Book Image

MongoDB Administrator???s Guide

By : Cyrus Dasadia
Book Image

MongoDB Administrator???s Guide

By: Cyrus Dasadia

Overview of this book

MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations. Packed with many features that have become essential for many different types of software professional and incredibly easy to use, this cookbook contains more than 100 recipes to address the everyday challenges of working with MongoDB. Starting with database configuration, you will understand the indexing aspects of MongoDB. The book also includes practical recipes on how you can optimize your database query performance, perform diagnostics, and query debugging. You will also learn how to implement the core administration tasks required for high-availability and scalability, achieved through replica sets and sharding, respectively. You will also implement server security concepts such as authentication, user management, role-based access models, and TLS configuration. You will also learn how to back up and recover your database efficiently and monitor server performance. By the end of this book, you will have all the information you need—along with tips, tricks, and best practices—to implement a high-performance MongoDB solution.
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Monitoring and killing long running operations on MongoDB


In this recipe, we will look at how to find and monitor operations on MongoDB. This can help us keep an eye on any anomalous behavior or catch suboptimal queries.

Getting ready

All you need is a single-node MongoDB instance. Additionally, in order to simulate a busy production system, you may need to add a collection with a couple of million documents. If you are lazy like me, simply run the following:

for x in $(seq 30); do mongoimport -h 192.168.200.200 --type csv --headerline -d mydb-c mycol chapter_2_mock_data.csv;done

How to do it...

  1. In one Terminal window, connect to the mongod instance using mongo shell and run a find() query for a string that does not exist in the database:
db.people.find({name: 'Foobar'})
  1. In another Terminal window, connect to the mongod instance using mongo shell and run db.currentOp():
use mydb

db.currentOp()
  1. You should see output similar to this:
{
    "inprog" : [
        {
            "desc" : "conn11",
    ...