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Author: Kevin Feasel

Columnstore Partitioning In SQL Server 2016

Published 2017-04-06 by Kevin Feasel

Niko Neugebauer demonstrates some performance improvements to partitioned columnstore indexes in SQL Server 2016:

266ms was the partitioned table under SQL Server 2016 (compatibility level 120) while 353ms of the total elapsed time was obtained on SQL Server 2014! This represents a solid 25% improvement

All execution plans will have the same iterators, but will differ on the overall estimated cost (the non-partitioned queries will be way lower than the partitioned ones), as well as the distribution of the estimated costs within the execution plan, but as for the rest – it will be quite similar, like the one shown on the image below:

These improvements were swamped by the aggregate predicate pushdown improvements in 2016, at least in Niko’s example, but I’ll take a free 25%-33% performance improvement.

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Using OLS To Fit Rational Functions

Published 2017-04-06 by Kevin Feasel

Srini Kumar and Bob Horton show how to use the lm function to fit functions using the Pade Approximation:

Now we have a form that lm can work with. We just need to specify a set of inputs that are powers of x (as in a traditional polynomial fit), and a set of inputs that are y times powers of x. This may seem like a strange thing to do, because we are making a model where we would need to know the value of y in order to predict y. But the trick here is that we will not try to use the fitted model to predict anything; we will just take the coefficients out and rearrange them in a function. The fit_pade function below takes a dataframe with x and y values, fits an lm model, and returns a function of x that uses the coefficents from the model to predict y:

The lm function does more than just fit straight lines.

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TempDB Spill And Checkpoint Writes

Published 2017-04-06 by Kevin Feasel

Lonny Niederstadt shows that the -k startup option throttles two separate things:

The -k startup option can throttle checkpoint writes, and can throttle tempdb spills.
On my systems, I’ve never seen an overwhelming checkpoint but I’ve seen plenty of overwhelming spills to tempdb.  But are spill writes through the checkpoint mechanism?  If so, then -k would just be throttling checkpoint writes to persistent databases and to tempdb – same function in two contexts.

Let’s take a look.  I’ll look at the same test scenarios I used in my March 29, 2017 blog post: an “insert into #temptable select…”, a “select… into #temptable”, and an index create with sort_in_tempdb.

For further reference, here is his preliminary research into the -k option.

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New RTVS Instructions

Published 2017-04-06 by Kevin Feasel

Ginger Grant has updated her instructions for installing R Tools for Visual Studio and getting R Services to work on SQL Server:

In addition to having an SQL Server 2016 instance with R Server installed, the following components are needed on a client machine

The Comprehensive R Archive Network

RStudio (optional)

Visual Studio 2015 R Tools

This list is a change from the previous list I have provided as RTVS contains an installation of R Client, there is no need to download that as well. You do not need to download Microsoft R Open if you are using R Server either.  Once RTVS is installed, there is a menu option on the R Tools window. Selecting Install R Client from the menu will handle the information. Unfortunately, there is no change to the menu option once R Client is installed, it always looks like you should install it.  To find out if R Client has been installed, look in the Workspaces window.

In other words, fewer dependencies and an easier installation process.  Read the whole thing to avoid RevoScaleR errors in your code post-upgrade.

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Doubly Linked Lists And Bugs

Published 2017-04-06 by Kevin Feasel

Ewald Cress explains a bug in DBCC PAGE:

Let’s start with the safety convention. The “null” of a null pointer isn’t a magic value, but in real-life implementation is simply zero, which is a perfectly valid virtual address. However, on the premise that trying to access address zero or addresses near it probably indicates a program error, the OS will map that page in such a way that trying to access it causes an access violation. This is not a bug or an accident, but a damn clever feature! Robert Love explains it very nicely over here for Linux, and it applies equally to Windows.

Now recall the convention that trying to retrieve the head or tail of an empty list will – by convention – bring you back a null pointer. When iterating, a related convention may also return a zero when you’ve gone all the way around and come back to the list head. Clearly the onus is on the developer to recognise that null pointer and not dereference it, but attempting to do so sets in motion the safety feature of an access violation, which can then be neatly caught through standard exception handling, for instance yielding a diagnostic stack dump.

Very interesting article, and also a good juxtaposition of supported, “production-safe” code versus undocumented processes.

