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Month: January 2021

Identifying Expensive Queries with Query Store

Matthew McGiffen has a query for us:

Some time ago I wrote a query store version of the “Top 20 queries” query that will produce a ranked list of your most expensive queries – and I’ve ended up using this a lot.

The only downside of using the DMVs for Query Store is that they are per database whereas dm_exec_query_stats is a view across the whole instance. So I had to use a cursor and a temp table, populating the temp table for each database in turn.

Click through for the query.

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Wrapping up the Azure Databricks Advent

Tomaz Kastrun laughs at 24-day advent calendars:

In the last two days we have focused on understanding Apache Spark through performance tuning and through troubleshooting. Both require some deeper understanding of Spark and Azure Databricks, but gives also a great insight to all who will need to improve performance and work with Spark.

Today, I would like to list couple of additional Learning material, documentation and any other additional resources for further exploration on Azure Databricks.

Click through for links to additional resources on Apache Spark and Databricks, as well as the other 30 entries in the series.

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Non-Kimball Relationships in Power BI

Paul Turley continues a series on relationship modeling in Power BI:

So far, you’ve seen that the essential components of a data model include tables related to each other. Filtering records in one table prorogates the filter to related tables(s), causing records in the related table to be filtered. This dimensional model schema is the foundation of the reporting solution. Once the fact and dimension tables are in-place, you can create more advanced solutions by working outside of this standard relationship pattern.

Read on for the full story.

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Incremental Backoff with Powershell

Shane O’Neill implements a linear backoff strategy:

Pushups are hard! Even when I’m not trying to rep out as many as I can, they still take a toll on the body. Soon a five-minute break is not enough, and I’m taking longer and longer rests.

Fine, if that’s the way we’re going to do this, then I’m going to go with the flow.

I can confirm that pushups are hard. Also, click through for a link to the backoff script.

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The Complexity of Adding Simple Features

Chris Webb answers a timeless question:

One question I get asked all the time is this:

Why don’t you add [insert feature idea here] to Power BI?

It’s sometimes followed up by one or more of the following comments:

It would be so easy for you to do
I can’t believe you haven’t done it already
Power BI is unusable without it
[insert competitor name here] has had this feature for years

…and a real or virtual exasperated sigh.

Read on for the answer. This isn’t special to Power BI or even Microsoft—once you start to have customers with competing interests, these decisions get a lot harder.

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