SlideShare a Scribd company logo
1 of 20
Code ruben20 gets you a
20% discount off the list
price.
8 November 2017
London, UK
Intercontinental at the 02
Conceptos Avanzados : Parte 1
Motores de Almacenamiento
Rubén Terceño
Senior Solutions Architect, EMEA
@rubenTerceño
Alejandro Mancilla
Senior Solutions Architect, LATAM
@alxmancilla
3
Concpetos Avanzados
• Continuación de Concptos Básicos: Una Introducción a NoSQL y MongoDB
• Cubrimos temas más avanzados:
– Mototres de Almacenamiento
• Cuántos existen y cuál esocger
– Aggregation Framework
• Como ejecutar analítica avanzada en la propia base de datos
– Conector de BI
• Cómo crear visualizaciones y reportes a partir de datos de MongoDB
– Seguridad
• Cómo volver inexpungnable nuestro despliegue de MongoDB
4
Replica Set Refresher
SecondarySecondary
Primary
Heartbeat
Heartbeat
Heartbeat
5
Storage Engines
6
Comparison
7
Storage Engine API
• Arrived with MongoDB 3.0 (March 2015)
• Two storage engines initially supported
– Wired Tiger
– MMAPV1
• MongoDB 3.2 (Dec 2015)
– made Wired Tiger the default storage engine
– added the encrypted storage engine
• MongoDB 3.2.6 – In-memory storage engine
8
MMAPV1
• Memory mapped, used MMAP to map pages to memory
• The original MongoDB storage engine
• Collection level locking
• Refactored MongoDB 2.6 code base
• Fast for reads, slow for writes.
• Ultra fast for updates.
• Can't utilize the memory and core footprint of modern server architectures
• Was still the default storage engine in 3.0
9
Wired Tiger
• Created by founders of BerkeleyDB
• Designed for modern server architectures (high memory, high core count)
• Uses a "lock free" architecture to minimise locks that are held
• Use MVCC (multi-version concurrency control) to maximise the ability for
readers to access data consistently
• Designed to be a "database toolkit"
• Has internal support for row stores, column stores, LSM trees, transactions
(not all these are used by MongoDB)
• Is the basis of the encrypted and in-memory storage engines
10
Wired Tiger Performance
11
Wired Tiger Cache
• Starting in 3.4, the WiredTiger internal cache, by default, will use the larger of
either:
– 50% of RAM minus 1 GB, or
– 256 MB
• Cache does not represent the total memory footprint of the server
• Keeping data in the cache really improves performance
12
Wired Tiger Compression
Enron Email Corpus
http://mongodb-enron-email.s3-website-us-east-1.amazonaws.com/
About 0.5m messages
13
Wired Tiger Write Performance
Report
https://www.mongodb.com/collateral/comparative-benchmarks-mongodb-vs-couchbase-vs-cassandra
14
In Memory
• --storageEngine in-Memory
• Designed for low, consistent latency
• Dataset must fit in memory
• By default will allocate 50% of RAM minus 1GB
• Can configure with --inMemorySizeGB to reduce or increase
• Exceeded memory error:
"WT_CACHE_FULL: operation would overflow cache"
15
In-Memory Performance
16
Encrypted Storage Engine
• Built on the Wired Tiger Storage engine
• Supports KMIP - Key Management Interoperability Protocol
– https://en.wikipedia.org/wiki/Key_Management_Interoperability_Protocol
• Start server with --enableEncryption
• Essentially a variant on the WT storage engine as opposed to a storage engine in its own
right
• The KMIP key is used to generate internal keys to encrypt the data
17
Example Mixed Deployment
SecondarySecondary
Primary
SecondarySecondary
Hidden Disk Replicas
Visible (Votable) in memory replicas
18
When To Use
• Default is Wired Tiger : Use this and you’ll be right most of the times.
• In-Memory : For low latency read/write operations where long term durability
is less of an issue
– Cache is a typical use case
• Encrypted : If you data is sensitive or you need to certify your stack against
HIPAA, FIPS or SOC-2
• Can mix and match
• Easy to switch
• But – if you are building mixed mode cluster please talk to us
19
Q&A
Code ruben20 gets you a
20% discount off the list
price.
8 November 2017
London, UK
Intercontinental at the 02

