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Published inSep 2023
PublisherPackt
ISBN-139781835080641
Edition1st Edition
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Paul Done
Paul Done
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Paul Done

Paul Done is a Field CTO at MongoDB Inc., having been a Solutions Architect for the past decade at MongoDB. He has previously held roles in various software disciplines, including engineering, consulting, and pre-sales, at companies like Oracle, Novell, and BEA Systems. Paul specializes in databases and middleware, focusing on resiliency, scalability, transactions, event processing, and applying evolvable data model approaches. He spent most of the early 2000s building Java EE (J2EE) transactional systems on WebLogic, integrated with relational databases like Oracle RAC and messaging systems like MQ Series.
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Embrace composability for increased productivity

An aggregation pipeline is an ordered series of instructions, called stages. The entire output of one stage forms the whole input of the next stage, and so on—without any side effects. Pipelines exhibit high composability, where stages are stateless, self-contained components selected and assembled in various combinations (pipelines) to satisfy specific requirements. This property of aggregation pipelines makes iterative prototyping possible, with straightforward testing after each increment.

With MongoDB aggregations, you can take a complex problem, requiring a complex aggregation pipeline, and break it down into straightforward individual stages, where each step can be developed and tested in isolation. To better comprehend composability, it may be helpful to memorize the following visual model, in Figure 2.1:

Figure 2.1: Aggregation pipeline model

Suppose you have two pipelines with each pipeline...

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Practical MongoDB Aggregations
Published in: Sep 2023Publisher: PacktISBN-13: 9781835080641

Author (1)

author image
Paul Done

Paul Done is a Field CTO at MongoDB Inc., having been a Solutions Architect for the past decade at MongoDB. He has previously held roles in various software disciplines, including engineering, consulting, and pre-sales, at companies like Oracle, Novell, and BEA Systems. Paul specializes in databases and middleware, focusing on resiliency, scalability, transactions, event processing, and applying evolvable data model approaches. He spent most of the early 2000s building Java EE (J2EE) transactional systems on WebLogic, integrated with relational databases like Oracle RAC and messaging systems like MQ Series.
Read more about Paul Done