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You may recall from the last chapter that all SQL code goes through the parse, optimize, and execute phases. When an application issues a statement, Oracle first sees whether a parsed version of the statement already exists. If it does, the result is a so-called soft parse and is considered a library cache hit. If, during a parse phase or the execution phase, Oracle isn t able to find the parsed version or the executable version of the code in the shared pool, it will perform a hard parse, which means that the SQL statement has to be reloaded into the shared pool and parsed completely. During a hard parse, Oracle performs syntactic and semantic checking, checks the object and system privileges, builds the optimal execution plan, and finally loads it into the library cache. A hard parse involves a lot more CPU usage and is inefficient compared to a soft parse, which depends on reusing previously parsed statements. Hard parsing involves building all parse information from scratch, and therefore it s more resource intensive. Besides involving a higher CPU usage, hard parsing involves a large number of latch gets, which may increase the response time of the query. The ideal situation is where you parse once and execute many times. Otherwise, Oracle has to perform a hard parse.

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High hard parse rates lead to severe performance problems, so it s critical that you reduce hard parse counts in your database.

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Example 8 Two persons, A and B, are talking on the phone. Person A asks, What time is it Person B replies, 2:30 p.m. When asking the question, person A expects a response to be returned very quickly. Because the interaction is expected to be brief, he puts his other activities and thoughts on hold momentarily until the response is returned. Person B also knows the request will only take a few seconds to handle, and also decides to put everything else on hold while looking at his watch. The interaction is therefore synchronous. Person A can t watch person B as the latter determines the time because person A has no idea exactly what is going on at the other end of the line. The interaction is therefore blind. Example 9 A navigation system in an avionics package uses a Global Positioning System (GPS) receiver to get the current position. The GPS receiver always maintains the current position internally, so it can honor requests almost immediately at all times. The navigation system uses a synchronous blind interaction to interrogate the receiver for the current position. Assume the specifications for the GPS receiver indicate that data is generally returned in less than 50 microseconds. A synchronous blind

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A soft parse simply involves checking the library cache for an identical statement and reusing it. The major step of optimizing the SQL statement is completely omitted during a soft parse. There s no parsing (as done during a hard parse) during a soft parse, because the new statement is hashed and its hash value is compared with the hash values of similar statements in the library cache. During a soft parse, Oracle only checks for the necessary privileges. For example, even if there s an identical statement in the library cache, your statement may not be executed if Oracle determines during the (soft) parsing stage that you don t have the necessary privileges. Oracle recommends that you treat a hard parse rate of more than 100 per second as excessive.

In 19, you learned how to use the SQL Trace and TKPROF utilities to trace SQL statement execution. One of the most useful pieces of information the SQL Trace utility provides concerns the hard and soft parsing information for a query. The following simple example demonstrates how you can derive the parse information for any query: 1. Enable tracing in the session by using the following command: SQL> ALTER SESSION SET SQL_TRACE=TRUE; Session altered. SQL> To make sure none of your queries were parsed before, flush the shared pool, which removes all SQL statements from the library cache: SQL> ALTER SYSTEM FLUSH SHARED_POOL; System altered. SQL>

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