diff --git a/tests/system-test/2-query/explain.py b/tests/system-test/2-query/explain.py new file mode 100644 index 0000000000000000000000000000000000000000..b452da0a355f0731f8f0e07afd66bb2da86b6761 --- /dev/null +++ b/tests/system-test/2-query/explain.py @@ -0,0 +1,359 @@ +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())