The document discusses MongoDB operations like inserting, finding, updating, and deleting documents. It provides examples of inserting documents with different data structures like arrays embedded documents. It also demonstrates various find operations with filters, projections, sorting, skipping, limiting results. Operations to count and get distinct values are also covered. The document concludes by discussing how Thoughtbuzz uses MongoDB to store heterogeneous social media data from different sources in a single collection to provide unified analytics without requiring joins.

1. Rohit Kumar
rohit.kumar@tothenew.com
Manish Kapoor
manish.kapoor@tothenew.com

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5. • Not Only SQL
• Schema less
• Support for nested data
• Non transactional
• Support for huge amount of data
• High availability (even while updations)
• Easy implementation of distributed architecture
• Examples: MongoDB, Cassandra, CouchBase,
Redis, Neo4J, HDFS etc.

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9. SQL MongoDB
Table Collection
Row JSON Document

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11. Operations in MongoDB
MongoDB Console mongo
List existing databases show dbs
Use a database ‘test’ use test
List collections in db: show collections /
show tables

12. Operations in MongoDB(cntd..)
db.issue.insert({
"_id" : 1,
"description" : "Your code does not work.",
"priority" : "HIGH"
});

13. Operations in MongoDB(cntd..)
db.issue.insert(
{
"description" : "Your code does not work.",
"screenshot" : {
"url":"www.someurl.com",
"description":"manish's code doesnt work"
}
});

14. Operations in MongoDB(cntd..)
db.issue.insert({
"description" : "Your code does not work",
"assignmentInfo" : [
{
"assignedTo" : "Manish",
"assignedBy" : "Raj"
},
{
"assignedTo" : "Vishal",
"assignedBy" : "Manish"
}
]
})

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19. db.student.find({})
db.student.find({name: ’Raj’})
db.student.find({name: {$in: ['Raj','Tim']}})
Operations in MongoDB(cntd..)

20. Operations in MongoDB(cntd..)
db.student.find({age:{$gt:40}})
db.student.find({name: {$exists: "true"}})
select one student:(db.student.findOne
(criteria))
db.student.findOne({})

21. Operations in MongoDB(cntd..)
db.student.find().sort({_id:-1})
db.student.find().skip(2).limit(3)
Distinct:
Find all distinct cities:
db.student.distinct(“city”)

22. Operations in MongoDB(cntd..)
db.student.find({age:40},{name:1})
Select all fields except name where age = 40
db.student.find({age:40},{name:0})
What should the following query get?
db.student.find({age:40},{name:0, age:1})

23. Operations in MongoDB(cntd..)

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26. Operations in MongoDB(cntd..)
db.student.count({"name":"Pulkit"})

27. Operations in MongoDB(cntd..)

28. Operations in MongoDB(cntd..)

29. Operations in MongoDB(cntd..)

30. Operations in MongoDB(cntd..)
db.student.update({age:{$gt: 20}}, {$set:{age:
30}},{multi:true})
db.student.update({age:{$gt: 20}}, {$set:{age:
30}},{upsert:true})

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33. Operations in MongoDB(cntd..)
db.student.remove({age:{$gt: 50}})
db.student.remove({})

34. Operations in MongoDB(cntd..)

36. ● The Product: Thoughtbuzz is aimed at providing social media
analytics across all popular platforms.
● The Challenge: Pull humongous volumes of data from Social
Platforms using platform specific APIs and provide harmonious
analytics that look uniform across all Platforms.

38. How MongoDB helped us?
● We were able to put heterogeneous data coming from different
sources (Facebook and Twitter) into one collection.
● This collection helped us in providing various data with high
performance as their were no joins required for these queries.
● We saved writing duplicate code for performing similar
operations on multiple collections by using one single
homogeneous collection.

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