Such a switch-over results in only several seconds of downtime for an upgrade. Once it has synced up with the master server (running the older version of PostgreSQL), you can switch masters and make the standby the master and shut down the older database instance. It’s important to note that migrating from one database to another can be a complex task and it’s recommended that you test the migration process in a non-production environment before migrating the data to the production environment. The standby can be on the same computer or a different computer. Once you have the data in your AWS account, you can use the AWS Data Migration Service (DMS) to migrate the data from your Aurora Postgres database to the customer’s Aurora Postgres database in their AWS account. Use a third-party tool such as Oracle Data Pump or the Toad for Oracle software to export the data from the local Oracle database and import it into the Aurora Postgres database in your AWS account. SCT allows you to convert the Oracle schema to a format that is compatible with Aurora Postgres. Use the AWS Schema Conversion Tool (SCT) to convert the Oracle schema to a Postgres schema and then use the pgAdmin tool or the AWS Data Migration Service (DMS) to transfer the data. This tool can be used to export data in a format that can be imported into Postgres, such as SQL or CSV. Use the pgAdmin tool to export data from the Oracle database in the local environment and import it into the Aurora Postgres database in your AWS account. If your customer’s company rules do not allow the use of AWS DMS for migrating the Oracle database to Aurora Postgres in their AWS account, there are a few other options you can consider:
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