Bind variables are a means of parameterizing SQL statements so that the statements have question marks or parameters in their where clauses, such as:
select count (*) from report where tenant = @tenant
select count (*) from report where tenant = ?
Bind variables allow the database server to prepare the statement once and execute it multiple times without reparsing or reanalyzing it.
Bind variables aren't applicable to statements that use literals, such as:
select count (*) from report where tenant = ‘xxxx’
These statements can't be parameterized and are reparsed and reanalyzed by the database server with each execution.
Bind variables generate high network and storage demands. To learn more about bind variables support and its availability, see Frequently asked questions below.
To enable SQL bind value capture
Whether you enable this setting site-wide or for individual process groups, you can use Dynatrace OneAgent to capture the values of bind variables. This is applicable to the following technologies:
If the array returned by executeBatch()
contains more than one element, indicating multiple commands were executed, Dynatrace masks the values of the bind variables to ensure data privacy. This is because different executions of executeBatch()
may aggregate multiple commands, necessitating the masking of bind variable values to prevent the exposure of sensitive information.
A sample result of this feature is distributed tracing. The following webpage illustrates the masking of bind variables.
Bind variables are considered confidential as they can contain IDs and other sensitive values. Learn how to ensure the data privacy of your customers.
Only users who have permission to view a specific entity or management zone can view the bind variables within that entity or zone.
This feature can capture a lot of sensitive data - consequently you should consider its usage carefully. The feature can also capture a lot of data and increase your network traffic and your storage requirement for distributed traces. Bind variables can also lead to increased processing and storage demands for your Managed Cluster.