book

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

Name: The Definitive Guide to MongoDB: A complete guide to dealing with Big Data using MongoDB, Third Edition
ISBN: 9781484211823

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

December 2015

Beginner to intermediate

376 pages

10h 6m

English

Apress

Read now

Unlock full access

Cover
Title
Copyright
Dedication
Contents at a Glance
Contents
About the Authors
About the Technical Reviewer
About the Contributor
Acknowledgments

Introduction
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 ListWiredTigerUsing Document-Oriented Storage (BSON)Supporting Dynamic QueriesIndexing Your DocumentsLeveraging Geospatial IndexesProfiling QueriesUpdating Information In Place (Memory Mapped Database Only)Storing Binary DataReplicating DataImplementing ShardingUsing Map and Reduce FunctionsThe Aggregation FrameworkGetting HelpVisiting the WebsiteCutting and Pasting MongoDB CodeFinding Solutions on Google GroupsFinding Solutions on Stack OverflowLeveraging the JIRA Tracking SystemChatting with the MongoDB DevelopersSummary
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 InformationPluggable Storage EnginesUsing 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 AutomaticallyRemoving Elements from an ArraySpecifying the Position of a Matched ArrayAtomic OperationsModifying and Returning a Document AtomicallyProcessing Data in BulkExecuting Bulk OperationsEvaluating the OutputRenaming a CollectionDeleting DataReferencing a DatabaseReferencing Data ManuallyReferencing Data with DBRefImplementing Index-Related FunctionsSurveying Index-Related CommandsSummary
Chapter 5 : GridFS
Filling in Some BackgroundWorking with GridFSGetting Started with the Command-Line ToolsUsing the _id KeyWorking with FilenamesThe 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
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 OperatorsDetermining Whether a Field Has a ValueRegular ExpressionsModifying Data with PHPUpdating via update()Saving Time with Update OperatorsUpserting Data with save()Modifying a Document AtomicallyProcessing Data in BulkExecuting Bulk OperationsEvaluating the OutputDeleting 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 OperatorsReplacing Documents with replace_one()Modifying a Document AtomicallyPutting the Parameters to WorkProcessing Data in BulkExecuting Bulk OperationsDeleting DataCreating a Link Between Two DocumentsRetrieving the InformationSummary
Chapter 8 : Advanced Queries
Text SearchText Search Costs and LimitationsUsing Text SearchText Indexes in Other LanguagesCompound Indexing with Text IndexesThe Aggregation FrameworkUsing the $group CommandUsing the $limit OperatorUsing the $match OperatorUsing the $sort OperatorUsing the $unwind OperatorUsing the $skip OperatorUsing the $out OperatorUsing the $lookup OperatorMapReduceHow MapReduce WorksSetting Up Testing DocumentsWorking with Map FunctionsAdvanced MapReduceDebugging MapReduceSummary
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 RolesChanging a User’s CredentialsAdding a Read-Only UserDeleting a UserUsing Authenticated Connections in a PHP ApplicationManaging ServersStarting a ServerGetting the Server’s VersionGetting the Server’s StatusShutting Down a ServerUsing MongoDB Log FilesValidating and Repairing Your DataRepairing a ServerValidating a Single CollectionRepairing Collection Validation FaultsRepairing a Collection’s Data FilesCompacting a Collection’s Data FilesUpgrading MongoDBRolling Upgrade of MongoDBMonitoring MongoDBUsing MongoDB Cloud ManagerSummary
Chapter 10 : Optimization
Optimizing Your Server Hardware for PerformanceUnderstanding MongoDB’s Storage EnginesUnderstanding MongoDB Memory Use Under MMAPv1Understanding Working Set Size in MMAPv1Understanding MongoDB Memory Use Under WiredTigerCompression in WiredTigerChoosing 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 IndexThree-Step Compound Indexes By A. Jesse Jiryu DavisThe SetupRange QueryEquality Plus Range QueryDigression: How MongoDB Chooses an IndexEquality, Range Query, and SortFinal MethodSpecifying Index OptionsCreating an Index in the Background with {background:true}Creating an Index with a Unique Key {unique:true}Creating Sparse Indexes with {sparse:true}Creating Partial IndexesTTL IndexesText Search IndexesDropping an IndexReindexing a CollectionUsing hint( ) to Force Using a Specific IndexUsing Index FiltersOptimizing 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 ApplicationRead ConcernSummary
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 ShardingAdding More Config ServersSummary
Index

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

CHAPTER 8

Advanced Queries

The chapters so far have covered most of the basic query mechanisms to find one or a series of documents by given criteria. There are a number of mechanisms for finding given documents to bring them back to your application so they can be processed. But sometimes these normal query mechanisms fall short, and you might need to perform complex operations over most or all of the documents in your collection. When queries or operations of this kind are required, many developers either iterate through all documents in the collection or write a series of queries to be executed in sequence to perform the necessary calculations. ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.

Julian F.

Head of Cybersecurity

I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.

Addison B.

Field Engineer

I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.

Amir M.

Data Platform Tech Lead

I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.

Mark W.

Embedded Software Engineer

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

Publisher Resources

ISBN: 9781484211823Purchase book

Cloud Computing

Data Engineering

Data Science

AI & ML

Programming Languages

Software Architecture

IT/Ops

Security

Design

Business

Soft Skills

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

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

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.