More Related Content

What's hot

An Introduction to MongoDB Ops Manager
An Introduction to MongoDB Ops ManagerAn Introduction to MongoDB Ops Manager
An Introduction to MongoDB Ops ManagerMongoDB
 
Mongo db eveningschemadesign
Mongo db eveningschemadesignMongo db eveningschemadesign
Mongo db eveningschemadesignMongoDB APAC
 
Key Performance Indicators for Managing MongoDB and Recommended Production Co...
Key Performance Indicators for Managing MongoDB and Recommended Production Co...Key Performance Indicators for Managing MongoDB and Recommended Production Co...
Key Performance Indicators for Managing MongoDB and Recommended Production Co...MongoDB
 
Scaling MongoDB to a Million Collections
Scaling MongoDB to a Million CollectionsScaling MongoDB to a Million Collections
Scaling MongoDB to a Million CollectionsMongoDB
 
Practical Design Patterns for Building Applications Resilient to Infrastructu...
Practical Design Patterns for Building Applications Resilient to Infrastructu...Practical Design Patterns for Building Applications Resilient to Infrastructu...
Practical Design Patterns for Building Applications Resilient to Infrastructu...MongoDB
 
3 scenarios when to use MongoDB!
3 scenarios when to use MongoDB!3 scenarios when to use MongoDB!
3 scenarios when to use MongoDB!Edureka!
 
Securing Your Enterprise Web Apps with MongoDB Enterprise
Securing Your Enterprise Web Apps with MongoDB Enterprise Securing Your Enterprise Web Apps with MongoDB Enterprise
Securing Your Enterprise Web Apps with MongoDB Enterprise MongoDB
 
Using Compass to Diagnose Performance Problems in Your Cluster
Using Compass to Diagnose Performance Problems in Your ClusterUsing Compass to Diagnose Performance Problems in Your Cluster
Using Compass to Diagnose Performance Problems in Your ClusterMongoDB
 
MongoDB Administration 101
MongoDB Administration 101MongoDB Administration 101
MongoDB Administration 101MongoDB
 
Engineering an Encrypted Storage Engine
Engineering an Encrypted Storage EngineEngineering an Encrypted Storage Engine
Engineering an Encrypted Storage EngineMongoDB
 
Introduction to MongoDB Enterprise
Introduction to MongoDB EnterpriseIntroduction to MongoDB Enterprise
Introduction to MongoDB EnterpriseMongoDB
 
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger MongoDB
 
Powering Microservices with Docker, Kubernetes, Kafka, & MongoDB
Powering Microservices with Docker, Kubernetes, Kafka, & MongoDBPowering Microservices with Docker, Kubernetes, Kafka, & MongoDB
Powering Microservices with Docker, Kubernetes, Kafka, & MongoDBMongoDB
 
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...Prasoon Kumar
 
MongoDB .local Bengaluru 2019: Using MongoDB Services in Kubernetes: Any Plat...
MongoDB .local Bengaluru 2019: Using MongoDB Services in Kubernetes: Any Plat...MongoDB .local Bengaluru 2019: Using MongoDB Services in Kubernetes: Any Plat...
MongoDB .local Bengaluru 2019: Using MongoDB Services in Kubernetes: Any Plat...MongoDB
 
MongoDB vs Mysql. A devops point of view
MongoDB vs Mysql. A devops point of viewMongoDB vs Mysql. A devops point of view
MongoDB vs Mysql. A devops point of viewPierre Baillet
 
When to Use MongoDB...and When You Should Not...
When to Use MongoDB...and When You Should Not...When to Use MongoDB...and When You Should Not...
When to Use MongoDB...and When You Should Not...MongoDB
 

What's hot (20)

An Introduction to MongoDB Ops Manager
An Introduction to MongoDB Ops ManagerAn Introduction to MongoDB Ops Manager
An Introduction to MongoDB Ops Manager
 
Mongo db eveningschemadesign
Mongo db eveningschemadesignMongo db eveningschemadesign
Mongo db eveningschemadesign
 
Key Performance Indicators for Managing MongoDB and Recommended Production Co...
Key Performance Indicators for Managing MongoDB and Recommended Production Co...Key Performance Indicators for Managing MongoDB and Recommended Production Co...
Key Performance Indicators for Managing MongoDB and Recommended Production Co...
 
