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When the amount of active undo data generated by all sessions of a certain consumer group hits its pool limit (which you can set through Database Control, as shown in Figure 21-10), it will no longer be possible for members of that group to add more undo to current transactions or to start new transactions: they will hang until one transaction commits, thus freeing up space within the pool Meanwhile, other groups can continue working in the remainder of the undo tablespace This restricts the effect of generating too much undo to one group, rather than having it impact on all users
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In the discussion of consumer groups, you saw that one user can be a member of multiple groups, and that either the user or the system administrator can switch a user s session from one consumer group to another Why would one wish to do this From the user s point of view, they will presumably want to activate their membership in the group that has the highest priority at any given time So if the daytime plan gives priority to OLTP and the nighttime plan gives priority to DSS, then if you are a member of both groups, you will switch between them as the different plans are activated So whichever plan is enabled, you will always have the highest priority available to you The DBA may wish to switch users sessions for a very different reason: to reduce the impact one session is having on others This will mean identifying sessions that are causing problems and downgrading them, rather than upgrading them, which is what the typical user would like It may well be that a job that kills the database if run
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Figure 21-10
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at normal priority can run without impacting other sessions if its priority is reduced Of course, it will take longer to complete, but that may not be a problem (at least, not to everyone else) To do this manually would be extremely difficult, requiring continuous monitoring of sessions and workload This is exactly what the Resource Manager can do Automatic consumer group switching can switch a session permanently, or just for one call The former technique might be acceptable in a client-server environment where each end user has a dedicated session, but the latter technique will be preferable in cases where a large number of users are connected to an application server that is funneling their application server sessions through a small number of shared database sessions In this environment, each user will issue a series of commands through the application server, which may be picked up by any of the database sessions; there is not a persistent link between any one application server session and any one database session, so it becomes preferable to manage group switches at the call level Automatic consumer group switching can be based on the amount of CPU time or the amount of I/O (measured in megabytes or I/O requests) If the threshold is time based, it is possible to switch the session before the call starts if the optimizer estimates that the call might exceed the threshold TIP Enabling the switch-on-estimate capability places great faith in the accuracy of the optimizer s estimate This accuracy (or lack thereof) will be dependent on many factors, the accuracy of the object statistics in particular
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PART III
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Adaptive Consumer Group Mapping
The default method for assigning sessions to consumer groups is through the Oracle username, as specified by the INITIAL_RSRC_CONSUMER_GROUP displayed in DBA_USERS The initial group can be changed at any time, either manually or by the automatic consumer group switching capability based on the workload of the statements being executed While this is useful if users have their own schema login, in many environments this is not good enough for one simple reason: in large systems, it is common for all users to connect to the same schema Partly this is an administrative convenience (in an environment with hundreds or thousands of users, to manage security through the schema mechanism would be an impossible workload for the DBA) and for web applications it is an architectural limitation In an application server environment, a large number of users will connect to the application server using the stateless HTTP web protocol; the application server will connect to the database with a relatively small number of persistent database sessions The application server distributes the workload of requests from the users across the pool of database sessions, which are all connected as the same database user In an environment where many users share one schema, the schema identity is not sufficient to distinguish between them and allocate them to appropriate resource manager consumer groups For this reason, there are a number of other attributes of a session that can be used to map it (either permanently or temporarily) to a consumer group
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