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ODBC Catalog Functions
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All of the catalog functions return their information as if they were a set of query results. The application program uses the techniques already described for CLI query processing to bind the columns of returned information to program variable areas. The program then calls SQLFetch() to work its way through the returned information. For example, in the results returned by the SQLTables() call, each SQLFetch()retrieves information about one table in the data source.
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Extended ODBC Capabilities
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ODBC provides a set of extended capabilities beyond those specified in the SQL/CLI standard. Many of the capabilities are designed to improve the performance of ODBC-based applications by minimizing the number of ODBC function calls an application program must make and/or the amount of network traffic generated by the ODBC calls. Other capabilities provide useful features for maintaining database independence or aid an application program in the database connection process. Some of the capabilities are provided through the additional set of ODBC function calls shown in Table 19-5. Others are provided through statement or connection attributes. Many of these additional capabilities were introduced in the 3.0 revision of ODBC and are not yet supported by most ODBC drivers or ODBC-based applications.
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19:
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SQL APIs
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Function SQLBrowseConnect() SQLDrivers() SQLDriverConnect() SQLNumParams() SQLBindParameter() SQLDescribeParam() SQLBulkOperations() SQLMoreResults() SQLSetPos() SQLNativeSQL()
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Description Supplies information about available ODBC data sources and the attributes required to connect to each Returns a list of the available drivers and driver attribute names Works as an extended form of the SQLConnect() call for passing additional connection information Returns the number of parameters in a previously prepared SQL statement Provides extended functionality beyond the SQL/CLI SQLBindParam() call Returns information about a parameter Performs bulk insertion and bookmark operations Determines whether more results are available for a statement Sets the cursor position within a retrieved set of query results for positioned operations Returns the native SQL translation of a supplied ODBC-compliant SQL statement text
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TABLE 19-5
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Additional ODBC Functions
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Two of the extended ODBC features are focused on the connection process. Connection browsing is designed to simplify the data source connection process and make it more database independent. SQLBrowseConnect() supports an iterative style of connection for access to ODBC data sources. An application program first calls the function with basic information about the target data source, and the function returns additional connection attributes needed (such as a user name or password). The application program can obtain this information (for example, by prompting the user) and then can recall SQLBrowseConnect() with the additional information. The cycle continues until the application has determined all of the information required for a successful SQLConnect() call. The connection pooling capability is designed to improve the efficiency of ODBC connect/disconnect processing in a client/server environment. When connection pooling is activated, ODBC does not actually terminate network connections upon receiving a SQLDisconnect() call. Instead, the connections are held open in an idle state for some period and reused if a SQLConnect() call is made for the same data source. This reuse of connections can significantly cut down the network and login/logout overhead in client/ server applications that involve short transactions and high transaction rates.
Extended Connection Capabilities
PART V
SQL Dialect Translation
ODBC specifies not just a set of API calls, but also a standard SQL language dialect that is a subset of the SQL standard. It is the responsibility of ODBC drivers to translate the ODBC dialect into statements appropriate for the target data source (for example, modifying
Part V:
Programming with SQL
date/time literals, quote conventions, keywords, and so on). The SQLNativeSQL() call allows the application program to see the effect of this translation. ODBC also supports escape sequences that allow an application program to more explicitly direct the translation of SQL features that tend to be less consistent across SQL dialects, such as outer joins and pattern-matching search conditions.
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