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of the language. This has been done with a number of languages, including COBOL, C, and even Java. The following is an example of SQLJ in Java:
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String name; Date hiredate; #sql { SELECT emp_name, hire_date INTO :name, :hiredate FROM employee WHERE emp_num = 28959 };
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Inline SQL is quite elegant in that it integrates tightly with the language. Native language variables can be passed directly to the SQL as parameters, and results can be selected directly into similar variables. In a sense, the SQL becomes a feature of the language. Unfortunately, inline SQL is not widely adopted and has some significant issues keeping it from gaining any ground. First, SQL is not a standard. There are many extensions to SQL and each only works with one particular database. This fragmentation of the SQL language makes it difficult to implement an inline SQL parser that is both complete and portable across database platforms. The second problem with inline SQL is that it is often not implemented as a true language feature. Instead, a precompiler is used to first translate the inline SQL into proper code for the given language. This creates problems for tools like integrated development environments (IDEs) that might have to interpret the code to enable advanced features like syntax highlighting and code completion. Code that contains inline SQL may not even be able to compile without the precompiler, a dependency that creates concerns around the future maintainability of the code. One solution to the pains of inline SQL is to remove the SQL from the language level, and instead represent it as a data structure (i.e., a string) in the application. This approach is commonly known as Dynamic SQL. Dynamic SQL Dynamic SQL deals with some of the problems of inline SQL by avoiding the precompiler. Instead, SQL is represented as a string type that can be manipulated just like any other character data in a modern language. Because the SQL is represented as a string type, it cannot interact with the language directly like inline SQL can. Therefore, Dynamic SQL implementations require a robust API for setting SQL parameters and retrieving the resulting data.
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A hybrid solution: combining the best of the best
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Dynamic SQL has the advantage of flexibility. The SQL can be manipulated at runtime based on different parameters or dynamic application functions. For example, a query-by-example web form might allow the user to select the fields to search upon and what data to search for. This would require a dynamic change to the WHERE clause of the SQL statement, which can be easily done with Dynamic SQL. Dynamic SQL is currently the most popular means of accessing relational databases from modern languages. Most such languages include a standard API for database access. Java developers and .NET developers will be familiar with the standard APIs in those languages: JDBC and ADO.NET, respectively. These standard SQL APIs are generally very robust and offer a great deal of flexibility to the developer. The following is a simple example of Dynamic SQL in Java:
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String name; Date hiredate; String sql = "SELECT emp_name, hire_date" + " FROM employee WHERE emp_num = "; Connection conn = dataSource.getConnection(); PreparedStatement ps = conn.prepareStatement (sql); ps.setInt (1, 28959); ResultSet rs = ps.executeQuery(); while (rs.next) { name = rs.getString("emp_name"); hiredate = rs.getDate("hire_date"); } rs.close(); Should be in try-catch conn.close(); block
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Without a doubt, Dynamic SQL is not as elegant as inline SQL, or even stored procedures (and we even left out the exception handling). The APIs are often complex and very verbose, just like the previous example. Using these frameworks generally results in a lot of code, which is often very repetitive. In addition, the SQL itself is often too long to be on a single line. This means that the string has to be broken up into multiple strings that are concatenated. Concatenation results in unreadable SQL code that is difficult to maintain and work with. So if the SQL isn t best placed in the database as a stored procedure, or in the language as inline SQL, or in the application as a data structure, what do we do with it We avoid it. In modern object-oriented applications, one of the most compelling solutions to interacting with a relational database is through the use of an object/relational mapping tool.
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