Merge pull request #13981 from taosdata/test/distribute_avg
test: add test case for distribute plan of avg and stddev
This commit is contained in:
wenzhouwww
GitHub
commit
5bd6947046
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from util.log import *
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from util.cases import *
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from util.sql import *
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import numpy as np
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import random ,os ,sys
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import platform
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class TDTestCase:
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updatecfgDict = {'debugFlag': 143 ,"cDebugFlag":143,"uDebugFlag":143 ,"rpcDebugFlag":143 , "tmrDebugFlag":143 ,
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"jniDebugFlag":143 ,"simDebugFlag":143,"dDebugFlag":143, "dDebugFlag":143,"vDebugFlag":143,"mDebugFlag":143,"qDebugFlag":143,
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"wDebugFlag":143,"sDebugFlag":143,"tsdbDebugFlag":143,"tqDebugFlag":143 ,"fsDebugFlag":143 ,"fnDebugFlag":143,
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"maxTablesPerVnode":2 ,"minTablesPerVnode":2,"tableIncStepPerVnode":2 }
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def init(self, conn, logSql):
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tdLog.debug("start to execute %s" % __file__)
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tdSql.init(conn.cursor())
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self.vnode_disbutes = None
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self.ts = 1537146000000
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def check_avg_functions(self, tbname , col_name):
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avg_sql = f"select avg({col_name}) from {tbname};"
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same_sql = f"select {col_name} from {tbname} where {col_name} is not null "
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tdSql.query(same_sql)
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pre_data = np.array(tdSql.queryResult)[np.array(tdSql.queryResult) != None]
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if (platform.system().lower() == 'windows' and pre_data.dtype == 'int32'):
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pre_data = np.array(pre_data, dtype = 'int64')
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pre_avg = np.sum(pre_data)/len(pre_data)
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tdSql.query(avg_sql)
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tdSql.checkData(0,0,pre_avg)
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def prepare_datas_of_distribute(self):
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# prepate datas for 20 tables distributed at different vgroups
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tdSql.execute("create database if not exists testdb keep 3650 duration 1000 vgroups 5")
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tdSql.execute(" use testdb ")
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tdSql.execute(
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'''create table stb1
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(ts timestamp, c1 int, c2 bigint, c3 smallint, c4 tinyint, c5 float, c6 double, c7 bool, c8 binary(16),c9 nchar(32), c10 timestamp)
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tags (t0 timestamp, t1 int, t2 bigint, t3 smallint, t4 tinyint, t5 float, t6 double, t7 bool, t8 binary(16),t9 nchar(32))
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'''
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)
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tdSql.execute(
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'''
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create table t1
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(ts timestamp, c1 int, c2 bigint, c3 smallint, c4 tinyint, c5 float, c6 double, c7 bool, c8 binary(16),c9 nchar(32), c10 timestamp)
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'''
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)
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for i in range(20):
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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}" )')
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for i in range(9):
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tdSql.execute(
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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 )"
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)
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tdSql.execute(
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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 )"
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)
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for i in range(1,21):
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if i ==1 or i == 4:
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continue
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else:
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tbname = "ct"+f'{i}'
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for j in range(9):
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tdSql.execute(
