NoSQL with MongoDB in 24 Hours, Sams Teach Yourself

Brad Dayley is a senior software engineer with more than 20 years of experience developing enterprise applications. He has designed and developed large-scale business applications, including SAS applications with NoSQL database back ends and rich Internet web applications as front ends. He is the author of the jQuery and JavaScript Phrasebook, Sams Teach Yourself jQuery and JavaScript in 24 Hours, and Node.js, MongoDB and AngularJS Web Development.

Introduction   1
  How This Book Is Organized   1
  Code Examples   2
  Special Elements   2
  Q&A, Quiz, and Exercises   3


 

Part I: Getting Started with NoSQL and MongoDB




 

HOUR 1: Introducing NoSQL and MongoDB   5
  What Is NoSQL?   6
  Choosing RDBMS, NoSQL, or Both   7
  Understanding MongoDB   8
  MongoDB Data Types   10
  Planning Your Data Model   11
  Summary   17
  Q&A   18
  Workshop   18
HOUR 2: Installing and Configuring MongoDB   21
  Building the MongoDB Environment   21
  Accessing the MongoDB HTTP Interface   26
  Accessing MongoDB from the Shell Client   27
  Scripting the MongoDB Shell   31
  Summary   34
  Q&A   35
  Workshop   35
HOUR 3: Using JavaScript in the MongoDB Shell   37
  Defining Variables   37
  Understanding JavaScript Data Types   38
  Outputting Data in a MongoDB Shell Script   40
  Using Operators   40
  Implementing Looping   44
  Creating Functions   49
  Understanding Variable Scope   52
  Using JavaScript Objects   53
  Manipulating Strings   56
  Working with Arrays   60
  Adding Error Handling   65
  Summary   67
  Q&A   67
  Workshop   67

 



Part II: Implementing NoSQL in MongoDB  

HOUR 4: Configuring User Accounts and Access Control   69
  Understanding the Admin Database   69
  Administrating User Accounts   70
  Configuring Access Control   78
  Summary   83
  Q&A   83
  Workshop   83
HOUR 5: Managing Databases and Collections from the MongoDB Shell   85
  Understanding the Database and Collection Objects   85
  Managing Databases   91
  Managing Collections   96
  Implementing the Example Dataset   100
  Summary   104
  Q&A   104
  Workshop   104
HOUR 6: Finding Documents in the MongoDB Collection from the MongoDB Shell   107
  Understanding the Cursor Object   107
  Understanding Query Operators   109
  Getting Documents from a Collection   112
  Finding Specific Sets of Documents   117
  Summary   122
  Q&A   122
  Workshop   123
HOUR 7: Additional Data-Finding Operations Using the MongoDB Shell   125
  Counting Documents   125
  Sorting Results Sets   128
  Limiting Result Sets   130
  Finding Distinct Field Values   138
  Summary   141
  Q&A   141
  Workshop   141
HOUR 8: Manipulating MongoDB Documents in a Collection   143
  Understanding the Write Concern   143
  Configuring Database Connection Error Handling   144
  Getting the Status of Database Write Requests   145
  Understanding Database Update Operators   146
  Adding Documents to a Collection in the MongoDB Shell   149
  Updating Documents in a Collection from the MongoDB Shell   151
  Saving Documents in a Collection Using the MongoDB Shell   155
  Upserting Documents in Collections Using the MongoDB Shell   158
  Deleting Documents from a Collection Using the MongoDB Shell   161
  Summary   163
  Q&A   164
  Workshop   164
HOUR 9: Utilizing the Power of Grouping, Aggregation, and Map Reduce   167
  Grouping Results of Find Operations in the MongoDB Shell   167
  Using Aggregation to Manipulate the Data During Requests from the MongoDB Shell   171
  Applying Map Reduce to Generate New Data Results Using the MongoDB Shell   178
  Summary   183
  Q&A   184
  Workshop   184

 

Part III: Using MongoDB in Applications

 

