Tlantic @ ElasticSearch POA Meetup

Elasticsearch for retail
You know, for search!

@vinnylinck # Chief Mobile Architect

... the agenda is about:
how
uses
to build
TLANTIC
elasticsearch
TLANTIC

7
ERP
WMS
POS
DW
IN-STORE
LOGISTICS
MANAGEMENTCUSTOMER
SALES
MOBILE RETAIL SUITE™
A PROVEN SOLUTION

http:// aboutTheRetailers .com:9200/
{
ok: true,
status: 200,
name: "RetailersWorld",
facts: {
data_amount: "millions of records",
availability: "high",
search_scenario: “not sure how to find things",
common_approach: “fulltext",
does_fulltext_works: false
},
tagline: “Retail is about people…"
}

SELECT *
FROM myawesomesoftware
WHERE ‘text’ LIKE
‘%stuff%’

Tlantic @ ElasticSearch POA Meetup

SELECT *
FROM mysearchtable
WHERE MATCH(text)
AGAINST (‘stuff’)

SELECT *
FROM mysearchtable
WHERE MATCH(text)
AGAINST (‘+stuff –”stuffler”’
IN BOOLEAN MODE)

SELECT * FROM jobs
WHERE role = ‘DEVELOPER’
AND MATCH(job_description)
AGAINST (‘javascript’)

SELECT * FROM jobs J
JOIN jobs_benefits jb ON j.id =
jb.job_id
WHERE j.role = ‘DEVELOPER’
AND (MATCH(job_description)
AGAINST (‘javascript -asp’) IN
BOOLEAN MODE)
AND jb.free_coffee = TRUE

THIS IS NOT A SEARCH
SYSTEM!
You will need one...

There is a “software” for that:

There is a software SOLUTION for that:

elasticsearch is a real search engine
• Efficient indexing of data
• All fields / combination
• Analyzing data:
• Text Search: tokenizing, stemming, filtering
• Understanding locations
• Date parsing
• Relevance scoring

• Not just split(‘ ‘, $text)
• Understand patterns: URLs, e-mail, currencies, hashtags, twitter
@mentions.
• Analyze conjugations and plurals:
• Fishing, Fished, Fish, Fisher > Fish
• Better > Good
• Filters stop words: not every character is meaningful when indexing a
HTML code or web contents.
• Distance searches: geo polygons, bounding box searches, searching
nearby...
• Relevance: think of Google PageRank
• Mappings generated on the fly

Retailers want more!
And we are using ElasticSearch for that.

With elasticsearch...
• We found performance: 1M records on 40s (bulk insert)
• The app users will be able to find a product regarding the nearest store.
• We can scale easily, handling BIG DATA scenarios with safety.
• We found a stable nosql search system and a powerful JSON API.
• Customers can find the information even when they don’t know how to
write that properly... In miliseconds!
• We found the cloud: (bonsai.io)
• It fits like a glove on mobile solutions.
• We found integration with out existing systems...

elasticsearch will be part of our next product
generation...

http:// tlantic .com/thank_you
{
ok: true,
status: 200,
name: “Vinicius Linck",
e_mail:“viniciusl@Tlantic.com”,
e_mail_2: “vinnylinck@gmail.com”,
twitter: “@vinnylinck",
}

Tlantic @ ElasticSearch POA Meetup

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