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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 )"
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)
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tdSql.execute("insert into ct1 values (now()-45s, 0, 0, 0, 0, 0, 0, 0, 'binary0', 'nchar0', now()+8a )")
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tdSql.execute("insert into ct1 values (now()+10s, 9, -99999, -999, -99, -9.99, -99.99, 1, 'binary9', 'nchar9', now()+9a )")
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tdSql.execute("insert into ct1 values (now()+15s, 9, -99999, -999, -99, -9.99, NULL, 1, 'binary9', 'nchar9', now()+9a )")
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tdSql.execute("insert into ct1 values (now()+20s, 9, -99999, -999, NULL, -9.99, -99.99, 1, 'binary9', 'nchar9', now()+9a )")
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tdSql.execute("insert into ct4 values (now()-810d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
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tdSql.execute("insert into ct4 values (now()-400d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
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tdSql.execute("insert into ct4 values (now()+90d, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL ) ")
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tdSql.execute(
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f'''insert into t1 values
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( '2020-04-21 01:01:01.000', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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( '2020-10-21 01:01:01.000', 1, 11111, 111, 11, 1.11, 11.11, 1, "binary1", "nchar1", now()+1a )
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( '2020-12-31 01:01:01.000', 2, 22222, 222, 22, 2.22, 22.22, 0, "binary2", "nchar2", now()+2a )
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( '2021-01-01 01:01:06.000', 3, 33333, 333, 33, 3.33, 33.33, 0, "binary3", "nchar3", now()+3a )
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( '2021-05-07 01:01:10.000', 4, 44444, 444, 44, 4.44, 44.44, 1, "binary4", "nchar4", now()+4a )
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( '2021-07-21 01:01:01.000', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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( '2021-09-30 01:01:16.000', 5, 55555, 555, 55, 5.55, 55.55, 0, "binary5", "nchar5", now()+5a )
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( '2022-02-01 01:01:20.000', 6, 66666, 666, 66, 6.66, 66.66, 1, "binary6", "nchar6", now()+6a )
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( '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" )
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( '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" )
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( '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" )
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( '2023-02-21 01:01:01.000', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL )
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'''
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)
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tdLog.info(" prepare data for distributed_aggregate done! ")
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def check_distribute_datas(self):
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# get vgroup_ids of all
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tdSql.query("show vgroups ")
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vgroups = tdSql.queryResult
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vnode_tables={}
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for vgroup_id in vgroups:
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vnode_tables[vgroup_id[0]]=[]
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# check sub_table of per vnode ,make sure sub_table has been distributed
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tdSql.query("show tables like 'ct%'")
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table_names = tdSql.queryResult
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tablenames = []
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for table_name in table_names:
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vnode_tables[table_name[6]].append(table_name[0])
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self.vnode_disbutes = vnode_tables
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count = 0
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for k ,v in vnode_tables.items():
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if len(v)>=2:
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count+=1
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if count < 2:
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tdLog.exit(" the datas of all not satisfy sub_table has been distributed ")
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def check_avg_distribute_diff_vnode(self,col_name):
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vgroup_ids = []
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for k ,v in self.vnode_disbutes.items():
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if len(v)>=2:
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vgroup_ids.append(k)
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distribute_tbnames = []
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for vgroup_id in vgroup_ids:
