362 lines
		
	
	
		
			16 KiB
		
	
	
	
		
			Python
		
	
	
	
			
		
		
	
	
			362 lines
		
	
	
		
			16 KiB
		
	
	
	
		
			Python
		
	
	
	
import datetime
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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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PRIMARY_COL = "ts"
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INT_COL     = "c1"
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BINT_COL    = "c2"
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SINT_COL    = "c3"
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TINT_COL    = "c4"
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FLOAT_COL   = "c5"
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DOUBLE_COL  = "c6"
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BOOL_COL    = "c7"
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BINARY_COL  = "c8"
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NCHAR_COL   = "c9"
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TS_COL      = "c10"
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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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ALL_COL = [ INT_COL, BINT_COL, SINT_COL, TINT_COL, FLOAT_COL, DOUBLE_COL, BOOL_COL, BINARY_COL, NCHAR_COL, TS_COL ]
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class TDTestCase:
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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())
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    def __query_condition(self,tbname):
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        query_condition = [f"cast({col} as bigint)" for col in ALL_COL]
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        for num_col in NUM_COL:
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            query_condition.extend(
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                (
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                    f"{tbname}.{num_col}",
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                    f"abs( {tbname}.{num_col} )",
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                    f"acos( {tbname}.{num_col} )",
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                    f"asin( {tbname}.{num_col} )",
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                    f"atan( {tbname}.{num_col} )",
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                    f"avg( {tbname}.{num_col} )",
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                    f"ceil( {tbname}.{num_col} )",
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                    f"cos( {tbname}.{num_col} )",
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                    f"count( {tbname}.{num_col} )",
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                    f"floor( {tbname}.{num_col} )",
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                    f"log( {tbname}.{num_col},  {tbname}.{num_col})",
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                    f"max( {tbname}.{num_col} )",
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                    f"min( {tbname}.{num_col} )",
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                    f"pow( {tbname}.{num_col}, 2)",
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                    f"round( {tbname}.{num_col} )",
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                    f"sum( {tbname}.{num_col} )",
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                    f"sin( {tbname}.{num_col} )",
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                    f"sqrt( {tbname}.{num_col} )",
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                    f"tan( {tbname}.{num_col} )",
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                    f"cast( {tbname}.{num_col} as timestamp)",
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                )
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            )
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            query_condition.extend((f"{num_col} + {any_col}" for any_col in ALL_COL))
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        for char_col in CHAR_COL:
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            query_condition.extend(
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                (
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                    f"count({tbname}.{char_col})",
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                    f"sum(cast({tbname}.{char_col}) as bigint)",
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                    f"max(cast({tbname}.{char_col}) as bigint)",
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                    f"min(cast({tbname}.{char_col}) as bigint)",
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                    f"avg(cast({tbname}.{char_col}) as bigint)",
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                )
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            )
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        # query_condition.extend(
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        #     (
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        #         1010,
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        #     )
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        # )
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        return query_condition
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    def __join_condition(self, tb_list, filter=PRIMARY_COL, INNER=False):
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        table_reference = tb_list[0]
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        join_condition = table_reference
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        join = "inner join" if INNER else "join"
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        for i in range(len(tb_list[1:])):
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            join_condition += f" {join} {tb_list[i+1]} on {table_reference}.{filter}={tb_list[i+1]}.{filter}"
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        return join_condition
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    def __where_condition(self, col=None, tbname=None, query_conditon=None):
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        if query_conditon and isinstance(query_conditon, str):
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            if query_conditon.startswith("count"):
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                query_conditon = query_conditon[6:-1]
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            elif query_conditon.startswith("max"):
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                query_conditon = query_conditon[4:-1]
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            elif query_conditon.startswith("sum"):
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                query_conditon = query_conditon[4:-1]
