I apologize for the lull in my blogging. After most of my blog posts were completely ripped off by a Chinese website (full copy/paste or web-crawl and replace my name type plagiarism) a switch just flipped in my brain. I am trying again after submitting complaints with Google (Thanks to Brent Ozar for the guidance) … Continue reading SQL Server – Space – Data And Log File Growth Auto-Grow History TSQL
If you have been working with PowerShell and SQL Server for a while now, you know that it is not difficult to capture the PRINT statement output as VERBOSE output (which can then be redirected to a variable or file). You also know that it is not too difficult to run SQL in parallel against … Continue reading PowerShell & SQL Server: Run In Parallel – Collect SQL Results With PRINT Output From Across Your SQL Farm – Fast!
SOURCE CODE ATTRIBUTION: Before I proceed, I want to give credit to the original procedure by sfrejofsky based on which I created this procedure (mostly improvements). The source of this procedure is https://stackoverflow.com/questions/10404348/sql-server-dynamic-pivot-query I had a need to do dynamic PIVOTing for one of my projects and instead of reinventing the wheel, I used the … Continue reading SQL Server – Dynamically PIVOT ANY Column On ANY Table in ANY Database For ANY Aggregation With ANY Condition
What is the fastest way to execute a PL/SQL function? If you paid attention to the title, your answer would be “to not execute it at all”. In fact, that is the correct answer and Oracle provides the means to do it. The magic is possible because of an Oracle feature called result cache which […]
Before you read on, please check out my related post on "Function Result Cache". You may find it valuable in this context. Conversation sounds familiar? I am sure you have been privy to a conversation like this between an IT manager and a DBA: Manager: My query is extremely slow. Can you make the query … Continue reading Oracle – Fastest Way To Execute SQL Is? To, Not Execute It! – Query Result Cache – Part II