NoSQL benchmarking
NoSQL benchmarkingNoSQL benchmarking
NoSQL benchmarking
 
Scaling MongoDB to a Million Collections
Scaling MongoDB to a Million CollectionsScaling MongoDB to a Million Collections
Scaling MongoDB to a Million Collections
 
Practical Design Patterns for Building Applications Resilient to Infrastructu...
Practical Design Patterns for Building Applications Resilient to Infrastructu...Practical Design Patterns for Building Applications Resilient to Infrastructu...
Practical Design Patterns for Building Applications Resilient to Infrastructu...
 
3 scenarios when to use MongoDB!
3 scenarios when to use MongoDB!3 scenarios when to use MongoDB!
3 scenarios when to use MongoDB!
 
Securing Your Enterprise Web Apps with MongoDB Enterprise
Securing Your Enterprise Web Apps with MongoDB Enterprise Securing Your Enterprise Web Apps with MongoDB Enterprise
Securing Your Enterprise Web Apps with MongoDB Enterprise
 
Using Compass to Diagnose Performance Problems in Your Cluster
Using Compass to Diagnose Performance Problems in Your ClusterUsing Compass to Diagnose Performance Problems in Your Cluster
Using Compass to Diagnose Performance Problems in Your Cluster
 
MongoDB Administration 101
MongoDB Administration 101MongoDB Administration 101
MongoDB Administration 101
 
Engineering an Encrypted Storage Engine
Engineering an Encrypted Storage EngineEngineering an Encrypted Storage Engine
Engineering an Encrypted Storage Engine
 
Introduction to MongoDB Enterprise
Introduction to MongoDB EnterpriseIntroduction to MongoDB Enterprise
Introduction to MongoDB Enterprise
 
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger
 
Powering Microservices with Docker, Kubernetes, Kafka, & MongoDB
Powering Microservices with Docker, Kubernetes, Kafka, & MongoDBPowering Microservices with Docker, Kubernetes, Kafka, & MongoDB
Powering Microservices with Docker, Kubernetes, Kafka, & MongoDB
 
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...
MongoDB Introduction talk at Dr Dobbs Conference, MongoDB Evenings at Bangalo...
 
MongoDB .local Bengaluru 2019: Using MongoDB Services in Kubernetes: Any Plat...
MongoDB .local Bengaluru 2019: Using MongoDB Services in Kubernetes: Any Plat...MongoDB .local Bengaluru 2019: Using MongoDB Services in Kubernetes: Any Plat...
MongoDB .local Bengaluru 2019: Using MongoDB Services in Kubernetes: Any Plat...
 
MongoDB 3.4 webinar
MongoDB 3.4 webinarMongoDB 3.4 webinar
MongoDB 3.4 webinar
 
MongoDB vs Mysql. A devops point of view
MongoDB vs Mysql. A devops point of viewMongoDB vs Mysql. A devops point of view
MongoDB vs Mysql. A devops point of view
 
When to Use MongoDB...and When You Should Not...
When to Use MongoDB...and When You Should Not...When to Use MongoDB...and When You Should Not...
When to Use MongoDB...and When You Should Not...
 
Rpsonmongodb
RpsonmongodbRpsonmongodb
Rpsonmongodb
 

Similar to Conceptos Avanzados 1: Motores de Almacenamiento

Beyond the Basics 1: Storage Engines
Beyond the Basics 1: Storage Engines	Beyond the Basics 1: Storage Engines
Beyond the Basics 1: Storage Engines MongoDB
 
Let the Tiger Roar!
Let the Tiger Roar!Let the Tiger Roar!
Let the Tiger Roar!MongoDB
 
Let the Tiger Roar - MongoDB 3.0
Let the Tiger Roar - MongoDB 3.0Let the Tiger Roar - MongoDB 3.0
Let the Tiger Roar - MongoDB 3.0Norberto Leite
 
