380 lines
15 KiB
Python
380 lines
15 KiB
Python
import datetime
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from dataclasses import dataclass
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from typing import List, Any, Tuple
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from util.log import *
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from util.sql import *
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from util.cases import *
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from util.dnodes import *
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from util.constant import *
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from ...pytest.util.sql import *
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PRIMARY_COL = "ts"
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INT_COL = "c_int"
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BINT_COL = "c_bint"
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SINT_COL = "c_sint"
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TINT_COL = "c_tint"
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FLOAT_COL = "c_float"
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DOUBLE_COL = "c_double"
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BOOL_COL = "c_bool"
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TINT_UN_COL = "c_tint_un"
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SINT_UN_COL = "c_sint_un"
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BINT_UN_COL = "c_bint_un"
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INT_UN_COL = "c_int_un"
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BINARY_COL = "c_binary"
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NCHAR_COL = "c_nchar"
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TS_COL = "c_ts"
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NUM_COL = [INT_COL, BINT_COL, SINT_COL, TINT_COL, FLOAT_COL, DOUBLE_COL, ]
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CHAR_COL = [BINARY_COL, NCHAR_COL, ]
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BOOLEAN_COL = [BOOL_COL, ]
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TS_TYPE_COL = [TS_COL, ]
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# insert data args：
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TIME_STEP = 10000
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NOW = int(datetime.datetime.timestamp(datetime.datetime.now()) * 1000)
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# init db/table
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DBNAME = "db"
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STBNAME = "stb1"
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CTBNAME = "ct1"
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NTBNAME = "nt1"
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@dataclass
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class DataSet:
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ts_data : List[int] = None
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int_data : List[int] = None
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bint_data : List[int] = None
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sint_data : List[int] = None
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tint_data : List[int] = None
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int_un_data : List[int] = None
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bint_un_data: List[int] = None
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sint_un_data: List[int] = None
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tint_un_data: List[int] = None
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float_data : List[float] = None
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double_data : List[float] = None
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bool_data : List[int] = None
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binary_data : List[str] = None
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nchar_data : List[str] = None
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def __post_init__(self):
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self.ts_data = []
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self.int_data = []
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self.bint_data = []
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self.sint_data = []
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self.tint_data = []
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self.int_un_data = []
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self.bint_un_data = []
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self.sint_un_data = []
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self.tint_un_data = []
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self.float_data = []
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self.double_data = []
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self.bool_data = []
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self.binary_data = []
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self.nchar_data = []
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@dataclass
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class SMAschema:
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creation : str = "CREATE"
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index_name : str = "sma_index_1"
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index_flag : str = "SMA INDEX"
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operator : str = "ON"
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tbname : str = None
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watermark : str = "5s"
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max_delay : str = "6m"
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func : Tuple[str] = None
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interval : Tuple[str] = ("6m", "10s")
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sliding : str = "6m"
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other : Any = None
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drop : str = "DROP"
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drop_flag : str = "INDEX"
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querySmaOptimize : int = 1
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def __post_init__(self):
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if isinstance(self.other, dict):
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for k,v in self.other.items():
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if k.lower() == "index_name" and isinstance(v, str) and not self.index_name:
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self.index_name = v
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del self.other[k]
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if k.lower() == "index_flag" and isinstance(v, str) and not self.index_flag:
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self.index_flag = v
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del self.other[k]
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if k.lower() == "operator" and isinstance(v, str) and not self.operator:
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self.operator = v
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del self.other[k]