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            elif query_conditon.startswith("min"):
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                query_conditon = query_conditon[4:-1]
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        if query_conditon:
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            return f" where {query_conditon} is not null"
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        if col in NUM_COL:
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            return f" where abs( {tbname}.{col} ) >= 0"
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        if col in CHAR_COL:
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            return f" where lower( {tbname}.{col} ) like 'bina%' or lower( {tbname}.{col} ) like '_cha%' "
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        if col in BOOLEAN_COL:
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            return f" where {tbname}.{col} in (false, true)  "
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        if col in TS_TYPE_COL or col in PRIMARY_COL:
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            return f" where cast( {tbname}.{col} as binary(16) ) is not null "
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        return ""
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    def __group_condition(self, col, having = None):
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        if isinstance(col, str):
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            if col.startswith("count"):
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                col = col[6:-1]
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            elif col.startswith("max"):
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                col = col[4:-1]
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            elif col.startswith("sum"):
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                col = col[4:-1]
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            elif col.startswith("min"):
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                col = col[4:-1]
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        return f" group by {col} having {having}" if having else f" group by {col} "
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    def __single_sql(self, select_clause, from_clause, where_condition="", group_condition=""):
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        if isinstance(select_clause, str) and "on" not in from_clause and select_clause.split(".")[0] != from_clause.split(".")[0]:
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            return
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        return f"select hyperloglog({select_clause}) from {from_clause} {where_condition} {group_condition}"
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    @property
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    def __tb_list(self):
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        return [
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            "ct1",
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            "ct4",
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            "t1",
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            "ct2",
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            "stb1",
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        ]
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    def sql_list(self):
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        sqls = []
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        __no_join_tblist = self.__tb_list
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        for tb in __no_join_tblist:
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                select_claus_list = self.__query_condition(tb)
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                for select_claus in select_claus_list:
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                    group_claus = self.__group_condition(col=select_claus)
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                    where_claus = self.__where_condition(query_conditon=select_claus)
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                    having_claus = self.__group_condition(col=select_claus, having=f"{select_claus} is not null")
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                    sqls.extend(
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                        (
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                            self.__single_sql(select_claus, tb, where_claus, having_claus),
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                            self.__single_sql(select_claus, tb,),
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                            self.__single_sql(select_claus, tb, where_condition=where_claus),
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                            self.__single_sql(select_claus, tb, group_condition=group_claus),
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                        )
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                    )
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        # return filter(None, sqls)
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        return list(filter(None, sqls))
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    def __get_type(self, col):
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        if tdSql.cursor.istype(col, "BOOL"):
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            return "BOOL"
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        if tdSql.cursor.istype(col, "INT"):
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            return "INT"
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        if tdSql.cursor.istype(col, "BIGINT"):
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            return "BIGINT"
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        if tdSql.cursor.istype(col, "TINYINT"):
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            return "TINYINT"
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        if tdSql.cursor.istype(col, "SMALLINT"):
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            return "SMALLINT"
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        if tdSql.cursor.istype(col, "FLOAT"):
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            return "FLOAT"
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        if tdSql.cursor.istype(col, "DOUBLE"):
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            return "DOUBLE"
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        if tdSql.cursor.istype(col, "BINARY"):
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            return "BINARY"
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        if tdSql.cursor.istype(col, "NCHAR"):
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            return "NCHAR"
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        if tdSql.cursor.istype(col, "TIMESTAMP"):
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            return "TIMESTAMP"
