fix case

tests/system-test/2-query/explain.py

+import datetime
+
+from util.log import *
+from util.sql import *
+from util.cases import *
+from util.dnodes import *
+
+PRIMARY_COL = "ts"
+
+INT_COL     = "c1"
+BINT_COL    = "c2"
+SINT_COL    = "c3"
+TINT_COL    = "c4"
+FLOAT_COL   = "c5"
+DOUBLE_COL  = "c6"
+BOOL_COL    = "c7"
+
+BINARY_COL  = "c8"
+NCHAR_COL   = "c9"
+TS_COL      = "c10"
+
+NUM_COL     = [ INT_COL, BINT_COL, SINT_COL, TINT_COL, FLOAT_COL, DOUBLE_COL, ]
+CHAR_COL    = [ BINARY_COL, NCHAR_COL, ]
+BOOLEAN_COL = [ BOOL_COL, ]
+TS_TYPE_COL = [ TS_COL, ]
+
+ALL_COL = [ INT_COL, BINT_COL, SINT_COL, TINT_COL, FLOAT_COL, DOUBLE_COL, BOOL_COL, BINARY_COL, NCHAR_COL, TS_COL ]
+
+class TDTestCase:
+
+    def init(self, conn, logSql):
+        tdLog.debug(f"start to excute {__file__}")
+        tdSql.init(conn.cursor())
+
+    def __query_condition(self,tbname):
+        query_condition = [f"cast({col} as bigint)" for col in ALL_COL]
+        for num_col in NUM_COL:
+            query_condition.extend(
+                (
+                    f"{tbname}.{num_col}",
+                    f"abs( {tbname}.{num_col} )",
+                    f"acos( {tbname}.{num_col} )",
+                    f"asin( {tbname}.{num_col} )",
+                    f"atan( {tbname}.{num_col} )",
+                    f"avg( {tbname}.{num_col} )",
+                    f"ceil( {tbname}.{num_col} )",
+                    f"cos( {tbname}.{num_col} )",
+                    f"count( {tbname}.{num_col} )",
+                    f"floor( {tbname}.{num_col} )",
+                    f"log( {tbname}.{num_col},  {tbname}.{num_col})",
+                    f"max( {tbname}.{num_col} )",
+                    f"min( {tbname}.{num_col} )",
+                    f"pow( {tbname}.{num_col}, 2)",
+                    f"round( {tbname}.{num_col} )",
+                    f"sum( {tbname}.{num_col} )",
+                    f"sin( {tbname}.{num_col} )",
+                    f"sqrt( {tbname}.{num_col} )",
+                    f"tan( {tbname}.{num_col} )",
+                    f"cast( {tbname}.{num_col} as timestamp)",
+                )
+            )
+            query_condition.extend((f"{num_col} + {any_col}" for any_col in ALL_COL))
+        for char_col in CHAR_COL:
+            query_condition.extend(
+                (
+                    f"count({tbname}.{char_col})",
+                    f"sum(cast({tbname}.{char_col}) as bigint)",
+                    f"max(cast({tbname}.{char_col}) as bigint)",
+                    f"min(cast({tbname}.{char_col}) as bigint)",
+                    f"avg(cast({tbname}.{char_col}) as bigint)",
+                )
+            )
+        # query_condition.extend(
+        #     (
+        #         1010,
+        #     )
+        # )
+
+        return query_condition
+
+    def __join_condition(self, tb_list, filter=PRIMARY_COL, INNER=False):
+        table_reference = tb_list[0]
+        join_condition = table_reference
+        join = "inner join" if INNER else "join"
+        for i in range(len(tb_list[1:])):
+            join_condition += f" {join} {tb_list[i+1]} on {table_reference}.{filter}={tb_list[i+1]}.{filter}"
+
+        return join_condition
+
+    def __where_condition(self, col=None, tbname=None, query_conditon=None):
+        if query_conditon and isinstance(query_conditon, str):
+            if query_conditon.startswith("count"):
+                query_conditon = query_conditon[6:-1]
+            elif query_conditon.startswith("max"):
+                query_conditon = query_conditon[4:-1]
+            elif query_conditon.startswith("sum"):
+                query_conditon = query_conditon[4:-1]
