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Developing with Couchbase Part I:

Getting StartedMatt Ingenthron

Director, Developer Solutions

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GETTING STARTED:DEVELOPMENT ENVIRONMENT

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Development Environment: Development DB

• Downloads at couchbase.com/download

• Provision via wizard in Web Console– Or provision via REST interface: operations folks to automate provisioning

(i.e Chef, puppet, Rightscale rightscript)

• Linux: Ubuntu and Red Hat/CentOS– Packages for most common

distributions.• dpkg -i , rpm -i, etc.

• Mac– Download a .zip, open, drag to

Applications,

• Windows– Download a setup.exe, double click

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Development Environment: Obtaining a Client

• High performance, official client libraries for Java, .NET, PHP, Ruby, C

• Head to couchbase.com/develop for SDKs where you will find– Client libraries– Screencasts on Getting Started– Getting started guides– Tutorial with a sample application– A complete API reference

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Client Setup: Getting Cluster Configuration

Couchbase Server Node

Couchbase Client

http://myserver:8091/pools

{…    "bucketCapabilities": [        "touch",         "sync",         "couchapi"    ],     "bucketCapabilitiesVer": "sync-1.0",     "bucketType": "membase",    "name": "default",     "nodeLocator": "vbucket",     "nodes": [….

Cluster Configuration over REST

Couchbase Server Node

Couchbase Server Node

Couchbase Server Node

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Client at Runtime: Adding a node

Couchbase Client

Couchbase Server

Node

Couchbase Server

Node

Couchbase Server

Node

Couchbase Server

Node

Couchbase Server

Node

Cluster TopologyUpdate

New node coming online

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Client Set up at a Code Level

// Set up at least two URIs in case one server failsURI oneserver = new URI("http://10.1.6.171:8091/pools/");URI twoserver = new URI("http://10.1.6.172:8091/pools/");List<URI> servers = new ArrayList<URI>();servers.add(oneserver);servers.add(twoserver);

// Now create a client talking to the default bucketCouchbaseClient cbc = new CouchbaseClient(servers, "default", "");

System.err.println(cbc.get("MattIngenthron") + " is off developing with Couchbase!");

Use the Java client with your favorite JSON library: Jettison, Google GSON, etc.

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Operations Available to a Client of Couchbase Server

• Store Operations– Add: Store the document if it does not yet exist– Set: Store the document, overwriting existing if necessary

• Retrieve Operations– Get: Fetch the document– Get and touch: Fetch the document and update the TTL– Multiget: Fetch multiple documents at the same time

• Update operations– Append/prepend: Add data in front of or on the end of a document– Delete: Remove the document from the store– Compare and Swap (CAS): Replace the current document, if CAS matches– Replace: Replace the document if it exists, otherwise do not– Touch: Update the TTL for a document

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Common Questions with Metadata

Document Metadata:• TTL• CAS value• Flags

Q: What happens to a document persisted after it’s TTL?

A: A regular background job will remove expired documents.

Q: How do I use flags?

A: Frequently used to identify data type or other attributes, such as compression. Behavior varies from client to client.

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Distributed System Design: Concurrency Controls

• Compare and Swap Operations– Often referred to as “CAS”– Optimistic concurrency control– Available with many mutation

operations, depending on client.

• Get with Lock– Often referred to as “GETL”– Pessimistic concurrency control– Locks have a short TTL– Locks released with CAS

operations– Useful when working with object

graphs

Actor 1 Actor 2

Couchbase Server

CAS mismatchSuccess

A

B

F

C D

E

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INTRODUCING DOCUMENTS

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A JSON Document

{ "_id": "beer_Hoptimus_Prime", "abv": 10.0, "brewery": "Legacy Brewing Co.", "category": "North American Ale", "name": "Hoptimus Prime", "style": "Imperial or Double India Pale Ale", "updated": [2010, 7, 22, 20, 0, 20], "available": true}

The primary key

A float

Date time as array

A Boolean

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Other Documents and Document Relationships