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        if tdSql.cursor.istype(col, "JSON"):
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            return "JSON"
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        if tdSql.cursor.istype(col, "TINYINT UNSIGNED"):
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            return "TINYINT UNSIGNED"
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        if tdSql.cursor.istype(col, "SMALLINT UNSIGNED"):
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            return "SMALLINT UNSIGNED"
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        if tdSql.cursor.istype(col, "INT UNSIGNED"):
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            return "INT UNSIGNED"
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        if tdSql.cursor.istype(col, "BIGINT UNSIGNED"):
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            return "BIGINT UNSIGNED"
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    def spread_check(self):
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        sqls = self.sql_list()
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        tdLog.printNoPrefix("===step 1: curent case, must return query OK")
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        for i in range(len(sqls)):
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            tdLog.info(f"sql: {sqls[i]}")
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            tdSql.query(sqls[i])
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    def __test_current(self):
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        tdSql.query("select hyperloglog(ts) from ct1")
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        tdSql.checkRows(1)
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        tdSql.query("select hyperloglog(c1) from ct2")
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        tdSql.checkRows(1)
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        tdSql.query("select hyperloglog(c1) from ct4 group by c1")
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        tdSql.checkRows(self.rows + 3)
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        tdSql.query("select hyperloglog(c1) from ct4 group by c7")
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        tdSql.checkRows(3)
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        tdSql.query("select hyperloglog(ct2.c1) from ct4 join ct2 on ct4.ts=ct2.ts")
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        tdSql.checkRows(1)
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        tdSql.checkData(0, 0, self.rows + 2)
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        tdSql.query("select hyperloglog(c1), c1 from stb1 group by c1")
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        for i in range(tdSql.queryRows):
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            tdSql.checkData(i, 0, 1) if  tdSql.queryResult[i][1] is not None else tdSql.checkData(i, 0, 0)
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        self.spread_check()
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    def __test_error(self):
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        tdLog.printNoPrefix("===step 0: err case, must return err")
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        tdSql.error( "select hyperloglog() from ct1" )
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        tdSql.error( "select hyperloglog(c1, c2) from ct2" )
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        # tdSql.error( "select hyperloglog(1) from ct2" )
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        tdSql.error( f"select hyperloglog({NUM_COL[0]}, {NUM_COL[1]}) from ct4" )
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        tdSql.error( ''' select hyperloglog(['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10'])
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                    from ct1
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                    where ['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10'] is not null
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                    group by ['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10']
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                    having ['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10'] is not null ''' )
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    def all_test(self):
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        self.__test_error()
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        self.__test_current()
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    def __create_tb(self):
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        tdLog.printNoPrefix("==========step1:create table")
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        create_stb_sql  =  f'''create table stb1(
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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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            ) tags (t1 int)
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            '''
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        create_ntb_sql = f'''create table t1(
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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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            )
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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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            { i % 32767 }, { i % 127}, { i * 1.11111 }, { i * 1000.1111 }, { i % 2}
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    def __insert_data(self, rows):
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        now_time = int(datetime.datetime.timestamp(datetime.datetime.now()) * 1000)
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        for i in range(rows):
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            tdSql.execute(
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                f"insert into ct1 values ( { now_time - i * 1000 }, {i}, {11111 * i}, {111 * i % 32767 }, {11 * i % 127}, {1.11*i}, {1100.0011*i}, {i%2}, 'binary{i}', 'nchar_测试_{i}', { now_time + 1 * i } )"
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            )
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            tdSql.execute(
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                f"insert into ct4 values ( { now_time - i * 7776000000 }, {i}, {11111 * i}, {111 * i % 32767 }, {11 * i % 127}, {1.11*i}, {1100.0011*i}, {i%2}, 'binary{i}', 'nchar_测试_{i}', { now_time + 1 * i } )"
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            )
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            tdSql.execute(
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                f"insert into ct2 values ( { now_time - i * 7776000000 }, {-i},  {-11111 * i}, {-111 * i % 32767 }, {-11 * i % 127}, {-1.11*i}, {-1100.0011*i}, {i%2}, 'binary{i}', 'nchar_测试_{i}', { now_time + 1 * i } )"
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            )
