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Cloud Spanner Simon Su / Cloud GDE
Spanner vs. Traditional SQL/NoSQL
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
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
Interactive with Cloud Console
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.
Create Database
Database view
Data preview
Query from GCP web console
Spanner SQL Execution Plan
Spanner permission control
Resize Spanner instance
Piece of Code...
Small RESTful test with Spanner
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
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 ~
~ Thanks ~

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Try Cloud Spanner

  • 1. Cloud Spanner Simon Su / Cloud GDE
  • 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
  • 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.
  • 10. Query from GCP web console
  • 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 ~