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The SQL language provides a number of features that help to protect the integrity of data stored in a relational database: Required columns can be specified when a table is created, and the DBMS will prevent NULL values in these columns. Data validation is limited to data type checking in standard SQL, but many DBMS products offer other data validation features. Entity integrity constraints ensure that the primary key uniquely identifies each entity represented in the database. Referential integrity constraints ensure that relationships among entities in the database are preserved during database updates. The SQL2 standard and newer implementations provide extensive referential integrity support, including delete and update rules that tell the DBMS how to handle the deletion and modification of rows that are referenced by other rows. Business rules can be enforced by the DBMS through the trigger mechanism popularized by Sybase and SQL Server. Triggers allow the DBMS to take complex actions in response to events such as attempted INSERT, DELETE, or UPDATE statements. Check constraints provide a more limited way to include business rules in the definition of a database and have the DBMS enforce them.

Dynamic SQL *

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strcpy(stmtbuf, "select "); /* Set up error processing */ exec sql whenever sqlerror goto handle_error; exec sql whenever not found goto no_more_columns; /* Query the system catalog to get column names for the table */ exec sql open tblcurs; for ( ; ; ) { 2 /* Get name of next column and prompt the user */ exec sql fetch tblcurs into :querycol; printf("Include column %s (y/n) ", querycol); gets(inbuf); if (inbuf[0] == 'y') { /* User wants the column; add it to the select list */ if (colcount++ > 0) strcat(stmtbuf, ", "); strcat(stmtbuf, querycol); } } no_more_columns: exec sql close tblcurs; /* Finish the SELECT statement with a FROM clause */ strcat(stmtbuf, "from "); strcat(stmtbuf, querytbl); /* Allocate SQLDA for the dynamic query */ query_da = (SQLDA *)malloc(sizeof(SQLDA) + colcount * sizeof(SQLVAR)); query_da->sqln = colcount; /* Prepare the query and ask the DBMS to describe it */ exec sql prepare querystmt from :stmtbuf; exec sql describe querystmt into qry_da; /* Loop through SQLVARs, allocating memory for each column */ for (i = 0; i < colcount; I++) { qry_var = qry_da->sqlvar + I; qry_var->sqldat = malloc(qry_var->sqllen); qry_var->sqlind = malloc(sizeof(short)); } /* SQLDA is all set; do the query and retrieve the results! */ exec sql open qrycurs; exec sql whenever not found goto no_more_data; for ( ; ; ) { /* Fetch the row of data into our buffers */ exec sql fetch sqlcurs using descriptor qry_da; 3 4

I The DESCRIBE statement is used both to obtain descriptions of query results (DESCRIBE OUTPUT) and to obtain descriptions of parameters (DESCRIBE INPUT). I The EXECUTE, OPEN, and FETCH statements are slightly modified to specify the SQL2 descriptor by name instead of the SQLDA.

FIGURE 18-9

Summary

Data retrieval with dynamic SQL (continued)

This chapter described dynamic SQL, an advanced form of embedded SQL. Dynamic SQL is rarely needed to write simple data processing applications, but it is crucial for building general-purpose database front-ends. Static SQL and dynamic SQL present a classic trade-off between efficiency and flexibility, which can be summarized as follows: I Simplicity. Static SQL is relatively simple; even its most complex feature, cursors, can be easily understood in terms of familiar file input/output concepts. Dynamic SQL is complex, requiring dynamic statement generation, variable-length data structures, and memory management, with memory allocation/deallocation, data type alignment, pointer management, and associated issues. I Performance. Static SQL is compiled into an application plan at compile-time; dynamic SQL must be compiled at runtime. As a result, static SQL performance is generally much better than that of dynamic SQL. The performance of dynamic SQL is dramatically impacted by the quality of the application design; a design that minimizes the amount of compilation overhead can approach static SQL performance. I Flexibility. Dynamic SQL allows a program to decide at runtime which specific SQL statements it will execute. Static SQL requires that all SQL statements be coded in advance, when the program is written, limiting the flexibility of the program. Dynamic SQL uses a set of extended embedded SQL statements to support its dynamic features: I The EXECUTE IMMEDIATE statement passes the text of a dynamic SQL statement to the DBMS, which executes it immediately. I The PREPARE statement passes the text of a dynamic SQL statement to the DBMS, which compiles it into an application plan but does not execute it. The dynamic statement may include parameter markers whose values are specified when the statement is executed.

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