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