When To Test

Kenneth Fisher thinks about when to test:

To test or not to test. That is the question. Or is it? Shouldn’t we always test? That was the question posted here. It’s a big question so let’s break it down a bit.

My short answer is:  test as much as necessary to keep two conditions from occurring:  first, that you get fired (or worse); second, that the inevitable bug somebody else discovers in your code is too embarrassing.  Kenneth’s answer is better.

Indexes To Build Indexes

Erik Darling shows missing index requests while creating indexes:

So there I was, creating some indexes. Since I was in demo mode, I had execution plans turned on. I’m actually terrible about remembering to turn them off. There have been times when I’ve run loops to create some REALLY big tables, and left them turned on. SSMS crashed pretty quickly. Apparently generating execution plans isn’t free! Keep that in mind when you’re timing/tuning queries.

Since they were there, I took a look at them. They were basically what I expected. The only way to index data is to read it and sort it and blah blah blah. But there was a little something extra!

Yo dawg, I heard you like indexes…

Availability Group Backup Failures

James Anderson had a recent experience in which a database in an Availability Group failed to back up properly:

Last week, I received an alert that the percentage of transaction log in use on one of our production databases was increasing more than it should have been. I’ll refer to this database as DB1 from here on in. It had reached 18%, which is above the normal 5-10% we like to see it at. DB1 is in an Always On Availability Group so if the log usage jumps we jump.

The first thing I checked was that the log backups were running. We use Ola Hallengren’s maintenance solution to manage our backups. The backup jobs were running without error.

The next thing to check was the log_reuse_wait_desc column in sys.databases.

The highlighted row is the row for DB1. A log_reuse_wait of 2 means there were no changes to backup since the last log backup. If that were the case then why was my transaction log slowly filling like an unattended bath?

Read on to learn more.  James also has a link to a (closed/won’t-fix) Connect item.

Finding Changes

Aaron Bertrand  shows different ways of looking for metadata changes in different versions of SQL Server:

Back in December, I published a post entitled, “How I spot not-yet-documented features in SQL Server CTPs.” In that post, I revealed a few of the ways that I get an early jump on what’s changed between CTP and/or RC builds of SQL Server. You can do those same things if you want to see what new objects or columns have been created, or which system modules have changed, between – say – SQL Server 2014 and SQL Server 2016. This will likely be a bigger list than any of the individual sets of items I’ve posted about in our SQL Server 2016 builds post, but the same concepts apply – create a linked server to the older instance, optionally create some synonyms for easy adaptation, and go to town.

There are a few other things I check as we get closer to the final release, and they can be quite revealing about what features have made it into the product. We can also get some insight into things they tried to get in but couldn’t (for example, there are error messages and Intellisense verbiage for STRING_AGG(), which does not seem to be in the cards for RTM). I’m going to point out a few, but I’m not going to iterate through all of the things I’ve learned – this is more to serve as as a starting point so you can experiment on your own.

If you’re interested in this kind of spelunking, you can learn a lot without having to reverse engineer binaries.


Bill Anton walks through perspectives in Analysis Services:

In an enterprise solution, you might have 10+ perspectives – some of which might have similar names – and without a clear description it will be confusing for a user (especially new users) to know which perspective is the correct one.

A better idea is to add a description/annotation property for each perspective where a more helpful text description can be provided indicating the business process, common types of analysis, etc. This would provide a metadata hook for self-service reporting tools (e.g. Excel, Power BI) as well as enterprise data cataloging solutions such as Azure Data Catalog.

Another helpful feature would be the ability to set the visibility of a perspective – or if you’re more familiar with the Tabular vernacular: “hide it from client tools”!

While you’re reading about perspectives, fill out Bill’s SSAS survey.


March 2016
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