Abstract
In the earlier chapters of this book, we looked at techniques for reducing the workload demands on the MongoDB server. We considered options for structuring and indexing our datasets and tuning our MongoDB requests to minimize the amount of data that has to be processed in response to a work request. Maybe 80% of the performance gains from performance tuning come from these application-level optimizations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
This script in included within our tuning scripts as mongoTuning.memoryReport().
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2021 Guy Harrison, Michael Harrison
About this chapter
Cite this chapter
Harrison, G., Harrison, M. (2021). Memory Tuning. In: MongoDB Performance Tuning. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6879-7_11
Download citation
DOI: https://doi.org/10.1007/978-1-4842-6879-7_11
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-6878-0
Online ISBN: 978-1-4842-6879-7
eBook Packages: Professional and Applied ComputingProfessional and Applied Computing (R0)Apress Access Books