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Mongo db 3.4 Overview
The document outlines the features and enhancements of MongoDB 3.4, emphasizing its suitability for mission-critical applications with improved security, scalability, and support for multiple data models. Key advancements include modernized tooling, advanced analytics capabilities, and enhanced data management features such as support for decimal types and sophisticated query optimizations. MongoDB Atlas is introduced as a hosted database service with automated, high-performance, and secured environments for deploying applications.
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Mongo db 3.4 Overview
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- 2. Engineer Lead MongoDB University Certification In-persontraining Sometimes I do talks, like this one Hi, I’m Norberto
- 3. 3 3.4 Themes Mission-critical apps.Stronger security, broader platform support, and Zones make MongoDB ready for the most demanding mission-critical deployments. Multimodel done right. Other vendors sell you multiple products. MongoDB gives you multiple models in one database: document, graph, key value, and search with faceted navigation. Modernized tooling. A sophisticated range of tools and integrations provide powerful capabilities for Data Analysts, DBAs, and Operations teams.
- 4. 4 Designed for mission-criticalapps Zones ● Geo. distribution ● Tiered Storage ● Application Affinity Advanced Security ● Native LDAP authorization ● Read-only views for field-level security Elastic Clusters ● Scale up and down without disruption ● Faster auto- balance and initial sync Tunable Consistency ● Linearizable reads ● Maximum lag setting for secondary reads
- 5. 5 Multimodel done right MongoDBStorage Engines MongoDB QueryLanguage (MQL) + Native Drivers WiredTiger Encrypted In- memory Column- oriented* LSM* MongoDB Data Models Relational Graph Key/ValueDocument ● Graph processing ○ Recursive joins ● Enhanced analytics ○ Faceted navigation ○ Spark connector ○ SQL interface for BI ○ 20+ other new expressions, including pipeline branching ● Expanded data management ○ Decimal support ○ Collations for 100+ languages * Future storage engines (not in 3.4)
- 6. 6 Modernized tooling ● MongoDBCompass ○ Visualize query plans ○ Build validation rules ○ Modify documents ○ View server and index stats ● MongoDB as a Service ○ Server Pools ○ Cloud Foundry integration ● Monitoring ○ Finer time granularity ○ Hardware stats
- 7. Graph Processing • Enablesprocessing ofgraph & hierarchical data natively within MongoDB with $graphLookup operator • Uncover indirector transitive relationships in operational data • Recommendation engines,MDM,fraud models,social networks, etc.
- 8. Faceted Navigation • Groupingdata into related categories for intuitive exploration & discovery • Used in search and analytics applications • New aggregation pipeline stages for faceting, bucketing & sorted counts across multiple dimensions • Eliminates requirementfor external search engine
- 9. Collations • Extend globalreach ofapps with collations,which allow proper text comparisons and sorting by applying language- specific rules • MongoDB 3.4 adds supportfor 100+ differentlanguages & locales throughoutthe query language and indexes • Over 2x as many as offered by most RDBMS
- 10. Decimal Data Type •Supportfor the IEEE 754-2008 decimal128 type in server and drivers • Enables correct storage,comparing and sorting of decimal values • Database stores exact values to eliminate rounding errors for high-precision calculations,complex financial & scientific apps Decimal128
- 11. Advanced Analytics • Powerfuldata processing pipeline for analytics & transformations • 25+ enhancements simplify app code • Performance improvements with query optimizer moving $match stage earlier to use indexes New Stages Array Operators String & Date Operators $graphLookup $facet $bucket $bucketAuto $sortbyCount $addFields $replaceRoot $in $indexOfArray $range $reverseArray $reduce $zip $indexOfBytes $indexOfCP $split $strLenBytes $strLenCP $substrBytes $substrCP $isoDayOfWeek $isoWeek $isoWeekYear
- 12. MongoDB Connector forBI • Create powerful visualizations & analytics from SQL-based BI tooling • Auto-schema sampling • Eliminates ETL • Higher performance with re-written SQL layer • More processing pushed down to the database • Simplified installation and authentication
- 13. 13 MongoDB Atlas: Hosteddatabase service ● Automated: The easiest way to build, launch, and scale apps on MongoDB ● Secured: VPC peering, SSL/TLS, encrypted storage volumes, IP whitelists, authentication/authorization via SCRAM-SHA1, and more ● Highly available: Deployments distributed across 3 AWS availability zones ● High performance: WiredTiger storage engine for demanding workloads Try MongoDB Atlas for free with $25 Promo Code: GOATLAS25
- 14. Improved Tunable Consistency •maxStalenessMS • Choose how and when to route queries to secondary replicas • Only read from replicas that are within a defined consistency window • Improved data quality while scaling reads across secondaries • readConcern “linearizable” for the strongest consistency guarantees of any database • Ensure that a node is the primary at the time of read • Ensure that data returned will not be rolled back if another node is subsequently elected as primary
- 15. Zones • Partition dataacross distributed clusters based on data locality policies • Supportdistributed local writes • Easily adhere to data sovereignty requirements • Enable deploymentpatterns such as tiered storage • Can be configured visually from MongoDB Ops Manager
- 16. LDAP Authorization • LDAPauthentication & authorization reduces administrative overhead & TCO • User privileges can be managed centrally in LDAP and mapped to MongoDB roles withoutrequiring duplication • Native platform libraries to integrate with LDAP; no need for external dependencies and configurations;adds LDAP supportfor Windows
- 17. Read-Only Views • MongoDB3.4 allows administrators to define dynamically generated views that expose a subsetof data from the underlying collection • Reduces risk of sensitive data exposure • Views do not affect source collections • Separately specified permissions levels • Allows organizations to more easily meet compliance standards in regulated industries
- 18. Expanded Platform Support •MongoDB 3.4 supports the growing demand to run the database on a more diverse range of platforms • ARM v8-64 bit supportallows customers to take advantage of power-efficientservers being deployed into ultra dense data center racks • IBM Power8 and zSeries support provides seamless migration for enterprises modernizing legacy workloads. Available for MongoDB Enterprise Server.
