MongoDB - Introduction
1 like1,045 views
Vagmi Mudumbai introduces themselves and provides an overview of MongoDB. Key points include: - MongoDB is a NoSQL database that uses documents with dynamic schemas, indexing, ad-hoc queries, and embedded documents and arrays. - It stores data in BSON format and supports data types like dates, binary data, and regexes. Complex queries can be performed on fields within documents. - Documents can be inserted, updated, sorted, paginated, and indexed. MapReduce can be used to generate reports from collections.
![Who am I?
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”]};
db.people.save(person);](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-3-320.jpg)
![BSON Storage
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”]};
db.people.save(person);
http://bsonspec.org/
Binary
Supports datatypes like
• Date
• Bindata
• Regexs](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-7-320.jpg)
![Querying
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”],
age:
30,
location:
{city:
“chennai”}};
db.people.save(person);](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-8-320.jpg)
![Querying
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”],
age:
30,
location:
{city:
“chennai”}};
db.people.save(person);
db.people.find({type:
“hacker”});](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-9-320.jpg)
![Querying
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”],
age:
30,
location:
{city:
“chennai”}};
db.people.save(person);
db.people.find({type:
“hacker”});
db.people.find({uses:
“rails”});
//
can
search
within
tags](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-10-320.jpg)
![Querying
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”],
age:
30,
location:
{city:
“chennai”}};
db.people.save(person);
db.people.find({type:
“hacker”});
db.people.find({uses:
“rails”});
//
can
search
within
tags
db.people.find({age:
{$gt:
25}});
//
can
do
mathematics](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-11-320.jpg)
![Querying
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”],
age:
30,
location:
{city:
“chennai”}};
db.people.save(person);
db.people.find({type:
“hacker”});
db.people.find({uses:
“rails”});
//
can
search
within
tags
db.people.find({age:
{$gt:
25}});
//
can
do
mathematics
db.people.find({“location.city”:”chennai”});
//can
search
//
within
docs](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-12-320.jpg)
![Querying
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”],
age:
30,
location:
{city:
“chennai”}};
db.people.save(person);
db.people.find({type:
“hacker”});
db.people.find({uses:
“rails”});
//
can
search
within
tags
db.people.find({age:
{$gt:
25}});
//
can
do
mathematics
db.people.find({“location.city”:”chennai”});
//can
search
//
within
docs
db.people.find().sort({age:1}).skip(10).limit(10)
//pagination](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-13-320.jpg)
![Indexing
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”]};
db.people.save(person);
db.people.ensureIndex({“type”:1});
db.people.ensureIndex({“uses”:1});
db.people.getIndexes();
//
returns
a
list
of
indexes
No different from a standard database
Can index on multiple fields
Can index into sub documents and arrays
_id is automatically indexed](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-14-320.jpg)
![Updates
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”],
age:
30,
location:
{city:
“chennai”}};
db.people.save(person);](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-15-320.jpg)
![Updates
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”],
age:
30,
location:
{city:
“chennai”}};
db.people.save(person);
var
p
=
db.people.findOne({type:
“hacker”});
p.age
=
29;
db.people.save(p);
//updates
the
above
record](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-16-320.jpg)
![Updates
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”],
age:
30,
location:
{city:
“chennai”}};
db.people.save(person);
var
p
=
db.people.findOne({type:
“hacker”});
p.age
=
29;
db.people.save(p);
//updates
the
above
record
var
p
=
db.people.findOne({type:
“hacker”});
db.people.update({_id:
p._id},{$inc:{age:1}});](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-17-320.jpg)
![Updates
var
person
=
{name:
“Vagmi
Mudumbai”,
type:
”hacker”
hacks_on:
[“artha42”,”chennaigeeks”],
uses:
[“mongodb”,”rails”,”sinatra”],
age:
30,
location:
{city:
“chennai”}};
db.people.save(person);
var
p
=
db.people.findOne({type:
“hacker”});
p.age
=
29;
db.people.save(p);
//updates
the
above
record
var
p
=
db.people.findOne({type:
“hacker”});
db.people.update({_id:
p._id},{$inc:{age:1}});
var
p
=
db.people.findOne({type:
“hacker”});
db.people.update({_id:
p._id},
{$inc:{age:1},$push:{uses:
“vim”}});](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-18-320.jpg)
![Replication (Replica Sets)
db@node1
/opt/mongo/bin$
./mongod
‐‐replSet
myRS
db@node2
/opt/mongo/bin$
./mongod
‐‐replSet
myRS
db@node3
/opt/mongo/bin$
./mongod
‐‐replSet
myRS
db@dev
/opt/mongo/bin$
./mongo
node1
MongoDB
shell
version:
1.6.0
connecting
to:
node1/test
>
config
=
{_id:
“myRS”,
members
:
[
{_id:
0,
host:
“node1”},
{_id:
0,
host:
“node2”},
{_id:
0,
host:
“node3”}]}
>
rs.initiate(config);
>
rs.status()](https://image.slidesharecdn.com/mongointro-101017074356-phpapp02/85/MongoDB-Introduction-32-320.jpg)
MongoDB - Introduction
- 1. Introducing Vagmi Mudumbai ([email protected])
- 2. Who am I?