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        tdSql.execute(
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            f'''insert into ct1 values
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            ( { now_time - rows * 5 }, 0, 0, 0, 0, 0, 0, 0, 'binary0', 'nchar_测试_0', { now_time + 8 } )
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            ( { now_time + 10000 }, { rows }, -99999, -999, -99, -9.99, -99.99, 1, 'binary9', 'nchar_测试_9', { now_time + 9 } )
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            '''
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        )
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        tdSql.execute(
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            f'''insert into ct4 values
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            ( { now_time - rows * 7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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            ( { now_time - rows * 3888000000 + 10800000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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            ( { now_time +  7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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            (
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                { now_time + 5184000000}, {pow(2,31)-pow(2,15)}, {pow(2,63)-pow(2,30)}, 32767, 127,
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                { 3.3 * pow(10,38) }, { 1.3 * pow(10,308) }, { rows % 2 }, "binary_limit-1", "nchar_测试_limit-1", { now_time - 86400000}
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                )
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            (
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                { now_time + 2592000000 }, {pow(2,31)-pow(2,16)}, {pow(2,63)-pow(2,31)}, 32766, 126,
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                { 3.2 * pow(10,38) }, { 1.2 * pow(10,308) }, { (rows-1) % 2 }, "binary_limit-2", "nchar_测试_limit-2", { now_time - 172800000}
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                )
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            '''
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        )
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        tdSql.execute(
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            f'''insert into ct2 values
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            ( { now_time - rows * 7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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            ( { now_time - rows * 3888000000 + 10800000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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            ( { now_time + 7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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            (
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                { now_time + 5184000000 }, { -1 * pow(2,31) + pow(2,15) }, { -1 * pow(2,63) + pow(2,30) }, -32766, -126,
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                { -1 * 3.2 * pow(10,38) }, { -1.2 * pow(10,308) }, { rows % 2 }, "binary_limit-1", "nchar_测试_limit-1", { now_time - 86400000 }
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                )
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            (
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                { now_time + 2592000000 }, { -1 * pow(2,31) + pow(2,16) }, { -1 * pow(2,63) + pow(2,31) }, -32767, -127,
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                { - 3.3 * pow(10,38) }, { -1.3 * pow(10,308) }, { (rows-1) % 2 }, "binary_limit-2", "nchar_测试_limit-2", { now_time - 172800000 }
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                )
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            '''
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        )
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        for i in range(rows):
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            insert_data = f'''insert into t1 values
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                ( { now_time - i * 3600000 }, {i}, {i * 11111}, { i % 32767 }, { i % 127}, { i * 1.11111 }, { i * 1000.1111 }, { i % 2},
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                "binary_{i}", "nchar_测试_{i}", { now_time - 1000 * i } )
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                '''
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            tdSql.execute(insert_data)
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        tdSql.execute(
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            f'''insert into t1 values
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            ( { now_time + 10800000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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            ( { now_time - (( rows // 2 ) * 60 + 30) * 60000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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            ( { now_time - rows * 3600000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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            ( { now_time + 7200000 }, { pow(2,31) - pow(2,15) }, { pow(2,63) - pow(2,30) }, 32767, 127,
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                { 3.3 * pow(10,38) }, { 1.3 * pow(10,308) }, { rows % 2 },
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                "binary_limit-1", "nchar_测试_limit-1", { now_time - 86400000 }
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                )
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            (
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                { now_time + 3600000 } , { pow(2,31) - pow(2,16) }, { pow(2,63) - pow(2,31) }, 32766, 126,
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                { 3.2 * pow(10,38) }, { 1.2 * pow(10,308) }, { (rows-1) % 2 },
 | 
						|
                "binary_limit-2", "nchar_测试_limit-2", { now_time - 172800000 }
 | 
						|
                )
 | 
						|
            '''
 | 
						|
        )
 | 
						|
 | 
						|
 | 
						|
    def run(self):
 | 
						|
        tdSql.prepare()
 | 
						|
 | 
						|
        tdLog.printNoPrefix("==========step1:create table")
 | 
						|
        self.__create_tb()
 | 
						|
 | 
						|
        tdLog.printNoPrefix("==========step2:insert data")
 | 
						|
        self.rows = 10
 | 
						|
        self.__insert_data(self.rows)
 | 
						|
 | 
						|
        tdLog.printNoPrefix("==========step3:all check")
 | 
						|
        self.all_test()
 | 
						|
 | 
						|
        tdDnodes.stop(1)
 | 
						|
        tdDnodes.start(1)
 | 
						|
 | 
						|
        tdSql.execute("use db")
 | 
						|
 | 
						|
        tdLog.printNoPrefix("==========step4:after wal, all check again ")
 | 
						|
        self.all_test()
 | 
						|
 | 
						|
    def stop(self):
 | 
						|
        tdSql.close()
 | 
						|
        tdLog.success(f"{__file__} successfully executed")
 | 
						|
 | 
						|
tdCases.addLinux(__file__, TDTestCase())
 | 
						|
tdCases.addWindows(__file__, TDTestCase())
 |