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MongoDB
Introduction
Disclaimer
History
Kevin P. RyanDwight Merriman Eliot Horowitz
History
OCT
2007
FEB
2009
AUG
2013
First Release
History
+4.3k
CUSTOMERS
+85
COUNTRIES
+800
EMPLOYEES
2017
19
COUNTRIES
IN
IN
+30mi
DOWNLOADS
MongoDB Solution
know the proposal
Para quem só sabe usar
martelo todo problema é
um prego!
Characteristics
• NoSQL
• Developer Friendly
• Schemaless
• JSON Document based
• Easy to start
• Implicit structure
• Support many drivers
Comparison with SQL
SQL Terms/Concepts MongoDB Terms/Concepts
DATABASE DATABASE
TABLE COLLECTION
ROW DOCUMENT
COLUMN FIELD
INDEX INDEX
TABLE JOINS EMBEDDED DOCUMENTS AND LINKING
PRIMARY KEY PRIMARY KEY
TRANSACTIONS (COMMIT/ROOLBACK) NA
SCHEMA NA
Indexes
Index Reference
James 1
Lyon 2
Pat 3
Philip 7
Ramel 4
Ramel 6
Ramel 8
Ramel 1000
Rozer 9
Tim 5
... ...
... ...
Row Name Age
1 James 23
2 Lyon 22
3 Pat 20
4 Ramel 23
5 Tim 20
6 Ramel 21
7 Philip 19
8 Ramel 22
9 Rozer 17
... ... ...
... ... ...
1000 Ramel 19
Index player
Indexes
Pro
Faster to get
Cons
Slower writing
WriteConcern
acknowledgements of write operations
level meaning
0 without acknowledgement
1 acknowledgement of standalone or primary
> 1 acknowledgement of defined amount of nodes
majority acknowledgement of majority of nodes
<tag set> acknowledgement of nodes with tag specified
WriteConcern
{
w: "majority",
wtimeout: 500
}
Journaling
level meaning
0 don't wait for persistence on disk
1 wait for persistence on disk
acknowledgements of persistence on disk
Client journal Diskcommits every
100 milliseconds
write operations
intermediate database
WriteConcern & Journaling
{
w: 1,
j: 0,
wtimeout: 500
}
Scalability
&
High Availability
ReplicaSet
ReplicaSet
Sharding
Live Coding
because talking is cheap

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MongoDB - Introduction

Editor's Notes

  1. 1 - Não sou um DBA 2 - Estudo MongoDB há 2 meses
  2. 1 - Trabalhavam na DoubleClick 2 - O Google comprou DoubleClick 3 - Fundaram a 10gen com o expertise adquirido na DoubleClick. A DoubleClick era uma empresa de publicidade, eles atendiam +400k anúncios por segundo, e esse time lutou criando novas soluções de armazenamento que atendessem a demanda, com escalabilidade e agilidade.
  3. Não existe bala de prata. Não existe uma solução em que você armazena os dados de qualquer maneira e recupera-os da maneira mais otimizada. É necessário saber com os dados serão recuperados. SQL surgiu em 1974