Building Search Engines - Lucene, SolR and Elasticsearch

Mar 5, 20164 likes1,887 views

Learn how Lucene runs more than just search indexes, how to build a proper search engine, and how to decide between SolR , Elasticsearch, Amazon CloudSearch or Azure Search.

www.anant.us | solutions@anant.us | 202.905.2818
1010 Wisconsin Ave, NW | Suite 250 | Washington, DC 20007
Research & Development –
Comparing Lucene / SolR / Elastic &
Cloud Search Providers
Building Search Engines

What do we do?
Streamline, Organize & Unify
Business Information

Agenda
• Challenge - Why does this matter?
• Info Retrieval - Retrieval / Routing
• Lucene - More than meets the eye ...
• Search Engine - 30k Foot View
• On Premise - Lucene / SolR / Elastic
• Cloud Providers - Amazon / Azure

Challenge – Why does this matter?
Knowledge
Project
Information
Client Service
Information
Corporate
Guides
Collaborative
Documents
Assets
& Files
Corporate
Resources
Appleseed Framework (Portal, Base, Search)
G Drive
Delta
DropBox
G Drive
Delta
Nutshell
Dropbox
Freshbooks
G Drive
G Sites (KB)
G Drive
Workflowy
Evernote
G Drive
DropBox
OwnCloud
Pocket
Leaves
AIC (WP)
Anant (WP)

Document Retrieval
• Google Search
• Amazon Search
• LinkedIn Search
• CMS Search *
• Portal Search *
• CRM Search *
• Search *
Document Routing
• Google Alerts
• Amazon Recommendations
• Netflix Recommendations
• LinkedIn Recommendations
Information Retrieval

Lucene – More than meets the eye
Who
Next?
Think of it like a “NoSQL” Database that has great indexing..
everywhere.

Search Engine – 30 Thousand Foot View
The search index is only as good as your processed data.
If you put everything you find in your index, you are going to
spend a lot of time telling people how to search.

On Premise – Lucene / ES / SolR
Lucene
• Library
• File System
• Format
• Fast
• Embeddable*
• Indexing Anywhere
• Need to really know
Lucene
• No Interface
• No server
• Lots of house
keeping
SolR
• Server
• Admin / REST
Interface
• Configurable
• Scalable
• Great at Text*
• Truly Open
• 10+ Years
• Good ecosystem
• Too customizable
• Schemas*
• Zookeeper Needed
ElasticSearch
• Server
• Configurable
• Scalable
• Good ecosystem
• Built in Clustering
• Grouping / Filtering
• Great for Logs
• Started as a Cloud
Tool
• No great OTS
Interface
• Only REST Interface

Cloud Search – Amazon / Azure
Amazon
• SolRCloud*
• AWS* Ecosystem
• 5 QParsers
• Dynamic Fields
• 100% Completely
Managed
• Been Around for a
While
• Data / Read Writes
• No nested Objects
Azure
• ElasticSearch*
• Azure* Ecosystem
• 2 QParsers
• 100% Completely
Managed
• Good SDK
• Few Years Old
• Data / Read Writes
• No nested Objects
• Not so Dynamic Fields

Questions & Contact
www.anant.us | solutions@anant.us | 202.905.2818
1010 Wisconsin Ave, NW | Suite 250 | Washington, DC 20007
@anantcorp
facebook.com/anantCorp
linkedin.com/company/anant
rahul@anant.us
linkedin.com/in/xingh
Rahul Singh
CEO & Founder
Questions & Contact
• Modern Enterprise
• Mastering Services in the Service of Others
• Hybrid Agile Project Management
• Building Search Engines
• CICD / DevOps
• Connecting Internet Software

www.anant.us | solutions@anant.us | 202.905.2818
1010 Wisconsin Ave, NW | Suite 250 | Washington, DC 20007
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Integration / Data Pipelines
Organized Knowledge
Search / Data Warehouses
Unified Interfaces
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Breaking Down the Latest Spectrum Internet Plans.pdfInternet Bundle Now

Pink and Yellow Neon Modern Grid Playful Geometric Pattern Trivia Quiz Presen...ssuserc2b27b

APNIC Policy Update and Participation, presented at TWNIC 43rd IP Open Policy...APNIC

