Author: way0utwest

  • The Cloud is Nothing Special

    In the news this week, there was a major announcement. Buck Woody (blog | @BuckWoody), longtime Microsoft employee and favorite speaker of many in the community, bought an iPad. That in and of itself, with Buck’s frequent touting of Microsoft products, is amazing, and Buck wrote about it on his blog, noting that Windows Azure is platform independent. He even has a picture of a NASA app, something built on Azure, running on his new toy.

    This week, SQL Azure finally gets its own web site, showcasing SQL Server in the cloud. I know lots of DBAs, and IT people in general might be down on computing in the cloud, but I’m not. I think that there are some problems, some applications, that will benefit from cloud computing. Not every instance of SQL Server should be moved to the cloud, but some will work better in the cloud. If nothing else, being able to use cloud services is another evolution of the hosted environments that so many small companies use today. You can get the services you need without the need to do as much administration or setup.

    For most of us, the services that we might use on the Internet are platform independent. We don’t care that Facebook uses Cassandra, or Google uses BigTable, or that TractorByNet uses whatever technology they use. We just want our particular service to work, and it doesn’t mattter what the underlying technology is.

    I think it’s the same with cloud computing. Ultimately it doesn’t matter if it’s Azure, EC2, or some other service. Just like Brent Ozar views virtualization, I would bet that some of the time a cloud service is “good enough” to use.

  • Common SQL Server Mistakes – SELECT *

    I’ve been trying to work on some new presentations so that I have a variety, including some spares, when I go to events. One of the topics that I think has some value, especially for .NET and sysadmin groups, is a list of common mistakes, how to fix them, and why they’re bad.
    I was going to call this Common Developer Mistakes, but I’m not sure that would go over well at Developer events, and I see DBAs making these mistakes along with Windows admins.
    I decided to build a series of blog posts as I work through the presentation to document some of the issues, and help me work through speaking points. Please feel free to comment.
    SELECT * Is For Short Term Use Only
    The first mistake that I often see in application code is that too often people write things like

    SELECT * 
    FROM Sales.Customer

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    What does this do? If I run this in my 2008 AdventureWorks database, I get something like this:

     SelectStar_b

    You can see that I end up with multiple columns (CustomerID, TerritoryID, CustomerType, rowguid, ModifiedDate). That’s handy, and cool, and allows me to get all the data in the table.

    But do I really need it?

    In most applications, my guess is that we don’t. Why do we need TerritoryID? That’s a foreign key to the SalesTerritory table, and typically what I want instead is the SalesTerritory.Name column instead of the ID value.

    I could do this:

    SELECT *
    FROM Sales.Customer c
    INNER JOIN Sales.SalesTerritory t
    ON c.TerritoryID = t.TerritoryID

    but that’s any better. Now I’ve returned even more columns, 10 more to be exact, including TerritoryID twice, once from each table. In AdventureWorks, this is 19k rows, and at a minimum this query has returned 19k rows x 8 bytes (int data type) too much data. That doesn’t sound like a lot, but what if this runs in your application 500 times a day? That’s a lot of wasted:

    • bandwidth
    • disk access
    • memory from caching
    • CPU work on the server AND client

    I would also guess that most of the time when you access a customer, you don’t even want all the rows. Likely you want to filter this somehow, and you will with a WHERE clause, but it’s still wasted time and resources.

    We know that the database often is a bottleneck. It’s a shared resource, it’s one machine, and it doesn’t scale as easy as multiple clients or web servers, or even developers, so we should avoid wasting resources when we don’t have to.

    What Do You Do?

    Here’s what I recommend:

    You can write this, and it’s what I often do:

    SELECT TOP 2
    *
    FROM Sales.Customer

    And I get a limited result set:

    SelectStar_e

    Why is this better? I do this so I can easily see the column names. I can then include those in my SELECT statement, with a quick rewrite.

    SelectStar_f

    I could also quickly use the Object Explorer to find the columns like this:

    SelectStar_g

    And you can right click, and choose “script” and “as SELECT”

    SelectStar_h

    and paste the code into your query window. The results would look something like this:

    SelectStar_i

    Alternatively, my employer, Red Gate Software, makes a fantastic product called SQL Prompt that will help you quickly grab columns. For me, I can do an SSF, and get a SELECT * FROM and then choose the table:

    SelectStar_c

    Not that I see the columns to the right. I could also just select the table with a tab and then if I remove my askterisk, I get a list of columns I can easily pick:

    SelectStar_d

    SQL Prompt makes this easier, but it isn’t that hard to just do this by hand. You could easily grab the columns you need from SSMS and add them to queries.

    The database is a limited resource, even if you have a 256 core server with 1024GB of RAM. You still want to query the data you need and only return what’s necessary. A little more effort when building code will pay off later with much better performing applications.

    References
    A few links from other people that see this as an issue as well.

  • Salaries and Experience

    One of the main reasons that I got into IT was the salary. Honestly, there were relatively few places where I thought I had a skill AND could make good money. I graduated with an economics degree, with the idea that I’d go to Wall Street, follow Gordon Gecko, and work 140 hours a week and make a few million.

    That was until I wrecked my shoulder playing rugby my senior year, realized that I wasn’t invincible, and decided there were more important things than my salary. However I still wanted to have a good living, I had some skills in technology, and I moved in that direction. When I heard that our DBA was making $90k a year at a time when I was making $45k, I decided I should learn more about databases.

    Across the last two decades of my career, I think I’ve been fortunate in my career. It’s been a lot of work, , and a lot of fun. I’ve tried to grow my career, learn new things, and find better opportunities over time and in new positions. I’ve had success, and I’ve found the experience has resulted in higher salaries for me. I found a blog about salaries recently that says it’s not only experience, but also location that matters in terms of salary. That’s probably true, though I think industry, the particular company, and other factors are important as well.

    For most of us, we don’t necessarily want to change locations, but we can do something about our experience. I’ve seen it written before that for people that have 10 years of experience, it could be gained two ways. They could have one year of experience ten times, or ten different years of experience (or some combination). The point is that you should be continually expanding on your experiences, not just relying on skills you learned a long time ago.

    You may or may not be able to get a job that pays you more with more experience. I’d like to think, however, that any investment in improving your skills and learning more about your craft, is never wasted.

    Steve Jones

  • Does Join Order Matter?

    According to Conor Cunningham, it doesn’t.

    I have heard that there are issues in the optimizer, and to be sure, there are cases where the order can matter, but for most normal queries, most inner joins, order doesn’t matter. As Conor says, it might seem that a change produces a new plan or changes the performance, but don’t assume that this correlation implies causality.