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With Google constantly pushing the customer expectations of searching, is it time to move away from our database full-text search in pursuit of a more targeted platform? Can implementing Solr offer more than an answer to a search? Implementing a search platform isn’t always suitable for all applications, but in this talk we’ll look at identifying the right search solution, choosing the best way to integrate it into our application and exploring all the benefits a search server can offer.
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Searching with SolrWhen, Why and How?By Paul Matthews
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86p
@paulmatthews86
86p.paul-matthews.co.uk
[email protected] techportal.ibuildings.com Projects:
Travel companies Media corporations
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Searching…
What?
When?
Why?
How?
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Searching…
What?
When?
Why?
How?
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What is search?
Text navigation
Customers describing
Sorting
Examples Quick search Category listings
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The power of search
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Database Like
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Database Like
Very little effort
A very basic search
Poor at: > 1 word
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Database Full-Text
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Database Full-Text
Some power
Convenient
Feature poor
Often very slow
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Basic Search Systems
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Basic Search Systems
Rapid search
Simple to setup
Feature poor
Accuracy
Require more application code
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Solr Search
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Solr Search
Very powerful
Feature rich
Relatively simple
Lots of plugins (community)
Overkill?
Java
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Things you need to know
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Searching…
What?
When?
Why?
How?
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Applicable to me?
Who is Solr designed for? Traffic Features
When is a good time to implement it? Creation Post-live Open Source projects
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Business indicators
Money / Time / Effort spent Bugs Tuning Features
Customers
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Development indicators
Data
MySQL Full Text
Degradation
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Searching…
What?
When?
Why?
How?
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Is Solr right for me?
Know your enemy
With great functionality comes great responsibility
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Data sources
Database Easy
API Features
CSV & XML
Solr Cell - Rich Documents PDF MS Office
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Indexing
Parsing
Half now, half later
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Analyzer
Process documents
The query gets analyzed too
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Tokenizer
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TokenizerFilter
Synonym
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Stemming
Matching similar words
Reduce to Stem
SearchingSearchSearchesSearchedSearchers
Search
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Hit Highlighting
“Hit” ==> “This is a <em>Hit</em> test.”
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Spell Check
Spelchk Did you mean …?
“flickr”
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By the power of Queries!
Phrase “Search for a phrase”
Wildcards Look*familiar?
Fuzzy fuzzy~
Proximity “two words”~12
Range name:{Paul TO Jeff}
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name:paul AND location:uk
A single field
Multiple Fields
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Faceting (21)
Pre-fetching (11)
Results (37)
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Ranked Search
Ordered
Any field
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Simultaneous update & search
Hold on a minute!
Actually, I don’t have to…
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Searching…
What?
When?
Why?
How?
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Flow
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Container
Choose container
Make accessible
http://<host>:<port>/solr/admin
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Solr Config
Cores ~ Database Schema
schema.xml ~ Schema definition
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Fields
Define the data indexed Stored
Important to model accurately
Tweak to achieve functionality
Conscious of space and index
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Index
Create documents to Schema Spec
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Search
Quick Search
Default Search
Advanced Search
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Quick Search
Partial words
Search all fields?
Required response data
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Default Search
Consider useful Analyzers
Potentially match on more fields
Enrich or refine results with personal data
More in depth results
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Advanced Search
Offer user control
Consider search storage Data size vs Additional queries
To return more / less results “Search entire document” “Filter by Colour”
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Searching…
What?
When?
Why?
How?
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Questions?
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We’re Hiring
NL Vlissingen Utrecht
UK London Sheffield Liverpool
Speak to me at the end… [email protected]
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Thank you
Resources Links: http://www.delicious.com/paulm86/solr
This talk: http://joind.in/3221
Contact Me: @paulmatthews86 http://about.me/paul.matthews