+            elif query_conditon.startswith("min"):
+                query_conditon = query_conditon[4:-1]
+
+        if query_conditon:
+            return f" where {query_conditon} is not null"
+        if col in NUM_COL:
+            return f" where abs( {tbname}.{col} ) >= 0"
+        if col in CHAR_COL:
+            return f" where lower( {tbname}.{col} ) like 'bina%' or lower( {tbname}.{col} ) like '_cha%' "
+        if col in BOOLEAN_COL:
+            return f" where {tbname}.{col} in (false, true)  "
+        if col in TS_TYPE_COL or col in PRIMARY_COL:
+            return f" where cast( {tbname}.{col} as binary(16) ) is not null "
+
+        return ""
+
+    def __group_condition(self, col, having = None):
+        if isinstance(col, str):
+            if col.startswith("count"):
+                col = col[6:-1]
+            elif col.startswith("max"):
+                col = col[4:-1]
+            elif col.startswith("sum"):
+                col = col[4:-1]
+            elif col.startswith("min"):
+                col = col[4:-1]
+        return f" group by {col} having {having}" if having else f" group by {col} "
+
+    def __single_sql(self, select_clause, from_clause, where_condition="", group_condition=""):
+        if isinstance(select_clause, str) and "on" not in from_clause and select_clause.split(".")[0].split("(")[-1] != from_clause.split(".")[0]:
+            return
+        return f"select hyperloglog({select_clause}) from {from_clause} {where_condition} {group_condition}"
+
+    @property
+    def __tb_list(self):
+        return [
+            "ct1",
+            "ct4",
+            "t1",
+            "ct2",
+            "stb1",
+        ]
+
+    def sql_list(self):
+        sqls = []
+        __no_join_tblist = self.__tb_list
+        for tb in __no_join_tblist:
+                select_claus_list = self.__query_condition(tb)
+                for select_claus in select_claus_list:
+                    group_claus = self.__group_condition(col=select_claus)
+                    where_claus = self.__where_condition(query_conditon=select_claus)
+                    having_claus = self.__group_condition(col=select_claus, having=f"{select_claus} is not null")
+                    sqls.extend(
+                        (
+                            self.__single_sql(select_claus, tb, where_claus, having_claus),
+                            self.__single_sql(select_claus, tb,),
+                            self.__single_sql(select_claus, tb, where_condition=where_claus),
+                            self.__single_sql(select_claus, tb, group_condition=group_claus),
+                        )
+                    )
+
+        # return filter(None, sqls)
+        return list(filter(None, sqls))
+
+    def __get_type(self, col):
+        if tdSql.cursor.istype(col, "BOOL"):
+            return "BOOL"
+        if tdSql.cursor.istype(col, "INT"):
+            return "INT"
+        if tdSql.cursor.istype(col, "BIGINT"):
+            return "BIGINT"
+        if tdSql.cursor.istype(col, "TINYINT"):
+            return "TINYINT"
+        if tdSql.cursor.istype(col, "SMALLINT"):
+            return "SMALLINT"
+        if tdSql.cursor.istype(col, "FLOAT"):
+            return "FLOAT"
+        if tdSql.cursor.istype(col, "DOUBLE"):
+            return "DOUBLE"
+        if tdSql.cursor.istype(col, "BINARY"):
+            return "BINARY"
+        if tdSql.cursor.istype(col, "NCHAR"):
+            return "NCHAR"
+        if tdSql.cursor.istype(col, "TIMESTAMP"):
+            return "TIMESTAMP"
+        if tdSql.cursor.istype(col, "JSON"):
+            return "JSON"
+        if tdSql.cursor.istype(col, "TINYINT UNSIGNED"):
