):
random_query_ids = random.sample(tuple(new_query_set), k=queries_per_shift)
last_round_query_set = set(random_query_ids)
print(f"shift {i}: {random_query_ids}")
new_query_set = new_query_set - last_round_query_set
for j in range(shift_length_rounds):
for random_query_id in random_query_ids:
random_sample_id = random.randint(0, number_of_samples_2 - 1)
#print(queries[random_sample_id])
query = BasicQuery(random_query_id, queries[random_sample_id][random_query_id],
predicates[random_query_id], payloads[random_query_id], order_bys[random_query_id])
json.dump(query.__dict__, o_file)
o_file.write('\n')
if workload_type == 'full_dynamic_random':
queries = {}
queries_per_shift = 5 # int(len(query_list)/number_of_shifts)
os.chdir(dbgen_root)
for i in range(number_of_samples_2):
seed = random.randint(1, 1000000)
command2 = f"./qgen -r {seed}"
output = subprocess.check_output(command2, shell=True)
queries[i] = [s.replace('\r\ngo', '') for s in output.decode("utf-8").split('\r\nset showplan_all on;\r\ngo\r\n\r\n')]
os.chdir(solution_root)
for k in range(number_of_files):
new_query_set = set(query_list)
last_round_query_set = set()
file_name_temp = file_name_prefix + "_" + workload_type + "_" + str(number_of_shifts) + "_" + str(shift_length_queries) \
+ "_" + str(k) + file_extension
with open(dirname+"/"+output_folder + file_name_temp, file_open_mood) as o_file:
for i in range(number_of_shifts):
random_query_ids = random.sample(tuple(new_query_set), k=queries_per_shift)
last_round_query_set = set(random_query_ids)
print(f"shift {i}: {random_query_ids}")
#new_query_set = new_query_set - last_round_query_set
for j in range(shift_length_queries):
random_query_id = random.choice(random_query_ids)
random_sample_id = random.randint(0, number_of_samples_2 - 1)
query = BasicQuery(random_query_id, queries[random_sample_id][random_query_id],
predicates[random_query_id], payloads[random_query_id], order_bys[random_query_id])
json.dump(query.__dict__, o_file)
o_file.write('\n')