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Misses in library cache during parse: 1 We can see that in case 2, Oracle needed to parse only once (a hard parse, as indicated by the misses in library cache being 1) for all five iterations. We can conclude that whenever possible, we should prepare a statement only once, and bind or execute it many times to reduce the number of soft parses and the associated overhead. However, there are situations where this may not be straightforward. For example, I work in an environment where there are around 500 other developers all over the world working on the same product with different components. With each request, statements and result sets are created and closed using a centralized piece of code that implements connection pooling (connection pooling is covered in the next chapter). If I wanted to implement statement caching in such a scenario, I would have to implement and maintain my own centralized cache associated with a connection object, through which all code would need to be channeled. The closing of statements and cursors would also need to go through this piece of code, requiring a disciplined approach from all the developers. We would also have to manage the cache (aging out statements and so on). Fortunately, with JDBC 3.0, this functionality (called statement caching) is now available as part of JDBC, wherein this cache is created and managed transparently by the driver. Before we look at statement caching, we will look at the related concept of session cursor caching, which is a mechanism Oracle provides to cache the cursors automatically in the session on the server side, to reduce the impact of soft parsing. We will then examine PL/SQL cursor caching, after which we will discuss JDBC statement caching.

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Each state in this extract corresponds to one or more items, which are productions that indicate what has been seen while parsing them. This current position with respect to a rule is marked with a period (.). Furthermore, to each state belongs various actions that are triggered by certain look-ahead symbols. For instance, the action in some state as follows: action 'ID' (noprec): shift 7

In Oracle, when the opening and closing of cursors occurs repeatedly, the associated cursors can be cached in the session cursor cache. If you enable session cached cursors, the overhead of the soft parse decreases if you get a cache hit. Note that even if you get a hit in the session cache, Oracle still needs to validate that the opened cursor points to valid SQL in the shared pool (it could have been invalidated for some reason, such as schema changes since the last parse). Thus, it still needs to soft-parse the statement, although the soft parse in this case is less CPU-intensive and hence called a softer soft parse.

NET 2005 than it is in Visual Studio NET 2003 In 2003, for example, there is no compilation for markup (aka your aspx files) An error in an aspx page is not caught until the page is actually requested, when the runtime code-gen and compilation occurs VS NET 2K5 compiles aspx files, which means you catch more problems earlier in the process a good thing, to be sure This is just one of a handful of features that fall under an umbrella called Dynamic Compilation..

Note If the session cache is enabled and you get a hit in the cache, the soft parse done is called a softer

indicates that if the ID token, which has no defined precedence, is encountered as look-ahead, the parser will push this token to the parsing stack and shift to state 7. For reduce actions, the rule that is reduced is shown. An error (reject) and accept action is shown for tokens that trigger a syntax error or acceptance, respectively. The parser state extract also provides useful information on conflicts in your grammar. Conflicts arise when your grammar is ambiguous (which translates to having more than one choice for a parser action at any time), ultimately meaning there can be more than one derivation that accepts a given input. You can do a number of things to disambiguate your grammar. You can apply precedence to various tokens or rules or rewrite your rules to be consistent and unambiguous. There are two main sources of grammar conflicts: reduce-reduce and shift-reduce

Visual Studio .NET 2005 compiles markup. Consider this line of code in an aspx file, a simple TextBox declaration, but we have forgotten a closing tag: <asp:TextBox ID=txtFirstName Text='Bob' runat=server> Compiling produces the errors shown in Figure 3-9, pulled from the Error List window.

soft parse since it is less expensive compared to the case when session cache is disabled or when it is enabled but you don t get a hit in the cache.

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