Received: by 10.58.12.6 with SMTP id u6mr1170867veb.0.1349445410044; Fri, 05 Oct 2012 06:56:50 -0700 (PDT) X-BeenThere: mongodb-user@googlegroups.com Received: by 10.220.210.197 with SMTP id gl5ls153904vcb.0.gmail; Fri, 05 Oct 2012 06:56:42 -0700 (PDT) Received: by 10.52.30.164 with SMTP id t4mr1606063vdh.4.1349445402034; Fri, 05 Oct 2012 06:56:42 -0700 (PDT) Date: Fri, 5 Oct 2012 06:56:41 -0700 (PDT) From: Vishal Mody To: mongodb-user@googlegroups.com Message-Id: <6340204f-f17f-4c9f-8209-c0ceb114b446@googlegroups.com> Subject: MapReduce - MongoDB - Aggregation MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="----=_Part_113_5683263.1349445401724" ------=_Part_113_5683263.1349445401724 Content-Type: multipart/alternative; boundary="----=_Part_114_22699105.1349445401724" ------=_Part_114_22699105.1349445401724 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 7bit Hi, I am looking into using MapReduce Aggregation framework on top of my stored data in MongoDB in different collections. I want these MapReduce jobs Aggregation logic more customizable such that it can be changed easily based on business rules. Is there any way you can extract that MapReduce functionality or any tool which makes this possible. I am a beginner MongoDB user so pardon my some terminology or understanding of perfect concept behind MapReduce/MongoDB and if was not clear in my question. Thanks, Vishal Mody ------=_Part_114_22699105.1349445401724 Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: 7bit Hi,

I am looking into using MapReduce Aggregation framework on top of my stored data in MongoDB in different collections.

I want these MapReduce jobs Aggregation logic more customizable such that it can be changed easily based on business rules. Is there any way you can extract that MapReduce functionality or any tool which makes this possible.

I am a beginner MongoDB user so pardon my some terminology or understanding of perfect concept behind MapReduce/MongoDB and if was not clear in my question. 


Thanks,
Vishal Mody
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