像这种：
def h0(){
tableInsert(t1
}
subscribeTable(tableName="t0", handler=h0, )
subscribeTable(tableName="t1", handler=....)
不过也有各种引擎无法表达想要的逻辑的时候，所以有时这样写也无法避免
2 个回答
https://gitee.com/dolphindb/Tutorials_CN/blob/master/stream_aggregator.md 这个教程中【3. 多个引擎串联使用】有个代码示范 ，供参考。
简单来说，outputTable参数除了可以是表之外还可以是其他流数据计算引擎。
share streamTable(1000:0, `time`sym`price`volume, [TIMESTAMP, SYMBOL, DOUBLE, INT]) as trades share streamTable(1000:0, `time`sym`open`close`high`low`volume, [TIMESTAMP, SYMBOL, DOUBLE, DOUBLE, DOUBLE, DOUBLE, INT]) as kline outputTable=table(1000:0, `sym`factor1, [SYMBOL, DOUBLE]) Rengine=createReactiveStateEngine(name="reactive", metrics=<[mavg(open, 3)]>, dummyTable=kline, outputTable=outputTable, keyColumn="sym") Tengine=createTimeSeriesEngine(name="timeseries", windowSize=6000, step=6000, metrics=<[first(price), last(price), max(price), min(price), sum(volume)]>, dummyTable=trades, outputTable=Rengine, timeColumn=`time, useSystemTime=false, keyColumn=`sym) //时间序列引擎的结果输入响应式状态引擎 subscribeTable(server="", tableName="trades", actionName="timeseries", offset=0, handler=append!{Tengine}, msgAsTable=true)