A Fine Slice Of SQL Server
The
take_anyfunction is a random row generator. Based on the parameters passed it, it will select a random row from the dataset being piped into it. It also has a variant,take_anyif, we’ll see both in this post.Note that
take_anywas originally calledanyand was renamed. Whileanystill works, it has been deprecated and you should now usetake_any.
As always, Robert shares plenty of examples of how the operator works, so check it out.
Comments closedPaul Hernandez gets Inspector Cluseau’d:
The Kusto Detective Agency was created last year (2022) to let people learn KQL solving funny puzzles at the same time. For me it has been a kind of scape room game, where you can exercise your solving problem capabilities and learn ADX at the same time. If you want to participate just follow this link
Click through for the scenario which got Paul.
Comments closedRobert Cain continues a series on KQL:
In my previous post, Fun With KQL – Max, MaxIf, Min and MinIf, we looked at the aggregation functions
maxandmin. In this post we’ll talk about another aggregation function,sum. We’ll also look at a variant of it,sumif.
Check out the details and examples in Robert’s post.
Comments closedThe
maxandminaggregation functions are common to almost every language, and the Kusto Query Language is no exception. As you would think, when you pipe in a datasetmaxreturns the maximum value for the column name you pass in. Likewiseminreturns the lowest value.In addition, there are variants for each,
maxifandminif. We’ll see examples for all of these in this post.
Click through for a few functions you can call via the summarize operator.
Robert Cain continues a series on KQL:
Back in June of 2022 I covered the
topoperator in my Fun With KQL – Top post. We showed how to create your own top 10 lists, for example what were the top 5 computers ranked by free disk space.What if you needed your top results in a nested hierarchy? For example, you wanted to know which three objects in the Perf table had the most entries? But, for each one of those, what were the three counters with the most entires?
That’s where the
top-nestedoperator comes in. It allows you to create top lists in nested, also called hierarchical levels.
Click through for the normal slew of examples on how to use this operator.
Comments closedAdi Eldar improves ADX visualization:
Azure Data Explorer (ADX) supports various types of data visualizations including time, bar and scatter charts, maps, funnels and many more. The chosen visualization can be specified as part of the KQL query using ‘render’ operator, or interactively selected when building ADX dashboards. Today we extend the set of visualizations, supporting advanced interactive visualizations by Plotly graphics library. Plotly supports ~80 chart types including basic charts, scientific, statistical, financial, maps, 3D, animations and more. There are two methods for creating Plotly visuals:
Read on to learn more about those two methods.
Comments closedRobert Cain continues a series on KQL:
Business Analysis is becoming mainstream in today’s corporate world. A big part of that analysis is done with pivot tables. Think of an Excel spreadsheet where data is organized into rows and columns.
The
pivotplugin will take one data column from your query, and flip it to become new columns in the output data grid. The other column will become the rows, and an aggregation function will be at the cross section of the rows and columns, supplying the main data. You’ll get a better understanding through the demos in this post.You may be wondering “plugin? What’s a plugin?”
I did, in fact, wonder. And Robert explains what a plugin is, as well as examples of how to pivot.
Comments closedRobert Cain continues a series on KQL:
There are versions of these which are case sensitive. We’ll see a few here, focusing on the
containskeyword. In addition there are not versions, which will also be demonstrated.There is another operator we’ll discuss here,
in. It is a bit of an odd duck, in that it is case sensitive by default. We’ll see it and its variants later in this post.
Case sensitivity in search is a curse.
Comments closedJose Manuel Jurado Diaz tracks timeouts:
Today, I worked on a service request when our customer needs to know several details about the command timeout captured (attention event) and sent to Log Analytics from Azure Diagnostic settings. In this article I would like to share my findings.
Read on to see how you can use Log Analytics and a little bit of KQL to track timeouts.
Comments closedRobert Cain continues a series on KQL:
In my previous post, Fun With KQL – DCountIf, we saw how you could apply a filter to the data directly within the
dcountiffunction.You may have been thinking gosh, it sure would be nice if we could do that within the
countfunction! (Note, you can read more about count in my Fun With KQL – Count blog post.)Well fear not intrepid Kusto coder, there is just such a function to fit your needs:
countif.
As always, Robert has examples for us, so check those out.
Comments closed