# A function that adds the size of batch
def add_Batch(n):
return n + length_Hdata
st = [] # The array of timestamps which start to inserting data
en = [] # The array of timestamps which end to inserting data
Test_time = [] # The array of test time
try:
Timestamp = list(range(
length_Hdata)) # First generate an array of batch size [0,1,..2047]
for i in range(Loop):
st.append(get_float_time_stamp())
session.insert_records(device_ids_, Timestamp, measurements_lists_,
data_type_lists_, values_list_)
en.append(get_float_time_stamp())
# Test_time.append(en[i]-st[i])
# print("Test_time: " + str(Test_time[i]))
# Using add_Batch fucntion adds the size of batch to each array index
a = list(map(add_Batch, Timestamp))
# ex) size of batch: 2048 => [0+2048,1+2048,...2047+2048]
# ex) if number of LOOP : 2 => [0,1,2,3,.....,2047]
# [2048,2049,2050,.....4095]
finally:
All_Test_time = en[-1] - st[0]
print("Test_time: " + str(All_Test_time))
Writing_frequency = (length_Hdata * Sensor * Loop) / All_Test_time
print("Writing frequency: " + str(np.around(Writing_frequency, 2)))
#
# with open('nor11.dat') as file:
# data = file.read().splitlines()
# floats=[]
# for elem in data:
# try:
# floats.append(float(elem))
# except ValueError:
# pass
data_types_ = [TSDataType.DOUBLE]
measurements_ = ["s1"]
# for time in range(len(floats)):
# values = [floats[time]]
# session.insert_record("root.testdat", time, measurements_, data_types_, values)
floats = value_list[0]
for time in range(len(floats)):
values = [floats[time]]
session.insert_record("root.testdat", time, measurements_, data_types_,
values)
# insert multiple records into database
measurements_list_ = [["s1"], ["s2"]]
values_list_ = [[float(data[0])], [floats[1]]]
data_type_list_ = [data_types_, data_types_]
device_ids_ = ["root.testdat", "root.testdat"]
session.insert_records(device_ids_, [4, 5], measurements_list_,
data_type_list_, values_list_)
