292 lines
17 KiB
Python
292 lines
17 KiB
Python
# from asyncio.windows_events import NULL
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import taos
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import sys
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import datetime
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import inspect
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import random
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from util.log import *
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from util.sql import *
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from util.cases import *
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from util.cluster import *
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from util.common import *
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sys.path.append("./6-cluster/")
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from clusterCommonCreate import *
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from clusterCommonCheck import clusterComCheck
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import threading
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class TDTestCase:
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clientCfgDict = {'queryproxy': '1','debugFlag': 135}
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clientCfgDict["debugFlag"] = 131
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updatecfgDict = {'clientCfg': {}}
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updatecfgDict = {'debugFlag': 131}
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updatecfgDict = {'keepColumnName': 1}
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updatecfgDict["clientCfg"] = clientCfgDict
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def init(self, conn, logSql, replicaVar=1):
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self.replicaVar = int(replicaVar)
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tdLog.debug(f"start to excute {__file__}")
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tdSql.init(conn.cursor(), False)
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def create_ctable(self,tsql=None, dbName='dbx',stbName='stb',ctbPrefix='ctb',ctbNum=1):
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tsql.execute("use %s" %dbName)
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pre_create = "create table"
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sql = pre_create
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#tdLog.debug("doing create one stable %s and %d child table in %s ..." %(stbname, count ,dbname))
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for i in range(ctbNum):
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tagValue = 'beijing'
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if (i % 10 == 0):
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sql += " %s%d using %s (name,fleet,driver,device_version) tags('truck_%d', 'South%d','Trish%d','v2.%d')"%(ctbPrefix,i,stbName,i,i,i,i)
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else:
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model = 'H-%d'%i
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sql += " %s%d using %s tags('truck_%d', 'South%d','Trish%d','%s','v2.%d')"%(ctbPrefix,i,stbName,i,i,i,model,i)
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if (i > 0) and (i%1000 == 0):
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tsql.execute(sql)
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sql = pre_create
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if sql != pre_create:
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tsql.execute(sql)
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tdLog.debug("complete to create %d child tables in %s.%s" %(ctbNum, dbName, stbName))
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return
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def prepareData(self):
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dbname="db_tsbs"
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stabname1="readings"
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stabname2="diagnostics"
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ctbnamePre1="rct"
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ctbnamePre2="dct"
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ctbNums=40
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self.ctbNums=ctbNums
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rowNUms=100
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ts=1451606400000
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tdSql.execute(f"create database {dbname};")
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tdSql.execute(f"use {dbname} ")
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tdSql.execute(f'''
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create table {stabname1} (ts timestamp,latitude double,longitude double,elevation double,velocity double,heading double,grade double,fuel_consumption double,load_capacity double,fuel_capacity double,nominal_fuel_consumption double) tags (name binary(30),fleet binary(30),driver binary(30),model binary(30),device_version binary(30));
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''')
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tdSql.execute(f'''
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create table {stabname2} (ts timestamp,fuel_state double,current_load double,status bigint,load_capacity double,fuel_capacity double,nominal_fuel_consumption double) tags (name binary(30),fleet binary(30),driver binary(30),model binary(30),device_version binary(30)) ;
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''')
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self.create_ctable(tsql=tdSql,dbName=dbname,stbName=stabname1,ctbPrefix=ctbnamePre1,ctbNum=ctbNums)
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self.create_ctable(tsql=tdSql,dbName=dbname,stbName=stabname2,ctbPrefix=ctbnamePre2,ctbNum=ctbNums)
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for j in range(ctbNums):
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for i in range(rowNUms):
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tdSql.execute(
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f"insert into rct{j} values ( {ts+i*60000}, {80+i}, {90+i}, {85+i}, {30+i*10}, {1.2*i}, {221+i*2}, {20+i*0.2}, {1500+i*20}, {150+i*2},{5+i} )"
