Apache CouchDB - PowerPoint PPT Presentation

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Apache CouchDB

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This presentation gives an overview of the Apache CouchDB project. It explains CouchDB architecture in relation to replication, usage, its UI and the platforms it is available for. Links for further information and connecting – PowerPoint PPT presentation

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Title: Apache CouchDB


1
What Is Apache CouchDB ?
  • A document oriented NoSQL database
  • Open sourced / Apache 2.0 license
  • Written in Erlang, JavaScript, C, C
  • Stores documents using JSON
  • Single node or cluster
  • Takes offline first approach / uses bi
    directional replication
  • DB access via HTTP requests

2
How Does CouchDB Work?
  • It provides ACID support (Atomic Consistent
    Isolated Durable)
  • It has a crash-only design
  • No shutdown, just termination
  • CouchDB uses Multi-Version Concurrency Control
    (MVCC)
  • OS crash or power failure
  • Partially flushed updates are simply forgotten
    (or)
  • Surviving copy of previous identical headers
    remains
  • Ensures coherency of all previously committed
    data
  • Crash friendly design

3
Cross Platform
  • Available for
  • Linux / Unix
  • FreeBSD
  • Windows
  • Mac OSX
  • Cloud
  • Mobile ( IOS / Android Lite version )
  • Install from binary or source
  • Install via Docker / Snap
  • Install on Kubernetes

4
CouchDB Replication
  • Synchronise two copies of same database
  • One source and one target database
  • Can be on same or different CouchDB instances
  • Can be one way or bi directional ( Master
    Master )
  • Controlling documents to replicate
  • Local documents never replicated
  • Filter functions to select documents
  • Use Selector Objects
  • A query object to test document
  • For replication

5
CouchDB Cluster
  • CouchDB can be single node or clustered
  • Cluster defined by
  • Number of shards or parts of database (q)
  • Number of document copies / replicas (n)
  • Since V3 default is q2, n3
  • Each database (and secondary index)
  • Split into 2 shards, with 3 replicas per shard
  • For a total of 6 shard replica files

6
CouchDB Cluster
  • Replicas add failure resistance
  • Some nodes can be offline
  • Without everything crashing down
  • n1 - All nodes must be up.
  • n2 - Any 1 node can be down
  • n3 - Any 2 nodes can be down
  • Using default values and a single database
  • q x n 2 x 3 6 nodes
  • A maximum of six nodes
  • Defines maximum nodes for horizontal scaling

7
CouchDB UI
8
CouchDB UI
  • Fauxton CouchDB UI simplifies access
  • Manage cluster or single node
  • Manage CouchDB
  • Databases
  • Active tasks
  • Configuration
  • Replication
  • Users
  • Access documentation
  • Verify CouchDB install

9
CouchDB CAP Theorum
  • CAP Theorum examines
  • Consistency
  • All database clients see the same data, even with
    concurrent updates.
  • Availability
  • All database clients are able to access some
    version of the data.
  • Partition tolerance
  • The database can be split over multiple servers
  • CouchDB provides eventual consistency by
  • By balancing partition tolerance and availability

10
CouchDB CAP Theorum
11
Available Books
  • See Big Data Made Easy
  • Apress Jan 2015
  • See Mastering Apache Spark
  • Packt Oct 2015
  • See Complete Guide to Open Source Big Data
    Stack
  • Apress Jan 2018
  • Find the author on Amazon
  • www.amazon.com/Michael-Frampton/e/B00NIQDOOM/
  • Connect on LinkedIn
  • www.linkedin.com/in/mike-frampton-38563020

12
Connect
  • Feel free to connect on LinkedIn
  • www.linkedin.com/in/mike-frampton-38563020
  • See my open source blog at
  • open-source-systems.blogspot.com/
  • I am always interested in
  • New technology
  • Opportunities
  • Technology based issues
  • Big data integration
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