meetup - using cloudsearch with dynamodb

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Amazon CloudSearch Meetup San Francisco

March 28, 2013


Welcome !   Housekeeping

!   Slides will be posted !   Upcoming Events

•  April 3, 2013. Webinar 10:00am – 11:00am. "Building Location-Based Search" https://www2.gotomeeting.com/register/264455602

•  April 30, 2013. AWS Summit, San Francisco. http://aws.amazon.com/aws-summit-2013/san-francisco/


Agenda 6:30-7:30 Networking (over Pizza/Beer/Drinks)

7:00-7:30 Using CloudSearch with DynamoDB – Jon Handler, Amazon CloudSearch Solution Architect

7:30-8:00 EDU 2.0 User Talk - Graham Glass, Founder

8:00-8:30 Getting More from Your Search Queries: How to Tune Search Requests – Tom Hill, Amazon CloudSearch Solution Architect

8:30-8:45 SnapGuide User Talk - Sam Kimbrel, Senior Software Engineer


Using CloudSearch with DynamoDB

Jon Handler, Amazon CloudSearch Solution Architect


Do You Want Search With That?

!   Amazon Dynamo DB •  High throughput, provisioned latency •  NoSQL model

!   Amazon CloudSearch •  Rich query API – free text, fielded, faceting and more •  User-customizable ranking


Amazon CloudSearch Overview DNS / Load Balancing AWS Query

Search API Console Config API

Command Line Tools

Console Doc Svc API

Command Line Tools

Console

SEARCH SERVICE DOCUMENT SERVICE CONFIG SERVICE

Search Domain


Automatic Scaling

SEARCH INSTANCE Index Partition n

Copy 1

SEARCH INSTANCE Index Partition 2

Copy 2

SEARCH INSTANCE Index Partition n

Copy 2


Copy n

SEARCH INSTANCE

DATA Document Quantity and Size

TRAFFIC Search Request Volume and Complexity

Index Partition n Copy n


Copy 1


Copy 1


Copy 2


Copy n


The Big Picture


Working With DynamoDB and CloudSearch

!   Create an Amazon CloudSearch domain !   Upload data from DynamoDB to CloudSearch !   Configure: item attributes map to index fields !   Keep CloudSearch and DynamoDB in sync


Create An Amazon CloudSearch Domain


Text fields for matching user terms

Result enabled to retrieve source data


Literal fields for Faceting

Facet enabled to retrieve facet counts Search enabled for

narrowing


Integer fields for ranking, narrowing


Configure the Domain


Amazon Dynamo DB Data Primary Key Attributes

id = "tt0076759" title = "Star Wars", director = "Lucas, George", genre = {"Action","Adventure","Fantasy","Sci-Fi"}, actor = {"Ford, Harrison","Fisher, Carrie","Hamill, Mark”, "Jones, James Earl","Guinness, Alec","Johnston, Joe", "Mayhew, Peter","Cushing, Peter","Prowse, David","Daniels, Anthony”} year=1977

id = "tt1411664" title = "Born to Be a Star", director = "Brady, Tom", genre = {"Comedy"}, actor = {"Ricci, Christina","Swardson, Nick","Dorff, Stephen”, "Johnson, Don","Bain, Robin","Herrmann, Edward","Goodman, Dana”, "Giangrande, Meredith","Dawn, Nadia","Locke, Tembi","Herschman, Adam"} year=2011


CloudSearch SDF [{"type":"add", ! "id": "tt0076759",! "version": 1,! "lang": "en", ! "fields": {! "title":"Star Wars",! "director":"Lucas, George",! "genre": ["Action","Adventure","Fantasy","Sci-Fi"], ! "actor": ["Ford, Harrison","Fisher, Carrie",! "Hamill, Mark","Jones, James Earl",! "Guinness, Alec”, ...],! "year": 1977!} }, ...]!


Uploading

!   CloudSearch's batch update strategy !   Table scan one row is one document !   Batch multiple rows together and send

!   Alternate strategy using Hive/S3/CLTs


Sending to CloudSearch: Main Loop def _dynamo_to_cloudsearch(table, domain):! doc_service = domain.get_document_service()! for table_item in table.scan():! docid = table_item['docid']! version = _cur_timestamp()! doc_service.add(docid, version,! _get_fields(table_item))! if len(doc_service.get_sdf()) >= FOUR_MEGABYTES: ! resp = doc_service.commit()!


Sending To CloudSearch: Fields

def _get_fields(table_item):! '''Return a dict with key:value for all! of the fields in the table'''! attrs = {} ! for key,value in table_item.iteritems(): ! attrs[key] = ! [item for item in value]! return attrs !!


Limits

!   ID sizing •  Dynamo: primary key 2K, range key 1K •  CloudSearch: document id 128 bytes

!   Items •  Dynamo: unlimited attributes, up to 64K of data •  CloudSearch: unlimited data, up to 200 fields and 100 field

values •  Attribute/field naming conventions

! Numerics


Keeping CloudSearch Up-To-Date


Conclusion

!   Combine Amazon CloudSearch and Amazon DynamoDB •  DynamoDB – throughput, durability •  CloudSearch – Rich, powerful search

!   Just a few lines of code


Resources !   Amazon CloudSearch Overview Page

http://aws.amazon.com/cloudsearch/ •  FAQs •  Community Forum •  Documentation & Getting Started Tutorial (IMDb)

!   Demos and Tutorials •  What Is Amazon CloudSearch •  Introducing Amazon CloudSearch (Features) •  Building a Search Application Using Amazon CloudSearch


Q&A


We're Hiring!


Thank You

Jon Handler / [email protected]

meetup - using cloudsearch with dynamodb

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