introduction to mongo db
TRANSCRIPT
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• 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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SQL MongoDB
Table Collection
Row JSON Document
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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
Operations in MongoDB(cntd..)
db.issue.insert({
"_id" : 1,
"description" : "Your code does not work.",
"priority" : "HIGH"
});
Operations in MongoDB(cntd..)
db.issue.insert(
{
"description" : "Your code does not work.",
"screenshot" : {
"url":"www.someurl.com",
"description":"manish's code doesnt work"
}
});
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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db.student.find({})
db.student.find({name: ’Raj’})
db.student.find({name: {$in: ['Raj','Tim']}})
Operations in MongoDB(cntd..)
Operations in MongoDB(cntd..)
db.student.find({age:{$gt:40}})
db.student.find({name: {$exists: "true"}})
select one student:(db.student.findOne(criteria))
db.student.findOne({})
Operations in MongoDB(cntd..)
db.student.find().sort({_id:-1})
db.student.find().skip(2).limit(3)
Distinct:
Find all distinct cities:
db.student.distinct(“city”)
Operations in MongoDB(cntd..)
db.student.find({age:40},{name:1})
Select all fields except name where age = 40
db.student.find({age:40},{name:0})
What should the following query get?
db.student.find({age:40},{name:0, age:1})
Operations in MongoDB(cntd..)
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Operations in MongoDB(cntd..)
db.student.count({"name":"Pulkit"})
Operations in MongoDB(cntd..)
Operations in MongoDB(cntd..)
Operations in MongoDB(cntd..)
Operations in MongoDB(cntd..)
db.student.update({age:{$gt: 20}}, {$set:{age:30}},{multi:true})
db.student.update({age:{$gt: 20}}, {$set:{age:30}},{upsert:true})
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Operations in MongoDB(cntd..)
db.student.remove({age:{$gt: 50}})
db.student.remove({})
Operations in MongoDB(cntd..)
● 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.
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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