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vnode_tables = self.vnode_disbutes[vgroup_id]
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distribute_tbnames.append(random.sample(vnode_tables,1)[0])
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tbname_ins = ""
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for tbname in distribute_tbnames:
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tbname_ins += "'%s' ,"%tbname
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tbname_filters = tbname_ins[:-1]
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avg_sql = f"select avg({col_name}) from stb1 where tbname in ({tbname_filters});"
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same_sql = f"select {col_name} from stb1 where tbname in ({tbname_filters}) and {col_name} is not null "
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tdSql.query(same_sql)
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pre_data = np.array(tdSql.queryResult)[np.array(tdSql.queryResult) != None]
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if (platform.system().lower() == 'windows' and pre_data.dtype == 'int32'):
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pre_data = np.array(pre_data, dtype = 'int64')
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pre_avg = np.sum(pre_data)/len(pre_data)
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tdSql.query(avg_sql)
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tdSql.checkData(0,0,pre_avg)
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def check_avg_status(self):
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# check max function work status
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tdSql.query("show tables like 'ct%'")
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table_names = tdSql.queryResult
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tablenames = []
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for table_name in table_names:
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tablenames.append(table_name[0])
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tdSql.query("desc stb1")
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col_names = tdSql.queryResult
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colnames = []
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for col_name in col_names:
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if col_name[1] in ["INT" ,"BIGINT" ,"SMALLINT" ,"TINYINT" , "FLOAT" ,"DOUBLE"]:
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colnames.append(col_name[0])
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for tablename in tablenames:
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for colname in colnames:
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self.check_avg_functions(tablename,colname)
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# check max function for different vnode
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for colname in colnames:
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if colname.startswith("c"):
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self.check_avg_distribute_diff_vnode(colname)
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else:
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# self.check_avg_distribute_diff_vnode(colname) # bug for tag
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pass
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def distribute_agg_query(self):
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# basic filter
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tdSql.query(" select avg(c1) from stb1 ")
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tdSql.checkData(0,0,14.086956522)
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tdSql.query(" select avg(a) from (select avg(c1) a from stb1 partition by tbname) ")
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tdSql.checkData(0,0,14.292307692)
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tdSql.query(" select avg(c1) from stb1 where t1=1")
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tdSql.checkData(0,0,6.000000000)
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tdSql.query("select avg(c1+c2) from stb1 where c1 =1 ")
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tdSql.checkData(0,0,11112.000000000)
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tdSql.query("select avg(c1) from stb1 where tbname=\"ct2\"")
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tdSql.checkData(0,0,6.000000000)
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tdSql.query("select avg(c1) from stb1 partition by tbname")
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tdSql.checkRows(20)
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tdSql.query("select avg(c1) from stb1 where t1> 4 partition by tbname")
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tdSql.checkRows(15)
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# union all
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tdSql.query("select avg(c1) from stb1 union all select avg(c1) from stb1 ")
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tdSql.checkRows(2)
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tdSql.checkData(0,0,14.086956522)
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tdSql.query("select avg(a) from (select avg(c1) a from stb1 union all select avg(c1) a from stb1)")
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tdSql.checkRows(1)