HOUR 10: Implementing MongoDB in Java Applications   185
  Understanding MongoDB Driver Objects in Java   185
  Finding Documents Using Java   194
  Counting Documents in Java   201
  Sorting Results Sets in Java   203
  Summary   207
  Q&A   207
  Workshop   207
HOUR 11: Accessing Data from MongoDB in Java Applications   209
  Limiting Result Sets Using Java   209
  Finding a Distinct Field Value in Java   218
  Grouping Results of Find Operations in Java Applications   221
  Using Aggregation to Manipulate the Data During Requests from Java
  Applications   225
  Summary   228
  Q&A   229
  Workshop   229
HOUR 12: Working with MongoDB Data in Java Applications   231
  Adding Documents from Java   231
  Removing Documents from Java   236
  Saving Documents from Java   239
  Updating Documents from Java   241
  Upserting Documents from Java   245
  Summary   249
  Q&A   249
  Workshop   249
HOUR 13: Implementing MongoDB in PHP Applications   251
  Understanding MongoDB Driver Objects in PHP   251
  Finding Documents Using PHP   259
  Counting Documents in PHP   265
  Sorting Result Sets in PHP   267
  Summary   270
  Q&A   270
  Workshop   270
HOUR 14: Accessing Data from MongoDB in PHP Applications   273
  Limiting Result Sets Using PHP   273
  Finding Distinct Field Values in PHP   281
  Grouping Results of Find Operations in PHP Applications   283
  Using Aggregation to Manipulate the Data During Requests from PHP Applications   287
  Summary   290
  Q&A   290
  Workshop   290
HOUR 15: Working with MongoDB Data in PHP Applications   293
  Adding Documents from PHP   293
  Removing Documents from PHP   297
  Saving Documents from PHP   299
  Updating Documents from PHP   302
  Upserting Documents from PHP   305
  Summary   308
  Q&A   309
  Workshop   309
HOUR 16: Implementing MongoDB in Python Applications   311
  Understanding MongoDB Driver Objects in Python   311
  Finding Documents Using Python   318
  Counting Documents in Python   324
  Sorting Result Sets in Python   326
  Summary   329
  Q&A   329
  Workshop   329
HOUR 17: Accessing Data from MongoDB in Python Applications   331
  Limiting Result Sets Using Python   331
  Finding Distinct Field Value in Python   339
  Grouping Results of Find Operations in Python Applications   341
  Using Aggregation to Manipulate the Data During Requests from Python Applications   344
  Summary   347
  Q&A   347
  Workshop   348
HOUR 18: Working with MongoDB Data in Python Applications   349
  Adding Documents from Python   349
  Removing Documents from Python   353
  Saving Documents from Python   355
  Updating Documents from Python   358
  Upserting Documents from Python   361
  Summary   364
  Q&A   364
  Workshop   365
HOUR 19: Implementing MongoDB in Node.js Applications   367
  Understanding MongoDB Driver Objects in Node.js   367
  Finding Documents Using Node.js   377
  Counting Documents in Node.js   383
  Sorting Results Sets in Node.js   385
  Summary   388
  Q&A   389
  Workshop   389
HOUR 20: Accessing Data from MongoDB in Node.js Applications   391
  Limiting Result Sets Using Node.js   391
  Finding Distinct Field Value in Node.js   400
  Grouping Results of Find Operations in Node.js Applications   402
  Using Aggregation to Manipulate the Data During Requests from Node.js Applications   406
  Summary   409
  Q&A   409
  Workshop   410
HOUR 21: Working with MongoDB Data in Node.js Applications   411
  Adding Documents from Node.js   411
  Removing Documents from Node.js   416
  Saving Documents from Node.js   419
  Updating Documents from Node.js   423
  Upserting Documents from Node.js   427
  Summary   431
  Q&A   431
  Workshop   431

 

Part IV: Additional MongoDB Concepts

 

HOUR 22: Database Administration Using the MongoDB Shell   433
  Working with Databases and Collections   433
  Working with Indexes   438
  Understanding Performance and Diagnostic Tasks   443
  Repairing a MongoDB Database   453
  Backing Up MongoDB   454
  Summary   455
  Q&A   456
  Workshop   456
HOUR 23: Implementing Replication and Sharding in MongoDB   459
  Applying Replication in MongoDB   459
  Implementing Sharding in MongoDB   468
  Summary   479
  Q&A   479
  Workshop   479
HOUR 24: Implementing a MongoDB GridFS Store   481
  Understanding the GridFS Store   481
  Implementing a GridFS in the MongoDB Shell   482
  Implementing a MongoDB GridFS Using the Java MongoDB Driver   484
  Implementing a MongoDB GridFS Using the PHP MongoDB Driver   489
  Implementing a MongoDB GridFS Using the Python MongoDB Driver   494
  Implementing a MongoDB GridFS Using the Node.js MongoDB Driver   497
  Summary   502
  Q&A   502
  Workshop   502


Index   505