Influxdb 将从DolphinDB中的流表中删除记录的时间

我用DolphinDB创建了一个流表，如下所示

share streamTable(1000000:0,`deviceID`ts`battery_temperature`cpu_percentage`mem_free,[INT,TIMESTAMP,DOUBLE,DOUBLE,DOUBLE]) as sensor_readings
enableTablePersistence(sensor_readings, true, false, 1000000)

tableSchema = table(1000000:0,`deviceID`ts`battery_temperature`cpu_percentage`mem_free,[INT,TIMESTAMP,DOUBLE,DOUBLE,DOUBLE])
db1 = database("",VALUE,2019.04.24..2019.05.20) 
db2 = database("",RANGE,0..10*100)
db = database("dfs://iotDemoDB",COMPO,[db1,db2])
dfsTable = db.createPartitionedTable(tableSchema,"sensor_readings",`ts`deviceID)
//one subscriber for storing
subscribeTable(, "sensor_readings", "save_to_db", -1, append!{dfsTable}, true, 1000000,10)

//the other subscriber for computing
share streamTable(1000000:0, `time`deviceID`battery_temperature_avg`cpu_percentage_avg`mem_free_avg, [TIMESTAMP,INT,DOUBLE,DOUBLE,DOUBLE]) as sensor_readings_avg
metrics = createTimeSeriesAggregator("aggr1",60000,2000,<[avg(battery_temperature),avg(cpu_percentage),avg(mem_free)]>,sensor_readings,sensor_readings_avg,`ts,,`deviceID,2000) 
subscribeTable(, "sensor_readings", "metric_engine", -1, append!{metrics},true)

然后我创建了2个订阅服务器，如下所示

share streamTable(1000000:0,`deviceID`ts`battery_temperature`cpu_percentage`mem_free,[INT,TIMESTAMP,DOUBLE,DOUBLE,DOUBLE]) as sensor_readings
enableTablePersistence(sensor_readings, true, false, 1000000)

tableSchema = table(1000000:0,`deviceID`ts`battery_temperature`cpu_percentage`mem_free,[INT,TIMESTAMP,DOUBLE,DOUBLE,DOUBLE])
db1 = database("",VALUE,2019.04.24..2019.05.20) 
db2 = database("",RANGE,0..10*100)
db = database("dfs://iotDemoDB",COMPO,[db1,db2])
dfsTable = db.createPartitionedTable(tableSchema,"sensor_readings",`ts`deviceID)
//one subscriber for storing
subscribeTable(, "sensor_readings", "save_to_db", -1, append!{dfsTable}, true, 1000000,10)

//the other subscriber for computing
share streamTable(1000000:0, `time`deviceID`battery_temperature_avg`cpu_percentage_avg`mem_free_avg, [TIMESTAMP,INT,DOUBLE,DOUBLE,DOUBLE]) as sensor_readings_avg
metrics = createTimeSeriesAggregator("aggr1",60000,2000,<[avg(battery_temperature),avg(cpu_percentage),avg(mem_free)]>,sensor_readings,sensor_readings_avg,`ts,,`deviceID,2000) 
subscribeTable(, "sensor_readings", "metric_engine", -1, append!{metrics},true)

tableSchema=table（1000000:0，`deviceID`ts`电池温度`cpu`百分比`mem\u空闲，[INT，TIMESTAMP，DOUBLE，DOUBLE，DOUBLE]）
db1=数据库（“，值，2019.04.24..2019.05.20）
db2=数据库（“”，范围为0..10*100）
db=数据库（“dfs://iotDemoDB，COMPO，[db1，db2]）
dfsTable=db.createPartitionedTable（表模式，“传感器读数”`ts`deviceID）
//一个用户用于存储
subscribeTable（，“传感器读数”，“将读数保存到数据库”，-1，追加！{dfsTable}，true，1000000,10）
//用于计算的另一个订户
将流表（1000000:0，`time`deviceID`电池温度`cpu百分比`cpu百分比`mem空闲`avg，[TIMESTAMP，INT，DOUBLE，DOUBLE，DOUBLE]）共享为传感器读数`avg
metrics=CreateTimeSeriesAgegrator（“aggr1”，600002000，传感器读数，传感器读数平均值，`ts，`deviceID，2000）
可下标（，“传感器读数”，“度量引擎”，-1，附加！{metrics}，true）

我想让记录在所有订户消费后自动删除，但它不起作用。如何做？在XDB中，可以自动删除记录吗