2024-06-14
329 reads
2024-06-14
329 reads
2024-06-12
461 reads
In the previous posts in this series (part 1, part 2, part 3), I described how I have optimized a long-running set of routines by processing databases, tables, and even subsets of tables in parallel. This leads to many separate jobs that all kick off at roughly the same time
2024-06-12
2024-06-10
487 reads
In part 2 of this series, I showed an example implementation of distributing a long-running workload in parallel, in order to finish faster. In reality, though, this involves more than just restoring databases. And I have significant skew to deal with: one database that is many times larger than all the rest and has a higher growth rate.
2024-06-07
Your challenge for this week was to find out who keeps mangling the contents of the AboutMe column in the Stack Overflow database.
2024-06-03
2024-05-08
654 reads
In my previous post, I showed how to borrow a snake draft concept from fantasy football, or a packing technique from the shipping industry, to distribute different portions of a workload to run in parallel.
2024-05-06
I recently had a restore job where I needed to split the work up into multiple parallel processes (which I’ll refer to here as “threads”). I wanted to balance the work so that the duration was something significantly less than the sum of the restore times
2024-05-01
In this article, I will discuss the history and thinking behind several types of logic that are typically associated with writing relational database code.
2024-04-26
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
A while back I wrote a quick post on setting up key mappings in...
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
Comments posted to this topic are about the item Creating JSON III
Comments posted to this topic are about the item Testing is Becoming More Important
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers