The document discusses using a NoSQL database like Elasticsearch to serve over 1 million product entities from a Drupal website. It describes a real-world case where a product information management (PIM) database was integrated with Drupal via Elasticsearch to allow for daily updates, outstanding performance during imports, and a flexible schema. The solution indexed the PIM entities in Elasticsearch, which Drupal then used as a secondary database via the External Entities module. This provided benefits like mixing PIM and Drupal data, technical SEO, and no performance degradation during imports or updates. Challenges discussed included cache invalidation and multilingual support.

2. Drupal loves NoSQL databases or how to serve
1 million entities out of a Drupal website

3. Boyan Borisov - CTO France at FFW
About us
Engin Yilmaz - Solutions Architect at FFW
@boyan.borisov
@boyanborisov
@eyilmaz
@enyilmaz

4. FULL TIME
EMPLOYEES
400+ 20
YEARS
EXPERIENCE
23
OFFICES
WORLDWIDE
ACQUIA
CERTIFIED
SPECIALISTS
120+ 500+
CLIENTS
SERVED
1500+
SOLUTIONS
DELIVERED
ffwagency.com
About FFW
350+
SUPPORTED
DRUPAL
PROJECTS

5. “ “
Boyan Borisov
Day without a Drupal contribution
is a wasted day.

6. Agenda for today
How it works?
Challanges
Q&A
Why Drupal needs
NoSQL?
Real live
use case
The solution
without NoSQL
Conclusion
The solution
with NoSQL

7. Why Drupal needs NoSQL?

8. ● Huge Product information
management (PIM) database
● Daily updates
● Outstanding performance
● No performance degradation during
import
● 24/7 available platform
● “Easily” to add update the product
database schema
● Able to mix the PIM and Drupal data
● Superb technical SEO
Real live use case
PIM

9. PIM
Drupal migrate module
The solution without NoSQL

10. PIM
1.
PIM indexes the product
entities in ElasticSearch
2.
Drupal uses ElasticSearch as
an secondary NoSQL database
The solution with NoSQL

11. PIM
1.
PIM indexes the product
entities in ElasticSearch
2.
Drupal uses ElasticSearch as
an secondary NoSQL database
via External Entities module
How it works?

12. ● ElasticSearch is fast!
● Outstanding search engine
● Easy extendable schema
● Data transformation capabilities
● The majority of PIM systems has out
of the box integration
Why Elasticsearch as a NoSQL ”database”?

13. Challanges
PIM
Cache invalidation
queue
1.
Cache invalidation
2.
Multilingual
3.
Elasticsearch limit

14. Conclusion

15. Questions?

16. Join us for
contribution opportunities
Friday, December 11, 2020
Mentored
Contribution
First Time
Contributor Workshop
General
Contribution
#DrupalContributions

17. What did you think?
Locate this session at the DrupalCon Europe website:
https://events.drupal.org/europe2020/preliminary-program/