提交 8be02e14 编写于 作者: C cpwu

fix case

上级 dfcded5c
......@@ -195,7 +195,7 @@ class TDTestCase:
if tdSql.cursor.istype(col, "BIGINT UNSIGNED"):
return "BIGINT UNSIGNED"
def hyperloglog_check(self):
def explain_check(self):
sqls = self.sql_list()
tdLog.printNoPrefix("===step 1: curent case, must return query OK")
for i in range(len(sqls)):
......@@ -210,7 +210,7 @@ class TDTestCase:
tdSql.query("explain select ct2.c3 from ct4 join ct2 on ct4.ts=ct2.ts")
tdSql.query("explain select c1 from stb1 where c1 is not null and c1 in (0, 1, 2) or c1 between 2 and 100 ")
self.hyperloglog_check()
self.explain_check()
def __test_error(self):
......
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"{tbname}.{col}" for col in ALL_COL]
for num_col in NUM_COL:
query_condition.extend(
(
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"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,
''' "test1234!@#$%^&*():'><?/.,][}{" ''',
"null"
)
)
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]
elif query_conditon.startswith("avg"):
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]
elif col.startswith("avg"):
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, start_val=0, step_val=0, 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 leastsquares({select_clause}, {start_val}, {step_val}) from {from_clause} {where_condition} {group_condition}"
@property
def __tb_list(self):
return [
"ct1",
"ct4",
"t1",
"ct2",
"stb1",
]
@property
def start_step_val(self):
return [
1,
0,
1.25,
-2.5,
True,
False,
None,
"",
"str",
]
def sql_list(self):
current_sqls = []
err_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")
for arg in self.start_step_val:
if not isinstance(arg,int):
err_sqls.extend(
(
self.__single_sql(select_clause=select_claus, from_clause=tb, start_val=arg),
self.__single_sql(select_clause=select_claus, from_clause=tb, step_val=arg, group_condition=group_claus),
self.__single_sql(select_clause=select_claus, from_clause=tb, start_val=arg, step_val=arg, where_condition=where_claus, group_condition=having_claus),
)
)
else:
current_sqls.extend(
(
self.__single_sql(select_clause=select_claus, from_clause=tb, start_val=arg),
self.__single_sql(select_clause=select_claus, from_clause=tb, step_val=arg, group_condition=group_claus),
self.__single_sql(select_clause=select_claus, from_clause=tb, start_val=arg, step_val=arg, where_condition=where_claus, group_condition=having_claus),
)
)
# return filter(None, sqls)
return list(filter(None, current_sqls)), list(filter(None, err_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 leastsquares_check(self):
current_sqls, err_sqls = self.sql_list()
for i in range(len(err_sqls)):
tdSql.error(err_sqls[i])
tdLog.printNoPrefix("===step 1: curent case, must return query OK")
for i in range(len(current_sqls)):
tdLog.info(f"sql: {current_sqls[i]}")
tdSql.query(current_sqls[i])
def __test_current(self):
tdSql.query("explain select c1 from ct1")
tdSql.query("explain select 1 from ct2")
tdSql.query("explain select cast(ceil(c6) as bigint) from ct4 group by c6")
tdSql.query("explain select count(c3) from ct4 group by c7 having count(c3) > 0")
tdSql.query("explain select ct2.c3 from ct4 join ct2 on ct4.ts=ct2.ts")
tdSql.query("explain select c1 from stb1 where c1 is not null and c1 in (0, 1, 2) or c1 between 2 and 100 ")
self.leastsquares_check()
def __test_error(self):
tdLog.printNoPrefix("===step 0: err case, must return err")
tdSql.error( "explain select hyperloglog(c1) from ct8" )
tdSql.error( "explain show databases " )
tdSql.error( "explain show stables " )
tdSql.error( "explain show tables " )
tdSql.error( "explain show vgroups " )
tdSql.error( "explain show dnodes " )
tdSql.error( '''explain 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())
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册