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if k.lower() == "tbname" and isinstance(v, str) and not self.tbname:
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self.tbname = v
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del self.other[k]
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if k.lower() == "watermark" and isinstance(v, str) and not self.watermark:
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self.watermark = v
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del self.other[k]
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if k.lower() == "max_delay" and isinstance(v, str) and not self.max_delay:
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self.max_delay = v
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del self.other[k]
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if k.lower() == "functions" and isinstance(v, tuple) and not self.func:
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self.func = v
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del self.other[k]
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if k.lower() == "interval" and isinstance(v, tuple) and not self.interval:
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self.interval = v
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del self.other[k]
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if k.lower() == "sliding" and isinstance(v, str) and not self.sliding:
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self.sliding = v
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del self.other[k]
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if k.lower() == "drop_flag" and isinstance(v, str) and not self.drop_flag:
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self.drop_flag = v
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del self.other[k]
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class TDTestCase:
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updatecfgDict = {"querySmaOptimize": 1}
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def init(self, conn, logSql):
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tdLog.debug(f"start to excute {__file__}")
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tdSql.init(conn.cursor(), False)
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"""
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create sma index :
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1. only create on stable, err_type: [child-table, normal-table]
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2. one taosd, one sma index , err_type: [
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one stb --> multi sma index,
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multi stb in one db--> multi sma index,
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multi stb in multi db --> multi sma index
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]
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3. arg of (interval/sliding) in query sql is equal to this arg in sma index
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4. client timezone is equal to timezone of sma index
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5. does not take effect unless querySmaOptimize flag is turned on,
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"""
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def __create_sma_index(self, sma:SMAschema):
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sql = f"{sma.creation} {sma.index_flag} {sma.index_name} {sma.operator} {sma.tbname}"
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if sma.func:
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sql += f" function({', '.join(sma.func)})"
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if sma.interval:
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sql += f" interval({', '.join(sma.interval)})"
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if sma.sliding:
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sql += f" sliding({sma.sliding})"
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if sma.watermark:
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sql += f" watermark {sma.watermark}"
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if sma.max_delay:
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sql += f" max_delay {sma.max_delay}"
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if isinstance(sma.other, dict):
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for k,v in sma.other.items():
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if isinstance(v,tuple) or isinstance(v, list):
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sql += f" {k} ({' '.join(v)})"
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else:
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sql += f" {k} {v}"
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if isinstance(sma.other, tuple) or isinstance(sma.other, list):
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sql += " ".join(sma.other)
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if isinstance(sma.other, int) or isinstance(sma.other, float) or isinstance(sma.other, str):
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sql += f" {sma.other}"
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return sql
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def __check_sma_func(self, func:tuple):
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sma_func_support = ["min", "max","avg"]
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if not isinstance(func, str) or not isinstance(func, tuple) or not isinstance(func, list):
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return False
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if isinstance(func, str) :
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if func.split("(")[0] not in sma_func_support:
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return False
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def sma_create_check(self, sma:SMAschema):
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if self.updatecfgDict["querySmaOptimize"] == 0:
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tdSql.error(self.__create_sma_index(sma))
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tdSql.query("show stables")
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stb_in_list = False
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for row in tdSql.queryResult:
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if sma.tbname == row[0]:
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stb_in_list = True
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if not stb_in_list:
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tdSql.error(self.__create_sma_index(sma))
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if not sma.creation or not isinstance(sma.creation, str) or sma.creation.upper() != "CREATE":
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tdSql.error(self.__create_sma_index(sma))
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if not sma.index_flag or not isinstance(sma.index_flag, str) or sma.index_flag.upper() != "SMA INDEX" :
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tdSql.error(self.__create_sma_index(sma))
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if not sma.index_name or not isinstance(sma.index_name, str):