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tdSql.checkData(0,0,14.086956522)
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# join
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tdSql.execute(" create database if not exists db ")
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tdSql.execute(" use db ")
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tdSql.execute(" create stable st (ts timestamp , c1 int ,c2 float) tags(t1 int) ")
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tdSql.execute(" create table tb1 using st tags(1) ")
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tdSql.execute(" create table tb2 using st tags(2) ")
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for i in range(10):
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ts = i*10 + self.ts
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tdSql.execute(f" insert into tb1 values({ts},{i},{i}.0)")
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tdSql.execute(f" insert into tb2 values({ts},{i},{i}.0)")
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tdSql.query("select avg(tb1.c1), avg(tb2.c2) from tb1, tb2 where tb1.ts=tb2.ts")
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tdSql.checkRows(1)
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tdSql.checkData(0,0,4.500000000)
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tdSql.checkData(0,1,4.500000000)
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# group by
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tdSql.execute(" use testdb ")
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# partition by tbname or partition by tag
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tdSql.query("select avg(c1) from stb1 partition by tbname")
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tdSql.checkRows(20)
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# nest query for support max
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tdSql.query("select avg(c2+2)+1 from (select avg(c1) c2 from stb1)")
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tdSql.checkData(0,0,17.086956522)
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tdSql.query("select avg(c1+2) as c2 from (select ts ,c1 ,c2 from stb1)")
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tdSql.checkData(0,0,16.086956522)
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tdSql.query("select avg(a+2) as c2 from (select ts ,abs(c1) a ,c2 from stb1)")
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tdSql.checkData(0,0,16.086956522)
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# mixup with other functions
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tdSql.query("select max(c1),count(c1),last(c2,c3),sum(c1+c2),avg(c1) from stb1")
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tdSql.checkData(0,0,28)
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tdSql.checkData(0,1,184)
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tdSql.checkData(0,2,-99999)
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tdSql.checkData(0,3,-999)
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tdSql.checkData(0,4,28202310.000000000)
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tdSql.checkData(0,5,14.086956522)
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def run(self):
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self.prepare_datas_of_distribute()
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self.check_distribute_datas()
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self.check_avg_status()
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self.distribute_agg_query()
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def stop(self):
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tdSql.close()
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tdLog.success("%s successfully executed" % __file__)
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tdCases.addWindows(__file__, TDTestCase())
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tdCases.addLinux(__file__, TDTestCase())
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@ -245,6 +245,27 @@ class TDTestCase:
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tdSql.query(" select max(c1),c2 from stb1 group by c2 ")
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tdSql.checkRows(31)
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# selective common cols of datas
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tdSql.query("select max(c1),c2,c3,c5 from stb1")
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tdSql.checkRows(1)
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tdSql.checkData(0,0,28)
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tdSql.checkData(0,1,311108)
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tdSql.checkData(0,2,3108)
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tdSql.checkData(0,3,31.08000)
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tdSql.query("select max(c1),t1,c2,t3 from stb1")
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tdSql.checkRows(1)
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tdSql.checkData(0,0,28)
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tdSql.checkData(0,1,19)
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tdSql.checkData(0,2,311108)
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tdSql.query("select max(c1),ceil(t1),pow(c2,1)+2,abs(t3) from stb1")
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tdSql.checkRows(1)
