This talk explores the new features of MongoDB 3.2 such as $lookup, document validation rules, encryption-at-rest and tools like the BI Connector, OpsManager 2.0 and Compass.

1. MongoDB 3.2
Goodness
MarkHelmstetter
mark.helmstetter@mongodb.com

2. MongoDB 3.2 – a BIG Release
Hash-Based Sharding
Roles
Kerberos
On-Prem Monitoring
2.2 2.4 2.6 3.0 3.2
Agg. Framework
Location-Aware Sharding
$out
Index Intersection
Text Search
Field-Level Redaction
LDAP & x509
Auditing
Document Validation
Fast Failover
Simpler Scalability
Aggregation ++
Encryption At Rest
In-Memory Storage
Engine
BI Connector
$lookup
MongoDB Compass
APM Integration
Profiler Visualization
Auto Index Builds
Backups to File System
Doc-Level Concurrency
Compression
Storage Engine API
≤50 replicas
Auditing ++
Ops Manager

3. DATA GOVERNANCE
&
INTELLIGENCE

4. Dynamic
Lookup
Data Governance & Intelligence
Schema
Validation
BI Connector

5. $lookup
• Left-outer join
– Includes all documents from the
left collection
– For each document in the left
collection, find the matching
documents from the right
collection and embed them
Left Collection Right Collection

6. $lookup
db.leftCollection.aggregate(
[{
$lookup:
{
from: “rightCollection”,
localField: “leftVal”,
foreignField: “rightVal”,
as: “embeddedData”
}
}])
leftCollection rightCollection

7. Data Governance with Document Validation
Implement data governance without
sacrificing agility that comes from dynamic
schema
• Enforce data quality across multiple teams and
applications
• Use familiar MongoDB expressions to control
document structure
• Validation is optional and can be as simple as a
single field, all the way to every field, including
existence, data types, and regular expressions

8. Document Validation Example
The example on the left adds a rule to the
contacts collection that validates:
• The year of birth is no later than 1994
• The document contains a phone number and / or
an email address
• When present, the phone number and email
addresses are strings

9. 11
MongoDB Connector for BI
Visualize and explore multi-dimensional documents
using SQL-based BI tools. The connector does the
following:
• Provides the BI tool with the schema of the
MongoDB collection to be visualized
• Translates SQL statements issued by the
BI tool into equivalent MongoDB queries
that are sent to MongoDB for processing
• Converts the results into the tabular format
expected by the BI tool, which can then
visualize the data based on user
requirements

10. 12
Location & Flow of Data
MongoDB
BI
Connector
Mapping meta-data Application data
{name:
“Andrew”,
address:
{street:…
}}
DocumentTableAnalytics & visualization

11. 13
BI Connector - Data Mapping
mongodrdl --host 192.168.1.94 --port 27017 -d myDbName
-o myDrdlFile.drdl
mongobischema import myCollectionName myDrdlFile.drdl
DRDL
mongodrdl mongobischema
PostgreSQL
MongoDB-
specific
Foreign Data
Wrapper

12. 14
BI Connector - Data Mapping DRDL file
• Redact attributes
• Use more appropriate types
(sampling can get it wrong)
• Rename tables (v1.1+)
• Rename columns (v1.1+)
• Build new views using
MongoDB Aggregation
Framework
• e.g., $lookup to join 2 tables
- table: homesales
collection: homeSales
pipeline: []
columns:
- name: _id
mongotype: bson.ObjectId
sqlname: _id
sqltype: varchar
- name: address.county
mongotype: string
sqlname: address_county
sqltype: varchar
- name:
address.nameOrNumber
mongotype: int
sqlname:
address_nameornumber
sqltype: varchar

13. Spark Connector

14. NEW STORAGE ENGINES

15. Storage Engines
Operator Family Operators
WiredTiger
Default storage engine starting with MongoDB 3.2.
Well-suited for both read and write intensive workloads and recommended for all new
deployments.
Document-level concurrency model and compression
MMap
The original MongoDB storage engine
Performs well on workloads with high volumes of reads, in-place updates and limited
document size growth.
Collection-level concurrency and no compression
In-Memory Retains data, indexes and oplog in-memory for more predictable data latencies.
Encrypted
Provides at-rest encryption. Key rotation and KMIP integration. AES256-CBC default
encryption. AES256-GCM and FIPS mode also available.

16. More Workloads via Storage Engines
In-Memory Encrypted

17. ENHANCED TOOLING

18. APM
Integration
Advanced Tools
QueryProfiling
&Tuning
SchemaDiscovery
&QueryBuilder

19. COMPASS DEMO

20. CLOUD MANAGER DEMO

21. Next Steps
• Download the Whitepaper
– https://www.mongodb.com/collateral/mongodb-3-2-whats-new
• Read the Release Notes
– https://docs.mongodb.org/manual/release-notes/3.2/
• Not yet ready for production but download and try!
– https://www.mongodb.org/downloads#development
• Detailed blogs
– https://www.mongodb.com/blog/
• Feedback
– https://jira.mongodb.org/
DISCLAIMER: MongoDB's product plans are for informational purposes only. MongoDB's plans
may change and you should not rely on them for delivery of a specific feature at a specific time.

22. Questions