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tdSql.error(self.__create_sma_index(sma))
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if not sma.operator or not isinstance(sma.operator, str) or sma.operator.upper() != "ON":
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tdSql.error(self.__create_sma_index(sma))
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if not sma.tbname:
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tdSql.error(self.__create_sma_index(sma))
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if not sma.func:
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tdSql.error(self.__create_sma_index(sma))
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if not sma.interval:
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tdSql.error(self.__create_sma_index(sma))
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if not sma.sliding:
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tdSql.error(self.__create_sma_index(sma))
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if sma.other:
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tdSql.error(self.__create_sma_index(sma))
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@property
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def __create_sma_sql(self):
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err_sqls = []
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cur_sqls = []
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# err_set
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# case 1: required fields check
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err_sqls.append( SMAschema(creation="", tbname=STBNAME, func=(f"min({INT_COL})",f"max({INT_COL})") ) )
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err_sqls.append( SMAschema(index_name="",tbname=STBNAME, func=(f"min({INT_COL})",f"max({INT_COL})") ) )
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err_sqls.append( SMAschema(index_flag="",tbname=STBNAME, func=(f"min({INT_COL})",f"max({INT_COL})") ) )
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err_sqls.append( SMAschema(operator="",tbname=STBNAME, func=(f"min({INT_COL})",f"max({INT_COL})") ) )
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err_sqls.append( SMAschema(tbname="", func=(f"min({INT_COL})",f"max({INT_COL})") ) )
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err_sqls.append( SMAschema(func="",tbname=STBNAME ) )
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err_sqls.append( SMAschema(interval="",tbname=STBNAME, func=(f"min({INT_COL})",f"max({INT_COL})") ) )
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err_sqls.append( SMAschema(sliding="",tbname=STBNAME, func=(f"min({INT_COL})",f"max({INT_COL})") ) )
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return err_sqls, cur_sqls
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def test_create_sma(self):
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err_sqls , cur_sqls = self.__create_sma_sql
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for err_sql in err_sqls:
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self.sma_create_check(err_sql)
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def all_test(self):
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self.test_create_sma()
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pass
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def __create_tb(self):
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tdLog.printNoPrefix("==========step: create table")
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create_stb_sql = f'''create table {STBNAME}(
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ts timestamp, {INT_COL} int, {BINT_COL} bigint, {SINT_COL} smallint, {TINT_COL} tinyint,
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{FLOAT_COL} float, {DOUBLE_COL} double, {BOOL_COL} bool,
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{BINARY_COL} binary(16), {NCHAR_COL} nchar(32), {TS_COL} timestamp,
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{TINT_UN_COL} tinyint unsigned, {SINT_UN_COL} smallint unsigned,
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{INT_UN_COL} int unsigned, {BINT_UN_COL} bigint unsigned
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) tags (tag1 int)
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'''
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create_ntb_sql = f'''create table {NTBNAME}(
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ts timestamp, {INT_COL} int, {BINT_COL} bigint, {SINT_COL} smallint, {TINT_COL} tinyint,
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{FLOAT_COL} float, {DOUBLE_COL} double, {BOOL_COL} bool,
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{BINARY_COL} binary(16), {NCHAR_COL} nchar(32), {TS_COL} timestamp,
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{TINT_UN_COL} tinyint unsigned, {SINT_UN_COL} smallint unsigned,
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{INT_UN_COL} int unsigned, {BINT_UN_COL} bigint unsigned
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)
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'''
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tdSql.execute(create_stb_sql)
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tdSql.execute(create_ntb_sql)
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for i in range(4):
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tdSql.execute(f'create table ct{i+1} using stb1 tags ( {i+1} )')
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def __data_set(self, rows):
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data_set = DataSet()
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for i in range(rows):
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data_set.ts_data.append(NOW + 1 * (rows - i))
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data_set.int_data.append(rows - i)
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data_set.bint_data.append(11111 * (rows - i))
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data_set.sint_data.append(111 * (rows - i) % 32767)
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data_set.tint_data.append(11 * (rows - i) % 127)
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data_set.int_un_data.append(rows - i)
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data_set.bint_un_data.append(11111 * (rows - i))
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data_set.sint_un_data.append(111 * (rows - i) % 32767)
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data_set.tint_un_data.append(11 * (rows - i) % 127)
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data_set.float_data.append(1.11 * (rows - i))
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data_set.double_data.append(1100.0011 * (rows - i))
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data_set.bool_data.append((rows - i) % 2)
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data_set.binary_data.append(f'binary{(rows - i)}')
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data_set.nchar_data.append(f'nchar_测试_{(rows - i)}')
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return data_set
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def __insert_data(self):
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tdLog.printNoPrefix("==========step: start inser data into tables now.....")
