Book Image

Learn MongoDB 4.x

By : Doug Bierer
Book Image

Learn MongoDB 4.x

By: Doug Bierer

Overview of this book

When it comes to managing a high volume of unstructured and non-relational datasets, MongoDB is the defacto database management system (DBMS) for DBAs and data architects. This updated book includes the latest release and covers every feature in MongoDB 4.x, while helping you get hands-on with building a MongoDB database app. You’ll get to grips with MongoDB 4.x concepts such as indexes, database design, data modeling, authentication, and aggregation. As you progress, you’ll cover tasks such as performing routine operations when developing a dynamic database-driven website. Using examples, you’ll learn how to work with queries and regular database operations. The book will not only guide you through design and implementation, but also help you monitor operations to achieve optimal performance and secure your MongoDB database systems. You’ll also be introduced to advanced techniques such as aggregation, map-reduce, complex queries, and generating ad hoc financial reports on the fly. Later, the book shows you how to work with multiple collections as well as embedded arrays and documents, before finally exploring key topics such as replication, sharding, and security using practical examples. By the end of this book, you’ll be well-versed with MongoDB 4.x and be able to perform development and administrative tasks associated with this NoSQL database.
Table of Contents (22 chapters)
1
Section 1: Essentials
5
Section 2: Building a Database-Driven Web Application
9
Section 3: Digging Deeper
13
Section 4: Replication, Sharding, and Security in a Financial Environment
14
Working with Complex Documents Across Collections

Unit test for the product entity

Rather than creating demo scripts, it is considered a best practice to create a unit test. First, you need to import unittest and set up a test class that inherits from unittest.TestCase:. Create a file named test_product.py and place it in a directory structure named test/sweetscomplete/entity. As with our demo script mentioned previously, we use the os and sys modules to tell Python where to find the source code. We also import json, unittest, and our Product class:

# sweetscomplete.entity.product.Product test
import os,sys
sys.path.append(os.path.realpath("../../../src"))
import json
import unittest
from sweetscomplete.entity.product import Product
class TestProduct(unittest.TestCase) :
productFromDict = None

Next, you define a dictionary with fields that are populated with test data. The productFromDict property is then initialized in the test method, setUp():

    testDict = dict({
'productKey' : &apos...