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)
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status= random.randint(0,1)
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tdSql.execute(
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f"insert into dct{j} values ( {ts+i*60000}, {1+i*0.1},{1400+i*15}, {status},{1500+i*20}, {150+i*2},{5+i} )"
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)
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tdSql.execute("insert into dct9 (ts,fuel_state) values('2021-07-13 14:06:33.123Z',1.2) ;")
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# def check_avg(self ,origin_query , check_query):
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# avg_result = tdSql.getResult(origin_query)
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# origin_result = tdSql.getResult(check_query)
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# check_status = True
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# for row_index , row in enumerate(avg_result):
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# for col_index , elem in enumerate(row):
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# if avg_result[row_index][col_index] != origin_result[row_index][col_index]:
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# check_status = False
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# if not check_status:
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# tdLog.notice("avg function value has not as expected , sql is \"%s\" "%origin_query )
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# sys.exit(1)
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# else:
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# tdLog.info("avg value check pass , it work as expected ,sql is \"%s\" "%check_query )
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def createCluster(self):
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tdSql.execute("create mnode on dnode 2")
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tdSql.execute("create mnode on dnode 3")
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tdSql.execute("create qnode on dnode 1")
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tdSql.execute("create qnode on dnode 2")
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tdSql.execute("create qnode on dnode 3")
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time.sleep(10)
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def tsbsIotQuery(self,tdSql):
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tdSql.execute("use db_tsbs")
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# test interval and partition
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tdSql.query(" SELECT avg(velocity) as mean_velocity ,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet; ")
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# print(tdSql.queryResult)
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parRows=tdSql.queryRows
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tdSql.query(" SELECT avg(velocity) as mean_velocity ,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet interval(10m); ")
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tdSql.checkRows(parRows)
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# # test insert into
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# tdSql.execute("create table testsnode (ts timestamp, c1 float,c2 binary(30),c3 binary(30),c4 binary(30)) ;")
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# tdSql.query("insert into testsnode SELECT ts,avg(velocity) as mean_velocity,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet,ts interval(10m);")
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# tdSql.query("insert into testsnode(ts,c1,c2,c3,c4) SELECT ts,avg(velocity) as mean_velocity,name,driver,fleet FROM readings WHERE ts > 1451606400000 AND ts <= 1451606460000 partition BY name,driver,fleet,ts interval(10m);")
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# test paitition interval fill
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tdSql.query("SELECT name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name interval(10m) fill(value,0) ;")
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# test partition interval limit (PRcore-TD-17410)
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tdSql.query("select name,driver from (SELECT name,driver,fleet ,avg(velocity) as mean_velocity FROM readings partition BY name,driver,fleet interval (10m) limit 1);")
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tdSql.checkRows(self.ctbNums)
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# test partition interval Pseudo time-column
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tdSql.query("SELECT count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1;")
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# 1 high-load:
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tdSql.query("SELECT ts,name,driver,current_load,load_capacity FROM (SELECT last(ts) as ts,name,driver, current_load,load_capacity FROM diagnostics WHERE fleet = 'South' partition by name,driver) WHERE current_load>= (0.9 * load_capacity) partition by name ORDER BY name desc, ts DESC;")
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tdSql.query("SELECT ts,name,driver,current_load,load_capacity FROM (SELECT last(ts) as ts,name,driver, current_load,load_capacity FROM diagnostics WHERE fleet = 'South' partition by name,driver) WHERE current_load>= (0.9 * load_capacity) partition by name ORDER BY name ;")
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# 2 stationary-trucks
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tdSql.query("select name,driver from (SELECT name,driver,fleet ,avg(velocity) as mean_velocity FROM readings WHERE ts > '2016-01-01T15:07:21Z' AND ts <= '2016-01-01T16:17:21Z' partition BY name,driver,fleet interval(10m) LIMIT 1)")
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tdSql.query("select name,driver from (SELECT name,driver,fleet ,avg(velocity) as mean_velocity FROM readings WHERE ts > '2016-01-01T15:07:21Z' AND ts <= '2016-01-01T16:17:21Z' partition BY name,driver,fleet interval(10m) LIMIT 1) WHERE fleet = 'West' AND mean_velocity < 1000 partition BY name")
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# 3 long-driving-sessions