- 4. A bit about NoSQL
- 5. Indexing Ad-ho c Quer tor age ies SO NS B M ap/Reduce -place U pdates In Auto Shard Repli ing catio n GridFS What is it about
- 6. It makes us a super hero
- 7. BSON Storage var person = {name: “Vagmi Mudumbai”, type: ”hacker” hacks_on: [“artha42”,”chennaigeeks”], uses: [“mongodb”,”rails”,”sinatra”]}; db.people.save(person); http://bsonspec.org/ Binary Supports datatypes like • Date • Bindata • Regexs
- 14. Indexing var person = {name: “Vagmi Mudumbai”, type: ”hacker” hacks_on: [“artha42”,”chennaigeeks”], uses: [“mongodb”,”rails”,”sinatra”]}; db.people.save(person); db.people.ensureIndex({“type”:1}); db.people.ensureIndex({“uses”:1}); db.people.getIndexes(); // returns a list of indexes No different from a standard database Can index on multiple fields Can index into sub documents and arrays _id is automatically indexed
- 19. Map/Reduce { url: “/blog/something”, user_id: ObjectID(‘xxxxxx’), date: “Sat Oct 16 2010 06:30:00 GMT+0530 (IST)” } Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 20. Map/Reduce { url: “/blog/something”, user_id: ObjectID(‘xxxxxx’), date: “Sat Oct 16 2010 06:30:00 GMT+0530 (IST)” } map = function() { day = Date.UTC(this.date.getFullYear(), this.date.getMonth(),this.date.getDate); emit({day: day, user_id: this.user_id},{count: 1}); } Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 21. Map/Reduce { url: “/blog/something”, user_id: ObjectID(‘xxxxxx’), date: “Sat Oct 16 2010 06:30:00 GMT+0530 (IST)” } map = function() { day = Date.UTC(this.date.getFullYear(), this.date.getMonth(),this.date.getDate); emit({day: day, user_id: this.user_id},{count: 1}); } reduce = function(key,values){ var count=0; values.forEach(function(v){ count+=v; } return {count: count} } Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 22. Map/Reduce { url: “/blog/something”, user_id: ObjectID(‘xxxxxx’), date: “Sat Oct 16 2010 06:30:00 GMT+0530 (IST)” } map = function() { day = Date.UTC(this.date.getFullYear(), this.date.getMonth(),this.date.getDate); emit({day: day, user_id: this.user_id},{count: 1}); } reduce = function(key,values){ var count=0; values.forEach(function(v){ count+=v; } return {count: count} } db.pageviews.mapReduce(map,reduce,{out: pageview_results}); Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 23. Map/Reduce (contd) { _id: {day: “Sat Oct 16 2010 00:00:00Z”, user_id: ObjectId(xxx)}, count: 20} Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 24. Map/Reduce (contd) { _id: {day: “Sat Oct 16 2010 00:00:00Z”, user_id: ObjectId(xxx)}, count: 20} map = function() { emit(this,{count: 1}); } Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 25. Map/Reduce (contd) { _id: {day: “Sat Oct 16 2010 00:00:00Z”, user_id: ObjectId(xxx)}, count: 20} map = function() { emit(this,{count: 1}); } reduce = function(key,values){ var count=0; values.forEach(function(v){ count+=v; } return {count: count} } Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 26. Map/Reduce (contd) { _id: {day: “Sat Oct 16 2010 00:00:00Z”, user_id: ObjectId(xxx)}, count: 20} map = function() { emit(this,{count: 1}); } reduce = function(key,values){ var count=0; values.forEach(function(v){ count+=v; } return {count: count} } db.pageview_results.mapReduce(map,reduce, {out: pageview_results_unique}); Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 27. GridFS (in Ruby) Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 28. GridFS (in Ruby) @db = Mongo::Connection.new.db(“chennaigeeks”) @fs = GridFileSystem.new(@db) Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 29. GridFS (in Ruby) @db = Mongo::Connection.new.db(“chennaigeeks”) @fs = GridFileSystem.new(@db) image = File.open(“me.png”) @fs.open(“me.png”,’w’) do |f| f.write image end Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 30. GridFS (in Ruby) @db = Mongo::Connection.new.db(“chennaigeeks”) @fs = GridFileSystem.new(@db) image = File.open(“me.png”) @fs.open(“me.png”,’w’) do |f| f.write image end img = @fs.open(“me.png”,”r”) { |f| f.read } Source: http://cookbook.mongodb.org/patterns/unique_items_map_reduce/
- 32. Replication (Replica Sets) db@node1 /opt/mongo/bin$ ./mongod ‐‐replSet myRS db@node2 /opt/mongo/bin$ ./mongod ‐‐replSet myRS db@node3 /opt/mongo/bin$ ./mongod ‐‐replSet myRS db@dev /opt/mongo/bin$ ./mongo node1 MongoDB shell version: 1.6.0 connecting to: node1/test > config = {_id: “myRS”, members : [ {_id: 0, host: “node1”}, {_id: 0, host: “node2”}, {_id: 0, host: “node3”}]} > rs.initiate(config); > rs.status()
- 35. Any Questions?