Atlas Search combines the power of Apache Lucene - the technology behind the world’s most popular search engines - with the developer productivity, scale, and resilience of MongoDB Atlas to make it easier than ever to integrate fast, relevance-based search capabilities into all of your MongoDB applications. Watch the Getting Started with MongoDB Atlas Search webinar where, with a few clicks and keystrokes, we unravel the mystery behind the search bar. The session searches through different data types, including text, numbers, dates, and geoJSON while exploring a variety of search capabilities.

1. To find it fast, look no further!
Atlas Search
Karen Huaulmé
Principal Developer Advocate
@youoldmaid
DECEMBER 15, 2021

2. Why Search?
What is Full-Text Search
Why Search is Hard
How MongoDB Atlas
Makes Search
FAST and Easy
AGENDA
How to Search Data
Atlas Search Features
Compose Queries
Indexes & Analyzers
Inverted Index
Static & Dynamic
Mapping
Types of Analyzers
Architecture &
Performance
What to Consider
Tips and Tricks
to Optimze
How to Weaponize

3. DEMOS!!!

4. DEMOS!!!

5. DEMOS!!!

6. Why Atlas
Search?
SEARCH IS A REQUIREMENT FOR MOST APPLICATIONS

7. SYNC

8. Create
Atlas
Cluster
Database
Collections
Create
Search Index
Query via
$search
How Do I Search Data in Atlas?

9. Supported Data Types
Text
Numerical
Date
Objects
GeoJSON
Autocomplete
ObjectID
Boolean
Timestamp
Array

10. Query via
$search
How Do I Search Data in Atlas?

11. AGGREGATION
Input Stage 1 Stage 2 Results
{ } { } { } { }
{ } { } { } { }
{ } { } { } { }
{ } { } { } { }
{ } { } { } { }
{ } { } { } { }
{ }
{ } { } { } { }
{ } { } { }
{ } { } { } { }
$search

12. Let’s Build
Basic Search
Query
Compass

13. Netflix Clone

14. Netflix Clone Architecture
Realm Atlas
Client
JavaScript
HTML
sample_mflix.
movies
collection
Atlas Search
Default
Index
HTTPS
Endpoints
Autocomplete
Index
Functions
Back End
Front End

15. {
$search:
"index": <index name>,
"text": {
query: "<search-string>”,
path: "<field-to-search>”,
fuzzy: <options>
}
}
}
Basic Atlas
Search Query
$search

16. {
$search:
"index": <index name>,
"compound": {
<
must | mustNot |
should | filter
>
}
}
Search Query
$search
Compound Operator Score Modifiers

17. {
$search:
"index": <index name>,
"autocomplete": {
query: "<search-string>”,
path: "<field-to-search>”,
fuzzy: <options>
}
}
Autocomplete
Search Query
$search

18. Architecture
& Performance
Considerations

19. Atlas Search Components
Mongos
Mongod
● $search
aggregation
pipeline stage
● Speaks
mongodb wire
protocol to
mongot
● Shard aware
implementation
● Scatter-gather
queries
Mongot
● Based on Apache
8 Lucene
● Integrated with
MongoDB Atlas
● Separate java
process from
mongod
● Co-located with
mongod

20. Indexes
& Analyzers

21. It was the best of times, it was
the worst of times.
A Tale of Two Cities
Charles Dickens
best, worst, times
X
X
X X
X
lucene.standard

22. {
“best” : [ 2, 3]
},
{
“worst” : [1, 3]
},
{
“times” : [1]
},
STANDARD
INDEX
INVERTED
INDEX
An index which points to another
existing set of indexes
Inverted. Indexes. Are. FAST!!
{
“_id” : 1,
“sentence”: “10 worst times to
be alive in history.”
},
{
“_id” : 2,
“sentence”: “Party with the best
of them.”
},
{
“_id” : 3,
“sentence”: “Best and worst NFL
teams on record.”
}

23. Atlas Search
Types of Analyzers
Standard
Simple
Keyword
Whitespace
Various
Languages (40+)
Custom

24. It was the best of times, it was
the worst of times.
A Tale of Two Cities
Charles Dickens
It, was, the, best, of, times, it, worst
lucene.whitespace

25. It was the best of times, it was
the worst of times.
A Tale of Two Cities
Charles Dickens
It was the best of times, it was the worst of times.
lucene.keyword

26. Atlas Search
Indexes & Analyzers QUERIES
INDEXES
ANALYZERS
DATA

27. Query Lifecycles
Client
Mongod Mongot
db.col.aggregate([
{$search: {
search: {
path: “name”,
query: “star wars”
}
}}])
[ { _id: “123”,score:
1.23,highlights: […] },
{…}]
Wire
Protocol
(over
internet to
MongoDB
Atlas)
Wire
Protocol
(localhost)
aggregate([
{$search: {...}}]
Lookup([{_id:
“123”], {…}])
{$search: {
path: “name”,
query: “star
wars”
}}
Lucene
booleanQuery:
(...)
{ “name” :
{ “some” : [123,124],
“values” : [123,125,…]
}}
[ { _id: “123”,
title: “Star Wars”},
{…}]

28. www.atlassearchrestaurants.com

29. Atlas Search
Features
Fuzzy Search
Autocomplete
Highlighting
Support for Multiple Data Types
Relevance Based Scoring
Custom Score Modifiers
Function Scoring
Filters and Facets
Synonyms

30. Included
in Atlas
Built with
Reliability
Scales
with
Cluster
Data
Consistency
Automatic
Updates
Easy & Fast:
Query API,
Aggregation
Atlas
Search
Highly
Customizable

31. Atlas Search
Learning Resources
● https://docs.atlas.mongodb.com/atlas-search
● https://developer.mongodb.com
● GitHub Repo: https://bit.ly/SearchWhatsCooking
● www.atlassearchrestaurants.com
● Netflix Clone: https://bit.ly/SearchLiveFinished
● Video Workshop: https://bit.ly/MDB_SearchWorkshop

32. Thank you for
your time.