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Version: 3.4 (unsupported)
    Features and pricing

    Restore databases in a Kubernetes environment

    This guide explains how to restore databases that ScalarDB or ScalarDL uses in a Kubernetes environment. Please note that this guide assumes that you are using a managed database from a cloud services provider as the backend database for ScalarDB or ScalarDL.

    Procedure to restore databases​

    1. Scale in ScalarDB or ScalarDL pods to 0 to stop requests to the backend databases. You can scale in the pods to 0 by using the --set *.replicaCount=0 flag in the helm command.

      • ScalarDB Server 
        helm upgrade <release name> scalar-labs/scalardb -n <namespace> -f /path/to/<your custom values file for ScalarDB Server> --set scalardb.replicaCount=0
      • ScalarDL Ledger 
        helm upgrade <release name> scalar-labs/scalardl -n <namespace> -f /path/to/<your custom values file for ScalarDL Ledger> --set ledger.replicaCount=0
      • ScalarDL Auditor 
        helm upgrade <release name> scalar-labs/scalardl-audit -n <namespace> -f /path/to/<your custom values file for ScalarDL Auditor> --set auditor.replicaCount=0

    2. Restore the databases by using the point-in-time recovery (PITR) feature.

      For details on how to restore the databases based on your managed database, please refer to the Supplemental procedures to restore databases based on managed database section in this guide.

      If you are using NoSQL or multiple databases, you should specify the middle point of the pause duration period that you created when following the backup procedure in Back up a NoSQL database in a Kubernetes environment.

    3. Update database.properties, ledger.properties, or auditor.properties based on the newly restored database.

      Because the PITR feature restores databases as another instance, you must update the endpoint information in the custom values file of ScalarDB or ScalarDL to access the newly restored databases. For details on how to configure the custom values file, see Configure a custom values file for Scalar Helm Charts.

      Please note that, if you are using Amazon DynamoDB, your data will be restored with another table name instead of another instance. In other words, the endpoint will not change after restoring the data. Instead, you will need to restore the data by renaming the tables in Amazon DynamoDB. For details on how to restore data with the same table name, please see the Amazon DynamoDB section in this guide.

    4. Scale out the ScalarDB or ScalarDL pods to 1 or more to start accepting requests from clients by using the --set *.replicaCount=N flag in the helm command.

      • ScalarDB Server 
        helm upgrade <release name> scalar-labs/scalardb -n <namespace> -f /path/to/<your custom values file for ScalarDB Server> --set scalardb.replicaCount=3
      • ScalarDL Ledger 
        helm upgrade <release name> scalar-labs/scalardl -n <namespace> -f /path/to/<your custom values file for ScalarDL Ledger> --set ledger.replicaCount=3
      • ScalarDL Auditor 
        helm upgrade <release name> scalar-labs/scalardl-audit -n <namespace> -f /path/to/<your custom values file for ScalarDL Auditor> --set auditor.replicaCount=3

    Supplemental procedures to restore data based on managed database​

    Amazon DynamoDB​

    When using the PITR feature, Amazon DynamoDB restores data with another table name. Therefore, you must follow additional steps to restore data with the same table name.

    Steps​

    1. Create a backup.

      1. Select the middle point of the pause duration period as the restore point.
      2. Use PITR to restore table A to table B.
      3. Perform a backup of the restored table B. Then, confirm the backup is named appropriately for backup B.
      4. Remove table B.

      For details on how to restore DynamoDB tables by using PITR and how to perform a backup of DynamoDB tables manually, see the following official documentation from Amazon:

      You can do this Create a backup step as a part of backup operations in the Back up a NoSQL database in a Kubernetes environment.

    2. Restore from the backup.

      1. Remove table A.
      2. Create a table named A by using backup B.

    3. Update the table configuration if necessary, depending on your environment.

      Some configurations, like autoscaling policies, are not set after restoring, so you may need to manually set those configurations depending on your needs. For details, see the official documentation from Amazon at Backing up and restoring DynamoDB tables with DynamoDB: How it works.

      For example, if you are using ScalarDB Schema Loader or ScalarDL Schema Loader to create tables, autoscaling is enabled by default. Therefore, you will need to manually enable autoscaling for the restored tables in DynamoDB. For details on how to enable autoscaling in DynamoDB, see the official documentation from Amazon at Enabling DynamoDB auto scaling on existing tables.

