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Huelva, 22nd April 2016
Juan Antonio Roy Couto
basicsbasics

#UHUMongoDB
Twitter Hashtag MongoDB Overview
2

Who am I?
? MongoDB Master
? Financial Software Developer
? Email: juanroycouto@gmail.com
? Twitter: @juanroycouto
? Linkedin: https://www.linkedin.com/in/juanroycouto
? �ݺ�ߣshare: slideshare.net/juanroycouto
? Personal site: http://www.juanroy.es
? Contributor at: http://www.mongodbspain.com
MongoDB Overview
3

? Basic Concepts
? Data Modelling
? Installation Types
? First Steps & CRUD
? Data Analytics With The Aggregation Framework
? Indexing
? Replica Set
? Sharded Cluster
? How To Scale Your App
? Python Driver Overview
Agenda MongoDB Overview
4

Basic Concepts - Concepts MongoDB Overview
? High Availability
? Data Safety
? Automatic Failover
? Scalability
5
? Faster development
? Real time analytics
? Better strategic decisions
? Reduce costs and time to
market

Basic Concepts - Products
https://www.mongodb.com/products/overview
MongoDB Overview
6
? Drivers
? Ops & Cloud Manager
? Compass
? Hadoop & Spark connector
? BI connector
? Pluggable Storage Engine API

Basic Concepts - Characteristics
http://www.mongodbspain.com/en/2014/08/17/mongodb-characteristics-future/
MongoDB Overview
7
? Open Source General Purpose NoSQL Database
? Document Oriented
? Non-Structured Data
? Schemaless
? Security (Authentication & Authorization)
? Document Validation, etc

Basic Concepts - SQL Schema
Design
MongoDB Overview
8
? Customer Key
? First Name
? Last Name
Tables
Customers
? Address Key
? Customer Key
? Street
? Number
? Location
Addresses
? Pet Key
? Customer Key
? Type
? Breed
? Name
Pets

Basic Concepts - MongoDB Schema
Design
MongoDB Overview
9
Customers Collection
? Street
? Number
? Location
Addresses
? Type
? Breed
? Name
Pets
Customers Info
? First Name
? Last Name
? Type
? Breed
? Name

Basic Concepts - JSON Document MongoDB Overview
10
> db.customers.findOne()
{
"_id" :
ObjectId("54131863041cd2e6181156ba"),
"first_name" : "Peter",
"last_name" : "Keil",
"address" : {
"street" : "C/Alcal��",
"number" : 123,
"location" : "Madrid",
},
"pets" : [
{
"type" : "Dog",
"breed" :
"Airedale Terrier",
"name" :
"Linda",
},
{
"type" : "Dog",
"breed" :
"Akita",
"name" :
"Bruto",
}
]

Data Modelling MongoDB Overview
11
1:1 Employee-Resume
? Access frequency
? Documents size
? Data atomicity
1:N City-Citizen
? Two linked collections
from N to 1
N:N Books-Authors
? Two collections linked via
array
1:Few Post-Comments
? One collection with
embedded data
Limits: 16MB/doc

Installation Types - Standalone MongoDB Overview
12
MongoDB
Client
DRIVER
Client
DRIVER
Client
DRIVER

Installation Types - Replica Set MongoDB Overview
13
SecondarySecondary
Primary
Client
DRIVER
Client
DRIVER
Client
DRIVER
Replica Set

Installation Types - Sharded Cluster MongoDB Overview
14
Replica Set
Secondary
Secondary
Primary
Client
DRIVER
Client
DRIVER
Client
DRIVER
Secondary
Secondary
Primary
Secondary
Secondary
Primary
Secondary
Secondary
Primary
mongos mongos mongos
config server
config server
config server
Shard 0 Shard 1 Shard 2 Shard N-1

? Find
? Insert
? Bulk inserts
? Massive Data Load
? Update
? Remove
First Steps & CRUD MongoDB Overview
15

Data Analytics with the
Aggregation Framework
MongoDB Overview
16

Data analytics Tools MongoDB Overview
17
? Internals
? Aggregation Framework
? Map Reduce
? Externals
? Spark
? Hadoop
? Tableau (BI)
? ...

