Example #1
0
def test_aligned_timeseries():
    with IoTDBContainer("iotdb:dev") as db:
        db: IoTDBContainer
        session = Session(db.get_container_host_ip(), db.get_exposed_port(6667))
        session.open(False)

        if not session.is_open():
            print("can't open session")
            exit(1)

        # set and delete storage groups
        session.set_storage_group("root.sg_test_01")
        session.set_storage_group("root.sg_test_02")
        session.set_storage_group("root.sg_test_03")
        session.set_storage_group("root.sg_test_04")

        if session.delete_storage_group("root.sg_test_02") < 0:
            test_fail()
            print_message("delete storage group failed")

        if session.delete_storage_groups(["root.sg_test_03", "root.sg_test_04"]) < 0:
            test_fail()
            print_message("delete storage groups failed")

        # setting aligned time series.
        measurements_lst_ = [
            "s_01",
            "s_02",
            "s_03",
        ]
        data_type_lst_ = [
            TSDataType.BOOLEAN,
            TSDataType.INT32,
            TSDataType.INT64,
        ]
        encoding_lst_ = [TSEncoding.PLAIN for _ in range(len(data_type_lst_))]
        compressor_lst_ = [Compressor.SNAPPY for _ in range(len(data_type_lst_))]
        session.create_aligned_time_series(
            "root.sg_test_01.d_02",
            measurements_lst_,
            data_type_lst_,
            encoding_lst_,
            compressor_lst_,
        )

        # setting more aligned time series once.
        measurements_lst_ = [
            "s_04",
            "s_05",
            "s_06",
            "s_07",
            "s_08",
            "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_aligned_time_series(
            "root.sg_test_01.d_02",
            measurements_lst_,
            data_type_lst_,
            encoding_lst_,
            compressor_lst_,
        )

        # delete time series
        if (
            session.delete_time_series(
                [
                    "root.sg_test_01.d_02.s_07",
                    "root.sg_test_01.d_02.s_08",
                    "root.sg_test_01.d_02.s_09",
                ]
            )
            < 0
        ):
            test_fail()
            print_message("delete time series failed")

        # checking time series
        # s_07 expecting False
        if session.check_time_series_exists("root.sg_test_01.d_02.s_07"):
            test_fail()
            print_message("root.sg_test_01.d_02.s_07 shouldn't exist")

        # s_03 expecting True
        if not session.check_time_series_exists("root.sg_test_01.d_02.s_03"):
            test_fail()
            print_message("root.sg_test_01.d_02.s_03 should exist")

        # 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,
        ]
        if (
            session.insert_aligned_record(
                "root.sg_test_01.d_02", 1, measurements_, data_types_, values_
            )
            < 0
        ):
            test_fail()
            print_message("insert record failed")

        # 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_]
        device_ids_ = ["root.sg_test_01.d_02", "root.sg_test_01.d_02"]
        if (
            session.insert_aligned_records(
                device_ids_, [2, 3], measurements_list_, data_type_list_, values_list_
            )
            < 0
        ):
            test_fail()
            print_message("insert records failed")

        # insert one tablet into the database.
        values_ = [
            [False, 10, 11, 1.1, 10011.1, "test01"],
            [True, 100, 11111, 1.25, 101.0, "test02"],
            [False, 100, 1, 188.1, 688.25, "test03"],
            [True, 0, 0, 0, 6.25, "test04"],
        ]  # Non-ASCII text will cause error since bytes can only hold 0-128 nums.
        timestamps_ = [4, 5, 6, 7]
        tablet_ = Tablet(
            "root.sg_test_01.d_02", measurements_, data_types_, values_, timestamps_
        )
        if session.insert_aligned_tablet(tablet_) < 0:
            test_fail()
            print_message("insert tablet failed")

        # insert multiple tablets into database
        tablet_01 = Tablet(
            "root.sg_test_01.d_02", measurements_, data_types_, values_, [8, 9, 10, 11]
        )
        tablet_02 = Tablet(
            "root.sg_test_01.d_02",
            measurements_,
            data_types_,
            values_,
            [12, 13, 14, 15],
        )
        if session.insert_aligned_tablets([tablet_01, tablet_02]) < 0:
            test_fail()
            print_message("insert tablets failed")

        # insert one tablet with empty cells into the database.
        values_ = [
            [None, 10, 11, 1.1, 10011.1, "test01"],
            [True, None, 11111, 1.25, 101.0, "test02"],
            [False, 100, 1, None, 688.25, "test03"],
            [True, 0, 0, 0, None, None],
        ]  # Non-ASCII text will cause error since bytes can only hold 0-128 nums.
        timestamps_ = [20, 21, 22, 23]
        tablet_ = Tablet(
            "root.sg_test_01.d_02", measurements_, data_types_, values_, timestamps_
        )
        if session.insert_aligned_tablet(tablet_) < 0:
            test_fail()
            print_message("insert tablet with empty cells failed")

        # insert records of one device
        time_list = [1, 2, 3]
        measurements_list = [
            ["s_01", "s_02", "s_03"],
            ["s_01", "s_02", "s_03"],
            ["s_01", "s_02", "s_03"],
        ]
        data_types_list = [
            [TSDataType.BOOLEAN, TSDataType.INT32, TSDataType.INT64],
            [TSDataType.BOOLEAN, TSDataType.INT32, TSDataType.INT64],
            [TSDataType.BOOLEAN, TSDataType.INT32, TSDataType.INT64],
        ]
        values_list = [[False, 22, 33], [True, 1, 23], [False, 15, 26]]

        if (
            session.insert_aligned_records_of_one_device(
                "root.sg_test_01.d_02",
                time_list,
                measurements_list,
                data_types_list,
                values_list,
            )
            < 0
        ):
            test_fail()
            print_message("insert records of one device failed")

        # execute non-query sql statement
        if (
            session.execute_non_query_statement(
                "insert into root.sg_test_01.d_02(timestamp, s_02) aligned values(16, 188)"
            )
            < 0
        ):
            test_fail()
            print_message(
                "execute 'insert into root.sg_test_01.d_02(timestamp, s_02) aligned values(16, 188)' failed"
            )

        # execute sql query statement
        session_data_set = session.execute_query_statement(
            "select * from root.sg_test_01.d_02"
        )
        session_data_set.set_fetch_size(1024)
        expect_count = 20
        actual_count = 0
        while session_data_set.has_next():
            print(session_data_set.next())
            actual_count += 1
        session_data_set.close_operation_handle()

        if actual_count != expect_count:
            test_fail()
            print_message(
                "query count mismatch: expect count: "
                + str(expect_count)
                + " actual count: "
                + str(actual_count)
            )

        # close session connection.
        session.close()
Example #2
0
measurements_lst_ = [
    "s_01",
    "s_02",
    "s_03",
]
data_type_lst_ = [
    TSDataType.BOOLEAN,
    TSDataType.INT32,
    TSDataType.INT64,
]
encoding_lst_ = [TSEncoding.PLAIN for _ in range(len(data_type_lst_))]
compressor_lst_ = [Compressor.SNAPPY for _ in range(len(data_type_lst_))]
session.create_aligned_time_series(
    "root.sg_test_01.d_02",
    measurements_lst_,
    data_type_lst_,
    encoding_lst_,
    compressor_lst_,
)

# setting more aligned time series once.
measurements_lst_ = [
    "s_04",
    "s_05",
    "s_06",
    "s_07",
    "s_08",
    "s_09",
]
data_type_lst_ = [
    TSDataType.FLOAT,