I do not always use the Azure portal to make database changes or to check for certain information. I use it a lot of for blogging purposes but for some tasks I rather just run code via SSMS – SQL Server Management Studio.
Like what?
Last year I wrote about Azure SQL Database extended events (https://blobeater.blog/2017/02/06/using-extended-events-in-azure/) and gave an example where I was capturing deadlocks via the ring buffer. Ever since then I wanted to do a follow-up post but using Azure storage as the target for my XEL files.
This is more complicated than using the ring buffer as the target and requires a couple of things:
Last year I wrote about Azure SQL Database extended events (https://blobeater.blog/2017/02/06/using-extended-events-in-azure/) and gave an example where I was capturing deadlocks via the ring buffer. Ever since then I wanted to do a follow-up post but using Azure storage as the target for my XEL files.
This is more complicated than using the ring buffer as the target and requires a couple of things:
I have come to understand the importance of using columnstore indexes when my queries are aggregating and scanning across many millions of rows.
We all know that the magic figure for cost threshold for parallelism is 5 by default, meaning if the estimated cost of a query is greater than 5 it may very well generate a parallel plan.
Does this apply to Azure SQL Database? Let’s check.
DBCC CHECKDB has the ability to perform parallel checking of objects. However, it absolutely depends on the edition of SQL Server, it only happens when using enterprise edition.
Let’s see this in action. I propose the following tests for this blog post:
I was doing some normal activities on one of my Azure SQL Databases, I went to make a cup of tea and returned to the following message:
The statement has been terminated. Msg 40544, Level 17, State 12, Line 15 The database ‘TestDB’ has reached its size quota. Partition or delete data, drop indexes, or consult the documentation for possible resolutions.
If you know about DBCC CHECKDB then most likely you will know about DBCC CHECKTABLE. Quite simply this command performs primitive system-catalog consistency checks, per-table consistency checks on the single table specified, and cross-table consistency checks on indexed views that reference the specified table. (Page 899 Microsoft SQL Server Internals 2012, Chapter 14, Page 899, Paul Randal)
Let’s start off with a quick overview of SQL Server versions and compatibility levels.
So with SQL Server 2017 now available to the public what level is a newly created Azure SQL Database set at?
With Halloween around the corner what better topic to discuss than phantom reads. A phantom read occurs when rows have been inserted after a read operation and becomes visible in a follow-up read operation within the same transaction.
All About Data 