Mongo db intro new
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MongoDB is a non-SQL document-oriented database where data is stored in BSON format. It is well-suited for write-intensive applications, geo-spatial queries, flexible schemas where requirements may change, and scaling through sharding. Key advantages include very fast writes, no need for migrations when changing schemas, and built-in support for features like sharding, geospatial indexing, and logging to capped collections.
![geo-spatial indexes
▪ db.collection('places').find(
{loc: {$near: [50,50], $maxDistance: 10}}).](https://image.slidesharecdn.com/mongodbintronew-140116230518-phpapp02/85/Mongo-db-intro-new-10-320.jpg)
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Mongo db intro new
- 2. What is MongoDB? ▪ It’s a no-sql database. ▪ Document Oriented ▪ Data stored as BSON
- 3. Where you should use MongoDB ▪ If your application is write intensive: MongoDB has super-fast writes. – You can use capped collection for logging as well ▪ In built support for geo-spatial indexes. ▪ When the schema is not carved in stone. Really helpful in Agile development.
- 4. Where you should use MongoDB(cont) ▪ No migrations required in MongoDB ▪ In built support for sharding. ▪ Support for many languages
- 5. Faster writes ▪ Fan-out newsfeed
- 6. Faster writes ▪ Fan-out newsfeed. ▪ Foursquare does ~80 checkins/sec(1). ▪ Gotchas – Lock at database level ▪ (1) https://docs.google.com/presentation/d/1q4R3F0AnWN-MQZqbysZ92nZ4_OC7bRzUCWfbmeHHcQQ/pub?start=false&loop=false&delayms=3000&pli=1#slide=id.ga365b3_0_5
- 7. Faster writes ▪ Fan-out newsfeed. ▪ Foursquare does ~80 checkins/sec(1). ▪ Gotchas – Lock at database level ▪ (1) https://docs.google.com/presentation/d/1q4R3F0AnWN-MQZqbysZ92nZ4_OC7bRzUCWfbmeHHcQQ/pub?start=false&loop=false&delayms=3000&pli=1#slide=id.ga365b3_0_5
- 8. Capped collection for logging ▪ Collection == table ▪ Can be time based or size based
- 9. geo-spatial indexes ▪ Place your Domino’s order to the nearest outlet?
- 10. geo-spatial indexes ▪ db.collection('places').find( {loc: {$near: [50,50], $maxDistance: 10}}).
- 11. Flexible schema "_id" : ObjectId("526a55f14162689cbc0c0000"), "first_name" : "First Name 0", "last_name" : "last Name 0", "add" : "Address number is 0", "company" : "company 0", "employee_id" : "0" "_id" : ObjectId("526a55f14162689cbc0c0001"), "first_name" : "First Name 1", "last_name" : "last Name 1", "add" : "Address number is 1", "company" : "company 1", "employee_id" : “1“, “is_external” : “true”
- 12. Flexible schema ▪ In mySQL, extra space for “is_external” as “nil” for most of the rows which leads to the wastage of space. ▪ No need for the migration
- 13. No migration ▪ Migrations are expensive and time consuming. It increase proportionally to the size of your table ▪ How does a migration happen – Create a temp copy of the table with the migration – Delete the old table – Make temp copy permanent
- 15. In-built support for sharding.