Exemplos de Session.check_time_series_exists em Python

Exemplo n.º 1

    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:

Exemplo n.º 2

Arquivo: SessionExample.py Projeto: JulianFeinauer/iotdb-session-py

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_]