Why on-site Search matters. Issues in implementation of Search in M1. New architecture of on-site Search in Magento 2. Extensibility and customization of Search. Search accuracy improvements. How-To implement a Search adapter for Magento. Search API. The right way to write a Search Extension.

2. The new way of searching
in Magento 2

3. Igor Miniailo
Architect, Magento 2
@iminyaylo at Twitter
iminiailo@magento.com

4. E-commerce Search
Why on-site Search matters

5. Why on-site Search matters
• Searching has become the predominant method for users to find
products on websites.
• The Search feature on website is immensely important as those
searching have a better idea of what they want, compared to those
who are browsing using the site links and navigation.
Searchers are almost twice as likely to convert than
non-searchers in a given visit.

6. 200+ M1 Search extensions on Magento Connect

7. M1 Search problems
Like, Full Text,
Combined -
confusing for
merchants.
Limited ability
for extension
and
customization
High degrees
of code
coupling
Weighting
attributes only
available in EE
Like, Combined
are SLOW
Low Search
Accuracy

8. M1 Search problems
FullText Search
doesn’t support
partial phrase
matching
MyISAM FullText
by default ignores
words under 4
characters
There is no
SOLR 4.*
support for EE
version
MyISAM
FullText has a
list of ignored
words
Others

9. Community Feedback
https://github.com/magento/magento2/issues/622

10. Community Feedback
https://github.com/magento/magento2/issues/622

11. E-commerce Search
Deep Dive

12. The 12 Query Types
Identified during large-scale usability study of e-commerce search made by Baymard Institute

13. 5 essential query types
1. Exact
2. Product Type
3. Feature
4. Thematic
5. Relational Searches.
Users can get by with basic e-commerce search when these 5 query
types are supported. Conversely, failing to support any of these core
query types will result in a defective search experience.

14. New way of Searching
Declarative Search

15. Declarative search. Request parts
1
Filters
2
Queries
3
Aggregation
1. Exact matching
2. Binary yes/no searches
1. Full text searches
2. Relevance sorting
1. Faceted Search

16. Declarative Search. Queries
appcodeMagentoCatalogSearchetcsearch_request.xml

17. Declarative Search. Filters
appcodeMagentoCatalogSearchetcsearch_request.xml

18. Declarative Search. Aggregations
appcodeMagentoCatalogSearchetcsearch_request.xml

19. Search Service Contract

20. Basic workflow

21. Simple Example
1. User inputs search request into the quick search form. For
example: “gold iPhone“
2. Search request comes to back-end and Magento fulfill
MagentoSearchApiSearchInterfaces::search(SearchCriteri
aInterface $searchCriteria)
3. Implementation reads declaration for current search request (Quick
Search) .
4. Add Searchable attributes including custom attributes.
Add Filter queries for visibility, price, category, color
Aggregations for: price, color, category

22. Simple Example
5. Bind user's data:
“gold iPhone" ->
<query xsi:type="matchQuery" value="$search_term$" name="search">
"visibility" -> Search (2) and Category and Search (4)
6. Clean unused queries and filters:
price, category, color (filter)
7. Build final request
8. Search engine handles request and gets results

23. Simple Example. Result

24. Library vs Adapter
Adapters are
supposed to be
a set of
factories which
build generic
search entities
handled in
client’s code

25. The right way to write own Search Extensions
SmartSearch - https://github.com/Sebwite/Magento2-SmartSearch

26. SmartSearch API usage

27. Performance
* Don’t consider values. Important just a trend

28. Magento meets Elasticsearch
1.7.* and 2.* versions supported

29. Q & A
@iminyaylo at Twitter
iminiailo@magento.com