DMS metrics are used to measure the performance of application components.
This chapter discusses the following topics:
Note:There is another kind of metrics called end-to-end metrics. End-to-end metrics are used for tagging application activity from the entry into the application code through JDBC to the database and back.
JDBC supports the following end-to-end metrics:
If you want to work with the preceding metrics, then you can use the
getEndToEndMetrics methods of the
In Oracle Database 10g, Oracle Java Database Connectivity (JDBC) supports end-to-end metrics. In Oracle Database 11g Release 2 (11.2), an application can set the end-to-end metrics directly only when it does not use a DMS-enabled JAR files. But, if the application uses a DMS-enabled JAR file, the end-to-end metrics can be set only through DMS.
For more information about end-to-end metrics, refer to Oracle Database JDBC Java API Reference.
Oracle strongly recommends using DMS metrics, if the application uses a DMS-enabled JAR file.
DMS metrics enable application and system developers to measure and export customized performance metrics for specific software components. All DMS metrics are available in the following DMS-enabled JAR files:
Any other JDBC JAR files do not generate any DMS metrics. The metrics generated in the Oracle JDBC 11g release are different from 10.2, 10.1, 9.2, and earlier versions of Oracle JDBC as it makes no attempt to retain compatibility with earlier versions. There are also no compatibility modes. A system that is dependent on the exact details of the DMS metrics generated by earlier versions of JDBC may have unexpected behavior when processing the metrics generated by Oracle JDBC 11g. This is by design and cannot be changed.
Statement metrics can be reported consolidated for all statements in a connection or individually for each statement. All DMS metrics, except those related to individual statements, are enabled at all times.
Note:You can enable or disable the
SQLTextstatement metric. It is disabled by default. If enabled, it is enabled for all statements.
To determine whether to use consolidated or individual metrics, JDBC checks the DMSConsole sensor weight. If the sensor weight is less than or equal to
DMSConsole.NORMAL, then JDBC generates consolidated statement metrics. If the sensor weight is greater than
DMSConsole.NORMAL, then JDBC generates individual statement metrics.
JDBC checks the DMSConsole sensor weight when creating a Prepared or Callable statement and depending on the sensor weight at the time the statement is created, the metrics are generated. Changing the value of the sensor weight, after the statement has been created, does not cause a statement to switch between consolidated and individual metrics.
Note:In the presence of Statement caching, it may appear that changing sensor weight has no impact as statements are retrieved from the cache rather than created anew.
There is only one list of statement metrics that is generated for both consolidated and individual statement metrics. The only difference between these two lists is the aggregation of the statements. When individual statement metrics are generated, one set of metrics is generated for each distinct statement object created by the JDBC driver. On the other hand, when consolidated statement metrics are generated, all statements created by a given connection use the same set of statement metrics.
For example, consider an '
execute' phase event. If individual statement metrics are used, then each statement created will have a distinct '
execute' phase event. So, from two such statements, it will be possible to distinguish the execution statistics for the two separate statements. If one has an execution time of 1 second and the other an execution time of 3 seconds, then there will be two distinct 'execute' phase events, one with a total time and average of 1 second and the other with a total time and average of 3 seconds. But, if consolidated statement metrics are used, all statements will use the single '
execute' phase event common to the connection. So, from two such statements created by the same connection, it will not be possible to distinguish the execution statistics for the two statements. If one has an execution time of 1 second and the other an execution time of 3 seconds, then the common '
execute' phase event will report a total execution time of 4 seconds and an average of 2 seconds.
Depending on the version of DMS, there are two mechanisms for determining the generating of the
SQLText statement metrics:
If the 11g version of the DMS JAR file is present in the
classpath environment variable, then JDBC checks the DMS update SQL text flag. If this flag is
true, then the
SQLText metric is updated.
If the 11g version of the DMS JAR file is not present in the
classpath environment variable, then JDBC uses the value of the
DMSStatementMetrics connection property. If this statement property is
SQLText metric is updated. The default value of this connection property is
Whether or not the
SQLText metric will be generated is independent of the use of the type of statement metrics used, that is, individual statement metrics or consolidated statement metrics.
JMX (Java Management Extensions) is a Java technology that supplies tools for managing and monitoring applications, system objects, devices, service-oriented networks, and the JVM (Java Virtual Machine). You can easily access DMS metrics at run time using a management application that supports JMX. For more information about using JMX to access DMS data, go to the following URL