addReactiveMetrics

addReactiveMetrics(name, metricNames, metrics)

name 字符串，表示需要增加指标的 narrowReactiveStateEngine 的名称。

metricNames 字符串标量或向量，表示 narrowReactiveStateEngine 增加的计算指标的名称。

metrics 以元代码的格式表示计算指标，支持输入元组，表示流数据引擎增加的计算指标。计算指标与 metricNames 指定的名称一一对应。

动态增加 narrowReactiveStateEngine 的计算指标。更新后的计算指标在引擎后续注入的数据时生效。

dummy = streamTable(1:0, ["securityID1","securityID2","securityID3","createTime","updateTime","upToDatePrice","qty","value"], [STRING,STRING,STRING,TIMESTAMP,TIMESTAMP,DOUBLE,DOUBLE,INT]) 
outputTable = streamTable(1:0,["securityID1","securityID2","securityID3","createTime","updateTime","metricNames","factorValue"], [STRING,STRING,STRING, TIMESTAMP,TIMESTAMP,STRING,DOUBLE])
factor = [<createTime>, <updateTime>,<cumsum(qty)>]
Narrowtest = createNarrowReactiveStateEngine(name="narrowtest1",metrics=factor,metricNames="factor1",dummyTable=dummy,outputTable=outputTable,keyColumn=["securityID1","securityID2","securityID3"])
num = 5
tmp = table(take("A" + lpad(string(1..4),4,"0"),num) as securityID1,take("CC.HH" + lpad(string(21..34),4,"0"),num) as securityID2,take("FFICE" + lpad(string(13..34),4,"0"),num) as securityID3, 2023.09.01 00:00:00+(1..num) as createTime, 2023.09.01 00:00:00+(1..num) as updateTime,100.0+(1..num) as upToDatePrice, 130.0+(1..num) as qty,take(1..3,num) as value)
Narrowtest.append!(tmp)

select * from outputTable

metrics = [<cumavg(upToDatePrice)>]
addReactiveMetrics("narrowtest1", "factor2", metrics)

//新增计算指标后，再次向引擎注入数据，则会输出更新后的指标计算结果
tmp1 = table("A5" as securityID1,"CC.HH0033" as securityID2,"FFICE0034" as securityID3, 2023.09.01 00:00:11 as createTime, 2023.09.01 00:00:09 as updateTime,59 as upToDatePrice,100 as qty,13 as value)
Narrowtest.append!(tmp1)
select * from outputTable where securityID1="A5"

相关函数：createNarrowReactiveStateEngine，getReactiveMetrics