MongoDB 101 & Beyond: Get Started in MongoDB 3.0, Preview 3.2 & Demo of Ops M...
MongoDB 101 & Beyond: Get Started in MongoDB 3.0, Preview 3.2 & Demo of Ops M...MongoDB 101 & Beyond: Get Started in MongoDB 3.0, Preview 3.2 & Demo of Ops M...
MongoDB 101 & Beyond: Get Started in MongoDB 3.0, Preview 3.2 & Demo of Ops M...MongoDB
 
Running MongoDB 3.0 on AWS
Running MongoDB 3.0 on AWSRunning MongoDB 3.0 on AWS
Running MongoDB 3.0 on AWSMongoDB
 
MongoDB 3.0 and WiredTiger (Event: An Evening with MongoDB Dallas 3/10/15)
MongoDB 3.0 and WiredTiger (Event: An Evening with MongoDB Dallas 3/10/15)MongoDB 3.0 and WiredTiger (Event: An Evening with MongoDB Dallas 3/10/15)
MongoDB 3.0 and WiredTiger (Event: An Evening with MongoDB Dallas 3/10/15)MongoDB
 
Let the Tiger Roar! - MongoDB 3.0 + WiredTiger
Let the Tiger Roar! - MongoDB 3.0 + WiredTigerLet the Tiger Roar! - MongoDB 3.0 + WiredTiger
Let the Tiger Roar! - MongoDB 3.0 + WiredTigerJon Rangel
 
Benchmarking, Load Testing, and Preventing Terrible Disasters
Benchmarking, Load Testing, and Preventing Terrible DisastersBenchmarking, Load Testing, and Preventing Terrible Disasters
Benchmarking, Load Testing, and Preventing Terrible DisastersMongoDB
 
DevOps for ETL processing at scale with MongoDB, Solr, AWS and Chef
DevOps for ETL processing at scale with MongoDB, Solr, AWS and ChefDevOps for ETL processing at scale with MongoDB, Solr, AWS and Chef
DevOps for ETL processing at scale with MongoDB, Solr, AWS and ChefGaurav "GP" Pal
 
stackArmor presentation for DevOpsDC ver 4
stackArmor presentation for DevOpsDC ver 4stackArmor presentation for DevOpsDC ver 4
stackArmor presentation for DevOpsDC ver 4Gaurav "GP" Pal
 
Zendcon scaling magento
Zendcon scaling magentoZendcon scaling magento
Zendcon scaling magentoMathew Beane
 
What'sNnew in 3.0 Webinar
What'sNnew in 3.0 WebinarWhat'sNnew in 3.0 Webinar
What'sNnew in 3.0 WebinarMongoDB
 
WiredTiger & What's New in 3.0
WiredTiger & What's New in 3.0WiredTiger & What's New in 3.0
WiredTiger & What's New in 3.0MongoDB
 
MongoDB World 2015 - A Technical Introduction to WiredTiger
MongoDB World 2015 - A Technical Introduction to WiredTigerMongoDB World 2015 - A Technical Introduction to WiredTiger
MongoDB World 2015 - A Technical Introduction to WiredTigerWiredTiger
 
https://docs.google.com/presentation/d/1DcL4zK6i3HZRDD4xTGX1VpSOwyu2xBeWLT6a_...
https://docs.google.com/presentation/d/1DcL4zK6i3HZRDD4xTGX1VpSOwyu2xBeWLT6a_...https://docs.google.com/presentation/d/1DcL4zK6i3HZRDD4xTGX1VpSOwyu2xBeWLT6a_...
https://docs.google.com/presentation/d/1DcL4zK6i3HZRDD4xTGX1VpSOwyu2xBeWLT6a_...MongoDB
 
Webinar slides: Our Guide to MySQL & MariaDB Performance Tuning
Webinar slides: Our Guide to MySQL & MariaDB Performance TuningWebinar slides: Our Guide to MySQL & MariaDB Performance Tuning
Webinar slides: Our Guide to MySQL & MariaDB Performance TuningSeveralnines
 
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDB
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDBMongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDB
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDBMongoDB
 
Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8MongoDB
 
Lonestar php scalingmagento
Lonestar php scalingmagentoLonestar php scalingmagento
Lonestar php scalingmagentoMathew Beane
 
Webinar: Backups + Disaster Recovery
Webinar: Backups + Disaster RecoveryWebinar: Backups + Disaster Recovery
Webinar: Backups + Disaster RecoveryMongoDB
 

Similar to Conceptos Avanzados 1: Motores de Almacenamiento (20)

Beyond the Basics 1: Storage Engines
Beyond the Basics 1: Storage Engines	Beyond the Basics 1: Storage Engines
Beyond the Basics 1: Storage Engines
 
Let the Tiger Roar!
Let the Tiger Roar!Let the Tiger Roar!
Let the Tiger Roar!
 
