Jose Lara shows how to send alerts if you hit a utilization threshold:
If you want to see the step-by-step guide to create a new Log Analytics alert, check out our recent blog post on creating Log Analytics Alerts.
For the alert signal logic, use the following values:
Use the query from the previous step
Set the sum of AUs to 50 as the threshold (you can use any number that reflects your own threshold)
Set the trigger to 0: whenever the threshold is breached
Set the period and frequency for 24 hours.
Read the whole thing if you use Azure Data Lake Analytics; an unexpectedly large bill is a tough thing to swallow.
Laura Ellis shows how to use the ggmap package to create choropleth maps in R:
In the last map, it was a bit tricky to see the density of the incidents because all the graphed points were sitting on top of each other. In this scenario, we are going to make the data all one color and we are going to set the alpha variable which will make the dots transparent. This helps display the density of points plotted.
Also note, we can re-use the base map created in the first step “p” to plot the new map.
Check it out. This is an introduction to creating choropleths, making it a good start.
I recently had to do an analysis of a client’s database workload using the Azure DTU Calculator(DTU Calculator) and thought it might be interesting to share just how I did that. I have run this tool numerous times on other clients via the PowerShell method and the Command Line method, however this client’s environment was: Windows Server 2008R2, and SQL Server 2008R2 SP3 and had to be done differently.
Now, from the DTU Calculator page itself, it tells you how the process works. It essentially runs a perfmon trace for an hour with the following counters:
- Processor – % Processor Time
- Logical Disk – Disk Reads/sec
- Logical Disk – Disk Writes/sec
- Database – Log Bytes Flushed/sec
My client did not have PowerShell accessible for me to use unfortunately. I normally prefer the PowerShell script, however in this case I had to use the Command Line Interface, they both return the same results.
Click through to see how Jim did it.
One common issue that bugs me is where databases have been moved from one instance to another, usually through backup and restore, and the files haven’t been moved as part of the restore so they get recreated in the data\log folders for the old instance.
This has caused me various problems, e.g. working out which instance is hammering the disk or using up all the space.
Click through for the script.
First and foremost, SQL Server 2016 Service Pack 2 was just released today. There are two major improvements in it for AGs:
1. SQL Server 2016 now has full Microsoft Distributed Transaction Coordinator (DTC) support. SQL Server 2016 had partial support for DTC with one of the two scenarios (cross instance/cross platform), but not intra-instance DBs. SQL Server 2017 had both, and now that was backported so SQL Server 2016 supports all DTC scenarios with AGs. This is great news.
Click through for the other major improvement. This is in addition to yesterday’s notice regarding the distribution database.
Claudio Silva points out a difference between the DATETIME and DATETIME2 data types:
I’m currently working on a SQL code migration from Firebird to SQL Server and I hit an error that I haven’t seen for some time.
The error message is the following:
Msg 206, Level 16, State 2, Line 4
Operand type clash: datetime2 is incompatible with intThis ringed the bell right away! Somewhere on the code someone was trying to do an arithmetic calculation without using the proper function.
Read on for the solution.
This one isn’t bad, but imagine a multi-statement deadlock, or a server with several deadlocks in an hour – how do you easily see if there were other errors on the server at the same time?
With SQL Server 2012+, we have a better tool to see when deadlocks occur – and the deadlock graphs are saved by default, so we don’t have to read the text version to figure it out, or run a separate trace to capture them.
In SSMS, open Object Explorer and navigate to Extended Events > Sessions > system_health > package0.event_file. Double-click to view the data.
Click through for the entire process.
Arun Sirpal noticed a problem when he tried to copy an Azure SQL Database:
Now, I was looking at the following code.
CREATE DATABASE CodeDBP1 AS COPY OF CodeDB ( SERVICE_OBJECTIVE = 'P1' ) ;You would think this is okay? I did, especially with the fact that it parsed and was executing. I was thinking a copy of the CodeDB database will be created as a premium P1 database regardless of what the source database service tier was. This source database is 0.5GB in size under the basic tier and 40 minutes later the copy was still executing. It just didn’t seem right.
Click through for the solution. If this is going to be normal behavior, I’d really like to see an error message.
Tal Galili announces that R 3.5.0 is now available:
By default the (arbitrary) signs of the loadings from
princomp()are chosen so the first element is non-negative.
If –default-packages is not used, then
Rscriptnow checks the environment variable R_SCRIPT_DEFAULT_PACKAGES. If this is set, then it takes precedence over R_DEFAULT_PACKAGES. If default packages are not specified on the command line or by one of these environment variables, thenRscriptnow uses the same default packages asR. For now, the previous behavior of not including methods can be restored by setting the environment variable R_SCRIPT_LEGACY to yes.
When a package is found more than once, the warning from
find.package(*, verbose=TRUE)lists all library locations.
POSIXt objects can now also be rounded or truncated to month or year.
Click through for the long, long list of changes. H/T R-Bloggers
Abdul Majed Raja shows off Markovify, a Python package which builds sentences using Markov chains:
Markov chains, named after Andrey Markov, are mathematical systems that hop from one “state” (a situation or set of values) to another. For example, if you made a Markov chain model of a baby’s behavior, you might include “playing,” “eating”, “sleeping,” and “crying” as states, which together with other behaviors could form a ‘state space’: a list of all possible states. In addition, on top of the state space, a Markov chain tells you the probability of hopping, or “transitioning,” from one state to any other state — -e.g., the chance that a baby currently playing will fall asleep in the next five minutes without crying first. Read more about how Markov Chain works in this interactive article by Victor Powell.
Click through for a fun example of headline generation.
Kevin Feasel
2018-04-25
Cloud
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