MongoDB Overview
18
Indexing - Types
? _id
? Single
? Compound
? Multikey
? Full Text
? GeoSpatial
? Hashed

MongoDB Overview
19
Indexing - Properties
? Unique
? Sparse
? TTL
? Partial

MongoDB Overview
20
Indexing - Improving Your Queries
.explain()
? queryPlanner
? executionStats
? allPlansExecution

Replica Set
? High Availability
? Data Safety
? Automatic Node Recovery
? Read Preference
? Write Concern
Replica Set
Secondary
Secondary
Primary
MongoDB Overview
21

?Scale out
?Even data distribution across all of the
shards based on a shard key
?A shard key range belongs to only one
shard
?More efficient queries (performance)
Sharded Cluster
Cluster
Shard 0 Shard 2Shard 1
A-I J-Q R-Z
MongoDB Overview
22

Sharded Cluster - Config Servers
?config database
?Metadata:
?Cluster shards list
?Data per shard (chunk ranges)
?...
?Replica Set
MongoDB Overview
23
Replica Set
config server
config server
config server

?Receives client requests and returns
results.
?Reads the metadata and sends the
query to the necessary shard/shards.
?Does not store data.
?Keeps a cache version of the
metadata.
Sharded Cluster - mongos MongoDB Overview
24
Replica Set
DRIVER
Secondary
Secondary
Primary
Secondary
Secondary
Primary
mongos
config
server
config server
config server
Shard 0 Shard N-1

How To Scale Your App - Shard Key MongoDB Overview
25
?Monotonically Increasing
?Easy divisible?Randomness?Cardinality

How To Scale Your App
Sharding a Collection
MongoDB Overview
Shard 0 Shard 1 Shard 2 Shard 3
mongos
Client
Migrations

How To Scale Your App - Pre-Splitting MongoDB Overview
27
Useful for storing data directly
in the shards (massive
data loads).
Avoid bottlenecks.
MongoDB does not need to
split or migrate chunks.
After the split, the migration
must be finished before
data loading.
Cluster
Shard 0 Shard 2Shard 1
Chunk 1
Chunk 5
Chunk 3
Chunk 4
Chunk 2

How To Scale Your App
Tag-Aware Sharding
MongoDB Overview
28
Tags are used when you want to pin ranges to a specific shard.
shard0
EMEA
shard1
APAC
shard2
LATAM
shard3
NORAM

Python Driver - Overview MongoDB Overview
29
script1.py
import pymongo
from pymongo import MongoClient
connection = MongoClient(��localhost��,27017)
db = connection.test
customers = db.customers
item = customers.findOne()
print item[��firstname��]
$python script1.py

Python Driver - CRUD MongoDB Overview
30
PyMongo Server
Finding
find find
find_one findOne
Inserting
insert_one insert
insert_many bulk
Updating
update_one update
update_many update
replace_one update
Deleting
delete_one remove
delete_many remove

Python Driver - CRUD Examples MongoDB Overview
31
Insert
pedro = { ��firstname��:��Pedro��, ��lastname��:��Garc��a�� }
maria = { ��firstname��:��Mar��a��, ��lastname��:��P��rez�� }
doc = [ pedro, maria ]
customers.insert_many([doc])
Update
customers.update_one({��_id��:customer_id},
{$set:{��city��:��Huelva��}})
Remove
customers.delete_one( { ��_id�� : customer_id } )

Python Driver - Cursors And Exceptions MongoDB Overview
32
import pymongo
import sys
from pymongo import MongoClient
connection = MongoClient(��localhost��,27017)
db = connection.test
customers = db.customers
query = { ��firstname�� : ��Juan�� }
projection = { ��city�� : 1, ��_id�� : 0 }
try:
cursor =
customers.find(query,projection)
exception Exception as e:
print ��Unexpected error: ��, type(e), e
for doc in cursor:
print doc[��city��]

Resources MongoDB Basics
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? Official MongoDB Documentation
? https://docs.mongodb.org/manual/
? Posts via MongoDB Spain
? http://www.mongodbspain.com/en/
? http://www.mongodbspain.com/es/
? Cheat Sheet
? http://www.mongodbspain.com/es/2014/03/23/mongodb-cheat-sheet-
quick-reference/
? The Little MongoDB Book
? http://openmymind.net/mongodb.pdf

Questions?
Questions? MongoDB Basics
34

Thank you for your attention!
MongoDB Workshop
Huelva, 22nd April 2016

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