"for a description of how to handle measures with multiple aggregation functions 關(guān)于如何處理多個(gè)聚合函數(shù),請(qǐng)參見(jiàn)“
However, you should consider this approach only if memory is a constraint, because performing multiple aggregations within one aggregate transformation serializes the aggregation operations 但是,只有在內(nèi)存不足時(shí)才應(yīng)考慮這種方法,因?yàn)樵谝粋€(gè)聚合轉(zhuǎn)換內(nèi)執(zhí)行多個(gè)聚合會(huì)序列化聚合操作。
If you need to create multiple aggregations in a data flow, you should consider creating multiple aggregations using one aggregate transformation instead of creating multiple transformations 如果需要在數(shù)據(jù)流中創(chuàng)建多個(gè)聚合,您應(yīng)該考慮使用一個(gè)聚合轉(zhuǎn)換而不是使用多個(gè)轉(zhuǎn)換來(lái)創(chuàng)建多個(gè)聚合。
If you need to create multiple aggregations in a data flow, you should consider creating multiple aggregations using one aggregate transformation instead of creating multiple transformations 如果需要在數(shù)據(jù)流中創(chuàng)建多個(gè)聚合,您應(yīng)該考慮使用一個(gè)聚合轉(zhuǎn)換而不是使用多個(gè)轉(zhuǎn)換來(lái)創(chuàng)建多個(gè)聚合。
Unlike symmetric measures, which have one aggregation function applied to the sql expression template for all of the dimensions, asymmetric measures will have multiple aggregation functions applied to the sql template 對(duì)于對(duì)稱(chēng)的度量,要將一個(gè)聚合函數(shù)應(yīng)用于所有維的sql表達(dá)式模板;但是非對(duì)稱(chēng)度量有多個(gè)聚合函數(shù)要應(yīng)用于sql模板。