      In addition, after restoring the databases, the PITR feature will be disabled and the read/write capacity mode is reset to the default value. If necessary, depending on your environment, you will need to manually set these configurations. For some configurations for restored tables, see Set up a database for ScalarDB/ScalarDL deployment on AWS (Amazon DynamoDB).

    Azure Cosmos DB for NoSQL​

    When using the PITR feature, Azure Cosmos DB restores data by using another account. Therefore, you must update the endpoint configuration in the custom values file.

    Steps​

    1. Restore the account. For details on how to restore an Azure Cosmos DB account by using PITR, see Restore an Azure Cosmos DB account that uses continuous backup mode.

    2. Change the default consistency level for the restored account from the default value to Strong. For details on how to change this value, see the official documentation from Microsoft a Configure the default consistency level.

    3. Update database.properties for ScalarDB Schema Loader or ScalarDL Schema Loader based on the newly restored account.

      ScalarDB implements the Cosmos DB adapter by using its stored procedures, which are installed when creating schemas by using ScalarDB Schema Loader or ScalarDL Schema Loader. However, the PITR feature in Cosmos DB does not restore stored procedures, so you will need to reinstall the required stored procedures for all tables after restoration. You can reinstall the required stored procedures by using the --repair-all option in ScalarDB Schema Loader or ScalarDL Schema Loader.

    4. Re-create the stored procedures by using the --repair-all flag in ScalarDB Schema Loader or ScalarDL Schema Loader as follows:

      • ScalarDB tables 
        java -jar scalardb-schema-loader-<version>.jar --config /path/to/<your database.properties> -f /path/to/<your schema.json file> [--coordinator] --repair-all
      • ScalarDL Ledger tables 
        helm install repair-schema-ledger scalar-labs/schema-loading -n <namespace> -f /path/to/<your custom values file for ScalarDL Schema Loader for Ledger> --set "schemaLoading.commandArgs={--repair-all}"
      • ScalarDL Auditor tables 
        helm install repair-schema-auditor scalar-labs/schema-loading -n <namespace> -f /path/to/<your custom values file for ScalarDL Schema Loader for Auditor> --set "schemaLoading.commandArgs={--repair-all}"

      For more details on repairing tables in ScalarDB Schema Loader, see Repair tables.

    5. Update the table configuration if necessary, depending on your environment. For some configurations for restored accounts, see Set up a database for ScalarDB/ScalarDL deployment on Azure (Azure Cosmos DB for NoSQL).

    Amazon RDS​

    When using the PITR feature, Amazon RDS restores data by using another database instance. Therefore, you must update the endpoint configuration in the custom values file.

    Steps​

    1. Restore the database instance. For details on how to restore the Amazon RDS instance by using PITR, see the following official documentation from Amazon:

    2. Update the table configuration if necessary, depending on your environment. For some configurations for the restored database instance, see Set up a database for ScalarDB/ScalarDL deployment on AWS (Amazon RDS for MySQL, PostgreSQL, Oracle, and SQL Server).

    Amazon Aurora​

    When using the PITR feature, Amazon Aurora restores data by using another database cluster. Therefore, you must update the endpoint configuration in the custom values file.

    Steps​

    1. Restore the database cluster. For details on how to restore an Amazon Aurora cluster by using PITR. see the official documentation from Amazon at Restoring a DB cluster to a specified time.

    2. Add a replica (reader) to make the database cluster a Multi-AZ cluster if necessary, depending on your environment.

      The PITR feature in Amazon Aurora cannot restore a database cluster by using a Multi-AZ configuration. If you want to restore the database cluster as a Multi-AZ cluster, you must add a reader after restoring the database cluster. For details on how to add a reader, see the official documentation from Amazon at Adding Aurora Replicas to a DB cluster.

    3. Update the table configuration if necessary, depending on your environment. For some configurations for the restored database cluster, see Set up a database for ScalarDB/ScalarDL deployment on AWS (Amazon Aurora MySQL and Amazon Aurora PostgreSQL).

    Azure Database for MySQL/PostgreSQL​

    When using the PITR feature, Azure Database for MySQL/PostgreSQL restores data by using another server. Therefore, you must update the endpoint configuration in the custom values file.

    Steps​

    1. Restore the database server. For details on how to restore an Azure Database for MySQL/PostgreSQL server by using PITR, see the following:

    2. Update the table configuration if necessary, depending on your environment. For some configurations for the restored database server, see the following: