I mentioned before that you could use the idea of data persistency to rebuild your data from total failure. There are two types. RDB and AOF.
RDB – persists a snapshot of your cache in a binary format. The snapshot is saved in an Azure Storage account. AOF – saves every write operation to a log. The log is saved at least once per second into an Azure Storage account.
Following on from a previous blog post (https://blobeater.blog/2021/01/15/sql-server-linux/) on installing SQL Linux, a common requirement will be the need to connect to it to issue queries, typically via SQLCMD). There isn’t too much to it but still an important step.
If you have come from a windows background you may be curious about the world of SQL Server Linux. Yes, the operating system and the implementation of it differs to the traditional Windows environment but once installed, it’s just good old SQL server and those lovely DBCC commands and backup statements work, all your DMVs are ready for you too.
Being in the cloud does have many benefits, from lower administration to fast scaling but another “side effect” of operating in Azure SQL Database is the cloud first nature of changes. By this I basically mean new features always get pushed to Azure first before the classic on-premises version so some gems come to light.
Since SQL Server 2016 we could leverage Microsoft Azure to dynamically move “cold” portions of data away from on-premises storage for longer retention time periods. Whilst in theory being a great idea the cost was a blocker for some and with a cumbersome setup process. SQL Server 2019 addresses this by making the costs of storing the data in the cloud more competitive and making the setup more streamlined with the use of the Data Migration Assistant (DMA) tool and SSMS (SQL Server Management Studio).
It was just a matter of time until I started combining my cloud experience with “different” flavours of SQL Server. I haven’t used Linux since my university days (Oracle – errgh) but recently some Friends of mine ( using LAMP stack ) asked me couple of questions about SQL Server Linux.