Uploaded on

MongoDB Basic

MongoDB Basic

More in: Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads


Total Views
On Slideshare
From Embeds
Number of Embeds



Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

    No notes for slide


  • 1. MongoDB Ganesh Kunwar
  • 2. Introduction MongoDB is a document database that provides high performance, high availability, and easy scalability. •Document Database: oA record in MongoDB is a document, which is a data structure composed of field and value pairs osimilar to JSON objects
  • 3. Introduction •High Performance oEmbedding makes reads and writes fast. oIndexes can include keys from embedded documents and arrays. oOptional streaming writes (no acknowledgments). •High Availability oReplicated servers with automatic master failover. •Easy Scalability oAutomatic sharding distributes collection data across machines. oEventually-consistent reads can be distributed over replicated servers.
  • 4. Terminology •Database: oA physical container for collection. oEach database gets its own set of files on the file system. oA single MongoDB server typically has multiple databases. •Collection: oA grouping of MongoDB documents. oA collection is the equivalent of an RDBMS table. oA collection exists within a single database. oCollections do not enforce a schema. oDocuments within a collection can have different fields. •Document: oA record in a MongoDB collection and the basic unit of data in MongoDB. oDocument is the equivalent of an RDBMS row. oDocuments are analogous to JSON objects but exist in the database in a more type-rich format known as BSON.
  • 5. Terminology •Field: oA name-value pair in a document. oA document has zero or more fields. oFields are analogous to columns in relational databases. •Embedded documents and linking: oTable Join •Primary Key: oA record‟s unique immutable identifier. oIn an RDBMS, the primary key is typically an integer stored in each row‟s id field. oIn MongoDB, the _id field holds a document‟s primary key which is usually a BSON ObjectId.
  • 6. Data Types •null oNull can be used to represent both a null value and nonexistent field. o{“x”: null} •boolean oused for the values „true‟ and „false‟. o{“x”: true} •64-bit integer •64-bit floating point number o{“x” : 3.14} •string o{“x” : “string”} •object id ounique 12-byte ID for documents o{“x”:ObjectId()}
  • 7. Data Types •date oDate are stored in milliseconds since the epoch. The time zone is not stored. o{“x”:new Date()} •code oDocument can also contain JavaScript code o{“x”: function() {/*.......*/}} •binary data •undefined o{“x”: undefined} •array o{“x”: [“a”, “b”, “c”]} •embedded document oDocument can contain entire documents, embedded as values in the parent document. o{“x”: {“name” : “Your Name”}}
  • 8. MongoDB Commands •Start MongoDB omongo •List All Database oshow databases; •Create and use Database ouse databas_name; •Check current database selected odb •Create New collection odb.createCollection(collectionName); •Show All collections oshow collections •Drop Database odb.dropDatabase(); •Drop Collection odb.collection_name.drop();
  • 9. MongoDB Query •Insert Document >db.collection_name.insert(document) •Example; >db.mycol.insert({ _id: ObjectId(7df78ad8902c), title: 'MongoDB Overview', description: 'MongoDB is no sql database', by: ganesh kunwar, url: '', tags: ['mongodb', 'database', 'NoSQL'], likes: 100 })
  • 10. MongoDB Query •Find() oquery data from collection o> db.COLLECTION_NAME.find() { "_id" : ObjectId("53371ed996322bd29e878e2b"), "title" : "MongoDB Overview", "description" : "MongoDB is no sql database", "by" : "ganesh kunwar", "url" : "", "tags" : [ "mongodb", "database", "NoSQL" ], "likes" : 100 } •Pretty() odisplay the result in formatted way o> db.COLLECTION_NAME.find().pretty() { _id: ObjectId(7df78ad8902c), title: 'MongoDB Overview', description: 'MongoDB is no sql database', by: ganesh kunwar, url: '', tags: ['mongodb', 'database', 'NoSQL'], likes: 100 }
  • 11. MongoDB Query •findOne() oreturns only one document. •And in MongoDB o> db.mycol.find(key1: value1, key2: value2) •OR in MongoDB o> db.mycol.find($or: [{key1: value1}, {key2, value2}] ) •And and OR together o> db.myclo.find(key1: val1, $or: [{key2: value2}, {key3, value3}] )
  • 12. Update •Syntax: o>db.COLLECTION_NAME.update(SELECTIOIN_CRITERIA, UPDATED_DATA) •Example o{ "_id" : ObjectId(5983548781331adf45ec5), "title":"MongoDB Overview"} o>db.mycol.update({'title':'MongoDB Overview'}, {$set:{'title':'New MongoDB Tutorial'}}) o{ "_id" : ObjectId(5983548781331adf45ec5), "title":"New MongoDB Tutorial"}
  • 13. Delete •The remove() method o>db.COLLECTION_NAME.remove(DELLETION_CRITTERIA) •Remove only one o>db.COLLECTION_NAME.remove(DELETION_CRITERIA,1) •Remove All documents o>db.mycol.remove()
  • 14. Projection •selecting only necessary data rather than selecting whole of the data of a document •Syntax o>db.COLLECTION_NAME.find({},{KEY:1}) •Example o>db.mycol.find({},{"title":1})
  • 15. Limiting Records •The Limit() Method oSyntax o>db.COLLECTION_NAME.find().limit(NUMBER) oExample o>db.mycol.find({},{"title":1,_id:0}).limit(2) •MongoDB Skip() Method oaccepts number type argument and used to skip number of documents. oSyntax o>db.COLLECTION_NAME.find().limit(NUMBER).skip(NUMBER) oExample o>db.mycol.find({},{"title":1,_id:0}).limit(1).skip(1)
  • 16. Sorting Records •Ascending order o>db.COLLECTION_NAME.find().sort({KEY:1}) •Descending order o>db.COLLECTION_NAME.find().sort({KEY:-1})
  • 17. MongoDB Backup •Backup Options oMongodump oCopy files oSnapshot disk •Mongodump omongodump --db mongodevdb --username mongodevdb --password YourSecretPwd oDumps collections to *.bson files oMirrors your structure oCan be run in live or offline mode •Mongorestore omongorestore --dbpath /var/lib/mongo --db mongodevdb dump/mongodevdb
  • 18. Questions ?
  • 19. Thank You