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tdSql.query("SELECT name,driver FROM(SELECT name,driver,count(*) AS ten_min FROM(SELECT _wstart as ts,name,driver,avg(velocity) as mean_velocity FROM readings where ts > '2016-01-01T00:00:34Z' AND ts <= '2016-01-01T04:00:34Z' partition BY name,driver interval(10m)) WHERE mean_velocity > 1 GROUP BY name,driver) WHERE ten_min > 22 ;")
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#4 long-daily-sessions
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tdSql.query("SELECT name,driver FROM(SELECT name,driver,count(*) AS ten_min FROM(SELECT name,driver,avg(velocity) as mean_velocity FROM readings WHERE fleet ='West' AND ts > '2016-01-01T12:31:37Z' AND ts <= '2016-01-05T12:31:37Z' partition BY name,driver interval(10m) ) WHERE mean_velocity > 1 GROUP BY name,driver) WHERE ten_min > 60")
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# 5. avg-daily-driving-duration
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tdSql.query("select _wstart as ts,fleet,name,driver,count(mv)/6 as hours_driven from ( select _wstart as ts,fleet,name,driver,avg(velocity) as mv from readings where ts > '2016-01-01T00:00:00Z' and ts < '2016-01-05T00:00:01Z' partition by fleet,name,driver interval(10m)) where ts > '2016-01-01T00:00:00Z' and ts < '2016-01-05T00:00:01Z' partition by fleet,name,driver interval(1d) ;")
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# # 6. avg-daily-driving-session
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# #taosc core dumped
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# tdSql.execute("create table random_measure2_1 (ts timestamp,ela float, name binary(40))")
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# tdSql.query("SELECT ts,diff(mv) AS difka FROM (SELECT ts,name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name,ts interval(10m) fill(value,0)) GROUP BY name,ts;")
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# tdSql.query("select name,diff(mv) AS difka FROM (SELECT ts,name,mv FROM (SELECT _wstart as ts,name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name interval(10m) fill(value,0))) group BY name ;")
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# tdSql.query("SELECT _wstart,name,floor(avg(velocity)/10)/floor(avg(velocity)/10) AS mv FROM readings WHERE name!='' AND ts > '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by name interval(10m) fill(value,0)")
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# 7. avg-load
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tdSql.query("SELECT fleet, model,avg(ml) AS mean_load_percentage FROM (SELECT fleet, model,current_load/load_capacity AS ml FROM diagnostics partition BY name, fleet, model) partition BY fleet, model order by fleet ;")
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# 8. daily-activity
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tdSql.query(" SELECT model,ms1 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) fill(value,0)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1;")
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tdSql.query(" SELECT model,ms1 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) ) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1;")
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tdSql.query("SELECT _wstart,model,fleet,count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) fill(value,0)) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1 partition by model, fleet interval(1d) ;")
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tdSql.query("SELECT _wstart as ts,model,fleet,count(ms1)/144 FROM (SELECT _wstart as ts1,model, fleet,avg(status) AS ms1 FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition by model, fleet interval(10m) ) WHERE ts1 >= '2016-01-01T00:00:00Z' AND ts1 < '2016-01-05T00:00:01Z' AND ms1<1 partition by model, fleet interval(1d) ;")
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# 9. breakdown-frequency
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# NULL ---count(NULL)=0 expect count(NULL)= 100
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tdSql.query("SELECT model,state_changed,count(state_changed) FROM (SELECT model,diff(broken_down) AS state_changed FROM (SELECT _wstart,model,cast(cast(floor(2*(sum(nzs)/count(nzs))) as bool) as int) AS broken_down FROM (SELECT ts,model, cast(cast(status as bool) as int) AS nzs FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' ) WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition BY model interval(10m)) partition BY model) where model is null partition BY model,state_changed ")
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parRows=tdSql.queryRows
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assert parRows != 0 , "query result is wrong"
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tdSql.query(" SELECT model,state_changed,count(state_changed) FROM (SELECT model,diff(broken_down) AS state_changed FROM (SELECT _wstart,model,cast(cast(floor(2*(sum(nzs)/count(nzs))) as bool) as int) AS broken_down FROM (SELECT ts,model, cast(cast(status as bool) as int) AS nzs FROM diagnostics WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' ) WHERE ts >= '2016-01-01T00:00:00Z' AND ts < '2016-01-05T00:00:01Z' partition BY model interval(10m)) partition BY model) where state_changed =1 partition BY model,state_changed ;")
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#it's already supported:
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# last-loc
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tdSql.query("SELECT last_row(ts),latitude,longitude,name,driver FROM readings WHERE fleet='South' and name IS NOT NULL partition BY name,driver order by name ;")
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#2. low-fuel
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tdSql.query("SELECT last_row(ts),name,driver,fuel_state,driver FROM diagnostics WHERE fuel_state <= 0.1 AND fleet = 'South' and name IS NOT NULL GROUP BY name,driver order by name;")
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# 3. avg-vs-projected-fuel-consumption
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tdSql.query("select avg(fuel_consumption) as avg_fuel_consumption,avg(nominal_fuel_consumption) as nominal_fuel_consumption from readings where velocity > 1 group by fleet")
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def restartFunc(self,func_name,threadNumbers,dnodeNumbers,mnodeNums,restartNumbers,stopRole):
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tdLog.printNoPrefix("======== test case 1: ")
