255 lines
10 KiB
Python
255 lines
10 KiB
Python
from util.log import *
|
|
from util.cases import *
|
|
from util.sql import *
|
|
import numpy as np
|
|
import random ,os ,sys
|
|
import platform
|
|
|
|
|
|
class TDTestCase:
|
|
|
|
updatecfgDict = {"maxTablesPerVnode":2 ,"minTablesPerVnode":2,"tableIncStepPerVnode":2 }
|
|
def init(self, conn, logSql, replicaVar=1):
|
|
self.replicaVar = int(replicaVar)
|
|
tdLog.debug("start to execute %s" % __file__)
|
|
tdSql.init(conn.cursor())
|
|
self.vnode_disbutes = None
|
|
self.ts = 1537146000000
|
|
|
|
|
|
def check_avg_functions(self, tbname , col_name):
|
|
|
|
avg_sql = f"select avg({col_name}) from {tbname};"
|
|
|
|
same_sql = f"select {col_name} from {tbname} where {col_name} is not null "
|
|
|
|
tdSql.query(same_sql)
|
|
pre_data = np.array(tdSql.queryResult)[np.array(tdSql.queryResult) != None]
|
|
if (platform.system().lower() == 'windows' and pre_data.dtype == 'int32'):
|
|
pre_data = np.array(pre_data, dtype = 'int64')
|
|
pre_avg = np.sum(pre_data)/len(pre_data)
|
|
|
|
tdSql.query(avg_sql)
|
|
tdSql.checkData(0,0,pre_avg)
|
|
|
|
def prepare_datas_of_distribute(self, dbname="testdb"):
|
|
|
|
# prepate datas for 20 tables distributed at different vgroups
|
|
tdSql.execute(f"create database if not exists {dbname} keep 3650 duration 1000 vgroups 5")
|
|
tdSql.execute(f" use {dbname} ")
|
|
tdSql.execute(
|
|
f'''create table {dbname}.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))
|
|
'''
|
|
)
|
|
|
|
for i in range(20):
|
|
tdSql.execute(f'create table {dbname}.ct{i+1} using {dbname}.stb1 tags ( now(), {1*i}, {11111*i}, {111*i}, {1*i}, {1.11*i}, {11.11*i}, {i%2}, "binary{i}", "nchar{i}" )')
|
|
|
|
for i in range(9):
|
|
tdSql.execute(
|
|
f"insert into {dbname}.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 {dbname}.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 = f"{dbname}.ct{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(f"insert into {dbname}.ct1 values (now()-45s, 0, 0, 0, 0, 0, 0, 0, 'binary0', 'nchar0', now()+8a )")
|
|
tdSql.execute(f"insert into {dbname}.ct1 values (now()+10s, 9, -99999, -999, -99, -9.99, -99.99, 1, 'binary9', 'nchar9', now()+9a )")
|
|
tdSql.execute(f"insert into {dbname}.ct1 values (now()+15s, 9, -99999, -999, -99, -9.99, NULL, 1, 'binary9', 'nchar9', now()+9a )")
|
|
tdSql.execute(f"insert into {dbname}.ct1 values (now()+20s, 9, -99999, -999, NULL, -9.99, -99.99, 1, 'binary9', 'nchar9', now()+9a )")
|
|
|
|
tdSql.execute(f"insert into {dbname}.ct4 values (now()-810d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
|
|
tdSql.execute(f"insert into {dbname}.ct4 values (now()-400d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
|
|
tdSql.execute(f"insert into {dbname}.ct4 values (now()+90d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
|
|
|
|
tdLog.info(" prepare data for distributed_aggregate done! ")
|
|
|
|
def check_distribute_datas(self, dbname="testdb"):
|
|
# get vgroup_ids of all
|
|
tdSql.query(f"show {dbname}.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(f"select * from information_schema.ins_tables where db_name = '{dbname}' and table_name like 'ct%'")
|
|
table_names = tdSql.queryResult
|
|
tablenames = []
|
|
for table_name in table_names:
|
|
vnode_tables[table_name[6]].append(table_name[0])
|
|
self.vnode_disbutes = vnode_tables
|
|
|
|
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 ")
|
|
|
|
def check_avg_distribute_diff_vnode(self,col_name, dbname="testdb"):
|
|
|
|
vgroup_ids = []
|
|
for k ,v in self.vnode_disbutes.items():
|
|
if len(v)>=2:
|
|
vgroup_ids.append(k)
|
|
|
|
distribute_tbnames = []
|
|
|
|
for vgroup_id in vgroup_ids:
|
|
vnode_tables = self.vnode_disbutes[vgroup_id]
|
|
distribute_tbnames.append(random.sample(vnode_tables,1)[0])
|
|
tbname_ins = ""
|
|
for tbname in distribute_tbnames:
|
|
tbname_ins += "'%s' ,"%tbname
|
|
|
|
tbname_filters = tbname_ins[:-1]
|
|
|
|
avg_sql = f"select avg({col_name}) from {dbname}.stb1 where tbname in ({tbname_filters});"
|
|
|
|
same_sql = f"select {col_name} from {dbname}.stb1 where tbname in ({tbname_filters}) and {col_name} is not null "
|
|
|
|
tdSql.query(same_sql)
|
|
