add case for distribute aggregate plan of max function

This commit is contained in:
wenzhouwww@live.cn 2022-06-14 15:15:50 +08:00
parent 9dcf785474
commit fb61efa8c4
1 changed files with 143 additions and 1 deletions

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@ -5,6 +5,10 @@ import numpy as np
class TDTestCase: class TDTestCase:
updatecfgDict = {'debugFlag': 143 ,"cDebugFlag":143,"uDebugFlag":143 ,"rpcDebugFlag":143 , "tmrDebugFlag":143 ,
"jniDebugFlag":143 ,"simDebugFlag":143,"dDebugFlag":143, "dDebugFlag":143,"vDebugFlag":143,"mDebugFlag":143,"qDebugFlag":143,
"wDebugFlag":143,"sDebugFlag":143,"tsdbDebugFlag":143,"tqDebugFlag":143 ,"fsDebugFlag":143 ,"fnDebugFlag":143,
"maxTablesPerVnode":2 ,"minTablesPerVnode":2,"tableIncStepPerVnode":2 }
def init(self, conn, logSql): def init(self, conn, logSql):
tdLog.debug("start to execute %s" % __file__) tdLog.debug("start to execute %s" % __file__)
tdSql.init(conn.cursor()) tdSql.init(conn.cursor())
@ -14,7 +18,141 @@ class TDTestCase:
def prepare_data(self): def prepare_data(self):
pass pass
def check_max_functions(self, tbname , col_name):
max_sql = f"select max({col_name}) from {tbname};"
same_sql = f"select {col_name} from {tbname} order by {col_name} desc limit 1"
tdSql.query(max_sql)
max_result = tdSql.queryResult
tdSql.query(same_sql)
same_result = tdSql.queryResult
if max_result !=same_result:
tdLog.exit(" max function work not as expected, sql : %s "% max_sql)
else:
tdLog.info(" max function work as expected, sql : %s "% max_sql)
def support_distributed_aggregate(self):
# prepate datas for 20 tables distributed at different vgroups
tdSql.execute("create database if not exists testdb keep 3650 days 1000 vgroups 5")
tdSql.execute(" use testdb ")
tdSql.execute(
'''create table stb1
(ts timestamp, c1 int, c2 bigint, c3 smallint, c4 tinyint, c5 float, c6 double, c7 bool, c8 binary(16),c9 nchar(32), c10 timestamp)
tags (t0 timestamp, t1 int, t2 bigint, t3 smallint, t4 tinyint, t5 float, t6 double, t7 bool, t8 binary(16),t9 nchar(32))
'''
)
tdSql.execute(
'''
create table t1
(ts timestamp, c1 int, c2 bigint, c3 smallint, c4 tinyint, c5 float, c6 double, c7 bool, c8 binary(16),c9 nchar(32), c10 timestamp)
'''
)
for i in range(20):
tdSql.execute(f'create table ct{i+1} using stb1 tags ( now(), {1*i}, {11111*i}, {111*i}, {11*i}, {1.11*i}, {11.11*i}, {i%2}, "binary{i}", "nchar{i}" )')
for i in range(9):
tdSql.execute(
f"insert into ct1 values ( now()-{i*10}s, {1*i}, {11111*i}, {111*i}, {11*i}, {1.11*i}, {11.11*i}, {i%2}, 'binary{i}', 'nchar{i}', now()+{1*i}a )"
)
tdSql.execute(
f"insert into ct4 values ( now()-{i*90}d, {1*i}, {11111*i}, {111*i}, {11*i}, {1.11*i}, {11.11*i}, {i%2}, 'binary{i}', 'nchar{i}', now()+{1*i}a )"
)
for i in range(1,21):
if i ==1 or i == 4:
continue
else:
tbname = "ct"+f'{i}'
for j in range(9):
tdSql.execute(
f"insert into {tbname} values ( now()-{(i+j)*10}s, {1*(j+i)}, {11111*(j+i)}, {111*(j+i)}, {11*(j)}, {1.11*(j+i)}, {11.11*(j+i)}, {(j+i)%2}, 'binary{j}', 'nchar{j}', now()+{1*j}a )"
)
tdSql.execute("insert into ct1 values (now()-45s, 0, 0, 0, 0, 0, 0, 0, 'binary0', 'nchar0', now()+8a )")
tdSql.execute("insert into ct1 values (now()+10s, 9, -99999, -999, -99, -9.99, -99.99, 1, 'binary9', 'nchar9', now()+9a )")
tdSql.execute("insert into ct1 values (now()+15s, 9, -99999, -999, -99, -9.99, NULL, 1, 'binary9', 'nchar9', now()+9a )")
