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No SQL Database

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Title: No SQL Database


1
No SQL Database
  • Astharina W 7408040036
  • Archi W 7408040048
  • Mas Dodik 7408040059

2
Outlines
  • Apa itu No Sql Database ?
  • Sejarah dan perkembangan
  • Mengapa Menggunakan No Sql Database
  • Klasifikasi No SQL Database
  • Perbedaan SQL dan No SQL Database
  • Etc.

3
Apa Itu No SQL Database
  • Dapat juga disebut Not Only SQL adalah sistem
    manajemen database alternatif yang berbeda jauh
    dari model tradisional dari sistem manajemen
    database relasional (RDBMS) ataupun sistem
    manajemen database berbasis object(ODBMS).
  • Penyimpanan data ini tidak memerlukan skema
    tabel tetap, biasanya menghindari joins operation
    dan skala horizontal, merupakan open source, cara
    penyimpanannya- pun tidak memerlukan inisialisasi
    terlebih dahulu.
  • Dalam arti luas,cara penyimpanan data yang tidak
    menggunakan sql atau database relasional untuk
    menyimpan data.
  • Di Populerkan oleh website besar seperti Google
    dan Facebook.

4
Sejarah dan Perkembangan NoSql
  • Coined in 1998 by Carlos Strozzi to describe a
    database that did not expose a SQL interface
  • In 2008, Eric Evans reintroduced the term to
    describe the growing non-RDBMS movement
  • Popularized by large web sites such as Google,
    Facebook and Digg
  • http//en.wikipedia.org/wiki/NoSQL_28RDBMS29

5
Sejarah dan Perkembangan NoSql
  • - Perkembangan dari situs media sosial (Facebook,
    Twitter) dengan kebutuhan data yang besar.
  • - Kebutuhan akan penyimpanan data yang besar di
    situs web besar seperti Google, Yahoo ( Banyak
    data yang tidak file ).
  • - Munculnya solusi berbasis cloud seperti Amazon
    S3 (solusi penyimpanan yang sederhana)
  • - Untuk tipe data dinamis dengan seringnya
    perubahan skema.
  • - Komunitas open-source.

6
Sejarah dan Perkembangan NoSql
  • Ada tiga bahasan besar yang mendorong
    perkembangan NoSql
  • BigTable (Google)
  • Dynamo (Amazon)
  • CAP Theorem

7
No Sql Database Karakteristik
  • Large data volumes
  • Googles big data
  • Queries need to return answers quickly
  • Mostly query, few updates
  • Asynchronous Inserts Updates
  • Schema-less
  • ACID transaction properties are not needed
  • BASE transaction
  • CAP Theorem
  • Open source development

8
Transactions ACID Properties
  • Atomic All of the work in a transaction
    completes (commit) or none of it completes
  • Consistent A transaction transforms the
    database from one consistent state to another
    consistent state. Consistency is defined in terms
    of constraints.
  • Isolated The results of any changes made during
    a transaction are not visible until the
    transaction has committed.
  • Durable The results of a committed transaction
    survive failures

9
BASE Transactions
  • Acronym contrived to be the opposite of ACID
  • Basically Available,
  • Soft state,
  • Eventually Consistent
  • Characteristics
  • Weak consistency stale data OK
  • Availability first
  • Best effort
  • Approximate answers OK
  • Aggressive (optimistic)
  • Simpler and faster

10
Keuntungan
  • Cheap, easy to implement (open source)
  • Data are replicated to multiple nodes (therefore
    identical and fault-tolerant) and can be
    partitioned
  • Down nodes easily replaced
  • No single point of failure
  • Easy to distribute
  • Don't require a schema
  • Can scale up and down
  • Relax the data consistency requirement (CAP)

11
NoSQL Products
  • Cassandra
  • CouchDB
  • Hadoop Hbase
  • MongoDB
  • StupidDB
  • Etc.

12
Perbandingan Beberapa Aplikasi NoSQL DataBase
13
Perbandingan Beberapa Aplikasi NoSQL DataBase
14
Perbandingan Beberapa Aplikasi NoSQL DataBase
15
Klasifikasi No Sql Database
  • Discussing NoSQL databases is complicated because
    there are a variety of types
  • Column Store Each storage block contains data
    from only one column
  • Document Store stores documents made up of
    tagged elements
  • Key-Value Store Hash table of keys