+            return "TINYINT UNSIGNED"
+        if tdSql.cursor.istype(col, "SMALLINT UNSIGNED"):
+            return "SMALLINT UNSIGNED"
+        if tdSql.cursor.istype(col, "INT UNSIGNED"):
+            return "INT UNSIGNED"
+        if tdSql.cursor.istype(col, "BIGINT UNSIGNED"):
+            return "BIGINT UNSIGNED"
+
+    def hyperloglog_check(self):
+        sqls = self.sql_list()
+        tdLog.printNoPrefix("===step 1: curent case, must return query OK")
+        for i in range(len(sqls)):
+            tdLog.info(f"sql: {sqls[i]}")
+            tdSql.query(sqls[i])
+
+    def __test_current(self):
+        tdSql.query("select hyperloglog(ts) from ct1")
+        tdSql.checkRows(1)
+        tdSql.query("select hyperloglog(c1) from ct2")
+        tdSql.checkRows(1)
+        tdSql.query("select hyperloglog(c1) from ct4 group by c1")
+        tdSql.checkRows(self.rows + 3)
+        tdSql.query("select hyperloglog(c1) from ct4 group by c7")
+        tdSql.checkRows(3)
+        tdSql.query("select hyperloglog(ct2.c1) from ct4 join ct2 on ct4.ts=ct2.ts")
+        tdSql.checkRows(1)
+        tdSql.checkData(0, 0, self.rows + 2)
+        tdSql.query("select hyperloglog(c1), c1 from stb1 group by c1")
+        for i in range(tdSql.queryRows):
+            tdSql.checkData(i, 0, 1) if  tdSql.queryResult[i][1] is not None else tdSql.checkData(i, 0, 0)
+
+        self.hyperloglog_check()
+
+    def __test_error(self):
+
+        tdLog.printNoPrefix("===step 0: err case, must return err")
+        tdSql.error( "select hyperloglog() from ct1" )
+        tdSql.error( "select hyperloglog(c1, c2) from ct2" )
+        tdSql.error( "select hyperloglog(1) from ct2" )
+        tdSql.error( f"select hyperloglog({NUM_COL[0]}, {NUM_COL[1]}) from ct4" )
+        tdSql.error( ''' select hyperloglog(['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10'])
+                    from ct1
+                    where ['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10'] is not null
+                    group by ['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10']
+                    having ['c1 + c1', 'c1 + c2', 'c1 + c3', 'c1 + c4', 'c1 + c5', 'c1 + c6', 'c1 + c7', 'c1 + c8', 'c1 + c9', 'c1 + c10'] is not null ''' )
+
+    def all_test(self):
+        self.__test_error()
+        self.__test_current()
+
+    def __create_tb(self):
+
+        tdLog.printNoPrefix("==========step1:create table")
+        create_stb_sql  =  f'''create table stb1(
+                ts timestamp, {INT_COL} int, {BINT_COL} bigint, {SINT_COL} smallint, {TINT_COL} tinyint,
+                 {FLOAT_COL} float, {DOUBLE_COL} double, {BOOL_COL} bool,
+                 {BINARY_COL} binary(16), {NCHAR_COL} nchar(32), {TS_COL} timestamp
+            ) tags (t1 int)
+            '''
+        create_ntb_sql = f'''create table t1(
+                ts timestamp, {INT_COL} int, {BINT_COL} bigint, {SINT_COL} smallint, {TINT_COL} tinyint,
+                 {FLOAT_COL} float, {DOUBLE_COL} double, {BOOL_COL} bool,
+                 {BINARY_COL} binary(16), {NCHAR_COL} nchar(32), {TS_COL} timestamp
+            )
+            '''
+        tdSql.execute(create_stb_sql)
+        tdSql.execute(create_ntb_sql)
+
+        for i in range(4):
+            tdSql.execute(f'create table ct{i+1} using stb1 tags ( {i+1} )')
+            { i % 32767 }, { i % 127}, { i * 1.11111 }, { i * 1000.1111 }, { i % 2}
+
+    def __insert_data(self, rows):
+        now_time = int(datetime.datetime.timestamp(datetime.datetime.now()) * 1000)
+        for i in range(rows):
+            tdSql.execute(
+                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 } )"
+            )
