What's New In MongoDB 3.6
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The document outlines features of MongoDB 3.6, highlighting advancements in data management, security, and analytics capabilities. Key improvements include real-time change streams, flexible data modeling, enhanced security features, and a new MongoDB Connector for BI. It also introduces richer aggregation functionalities and provides developers with an updated R driver for improved accessibility and integration.
![Speed to Develop
Change streams
Update application and
downstream systems to
react on changes to your
data in real-time, without
needing to poll the
database
Retryable writes
MongoDB drivers will
automatically retry writes in
the event of failure, with
the server enforcing
exactly-once semantics
Flexible data modeling &
improved performance
MongoDB 3.6 allows you to
perform fine-grained array
manipulations against
selected elements of an
array in a single atomic
operation.
[ ]
Causal consistency
With causal consistency,
MongoDB enforces strict,
sequential ordering of
operations in a client
session, enabling
monotonic read guarantees
usually unavailable from
distributed systems](https://image.slidesharecdn.com/whatsnewin3-171215192636/85/What-s-New-In-MongoDB-3-6-5-320.jpg)
What's New In MongoDB 3.6
- 2. MongoDB 3.6 Robert Walters Sr Solutions Architect MongoDB – New England
- 3. Who am I? •Senior Solutions Architect joined MongoDB July 2016 •Previously @ Microsoft 17+years •Program Manager SQL Server product team (2000, 2005, 2008) •Application Developer Consultant (.NET) •Pre-sales technology specialist SQL Server US 7,912,820 Automatic Task Generator Method and System, 2011 US 7,496,761 Method and System for Batch Task Creation and Execution, 2009
- 5. Speed to Develop Change streams Update application and downstream systems to react on changes to your data in real-time, without needing to poll the database Retryable writes MongoDB drivers will automatically retry writes in the event of failure, with the server enforcing exactly-once semantics Flexible data modeling & improved performance MongoDB 3.6 allows you to perform fine-grained array manipulations against selected elements of an array in a single atomic operation. [ ] Causal consistency With causal consistency, MongoDB enforces strict, sequential ordering of operations in a client session, enabling monotonic read guarantees usually unavailable from distributed systems
- 6. Speed to Production New to MongoDB Ops Manager Single pane of glass: Data Explorer, Real Time Performance Panel, Query Advisor Backups are now also faster, more flexible (S3 ad Object Store), and queryable Schema governance with JSON schema MongoDB 3.6 adds the richest governance controls to JSON data available in any database. Control entire document schema Spend less time defining data quality controls in your application Extended security controls MongoDB 3.6 continues to build upon the most extensive security capabilities of any modern database with two new enhancements: ● Bind to localhost by default ● IP whitelisting
- 7. Speed to Insight MongoDB Connector for BI – faster and simpler The connector incorporates the 3.6 enhancements to the aggregation pipeline to deliver higher performance, with more operations pushed natively to the database. Users can configure, deploy, and monitor the BI connector directly from Ops Manager. New recommended R driver for MongoDB The R driver for MongoDB provides developers and statisticians a first class experience with idiomatic, native language access to MongoDB, enterprise authentication and full support for BSON types. Richer aggregations for deeper, faster analytics & insight More powerful $lookup operator extends MongoDB’s JOIN capability to support the equivalent of SQL subqueries and non-equijoins. Richer transformations eliminate client side code in creating sophisticated, native analytics.
- 8. Getting Started with MongoDB 3.6 Download MongoDB 3.6: https://www.mongodb.com/download-center Free webinars: https://explore.mongodb.com/
Editor's Notes
- #2: Take a look at what happens in a minute Demands of the developers have changed because of speed and variety of data … business want to reach to data quicker, can’t wait for ETL operations or developers to negotiate with DBAs on relational schemas in order to move data into existing applications..
- #3: Moving at the speed of your data is what MongoDB 3.6 is all about
- #6: 3.6 accelerates how quickly customers can bring new apps and services to market by making developers more productive Change Streams – Create real time applications that respond to events as they happen (reactive programming, event driven systems) Retryable writes - In the event of write failures, developers want to retry their writes without having to maintain custom client-side code to detect and handle every type of failure. Flexible Data Modeling – Selectively update elements in array as opposed to pulling the whole document, updating and returning Causal Consistency - Developers want a guarantee that subsequent reads will always see previous writes within user sessions. Strongly consistent no matter which node they read from! A.k.a. monotonic reads across distributed systems!
- #7: OpsManager – faster – improved initial sync, less storage space requirements 3x/2x, backup to S3/Object Stores Pulled key Atlas features inside OpsManager – data explorer, performance advisor, real-time monitor 3.4 had document validation, nothing prevented users from adding fields outside the restrictions. JSON Schema conform to IETF JSON Schema specification and enforce insert/update for the entire document. The schema is queryable by that you can apply a schema to an existing collection and see which documents do not conform. Extended sec controls – ask audience if they know about MongoDB and Randsomware? IP Whitelist for 3.6 on-prem is user authenticated vs network based (Atlas). User auth can define client IP address range and/or server listen IP range Operational session management – admins can view user sessions and kill long running operations running across nodes in one command
- #8: Speed to insight is about quickly gaining insights from data warehouse/lakes. Features make process faster/easier Aggregation Framework constantly evolving, introduced more operators this version. Non-equjoins – equivalent of SQL subqueries Continuing to reduce the amount of client side code that you need to write to get your query results. BIC – leverage new $lookup to push more queries in engine Can be managed with opsmanager Charts R Driver – full support for BSON types like Decimal128!