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tdSql.checkData(0,0,28)
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tdSql.checkData(0,1,19)
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tdSql.checkData(0,2,311110.000000000)
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tdSql.checkData(0,3,2109)
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# partition by tbname or partition by tag
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tdSql.query("select max(c1),tbname from stb1 partition by tbname")
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query_data = tdSql.queryResult
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@ -245,6 +245,24 @@ class TDTestCase:
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tdSql.query(" select min(c1),c2 from stb1 group by c2 ")
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tdSql.checkRows(31)
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# selective common cols of datas
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tdSql.query("select min(c1),c2,c3,c5 from stb1")
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tdSql.checkRows(1)
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tdSql.checkData(0,0,0)
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tdSql.checkData(0,1,0)
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tdSql.checkData(0,2,0)
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tdSql.checkData(0,3,0)
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tdSql.query("select min(c1),t1,c2,t3 from stb1 where c1 >5")
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tdSql.checkRows(1)
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tdSql.checkData(0,0,6)
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tdSql.checkData(0,2,66666)
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tdSql.query("select min(c1),ceil(t1),pow(c2,1)+2,abs(t3) from stb1 where c1>12")
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tdSql.checkRows(1)
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tdSql.checkData(0,0,13)
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tdSql.checkData(0,2,144445.000000000)
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# partition by tbname or partition by tag
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tdSql.query("select min(c1),tbname from stb1 partition by tbname")
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query_data = tdSql.queryResult
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@ -0,0 +1,304 @@
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from util.log import *
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from util.cases import *
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from util.sql import *
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import numpy as np
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import random ,os ,sys
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import platform
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import math
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class TDTestCase:
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updatecfgDict = {'debugFlag': 143 ,"cDebugFlag":143,"uDebugFlag":143 ,"rpcDebugFlag":143 , "tmrDebugFlag":143 ,
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"jniDebugFlag":143 ,"simDebugFlag":143,"dDebugFlag":143, "dDebugFlag":143,"vDebugFlag":143,"mDebugFlag":143,"qDebugFlag":143,
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"wDebugFlag":143,"sDebugFlag":143,"tsdbDebugFlag":143,"tqDebugFlag":143 ,"fsDebugFlag":143 ,"fnDebugFlag":143,
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"maxTablesPerVnode":2 ,"minTablesPerVnode":2,"tableIncStepPerVnode":2 }
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def init(self, conn, logSql):
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tdLog.debug("start to execute %s" % __file__)
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tdSql.init(conn.cursor())
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self.vnode_disbutes = None
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self.ts = 1537146000000
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def check_stddev_functions(self, tbname , col_name):
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stddev_sql = f"select stddev({col_name}) from {tbname};"
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same_sql = f"select {col_name} from {tbname} where {col_name} is not null "
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tdSql.query(same_sql)
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pre_data = np.array(tdSql.queryResult)[np.array(tdSql.queryResult) != None]
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if (platform.system().lower() == 'windows' and pre_data.dtype == 'int32'):
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pre_data = np.array(pre_data, dtype = 'int64')
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pre_avg = np.sum(pre_data)/len(pre_data)
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# Calculate variance
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stddev_result = 0
|
||||
for num in tdSql.queryResult:
|
||||
stddev_result += (num-pre_avg)*(num-pre_avg)/len(tdSql.queryResult)
|
||||
|
||||
stddev_result = math.sqrt(stddev_result)
|
||||
|
||||
tdSql.query(stddev_sql)
|
||||
|
||||
if -0.0001 < tdSql.queryResult[0][0]-stddev_result < 0.0001:
|
||||
tdLog.info(" sql:%s; row:0 col:0 data:%d , expect:%d"%(stddev_sql,tdSql.queryResult[0][0],stddev_result))
