import taos from datetime import datetime # note: lines have already been sorted by table name lines = [('d1001', '2018-10-03 14:38:05.000', 10.30000, 219, 0.31000, 'California.SanFrancisco', 2), ('d1001', '2018-10-03 14:38:15.000', 12.60000, 218, 0.33000, 'California.SanFrancisco', 2), ('d1001', '2018-10-03 14:38:16.800', 12.30000, 221, 0.31000, 'California.SanFrancisco', 2), ('d1002', '2018-10-03 14:38:16.650', 10.30000, 218, 0.25000, 'California.SanFrancisco', 3), ('d1003', '2018-10-03 14:38:05.500', 11.80000, 221, 0.28000, 'California.LosAngeles', 2), ('d1003', '2018-10-03 14:38:16.600', 13.40000, 223, 0.29000, 'California.LosAngeles', 2), ('d1004', '2018-10-03 14:38:05.000', 10.80000, 223, 0.29000, 'California.LosAngeles', 3), ('d1004', '2018-10-03 14:38:06.500', 11.50000, 221, 0.35000, 'California.LosAngeles', 3)] def get_ts(ts: str): dt = datetime.strptime(ts, '%Y-%m-%d %H:%M:%S.%f') return int(dt.timestamp() * 1000) def create_stable(): conn = taos.connect() try: conn.execute("CREATE DATABASE power") conn.execute("CREATE STABLE power.meters (ts TIMESTAMP, current FLOAT, voltage INT, phase FLOAT) " "TAGS (location BINARY(64), groupId INT)") finally: conn.close() def bind_row_by_row(stmt: taos.TaosStmt): tb_name = None for row in lines: if tb_name != row[0]: tb_name = row[0] tags: taos.TaosBind = taos.new_bind_params(2) # 2 is count of tags tags[0].binary(row[5]) # location tags[1].int(row[6]) # groupId stmt.set_tbname_tags(tb_name, tags) values: taos.TaosBind = taos.new_bind_params(4) # 4 is count of columns values[0].timestamp(get_ts(row[1])) values[1].float(row[2]) values[2].int(row[3]) values[3].float(row[4]) stmt.bind_param(values) def insert_data(): conn = taos.connect(database="power") try: stmt = conn.statement("INSERT INTO ? USING meters TAGS(?, ?) VALUES(?, ?, ?, ?)") bind_row_by_row(stmt) stmt.execute() stmt.close() finally: conn.close() if __name__ == '__main__': create_stable() insert_data()