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Practical Use of a NoSQL
The document discusses NoSQL databases, particularly focusing on Redis and Cloudant, as alternatives to traditional RDBMS. It highlights the advantages of NoSQL in scalability, availability, and handling specific use-cases like caching, queuing, and geospatial queries. Additionally, it provides an overview of Cloudant's capabilities, including JSON storage, replication, and various query methods suitable for large datasets and operational data.
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Practical Use of a NoSQL
- 1. NoSQL use-cases youcan use today Practical NoSQL Glynn Bird Developer Advocate, IBM Cloud Data Services glynn.bird@uk.ibm.com @glynn_bird
- 2. Agenda • NoSQL vs.SQL • Types of NoSQL • Redis • Cloudant
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- 4. RDBMS • Relational DatabaseManagement Systems • SQL language developed by IBM in the 1970s • RDBMS power lots of IT systems • Oracle, IBM DB2, MySQL, PostgreSQL, etc.
- 5. RDBMS downsides • Scalability • Availability • Price
- 6. NoSQL • NoSQL =“Not Only SQL” • Response to use-cases that an RDBMS is not a good fit • Easier to scale
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- 9. Redis • Key-value store • In-memory storage • Simple data storage structures • Libraries for many programming languages • Available as-a-service through Compose.io ! Auto-failover ! Free daily backups ! Scalable ! Enterprise Edition
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- 12. Simple Log SharingService https://logshare.mybluemix.net/ !
- 13. Redis use-cases • Cache– time-limited data • Pubsub – sharing a data stream with many clients • Queues – distributing work • Leaderboards – sorted sets • Counting – incrementing, unique users • Auto-complete – custom indexes
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- 15. What is ApacheCouchDB? • Free, open-source, NoSQL database • JSON data store • Built for the web - HTTP • RESTful API • It syncs! • http://couchdb.apache.org
- 16. Graphite & Riemann Monitoring Chef Configuration Management rsyslog Federated Logging CollectD Continuous Integration CouchDB JSONstorage, API, Replication Dynamo Clustering, Scaling, Fault Tolerance Lucene Text indexing & Search Haproxy Geo-Load Balancing GeoJSON Geospatial indexing & query Jenkins Continuous Integration
- 17. Cloudant scales • Distributeddatabase • Add nodes to scale • Fault-tolerance • RESTful API
- 18. 18! CRUD – Document Primary Index Secondary Index (view) Search Index GeoSpatial Index Cloudant Query • Direct document look up by _id! • Exists “OOTB”! • stored in a b-tree! • Primary key " doc._id! • Built using MapReduce! • stored in a b-tree! • Key " user- defined field(s)! • Built using Lucene! • FTI: Any or all fields can be indexed! • stored in R*, TPR, KD tree! • Lat/Long coorindates in GeoJSON! • “Mongo-style” querying! • Built natively in erlang! • Use when you want a single document and can find by its _id! • Use when you can find documents based on their _id! • Pull back a range of keys! • Use when you need to analyze data or get a range of keys! • Ex: count data fields, sum/ average numeric results, advanced stats, group by date, etc.! • Ad-hoc queries! • Find documents based on their contents! • Can do groups, facets, and basic geo queries (bbox & sort by distance)! • Complex geometries (polygon, circularstring, etc.) ! • Advanced relations (intersect, overlaps, etc.)! • Ad-hoc queries! • Lots of operators (>, <, IN, OR, AND, etc.)! • Intuitive for people coming from Mongo or SQL backgrounds!
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- 20. Simple Search Service • Free, open-source Bluemix App – install with one click • Upload your .csv or .tsv # Imports data into cloudant # Indexes everything for search # Presents HTTP Search API • Demo! https://developer.ibm.com/clouddataservices/simple-search-service
- 21. Simple Search Service– Architecture
- 22. Simple Search Service– Production Architecture
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- 24. Cloudant Use Cases • Big Data – Large Data Sets • Scalable operational data store • Search – faceted, full-text search • Geospatial – geographic, GIS systems, GeoJSON • Offline-first – replicated data to mobile devices
- 25. Developer Advocate Glynn.Bird@uk.ibm.com developer.ibm.com/ clouddataservices/ Thanks! Glynn Bird Twitter:@glynn_bird www.glynnbird.com !