Intro To MongoDB

Intro to MongoDB Alex Sharp twitter: @ajsharp email: ajsharp@frothlogic.com Monday, February 22, 2010

So what is MongoDB? Monday, February 22, 2010

First and foremost... Monday, February 22, 2010

IT’S THE NEW HOTNESS!!! Monday, February 22, 2010

omgomgomg SHINY OBJECTS omgomgomg Monday, February 22, 2010

MongoDB (from "humongous") is a scalable, high-performance, open source, schema-free, document-oriented database. - mongodb.org Monday, February 22, 2010

Philosophy Monday, February 22, 2010

Philosophy “One size ﬁts all” approach no longer applies Monday, February 22, 2010

Philosophy Non-relational DBs scale more easily, especially horizontally Monday, February 22, 2010

Philosophy Focus on speed, performance, ﬂexibility and scalability Monday, February 22, 2010

Philosophy Not concerned with transactional stuff and relational semantics Monday, February 22, 2010

Philosophy DBs should be an on-demand commodity, in a cloud- like fashion Monday, February 22, 2010

Philosophy Mongo tries to achieve the performance of traditional key-value stores while maintaining functionality of traditional RDBMS Monday, February 22, 2010

Features Monday, February 22, 2010

Features Standard database stuff Monday, February 22, 2010

Features Standard database stuff Indexing Monday, February 22, 2010

Features Standard database stuff Indexing replication/failover support Monday, February 22, 2010

Features: Document Storage Documents are stored in BSON (binary JSON) Monday, February 22, 2010

Features: Document Storage BSON is a binary serialization of JSON-like objects Monday, February 22, 2010

Features: Document Storage This is extremely powerful, b/c it means mongo understands JSON natively Monday, February 22, 2010

Features: Document Storage Any valid JSON can be easily imported and queried Monday, February 22, 2010

Features Schema-less; very ﬂexible Monday, February 22, 2010

Features Schema-less; very ﬂexible no more blocking ALTER TABLE Monday, February 22, 2010

Features Auto-sharding (alpha) Monday, February 22, 2010

Features Makes for easy horizontal scaling Monday, February 22, 2010

Features Map/Reduce Monday, February 22, 2010

Features Very, very fast Monday, February 22, 2010

Features Super easy to install Monday, February 22, 2010

Features Strong with major languages Monday, February 22, 2010

Features Document-oriented = ﬂexible Monday, February 22, 2010

Features: Querying Rich, javascript-based query syntax Monday, February 22, 2010

Features: Querying Rich, javascript-based query syntax Allows us to deep, nested queries Monday, February 22, 2010

Features: Querying Rich, javascript-based query syntax Allows us to do deep, nested queries db.order.find( { shipping: { carrier: "usps" } } ); Monday, February 22, 2010

Features: Querying Rich, javascript-based query syntax Allows us to deep, nested queries db.order.find( { shipping: { carrier: "usps" } } ); shipping is an embedded document (object) Monday, February 22, 2010

Features: Binary Object Store Efﬁcient binary large object store via GridFS Monday, February 22, 2010

Features: Binary Object Store Efﬁcient binary large object store via GridFS i.e. store images, videos, anything Monday, February 22, 2010

Concepts Monday, February 22, 2010

Concepts: Document-oriented Think of “documents” as database records Monday, February 22, 2010

Concepts: Document-oriented Think of “documents” as database records Documents are basically just JSON objects that Mongo stores in binary Monday, February 22, 2010

Concepts: Document-oriented Think of “collections” as database tables Monday, February 22, 2010

Concept Mapping RDBMS (mysql, postgres) MongoDB Tables Collections Monday, February 22, 2010

Concept Mapping RDBMS (mysql, postgres) MongoDB Tables Collections Records/rows Documents/objects Monday, February 22, 2010

Concept Mapping RDBMS (mysql, postgres) MongoDB Tables Collections Records/rows Documents/objects Queries return record(s) Queries return a cursor Monday, February 22, 2010

Concept Mapping RDBMS (mysql, postgres) MongoDB Tables Collections Records/rows Documents/objects Queries return record(s) Queries return a cursor Monday, February 22, 2010 ???

Concepts: Cursors Queries return “cursors” instead of collections Monday, February 22, 2010

Concepts: Cursors Queries return “cursors” instead of collections A cursor allows you to iterate through the result set Monday, February 22, 2010

Concepts: Cursors Queries return “cursors” instead of collections A cursor allows you to iterate through the result set A big reason for this is performance Monday, February 22, 2010

Concepts: Cursors Queries return “cursors” instead of collections A cursor allows you to iterate through the result set A big reason for this is performance Much more efﬁcient than loading all objects into memory Monday, February 22, 2010

Concepts: Cursors The ﬁnd() function returns a cursor object Monday, February 22, 2010

Concepts: Cursors The ﬁnd() function returns a cursor object var cursor = db.logged_requests.find({ 'status_code' : 200 }) cursor.hasNext() // "true" cursor.forEach( function(item) { print(tojson(item)) } ); cursor.hasNext() // "false" Monday, February 22, 2010

Cool Features Monday, February 22, 2010

Cool Features Capped collections Monday, February 22, 2010

Cool Features Capped collections Fixed-sized, limited operation, auto-LRU age-out collections Monday, February 22, 2010

Cool Features Capped collections Fixed-sized, limited operation, auto-LRU age-out collections Fixed insertion order Monday, February 22, 2010

Cool Features Capped collections Fixed-sized, limited operation, auto-LRU age-out collections Fixed insertion order Super fast Monday, February 22, 2010

Cool Features Capped collections Fixed-sized, limited operation, auto-LRU age-out collections Fixed insertion order Super fast Ideal for logging and caching Monday, February 22, 2010

Cool Uses Data Warehouse Mongo understands JSON natively Monday, February 22, 2010

Cool Uses Data Warehouse Mongo understands JSON natively Very powerful for analysis Monday, February 22, 2010

Cool Uses Data Warehouse Mongo understands JSON natively Very powerful for analysis Query a bunch of data from some web service Monday, February 22, 2010

Cool Uses Data Warehouse Mongo understands JSON natively Very powerful for analysis Query a bunch of data from some web service Import into mongo (mongoimport -f ﬁlename.json) Monday, February 22, 2010

Cool Uses Data Warehouse Mongo understands JSON natively Very powerful for analysis Query a bunch of data from some web service Import into mongo (mongoimport -f ﬁlename.json) Analyze to your heart’s content Monday, February 22, 2010

Cool Uses Harmonyapp.com Large rails app for building websites (kind of a CMS) Monday, February 22, 2010

Cool Uses Hardcore debugging Spit out large amounts of data Monday, February 22, 2010

Limitations Transaction support Monday, February 22, 2010

Limitations Transaction support Relational integrity Monday, February 22, 2010

Resources http://mongodb.org http://www.mongodb.org/display/DOCS/Tutorial http://www.mongodb.org/display/DOCS/Use+Cases http://blog.mongodb.org/post/172254834/mongodb- is-fantastic-for-logging http://github.com/ajsharp/mongo-conf Monday, February 22, 2010

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Intro To MongoDB

by Alex Sharp

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