+            tdSql.execute(
+                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 } )"
+            )
+            tdSql.execute(
+                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 } )"
+            )
+        tdSql.execute(
+            f'''insert into ct1 values
+            ( { now_time - rows * 5 }, 0, 0, 0, 0, 0, 0, 0, 'binary0', 'nchar_测试_0', { now_time + 8 } )
+            ( { now_time + 10000 }, { rows }, -99999, -999, -99, -9.99, -99.99, 1, 'binary9', 'nchar_测试_9', { now_time + 9 } )
+            '''
+        )
+
+        tdSql.execute(
+            f'''insert into ct4 values
+            ( { now_time - rows * 7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
+            ( { now_time - rows * 3888000000 + 10800000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
+            ( { now_time +  7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
+            (
+                { now_time + 5184000000}, {pow(2,31)-pow(2,15)}, {pow(2,63)-pow(2,30)}, 32767, 127,
+                { 3.3 * pow(10,38) }, { 1.3 * pow(10,308) }, { rows % 2 }, "binary_limit-1", "nchar_测试_limit-1", { now_time - 86400000}
+                )
+            (
+                { now_time + 2592000000 }, {pow(2,31)-pow(2,16)}, {pow(2,63)-pow(2,31)}, 32766, 126,
+                { 3.2 * pow(10,38) }, { 1.2 * pow(10,308) }, { (rows-1) % 2 }, "binary_limit-2", "nchar_测试_limit-2", { now_time - 172800000}
+                )
+            '''
+        )
+
+        tdSql.execute(
+            f'''insert into ct2 values
+            ( { now_time - rows * 7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
+            ( { now_time - rows * 3888000000 + 10800000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
+            ( { now_time + 7776000000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
+            (
+                { now_time + 5184000000 }, { -1 * pow(2,31) + pow(2,15) }, { -1 * pow(2,63) + pow(2,30) }, -32766, -126,
+                { -1 * 3.2 * pow(10,38) }, { -1.2 * pow(10,308) }, { rows % 2 }, "binary_limit-1", "nchar_测试_limit-1", { now_time - 86400000 }
+                )
+            (
+                { now_time + 2592000000 }, { -1 * pow(2,31) + pow(2,16) }, { -1 * pow(2,63) + pow(2,31) }, -32767, -127,
+                { - 3.3 * pow(10,38) }, { -1.3 * pow(10,308) }, { (rows-1) % 2 }, "binary_limit-2", "nchar_测试_limit-2", { now_time - 172800000 }
+                )
+            '''
+        )
+
+        for i in range(rows):
+            insert_data = f'''insert into t1 values
+                ( { now_time - i * 3600000 }, {i}, {i * 11111}, { i % 32767 }, { i % 127}, { i * 1.11111 }, { i * 1000.1111 }, { i % 2},
+                "binary_{i}", "nchar_测试_{i}", { now_time - 1000 * i } )
+                '''
+            tdSql.execute(insert_data)
+        tdSql.execute(
+            f'''insert into t1 values
+            ( { now_time + 10800000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
+            ( { now_time - (( rows // 2 ) * 60 + 30) * 60000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
+            ( { now_time - rows * 3600000 }, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
+            ( { now_time + 7200000 }, { pow(2,31) - pow(2,15) }, { pow(2,63) - pow(2,30) }, 32767, 127,
+                { 3.3 * pow(10,38) }, { 1.3 * pow(10,308) }, { rows % 2 },
+                "binary_limit-1", "nchar_测试_limit-1", { now_time - 86400000 }
+                )
+            (
+                { now_time + 3600000 } , { pow(2,31) - pow(2,16) }, { pow(2,63) - pow(2,31) }, 32766, 126,
+                { 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())