SlideShare ist ein Scribd-Unternehmen logo
1 von 35
Putting the Go in MongoDB
Wisdom Omuya
Software Engineer
wisdom@mongodb.com
MongoDB v3.0.0
WHAT TOOLS? tools
downloads.mongodb.org
Import
mongofiles
Export
Monitoring
mongostat
mongotop
Others
bsondump
mongooplog
ROUGH EDGES tools
Mongorestore Concurrency in 2.6
Invalid Documents
● Nested CSV, TSV imports
{
"_id": ObjectId("5542593837096bdf8bbb6d91"),
“name.first”: ”Wisdom”,
”name.last”: ”Omuya"
}
name.first,name.last
Wisdom,Omuya
mongo> db.test.find({“name.first":”Wisdom"})
Fetched 0 record(s) in 0ms
Unretrievable Data
{
"_id": ObjectId("5542593837096bdf8bbb6d91"),
“name.first”: ”Wisdom”,
”name.last”: ”Omuya"
}
REQUIREMENTS tools
Loose Coupling
Shorter Release Cycle
Portability
Concurrent Processing
CPU
General
● Storage engine support
● Wiredtiger, RocksDB, etc
● Backwards compatibility
● Dump and restore BSON
● Import and export JSON
● Excellent support for concurrency
● Runs on all supported platforms
● Easier to write and debug
● Fun!
Why Go?
MONGOIMPORT tools
mongoimport
Mongoimport Architecture
New Mongoimport Flags
--numDecodingWorkers (autodetect to max)
--numInsertionWorkers (default 1)
--batchSize (default 10k)
--numThreads (autodetect to max)
--maintainInsertionOrder (default false)
Input Validation
● No more broken imports, illegal field names
”a”, “b.”
Dot-nesting
● Nested CSV, TSV imports
name.first,name.last
Wisdom,Omuya
{
"_id": ObjectId("55425a3c37096bdf8bbb6d93"),
"name": {
"first": ”Wisdom",
"last": ”Omuya"
}
}
Import/Export Type Fidelity
Write Concern Specificity
● New default w=majority on import/restore/files
o safer, matches what our users assume is
happening
● --writeConcern flag
e.g. ‘{w: 3, j: true, fsync: false, wtimeout: 400}’
Mongoimport Concurrency in 3.0
MONGORESTORE tools
Mongorestore Architecture
New Mongorestore Flags
--numParallelCollections (aka -j default=4)
--numInsertionWorkersPerCollection (default=1)
--batchSize(default 10k)
--numThreads (autodetect to max)
--maintainInsertionOrder (default false)
Mongorestore Concurrency in 3.0
2X speedup
4X speedup
What’s next?
• mongorestore and mongodump now support
compression and archiving
• No need for directories containing BSON files
mongodump -d weather -h localhost --archive --gzip |
mongorestore -h remotehost --archive --gzip
Resources
• Repository:
https://github.com/mongodb/mongo-tools
• Usage Guide:
https://docs.mongodb.org/master/reference/program/
• Issue Tracking:
https://jira.mongodb.org/browse/tools/
THANKS! tools

Weitere ähnliche Inhalte

Was ist angesagt?

Александр Сергиенко, Senior Android Developer, DataArt
Александр Сергиенко, Senior Android Developer, DataArtАлександр Сергиенко, Senior Android Developer, DataArt
Александр Сергиенко, Senior Android Developer, DataArt
Alina Vilk
 

Was ist angesagt? (20)

MongoDB World 2016: From the Polls to the Trolls: Seeing What the World Think...
MongoDB World 2016: From the Polls to the Trolls: Seeing What the World Think...MongoDB World 2016: From the Polls to the Trolls: Seeing What the World Think...
MongoDB World 2016: From the Polls to the Trolls: Seeing What the World Think...
 
Dev Jumpstart: Build Your First App with MongoDB
Dev Jumpstart: Build Your First App with MongoDBDev Jumpstart: Build Your First App with MongoDB
Dev Jumpstart: Build Your First App with MongoDB
 
Attack monitoring using ElasticSearch Logstash and Kibana
Attack monitoring using ElasticSearch Logstash and KibanaAttack monitoring using ElasticSearch Logstash and Kibana
Attack monitoring using ElasticSearch Logstash and Kibana
 
MongoDB in the Middle of a Hybrid Cloud and Polyglot Persistence Architecture
MongoDB in the Middle of a Hybrid Cloud and Polyglot Persistence ArchitectureMongoDB in the Middle of a Hybrid Cloud and Polyglot Persistence Architecture
MongoDB in the Middle of a Hybrid Cloud and Polyglot Persistence Architecture
 
