Back to Basics Spanish 4 Introduction to sharding
•Download as PPTX, PDF•
0 likes•1,128 views
Cómo MongoDB amplía el rendimiento de las operaciones de escritura y maneja grandes tamaño de datos Cómo crear un sharded cluster básico Cómo elegir una clave de sharding
Recommended
More Related Content
What's hot
What's hot (20)
Similar to Back to Basics Spanish 4 Introduction to sharding
Similar to Back to Basics Spanish 4 Introduction to sharding (20)
More from MongoDB
More from MongoDB (20)
Recently uploaded
Recently uploaded (20)
Back to Basics Spanish 4 Introduction to sharding
- 2. June 20-21, 2017 Chicago, IL Chicago, IL MongoDB World is where the world’s fastest growing database community comes to connect, explore, and learn.
- 3. Back to Basics 2017: Webinar 4 Sharding Rubén Terceño Senior Solutions Architect, EMEA ruben@mongodb.com @rubenTerceno Alejandro Mancilla Senior Solutions Architect, LATAM alejandro.mancilla@mongodb.com @alxmancilla
- 5. Agenda del Curso Date Time Webinar 25-Abril-2016 16:00 CEST Introducción a NoSQL 3-Mayo-2016 16:00 CEST Mi primera aplicación MongoDB 9-Mayo-2016 16:00 CEST Introducción a los ReplicaSets 16-Mayo-2016 16:00 CEST Introducción al Sharding 16:00 CEST = 14:00 UTC = 11:00am Argentina / Uruguay = 9:30am Venezuela/Chile = 9:00am Colombia / Ecuador / México
- 6. Resumen de los webinars 1 a 3 • ¿Porqué existe NoSQL? • Características clave de MongoDB • Instalación y creación de bases de datos y colecciones • Operaciones CRUD, Índices y explain() • Replicación de datos en MongoDB • MongoDB Atlas y Compass
- 7. Agenda de hoy • ¿Qué es eso de Sharding? ¿Lo necesito? • La arquitectura de un sharded cluster • Restricciones en un sharded cluster • ¿Cómo funciona en la práctica?
- 10. Sharding = Horizontal Scaling mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27017 mongod 27017 mongod 27017 mongod 27017 mongod 27017 mongod 27017 Shard
- 11. Introducing the Query Router mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongos 27017 Shard mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27018
- 12. Introducing the Config Servers config 27019 mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27018 config 27019 mongos 27017 Shard mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27018 mongod 27018 config 27019
- 14. Construction • Build Cluster • Identify shard key • Sharding happens on individual collections • To shard a collection: sh.shardCollection( "MUGS.members",{"name" : 1 } )
- 15. Sharding key • Sharding key is the way MongoDB partition collections. • The range of the sharding key is split in several chunks. • The chunks are distributed evenly among the available shards
- 16. Selecting a sharding key • Probably the most influential decision on performance • A good sharding key has: • High cardinality • Evenly distributed frequency • A non-monotonic creation rate • And much more important: is used on queries. • Limitations • Sharding key is immutable • Sharding key values are immutable • Sharding key can’t be a multikey, geospatial or text index
- 17. Config servers and mongos • Config servers store metadata (chunk distribution and location) • They can be configured as a replica set from version 3.2 (CSRS) • Up to 50 config servers • Hardened failover • mongos acts as query routers • mongos keep a local copy of config server information • mongos can be deployed on the application server
- 18. Sharding, when? • Shard only when needed: • Vertical scalability is not possible anymore • RAM • CPU • IOPS • Concurrency • Depending on the server technology the range to start thinking in sharding is around a few Tb of data.
- 19. Chunk is a Section on the Range
- 20. Chunk Splitting
- 21. How Data Is Distributed • Initially 1 chunk • Default max chunk size: 64mb • MongoDB automatically splits & migrates chunks when max reached
- 23. Acquiring The Balancer Lock
- 24. Moving The Chunk
- 26. Clean Up
- 27. Routing Requests - Targeted
- 28. Routing Requests – Non-Targeted
- 30. Resumen • Sharding = Horizontal Scalability • MongoDB automatically balances the cluster • Shards can be added dynamically to a live system • Rebalancing happens in the background • Shard key partitions the content • Shard key is immutable • Shard key can route queries to a specific shard • Queries without a shard key are sent to all members • Each member process its part in parallel.
- 31. What's Next? • Sign up for an online course: https://university.mongodb.com/ • Join a MUG: https://www.meetup.com/pro/mongodb/
- 32. Próximo Webinar ¿¿Conceptos Avanzados?? • Nos quedan muchas cosas por compartir • Índices Geográficos y de Texto Libre • Seguridad • Conectores de BI y Big Data • Motores de Almacenamiento • Y mucho más… • Manténgase atento: • Denos su opinión, por favor: back-to-basics@mongodb.com
- 33. ¿Preguntas?
Editor's Notes
- Who I am, how long have I been at MongoDB.
- Delighted to have you here. Hope you can make it to all the sessions. Sessions will be recorded so we can send them out afterwards so don’t worry if you miss one. If you have questions please pop them in the sidebar.
- Once chunk size is reached, mongos asks mongod to split a chunk + internal function called splitVector() mongod counts number of documents on each side of split + based on avg. document size `db.stats()` Chunk split is a **logical** operation (no data has moved) Max on first chunk should be 14
- Balancer is running on mongos Once the difference in chunks between the most dense shard and the least dense shard is above the migration threshold, a balancing round starts