Concepts
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Cloud Spanner overview
An introduction to Cloud Spanner.
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Replication
Learn about Cloud Spanner replication, including replica types and their roles in reads and writes.
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Instances
Learn about Cloud Spanner instances and nodes, and the tradeoffs between regional and multi-region instance configurations.
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Schema and data model
Learn all about Cloud Spanner's schema and data model.
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Schema design
Learn how to design Cloud Spanner schemas and load data into Cloud Spanner.
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Schema updates
Learn how to update the schema of an existing database.
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Secondary indexes
Learn how to increase query performance by using secondary indexes.
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Data types
Learn about Cloud Spanner's supported data types and their properties.
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Reads
Learn how to read Cloud Spanner data outside the context of read-only and read-write transactions.
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Transactions
Learn about read-write and read-only transactions.
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Partitioned DML
Learn about executing large-scale data updates without running into transaction limits.
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DML best practices
Best practices for writing and executing DML statements.
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Timestamp bounds
Read about timestamp bounds, which tell Cloud Spanner how to choose a timestamp at which to read data.
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Commit timestamps
Learn how to automatically write the commit timestamp of a transaction into a column.
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TrueTime and external consistency
Read about TrueTime's benefits for Cloud Spanner and Cloud Spanner's external consistency property.
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Access control (IAM)
Read about the permissions and roles that you can set at the project, Cloud Spanner instance, and Cloud Spanner database levels.
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Audit logging information
Learn about the audit logs that Cloud Spanner writes as a part of Stackdriver Logging, including Admin Activity and Data Access logs.
Performance tuning
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SQL best practices
Learn best practices for optimizing SQL query performance in Cloud Spanner.
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Query execution plans
Understand Cloud Spanner query execution plans.
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Efficient data loading
Learn how to efficiently load data into Cloud Spanner.
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CPU utilization metrics
Understand the CPU utilization metrics available in the GCP Console and Stackdriver Monitoring.
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Latency metrics
Understand the latency metrics available in the GCP Console and Stackdriver Monitoring.