Let the Tiger Roar - MongoDB 3.0
Let the Tiger Roar - MongoDB 3.0Let the Tiger Roar - MongoDB 3.0
Let the Tiger Roar - MongoDB 3.0
 
MongoDB 101 & Beyond: Get Started in MongoDB 3.0, Preview 3.2 & Demo of Ops M...
MongoDB 101 & Beyond: Get Started in MongoDB 3.0, Preview 3.2 & Demo of Ops M...MongoDB 101 & Beyond: Get Started in MongoDB 3.0, Preview 3.2 & Demo of Ops M...
MongoDB 101 & Beyond: Get Started in MongoDB 3.0, Preview 3.2 & Demo of Ops M...
 
Running MongoDB 3.0 on AWS
Running MongoDB 3.0 on AWSRunning MongoDB 3.0 on AWS
Running MongoDB 3.0 on AWS
 
MongoDB 3.0 and WiredTiger (Event: An Evening with MongoDB Dallas 3/10/15)
MongoDB 3.0 and WiredTiger (Event: An Evening with MongoDB Dallas 3/10/15)MongoDB 3.0 and WiredTiger (Event: An Evening with MongoDB Dallas 3/10/15)
MongoDB 3.0 and WiredTiger (Event: An Evening with MongoDB Dallas 3/10/15)
 
Let the Tiger Roar! - MongoDB 3.0 + WiredTiger
Let the Tiger Roar! - MongoDB 3.0 + WiredTigerLet the Tiger Roar! - MongoDB 3.0 + WiredTiger
Let the Tiger Roar! - MongoDB 3.0 + WiredTiger
 
Benchmarking, Load Testing, and Preventing Terrible Disasters
Benchmarking, Load Testing, and Preventing Terrible DisastersBenchmarking, Load Testing, and Preventing Terrible Disasters
Benchmarking, Load Testing, and Preventing Terrible Disasters
 
DevOps for ETL processing at scale with MongoDB, Solr, AWS and Chef
DevOps for ETL processing at scale with MongoDB, Solr, AWS and ChefDevOps for ETL processing at scale with MongoDB, Solr, AWS and Chef
DevOps for ETL processing at scale with MongoDB, Solr, AWS and Chef
 
stackArmor presentation for DevOpsDC ver 4
stackArmor presentation for DevOpsDC ver 4stackArmor presentation for DevOpsDC ver 4
stackArmor presentation for DevOpsDC ver 4
 
Zendcon scaling magento
Zendcon scaling magentoZendcon scaling magento
Zendcon scaling magento
 
What'sNnew in 3.0 Webinar
What'sNnew in 3.0 WebinarWhat'sNnew in 3.0 Webinar
What'sNnew in 3.0 Webinar
 
WiredTiger & What's New in 3.0
WiredTiger & What's New in 3.0WiredTiger & What's New in 3.0
WiredTiger & What's New in 3.0
 
MongoDB World 2015 - A Technical Introduction to WiredTiger
MongoDB World 2015 - A Technical Introduction to WiredTigerMongoDB World 2015 - A Technical Introduction to WiredTiger
MongoDB World 2015 - A Technical Introduction to WiredTiger
 
https://docs.google.com/presentation/d/1DcL4zK6i3HZRDD4xTGX1VpSOwyu2xBeWLT6a_...
https://docs.google.com/presentation/d/1DcL4zK6i3HZRDD4xTGX1VpSOwyu2xBeWLT6a_...https://docs.google.com/presentation/d/1DcL4zK6i3HZRDD4xTGX1VpSOwyu2xBeWLT6a_...
https://docs.google.com/presentation/d/1DcL4zK6i3HZRDD4xTGX1VpSOwyu2xBeWLT6a_...
 
