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Category: Error Handling

Illogical Errors and Implicit Conversion

Published 2020-03-23 by Kevin Feasel

Aaron Bertrand takes us through a problem with seemingly indeterminate query errors:

I’ve talked about illogical errors before. In several answers on Database Administrators (one, two, three), I show how you can use a CASE expression or TRY_CONVERT to work around an error where a non-numeric value, that should have been filtered out by a join or other clause, still leads to a conversion error. Erland Sommarskog raised a Connect item over a decade ago, still unaddressed, called “SQL Server should not raise illogical errors.”

Recently we had a scenario where a query was failing on one server but not another. But this was slightly different; there were no numerics involved. Imagine this scenario: a source table has a column that is varchar(20). A query creates a table variable with a column that is varchar(10), and inserts rows from the source table, with a filter in place that only exposes values that are 10 characters or less.

In a lot of cases, of course, this scenario is perfectly fine, and everything works as expected.

Read the whole thing. There is a method to the madness, and Aaron explains how it can come up in some cases but not others.

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Collation Conflicts with Extended Events

Published 2020-03-16 by Kevin Feasel

Jason Brimhall takes us through a nasty scenario:

Have you ever run into an error like this?

Cannot resolve the collation conflict between “pick a collation” and “pick another collation” in the equal to operation.

This kind of error seems pretty straight forward and it is safe to say that it generally happens in a query. When you know what the query is and you get this error, it is pretty easy to spot and fix the problem. At least you can band-aid it well enough to get past the error with a little use of the collate clause in your query.

But what if the error you are seeing is popping up when you are trying to use Management Studio (SSMS)? The error is less than helpful and can look a little something like this.

In this case, it was when trying to expand Extended Events sessions. Click through to see what’s going on and how to fix the problem.

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Implicit Type Conversions with Spark SQL

Published 2020-03-06 by Kevin Feasel

Manoj Pandey walks us through an unexpected error with Spark SQL:

While working on some data analysis I saw one Spark SQL query was not getting me expected results. The table had some good amount of data, I was filtering on a value but some records were missing. So, I checked online and found that Spark SQL works differently compared to SQL Server, in this case while comparing 2 different datatypes columns or variables.

Read on to learn more about the issue. This is the downside of Feasel’s Law: just because both system interfaces are SQL doesn’t mean that they’re equivalent or that the assertions and assumptions you can make for one follow through to the next.

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Troubleshooting Azure SQL DB Elastic Jobs

Published 2020-03-06 by Kevin Feasel

Kate Smith wraps up a series on elastic jobs in Azure SQL Database:

This error means that the Elastic Job Agent cannot connect to the target server(s) because the target has some firewall rules blocking the connection requests.  Indeed – it is required that every target in the target group allows connections from Azure Services in order for Elastic Jobs to work.  To fix this, I go to the target server in the Azure Portal and click on the “Firewalls and virtual networks” item under “Security”.  Next, I toggle the “Allow Azure services” from OFF to ON, and save my changes.  

This has been an interesting series to read through, even though I don’t do much at all with Azure SQL Database.

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Capturing Query Errors with Extended Events

Published 2020-03-03 by Kevin Feasel

Jack Vamvas shows how to capture query errors using Extended Events:

If you’re troubleshooting SQL Server query errors , you’ll already know Extended Events are highly useful and very effective method to capture SQL Server errors.

To use the script you’ll need appropriate privileges to create the Extended Event. You will also need to have some space available on the disk to store output files.

If you want something a little less permanent, you can use the ring buffer target. I put together something like this a long time ago and enjoyed IM-ing coworkers and saying “You forgot the join criteria” with no other context. Freaked them out the first couple of times…

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Hive: Shuffle Failed with Too Many Fetch Failures

Published 2020-02-28 by Kevin Feasel

Dmitry Tolpeko takes us through an ugly error:

On one of the clusters I noticed an increased rate of shuffle errors, and the restart of a job did not help, it still failed with the same error.

The error was as follows:

Error: Error while running task ( failure ) : org.apache.tez.runtime.library.common.shuffle.orderedgrouped.Shuffle$ShuffleError: error in shuffle in Fetcher at org.apache.tez.runtime.library.common.shuffle.orderedgrouped.Shuffle$RunShuffleCallable.callInternal (Shuffle.java:301)

Caused by: java.io.IOException: Shuffle failed with too many fetch failures and insufficient progress!failureCounts=1, pendingInputs=1, fetcherHealthy=false, reducerProgressedEnough=true, reducerStalled=true

Click through to understand what this error means and what you can do about it.

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Receiving Notifications when Azure Function Apps Fail

Published 2020-02-25 by Kevin Feasel

Gilbert Quevauvilliers shares how to receive notification e-mails when an Azure Function App fails:

Below are the steps to enable error notifications on Azure Function Apps

Follows on from my previous blog post How you can store All your Power BI Audit Logs easily and indefinitely in Azure, where every day it extracts the Audit logs into Azure Blob storage. One of the key things when working with any job that runs, is that I want to know when the job fails. If I do not have this and I assume that the data is always where, I could fall into a situation where there is missing data that I cannot get back.

Below explains how to create an alert with a notification email if an Azure Function App fails.

Read on for the step-by-step instructions.

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Handling Azure SQL Database Scale Changes

Published 2020-02-13 by Kevin Feasel

Arun Sirpal shows us how to handle scaling events in Azure SQL Database:

For some reason I have friends / colleagues telling me that when scaling (up and down for this example) that no downtime occurs. Well, not only does Microsoft documentation say differently, I will show it. So let’s test it out. Before the practical test, this is the official stance. “There is a switch over period where connectivity is lost to the database for a short amount of time, which can be mitigated using retry logic”.

Retry logic is an important part of any application. We tend to forget about it with on-prem applications talking to on-prem databases, but that’s a mistake.

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Power BI: Visual has Exceeded the Available Resources

Published 2020-01-23 by Kevin Feasel

Chris Webb explains why you might see an error in Power BI:

This visual has exceeded the available resources. Try filtering to decrease the amount of data displayed.Please try again later or contact support. If you contact support, please provide these details.More details Resource Governing: The query exceeded the maximum memory allowed for queries executed in the current workload group (Requested 1048580KB, Limit 1048576KB).

The official Power BI documentation has similar advice to what’s shown in this dialog about what to do here, but what’s really going on?

The information in the “More details” section of the section dialog gives you a clue: in this case it’s resource governance. When you run a DAX query in Power BI it will always use a certain amount of memory; inefficient DAX calculations can cause a query to try to grab a lot of memory. In Power BI Desktop these queries may run successfully but be slow, but the Power BI Service can’t just let a query use as many resources as it wants (if it did, it may affect the performance of other queries being run by other users) so there is a resource governor that will kill queries that are too resource hungry. In the case of the visual above the query behind it tried to use more than 1GB of memory and was killed by the resource governor.

Read on to understand where these limits are and how you can modify them.

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