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
 
«Scrapy internals» Александр Сибиряков, Scrapinghub
«Scrapy internals» Александр Сибиряков, Scrapinghub«Scrapy internals» Александр Сибиряков, Scrapinghub
«Scrapy internals» Александр Сибиряков, Scrapinghub
 
A Free New World: Atlas Free Tier and How It Was Born
A Free New World: Atlas Free Tier and How It Was Born A Free New World: Atlas Free Tier and How It Was Born
A Free New World: Atlas Free Tier and How It Was Born
 
Dev Jumpstart: Build Your First App with MongoDB
Dev Jumpstart: Build Your First App with MongoDBDev Jumpstart: Build Your First App with MongoDB
Dev Jumpstart: Build Your First App with MongoDB
 
Sharding
ShardingSharding
Sharding
 
Back to Basics 2017: Introduction to Sharding
Back to Basics 2017: Introduction to ShardingBack to Basics 2017: Introduction to Sharding
Back to Basics 2017: Introduction to Sharding
 
MongoDB's New Aggregation framework
MongoDB's New Aggregation frameworkMongoDB's New Aggregation framework
MongoDB's New Aggregation framework
 
Mongodb beijingconf yottaa_3.3
Mongodb beijingconf yottaa_3.3Mongodb beijingconf yottaa_3.3
Mongodb beijingconf yottaa_3.3
 
Concurrency Control in MongoDB 3.0
Concurrency Control in MongoDB 3.0Concurrency Control in MongoDB 3.0
Concurrency Control in MongoDB 3.0
 
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...
 
NoSQL benchmarking
NoSQL benchmarkingNoSQL benchmarking
NoSQL benchmarking
 
Back to Basics Spanish 4 Introduction to sharding
Back to Basics Spanish 4 Introduction to shardingBack to Basics Spanish 4 Introduction to sharding
Back to Basics Spanish 4 Introduction to sharding
 
Александр Сергиенко, Senior Android Developer, DataArt
Александр Сергиенко, Senior Android Developer, DataArtАлександр Сергиенко, Senior Android Developer, DataArt
Александр Сергиенко, Senior Android Developer, DataArt
 
Monitoramento com ELK - Elasticsearch - Logstash - Kibana
Monitoramento com ELK - Elasticsearch - Logstash - KibanaMonitoramento com ELK - Elasticsearch - Logstash - Kibana
Monitoramento com ELK - Elasticsearch - Logstash - Kibana
 
MongoFr : MongoDB as a log Collector
MongoFr : MongoDB as a log CollectorMongoFr : MongoDB as a log Collector
MongoFr : MongoDB as a log Collector
 
MongoDB - External Authentication
MongoDB - External AuthenticationMongoDB - External Authentication
MongoDB - External Authentication
 

Ähnlich wie Putting the Go in MongoDB: How We Rebuilt The MongoDB Tools in Go

Scaling MongoDB; Sharding Into and Beyond the Multi-Terabyte Range
Scaling MongoDB; Sharding Into and Beyond the Multi-Terabyte RangeScaling MongoDB; Sharding Into and Beyond the Multi-Terabyte Range
Scaling MongoDB; Sharding Into and Beyond the Multi-Terabyte Range
MongoDB
 

Ähnlich wie Putting the Go in MongoDB: How We Rebuilt The MongoDB Tools in Go (20)

Back to Basics, webinar 2: La tua prima applicazione MongoDB
Back to Basics, webinar 2: La tua prima applicazione MongoDBBack to Basics, webinar 2: La tua prima applicazione MongoDB
Back to Basics, webinar 2: La tua prima applicazione MongoDB
 
Scaling MongoDB; Sharding Into and Beyond the Multi-Terabyte Range
Scaling MongoDB; Sharding Into and Beyond the Multi-Terabyte RangeScaling MongoDB; Sharding Into and Beyond the Multi-Terabyte Range
Scaling MongoDB; Sharding Into and Beyond the Multi-Terabyte Range
 
Back to Basics Webinar 2 - Your First MongoDB Application
Back to  Basics Webinar 2 - Your First MongoDB ApplicationBack to  Basics Webinar 2 - Your First MongoDB Application
Back to Basics Webinar 2 - Your First MongoDB Application
 
Back to Basics Webinar 2: Your First MongoDB Application
Back to Basics Webinar 2: Your First MongoDB ApplicationBack to Basics Webinar 2: Your First MongoDB Application
Back to Basics Webinar 2: Your First MongoDB Application
 
Webinaire 2 de la série « Retour aux fondamentaux » : Votre première applicat...
Webinaire 2 de la série « Retour aux fondamentaux » : Votre première applicat...Webinaire 2 de la série « Retour aux fondamentaux » : Votre première applicat...
Webinaire 2 de la série « Retour aux fondamentaux » : Votre première applicat...
 
