Google Cloud SQL

  1. Cloud SQL and BigQuery: Export data from Cloud SQL to BigQuery for large-scale data analysis and processing, enabling you to leverage the power of BigQuery for advanced analytics and machine learning.
  2. Database Schema Management: Learn best practices for managing database schemas in Cloud SQL, including schema versioning, migrations, and updates, to ensure data integrity and consistency across your application.
  3. Database Indexing: Understand the importance of database indexing in Cloud SQL to optimize query performance, and learn how to create, modify, and manage indexes for your tables.
  4. Monitoring Query Performance: Utilize Cloud Monitoring and Cloud Logging to monitor and analyze query performance in Cloud SQL, helping you identify slow queries, resource bottlenecks, and other performance issues.
  5. IAM Policies for Cloud SQL: Implement IAM policies to manage access control for your Cloud SQL instances, allowing you to grant or restrict access based on predefined roles and permissions.
  6. Cloud SQL Alerts and Notifications: Set up alerts and notifications for your Cloud SQL instances using Cloud Monitoring, keeping you informed about important events, such as instance unavailability, resource contention, or maintenance events.
  7. Cloud SQL and Cloud Pub/Sub: Integrate Cloud SQL with Cloud Pub/Sub to publish and subscribe to database events, enabling you to build event-driven applications and data pipelines.
  8. Database Partitioning: Learn how to implement and manage database partitioning in Cloud SQL to optimize query performance and storage utilization, particularly for large tables with millions of rows.
  9. Database Sharding: Understand the concept of database sharding in Cloud SQL and learn how to implement and manage sharding strategies to distribute your data across multiple instances for improved performance and scalability.
  10. Using Cloud SQL with Cloud Build: Integrate Cloud SQL with Cloud Build to automate database-related tasks as part of your CI/CD pipeline, such as running database migrations, tests, or schema updates.
  • gcloud Command-Line Interface (Continued):
  • gcloud sql databases: Manage databases for a Cloud SQL instance
  • gcloud sql instances clone: Clone a Cloud SQL instance
  • gcloud sql instances failover: Initiate a failover on a high availability Cloud SQL instance
  • gcloud sql instances export: Export data from a Cloud SQL instance to a Cloud Storage bucket
  • gcloud sql instances import: Import data into a Cloud SQL instance from a Cloud Storage bucket
  • gcloud sql instances delete: Delete a Cloud SQL instance
  • gcloud sql instances patch: Apply a patch to a Cloud SQL instance
  • gcloud sql instances start: Start a stopped Cloud SQL instance
  • gcloud sql instances stop: Stop a running Cloud SQL instance
  • gcloud sql users: Manage users for a Cloud SQL instance
  1. Resource Labels: Use resource labels to organize and categorize your Cloud SQL instances, making it easier to track, manage, and bill your resources.

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