|
||||
else:
|
||||
tdLog.exit(" sql:%s; row:0 col:0 data:%d , expect:%d"%(stddev_sql,tdSql.queryResult[0][0],stddev_result))
|
||||
|
||||
def prepare_datas_of_distribute(self):
|
||||
|
||||
# prepate datas for 20 tables distributed at different vgroups
|
||||
tdSql.execute("create database if not exists testdb keep 3650 duration 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! ")
|
||||
|
||||
def check_distribute_datas(self):
|
||||
# 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])
|
||||
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_stddev_distribute_diff_vnode(self,col_name):
|
||||
|
||||
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]
|
||||
|
||||
stddev_sql = f"select stddev({col_name}) from stb1 where tbname in ({tbname_filters});"
|
||||
|
||||
same_sql = f"select {col_name} from 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)
|
||||
|
||||
# Calculate variance
|
||||
stddev_result = 0
|
||||
for num in tdSql.queryResult:
|
||||
stddev_result += (num-pre_avg)*(num-pre_avg)/len(tdSql.queryResult)
|
||||
|
||||
stddev_result = math.sqrt(stddev_result)
|
||||
|
||||
tdSql.query(stddev_sql)
|
||||
tdSql.checkData(0,0,stddev_result)
|
||||
|
||||
|
||||
def check_stddev_status(self):
|
||||
# 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:
|
||||
if colname.startswith("c"):
|
||||
self.check_stddev_functions(tablename,colname)
|
||||
else:
|
||||
# self.check_stddev_functions(tablename,colname)
|
||||
pass
|
||||
|
||||
|
||||
# check max function for different vnode
|
||||
|
||||
for colname in colnames:
|
||||
if colname.startswith("c"):
|
||||
self.check_stddev_distribute_diff_vnode(colname)
|
||||
else:
|
||||
# self.check_stddev_distribute_diff_vnode(colname) # bug for tag
|
||||
pass
|
||||
|
||||
|
||||
def distribute_agg_query(self):
|
||||
# basic filter
|
||||
tdSql.query(" select stddev(c1) from stb1 ")
|
||||
tdSql.checkData(0,0,6.694663959)
|
||||
|
||||
tdSql.query(" select stddev(a) from (select stddev(c1) a from stb1 partition by tbname) ")
|
||||
tdSql.checkData(0,0,0.156797505)
|
||||
|
||||
tdSql.query(" select stddev(c1) from stb1 where t1=1")
|
||||
tdSql.checkData(0,0,2.581988897)
|
||||
|
||||
tdSql.query("select stddev(c1+c2) from stb1 where c1 =1 ")
|
||||
tdSql.checkData(0,0,0.000000000)
|
||||
|
||||
tdSql.query("select stddev(c1) from stb1 where tbname=\"ct2\"")
|
||||
tdSql.checkData(0,0,2.581988897)
|
||||
|
||||
tdSql.query("select stddev(c1) from stb1 partition by tbname")
|
||||
tdSql.checkRows(20)
|
||||
|
||||
tdSql.query("select stddev(c1) from stb1 where t1> 4 partition by tbname")
|
||||
tdSql.checkRows(15)
|
||||
|
||||
# union all
|
||||
tdSql.query("select stddev(c1) from stb1 union all select stddev(c1) from stb1 ")
|
||||
tdSql.checkRows(2)
|
||||
tdSql.checkData(0,0,6.694663959)
|
||||
|
||||
tdSql.query("select stddev(a) from (select stddev(c1) a from stb1 union all select stddev(c1) a from stb1)")
|
||||
tdSql.checkRows(1)
|
||||
tdSql.checkData(0,0,0.000000000)
|
||||
|
||||
# join
|
||||
|
||||
tdSql.execute(" create database if not exists db ")
|
||||
tdSql.execute(" use db ")
|
||||
tdSql.execute(" create stable st (ts timestamp , c1 int ,c2 float) tags(t1 int) ")
|
||||
tdSql.execute(" create table tb1 using st tags(1) ")
|
||||
tdSql.execute(" create table tb2 using st tags(2) ")
|
||||
|
||||
|
||||
for i in range(10):
|
||||
ts = i*10 + self.ts
|
||||
tdSql.execute(f" insert into tb1 values({ts},{i},{i}.0)")
|
||||
tdSql.execute(f" insert into tb2 values({ts},{i},{i}.0)")
|
||||
|
||||
tdSql.query("select stddev(tb1.c1), stddev(tb2.c2) from tb1, tb2 where tb1.ts=tb2.ts")
|
||||
tdSql.checkRows(1)
|
||||
tdSql.checkData(0,0,2.872281323)
|
||||
tdSql.checkData(0,1,2.872281323)
|
||||
|
||||
# group by
|
||||
tdSql.execute(" use testdb ")
|
||||
|
||||
# partition by tbname or partition by tag
|
||||
tdSql.query("select stddev(c1) from stb1 partition by tbname")
|
||||
tdSql.checkRows(20)
|
||||
|
||||
# nest query for support max
|
||||
tdSql.query("select stddev(c2+2)+1 from (select stddev(c1) c2 from stb1)")
|
||||
tdSql.checkData(0,0,1.000000000)
|
||||
tdSql.query("select stddev(c1+2) as c2 from (select ts ,c1 ,c2 from stb1)")
|
||||
tdSql.checkData(0,0,6.694663959)
|
||||
tdSql.query("select stddev(a+2) as c2 from (select ts ,abs(c1) a ,c2 from stb1)")
|
||||
tdSql.checkData(0,0,6.694663959)
|
||||
|
||||
# mixup with other functions
|
||||
tdSql.query("select max(c1),count(c1),last(c2,c3),sum(c1+c2),avg(c1),stddev(c1) from 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)
|
||||
tdSql.checkData(0,6,6.694663959)
|
||||
|
||||
def run(self):
|
||||
|
||||
self.prepare_datas_of_distribute()
|
||||
self.check_distribute_datas()
|
||||
self.check_stddev_status()
|
||||
self.distribute_agg_query()
|
||||
|
||||
|
||||
def stop(self):
|
||||
tdSql.close()
|
||||
tdLog.success("%s successfully executed" % __file__)
|
||||
|
||||
tdCases.addWindows(__file__, TDTestCase())
|
||||
tdCases.addLinux(__file__, TDTestCase())
|
||||
|
|
@ -105,6 +105,8 @@ python3 ./test.py -f 2-query/distribute_agg_min.py
|
|||
python3 ./test.py -f 2-query/distribute_agg_sum.py
|
||||
python3 ./test.py -f 2-query/distribute_agg_spread.py
|
||||
python3 ./test.py -f 2-query/distribute_agg_apercentile.py
|
||||
python3 ./test.py -f 2-query/distribute_agg_avg.py
|
||||
python3 ./test.py -f 2-query/distribute_agg_stddev.py
|
||||
|
||||
python3 ./test.py -f 6-cluster/5dnode1mnode.py
|
||||
python3 ./test.py -f 6-cluster/5dnode2mnode.py
|
||||
|
|
|
|||
Loading…
Reference in New Issue