3.4 Overview

Engineer Lead

MongoDB University

Certification

In-person training

Sometimes I do talks, like this one

Hi, I’m Norberto

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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.

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Designed for mission-critical apps

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

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Multimodel done right

MongoDB Storage Engines

MongoDB Query Language (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)

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Modernized tooling

● MongoDB Compass○ 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

Graph Processing

• Enables processing of graph & hierarchical data natively

within MongoDB with $graphLookup operator

• Uncover indirect or transitive relationships in operational data

• Recommendation engines, MDM, fraud models, social

networks, etc.

Faceted Navigation

• Grouping data 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 requirement for external search engine

Collations

• Extend global reach of apps with collations, which allow

proper text comparisons and sorting by applying language-

specific rules

• MongoDB 3.4 adds support for 100+ different languages &

locales throughout the query language and indexes

• Over 2x as many as offered by most RDBMS

Decimal Data Type

• Support for 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

Advanced Analytics

• Powerful data 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

MongoDB Connector for BI

• 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

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MongoDB Atlas: Hosted database 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

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

Zones

• Partition data across distributed clusters based on data

locality policies

• Support distributed local writes

• Easily adhere to data sovereignty requirements

• Enable deployment patterns such as tiered storage

• Can be configured visually from MongoDB Ops Manager

LDAP Authorization

• LDAP authentication & authorization reduces administrative

overhead & TCO

• User privileges can be managed centrally in LDAP and

mapped to MongoDB roles without requiring duplication

• Native platform libraries to integrate with LDAP; no need

for external dependencies and configurations; adds

LDAP support for Windows

Read-Only Views

• MongoDB 3.4 allows administrators to define dynamically

generated views that expose a subset of 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

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 support allows customers to take

advantage of power-efficient servers 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.

APM Integration

• Monitor MongoDB alongside the rest of your app

infrastructure by using our RESTful API

• Leverage packaged integrations with leading APM

platforms such as New Relic

Visual Query Profiler

• Identify the slow-running queries across your

cluster with just the click of a button

Index Suggestions

• Index suggestions to improve your query

performance

Automated Index Builds

• Automate rolling index builds to reduce operational

overhead and the risk of failovers

Server Pools

• Allocate and create pre-provisioned server pools

• Ops Manager agent installed to pool via

configuration management tools

• 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

High Resolution Monitoring

• Finer grained telemetry data: collected every 10

seconds vs every 60 seconds

• Configurable retention policies

• Simplified & extended management

• Single agent to collect both database and

hardware telemetry

• Hardware metrics now collected for Windows &

OSX hosts

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

MongoDB CompassVisualize and explore

• 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

MongoDB CompassVisualize and explore: Interactive maps for geospatial data

MongoDB Compass is the best way to visualize, understand, and work with your geospatial data.

• Compass detects your geospatial data and populates it on an interactive map

• Automatically generate geospatial queries by drawing on the interactive map with your mouse

• Use Compass to significantly reduce the effort required when working with geospatial data

Interactive maps for geospatial data are currently in beta.

MongoDB CompassInsert, 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.

MongoDB CompassDebug and optimize: Visual explain plans

Understand how queries are running through a GUI that allows you to easily identify and resolve performance issues.

• View key information about the execution plan of a query

• Visualize different explain stages in an easy-to-understand tree format

Visual explain plans are currently in beta.

MongoDB CompassDebug and optimize: 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.

MongoDB CompassNewest 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

https://university.mongodb.com/courses/M034/aboutM034: New Features and Tools in MongoDB 3.4

Links and References

• MongoDB Compass• 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/