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Introduction to Fauna
- 1. Introduction to FaunaDB A Presentation for DB security course at Sharif University of Technology Introduction to FaunaDB 1 Presenters: Ali Alaei Yousef Javaherian Course instructor: Sadegh Dorri Nogoorani January 2022 IN THE NAME OF GOD
- 2. Overview 1. What is FaunaDB? 2. Why FaunaDB? 3. Comparison To Traditional RDBMS 4. A very quick intro to FQL • Structure • Basic CRUD operations • Index Introduction to FaunaDB 2
- 3. What is FauaDB? FaunaDB is a next-generation cloud database that combines the simplicity of NoSQL, without sacrificing the ability to model complex relationships. Introduction to FaunaDB 3
- 4. Why FaunaDB? Introduction to FaunaDB 4 • SQL(safety, security and consistency)+NOSQL(flexibility, productivity and scalability) • Global Serverless database • Web-native GraphQL interface • ACID (Atomicity, Consistency, Isolation, Durability) • Enable you to simplify code, reduce costs and ship faster • Fine-grained security • Multi-Model interface
- 5. Different data modeling • Graph • Relational • Temporal • Document Introduction to FaunaDB 6
- 6. Fauna: best of both the relational and NoSQL worlds Introduction to FaunaDB 7 Feature Description Strong ACID Transactions FaunaDB guarantees 100% ACID transactions across a distributed database cluster. Native Multi-tenancy FaunaDB has built-in quality of service (QoS) capabilities that allow multiple tenants to co- exist without any noisy neighbor issues. FaunaDB is great for SaaS applications. Scalability FaunaDB can scale from a single node install to an enterprise-grade setup across multiple data centers with no downtime. The management of the database is completely transparent to the application. High Availability FaunaDB’s peer-to-peer/masterless architecture provides a seamless response to any node failure or data center outage. Operational Simplicity Operational simplicity is at the core of FaunaDB. Unlike incumbent NoSQL solutions, FaunaDB’s rich cluster management APIs makes cluster setup a breeze. Security FaunaDB provides identity management, row-level access control, transaction auditing, and encryption in motion and encryption at rest coming soon. Document Relational Features FaunaDB supports various application programming languages with built-in drivers. A single query in FaunaDB (FQL) can pull data across documents, relational graph, and temporal datasets.
- 7. Comparison To Traditional RDBMS Introduction to FaunaDB 8
- 8. What does relational mean to different database operators? Introduction to FaunaDB 9
- 9. The relational checklist in FaunaDB Introduction to FaunaDB 10 Feature Description Structure FaunaDB provides the flexibility of NoSQL databases when it comes to schema design. At the same time, like relational databases with indexes and the (soon to be added) class validators, FaunaDB enforces structure and defined access patterns to the data. FaunaDB stores data as documents (rows) in the database. Integrity Fauna DB supports the creation of Primary keys and will soon be able to enforce Foreign keys. Joins FaunaDB supports equi-joins and other set operations like union, intersect, minus, etc. across classes. Support for outer joins is on the roadmap. Indexes FaunaDB supports the creation of various types of Indexes. Indexes are used to define the access path to data. ACID FaunaDB fully supports transactions and provides strong consistency. Query Language Fauna Query Language (FQL) allows for complex, precise manipulation and retrieval of data stored within FaunaDB. Enterprise Readiness FaunaDB not only solves the problem of scale, but all the problems adjacent to scale like security, compliance, global distribution, consistency, multi-tenancy, and more.
- 10. Postgres vs Fauna Introduction to FaunaDB 11 Postgres Fauna Explanation Row or record Document An individual record in the database. Table Collection A container for documents. Replication Replication Fauna’s replication is semi-synchronous and does not require any operator management. Sharding n/a Fauna does not require the operator to manage sharding or partitioning in any way. Primary key Ref The unique identifier of a document. Foreign key Ref A pointer from one document to another. Index, materialized view Index Fauna merges the concepts of indexes and views. Indexes must be explicitly referenced, similar to the concept of hinting. Transaction Transaction Both Postgres and Fauna support ACID transactions. Schema, database Database Both Postgres and Fauna have a concept of logical databases that include schema (also known as DDL) records describing the collections, indexes, and security properties of the included records. Stored procedure, user-defined function Function Fauna supports user-defined functions written in FQL.
- 11. A very quick intro to FQL Introduction to FaunaDB 12
- 13. Documents(like row in RDMS) Documents: • The smallest units of data in Fauna are schemeless documents • Stored like json • A group of documents create a collections Introduction to FaunaDB 15
- 14. Collection(like table in RDMS) Introduction to FaunaDB 16
- 15. Basic CRUD operations(1/2) Introduction to FaunaDB 17 Replace maybe used too
- 16. Basic CRUD operations (2/2) Introduction to FaunaDB 18
- 17. Index(like views in RDBMS) With indexes you can: enforce unique constraints sort and filter results create computed values from document data Introduction to FaunaDB 19
- 18. References 1. https://docs.fauna.com/fauna/current/ 2. https://auth0.com/blog/what-is-fauna-and-how-does-it-work-with-auth0/ 3. FaunaDB: An architectural overview, Freels, Matt 2018 Introduction to FaunaDB 20
- 19. Thanks! Sayed Ali Alaei Tabatabaei [email protected] [email protected] Introduction to FaunaDB 21