ArcSDE DBTUNE and disk configuration for the Production Mapping workspace in SQL Server (Production Mapping)

DBTUNE storage parameters allow you to control how ArcSDE technology creates objects within an enterprise geodatabase in SQL Server. You can determine how to allocate space to a table or index, in which FileGroup a table or index is created, and other SQL Server-specific storage attributes. They also allow you to specify one of the available storage formats for the geometry of a spatial column.

The DBTUNE storage parameters are stored in the DBTUNE table. The DBTUNE table, along with all other metadata tables, is created in the database when the Create Enterprise Geodatabase or Enable Enterprise Geodatabase tool is executed.

If a large number of database connections are accessing the same files in the same location on the disk, database performance will be slow because the connections are competing with one another for the same resources. To reduce this competition, you can store database files in different locations on the disk.

For example, DBTUNE can be modified to store the Production Mapping workspace tables in separate data files in different locations on the disk. This will lead to reduced disk contention and improved database input/output.

Standard GIS storage recommendations favor keeping index and log files separate from vector and tabular business tables. For performance reasons, it is better to position the business, feature, and spatial index tables separately and position FileGroup data files based on their usage pattern. For a multiversioned, highly active editing geodatabase, database files of the VERSIONS FileGroup may be separated and dispersed across available disks to avoid input/output contention.

Disk configuration

Large production enterprise geodatabase systems should employ a hardware striping solution. Your best disk and data organization strategies involve spreading your data across multiple disks.

With data spread across multiple disks, more spindles actively search for it. This can increase disk read time and decrease disk contention. However, too many disks can slow down a query. There are two main ways of achieving striping: FileGroups and redundant array of independent disks (RAID). You can also combine the two by creating FileGroups within disk arrays. You can employ data segregation strategies; keeping tables from indexes or certain types of tables from other tables will improve performance and alleviate administrative burdens.

The suggested SQL Server optimal configuration is as follows:

Reducing disk input/output contention

As a rule, you should create database files as large as possible based on the maximum amount of data you estimate the database will contain to accommodate future growth. By creating large files, you can avoid file fragmentation and gain better database performance. In many cases, you can let data files grow automatically; just be sure to limit autogrowth by specifying a maximum growth size that leaves some available hard disk space. By putting different FileGroups on different disks, you can also help eliminate physical fragmentation of your files as they grow.

To configure data and log files for best performance, follow these best practices:

The following is a suggested design to reduce disk input/output contention:

File type

Database activity

Move file to disk with

Transaction log files

Frequent edits

Relatively low input/output

Transaction log files

Few or no edits

Moderate input/output


Frequent edits

Low input/output but separate from transaction log files

master, model, msdb

Few edits

Moderate input/output


Frequent edits

Relatively low input/output