Webinar slides: Our Guide to MySQL & MariaDB Performance Tuning
Webinar slides: Our Guide to MySQL & MariaDB Performance TuningWebinar slides: Our Guide to MySQL & MariaDB Performance Tuning
Webinar slides: Our Guide to MySQL & MariaDB Performance Tuning
 
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDB
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDBMongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDB
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDB
 
Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8Webinar: High Performance MongoDB Applications with IBM POWER8
Webinar: High Performance MongoDB Applications with IBM POWER8
 
Lonestar php scalingmagento
Lonestar php scalingmagentoLonestar php scalingmagento
Lonestar php scalingmagento
 
Webinar: Backups + Disaster Recovery
Webinar: Backups + Disaster RecoveryWebinar: Backups + Disaster Recovery
Webinar: Backups + Disaster Recovery
 

More from MongoDB

MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB
 
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB
 
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB
 
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB
 
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
 
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB
 
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 MongoDB SoCal 2020: MongoDB Atlas Jump Start MongoDB SoCal 2020: MongoDB Atlas Jump Start
MongoDB SoCal 2020: MongoDB Atlas Jump StartMongoDB
 
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB
 
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB
 
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB
 
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
 
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB
 
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB
 
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB
 
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB
 
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB
 
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB
 
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
 
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB
 
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB
 

More from MongoDB (20)

MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
 
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
 
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
 
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
 
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
 
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
 
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 MongoDB SoCal 2020: MongoDB Atlas Jump Start MongoDB SoCal 2020: MongoDB Atlas Jump Start
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
 
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
 
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
 
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
 
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
 
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
 
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
 
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
 
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
 
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
 
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
 
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
 
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
 

Recently uploaded

Balasore Best It Company|| Top 10 IT Company || Balasore Software company Odisha
Balasore Best It Company|| Top 10 IT Company || Balasore Software company OdishaBalasore Best It Company|| Top 10 IT Company || Balasore Software company Odisha
Balasore Best It Company|| Top 10 IT Company || Balasore Software company Odishasmiwainfosol
 
What is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need ItWhat is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need ItWave PLM
 
What are the key points to focus on before starting to learn ETL Development....
What are the key points to focus on before starting to learn ETL Development....What are the key points to focus on before starting to learn ETL Development....
What are the key points to focus on before starting to learn ETL Development....kzayra69
 
Unveiling the Future: Sylius 2.0 New Features
Unveiling the Future: Sylius 2.0 New FeaturesUnveiling the Future: Sylius 2.0 New Features
Unveiling the Future: Sylius 2.0 New FeaturesŁukasz Chruściel
 
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...stazi3110
 
Folding Cheat Sheet #4 - fourth in a series
Folding Cheat Sheet #4 - fourth in a seriesFolding Cheat Sheet #4 - fourth in a series
Folding Cheat Sheet #4 - fourth in a seriesPhilip Schwarz
 
Implementing Zero Trust strategy with Azure
Implementing Zero Trust strategy with AzureImplementing Zero Trust strategy with Azure
Implementing Zero Trust strategy with AzureDinusha Kumarasiri
 
Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)OPEN KNOWLEDGE GmbH
 
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样umasea
 
How to Track Employee Performance A Comprehensive Guide.pdf
How to Track Employee Performance A Comprehensive Guide.pdfHow to Track Employee Performance A Comprehensive Guide.pdf
How to Track Employee Performance A Comprehensive Guide.pdfLivetecs LLC
 
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024StefanoLambiase
 
EY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityEY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityNeo4j
 
Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide
Building Real-Time Data Pipelines: Stream & Batch Processing workshop SlideBuilding Real-Time Data Pipelines: Stream & Batch Processing workshop Slide
Building Real-Time Data Pipelines: Stream & Batch Processing workshop SlideChristina Lin
 
Unveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML DiagramsUnveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML DiagramsAhmed Mohamed
 
BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASE
BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASEBATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASE
BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASEOrtus Solutions, Corp
 
Software Project Health Check: Best Practices and Techniques for Your Product...
Software Project Health Check: Best Practices and Techniques for Your Product...Software Project Health Check: Best Practices and Techniques for Your Product...
Software Project Health Check: Best Practices and Techniques for Your Product...Velvetech LLC
 
