國立高雄大學圖資館 |

Language: English

Back

MongoDB performance tuningoptimizing...

Harrison, Guy.

MongoDB performance tuningoptimizing MongoDB databases and their applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	MongoDB performance tuningby Guy Harrison, Michael Harrison.
Reminder of title:	optimizing MongoDB databases and their applications /
Author:	Harrison, Guy.
other author:	Harrison, Michael.
Published:	Berkeley, CA :Apress :2021.
Description:	xxiv, 349 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Database management.
Online resource:	https://doi.org/10.1007/978-1-4842-6879-7
ISBN:	9781484268797$q(electronic bk.)

MongoDB performance tuningoptimizing MongoDB databases and their applications /
Harrison, Guy.

MongoDB performance tuningoptimizing MongoDB databases and their applications /[electronic resource] :by Guy Harrison, Michael Harrison. - Berkeley, CA :Apress :2021. - xxiv, 349 p. :ill., digital ;24 cm.

Part I. Methods and Tools -- 1. Methodical Performance Tuning -- 2. MongoDB Architecture and Concepts -- 3. Tools of the Trade -- Part II. Application and Database Design -- 4. Schema Modelling -- 5. Indexing -- Part III. Tuning MongoDB Code -- 6. Query Tuning -- 7. Tuning Aggregation Pipelines -- 8. Inserts, Updates and Deletes -- 9. Transactions -- 10. Server Monitoring -- Part IV. Server Tuning -- 11. Memory Tuning -- 12. Disk IO -- 13. Replica Sets and Atlas -- 14. Sharding.

Use this fast and complete guide to optimize the performance of MongoDB databases and the applications that depend on them. You will be able to turbo-charge the performance of your MongoDB applications to provide a better experience for your users, reduce your running costs, and avoid application growing pains. MongoDB is the world's most popular document database and the foundation for thousands of mission-critical applications. This book helps you get the best possible performance from MongoDB. 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. You will: 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.

ISBN: 9781484268797$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-6879-7doiSubjects--Uniform Titles:

MongoDB.
Subjects--Topical Terms:

182428
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

MongoDB performance tuningoptimizing MongoDB databases and their applications /
LDR:03054nmm a2200337 a 4500 001 599893
003 DE-He213
005 20210719141357.0
006 m d
007 cr nn 008maaau
008 211027s2021 cau s 0 eng d
020 $a 9781484268797$q(electronic bk.)
020 $a 9781484268780$q(paper)
024 7 $a 10.1007/978-1-4842-6879-7 $2 doi
035 $a 978-1-4842-6879-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
072 7 $a UMT $2 thema
082 0 4 $a 005.74 $2 23
090 $a QA76.9.D3 $b H318 2021
100 1 $a Harrison, Guy. $3 732804
245 1 0 $a MongoDB performance tuning $h [electronic resource] : $b optimizing MongoDB databases and their applications / $c by Guy Harrison, Michael Harrison.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a xxiv, 349 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I. Methods and Tools -- 1. Methodical Performance Tuning -- 2. MongoDB Architecture and Concepts -- 3. Tools of the Trade -- Part II. Application and Database Design -- 4. Schema Modelling -- 5. Indexing -- Part III. Tuning MongoDB Code -- 6. Query Tuning -- 7. Tuning Aggregation Pipelines -- 8. Inserts, Updates and Deletes -- 9. Transactions -- 10. Server Monitoring -- Part IV. Server Tuning -- 11. Memory Tuning -- 12. Disk IO -- 13. Replica Sets and Atlas -- 14. Sharding.
520 $a Use this fast and complete guide to optimize the performance of MongoDB databases and the applications that depend on them. You will be able to turbo-charge the performance of your MongoDB applications to provide a better experience for your users, reduce your running costs, and avoid application growing pains. MongoDB is the world's most popular document database and the foundation for thousands of mission-critical applications. This book helps you get the best possible performance from MongoDB. 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. You will: 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.
630 0 0 $a MongoDB. $3 497884
650 0 $a Database management. $3 182428
650 1 4 $a Database Management. $3 273994
700 1 $a Harrison, Michael. $3 894231
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-6879-7
950 $a Professional and Applied Computing (SpringerNature-12059)