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any cursor for which more than three parse requests are made, the parse requests are automatically cached in the session cursor cache. Thus new calls to parse the same statement avoid the parsing overhead. Using the initialization parameter SESSION_CACHED_CURSORS and setting it to a high number makes the query processing more efficient. Although soft parses are cheaper than hard parses, you can reduce even soft parsing by using the SESSION_CACHED_CURSORS parameter and setting it to a high number. You can enforce session caching of cursors by setting the SESSION_CACHED_CURSORS in your initialization parameter file, or dynamically by using the following ALTER SESSION command: SQL> ALTER SESSION SET SESSION_CACHED_CURSORS = value; You can check how good your SESSION_CACHED_CURSORS parameter value is by using the V$SYSSTAT view. If the value of session cursor cache hits is low compared to the total parse count for a session, then the SESSION_CACHED_CURSORS parameter value should be bumped up. The perfect situation is where a SQL statement is soft parsed once in a session and executed multiple times. For a good explanation of bind variables, cursor sharing, and related issues, please read the Oracle white paper Efficient use of bind variables, cursor_sharing and related cursor parameters (http://otn.oracle.com/deploy/performance/pdf/cursor.pdf).

19,592 (1.00) 221,839 (1.00) 460,808 (1.00) 87,075 (1.00)

When the number of users keeps increasing, some systems have trouble coping Performance slows down dramatically in many systems as a result of trying to scale to increased user populations When your user counts are increasing, focus on unnecessary parsing in your system A high level of parsing leads to latch contention, which slows down the system Here are some guidelines that help summarize the previous discussion about the library cache, parsing, and the use of special initialization parameters: A standard rule is to put as much of the code as possible in the form of stored code packages, procedures, and functions so you don t have the problems caused by ad hoc SQL Use of ad hoc SQL could wreak havoc with your library cache, and it s an inefficient way to run a large application with many users.

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Using stored code guarantees that code is identical and thus reused, thereby enhancing scalability Lower the number of hard parses, as they could be expensive One way to convert a hard parse to a soft parse is to use bind variables, as you saw earlier in this chapter Reducing hard parsing reduces shared-pool latch contention If bind variables aren t being used in your system, you can use the CURSOR_SHARING=FORCE parameter to force the sharing of SQL statements that differ only in the value of literals Pay attention to the amount of soft parsing, not the per unit cost, which is much lower than that of a hard parse A high amount of soft parsing increases contention for the library cache latch and could lead to a slow-performing database The point to note here is to avoid any unnecessary soft parsing, which will end up costing you.

The definition of keys in the ntp.keys file does not mean they are going to be used. They have to be configured as trusted for the purposes of time synchronization, and the key identifiers then need to be used with server and peer commands.

Use the SESSION_CACHED_CURSORS initialization parameter to reuse the open cursors in a session If repeated parse calls are used for a SQL statement, Oracle moves the session cursor for that statement into the session cursor cache This, as you ve seen, reduces the amount of soft parsing Set the value of this parameter to somewhere between the value of the OPEN_CURSORS initialization parameter and the number of cursors that are being used in the session Use the CURSOR_SPACE_FOR_TIME initialization parameter (set it to TRUE) to prevent the early deallocation of cursors If you don t mind the extra cost of using more memory, this feature will enhance your application s scalability level..

317,433 (16.20) 224,739 (1.01) 475,312 (1.03) 6,469,635 (74.30)

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