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You're reading from  Practical MongoDB Aggregations

Product typeBook
Published inMar 2024
PublisherPackt
ISBN-139781835884362
Edition1st Edition
Tools
MongoDB
Concepts
Database Programming
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Author (1)
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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Guidance for optimizing pipeline performance

Similar to any programming language, there is a downside if you prematurely optimize an aggregation pipeline. You risk producing an over-complicated solution that doesn't address the performance challenges that will manifest. As described in the previous section, the tool you should use to identify performance bottlenecks and opportunities for optimization is the explain plan. You will typically use the explain plan during the final stages of your pipeline's development once it is functionally correct.

With all that said, it can still help you to be aware of some guiding principles regarding performance while you are prototyping a pipeline. Critically, such guiding principles will be invaluable to you once the aggregation's explain plan is analyzed and if it shows that the current pipeline is suboptimal.

Be cognizant of streaming vs blocking stages ordering

When executing an aggregation pipeline, the database engine...

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Practical MongoDB Aggregations
Published in: Mar 2024Publisher: PacktISBN-13: 9781835884362
© 2024 Packt Publishing Limited All Rights Reserved

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

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