提交 2e2d42a4 编写于 作者: S shenglian zhou

Merge branch 'hotfix/td-6396' of github.com:taosdata/TDengine into hotfix/td-6396

...@@ -14,7 +14,6 @@ ...@@ -14,7 +14,6 @@
import random import random
import time import time
from copy import deepcopy from copy import deepcopy
import numpy as np
from util.log import * from util.log import *
from util.cases import * from util.cases import *
from util.sql import * from util.sql import *
...@@ -125,20 +124,21 @@ class TDTestCase: ...@@ -125,20 +124,21 @@ class TDTestCase:
end = time.time_ns(); end = time.time_ns();
print(threading.current_thread().name, 'end time:', (end-begin)/10**9) print(threading.current_thread().name, 'end time:', (end-begin)/10**9)
def splitGenerator(self, table_list, sub_list_len): def splitGenerator(self, table_list, thread_count):
''' '''
split a list to n piece of sub_list split a list to n piece of sub_list
[a, b, c, d] ---> [[a, b], [c, d]] [a, b, c, d] ---> [[a, b], [c, d]]
yield type ---> generator yield type ---> generator
''' '''
sub_list_len = int(len(table_list)/thread_count)
for i in range(0, len(table_list), sub_list_len): for i in range(0, len(table_list), sub_list_len):
yield table_list[i:i + sub_list_len] yield table_list[i:i + sub_list_len]
def genTbListGenerator(self, table_list, sub_list_len): def genTbListGenerator(self, table_list, thread_count):
''' '''
split table_list, after split, every sub_list len is sub_list_len split table_list, after split
''' '''
table_list_generator = self.splitGenerator(table_list, sub_list_len) table_list_generator = self.splitGenerator(table_list, thread_count)
return table_list_generator return table_list_generator
def genTableList(self, count=4, table_count=10000): def genTableList(self, count=4, table_count=10000):
...@@ -194,14 +194,14 @@ class TDTestCase: ...@@ -194,14 +194,14 @@ class TDTestCase:
for t in threads: for t in threads:
t.join() t.join()
def createTables(self, count, table_count=10000, sub_list_len=1000, thread_count=10): def createTables(self, count, table_count=10000, thread_count=10):
''' '''
create stb and tb create stb and tb
''' '''
table_list = self.genTableList(count=count, table_count=table_count) table_list = self.genTableList(count=count, table_count=table_count)
create_tables_start_time = time.time() create_tables_start_time = time.time()
self.createStb(count=count) self.createStb(count=count)
table_list_generator = self.genTbListGenerator(table_list, sub_list_len) table_list_generator = self.genTbListGenerator(table_list, thread_count)
create_tables_generator, insert_rows_generator = itertools.tee(table_list_generator, 2) create_tables_generator, insert_rows_generator = itertools.tee(table_list_generator, 2)
self.multiThreadRun(self.threadCreateTables(table_list_generator=create_tables_generator, thread_count=thread_count)) self.multiThreadRun(self.threadCreateTables(table_list_generator=create_tables_generator, thread_count=thread_count))
create_tables_end_time = time.time() create_tables_end_time = time.time()
...@@ -220,44 +220,45 @@ class TDTestCase: ...@@ -220,44 +220,45 @@ class TDTestCase:
return_str = f'insert rows\' time of {count} columns ---> {insert_rows_time}s' return_str = f'insert rows\' time of {count} columns ---> {insert_rows_time}s'
return insert_rows_time, return_str return insert_rows_time, return_str
def schemalessPerfTest(self, count, table_count=10000, sub_list_len=1000, thread_count=10): def schemalessPerfTest(self, count, table_count=10000, thread_count=10, rows_count=1000):
''' '''
get performance get performance
''' '''
insert_rows_generator = self.createTables(count=count, table_count=table_count, sub_list_len=sub_list_len, thread_count=thread_count)[0] insert_rows_generator = self.createTables(count=count, table_count=table_count, thread_count=thread_count)[0]
return self.insertRows(count=count, rows_generator=insert_rows_generator, rows_count=1000, thread_count=10) return self.insertRows(count=count, rows_generator=insert_rows_generator, rows_count=rows_count, thread_count=thread_count)
def getPerfResults(self, test_times=3, table_count=10000, sub_list_len=1000, thread_count=10): def getPerfResults(self, test_times=3, table_count=10000, thread_count=10):
col4_time = 0 col4_time = 0
col1000_time = 0 col1000_time = 0
col4000_time = 0 col4000_time = 0
# for i in range(test_times):
# time_used = self.schemalessPerfTest(count=4, table_count=table_count, sub_list_len=sub_list_len, thread_count=thread_count)[0]
# col4_time += time_used
# col4_time /= test_times
# print(col4_time)
tdCom.cleanTb()
for i in range(test_times): for i in range(test_times):
time_used = self.schemalessPerfTest(count=1000, table_count=table_count, sub_list_len=sub_list_len, thread_count=thread_count)[0] tdCom.cleanTb()
col1000_time += time_used time_used = self.schemalessPerfTest(count=4, table_count=table_count, thread_count=thread_count)[0]
col1000_time /= test_times col4_time += time_used
print(col1000_time) col4_time /= test_times
print(col4_time)
# for i in range(test_times):
# tdCom.cleanTb()
# time_used = self.schemalessPerfTest(count=1000, table_count=table_count, thread_count=thread_count)[0]
# col1000_time += time_used
# col1000_time /= test_times
# print(col1000_time)
tdCom.cleanTb() # for i in range(test_times):
for i in range(test_times): # tdCom.cleanTb()
time_used = self.schemalessPerfTest(count=4000, table_count=table_count, sub_list_len=sub_list_len, thread_count=thread_count)[0] # time_used = self.schemalessPerfTest(count=4000, table_count=table_count, thread_count=thread_count)[0]
col4000_time += time_used # col4000_time += time_used
col4000_time /= test_times # col4000_time /= test_times
print(col4000_time) # print(col4000_time)
return col4_time, col1000_time, col4000_time return col4_time, col1000_time, col4000_time
def run(self): def run(self):
print("running {}".format(__file__)) print("running {}".format(__file__))
tdSql.prepare() tdSql.prepare()
result = self.getPerfResults(test_times=1, table_count=1000, sub_list_len=100, thread_count=10) result = self.getPerfResults(test_times=1, table_count=1000, thread_count=10)
print(result) print(result)
def stop(self): def stop(self):
......
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