SSIS Tuning – What Size is my row, your DIY Buffer Sizing Guide

When looking to improve the performance of an SSIS package, one of the common recommendations listed in many places is to modify your buffers so that you can load as much data into a single buffer size as possible. According to Microsoft, for optimal performance, SSIS should be configured for maximum memory utilization by having buffers with as many rows as possible without exceeding the internal 100 MB limit. Ok now that you know what Microsoft says about the topic, how does one put it in practice? I thought it might be nice to post the How-To as it is a little complicated.

Buffer Tuning Parameters

There are a couple of default settings that are used for loading data into memory and they all need to line up correctly to keep data from being sent from memory to disk. In order to set the size appropriately, it is best to apply the Price Is Right Axiom.

DefaultMaxBufferSize – the default is 10 MB. The maximum size is 100MB, which SSIS stores as MaxBufferSize. This value can never be any bigger than 100MB, so size it appropriately for it’s environment.

DefaultMaxBufferRows – The default is 10,000 rows. This setting needs to be set the same way that you win with the Price is Right . To win, the default max buffer rows * (times) the row size needs to be as close to DefaultMaxBufferSize as possible without going over.

Size Matters

To figure out what to put in the DefaultMaxBufferRows, one needs to know how big the rows are. Remember to win the value must be as close to the size of DefaultMaxBufferSize without going over. If the buffer is sized too large, the package will be slower as rows will be cached to disk, so make sure you don’t miss by even a little. How big is the row size? There are a number of ways of figuring this out. You can look at each field in the query SSIS is loading, and based on the data type, add up the value of all the fields. Fortunately that isn’t the only way to figure out the row size. If your data source is SQL Server, you are in luck, as the system tables can help to determine what the size is. Here is a sample the query, assuming your table name is Address, which you can run on the AdventureWorks database.

Exec sp_SpaceUsed 'Person.Address'

The Results are

name         rows    reserved       data          index_size    unused
Address    19614   5960 KB      2784 KB     2688 KB      488 KB

To figure out what the size of your buffer should be for this entire table is to take the number of (data *1024)/ Rows as 100MB is the max size you can set. To calculate the row size, use the formula values 19614 / 2784 * 1024  = 145.346, or 146 bytes per row.  If you set DefaultMaxBufferRows to 100MB, which is the maximum and what I recommend in most cases, it is 104857600 bytes is the Buffer Size.  Buffer Size/ Row size = DefaultMaxBufferRows. 104857600 / 146 = 718202.73 so set the DefaultMaxBufferRows to 728203  If  you are using the columns, you can get the same information by looking at the  syscolumns.  By using the column length, it is relatively easy to figure out what the appropriate size of your buffer should be, by adding up the column lengths. One word of caution. I do not wish to imply that because the information is available on a per table basis one should pick Table or View in the SSIS source. Au contraire. Always access the data by using a Select statement as it performs better.

Validate

To ensure that you have improved the buffer size performance, check it. After you are done with the settings, Enable logging on the data flow task, and select the BufferSizeTuning event to see how many rows are contained in each buffer.

Please feel free to drop me a line if you find this helpful.

Yours Always

Ginger Grant

Data aficionado et SQL Raconteur

3 comments on “SSIS Tuning – What Size is my row, your DIY Buffer Sizing Guide

  1. Pingback: SQL 2016 SSIS new feature AutoAdjustBufferSize – Another SQL Geek

  2. Pingback: Size does matter: SSIS DefaultBuffer | Michellea David, Sr. DBA

  3. Loyd Collier

    Thanks Ginger,
    This was very Helpful for me to begin tuning some of our many SSIS Packages.
    Loyd C.

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