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Curated SQL Posts

The State of SQL Server Monitoring Survey

Published 2019-03-20 by Kevin Feasel

Kendra Little would like a few minutes of your time:

Calling all Database Administrators, Developers, Analysts, Consultants, and Managers: Redgate has a survey open asking how you monitor your SQL Servers.

Take the survey before April 5, 2019.

Your time is valuable. The survey will take 5 – 10 minutes to complete. That’s not a ton of time, but it’s a noticeable part of your day, and there should be something in it for you. Here’s why it’s worthwhile to take the survey.

Read the whole thing and take that survey.

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Exporting SQL Server Tables to Excel with Powershell

Published 2019-03-20 by Kevin Feasel

Aaron Nelson shows how you can export the tables in a SQL Server database to Excel, using a warehouse as an example:

Obviously, you have to have the module installed, and a copy of AdventureWorksDW2017 db restored to a SQL Server.  After that,  all you have to do is loop through the tables, ‘query’ them with the Read-SqlTableData cmdlet, and pipe the results to the Export-Excel cmdlet.

I did some trial and error with this yesterday.  I settled on exporting all of the Dimension tables to separate Worksheets within the same Excel file, and exporting all of the Fact tables to their own individual files (since they tend to be much larger).

Click through for Aaron’s script.

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Postgres Support in Azure Data Studio

Published 2019-03-20 by Kevin Feasel

Constantine Kokkinos is excited about a big addition to Azure Data Studio:

I know I have been writing a lot about ADS recently, but this is even bigger than the Notebook announcement.

A Postgres plugin has been announced in the insider release of ADS, and it just works!

If the term Postgres is unfamiliar – PostgreSQL is one of the preeminent open source database solutions and is showing wide adoption due to its quality and of course, price.

Read on for additional notes.

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Using the StreamSets Snowflake Destination

Published 2019-03-19 by Kevin Feasel

Dash Desai shows how you can use StreamSets to write data into SnowflakeDB:

In particular, we’ll look at an example scenario that addresses Data Drift – where new information is added mid-stream and when that occurs the new table structure and new column values are created in Snowflake automatically.

To illustrate, let’s take HTTP web server logs generated by Apache web server (for example) as our main source of data. Here’s what a typical log line looks like:
150.47.54.136 - - [14/Jun/2014:10:30:19 -0400] "GET /department/outdoors/category/kids'%20golf%20clubs/product/Polar%20Loop%20Activity%20Tracker HTTP/1.1" 200 1026 "-" "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.153 Safari/537.36"

Click through for the demonstration.

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Database-First or Kafka-First for Event Streaming

Published 2019-03-19 by Kevin Feasel

Gwen Shapiro takes us through a scenario where database-first writes for event streaming makes the most sense:

Note that the DB does quite a lot for you: it enforces serializability, locks, your logical constraints, etc. If the DB is distributed (Vitesse, Cockroach, Spanner, Yugabyte), it does even more.

If you were to go Kafka-first… well, it isn’t impossible. But all those responsibilities now belong to you as a developer. And if you are thinking there may be multiple webservers handling user requests and passing them to Kafka, you have to solve fairly challenging problems.

Read the whole thing.

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Tuning Azure SQL Database

Published 2019-03-19 by Kevin Feasel

Tim Radney walks us through some of the tools we have available to tune Azure SQL Databases:

Many instance-level items that you have been used to configuring on full installations are off limits. Some of these items include:
– Setting min and max server memory
– Enabling optimize for ad hoc workloads
– Changing cost threshold for parallelism
– Changing instance-level max degree of parallelism
– Optimizing tempdb with multiple data files
– Trace flags

Tim does point out workarounds for some of these and gives us the list of things which are possible, so check that out.

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Calculating Weighted Averages in SQL

Published 2019-03-19 by Kevin Feasel

Lukas Eder shows how you can calculate weighted averages using SQL:

As can be seen, this schema is slightly denormalised as the number of lines per transaction are precalculated in the transactions.lines column. This will turn out to be quite useful for this calculation, but it isn’t strictly necessary.

Now, in the previously linked Stack Overflow question, a report was desired that would calculate:
– An aggregation of sums as provided by the line items
– An aggregation of averages as provided by the transactions

As Lukas points out, doing this in two queries is easy, but doing it in one is sublime.

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Bad Idea Files: Cross-Server Temp Table Access

Published 2019-03-19 by Kevin Feasel

Kenneth Fisher explains how to shoot yourself in the foot:

So a few things here. I’m using a global temp table instead of a local one because it makes it easier to reference. Local temp tables aren’t listed in tempdb under their name while global ones are.

The first part of this message (the bit in black) is a warning basically telling us that if there is a temp table (a # at the front of the name) it’s going to ignore the multi part reference. In other words, you’re going to get this message any time you try to use a multi part name and a temp table. Linked server or not. The second part of the message (the bit in red) just tells us that there isn’t a temp table named ##DBList.

Kenneth finds a way, but I can’t think of a scenario where accessing a temp table on a different instance turned out to be a good idea.

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Desired State Configuration: Managed Object Format Files

Published 2019-03-19 by Kevin Feasel

Jess Pomfret explains what Managed Object Format (MOF) files are and why they’re useful for Desired State Configuration:

When I run this script I see the output in the screenshot below, a MOF file has been created in my output folder. Managed Object Format (MOF) files are used to describe Common Information Model (CIM) classes, these are industry standards which gives us flexibility in working with DSC. In DSC this is important as the MOF file is the artefact that will actually be used to configure our nodes. This MOF will be delivered to our target node and enacted by the Local Configuration Manager (LCM).

The LCM will be covered in more detail in a later post, but for now know that it can be configured to be in either ‘Push’ mode or ‘Pull’ mode.  Pull mode is more complicated to set up but perhaps more appropriate for managing a large number of servers.  For now, we will look at the ‘Push’ mode where we will deliver the MOF manually to the target node for the LCM to enact.

There are a lot of TLAs to watch out for within Desired State Configuration.

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