tdSql.execute("insert into ct1 values (now()+20s, 9, -99999, -999, NULL, -9.99, -99.99, 1, 'binary9', 'nchar9', now()+9a )")
tdSql.execute("insert into ct4 values (now()-810d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
tdSql.execute("insert into ct4 values (now()-400d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
tdSql.execute("insert into ct4 values (now()+90d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
tdSql.execute(
f'''insert into t1 values
( '2020-04-21 01:01:01.000', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
( '2020-10-21 01:01:01.000', 1, 11111, 111, 11, 1.11, 11.11, 1, "binary1", "nchar1", now()+1a )
( '2020-12-31 01:01:01.000', 2, 22222, 222, 22, 2.22, 22.22, 0, "binary2", "nchar2", now()+2a )
( '2021-01-01 01:01:06.000', 3, 33333, 333, 33, 3.33, 33.33, 0, "binary3", "nchar3", now()+3a )
( '2021-05-07 01:01:10.000', 4, 44444, 444, 44, 4.44, 44.44, 1, "binary4", "nchar4", now()+4a )
( '2021-07-21 01:01:01.000', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
( '2021-09-30 01:01:16.000', 5, 55555, 555, 55, 5.55, 55.55, 0, "binary5", "nchar5", now()+5a )
( '2022-02-01 01:01:20.000', 6, 66666, 666, 66, 6.66, 66.66, 1, "binary6", "nchar6", now()+6a )
( '2022-10-28 01:01:26.000', 7, 00000, 000, 00, 0.00, 00.00, 1, "binary7", "nchar7", "1970-01-01 08:00:00.000" )
( '2022-12-01 01:01:30.000', 8, -88888, -888, -88, -8.88, -88.88, 0, "binary8", "nchar8", "1969-01-01 01:00:00.000" )
( '2022-12-31 01:01:36.000', 9, -99999999999999999, -999, -99, -9.99, -999999999999999999999.99, 1, "binary9", "nchar9", "1900-01-01 00:00:00.000" )
( '2023-02-21 01:01:01.000', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
'''
)
tdLog.info(" prepare data for distributed_aggregate done! ")
# get vgroup_ids of all
tdSql.query("show vgroups ")
vgroups = tdSql.queryResult
vnode_tables={}
for vgroup_id in vgroups:
vnode_tables[vgroup_id[0]]=[]
# check sub_table of per vnode ,make sure sub_table has been distributed
tdSql.query("show tables like 'ct%'")
table_names = tdSql.queryResult
tablenames = []
for table_name in table_names:
vnode_tables[table_name[6]].append(table_name[0])
count = 0
for k ,v in vnode_tables.items():
if len(v)>=2:
count+=1
if count < 2:
tdLog.exit(" the datas of all not satisfy sub_table has been distributed ")
# check max function work status
tdSql.query("show tables like 'ct%'")
table_names = tdSql.queryResult
tablenames = []
for table_name in table_names:
tablenames.append(table_name[0])
tdSql.query("desc stb1")
col_names = tdSql.queryResult
colnames = []
for col_name in col_names:
if col_name[1] in ["INT" ,"BIGINT" ,"SMALLINT" ,"TINYINT" , "FLOAT" ,"DOUBLE"]:
colnames.append(col_name[0])
for tablename in tablenames:
for colname in colnames:
self.check_max_functions(tablename,colname)
# max function with basic filter
print(vnode_tables)
def run(self): def run(self):
tdSql.prepare() tdSql.prepare()
@ -197,6 +335,10 @@ class TDTestCase:
tdSql.checkData(0, 0, np.max(floatData)) tdSql.checkData(0, 0, np.max(floatData))
tdSql.query("select max(col1) from stb_1 where col2<=5") tdSql.query("select max(col1) from stb_1 where col2<=5")
tdSql.checkData(0,0,5) tdSql.checkData(0,0,5)
self.support_distributed_aggregate()
def stop(self): def stop(self):
tdSql.close() tdSql.close()
tdLog.success("%s successfully executed" % __file__) tdLog.success("%s successfully executed" % __file__)