Recruitment Management Software Benefits (Infographic)
Recruitment Management Software Benefits (Infographic)Recruitment Management Software Benefits (Infographic)
Recruitment Management Software Benefits (Infographic)Hr365.us smith
 
MYjobs Presentation Django-based project
MYjobs Presentation Django-based projectMYjobs Presentation Django-based project
MYjobs Presentation Django-based projectAnoyGreter
 
Introduction Computer Science - Software Design.pdf
Introduction Computer Science - Software Design.pdfIntroduction Computer Science - Software Design.pdf
Introduction Computer Science - Software Design.pdfFerryKemperman
 

Recently uploaded (20)

Balasore Best It Company|| Top 10 IT Company || Balasore Software company Odisha
Balasore Best It Company|| Top 10 IT Company || Balasore Software company OdishaBalasore Best It Company|| Top 10 IT Company || Balasore Software company Odisha
Balasore Best It Company|| Top 10 IT Company || Balasore Software company Odisha
 
What is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need ItWhat is Fashion PLM and Why Do You Need It
What is Fashion PLM and Why Do You Need It
 
What are the key points to focus on before starting to learn ETL Development....
What are the key points to focus on before starting to learn ETL Development....What are the key points to focus on before starting to learn ETL Development....
What are the key points to focus on before starting to learn ETL Development....
 
Unveiling the Future: Sylius 2.0 New Features
Unveiling the Future: Sylius 2.0 New FeaturesUnveiling the Future: Sylius 2.0 New Features
Unveiling the Future: Sylius 2.0 New Features
 
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
Building a General PDE Solving Framework with Symbolic-Numeric Scientific Mac...
 
Folding Cheat Sheet #4 - fourth in a series
Folding Cheat Sheet #4 - fourth in a seriesFolding Cheat Sheet #4 - fourth in a series
Folding Cheat Sheet #4 - fourth in a series
 
Implementing Zero Trust strategy with Azure
Implementing Zero Trust strategy with AzureImplementing Zero Trust strategy with Azure
Implementing Zero Trust strategy with Azure
 
Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)Der Spagat zwischen BIAS und FAIRNESS (2024)
Der Spagat zwischen BIAS und FAIRNESS (2024)
 
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
办理学位证(UQ文凭证书)昆士兰大学毕业证成绩单原版一模一样
 
Hot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort Service
Hot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort ServiceHot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort Service
Hot Sexy call girls in Patel Nagar🔝 9953056974 🔝 escort Service
 
How to Track Employee Performance A Comprehensive Guide.pdf
How to Track Employee Performance A Comprehensive Guide.pdfHow to Track Employee Performance A Comprehensive Guide.pdf
How to Track Employee Performance A Comprehensive Guide.pdf
 
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
Dealing with Cultural Dispersion — Stefano Lambiase — ICSE-SEIS 2024
 
EY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityEY_Graph Database Powered Sustainability
EY_Graph Database Powered Sustainability
 
Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide
Building Real-Time Data Pipelines: Stream & Batch Processing workshop SlideBuilding Real-Time Data Pipelines: Stream & Batch Processing workshop Slide
Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide
 
Unveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML DiagramsUnveiling Design Patterns: A Visual Guide with UML Diagrams
Unveiling Design Patterns: A Visual Guide with UML Diagrams
 
BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASE
BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASEBATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASE
BATTLEFIELD ORM: TIPS, TACTICS AND STRATEGIES FOR CONQUERING YOUR DATABASE
 
Software Project Health Check: Best Practices and Techniques for Your Product...
Software Project Health Check: Best Practices and Techniques for Your Product...Software Project Health Check: Best Practices and Techniques for Your Product...
Software Project Health Check: Best Practices and Techniques for Your Product...
 
