#KUSTO SUMMARIZE HOW TO#
#KUSTO SUMMARIZE FULL#
#KUSTO SUMMARIZE CODE#

#KUSTO SUMMARIZE HOW TO#

This is how to alias the query: let top5pages=pageViews

#KUSTO SUMMARIZE FULL#

I want to use the top five pages later in my pipeline, but instead of trying to join to the full query, I can simply alias it and reference it like a view later in the pipeline. The result is my most clicked pages in the past 24 hours. So, we add on the order and summary like this: pageViews In Kusto, we are just walking through a pipeline. Here’s where Kusto diverges from SQL in how you compose queries: with SQL, you need to think in terms of sets and possibly use table expressions or resort to temporary tables. Next, we want to order by clicks and take the top five. Show me the top five most clicked pages in the past 24 hours and break them down by medium.įirst, we’ll need to filter for the past day and summarize by page (the URL is stored in the name property.) pageViews Great! Now we can start to do something more interesting. So, I insert a command to limit the rows into the pipeline: customEvents Five rows should be enough to shape the data. This works for tables as well as properties.įirst, we want to make sure we don’t load too much data. Notice you get full autocompletion in the browser. Just stating the data source name injects it into the pipeline and returns its rows. Let’s examine the customEvents data source first. If you think of it as a pipeline, you’ll do just fine. The real ah-hah moment that came to me was how Kusto works. I’ve highlighted two data sources that are interesting to me. I get a handy list of data sources that I can work with and a text box to enter my query. I scroll down to Monitoring and choose Logs. First, I navigate to my Application Insights instance in the portal. Simple enough, right? Now let’s find the results. InstrumentationKey = Environment.GetEnvironmentVariable( 'APPINSIGHTS_INSTRUMENTATIONKEY') Public static Telemetr圜lient telemetry = new Telemetr圜lient() For example, if I shared the link on Twitter, a “twitter” event is emitted.

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I customized my code to raise an event that lists the medium of a click event. You can extend what’s out of the box with extra functionality. This generates a ton of metrics without touching your code. Finding KustoĮnhancing serverless functions with Application Insights is as simple as checking a box when you create the host. I had some ah-hah moments I want to share. NET users manage data in their applications.

NET Data PM and began looking into telemetry about how.

I struggled with it until I started my new role as. There is plenty of in-depth documentation about Kusto. The service for storing and handling interactive analytics is called Kusto, and it has a unique query syntax that is similar to SQL. My logs are automatically captured through Log Analytics and I can investigate the data using Azure Data Explorer.

It automatically gathers information from my serverless link shortener app and surfaces analytics and insights through Application Insights. One service I use every day is Azure Monitor. Azure provides some incredible services for storing and analyzing data.

Kusto summarize