MongoDB 如何实现子文档分组汇总

本文介绍如何在MongoDB中对嵌套子文档进行分组和汇总操作。通常,这种需求可以通过MapReduce实现,但过程复杂。而使用集算器SPL,可以更简便地完成这个任务,通过编写脚本对每条记录的子文档进行分组求和,并直接将结果赋值回子文档。

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MongoDB作为当前最流行的非关系型数据库,能通过嵌套子文档,实现一对多的关联关系。应用开发中,常会遇到对嵌套子文档结构的记录,进行分组汇总,如有数据:

{
"warehouseNsId":"10","brandId":37,"financeOwnerId":1231882808817905665,"amount":0,"items":[ {"goodsNsId":"1353","price":"256.00","count":3}, {"goodsNsId":"1799","price":"254.80","count":6}, {"goodsNsId":"1353","price":"256.00","count":10} ] },{ "warehouseNsId":"15","brandId":35,"financeOwnerId":1231882808817905600,"amount":0,"items":[ {"goodsNsId":"1327","price":"238.00","count":17}, {"goodsNsId":"1539","price":"154.80","count":25}, {"goodsNsId":"1327","price":"238.00","count":13}, {"goodsNsId":"1539","price":"154.80","count":15} ]}, ...

按每条记录的 items.goodsNsId 分组,对 items.count 求和,希望结果如下:

{
"warehouseNsId":"10","brandId":37,"financeOwnerId":1231882808817905665,"amount":0,"items":[ {"goodsNsId":"1353","price":"256.00","count":13}, {"goodsNsId":"1799","price":"254.80",
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