Python and riak a perfect couple for building
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Riak is a distributed database that provides features like 100% uptime, infinite scalability, fault tolerance and low latency. It uses a tunable Consistency-Availability-Partition tolerance (CAP) model and works well with Python. The Python client makes it simple to connect to Riak, create and store objects in buckets, and retrieve data. Riak is suitable for applications that need horizontal scaling and strong consistency for huge datasets, while remaining easy to develop and operate.
![RIAK CLIENT VARIATIONS
RiakClient()
RiakClient(protocol='http', host='127.0.0.1', http_port=8098)
RiakClient(nodes=[{'host':'127.0.0.1','http_port':8098}])
Nodes are the remote systems or virtual containers running
Riak Servers . When your data size is increasing grow your
data horizontally by allocating more nodes to cluster](https://image.slidesharecdn.com/pythonandriak-aperfectcoupleforbuilding-150923184650-lva1-app6892/85/Python-and-riak-a-perfect-couple-for-building-25-320.jpg)
![RIAK SEARCH
Riak Search 2.0 is an integration of Solr (for indexing and
querying) and Riak (for storage and distribution).It has
search capability on distributed riak servers
results = client.fulltext_search('famous', 'name_s:Lion*')
print results
print results['docs']
RIAK MAP REDUCE](https://image.slidesharecdn.com/pythonandriak-aperfectcoupleforbuilding-150923184650-lva1-app6892/85/Python-and-riak-a-perfect-couple-for-building-26-320.jpg)
Python and riak a perfect couple for building
- 1. PYTHON AND RIAK DB A PERFECT COUPLE FOR HUGE SCALE DISTRIBUTED COMPUTING twitter Github @Narenarya3 @narenaryan CORRECT WITH GRAMMARLY IGNORE
- 2. WHAT RIAK CAN DO? Riak is a database that helps any business by supporting these 4 features 1. 100% uptime 2. Infinite scale* 3. Fault recovery 4. Low latency
- 3. WHY CARE FAULT TOLERANCE? Companies rely on data to power their day-today operations. Even minutes of application downtime can mean lost sales, a poor user experience, and a bruised brand.This can add up to millions in lost revenue
- 4. NEVER LOSE A CUSTOMER IN T BUSINESS DUE T LATENCY
- 5. WHAT EXACTLY RIAK IS? Different than traditional relational databases and other “NoSQL” (non-relational) databases, Riak offers benefits of enormous availability, replication and monitoring – all in a highly distributed deployment Built on Erlang for rock solid stability Open source implementation of Dynamo paper by Amazon
- 6. NO 2:00AM EMERGENCY CALLS FOR AN ENGINEER
- 7. DISTRIBUTED DATABASES Data distrbution is achieved through two things. Replication Partition
- 8. Replication
- 9. Partition
- 10. CAP THEOROM Brewer's CAP Theorom states that CAP loosely states that you can have a C (consistent), A (available), or P (partition- tolerant) system, but you can only choose any 2 of them at a particular time. Consistency + Partition Tolerance or Availability + Partition Tolerance
- 11. Riak’s solution is based on Amazon Dynamo’s novel approach of a tunable AP system. Riak has a two knob theory which sets both levels of availlability and consistency. RIAK'S TUNABLE CAP PARAMETERS Level of Availability Level of Consistency
- 12. RIAK N-R-W STRATEGY 1. N - No of nodes to replicate data 2. R - No of nodes to be read to confirm a successful read 3. W - No of nodes to write to confirm a successful write
- 13. N-R-W
- 16. DO YOU KNOW, RIAK IS BASE Basically Available Soft-state Eventually consistent Durable
- 17. WHY PYTHON? FUN | POWER | LOVE | ZILLION REASONS
- 18. I LOVE PYTHON because of it's 1. Expressive power 2. Simplicity 3. Multi domain expertise 4. Mammoth library base more than that....
- 19. Python is in first three clients Riak 1.0 supported. DOES RIAK HAS A PYTHON CLIENT Yes, Riak has six official clients for Major programming languages.
- 21. 4 SIMPLE METHODS TO START 1. RiakClient 2. bucket 3. new 4. store
- 22. BASIC PYTHON CLIENT METHODS RiakClient - creates a client connnection to Database bucket - Creates a bucket if not exists, else uses it new - creates a new key-value data pair store - Stores key-value pair in database
- 23. TWO MORE METHODS TO COMPLETE SIMPLICITY get - Fetches a bucket data row using key get_data - Fetches value associated for that key
- 24. SEE HOW CODE WORKS import riak client = riak.RiakClient() bucket = client.bucket('developers') naren = user_bucket.get('python_developer_1') naren_dict = naren.get_data()
- 25. RIAK CLIENT VARIATIONS RiakClient() RiakClient(protocol='http', host='127.0.0.1', http_port=8098) RiakClient(nodes=[{'host':'127.0.0.1','http_port':8098}]) Nodes are the remote systems or virtual containers running Riak Servers . When your data size is increasing grow your data horizontally by allocating more nodes to cluster
- 26. RIAK SEARCH Riak Search 2.0 is an integration of Solr (for indexing and querying) and Riak (for storage and distribution).It has search capability on distributed riak servers results = client.fulltext_search('famous', 'name_s:Lion*') print results print results['docs'] RIAK MAP REDUCE
- 27. ARCHITECTURE Riak has a very good support for map-reducing of big data
- 28. WHAT WE ARE GAINING The advantages of using Riak and Python are: Fast and easy setup Developer friendly stack Less operational cost Horizontal scaling on demand Rock solid consistency Now Flask and Django projects can scale on huge data
- 29. WHERE YOU SHOULD NOT USE RIAK? You should not use Riak If you have average sized data needs. If you are nostalgic about SQL and queries IF YOU DON'T HAVE ANY PROBLEM NOW
- 30. WHERE YOU SHOULD USE RIAK?
- 31. MUCH MORE Riak Book Riak DB Client libraries Python and RiakDB
- 32. THANK YOU NARENARYA@LIVE.COM - - - @Narenarya3 Source code for this slides Website