16
Klasifikasi No Sql Database
  • XML Databases
  • Graph Databases
  • Codasyl Databases
  • Object Oriented Databases
  • Distributed Peer Stores

17
2 Garis Besar NoSql
  • NoSQL solutions fall into two major areas
  • Key/Value or the big hash table.
  • Amazon S3 (Dynamo)
  • Voldemort
  • Scalaris
  • Schema-less which comes in multiple flavors,
    column-based, document-based or graph-based.
  • Cassandra (column-based)
  • CouchDB (document-based)
  • Neo4J (graph-based)
  • HBase (column-based)

18
Key/Value
  • Pros
  • very fast
  • very scalable
  • simple model
  • able to distribute horizontally
  • Cons
  • - many data structures (objects) can't be easily
    modeled as key value pairs

19
Schema-Less
  • Pros
  • - Schema-less data model is richer than key/value
    pairs
  • eventual consistency
  • many are distributed
  • still provide excellent performance and
    scalability
  • Cons
  • - typically no ACID transactions or joins

20
Perbedaan Dengan Database Relasional
  • Relational
  • Insert data
  • sql "INSERT INTO tbl SET login 'coba1',
    password '0c50a2d250b30bf01aa0fabf782cb448',
    email 'coba1_at_sinaryuda.web.id'"
    mysql_query(sql)
  • No Sql (MongoDB)
  • Insert data
  •  db.mahasiswa.save(namaFadliSaldi,NPM1810901
    5',jurusanSistem Informasi,FakultasIlmu
    Komputer)

21
Perbedaan Dengan Database Relasional
  • SQL Databases
  • Predefined Schema
  • Standard definition and interface language
  • Tight consistency
  • Well defined semantics
  • NoSQL Database
  • No predefined Schema
  • Per-product definition and interface language
  • Getting an answer quickly is more important than
    getting a correct answer

22
Perbedaan Dengan Database Relasional
  • MySQL gt 50 GB Data
  • Writes Average 300 ms
  • Reads Average 350 ms
  • NoSQL gt 50 GB Data
  • Writes Average 0.12 ms
  • Reads Average 15 ms

23
Haruskah Menggunakan No SQL Database ?
  • Untuk kita semua menggunakan database relasional
    seperti biasanya mungkin adalah pilihan yang
    paling tepat.
  • Sistem penyimpanan data menggunakan No Sql
    database cocok untuk aplikasi yang membutuhkan
    data tak terstruktur yang sangat besar,seperti
  • Log Analysis
  • Social Networking Feeds

24
Introducing MongoDB
  • Open source, document-oriented database
  • 10gen supports official drivers for many
    platforms, but not .NET!

25
Introducing MongoDB
  • Documents in a MongoDB database are stored in
    schema-less collections
  • Documents are stored in BSON (Binary JSON)
  • Each item in a collection has a unique (primary)
    key called an ObjectId

26
MongoDB Kelebihan
  • Memberikan primary key secara otomatis
  • Mendukung replikasi yang berguna bagi web yang
    memiliki trafik yang tinggi seperti portal
    berita,forum,blog,dll.
  • Mendukung sharding yang digunakan pada data yang
    sudah mencapai juta giga.
  • Mendukung model pemrograman MapReduce

27
Instalasi mongodb di windows
  • Download the binaries from mongodb.org
  • Extract to Program Files directory (or wherever)
  • Create a directory c\data\db
  • Run mongod.exe from the command line with the
    install switch

28
Mongodb shell
  • Connect to a serverport/database (defaults are
    localhost27017/test )

29
Mongodb shell cntd
  • Insert an item into a collection

30
Mongodb shell cntd
  • Find items in a collection

31
Mongodb shell cntd
  • Update an item in a collection

32
Mongodb shell cntd
  • Remove an item in collection

33
Web References
  • NoSQL -- Your Ultimate Guide to the Non -
    Relational Universe! http//nosql-database.org/l
    inks.html
  • NoSQL (RDBMS)http//en.wikipedia.org/wiki/NoSQL
  • http//www.mongodb.org
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