Recruitment Management Software Benefits (Infographic)
Recruitment Management Software Benefits (Infographic)Recruitment Management Software Benefits (Infographic)
Recruitment Management Software Benefits (Infographic)
 
MYjobs Presentation Django-based project
MYjobs Presentation Django-based projectMYjobs Presentation Django-based project
MYjobs Presentation Django-based project
 
Introduction Computer Science - Software Design.pdf
Introduction Computer Science - Software Design.pdfIntroduction Computer Science - Software Design.pdf
Introduction Computer Science - Software Design.pdf
 

Conceptos Avanzados 1: Motores de Almacenamiento

  • 1. Code ruben20 gets you a 20% discount off the list price. 8 November 2017 London, UK Intercontinental at the 02
  • 2. Conceptos Avanzados : Parte 1 Motores de Almacenamiento Rubén Terceño Senior Solutions Architect, EMEA @rubenTerceño Alejandro Mancilla Senior Solutions Architect, LATAM @alxmancilla
  • 3. 3 Concpetos Avanzados • Continuación de Concptos Básicos: Una Introducción a NoSQL y MongoDB • Cubrimos temas más avanzados: – Mototres de Almacenamiento • Cuántos existen y cuál esocger – Aggregation Framework • Como ejecutar analítica avanzada en la propia base de datos – Conector de BI • Cómo crear visualizaciones y reportes a partir de datos de MongoDB – Seguridad • Cómo volver inexpungnable nuestro despliegue de MongoDB
  • 7. 7 Storage Engine API • Arrived with MongoDB 3.0 (March 2015) • Two storage engines initially supported – Wired Tiger – MMAPV1 • MongoDB 3.2 (Dec 2015) – made Wired Tiger the default storage engine – added the encrypted storage engine • MongoDB 3.2.6 – In-memory storage engine
  • 8. 8 MMAPV1 • Memory mapped, used MMAP to map pages to memory • The original MongoDB storage engine • Collection level locking • Refactored MongoDB 2.6 code base • Fast for reads, slow for writes. • Ultra fast for updates. • Can't utilize the memory and core footprint of modern server architectures • Was still the default storage engine in 3.0
  • 9. 9 Wired Tiger • Created by founders of BerkeleyDB • Designed for modern server architectures (high memory, high core count) • Uses a "lock free" architecture to minimise locks that are held • Use MVCC (multi-version concurrency control) to maximise the ability for readers to access data consistently • Designed to be a "database toolkit" • Has internal support for row stores, column stores, LSM trees, transactions (not all these are used by MongoDB) • Is the basis of the encrypted and in-memory storage engines
  • 11. 11 Wired Tiger Cache • Starting in 3.4, the WiredTiger internal cache, by default, will use the larger of either: – 50% of RAM minus 1 GB, or – 256 MB • Cache does not represent the total memory footprint of the server • Keeping data in the cache really improves performance
  • 12. 12 Wired Tiger Compression Enron Email Corpus http://mongodb-enron-email.s3-website-us-east-1.amazonaws.com/ About 0.5m messages
  • 13. 13 Wired Tiger Write Performance Report https://www.mongodb.com/collateral/comparative-benchmarks-mongodb-vs-couchbase-vs-cassandra
  • 14. 14 In Memory • --storageEngine in-Memory • Designed for low, consistent latency • Dataset must fit in memory • By default will allocate 50% of RAM minus 1GB • Can configure with --inMemorySizeGB to reduce or increase • Exceeded memory error: "WT_CACHE_FULL: operation would overflow cache"
  • 16. 16 Encrypted Storage Engine • Built on the Wired Tiger Storage engine • Supports KMIP - Key Management Interoperability Protocol – https://en.wikipedia.org/wiki/Key_Management_Interoperability_Protocol • Start server with --enableEncryption • Essentially a variant on the WT storage engine as opposed to a storage engine in its own right • The KMIP key is used to generate internal keys to encrypt the data
  • 17. 17 Example Mixed Deployment SecondarySecondary Primary SecondarySecondary Hidden Disk Replicas Visible (Votable) in memory replicas
  • 18. 18 When To Use • Default is Wired Tiger : Use this and you’ll be right most of the times. • In-Memory : For low latency read/write operations where long term durability is less of an issue – Cache is a typical use case • Encrypted : If you data is sensitive or you need to certify your stack against HIPAA, FIPS or SOC-2 • Can mix and match • Easy to switch • But – if you are building mixed mode cluster please talk to us
  • 20. Code ruben20 gets you a 20% discount off the list price. 8 November 2017 London, UK Intercontinental at the 02