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The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB, Second Edition

Name: The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB, Second Edition
ISBN: 9781430258216

by David Hows, Peter Membrey, Eelco Plugge, Tim Hawkins

November 2013

Beginner to intermediate

319 pages

9h 25m

English

Apress

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Title Page
Dedication
Contents at a Glance
Contents
About the Authors
About the Technical Reviewers
Acknowledgments
Introduction
PART 1: MongoDB Basics
CHAPTER 1: Introduction to MongoDB
Reviewing the MongoDB PhilosophyUsing the Right Tool for the Right JobLacking Innate Support for TransactionsJSON and MongoDBAdopting a Nonrelational ApproachOpting for Performance vs. FeaturesRunning the Database AnywhereFitting Everything TogetherGenerating or Creating a KeyUsing Keys and ValuesImplementing CollectionsUnderstanding DatabasesReviewing the Feature ListUsing Document-Oriented Storage (BSON)Supporting Dynamic QueriesIndexing Your DocumentsLeveraging Geospatial IndexesProfiling QueriesUpdating Information In-PlaceStoring Binary DataReplicating DataImplementing ShardingUsing Map and Reduce FunctionsThe All-New Aggregation FrameworkGetting HelpVisiting the WebsiteChatting with the MongoDB DevelopersCutting and Pasting MongoDB CodeFinding Solutions on Google GroupsLeveraging the JIRA Tracking SystemSummary

CHAPTER 2: Installing MongoDB
Choosing Your VersionUnderstanding the Version NumbersInstalling MongoDB on Your SystemInstalling MongoDB under LinuxInstalling MongoDB under WindowsRunning MongoDBPrerequisitesSurveying the Installation LayoutUsing the MongoDB ShellInstalling Additional DriversInstalling the PHP DriverConfirming That Your PHP Installation WorksInstalling the Python DriverConfirming That Your PyMongo Installation WorksSummary
CHAPTER 3: The Data Model
Designing the DatabaseDrilling Down on CollectionsUsing DocumentsCreating the _id FieldBuilding IndexesImpacting Performance with IndexesImplementing Geospatial IndexingQuerying Geospatial InformationUsing MongoDB in the Real WorldSummary
CHAPTER 4: Working with Data
Navigating Your DatabasesViewing Available Databases and CollectionsInserting Data into CollectionsQuerying for DataUsing the Dot NotationUsing the Sort, Limit, and Skip FunctionsWorking with Capped Collections, Natural Order, and $naturalRetrieving a Single DocumentUsing the Aggregation CommandsWorking with Conditional OperatorsLeveraging Regular ExpressionsUpdating DataUpdating with update( )Implementing an Upsert with the save( ) CommandUpdating Information AutomaticallySpecifying the Position of a Matched ArrayAtomic OperationsModifying and Returning a Document AtomicallyRenaming a CollectionRemoving DataReferencing a DatabaseReferencing Data ManuallyReferencing Data with DBRefImplementing Index-Related FunctionsSurveying Index-Related CommandsForcing a Specified Index to Query DataConstraining Query MatchesSummary
CHAPTER 5: GridFS
Filling in Some BackgroundWorking with GridFSGetting Started with the Command-Line ToolsUsing the _id KeyWorking with FilenamesDetermining a File’s LengthWorking with Chunk SizesTracking the Upload DateHashing Your FilesLooking Under MongoDB’s HoodUsing the search CommandDeletingRetrieving Files from MongoDBSumming Up mongofilesExploiting the Power of PythonConnecting to the DatabaseAccessing the WordsPutting Files into MongoDBRetrieving Files from GridFSDeleting FilesSummary
PART 2: Developing with MongoDB
CHAPTER 6: PHP and MongoDB
Comparing Documents in MongoDB and PHPMongoDB ClassesConnecting and DisconnectingInserting DataListing Your DataReturning a Single DocumentListing All DocumentsUsing Query OperatorsQuerying for Specific InformationSorting, Limiting, and Skipping ItemsCounting the Number of Matching ResultsGrouping Data with the Aggregation FrameworkSpecifying the Index with HintRefining Queries with Conditional OperatorsRegular ExpressionsModifying Data with PHPUpdating via update( )Saving Time with Update OperatorsUpserting Data with save( )Modifying a Document AtomicallyDeleting DataDBRefRetrieving the InformationGridFS and the PHP DriverStoring FilesAdding More Metadata to Stored FilesRetrieving FilesDeleting DataSummary
CHAPTER 7: Python and MongoDB
Working with Documents in PythonUsing PyMongo ModulesConnecting and DisconnectingInserting DataFinding Your DataFinding a Single DocumentFinding Multiple DocumentsUsing Dot NotationReturning FieldsSimplifying Queries with sort( ), limit( ), and skip( )Aggregating QueriesSpecifying an Index with hint( )Refining Queries with Conditional OperatorsConducting Searches with Regular ExpressionsModifying the DataUpdating Your DataModifier OperatorsSaving Documents Quickly with save( )Modifying a Document AtomicallyPutting the Parameters to WorkDeleting DataCreating a Link Between Two DocumentsRetrieving the InformationSummary
CHAPTER 8: Advanced Queries
Text SearchText Search Costs and LimitationsEnabling Text SearchUsing Text SearchText Indexes in Other LanguagesCompound Indexing with Text IndexesThe Aggregation Framework$group$limit$match$sort$unwind$skipMapReduceHow MapReduce WorksSetting Up Testing DocumentsWorking with Map functionsAdvanced MapReduceDebugging MapReduceSummary
PART 3: Advanced MongoDB with Big Data
CHAPTER 9: Database Administration
Using Administrative Toolsmongo, the MongoDB ConsoleUsing Third-Party Administration ToolsBacking Up the MongoDB ServerCreating a Backup 101Backing Up a Single DatabaseBacking Up a Single CollectionDigging Deeper into BackupsRestoring Individual Databases or CollectionsRestoring a Single DatabaseRestoring a Single CollectionAutomating BackupsUsing a Local DatastoreUsing a Remote (Cloud-Based) DatastoreBacking Up Large DatabasesUsing a Hidden Secondary Server for BackupsCreating Snapshots with a Journaling FilesystemDisk Layout to Use with Volume ManagersImporting Data into MongoDBExporting Data from MongoDBSecuring Your Data by Restricting Access to a MongoDB ServerProtecting Your Server with AuthenticationAdding an Admin UserEnabling AuthenticationAuthenticating in the mongo ConsoleMongoDB User RolesDelegated CredentialsChanging a User’s CredentialsAdding a Read-Only UserDeleting a UserUsing Authenticated Connections in a PHP ApplicationManaging ServersStarting a ServerReconfiguring a ServerGetting the Server’s VersionGetting the Server’s StatusShutting Down a ServerUsing MongoDB LogfilesValidating and Repairing Your DataRepairing a ServerValidating a Single CollectionRepairing Collection Validation FaultsRepairing a Collection’s DatafilesCompacting a Collection’s DatafilesUpgrading MongoDBRolling Upgrade of MongoDBMonitoring MongoDBUsing the MongoDB Management Service (MMS)Summary
CHAPTER 10: Optimization
Optimizing Your Server Hardware for PerformanceUnderstanding How MongoDB Uses MemoryUnderstanding Working Set SizeChoosing the Right Database Server HardwareEvaluating Query PerformanceThe MongoDB ProfilerAnalyzing a Specific Query with explain( )Using the Profiler and explain( ) to Optimize a QueryManaging IndexesListing IndexesCreating a Simple IndexCreating a Compound IndexSpecifying Index OptionsCreating an Index in the Background with {background:true}Creating an Index with a Unique Key {unique:true}Dropping Duplicates Automatically with {dropdups:true}Creating Sparse Indexes with {sparse:true}TTL IndexesText Search IndexesDropping an IndexReindexing a CollectionHow MongoDB Selects Which Indexes It Will UseUsing hint( ) to Force Using a Specific IndexOptimizing the Storage of Small ObjectsSummary
CHAPTER 11: Replication
Spelling Out MongoDB’s Replication GoalsImproving ScalabilityImproving Durability/ReliabilityProviding IsolationReplication FundamentalsWhat Is a Primary?What Is a Secondary?What Is an Arbiter?Drilling Down on the OplogImplementing a Replica SetCreating a Replica SetGetting a Replica Set Member Up and RunningAdding a Server to a Replica SetAdding an ArbiterReplica Set ChainingManaging Replica SetsConfiguring the Options for Replica Set MembersConnecting to a Replica Set from Your ApplicationSummary
CHAPTER 12: Sharding
Exploring the Need for ShardingPartitioning Horizontal and Vertical DataPartitioning Data VerticallyPartitioning Data HorizontallyAnalyzing a Simple Sharding ScenarioImplementing Sharding with MongoDBSetting Up a Sharding ConfigurationDetermining How You’re ConnectedListing the Status of a Sharded ClusterUsing Replica Sets to Implement ShardsThe BalancerHashed Shard KeysTag ShardingSummary
Index