pre_data = np.array(tdSql.queryResult)[np.array(tdSql.queryResult) != None]
|
|
if (platform.system().lower() == 'windows' and pre_data.dtype == 'int32'):
|
|
pre_data = np.array(pre_data, dtype = 'int64')
|
|
pre_avg = np.sum(pre_data)/len(pre_data)
|
|
|
|
tdSql.query(avg_sql)
|
|
tdSql.checkData(0,0,pre_avg)
|
|
|
|
def check_avg_status(self, dbname="testdb"):
|
|
# check max function work status
|
|
|
|
tdSql.query(f"show {dbname}.tables like 'ct%'")
|
|
table_names = tdSql.queryResult
|
|
tablenames = []
|
|
for table_name in table_names:
|
|
tablenames.append(f"{dbname}.{table_name[0]}")
|
|
|
|
tdSql.query(f"desc {dbname}.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_avg_functions(tablename,colname)
|
|
|
|
# check max function for different vnode
|
|
|
|
for colname in colnames:
|
|
if colname.startswith("c"):
|
|
self.check_avg_distribute_diff_vnode(colname, dbname)
|
|
else:
|
|
# self.check_avg_distribute_diff_vnode(colname, dbname) # bug for tag
|
|
pass
|
|
|
|
|
|
def distribute_agg_query(self, dbname="testdb"):
|
|
# basic filter
|
|
tdSql.query(f"select avg(c1) from {dbname}.stb1 ")
|
|
tdSql.checkData(0,0,14.086956522)
|
|
|
|
tdSql.query(f"select avg(a) from (select avg(c1) a from {dbname}.stb1 partition by tbname) ")
|
|
tdSql.checkData(0,0,14.292307692)
|
|
|
|
tdSql.query(f"select avg(c1) from {dbname}.stb1 where t1=1")
|
|
tdSql.checkData(0,0,6.000000000)
|
|
|
|
tdSql.query(f"select avg(c1+c2) from {dbname}.stb1 where c1 =1 ")
|
|
tdSql.checkData(0,0,11112.000000000)
|
|
|
|
tdSql.query(f"select avg(c1) from {dbname}.stb1 where tbname=\"ct2\"")
|
|
tdSql.checkData(0,0,6.000000000)
|
|
|
|
tdSql.query(f"select avg(c1) from {dbname}.stb1 partition by tbname")
|
|
tdSql.checkRows(20)
|
|
|
|
tdSql.query(f"select avg(c1) from {dbname}.stb1 where t1> 4 partition by tbname")
|
|
tdSql.checkRows(15)
|
|
|
|
# union all
|
|
tdSql.query(f"select avg(c1) from {dbname}.stb1 union all select avg(c1) from {dbname}.stb1 ")
|
|
tdSql.checkRows(2)
|
|
tdSql.checkData(0,0,14.086956522)
|
|
|
|
tdSql.query(f"select avg(a) from (select avg(c1) a from {dbname}.stb1 union all select avg(c1) a from {dbname}.stb1)")
|
|
tdSql.checkRows(1)
|
|
tdSql.checkData(0,0,14.086956522)
|
|
|
|
# join
|
|
|
|
tdSql.execute(" create database if not exists db ")
|
|
tdSql.execute(" use db ")
|
|
tdSql.execute(" create stable db.st (ts timestamp , c1 int ,c2 float) tags(t1 int) ")
|
|
tdSql.execute(" create table db.tb1 using db.st tags(1) ")
|
|
tdSql.execute(" create table db.tb2 using db.st tags(2) ")
|
|
|
|
|
|
for i in range(10):
|
|
ts = i*10 + self.ts
|
|
tdSql.execute(f" insert into db.tb1 values({ts},{i},{i}.0)")
|
|
tdSql.execute(f" insert into db.tb2 values({ts},{i},{i}.0)")
|
|
|
|
tdSql.query(f"select avg(tb1.c1), avg(tb2.c2) from db.tb1 tb1, db.tb2 tb2 where tb1.ts=tb2.ts")
|
|
tdSql.checkRows(1)
|
|
tdSql.checkData(0,0,4.500000000)
|
|
tdSql.checkData(0,1,4.500000000)
|
|
|
|
# group by
|
|
tdSql.execute(f" use {dbname} ")
|
|
|
|
# partition by tbname or partition by tag
|
|
tdSql.query(f"select avg(c1) from {dbname}.stb1 partition by tbname")
|
|
tdSql.checkRows(20)
|
|
|
|
# nest query for support max
|
|
tdSql.query(f"select avg(c2+2)+1 from (select avg(c1) c2 from {dbname}.stb1)")
|
|
tdSql.checkData(0,0,17.086956522)
|
|
tdSql.query(f"select avg(c1+2) as c2 from (select ts ,c1 ,c2 from {dbname}.stb1)")
|
|
tdSql.checkData(0,0,16.086956522)
|
|
tdSql.query(f"select avg(a+2) as c2 from (select ts ,abs(c1) a ,c2 from {dbname}.stb1)")
|
|
tdSql.checkData(0,0,16.086956522)
|
|
|
|
# mixup with other functions
|
|
tdSql.query(f"select max(c1),count(c1),last(c2,c3),sum(c1+c2),avg(c1) from {dbname}.stb1")
|
|
tdSql.checkData(0,0,28)
|
|
tdSql.checkData(0,1,184)
|
|
tdSql.checkData(0,2,-99999)
|
|
tdSql.checkData(0,3,-999)
|
|
tdSql.checkData(0,4,28202310.000000000)
|
|
tdSql.checkData(0,5,14.086956522)
|
|
|
|
def run(self):
|
|
|
|
self.prepare_datas_of_distribute()
|
|
self.check_distribute_datas()
|
|
self.check_avg_status()
|
|
self.distribute_agg_query()
|
|
|
|
|
|
def stop(self):
|
|
tdSql.close()
|
|
tdLog.success("%s successfully executed" % __file__)
|
|
|
|
tdCases.addWindows(__file__, TDTestCase())
|
|
tdCases.addLinux(__file__, TDTestCase())
|