- 19. APM Integration • MonitorMongoDB alongside the rest of your app infrastructure by using our RESTful API • Leverage packaged integrations with leading APM platforms such as New Relic
- 20. Visual Query Profiler •Identify the slow-running queries across your cluster with just the click of a button
- 21. Index Suggestions • Indexsuggestions to improve your query performance
- 22. Automated Index Builds •Automate rolling index builds to reduce operational overhead and the risk of failovers
- 23. Server Pools • Allocateand create pre-provisioned server pools • Ops Manager agentinstalled to pool via configuration managementtools • Server pools exposed to internal teams, ready for provisioning into local groups • Allow administrators to create true, on demand database resources for private cloud environments
- 24. High Resolution Monitoring •Finer grained telemetry data:collected every 10 seconds vs every 60 seconds • Configurable retention policies • Simplified & extended management • Single agentto collectboth database and hardware telemetry • Hardware metrics now collected for Windows & OSX hosts
- 25. MongoDB Compass • Visualize& explore your schema with an intuitive GUI • Gain quick insights about your data with easy-to-read histograms • Build queries with a few clicks • Drill down to view individual documents in your collection • Understand and resolve performance issues with visual explain plans • Check index utilization Debug & Optimize Visualize & Explore The GUI for MongoDB Visual explain plans and full CRUD functionality are currently in beta. • Insert new documents or clone existing documents • Modify documents in place using the powerful visual editor • Delete documents in just a few clicks Insert, Modify, & Delete
- 26. MongoDB Compass Visualize andexplore • Visually explore the structure of your data to understand the schema and identify anomalies • Gain insights with histograms that display the distribution of values across your fields • Perform ad hoc complex queries with just a few clicks
- 27. MongoDB Compass Visualize andexplore: Interactive maps for geospatial data MongoDB Compass is the best way to visualize, understand, and work with your geospatial data. • Compass detects your geospatial dataandpopulates it on an interactive map • Automatically generategeospatial queries by drawing on the interactive map with your mouse • Use Compass to significantly reduce the effort requiredwhen working with geospatial data Interactive maps for geospatial data are currently in beta.
- 28. MongoDB Compass Insert, modify& delete: Full CRUD functionality Modify your data using MongoDB Compass. • Insert new documents or clone existing documents • Modify existing documents with greater confidence using the powerful visual editor • Delete documents in just a few clicks Full CRUD functionality is currently in beta.
- 29. MongoDB Compass Debug andoptimize: Visual explain plans Understand how queries are running through a GUI that allows you to easily identify and resolve performance issues. • View key information aboutthe execution plan of a query • Visualize differentexplain stages in an easy-to-understand tree format Visual explain plans are currently in beta.
- 30. MongoDB Compass Debug andoptimize: Index details MongoDB Compass allows you to view index details for a given collection: • Type of index: regular, text, geospatial, or hashed • Size of index: how much space the index uses • Index utilization: how many times the index has been used • Special properties: unique index, compound index, etc.
- 31. MongoDB Compass Newest features •Schema and query optimization • MongoDB Compass enhancements • Modify documents • Create document validation rules • Optimize query performance with visual explain plans, index usage, and real-time statistics • All controlled from a single intuitive and sophisticated GUI
- 32. https://university.mongodb.com/courses/M034/about M034: New Featuresand Tools in MongoDB 3.4
- 33. Links and References • MongoDBCompass • https://www.mongodb.com/produ cts/compass • MongoDB Atlas • https://www.mongodb.com/cloud/ atlas • MongoDB 3.4 • https://www.mongodb.com/mong odb-3.4 Norberto Leite norberto@mongodb.com @nleite https://www.linkedin.com/in/norbertoleite/