MongoDB for Developers
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The document is a presentation on MongoDB for developers by Ciro Donato Caiazzo. It introduces MongoDB as a non-relational database for storing JSON documents with a focus on speed, performance, flexibility and scalability. It discusses that MongoDB uses collections for storing groups of data like tables in a SQL database. It also covers how to start with MongoDB by downloading, installing, and running the mongod process before accessing the mongo shell to perform operations like insert, find, update and remove on databases and collections.
![{
"Name" : "Ciro Donato",
"Surname": "Caiazzo",
"I am": "Software Engineer",
"Working in": "SCAI Consulting",
"With Title": "Senior Developer Consultant",
"ContactMethods" : [
{"Type": "Twitter", "Value": "@CyrusD87"},
{"Type": "Linkedin", "Value": "Ciro Donato Caiazzo"},
{"Type": "Personal e-mail", "Value": "cd.caiazzo@gmail.com"},
{"Type": "Job e-mail",
"Value": "ciro.caiazzo@scai-consulting.grupposcai.it"}
],
"Some passions": ["Tecnology","Innovation","Agile","Big data"]
}](https://image.slidesharecdn.com/mongodb-150722052256-lva1-app6892/85/MongoDB-for-Developers-2-320.jpg)
![ MongoDB is a non relational datastore for
JSON documents
Written in C++
License GNU AGPL v3.0 (more..)
MongoDBBSON
{
"skills":{
"database":[
{
"name":"Sql",
"years":"7"
},
{
"name":"MongoDB",
"years":"2"
}
]
}
}](https://image.slidesharecdn.com/mongodb-150722052256-lva1-app6892/85/MongoDB-for-Developers-8-320.jpg)
![ Schemaless means that two documents that
don't have the same schema can be stored in
the same collection.
{"_id" : "1", "skill" : {"web": [{"name": "html"}, {"name": "css"}]}}
{"_id" : "2", "skill" : {"database": [{"name": "mongoDB"}, {"name": "sql
server"}]}}
{"_id" : "3", "skill" : {"methodologies": ["scrum","kanban","xp"]}}](https://image.slidesharecdn.com/mongodb-150722052256-lva1-app6892/85/MongoDB-for-Developers-10-320.jpg)
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MongoDB for Developers
- 1. by Ciro Donato Caiazzo Bologna, July 21, 2015 MongoDB for Developers
- 2. { "Name" : "Ciro Donato", "Surname": "Caiazzo", "I am": "Software Engineer", "Working in": "SCAI Consulting", "With Title": "Senior Developer Consultant", "ContactMethods" : [ {"Type": "Twitter", "Value": "@CyrusD87"}, {"Type": "Linkedin", "Value": "Ciro Donato Caiazzo"}, {"Type": "Personal e-mail", "Value": "[email protected]"}, {"Type": "Job e-mail", "Value": "[email protected]"} ], "Some passions": ["Tecnology","Innovation","Agile","Big data"] }
- 4. NoSQL developed in response to a rise in the volume of data… …with a focus on speed, performance, flexibility and scalability… … for the new modern applications.
- 5. NoSQL data model addresses issues that relational model cannot achieve (ex. It manage Large volumes of structured, semi- structured, and unstructured data, etc…) NoSQL databases are more scalable and provide superior performance
- 7. What is?
- 8. MongoDB is a non relational datastore for JSON documents Written in C++ License GNU AGPL v3.0 (more..) MongoDBBSON { "skills":{ "database":[ { "name":"Sql", "years":"7" }, { "name":"MongoDB", "years":"2" } ] } }
- 9. MongoDB uses collections for storing groups of data. A collection can be thought as a table in a relational database. MongoDB Collection 2 Collection 3 Collection 1 RDBMS Table 1 Table 2 Table 3
- 10. Schemaless means that two documents that don't have the same schema can be stored in the same collection. {"_id" : "1", "skill" : {"web": [{"name": "html"}, {"name": "css"}]}} {"_id" : "2", "skill" : {"database": [{"name": "mongoDB"}, {"name": "sql server"}]}} {"_id" : "3", "skill" : {"methodologies": ["scrum","kanban","xp"]}}
- 11. MongoDB does not support: Joins; Transactions across multiple collections But each operation is atomic at level of single document Reason?? Scalability!
- 12. In MongoDB, documents stored in a collection require a unique _id field that acts as a primary key ObjectId is a 12-byte BSON type, constructed using: a 4-byte value representing the seconds since the Unix epoch, a 3-byte machine identifier, a 2-byte process id, and a 3-byte counter, starting with a random value.
- 13. What does it happen for date after the 2038? (Year 2038 problem) On Unix systems, dates are represented as seconds from 1 January 1970 and usually stored in the C time_t type. MongoDB does not use time_t to represent dates internally so do not suffer from this problem http://api.mongodb.org/python/2.1.1/faq.html
- 14. Where to start?
- 15. InWindows Download and install MongoDB https://www.mongodb.org/downloads
- 16. Include MongoDB (bin) path in the environment variable ‘PATH’ Open Command Prompt and run the following command to create the directories where MongoDB will save the data:
- 17. Run ‘mongod’ And now? Go to the Mongo Shell….
- 18. The mongo shell is an interactive JavaScript shell for MongoDB Run ‘mongo’ command to start mongo shell
- 19. use <your-database-name> The above is supposed to create a database called <your- database-name> but … MongoDB creates databases on- demand. It will get created only when we add something to it db.<your-collection-name>.save(<your-json-document>) The above statement will create a collection called <your- collection-name>.under the database ‘<your-database-name>
- 20. Insert Find
- 21. Find (with filter) FindOne
- 23. Performance
- 24. Indexes support the efficient execution of queries in MongoDB (Default _id, Single Field, Compound Index, Multikey Index, Geospatial Indexes,Text Indexes,Hashed Indexes)
- 25. Aggregation
- 26. Documents enter a multi-stage pipeline that transforms the documents into an aggregated results. http://docs.mongodb.org/manual/core/aggregation-pipeline/
- 27. Map-reduce is a data processing paradigm for condensing large volumes of data into useful aggregated results http://docs.mongodb.org/manual/core/map-reduce/
- 28. Let's go over
- 31. MongoDB for Developers by Ciro Donato Caiazzo Bologna, July 21, 2015
Editor's Notes
- #7: There are other kinds of NoSQL: Geospatial, File System, Object, in-memory
- #9: JSON (Javascript Object Notation) is an open standard format to transmit data between a server and web application.
- #10: A collection contains a set of JSON documents (also with sub-documents)
- #13: Unix epoch starts the 1° of january 1960
- #14: Unix epoch starts the 1° of january 1960
- #17: \data \data\db Are directories where mongoDB save datas (just like schema, collections, log, etc)
- #18: ‘mongod’ is the primary daemon process for the MongoDB system
- #19: Mongo shell by default is connected to schema ‘test’
- #20: The save() method uses either the ‘insert or the ’update’ command If the document does not contain an _id field, then the save() method calls the insert() method. During the operation, the mongo shell will create an ObjectId and assign it to the _id field.
- #22: FindOne() returns only one document that matches the query criteria, if there are multiple documents that satisfy the criterias, the command will return only the first document according to the natural order which reflects the order of documents on the disk.
- #23: justOne (Optional). To limit the deletion to just one document, set to true. Omit to use the default value of false and delete all documents matching the deletion criteria.