Overview

The Definitive Guide to MongoDB, Second Edition, is updated for the latest version and includes all of the latest MongoDB features, including the aggregation framework introduced in version 2.2 and hashed indexes in version 2.4. MongoDB is the most popular of the "Big Data" NoSQL database technologies, and it's still growing. David Hows from 10gen, along with experienced MongoDB authors Peter Membrey and Eelco Plugge, provide their expertise and experience in teaching you everything you need to know to become a MongoDB pro.

The Definitive Guide to MongoDB, Second Edition, starts with the basics, including how to install on Windows, Linux, and OS X, and how MongoDB handles your data. Then you'll learn how to develop with MongoDB with both PHP and Python, including an example application using a PHP driver to create a blog application. Finally, you'll dig into more advanced but extremely important MongoDB features, including optimization, replication, and sharding -- load-balancing that makes MongoDB ideal for dealing with Big Data.

If you're dealing with data, MongoDB should be on your must-learn list. The Definitive Guide to MongoDB, Second Edition, is just the book you need.

What you'll learn

Set up MongoDB on all major server platforms, including Windows, Linux, OS X, and cloud platforms like Rackspace, Azure, and Amazon EC2

Work with GridFS and the new aggregation framework

Work with your data using non-SQL commands

Write applications using either PHP or Python

Optimize MongoDB

Master MongoDB administration, including replication, replication tagging, and tag-aware sharding

Who this book is for

Database admins and developers who need to get up to speed on MongoDB and its Big Data, NoSQL approach to dealing with data management.

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The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB, Third Edition

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