Overview
Covers Mongo DB query tuning, indexing principles, and schema design
Helps with server tuning, optimizing memory and disk, and cluster performance
Provides a repeatable process for readers to follow and apply to any performance problem
Outlines a top-down approach for remediating the most common, fundamental performance problems first
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Table of contents (14 chapters)
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Front Matter
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Methods and Tools
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Front Matter
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Application and Database Design
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Front Matter
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Tuning MongoDB Code
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Front Matter
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Server Tuning
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Front Matter
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Back Matter
Keywords
- MongoDB Tuning
- MongoDB Performance
- MongoDB Indexing
- MongoDB Schema Design
- MongoDB Monitoring
- MongoDB Optimization
- MongoDB Cluster Tuning
- MongoDB Atlas
- MongoDB: The Definitive Guide
- MongoDB Applied Design Patterns
- NoSQL Database
- MongoDB Compass
- MongoDB Query Tuning
- Graph Query Lookups
- Locking and Transactions
- WiredTiger Cache
- Sharding
About this book
MongoDB Performance Tuning takes a methodical and comprehensive approach to performance tuning that begins with application and schema design and goes on to cover optimization of code at all levels of an application. The book also explains how to configure MongoDB hardware and cluster configuration for optimal performance. The systematic approach in the book helps you treat the true causes of performance issues and get the best return on your tuning investment. Even when you’re under pressure and don’t know where to begin, simply follow the method in this book to set things right and get your MongoDB performance back on track.
What You Will Learn
- Apply a methodical approach to MongoDB performance tuning
- Understand how to design an efficient MongoDB application
- Optimize MongoDB document design and indexing strategies
- Tune MongoDB queries, aggregation pipelines, and transactions
- Optimize MongoDB server resources: CPU, memory, disk
- Configure MongoDB Replica sets and Sharded clusters for optimal performance
Who This Book Is For
Developers and administrators of high-performance MongoDB applications who want to be sure they are getting the best possible performance from their MongoDB system. For developers who wish to create applications that are fast, scalable, and cost-effective. For administrators who want to optimize their MongoDB server and hardware configuration.
Authors and Affiliations
About the authors
Michael Harrison is the lead developer at ProvenDB, working intimately with MongoDB from both an application and database perspective. He is a co-author of The MongoDB Workshop as well as senior developer of DBKoda, an open-source development environment for MongoDB.
Bibliographic Information
Book Title: MongoDB Performance Tuning
Book Subtitle: Optimizing MongoDB Databases and their Applications
Authors: Guy Harrison, Michael Harrison
DOI: https://doi.org/10.1007/978-1-4842-6879-7
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books
Copyright Information: Guy Harrison, Michael Harrison 2021
Softcover ISBN: 978-1-4842-6878-0Published: 02 April 2021
eBook ISBN: 978-1-4842-6879-7Published: 01 April 2021
Edition Number: 1
Number of Pages: XXIV, 349
Number of Illustrations: 92 b/w illustrations
Topics: Database Management