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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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Array sorting and percentiles

The need to sort arrays and calculate summary data, such as the 99th percentile, is common. Recent versions of the MongoDB aggregation framework offer enhanced capabilities in this area. This example will guide you through implementing this using both an earlier and a more recent version of MongoDB.

Scenario

You've conducted performance testing of an application with the results of each test run captured in a database. Each record contains a set of response times for the test run. You want to analyze the data from multiple runs to identify the slowest ones. You calculate the median (50th percentile) and 90th percentile response times for each test run and only keep results where the 90th percentile response time is greater than 100 milliseconds.

Note

For MongoDB version 5.0 and earlier, the example will use a macro function for inline sorting of arrays. Adopting this approach avoids the need for you to use the combination of the $unwind...

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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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