Db2 Experts on a Data Science Quest
Indexes are magic, right? Add one and magically the performance of a query improves.
Well, not really. Each index has a cost, and thoughtful multi-column indexes will go a lot further than individual indexes. Let’s dig into the details.
Relational databases require queries to specify what data they want returned with no specification of where that data is on disk.… Read the rest
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One of the things that learning a new RDBMS is teaching me is that there are some concepts that are common to RDBMSes. It is helping me to identify some of those concepts, and I learn a lot from the similarities and differences.… Read the rest
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The database conference organization I’ve focused on for most of my career – IDUG (International Db2 Users Group) is not interested in cross-platform content. Despite being a top speaker most conferences, they are not interested in content from me that covers things like transitioning from Db2 to MySQL or technical writing about database concepts.… Read the rest
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There have been a few times in my career where I have been stunned by something I have seen while at work.
Sometimes it was the good type of stunned. Like the first time first time I observed a truly obnoxiously large workload hit my production database and the database still performed like a champ.… Read the rest
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Many RDBMSes have similar structures and concepts. In this post, I’m going to compare and contrast IBM Db2’s concept of a clustered index and MySQL’s concept of a clustered index.
An index is generally a way of organizing data in a way that it will be quicker to access than scanning through all of a table.… Read the rest
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Db2u is here as a technical preview! I’ll cover the basics of how to set it up for a local sandbox, and leave the details and whys to future articles. IBM has stated that db2u will be available in GA later this year on Amazon EKS and Azure EKS, but meanwhile, I’ve got the technical preview up and running on my MacBook Pro!… Read the rest
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Earlier in 2021, I wrote an article on the big mistake I thought IBM was making by only offering their container-native version of Db2 (db2u) on RedHat OpenShift.
Well, that article and tirelessly asking questions of EVERY IBMer I could get to listen to me (seriously, I could hear eyes rolling when I asked for the umpteenth time) has finally worked!… Read the rest
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A buffer pool is one of the most critical memory areas for a Db2 database. Buffer pools are used to cache data in a way that the data can be reused by other connections. They do not store the results of Query A and Query B, but they store the data pages used to produce those results.… Read the rest
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Recent posts related to using Docker with Db2:
An Overview of Running Db2 in Containers
Where do Db2 Containers Come From and How are they Used
The focus of this article is to go through a few of the basics of using Docker with Db2.… Read the rest
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I’ve spent much of the last year or two on a containerization and DevOps crash-course. I’m just recently starting to come up for air and fill in some of the gaps that being neck-deep in the how leave in in the what and why.… Read the rest
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AWS S3 is a cloud object storage service that is easy to use. It is highly available and offers ELEVEN nine’s of durability.
I have quite a few blog entries over the years on backup and recovery.… Read the rest
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Note: the statements in this entry are my opinions. I quote IBM once in this article, and that statement should be seen as the only pure fact here. I invite IBM and others to add their perspective in the comments below.… Read the rest
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