read replica

Related topics

• point-in-time recovery is an alternative to read replica From the official documentation: “You can recover a standalone instance from a zonal outage manually by performing either point-in-time-recovery or by promoting a read replica to become the standalone instance.”
• read replica works with Replication From the official documentation: “Replication copies transactions from a primary instance to one or more read replicas.”
• cross-region read replica is part of read replica From the official documentation: “Cross-region replication lets you create a read replica in a different region from the primary instance.”
• read replica is part of Cloud SQL From the official documentation: “This page applies to replicas of a Cloud SQL instance.”
• read replica depends on point-in-time recovery From the official documentation: “Additionally, the point-in-time recovery option, which uses write-ahead logs, is also required for creating a read replica.”
• BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Storage From the official documentation: “Sample to load Avro data from Cloud Storage into a new BigQuery table”
• BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
• Cloud SQL works with Cloud Storage From the official documentation: “Exports data from a Cloud SQL instance to a Cloud Storage bucket as a SQL dump or CSV file.”
• BigQuery works with Spanner From the official documentation: “Federated analytics seamlessly combine data from Spanner and other sources in BigQuery.”
• point-in-time recovery is part of Spanner From the official documentation: “Spanner point-in-time recovery (PITR) provides protection against accidental deletion or writes.”
• automated backups is part of Cloud SQL From the official documentation: “You can take on-demand, automated, or final backups for your Cloud SQL instances.”
• BigQuery works with Cloud Data Fusion From the official documentation: “Cloud Data Fusion pulls data from the storage bucket and writes it to BigQuery.”
• BigQuery works with Replication From the official documentation: “After the initial snapshot, incremental changes at the source are captured and applied to the BigQuery target as part of the ongoing replication process.”
• Cloud SQL is an alternative to Spanner From the official documentation: “If a workload requires transaction processing with strong relational consistencies, [Spanner](/spanner/docs/overview) or [Cloud SQL](/sql/docs) can be better alternatives.”
• Cloud Storage works with point-in-time recovery From the official documentation: “For data retention needs beyond 14 weeks, you can use PITR to create an export of your entire database and save this data in Cloud Storage indefinitely.”
• cross-region read replica is part of Cloud SQL From the official documentation: “Use the cross-region read replica feature for Cloud SQL to help you meet data residency standards for a designated region.”
• high availability is part of Cloud SQL From the official documentation: “You can configure a Cloud SQL instance for high availability by using the Google Cloud console, [gcloud CLI](/sdk/gcloud), or the API.”
• Replication is part of Cloud Data Fusion From the official documentation: “In the Cloud Data Fusion web interface, click **Replication**.”
• BigQuery depends on Cloud Storage From the official documentation: “BigQuery relies on Cloud Storage for staging file data and supports reading from and writing to several other sources and Google Cloud services.”
• Cloud Data Fusion works with Cloud SQL From the official documentation: “This page describes how to connect a private Cloud Data Fusion instance to a private Cloud SQL instance that hosts a MySQL database.”
• Cloud SQL depends on Cloud Storage From the official documentation: “When ingesting data from Cloud SQL, data is first staged to a Cloud Storage bucket.”
• Cloud SQL configures high availability From the official documentation: “If you want your instance to be replicated between zones synchronously, then [configure it for high availability](/sql/docs/mysql/high-availability).”
• Cloud SQL works with Replication From the official documentation: “Cloud SQL supports various replication modes to migrate data into your instance.”
• Cloud Storage works with Spanner From the official documentation: “Move Spanner databases to and from Avro or CSV files stored in Cloud Storage.”
• high availability depends on automated backups From the official documentation: “Check the instance to see if automatic backups and binary logs are enabled. These are required for high availability instances.”
• high availability configures Cloud SQL From the official documentation: “If you want your instance to be replicated between zones synchronously, then [configure it for high availability](/sql/docs/postgres/high-availability).”
• high availability depends on point-in-time recovery From the official documentation: “Check the instance to see if automatic backups and point-in-time recovery are enabled. These are required for high availability instances.”
• point-in-time recovery depends on automated backups From the official documentation: “In addition, Cloud SQL for PostgreSQL lets you restore a PostgreSQL database to a specific [point in time](/sql/docs/postgres/backup-recovery/pitr) as long as point-in-time recovery is turned on and the automated backup option is enabled.”
• point-in-time recovery is part of Cloud SQL From the official documentation: “Cloud SQL provides the following options to restore your instance using PITR:”
• point-in-time recovery depends on Cloud Storage From the official documentation: “Must store the transaction logs used for PITR in Cloud Storage”
• Replication is part of Cloud SQL From the official documentation: “Cloud SQL supports various replication modes to migrate data into your instance.”