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![MongoDB stores in BSON
Simple JSON data (stored in BSON):
{
"id": 1,
"jsonrpc": "2.0",
"method": "subtract",
"params": [42, 23]
}](https://image.slidesharecdn.com/mongodbjntu-150623065036-lva1-app6891/75/Mongo-db-19-2048.jpg)
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Mongo db
This document provides an overview of MongoDB, including: a brief history of databases from the 1960s to today's NoSQL databases and cloud computing; how MongoDB stores data in databases, collections of documents, and fields; MongoDB's document model for storing data; and basic operations like installation, running the MongoDB shell, saving and retrieving data, replication, and sharding.
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Mongo db
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- 2. A brief history ●1960s - DBMS ● 1979 - RDBMS ● 1980s - SQL, desktop DBs, Object oriented DBs ● 1990s - Client-Server, OLTP, OLAP ● 2000s - Web based, new SQL, NO SQL DBs, Cloud based
- 3. Internet trend today ●Big users ● Big data ● Big cloud
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- 6. “On day oneof a baby’s life, the amount of data generated is 70 times what is contained in the Library of Congress”
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- 9. The problems withRDBMS Good at space storage at the cost of ● schema design ● data lookup and complex queries ● saving data needs coordination between many tables
- 10. Disruption in DB- for the BIG users, data, and the cloud Source: http://www.mindfiresolutions.com/blog/wp-content/uploads/nosql-plm.png
- 11. NoSql DB ● Efficientdata queries ● Handle large volumes of structured, and unstructured data -- with relative ease ● Simple design ● Easy horizontal elastic scaling ● High performance because of lock free architecture ● Good bye DBAs
- 12. Primary data models ●Document model - MongoDB, CouchDB, MarkLogic ● Graph model - Neo4j, HyperGraphDB, Allegro, Virtuoso ● Key-Value - Redis, Dynamo, Riak, Cache, Project Voldemort ● Column - HBase, Cassandra, Accumulo
- 13. MongoDB “MongoDB (from humongogus)is an open- source no sql document data store.”
- 14. Databases ● With anmongodb instance, there can be many databases (high-level containers) ● each database can have zero or more collections
- 15. Collections ● Containers fordocuments that share one or more indexes ● Equivalent of RDBMS table ● No schema and can have different fields ● Exists within a single DB ● Contains zero or more documents
- 16. Document ● Designed withnotion of “Document”. Some standard encoding like: XML, JSON, BSON, YAML, other binary formats (pdf, word, excel, etc) ● Document is kind of record, limited to 16 MB size ● Contains one or more fields (kind of columns, since fields are document level)
- 17. Recap ● MongoDB ismade up of databases which contain collections. ● A collection is made up of documents. ● Each document is made up of fields. ● Collections can be indexed, which improves lookup and sorting performance. ● When we get data from MongoDB we do so through a cursor whose actual execution is delayed until necessary
- 18. RDBMS equivalent RDBMS MongoDB DatabaseDatabase Table/View Collection Row/Record JSON Document stored as BSON Index Index Join Embedded Document Foreign Key Reference Partition Shard
- 19. MongoDB stores inBSON Simple JSON data (stored in BSON): { "id": 1, "jsonrpc": "2.0", "method": "subtract", "params": [42, 23] }
- 20. With embedded data- easy to query
- 21. Installation and Setup 1.Download from http://www.mongodb.org/downloads 2. Create a data directory, where you want the data to be stored: mkdir data 3. Start mongodb server: <installed path>/bin/mongod --dbpath=data 4. Access http://localhost:28017 (if mongod running with default port on the local machine)
- 22. MongoDB shell Start <installeddir>/bin/mongo
- 23. Save and retrieveusing terminal
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- 26. Some topics todiscuss ● Joins ● Capped collection ● Durability/Journaling ● Indexes ● Sharding ● Replication ● Backup and Restore
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