DynamoDB

Explaining the architecture of AWS DynamoDB

Transcript

1. DynamoDB Pierre Goudjo Exploration of a NoSQL database
2. What is DynamoDB?
3. Amazon DynamoDB Developer Documentation Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability
5. Let’s dive in a little bit
6. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability
7. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability
9. There is no server to manage on DynamoDB
10. NOT REALLY
11. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability
12. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability
13. A NoSQL database is a datastore that doesn’t follow the relational model introduced by Edgar F. Codd in 1970
14. NoRel would have been a more appropriate name
15. So what’s the relational model?
17. TABLE
18. TABLE Row
19. TABLE Row Column
22. Relational Databases also offer ACID guarantees
23. NoSQL defines what the database is not
24. NoSQL comes in multiple flavours
25. Key-Value databases
26. Document-oriented databases
27. Wide column databases
28. Graph databases
29. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability
30. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability
31. Amazon DynamoDB is a fully managed wide- column database service that provides fast and predictable performance with seamless scalability
32. DynamoDB is sometimes referred as a document database
36. What problem DymamoDB is trying to solve?
38. Amazon is experiencing massive outages because their Oracle database could not keep up with the load on the website
39. People couldn't fill up their shopping cart
41. They notice however that most data access where done via primary key
43. Let’s write a database
45. They solved their write contention problem by eschewing the traditional relational model
48. Let’s see how these ideas translate in DynamoDB components and architecture
56. 10GB
57. 10GB
58. O(1) 10GB
59. What to do if I need access via customerID?
60. What to do if I need access via customerID? I would need to “switch” primary key.
61. What to do if I need access via customerID? I would need to “switch” primary key. Indexes come to the rescue
63. What to do if I need customer orders sorted by TotalPrice?
64. What to do if I need customer orders sorted by TotalPrice? I would need to “switch” sort key
65. What to do if I need customer orders sorted by TotalPrice? I would need to “switch” sort key Local indexes come in handy
70. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability
71. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability
72. Recap
73. Single-item actions • PutItem • GetItem • UpdateItem • DeleteItem Actions
74. Multi-item actions • BatchWriteAPI • BatchReadAPI • Query • Scan Actions
75. Transactions • TransactGetItems • TransactWriteItems Actions
76. Extras
77. Amazon DynamoDB Accelerator (DAX)
78. DynamoDB Global Tables
79. DynamoDB Streams Use cases ✴Data aggregation ✴Replication ✴Archiving/Auditing ✴Reporting ✴Noti fi cations/Messaging ✴Search
80. And a lot more • Incremental backup/Restore • Point-in-time recovery • PartiQL • Encryption at rest • Transactions • Item TTL