{ "_id": "beer_Hoptimus_Prime", "abv": 10.0, "brewery": "Legacy Brewing Co.", "category": "North American Ale", "name": "Hoptimus Prime", "style": “Double India Pale Ale", "updated": [2010, 7, 22, 20, 0, 20], "available": true }

{ "_id": "Legacy Brewing Co.", "address": "525 Canal Street Reading, Pennsylvania, 19601 United States", "updated": "2010-07-22 20:00:20", "latitude": -75.928469, "longitude": 40.325725}

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Adding (a document) to the Bucket of Beers

• Simply create the document, then add

<?php

Include "Couchbase.php";

$cb = new Couchbase;$cb->addCouchbaseServer("http://localhost:8091");// defaults to the “default” bucket

// a very simple brew$mybrew = new stdObj;$mybrew->brewery = "The Kitchen";

$cb->set("beer_My_Brew", json_encode($mybrew));

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Simplicity of Document Oriented Datastore

• Schema is optional– Technically, each document has an implicit schema– Extend the schema at any time!

• Need a new field? Add it. Define a default for similar objects which may not have this field yet.

• Data is self-contained– Documents more naturally support the world around you, the

data structures around you

• Model data for your App/Code instead for the Database

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Adding a Document: Observations and Considerations

• Observations– Conversion to document was very simple, many JSON options– Flexible schema: Did not need to add the latitude and longitude of my

kitchen– Flexible schema: Can add the brewery detail later

• Considerations– Why use a particular key/_id : "beer_My_Brew”– Should I have a TTL?

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Common Questions when Adopting Couchbase

Q: What if I need to fetch referenced documents?A: Simply get them one after another. It’s very fast owing to our cache and storage model.

Q: How can I update just a small portion of a document?A: The best approach is to keep the document model live in your application, then use CAS operations to store modified documents. The Ruby sample application has a good example.

Q: I currently use serialized objects with memcached or Membase, can I do this still with Couchbase Server?A: Absolutely! Everything previously supported and used is still there. JSON offers advantages with heterogenenous platform support and preparing for Couchbase 2.0 views.

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COUCHBASE SERVER 2.0 COMPATIBLE LIBRARY FEATURES

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Couchbase Server 2.0: Views

• Views can spread a few different uses– Simple secondary indexes (the most common)– Aggregation functions

• Example: count the number of North American Ales

– Organizing related data

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Q&A

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OTHER EXAMPLE DOCUMENTS

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Storing a Message Document

Document:{ "from": "user_512", "to": "user_768", "text": "Hey, that Beer you recommended is pretty fab, thx!" "sent_timestamp": 1326476560}

<?php// store it$cb = new Couchbase;$cb->addCouchbaseServer("localhost");$cb->set("message_1024", $message);

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User Profile Document

{ "user_id": 512, "name": "Beer Likington", "email": "beer.like@gmail.com", "sign_up_timestamp": 1224612317, "last_login_timestamp": 1245613101}

{ "user_id": 768, "name": "Simon Neal", "email": "sneal@gmail.com", "sign_up_timestamp": 1225554317, "last_login_timestamp": 1234166701, "country": "Scotland", "pro_account" true, "friends": [512, 666, 742, 1111]}

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Game Score Document

{ "game_id": 12415115, "scores": { "user_a": { "user_id": 512, "score_a": 1, "score_b": 57, "score_c": 24 }, "user_b": { "user_id": 768, "score_a": 3, "score_b": 67, "score_c": 15 } }, "score_timestamp": 1348560842}

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Photo Metadata Document

{ "photo_id": "ccbcdeadbeefacee", "size": { "w": 500, "h": 320, "unit", "px" }, "exposure: "1/1082", "aperture": "f/2.4", "flash": false, "camera": { "name": "iPhone 4S", "manufacturer": "Apple", } "user_id": 512, "timestamp": [2011, 12, 13, 16, 31, 07]}