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Mongo db cluster administration and Shredded Databases
The document presents a comprehensive overview of setting up and managing MongoDB clusters, including sharded databases and replication concepts. It covers essential topics such as creating databases, collections, document schemas, query handling, and the architecture of sharded clusters. The presentation also outlines the steps for configuring replica sets and sharding, emphasizing horizontal scaling for data distribution.
Mongo db cluster administration and Shredded Databases
- 1. MongoDB Clusters Shredded Databases Presenter:Abhinav Jha (Software Developer - TMotions Global Pvt. Ltd.)
- 2. MongoDB (Journey tillnow) ● Setting up MongoDB environment. ● Creating Databases, Collections and Documents. ● Document Schema using NF3. ● Creating Queries for manipulating data with Robo 3T.
- 3. Latest News ● Latestversion: Mongo 4.0 ○ https://docs.mongodb.com/manual/release-notes/4.0/ ● For further news and cool stuffs for mongo ○ https://www.mongodb.com/news
- 4. What we willlearn today? ● Architecture of sharded cluster. ● Query handling in sharded cluster. ● Data Distribution Method. ● Replica Sets.
- 5. What is Replication Replicationis a concept of keeping multiple copies of your data. We need replication because you can never assume that all of the servers are always available.
- 6. Standalone Vs ReplicatedSolution Standalone writes data to a single server. Replicated Solution we keep copies of data into different servers.
- 7. How it works. ●Binary Replications - strict consistencies along all the servers since it is based on memory index. ● Statement Based Replications - not bound by operating systems or any machine level dependencies.
- 8. Setting up replicaset Create a config file with the storage, server, port and replica set name.
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- 11. Arbitrary Node (Onlyfor election) rs.addArb("m103.mongodb.university:28000")
- 12. Hidden Node (StoresBackups) cfg = rs.conf() cfg.members[3].votes = 0 cfg.members[3].hidden = true cfg.members[3].priority = 0 rs.reconfig(cfg)
- 13. Sharding If the datagrows to the limit that our server can't handle the data. We use Sharding
- 14. Vertical Sharding ● Addmore RAM, Disk Space or processors. ● Very Expensive ● Cloud base does not allow Vertical scaling
- 15. Horizontal Scaling ● MongoDBallows horizontal scaling. ● Add more machines. ● Distribute the data set across the machines
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- 20. Setup Shard sharding: clusterRole: configsvr replication: replSetName:aj-replicaset net: bindIp: localhost port: 26001 storage: dbPath: /var/mongodb/db/csrs1
- 21. Running mongo instances mongod-f csrs_1.conf mongod -f csrs_2.conf mongod -f csrs_3.conf Connect one of the Server mongo --port 26001
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- 23. Mongos.cfg sharding: configDB: aj-replicaset/localhost:26001,localhost:26002,localhost:26003 net: bindIp: localhost port:26000 processManagement: fork: true sh.status() sh.addShard("m103-repl/192.168.103.100:27012")
- 24. Update Node Configs sharding: clusterRole:shardsvr storage: dbPath: /var/mongodb/db/node1 wiredTiger: engineConfig: cacheSizeGB: .1 net: bindIp: 192.168.103.100,localhost port: 27011 replication: replSetName: aj-replicaset
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- 26. Thanks For YourTime Any Query Please Let Me Know: abhinav.jha@tmotions.com abhinav.jha@haymarket.com