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MongoDB High Availability

You're reading from   MongoDB High Availability Design and implement a highly available server using the latest features of MongoDB.

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Product type Paperback
Published in Jul 2014
Publisher
ISBN-13 9781783986729
Length 164 pages
Edition 1st Edition
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Author (1):
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Afshin Mehrabani Afshin Mehrabani
Author Profile Icon Afshin Mehrabani
Afshin Mehrabani
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Toc

Table of Contents (12) Chapters Close

Preface 1. Understanding the MongoDB Architecture and Processes FREE CHAPTER 2. Understanding MongoDB's Failures and Limitations 3. Clustering in MongoDB 4. Utilizing a Replica Set 5. Replica Set in Action 6. Understanding the Concept of Sharding 7. Sharding in Action 8. Analyzing and Improving Database Performance 9. Migrating Instances and Reducing Downtime 10. Monitoring and Troubleshooting the Database Index

Introducing other analytics methods


MongoDB provides the explain() function, which provides you a detailed procedure for the current operator. For instance, consider following command:

db.testcollection.find().sort({x: -1}).explain()

The preceding command will execute the find operator and sort the records descending from the x field. Then, the explain() function shows an output as follows:

{
    "cursor": "BasicCursor",
    "isMultiKey": false,
    "n": 100000,
    "nscannedObjects": 100000,
    "nscanned": 100000,
    "nscannedObjectsAllPlans": 100000,
    "nscannedAllPlans": 100000,
    "scanAndOrder": true,
    "indexOnly": false,
    "nYields": 1563,
    "nChunkSkips": 0,
    "millis": 406,
    "server": "mongotest:27017",
    "filterSet": false
}

In the preceding JSON format, the n field is an integer that reflects the number of affected records. Also, the indexOnly field is Boolean and returns true only when returned fields are already indexed.

Moreover, the millis field is an integer...

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