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paraDict = {'dbName': 'db',
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'dbNumbers': 8,
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'dropFlag': 1,
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'event': '',
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'vgroups': 2,
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'replica': 1,
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'stbName': 'stb',
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'stbNumbers': 100,
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'colPrefix': 'c',
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'tagPrefix': 't',
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'colSchema': [{'type': 'INT', 'count':1}, {'type': 'binary', 'len':20, 'count':1}],
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'tagSchema': [{'type': 'INT', 'count':1}, {'type': 'binary', 'len':20, 'count':1}],
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'ctbPrefix': 'ctb',
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'ctbNum': 1,
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}
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dnodeNumbers=int(dnodeNumbers)
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mnodeNums=int(mnodeNums)
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vnodeNumbers = int(dnodeNumbers-mnodeNums)
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tdSql.query("select * from information_schema.ins_dnodes;")
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tdLog.debug(tdSql.queryResult)
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clusterComCheck.checkDnodes(dnodeNumbers)
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tdLog.info("create database and stable")
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tdDnodes=cluster.dnodes
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stopcount =0
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threads=[]
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for i in range(threadNumbers):
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newTdSql=tdCom.newTdSql()
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print("123")
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threads.append(threading.Thread(target=func_name,args=(newTdSql,)))
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print("456")
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for tr in threads:
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tr.start()
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tdLog.info("Take turns stopping %s "%stopRole)
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while stopcount < restartNumbers:
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tdLog.info(" restart loop: %d"%stopcount )
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if stopRole == "mnode":
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for i in range(mnodeNums):
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tdDnodes[i].stoptaosd()
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# sleep(10)
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tdDnodes[i].starttaosd()
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# sleep(10)
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elif stopRole == "vnode":
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for i in range(vnodeNumbers):
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tdDnodes[i+mnodeNums].stoptaosd()
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# sleep(10)
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tdDnodes[i+mnodeNums].starttaosd()
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# sleep(10)
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elif stopRole == "dnode":
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for i in range(dnodeNumbers):
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tdDnodes[i].stoptaosd()
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# sleep(10)
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tdDnodes[i].starttaosd()
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# sleep(10)
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# dnodeNumbers don't include database of schema
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if clusterComCheck.checkDnodes(dnodeNumbers):
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tdLog.info("check dnodes status is ready")
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else:
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tdLog.info("check dnodes status is not ready")
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self.stopThread(threads)
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tdLog.exit("one or more of dnodes failed to start ")
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# self.check3mnode()
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stopcount+=1
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for tr in threads:
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tr.join()
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def run(self):
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tdLog.printNoPrefix("==========step1:create database and table,insert data ==============")
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self.createCluster()
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self.prepareData()
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queryPolicy=2
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simClientCfg="%s/taos.cfg"%tdDnodes.getSimCfgPath()
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cmd='sed -i "s/^queryPolicy.*/queryPolicy 2/g" %s'%simClientCfg
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os.system(cmd)
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# self.tsbsIotQuery()
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self.restartFunc(func_name=self.tsbsIotQuery,threadNumbers=3,dnodeNumbers=5,mnodeNums=3,restartNumbers=3,stopRole='mnode')
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def stop(self):
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tdSql.close()
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tdLog.success(f"{__file__} successfully executed")
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tdCases.addLinux(__file__, TDTestCase())
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tdCases.addWindows(__file__, TDTestCase())
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