Cloud Spanner is a fully managed relational database that provides global scale, SQL support, and strong consistency across multiple regions. It is horizontally scalable, provides automatic replication and maintenance, and supports transactions with ACID semantics. Spanner offers high availability, enterprise-grade security with encryption and IAM controls, and supports multiple programming languages through client libraries. Performance scales based on the number of nodes provisioned, with a minimum of 3 nodes recommended for production workloads.

1. Cloud Spanner Simon Su / Cloud GDE

2. Spanner vs. Traditional SQL/NoSQL

3. Spanner introduction
● Global Scale
Horizontally scalable across regions and data centers, from 1 to hundreds or thousands of nodes
● Fully Managed
Database management service means replication and maintenance are automatic
● Relational Semantics
Everything you would expect from a relational database - schemas, ACID transactions, and SQL queries (ANSI
2011)
● Multi Language Support
Client libraries in Java, Go, Python, Node.js and more coming. JDBC driver for connectivity with popular third-party
tools

4. Spanner introduction
● Transactional Consistency
Purpose built for strong, global transactional consistency
● Enterprise Grade Security
Data-layer encryption, IAM integration for access and controls, and audit logging
● Highly Available
Whenever, wherever, your data is highly available

5. Interactive with Cloud Console

6. Create new Spanner instance
Performance guidance
● Each Spanner node can provide up to 10,000 QPS of reads or 2000 QPS
of writes (writing single rows at 1KB data per row), and 2 TiB storage.
● For optimal performance, we recommend provisioning enough nodes to
keep overall CPU utilization under 75%.
● Minimum of 3 nodes recommended for production environments.
● Note that Cloud Spanner performance is highly dependent on workload,
schema design, and dataset characteristics. The performance numbers
above are estimates, and assume best practices are followed.

7. Create Database

8. Database view

9. Data preview

10. Query from GCP web console

11. Spanner SQL Execution Plan

12. Spanner permission control

13. Resize Spanner instance

14. Piece of Code...

15. Small RESTful test with Spanner

16. RESTful result
$ time curl -sS localhost:3000/singer/2 -d firstname=simon -d lastname=su -X POST
$ time time curl -sS localhost:3000/singer/list
See: https://github.com/peihsinsu/try-spaner

17. Summarize
Spanner benefit
● Pay by use with the storage
● Throughput scaleout by extend
instance size
● With transaction and strongly
consistent
● Full managed by Google
~ The most I love ~

18. ~ Thanks ~