Building your first app with MongoDB
Building your first app with MongoDBBuilding your first app with MongoDB
Building your first app with MongoDB
 
Architecting Secure and Compliant Applications with MongoDB
Architecting Secure and Compliant Applications with MongoDB        Architecting Secure and Compliant Applications with MongoDB
Architecting Secure and Compliant Applications with MongoDB
 
MongoDB Command Line Tools
MongoDB Command Line ToolsMongoDB Command Line Tools
MongoDB Command Line Tools
 
ココロもつながるオンラインゲーム–アットゲームズ–のMongoDB導入事例
ココロもつながるオンラインゲーム–アットゲームズ–のMongoDB導入事例ココロもつながるオンラインゲーム–アットゲームズ–のMongoDB導入事例
ココロもつながるオンラインゲーム–アットゲームズ–のMongoDB導入事例
 
Back to Basics 2017: Mí primera aplicación MongoDB
Back to Basics 2017: Mí primera aplicación MongoDBBack to Basics 2017: Mí primera aplicación MongoDB
Back to Basics 2017: Mí primera aplicación MongoDB
 
Mongo db dla administratora
Mongo db dla administratoraMongo db dla administratora
Mongo db dla administratora
 
Streaming Data Pipelines with MongoDB and Kafka at ao.com
Streaming Data Pipelines with MongoDB and Kafka at ao.comStreaming Data Pipelines with MongoDB and Kafka at ao.com
Streaming Data Pipelines with MongoDB and Kafka at ao.com
 
MongoDB 101
MongoDB 101MongoDB 101
MongoDB 101
 
MongoDB Basics Unileon
MongoDB Basics UnileonMongoDB Basics Unileon
MongoDB Basics Unileon
 
MongoDB
MongoDBMongoDB
MongoDB
 
moma-django overview --> Django + MongoDB: building a custom ORM layer
moma-django overview --> Django + MongoDB: building a custom ORM layermoma-django overview --> Django + MongoDB: building a custom ORM layer
moma-django overview --> Django + MongoDB: building a custom ORM layer
 
Cracking JWT tokens: a tale of magic, Node.js and parallel computing - Code E...
Cracking JWT tokens: a tale of magic, Node.js and parallel computing - Code E...Cracking JWT tokens: a tale of magic, Node.js and parallel computing - Code E...
Cracking JWT tokens: a tale of magic, Node.js and parallel computing - Code E...
 
Back to Basics: My First MongoDB Application
Back to Basics: My First MongoDB ApplicationBack to Basics: My First MongoDB Application
Back to Basics: My First MongoDB Application
 
Back to Basics 2017 - Your First MongoDB Application
Back to Basics 2017 - Your First MongoDB ApplicationBack to Basics 2017 - Your First MongoDB Application
Back to Basics 2017 - Your First MongoDB Application
 
Get expertise with mongo db
Get expertise with mongo dbGet expertise with mongo db
Get expertise with mongo db
 

Mehr von MongoDB

Mehr von 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...
 

Kürzlich hochgeladen

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Kürzlich hochgeladen (20)

MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

Putting the Go in MongoDB: How We Rebuilt The MongoDB Tools in Go

Hinweis der Redaktion

  1. Don’t say ‘kind of’!
  2. First release for MongoDB tools in Go Propose a thesis: we rewrote it, it's much faster and you'll be a more effective user because of the concurrency and control we've introuced
  3. First release for MongoDB tools in Go We rewrote it, it's much faster and you'll be a more effective user because of the concurrency and control we've introuced
  4. Mongofiles usually files above our 16MB limit
  5. Stat: Collects statistics of your mongod’s; Similar to vmstat or iostat Top: Tracks the amount of time spent per operation on different namespaces
  6. aka, mon-goop-log :)
  7. why couldn't we multithread the old version of the database? 12 core Intel(R) Core(TM) i7-3930K CPU @ 3.20GHz
  8. Old tool didn’t try and prevent you from shooting yourself in foot
  9. Unfindable imports
  10. 24MB -> 6MB In order to parse the query a chunk of the query engine, all of boost We can iterate faster
  11. easier for the community to contribute to the tools easier to iterate separately
  12. Emphasize concurrency and control
  13. quick growth of the team, onboarding
  14. Mongofiles usually files above our 16MB limit
  15. Short anecdote? Tool gains not server gains batch size is # of docs
  16. One design principle is we didn't want to potentially overwhelm a mongodb server when ppl are used to single threaded
  17. As much nesting as you want
  18. Full JSON roundtripping
  19. No concurrency controls in 2.6 23GB <-> 11 collections Emphasize concurrency and control
  20. cheap way of making asynchronous writes
  21. No concurrency controls in 2.6 23GB <-> 11 collections Emphasize concurrency and control
  22. Not write to disk at al -> separate CPU Compressed network archive archive support is not in 3.0, but initially available in 3.1.x