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Connecting Powershell To Docker Containers

Published 2017-04-06 by Kevin Feasel

Andrew Pruski shows how to open a Powershell session on a container:

One of the questions that I was asked at SQL Saturday Iceland was “how can I view the filesystem within a container?”.

This is a great question as one of the things that people find off-putting about containers is their opaqueness. It’s not obvious where everything lives within the container or how we can view the files within it.

Thankfully there’s a simple docker command that allows us to open a powershell session within a container, that command is docker exec.

For Linux-based containers, /bin/bash (or your favorite shell, if it’s installed) serves as its analog.

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Understanding Lock Escalation

Published 2017-04-05 by Kevin Feasel

Kendra Little explains some of the rules behind lock escalation, including which locks don’t cause escalation:

Books Online has a good article about this, which explains a lot of the details about how many locks you need to take out to trigger lock escalation. Here are the (simplified) basics:

  • The ‘magic’ number to trigger escalation for the first time is 5,000 locks on a single table reference

  • Locks do NOT escalate from row level to page level. Row locks escalate to table. Page level locks also escalate to table level. In other words, forcing row level locking will not make it less likely to escalate locks to the table level, but rather it will do the opposite.

    • Note: for partitioned tables, you have the option to enable partition level escalation

  • If you’re modifying data, the escalated table lock will be exclusive. That means nobody else can party with the table if lock escalation succeeds while you’re doing your work.

Not all locks count, though, and Kendra has provided a test to show this.

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Taking Advantage Of Azure Elasticity

Published 2017-04-05 by Kevin Feasel

Arun Sirpal migrated a number of Azure SQL Databases into an elastic pool and configured a series of elastic jobs to support them:

I want to show you how I went from having multiple single SQL databases in Azure to a database elastic pool within a new dedicated SQL Server. Once setup I create and use elastic jobs. This post is long but I am sure you will find it useful.

APPROACH TAKEN

  • Create a new “logical” SQL Server.

  • Create a new elastic pool within this logical SQL Server.

  • Move the data from the old single SQL databases to the above elastic pool (couple of ways to do this but I used built-in backups).

  • Confirm application connection.

  • Decommission single SQL databases.

  • Create / setup an elastic job.

  • Check the controller database.

Definitely worth reading if you are looking at hosting multiple databases in Azure.

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Generating R Services Stored Procedures From R

Published 2017-04-05 by Kevin Feasel

David Smith describes sqlrutils, an R function to generate SQL Server R Services stored procedures:

If you’ve created an R function (say, a routine to clean up missing values in a data set, or a function to make forecasts using a machine learning model), and you want to make it easy for DBAs to use it, it’s now possible to publish R functions as a SQL Server 2016 stored procedure. The sqlrutils package provides tools to convert an existing R function to a stored procedure which can then be executed by anyone with authenticated access to the database — even if they don’t know any R.

To use an R function as a stored procedure, you’ll need SQL Server 2016 with R Services installed. You’ll also need to use the sqlrutils package to publish the function as a stored procedure: it’s included with both Microsoft R Client (available free) and Microsoft R Server (included with SQL Server 2016), version 9.0 or later.

Compare this against R Tools for Visual Studio, with which you can generate stored procedures from the IDE.

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Handling Runbook Alerts

Published 2017-04-05 by Kevin Feasel

Grant Fritchey shows how to set up alerting when an Azure automation job fails:

Believe it or not, there’s not an immediately obvious “Oh, you had an error in your Automation script, here’s how you alert someone” setting in the Azure portal. Now, you could simply put error handling in your PowerShell script. In fact, it’s probably not at all a bad idea to do that as well. However, what you would not get setting things up that way is a mechanism for managing the alerts, history, additional possible responses (like firing off another Runbook, although there is way to do that from the PowerShell too). Instead, what I want is way to manage alerts through the Azure fabric.

If you do a search, there is an Azure Alert service. However, it didn’t seem to be really what I was looking for. Further, I found it extremely difficult (OK, I couldn’t make it work) to connect the alerts directly to the Jobs related to my Runbooks. Instead, after quite a bit of research, what I found is a combination of Azure Log Analytics with the Operations Management Suite (OMS) will do exactly what I’m looking for.

Click through to read how to set this up.

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