Category: Editorial

  • Software Estimates

    We really stink at estimating the amount of time that we’ll spend on building software. However I’m not sure that we’re much worse off than many professions. If you ask a doctor how long it takes to get better, do they know? They do in some small, often seen, well documented issues, but in many cases, they don’t really know. Can lawyers determine how long it takes to solve a case beforehand?

    It seems the more accurate estimates typically come from places where the problem is fairly simple and very well known. However that’s probably true in software as well. If I asked you how long to write a new blog site, I bet many developers could come up with a close estimate.

    The idea of telling a computer to do x seems more bounded and contained than other professions, but it’s really not. This is often because developers don’t get a complete statement of all the requirements from clients. However this also isn’t really any different than many professions. How many of you know exactly how you want a house built, or legal matter settled, or the specifics of medical treatments and effects?

    I read an interesting piece on the idea that developers should just make small estimates, small changes, and move forward. They should be willing to undo, or redo their efforts as needed. That’s one of the benefits of Version Control Systems (VCS) and the great developers take advantage of the possibilities.

    While there are certainly problems with moving too fast, there should be plenty of reviews, tests, and other steps in the process that keep the quality of code high. Letting developers push forward, experimenting, and building sections of code quickly can help continue to push your development effort quickly. As long as they’re willing to undo and redo their efforts as they get closer to the end product.

    Steve Jones

    The Voice of the DBA Podcast

    Listen to the MP3 Audio ( 2.1MB) podcast or subscribe to the feed at iTunes and LibSyn.

  • No More Foreign Keys?

    I struggle with removing FKs as a general idea. It’s presented in a piece from a developer. It appears to me that if you do this, you are merely moving the problem, and potentially causing other issues. Apart from Grant’s response on performance, which is very true, there are other challenges with microservices and separate databases for each service.
    Let’s say we are doing something trivial, like a simple e-commerce site. I could have a separate database for products, one for orders, one for shipping actions, one for customers, etc. However as I scale, I’m not using intra-database queries or FKs/joins/other techniques to verify information for an order. Now I’m sending messages. At small scale, these are trivial. At large scale, my network traffic and messaging is vastly growing and potentially a bottleneck.
    Also, since there is a “products” database, and an “orders” database and a “customers” database, I still can’t necessarily scale out these microservices beyond their own machine. Perhaps I can scale them higher in terms of each being as large a machine as I can have now with a single Oracle/SQL Server/MySQL/etc. box, but I’m still have a scaling issue. I also now have a new messaging problem I need to manage and architect. If I lose one database, how gracefully can my application degrade or does it start to fail with unforeseen interactions? Do I create more frustration when customers cannot place an order because we can’t find the customer db or because the site is down?
    Certainly there are domains of problems that would work fine here. Spotify is probably a good example of this. There may be e-commerce systems that allow this, perhaps being willing to notify customers after some time (hopefully minutes, perhaps hours) that a product is out of stock because the message from the orders database didn’t get to the application. There are certainly ways to copy and replicate some  data, assuming that “fresh enough” works for your application. However that’s a business decision more than a coding decision. This also means that you also have a new load on your system to move data. I also think the more you work with singleton rows and single objects in an application context, the less you need RDBMS capabilities.
    Ultimately I think FKs and strong RDBMS systems work very well in many situations. They work less well in many situations and your domain may qualify for those areas where a NoSQL, a multi-db, or other architecture works. We should certainly investigate and write about where things work and don’t work, but I wouldn’t assume the RDBMS with it’s PKs and FKs isn’t a valid, well thought out and incredibly useful architecture.

    Steve Jones

    The Voice of the DBA Podcast

    Listen to the MP3 Audio ( 3.5MB) podcast or subscribe to the feed at iTunes and LibSyn. feed

  • Adjusting Model

    In July the T-SQL Tuesday theme was defaults. There were lots of posts about various items, but I found one by Kevin Kline interesting. Kevin noted that the settings for model are not necessarily what many of us would want in production.

    Is that really the case? This week I wanted to take a poll and see if many of you actually do create defaults for your new databases by changing model that are different than what Microsoft has done.

    Do you change the model database?

    Certainly there are some people that have create scripts with various settings for their databases. Some people prefer to customize the setup each time, based on the purpose of the database. Still others have scripts that alter the database to change settings after a someone has installed the instance.

    There are any number of ways to ensure you have good settings for your production (or other) databases. Let us know this week if you have a step to change the model database when a new instance is installed.

    Steve Jones

    The Voice of the DBA Podcast

    Listen to the MP3 Audio ( 1.7MB) podcast or subscribe to the feed at iTunes and LibSyn.

  • A Clock With Benefits

    One of the difficulties I think that developers face is that so few people understand what actually goes into producing software. The end result that a user sees can mask the effort and complexity of the underlying code. A person might see one application that required months of effort and not understand how it’s different than a similar (in their view) application that was prototyped and completed in a week.

    I’ve seen a few efforts to try and explain how code is written, and I think the huge piece by Business Week was a really good explanation for the layman. It tries to simplify concepts, and does so in a humorous way. I suspect that this piece might actually help our clients and customers gain some appreciation for the difficulty of producing a basic application.

    However I think we need some additional articles like this to help explain our database world. While there are some good, basic pieces on what a database is, we don’t necessarily help anyone understand the complexity of assembling disparate data, especially at scale.

    I don’t think end users would care much about why database performance can be an issue, but I do think that some well written, easy to read, enjoyable pieces on the issues of writing poor database code might give developers some appreciation for why indexes matter, what RBAR does to performance, and what solutions might help their code shine.

    No one wants software written poorly, and no one wants deadlines missed. However the world of software development is complex and the more that we can help our clients understand this, the less time we waste on explanations.

    Steve Jones

    The Voice of the DBA Podcast

    Listen to the MP3 Audio ( 2.3MB) podcast or subscribe to the feed at iTunes and LibSyn.