TSDataType.DOUBLE, TSDataType.TEXT ] encoding_lst_ = [TSEncoding.PLAIN for _ in range(len(data_type_lst_))] compressor_lst_ = [Compressor.SNAPPY for _ in range(len(data_type_lst_))] session.create_multi_time_series(ts_path_lst_, data_type_lst_, encoding_lst_, compressor_lst_) # delete time series session.delete_time_series([ "root.sg_test_01.d_01.s_07", "root.sg_test_01.d_01.s_08", "root.sg_test_01.d_01.s_09" ]) # checking time series print("s_07 expecting False, checking result: ", session.check_time_series_exists("root.sg_test_01.d_01.s_07")) print("s_03 expecting True, checking result: ", session.check_time_series_exists("root.sg_test_01.d_01.s_03")) # # insert one record into the database. # measurements_ = ["s_01", "s_02", "s_03", "s_04", "s_05", "s_06"] # values_ = [False, 10, 11, 1.1, 10011.1, "test_record"] # data_types_ = [TSDataType.BOOLEAN, TSDataType.INT32, TSDataType.INT64, # TSDataType.FLOAT, TSDataType.DOUBLE, TSDataType.TEXT] # session.insert_record("root.sg_test_01.d_01", 1, measurements_, data_types_, values_) import numpy as np import ast with open('nor11.dat') as file:
session.create_time_series("root.sg_test_01.d_01.s_03", TSDataType.INT64, TSEncoding.PLAIN, Compressor.SNAPPY) # setting multiple time series once. ts_path_lst_ = ["root.sg_test_01.d_01.s_04", "root.sg_test_01.d_01.s_05", "root.sg_test_01.d_01.s_06", "root.sg_test_01.d_01.s_07", "root.sg_test_01.d_01.s_08", "root.sg_test_01.d_01.s_09"] data_type_lst_ = [TSDataType.FLOAT, TSDataType.DOUBLE, TSDataType.TEXT, TSDataType.FLOAT, TSDataType.DOUBLE, TSDataType.TEXT] encoding_lst_ = [TSEncoding.PLAIN for _ in range(len(data_type_lst_))] compressor_lst_ = [Compressor.SNAPPY for _ in range(len(data_type_lst_))] session.create_multi_time_series(ts_path_lst_, data_type_lst_, encoding_lst_, compressor_lst_) # delete time series session.delete_time_series(["root.sg_test_01.d_01.s_07", "root.sg_test_01.d_01.s_08", "root.sg_test_01.d_01.s_09"]) # checking time series print("s_07 expecting False, checking result: ", session.check_time_series_exists("root.sg_test_01.d_01.s_07")) print("s_03 expecting True, checking result: ", session.check_time_series_exists("root.sg_test_01.d_01.s_03")) # insert one record into the database. measurements_ = ["s_01", "s_02", "s_03", "s_04", "s_05", "s_06"] values_ = [False, 10, 11, 1.1, 10011.1, "test_record"] data_types_ = [TSDataType.BOOLEAN, TSDataType.INT32, TSDataType.INT64, TSDataType.FLOAT, TSDataType.DOUBLE, TSDataType.TEXT] session.insert_record("root.sg_test_01.d_01", 1, measurements_, data_types_, values_) # insert multiple records into database measurements_list_ = [["s_01", "s_02", "s_03", "s_04", "s_05", "s_06"], ["s_01", "s_02", "s_03", "s_04", "s_05", "s_06"]] values_list_ = [[False, 22, 33, 4.4, 55.1, "test_records01"], [True, 77, 88, 1.25, 8.125, "test_records02"]] data_type_list_ = [data_types_, data_types_]