1. Senior Solutions Architect, MongoDB Inc.
What’s New in MongoDB 2.6
Massimo Brignoli
Senior Solutions Architect, MongoDB Inc.

2. Recent Release History
2.2
Aug ‘12
2.4
Mar‘13
2.6
Jan ‘14
Hash-based sharding
Text Search
V8 JavaScript engine
Faster counts
Aggregation Framework
Multi-Data Center Deployments
Improved Performance and Concurrency
Need to edit this slide to make 2.6 look like the big deal.
Also need a cooler intro!

3. What’s New Query System Improvements Integrated Text Search
Enterprise-Grade Security
Non-Stop Operations

4. Query System Improvements

5. Query System Improvments
Index Intersection
Pipelined Data Transformations
New Update Operators
New Set Operators

6. Index Intersection Simpler ad-hoc queries
Existing Indexes can be combined to optimize a query
Less Index Maintenance
Smaller Working Set
Lower Write Overhead
More Adaptive

7. Pipelined Data Transformations
$out for Aggregation
Write results sets to a named collection
No limit on output size
Cursors back for results

8. New Update Operators $mul $min $max $currentDate
New modifiers for $push
Look at Scott H slides for update

9. New Set Operators
$project operator in the aggregation pipeline now supports an expanded set of expressions
$setIsSubset
$setEquals
$setDifference
$setIntersection
$setUnion
$allElementsTrue
$anyElementTrue

10. Redaction Field-level Security
Access policies can be set in Query Language
Two criteria to set Permissions
Document Content
User Privilege

11. Integrated Search

12. Text Search Now production-ready
Integrated with MongoDB’s Query Engine
Multi-language document support
Text-search expressions can be used in the Aggregation Framework (not true in 2.5.4)
Having text search available in MongoDB avoids the need to provision an external search cluster and replicate data to it for common search functions. Text search allows users to run text search queries in-place over MongoDB data, reducing cost and operational overhead to deliver search functionality.

13. Possibilities with Text Search
Relevance ranking
Boolean operators
Language-specific tokenization and stemming
Fielded search
Field-weighted scoring
Stop words
Type-aware indexes
Take slides from Text Search tech talk

14. Security

15. Security Authentication with LDAP (Enterprise only) x.509 Certificates
User defined roles
Auditing (Enterprise only)
Windows Kerberos Support (And Windows Enterprise)

16. State of Security in MongoDB
Authentication
Who are you?
X.509 authentication and Kerberos
Authorization
What can you do?
User Defined Roles, Collection-level Access Control
Auditing
What have you done?
DDL, User Manipulation, Authorization failure
Things that are missing—queries, crud, access granted in general
We don’t audit every single operation.

17. Operational Improvements

18. Improving Performance and Scalability
Query Router Connection Pooling
Bulk Write Operations
Resource Overload Protection with $maxTimeMS
Query Router Connection pooling: Connection pools for the MongoDB query routers can now be re-used by multiple MongoDB servers. This reduces the total number of connections needed in highly concurrent systems, lowering resource consumption by up to 5x. As a result, users can scale out to larger clusters supporting higher user load with less hardware.
Bulk Write Operations: Write operations can now be applied in bulk to a MongoDB collection, increasing performance and enhancing scalability when ingesting data from high velocity data streams.  
Users can configure the batch operation to either:
Complete, reporting any write errors for later retries
Stop the operation immediately if an error is returned.
Resource Overload Protection: The new $maxTimeMS option (add link to docs) enables administrators to abort MongoDB queries and commands automatically if they exceed a pre-configured maximum time limit, with error messages returned to the client.
Administrators can coordinate time-outs between the application, the driver and the database to prevent resource overload and ensure predictable performance. Time-outs can also be configured per query, affording high user flexibility.

19. Operational Improvements
Background Secondary Indexing
Mixed SSL Connections
Expanded SNMP Support
Background Secondary Indexing: Index builds running in the foreground of a MongoDB instance will block other database operations. To provide continuous availability, MongoDB therefore supports the creation of indexes in the background when they are running on the primary member of a replica set. MongoDB 2.6 extends this capability to secondary members of the replica set, which now replicate and perform the index build in the background as well. As a result, both primary and secondary replicas remain fully online, without operators having to manage rolling restarts.
In addition, index creation operations that are interrupted due to a failure can now automatically resume when the node recovers.
Mixed SSL Connections: Users now have the flexibility to run SSL and non-SSL connections to the same MongoDB server. As a result, administrators can avoid MongoDB downtime as they implement SSL across the cluster.
Expanded SNMP Support: MongoDB Enterprise offers SNMP support, which can be used to integrate MongoDB with external monitoring solutions. Using MongoDB 2.6, Enterprise customers now have access to nearly the full range of metrics provided by the db.serverStatus() command, providing more detailed server metrics.

20. #MongoDB
Thanks!
Massimo Brignoli