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data = self.__data_set(rows=self.rows)
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# now_time = int(datetime.datetime.timestamp(datetime.datetime.now()) * 1000)
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null_data = '''null, null, null, null, null, null, null, null, null, null, null, null, null, null'''
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zero_data = "0, 0, 0, 0, 0, 0, 0, 'binary_0', 'nchar_0', 0, 0, 0, 0, 0"
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for i in range(self.rows):
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row_data = f'''
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{data.int_data[i]}, {data.bint_data[i]}, {data.sint_data[i]}, {data.tint_data[i]}, {data.float_data[i]}, {data.double_data[i]},
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{data.bool_data[i]}, '{data.binary_data[i]}', '{data.nchar_data[i]}', {data.ts_data[i]}, {data.tint_un_data[i]},
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{data.sint_un_data[i]}, {data.int_un_data[i]}, {data.bint_un_data[i]}
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'''
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neg_row_data = f'''
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{-1 * data.int_data[i]}, {-1 * data.bint_data[i]}, {-1 * data.sint_data[i]}, {-1 * data.tint_data[i]}, {-1 * data.float_data[i]}, {-1 * data.double_data[i]},
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{data.bool_data[i]}, '{data.binary_data[i]}', '{data.nchar_data[i]}', {data.ts_data[i]}, {1 * data.tint_un_data[i]},
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{1 * data.sint_un_data[i]}, {1 * data.int_un_data[i]}, {1 * data.bint_un_data[i]}
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'''
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tdSql.execute(
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f"insert into ct1 values ( {NOW - i * TIME_STEP}, {row_data} )")
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tdSql.execute(
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f"insert into ct2 values ( {NOW - i * int(TIME_STEP * 0.6)}, {neg_row_data} )")
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tdSql.execute(
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f"insert into ct4 values ( {NOW - i * int(TIME_STEP * 0.8) }, {row_data} )")
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tdSql.execute(
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f"insert into {NTBNAME} values ( {NOW - i * int(TIME_STEP * 1.2)}, {row_data} )")
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tdSql.execute(
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f"insert into ct2 values ( {NOW + int(TIME_STEP * 0.6)}, {null_data} )")
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tdSql.execute(
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f"insert into ct2 values ( {NOW - (self.rows + 1) * int(TIME_STEP * 0.6)}, {null_data} )")
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tdSql.execute(
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f"insert into ct2 values ( {NOW - self.rows * int(TIME_STEP * 0.29) }, {null_data} )")
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tdSql.execute(
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f"insert into ct4 values ( {NOW + int(TIME_STEP * 0.8)}, {null_data} )")
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tdSql.execute(
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f"insert into ct4 values ( {NOW - (self.rows + 1) * int(TIME_STEP * 0.8)}, {null_data} )")
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tdSql.execute(
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f"insert into ct4 values ( {NOW - self.rows * int(TIME_STEP * 0.39)}, {null_data} )")
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tdSql.execute(
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f"insert into {NTBNAME} values ( {NOW + int(TIME_STEP * 1.2)}, {null_data} )")
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tdSql.execute(
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f"insert into {NTBNAME} values ( {NOW - (self.rows + 1) * int(TIME_STEP * 1.2)}, {null_data} )")
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tdSql.execute(
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f"insert into {NTBNAME} values ( {NOW - self.rows * int(TIME_STEP * 0.59)}, {null_data} )")
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def run(self):
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self.rows = 10
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tdLog.printNoPrefix("==========step0:all check")
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tdLog.printNoPrefix("==========step1:create table in normal database")
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tdSql.prepare()
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self.__create_tb()
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self.__insert_data()
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self.all_test()
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return
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tdLog.printNoPrefix("==========step2:create table in rollup database")
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tdSql.execute("create database db3 retentions 1s:4m,2s:8m,3s:12m")
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tdSql.execute("use db3")
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self.__create_tb()
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self.__insert_data()
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tdSql.execute("drop database if exists db1 ")
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tdSql.execute("drop database if exists db2 ")
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tdDnodes.stop(1)
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tdDnodes.start(1)
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tdLog.printNoPrefix("==========step4:after wal, all check again ")
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self.all_test()
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def stop(self):
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tdSql.close()
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tdLog.success(f"{__file__} successfully executed")
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tdCases.addLinux(__file__, TDTestCase())
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tdCases.addWindows(__file__, TDTestCase())
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