3.5 webinar

+ +
Copyright © ArangoDB Inc., 2019 - Conﬁdential
3.5
@joerg_schad

Jörg Schad, PhD
● Previous
○ Suki.ai
○ Mesosphere
○ PhD Distributed
DB Systems
● @joerg_schad
@joerg_schad

ArangoSearch
ArangoDB
4
GraphsDocuments - JSON
{
"type": "pants",
"waist": 32,
"length": 34,
"color": "blue",
"material": "cotton"
}
{
"type": "television",
"diagonal size": 46,
"hdmi inputs": 3,
"wall mountable": true,
"built-in tuner": true,
"dynamic contrast": "50,000:1",
"Resolution": "1920x1080"
}
Key Values
K => V
K => V
K => V
K => V
K => V
K => V
K => V
K => V
K => V
K => V
K => V
K => V
One Engine. One Query Language.
Multiple Data Models.

Managed Cloud Service
5
Fully managed ArangoDB Cloud
‣ Runs Enterprise Edition including
all features
‣ Supports all major cloud
providers & regions
‣ Choose any instance you like
‣ Usage based pricing

That’s new in v3.5

B n
M n
B 1
M 1
B n-1M n-1
B nM nB 1
M 1
M 2
B 2
B 1
M 1 B nM n
B 2
M 2
DB Server 2
Distributed Joins
7
DB Server 1 DB Server n
Coordinator
Foxx
Coordinator
Foxx

Cost
8
https://people.eecs.berkeley.edu/~rcs/research/interactive_latency.html

Co-locate:
9

B n
M n
B 1
M 1
B n-1M n-1
B nM nB 1
M 1
M 2
B 2
B 1
M 1 B nM n
B 2
M 2
DB Server 2
Smart Joins
10
DB Server 1 DB Server n
Coordinator
Foxx
Coordinator
Foxx

ArangoSearch - new features
11
Sorted Inverted Indexes (SortedViews)
▸ Pre-processed, multi-attribute sorting
within ArangoSearch views. Query
execution performance improvement of
of to 2000%
Conﬁgurable Analyzers
▸ Case-sensitive search, custom stopword
lists & enhanced stemming
Scores in AQL
▸ Use similarity scores in AQL Queries

Roadmap ArangoSearch
12
FuzzySearch
▸ Allowing likeliness searches
Autocomplete
▸ Suggest search terms while user is
typing
Facetted Search
▸ Classiﬁcation based multi-ﬁlter searches
Multi-Attribute Queries
▸ Allowing broad semantic query capabilities

New Graph Capabilities
13
k-shortest path
▸ Allows users to ﬁnd all shortest path between to nodes in a graph and sort the result
set according to either length or weight. Especially important for Navigation Systems
or Cybersecurity use cases (Find the best route from A to B by e.g. traﬃc, length,
duration, etc)
PRUNE
▸ Traversing all “branches” within a graph can be expensive. PRUNE allows to apply
FILTER conditions directly at runtime and minimize data lookups necessary and
thereby maximize traversal performance.

Hot Backups (3.5.1)
14
Create super fast, consistent snapshot backups
▸ Hot Backups allow snapshots in any interval (per minute, hour, day, …)
▸ No noticeable service impact
▸ Jump back to any stored state of your database

Data Masking
15
▸ Use obfuscated production data for better test results in testing & development.
Preserve the data structure to simulate the real world.
"name" : "nsDqD93iWFQ="
"cardnumber" : "2014003182153159"
"birthday" : "2018-08-17"
"name" : "Jane Doe"
"cardnumber" : "2010034121851593"
"birthday" : "2017-01-01"

TTL
16
Time-to-Live Index (TTL)
▸ Set an index to automatically delete records at a certain point in time or after
speciﬁed duration. Simpliﬁes data maintenance and meeting privacy regulations
like GDPR or CCPA

Demo

Next Steps
18
▸ Test it yourself: https://www.arangodb.com
▸ Release Blog Post: https://www.arangodb.com/2019/08/multi-model-database-arangodb-3-5-released-distributed-joins-streaming-transactions-extended-graphdb-search-capabilities/
▸ Tutorial Videos: https://www.arangodb.com/arangodb-3-5/

Next Features
19
https://www.arangodb.com/arangodb-events/arangodb-3-6-the-future-is-full-of-features/

3.5 webinar

More Related Content

Similar to 3.5 webinar

More from ArangoDB Database

Recently uploaded

3.5 webinar