NoSQL - what's that

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NoSQL – What’s that?<br />SergejusBarinovas | Microsoft MVP<br />@sergejusb, sergejus.blogas.lt<br />

NoSQL<br />

WHY?<br />

<ul><li>Limited SQL scalability</li></ul>Horizontal partitioning (sharding)<br />Vertical partitioning<br />NoSQL – Why?<b...

<ul><li>Limited SQL availability</li></ul>Master / slave configuration<br />NoSQL – Why?<br />

<ul><li>SQL limitations for storing huge amount of data</li></ul>Key / value / type columns<br />NoSQL – Why?<br />

<ul><li>Limited SQL speed of read/write operations</li></ul>Multiple read replicas<br />NoSQL – Why?<br />

<ul><li>2009, Eric Evans

NoSQL – open source distributed databases, not relational SQL databases

NoSQL – not only SQL

NoSQL->Big Data</li></ul>NoSQL History<br />

<ul><li>The ability to horizontally scale simple-operation throughput over many servers</li></ul>NoSQL Characteristics (sc...

<ul><li>A “weaker” concurrency model than the ACID transactions in most SQL systems</li></ul>NoSQL Characteristics (BASE)<...

<ul><li>Efficient use of distributed indexes and RAM for data storage</li></ul>NoSQL Characteristics (distributed)<br />

<ul><li>The ability to dynamically define new attributes or data schema</li></ul>NoSQL Characteristics (schema-less)<br />

<ul><li>Atomicity – all or nothing

Consistency – state integrity

Isolation – no reads of uncommitted data

Durability – recover committed trans</li></ul>ACID (transactions)<br />

<ul><li>2000, Eric Brewer</li></ul>It is impossible for a distributed computer system to simultaneously provide all three ...

Availability

Partition tolerance</li></ul>CAP Theorem<br />

<ul><li>Basically – partial system failures are OKAvailable

Soft state – inconsistency is OK

Eventual consistency – stale data is OK </li></ul>BASE (eventual consistency)<br />

NoSQL Databases<br />

<ul><li>Key / value store

Document database

Graph database

Columnar database</li></ul>NoSQL Categories<br />

<ul><li><key, value> or Tuple<key, v1,. ., vn>

Simple operations</li></ul>Get<br />Put<br />Delete<br />Key / value store<br />Key<br />Value<br />Byte[]<br />Byte[]<br />

Key / value store<br />Key<br />Value<br />“current_date”<br />2011.01.16<br />“sergejusb”<br />Binary Object<br />“sergej...

<ul><li>Dynamo*

Membase

Voldermort

Redis

Azure Table Storage

Riak</li></ul>Key / value store<br />

Name: Dynamo<br />Created: 2007, Amazon (proprietary)<br />Implementation: ?<br />Distributed: Yes<br />Replication: Multi...

Name: Membase<br />Created: 2010, sponsored by Zinga<br />Implementation: C / C++ / Erlang<br />Distributed: Yes<br />Repl...

Name: Voldemort<br />Created: 2008, LinkedIn<br />Implementation: Java<br />Distributed: Yes<br />Replication: Multiple Se...

Name: Redis<br />Created: 2009, sponsored by VMWare<br />Implementation: C<br />Distributed: No<br />Replication: Master /...

Name: Azure Table Storage<br />Created: 2008, Microsoft<br />Implementation: ?<br />Distributed: Yes<br />Replication: Mul...

Name: Riak<br />Created: 2008, Basho (from Akamai)<br />Implementation: Erlang<br />Distributed: Yes<br />Replication: Mul...

<ul><li>Document == complex object</li></ul>XML<br />YAML<br />JSON / BSON<br /><ul><li>Support for secondary indexes

Schema can be defined at runtime

Optional support for simple querying using Map / Reduce</li></ul>Document database<br />

<ul><li>MongoDB

CouchDB

RavenDB</li></ul>Document database<br />

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