Bombardino-Crocodilo-Diving-into-Italian-Brainrot.pptxHarrisWelton

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Understanding the Tor Network and Exploring the Deep Webnabilajabin35

While the Tor network, Dark Web, and Deep Web can seem mysterious and daunting, they are simply parts of the internet that prioritize privacy and anonymity. Using tools like Ahmia and onionland search, users can explore these hidden spaces responsibly and securely. It’s essential to understand the technology behind these networks, as well as the risks involved, to navigate them safely. Visit https://torgol.com/

Global Networking Trends, presented at TWNIC 43rd IP Open Policy MeetingAPNIC

34 Global Mobile Commerce_ Strategies, Implementation and Case Studies (Premi...Nguyễn Minh

学费单西班牙UMH文凭米格尔·埃尔南德斯·德埃尔切大学成绩单Taqyea

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How to Switch Hosting Providers in Vancouver Without Any Downtimesteve198109

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Building Search Engines - Lucene, SolR and Elasticsearch

1. www.anant.us | [email protected] | 202.905.2818 1010 Wisconsin Ave, NW | Suite 250 | Washington, DC 20007 Research & Development – Comparing Lucene / SolR / Elastic & Cloud Search Providers Building Search Engines

2. What do we do? Streamline, Organize & Unify Business Information

3. Agenda • Challenge - Why does this matter? • Info Retrieval - Retrieval / Routing • Lucene - More than meets the eye ... • Search Engine - 30k Foot View • On Premise - Lucene / SolR / Elastic • Cloud Providers - Amazon / Azure

4. Challenge – Why does this matter? Knowledge Project Information Client Service Information Corporate Guides Collaborative Documents Assets & Files Corporate Resources Appleseed Framework (Portal, Base, Search) G Drive Delta DropBox G Drive Delta Nutshell Dropbox Freshbooks G Drive G Sites (KB) G Drive Workflowy Evernote G Drive DropBox OwnCloud Pocket Leaves AIC (WP) Anant (WP)

5. Document Retrieval • Google Search • Amazon Search • LinkedIn Search • CMS Search * • Portal Search * • CRM Search * • Search * Document Routing • Google Alerts • Amazon Recommendations • Netflix Recommendations • LinkedIn Recommendations Information Retrieval

6. Lucene – Inverted Index

7. Lucene – More than meets the eye Who Next? Think of it like a “NoSQL” Database that has great indexing.. everywhere.

8. Search Engine – 30 Thousand Foot View The search index is only as good as your processed data. If you put everything you find in your index, you are going to spend a lot of time telling people how to search.

9. On Premise – Lucene / ES / SolR Lucene • Library • File System • Format • Fast • Embeddable* • Indexing Anywhere • Need to really know Lucene • No Interface • No server • Lots of house keeping SolR • Server • Admin / REST Interface • Configurable • Scalable • Great at Text* • Truly Open • 10+ Years • Good ecosystem • Too customizable • Schemas* • Zookeeper Needed ElasticSearch • Server • Configurable • Scalable • Good ecosystem • Built in Clustering • Grouping / Filtering • Great for Logs • Started as a Cloud Tool • No great OTS Interface • Only REST Interface

10. Cloud Search – Amazon / Azure Amazon • SolRCloud* • AWS* Ecosystem • 5 QParsers • Dynamic Fields • 100% Completely Managed • Been Around for a While • Data / Read Writes • No nested Objects Azure • ElasticSearch* • Azure* Ecosystem • 2 QParsers • 100% Completely Managed • Good SDK • Few Years Old • Data / Read Writes • No nested Objects • Not so Dynamic Fields

11. Questions & Contact www.anant.us | [email protected] | 202.905.2818 1010 Wisconsin Ave, NW | Suite 250 | Washington, DC 20007 @anantcorp facebook.com/anantCorp linkedin.com/company/anant [email protected] linkedin.com/in/xingh Rahul Singh CEO & Founder Questions & Contact • Modern Enterprise • Mastering Services in the Service of Others • Hybrid Agile Project Management • Building Search Engines • CICD / DevOps • Connecting Internet Software

12. www.anant.us | [email protected] | 202.905.2818 1010 Wisconsin Ave, NW | Suite 250 | Washington, DC 20007 Streamlined Data Integration / Data Pipelines Organized Knowledge Search / Data Warehouses Unified Interfaces Portals / Dashboards / Mobile

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