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If you are using any OCI applications and drivers such as JDBC and ODP.NET, you can also use Oracle s client-side caching of SQL result sets in the Client Query Result Cache that s located on the server. The database keeps the result sets consistent with changes in session attributes. If you ve frequently repeated statements in your applications, client-side caching could offer tremendous improvement in query performance benefits. Since the database caches results on the clients, server round-trips are minimized and scalability improves as a result, with lower I/O and CPU load. Unlike server-side caching, client-side caching isn t enabled by default. If your applications produce small result sets that are static over a period of time, client-side caching may be a good thing to implement. Frequently executed queries and queries involving lookup tables are also good candidates for client-side caching.

Forces If a single process P1 is monitoring multiple processes Pi, it is possible for more than one of the i processes to have new status information at the same time. Allowing each of the Pi processes to send the information immediately would create the requirement for P1 to handle multiple status updates simultaneously. This would require P1 to use multiple threads or other computational resources, which could result in a significant amount of complexity. If P1 controls the timing of the status exchanges, a specific order can be imposed on status retrieval from each of the Pi processes, using simple synchronous requests.

As with server-side caching, you use the RESULT_CACHE_MODE initialization parameter to enable and disable client-side caching. The RESULT_CACHE and the NO_RESULT_CACHE hints work the same way as they do for server-side caching. If you choose to specify the MANUAL setting for the RESULT_CACHE_MODE parameter, you must use the RESULT_CACHE hint in a query for the query s results to be cached. Also, the two hints override the setting of the RESULT_CACHE_MODE parameter, as in the case of server-side caching. You pass the RESULT_CACHE and the NO_RESULT_CACHE hints to SQL statements by using the OCIStatementPrepare() and the OCIStatementPrepare2() calls.

There are two initialization parameters that control how the Client Query Result Cache works. Here s a brief description of these parameters: CLIENT_RESULT_CACHE_SIZE: Determines the maximum client per-process result set cache size (in bytes). If you set this parameter to zero, you disable the Client Query Result Cache. The database allocates the maximum-size memory to every OCI client process by default.

You can override the setting of the CLIENT_RESULT_CACHE_SIZE parameter with the server-side parameter OCI_RESULT_CACHE_MAX_SIZE. By setting the latter to zero, you can disable the Client Query Result Cache.

In general, polling is a pull type of interaction and is especially efficient when new data is frequently available or if changes occur with some predictability If changes occur rarely, many requests by the interrogator will result in a no-new-information response, which usually equates to a wasted or useless interaction You can use a pull interaction pattern to poll multiple respondents in sequence A respondent can be anything from a hardware mechanism to a variable to a remote process After one respondent is polled, the next one is polled, and so on After polling the last respondent in the sequence, the entire process repeats This interaction arrangement is known as round-robin polling, and is shown in Figure 9-3 Round-robin polling applies to situations in which respondents are reliable and respond quickly.