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If I have three clients, and all of them attempt to run a 45-second process more or less at the same time, two of them will get their response in 45 seconds and the third will get its response in 90 seconds This is rule number one for shared server: make sure your transactions are short in duration They can be frequent, but they should be short (as characterized by OLTP systems) If they are not short, you will get what appears to be a total system slowdown due to shared resources being monopolized by a few processes In extreme cases, if all of the shared servers are busy, the system will appear to hang for all users except the lucky few who are monopolizing the shared servers Another interesting situation that you may observe when using shared server is that of an artificial deadlock.

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Using this technique, the caller uses polling operations to obtain feedback information. Figure 9-9 shows an example.

You can use the DBA_ADVISOR_TASKS view to check the findings of any of the management advisors. Here s a typical query: SQL> SELECT task_name,advisor_name,execution_start,how_created 2* FROM DBA_ADVISOR_TASKS; TASK_NAME ADVISOR_NAME EXECUTION_START HOW_CREATED ---------------------------------------------------------------------ADDM:877170026_1_2262 ADDM 07/28/2005 AUTO ADDM:877170026_1_2263 ADDM 07/28/2005 AUTO ADDM:877170026_1_2264 ADDM 07/28/2005 AUTO SQL>

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With shared server, a number of server processes are being shared by a potentially large community of users Consider a situation where you have five shared servers and one hundred user sessions established Now, at most, five of those user sessions can be active at any point in time Suppose one of these user sessions updates a row and does not commit While that user sits there and ponders his or her modification, five other user sessions try to lock that same row They will, of course, become blocked and will patiently wait for that row to become available Now, the user session that holds the lock on this row attempts to commit its transaction (hence releasing the lock on the row) That user session will find that all of the shared servers are being monopolized by the five waiting sessions.

The DBA_AUTO_SEGADV_SUMMARY view provides a summary of all the automatic Segment Advisor runs. In Oracle 10.2, the Segment Advisor is automatically scheduled to run during the maintenance period. This view shows you the segments processed and the job begin and end times, among other things. The related DBA_AUTO_SEGADV_CTL view shows you control information used by the Segment Advisor. You can find out the status of a Segment Advisor job, as well as the reason why a certain segment was chosen. Here s a simple query using this view: SQL> SELECT segment_name, status, reason FROM DBA_AUTO_SEGADV_CTL; SEGMENT_NAME STATUS -----------------------------MGMT_CURRENT_METRICS_PK COMPLETE MGMT_CURRENT_1HOUR_PK COMPLETE MGMT_CURRENT_METRICS_PK COMPLETE . . . SQL>

Figure 9-9. An asynchronous interaction, with feedback pulled from the callee After the caller invokes the callee on a secondary thread, the caller s main thread checks periodically for completion feedback. The caller might run a timer to protect itself in case the callee doesn t finish in the expected time frame. The completion feedback requests can be made on the caller s main thread or a dedicated thread. To support polled feedback, the callee should be reentrant and thread-safe, because the feedback requests will occur while the original command is in progress. As mentioned earlier, in the context of blind interactions, feedback only returns completion information, not progress updates. I ll deal with the latter in the next section.

The DBA_ADVISOR_FINDINGS view summarizes the findings discovered by each of the advisors. Here s an example using the view: SQL> SELECT task_name,type, impact_type, message 2 FROM DBA_ADVISOR_FINDINGS; TASK_NAME TYPE IMPACT_TYPE MESSAGE ------------------------------------------------------------------ADDM:877170026_1_2266 SYMPTOM Database time Wait class "User . . . ADDM:877170026_1_2266 PROBLEM Database time SQL statements Consuming significant database time . . . . . . SQL>

We have an artificial deadlock situation here: the holder of the lock will never get a shared server to permit the commit, unless one of the waiting sessions gives up its shared server But, unless the waiting sessions are waiting for the lock with a timeout, they will never give up their shared server (you could, of course, have an administrator kill their session via a dedicated server to release this logjam) So, for these reasons, shared server is only appropriate for an OLTP system characterized by short, frequent transactions In an OLTP system, transactions are executed in milliseconds nothing ever takes more than a fraction of a second Shared server is highly inappropriate for a data warehouse Here, you might execute a query that takes one, two, five, or more minutes Under shared server, this would be deadly.

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