New Improved Azure Elastic Jobs

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There is a new way to setup Azure elastic jobs to run against a target group of databases (targeting an elastic pool). I actually found the process quite messy ( especially when trying to setup all the security access via T-SQL). Setting it up via the Azure portal is not currently an option. The first element remains the same, the need to create a “Job database”. This is the central database, think of it as the master. (Not really the master database in SQL Server but holds a lot of metadata etc) Then you need to define the group (usually the elastic pool), create credentials for access and then the job itself.

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Sizing your Azure SQL Database

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Do you want to identify the correct Service Tier and Compute Size ( was once known as performance level) for your Azure SQL Database? How would you go about it? Would you use the DTU (Database Transaction Unit) calculator? What about the new pricing model vCore? How would you translate you current on-premises workload to the cloud?

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SQL Server – max server memory

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Another re-post of a video from last year, this time showing you an in-built protection of setting max server memory for your SQL Server. You can clearly see that if you enter a silly figure such as 50 MB, the minimum memory amount allowable for max server memory is 128 MB. You will see SSMS (SQL Server Management Studio) change it to 128MB.

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Azure SQL Data Warehouse Query Store

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I personally think that query store has been a fantastic feature. I find myself using it for query performance troubleshooting (plan regressions is a big one). This has always been available since SQL Server 2016 and even Azure SQL Database but now Microsoft have made it available for Azure SQL Data Warehouse (DW).

If you connect to the Azure SQL DW via SQL Server Management Studio (SSMS) there is no Query Store Node (for the version, I was checking 17.9.1). I was even wondering if it was on by default?

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Azure SQL Database Online Columnstore Unicorn and Rainbow Theory

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As Microsoft states “online clustered columnstore index build enables you to optimize and compress your data with minimal downtime without major blocking operations on the queries that are executing while you are transforming the data.”

Based on one of my favourite blog posts ever about unicorns, rainbows and online index operations (https://www.sqlskills.com/blogs/paul/a-sql-server-dba-myth-a-day-830-unicorns-rainbows-and-online-index-operations/) I wanted to show that using a command such as

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Azure SQL Database and Transaction Log

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Checking out the transaction log in Azure SQL Database. If you are curious like me, you will want to know about what your transaction log is doing in the cloud. The following queries have been tested and run okay within Azure SQL Database it gives you some great insight. First up, the classic log_reuse_wait_desc. You can’t exactly do much with this output, more so, just to fulfill curiosity.

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