Voice of the DBA

Tag: presentations

  • Preparation for Disaster Talk

    This talk looks at the reasons and ways that you might prepare for disaster. I cover a number of areas, some of which might seem obvious, but are often overlooked:

    • What is a disaster?
    • Why Prepare for Disaster?
    • RTO/RPO
    • Overview of SLAs
    • Backups as insurance for issues
    • Checks for corruption
    • A checklist of skills to practice
    • Scripting and scheduling

    This talk was built at the request of Red Gate Software, my employer, so I have also included a few demos in the talk:

    • Object Level Restore with Data Compare
    • Quick overview of SQL Backup Pro
    • Running DBCC using Virtual Restore

    I can also do this talk without the Red Gate demos at a 75 minute pace.

    Length: 60 Minutes

    General Slides are available on SkyDrive.

    Specific Decks for Events:

    SQL in the City – LA 2011

    SQL Server Connections

    Related Blogs

    I have a number of blogs that are related to this particular talk:

  • Common SQL Server Mistakes

    This presentation is designed to cover some of the basic mistakes that I find people making quite often when working with SQL Server. It is a mix of development and administrative items, designed to help beginners get a grounding in those skills that often cause the most problems in SQL Server.

    The talk is 75 minutes.

    Slide Decks:

  • Common SQL Server Mistakes – Functions in the WHERE Clause

    This continues my series on Common SQL Server mistakes, looking at more T-SQL mistakes.

    What’s Wrong?

    If you saw a query like this, would you see a problem?

    select
      o.OrderID
      , o.CustomerID
      , o.Qty
    from Orders o
    where datepart( yyyy, o.OrderDate) = '2010'

    If there are 1,000 orders in this table, there probably isn’t an issue. But if there are 1,000,000, then this is an issue.

    Why? Let’s examine the execution plan:

    This table has 1000 rows in it, but it doesn’t use indexing to find those orders that were placed in 2010. Instead it scans all rows. The reason is that the function being used in the WHERE clause means that the index cannot be used.

    Instead, what you would want to do is write the query like this:

    select
      o.OrderID
      , o.*
      , o.Qty
    from [OrderItems] o
    where o.OrderDate >= '20100101'

    In this way, we eliminate the function from the WHERE clause and allow the query optimizer to take advantage of the indexes on the column OrderDate.

    You see similar issues with queries like:

    select
    lastname
    from Person.Contact
    where left(Lastname, 1) = 'S'

    This can be fixed as:

    select
    lastname
    from Person.Contact
    where Lastname like 'S%'

    Basically you want to move the function away from the column and put it on the other side of the comparison so that indexes can be used.

    Too often we have developers writing queries like this, assuming that the functions are efficient. They are, but when they are executed against every row in a table, an index can’t be used for seek operations, which are always quicker than scans for any significant data set.

    When you are writing queries, do your best to avoid functions against columns in your tables. Instead try to rework the query to move the function. An alternative that I’ll blog about another time is computed columns.

  • Common SQL Server – Not Indexing FKs

    This series looks at Common SQL Server mistakes that I see many people making in SQL Server.

    Foreign Keys

    It’s way too often that I see people building databases without including declared referential integrity (DRI) in their databases. Even when I see people setting a primary key on tables, it seems that often they ignore foreign keys and creating linkages between tables that link them together.

    However, even when people have declared a FK, they often don’t create an index on that column. Perhaps they assume that SQL Server will create the index like it does for PKs, but it does not.

    If I create these two tables and join them with a FK:

    CREATE TABLE [dbo].[Products](
        [ProductID] [int] NOT NULL,
        [ProductName] [varchar](50) NULL,
    CONSTRAINT [PK_Products] PRIMARY KEY CLUSTERED
    (
        [ProductID] ASC
    )
    ) ON [PRIMARY]

    GO
    CREATE TABLE [dbo].[ProductDetails](
        [ProductDetailID] [int] NOT NULL,
        [ProductID] [int] NULL,
        [SKU] [varchar](50) NULL,
        [Price] [numeric](18, 2) NULL,
    CONSTRAINT [PK_ProductDetails] PRIMARY KEY CLUSTERED
    (
        [ProductDetailID] ASC
    )
    ) ON [PRIMARY]
    GO
    ALTER TABLE [dbo].[ProductDetails]  WITH CHECK ADD  CONSTRAINT [FK_ProductDetails_Products] FOREIGN KEY([ProductID])
    REFERENCES [dbo].[Products] ([ProductID])
    GO

    ALTER TABLE [dbo].[ProductDetails] CHECK CONSTRAINT [FK_ProductDetails_Products]
    GO

    If I go and check indexes on ProductDetails, I find that there is only one index, the index for the PK.

    FKIndex_a

    Why is this a problem? It’s because of performance. We should realize that indexes speed up performance by reducing the amount of work that SQL Server has to do.

    With FK columns, what I’ve often found with child tables is that I know the value of the FK column I am searching for and don’t need to join with the parent table. However without an index on the FK column, this query requires a table scan.

    select
    sku
    , price
    from ProductDetails pd
    where pd.ProductID = 3

    If you are creating FKs in your database, don’t forget to index them where appropriate.

    Auto Creation

    I’ve seen some people ask why SQL Server doesn’t automatically create indexes on those FK columns. I am torn on this, but I like the 80/20 rle. If 80% of the tables would benefit from it, I think it should be done. I am leaning towards some intelligent mechanism to do this.

    The main issue is that you might not want just an index on the FK column. You might want some sort of covering index that includes columns in addition to the FK column to prevent key/bookmark lookups to the clustered index. If you can avoid those, you can drastically increase performance.

    There is also the chance that with your query load, you never use these indexes. That can be horrible for performance as well since there is overhead to maintain these indexes on all insert/update/delete operations.

    The Advice

    Look at the queries that are coming into your database. Check the missing index DMVs and if you find that the FK columns are being used, index them.

    If you’re not sure, or don’t know how to look for missing indexes, here’s a reference.