Target database endpoint (for example, SQL endpoint, Cosmos DB endpoint, and so on).For more information about creating a virtual network, see the Virtual Network Documentation, and especially the quickstart articles with step-by-step details.ĭuring virtual network setup, if you use ExpressRoute with network peering to Microsoft, add the following service endpoints to the subnet in which the service will be provisioned: For example, PostgreSQL 9.6 can only migrate to Azure Database for PostgreSQL 9.6, 10, or 11, but not to Azure Database for PostgreSQL 9.5.Ĭreate an instance in Azure Database for PostgreSQL or Create an Azure Database for PostgreSQL - Hyperscale (Citus) server.Ĭreate a Microsoft Azure Virtual Network for Azure Database Migration Service by using the Azure Resource Manager deployment model, which provides site-to-site connectivity to your on-premises source servers by using either ExpressRoute or VPN. For more information, see the article Supported PostgreSQL Database Versions.Īlso note that the target Azure Database for PostgreSQL version must be equal to or later than the on-premises PostgreSQL version. The source PostgreSQL Server version must be 9.5.11, 9.6.7, 10, or later. Prerequisitesĭownload and install PostgreSQL community edition 9.5, 9.6, or 10. Moving data across regions or geographies can slow down the migration process and introduce errors. If you are planning to appear for the Azure Administrator Exam Certification, check out this course on Udemy.For an optimal migration experience, Microsoft recommends creating an instance of Azure Database Migration Service in the same Azure region as the target database. Also, follow IoT Espresso on Twitter to get notified about every new post. You can add the above function in a cron service (maybe a Timer Triggered Azure Function) to perform daily/weekly/monthly backups of your table.įound this post helpful? Then check out further posts on Azure on i. Once you deploy this function, you will be able to see the container of your backup CSV within ‘Containers’ and the CSV within that container. Make sure to include this package in your requirements.txt file if you are hosting this function on a cloud platform. Replace the dummy DB credentials in the above snippet with your actual DB Credentials, TABLE_NAME with the name of the table you want to backup, and CONNECTION_STRING with the storage account connection string you copied earlier.Īs you can see, we are using the azure-storage-blob package for interacting with our storage account. #Store the backup of the file in that containerīlob_client = om_connection_string( Once you have all this, you can construct your backup function as follows: import loggingįrom import BlobClient, ContainerClientĬONNECTION_STRING = 'myStorageAccountConnStr'Ĭpy_expert("COPY " + TABLE_NAME + " TO STDOUT WITH CSV HEADER", output_file)Ĭontainer_client = om_connection_string( Once the connection string is obtained, get the credentials of your DB and the name of the table you want to backup. Click on ‘Show Keys’ and copy the connection string for one of the keys, say key1. ![]() Navigate to the created storage account in the Azure portal, and go to the ‘Access Keys’ section within ‘Security + networking’. Once created, you will need the connection string for that account. Follow the steps here to create your storage account. You will first need to create a Storage account in Azure. In this article, we will create a function in Python that will help us backup a PostgreSQL table to the Azure blob storage, in the form of a CSV.
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