ibm-information-center/dist/eclipse/plugins/i5OS.ic.rzaik_5.4.0.1/odbcquerytoola.htm

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<meta name="DC.Title" content="Example: Query tool A" />
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<h1 class="topictitle1">Example: Query tool A</h1>
<div><p>This example illustrates using ODBC bound columns to retrieve information
faster.</p>
<div class="section"><p>Query Tool A makes the following ODBC calls to process SELECT
statements: </p>
<pre> SQLExecDirect("SELECT * FROM table_name")
WHILE there_are_rows_to_fetch DO
SQLFetch()
FOR every_column DO
SQLGetData( COLn )
END FOR
...process the data
END WHILE</pre>
</div>
<div class="section"><p>This tool does not make use of ODBC bound columns, which can help
performance. A faster way to process this is as follows: </p>
<pre> SQLExecDirect("SELECT * FROM table_name")
FOR every_column DO
SQLBindColumn( COLn )
END FOR
WHILE there_are_rows_to_fetch DO
SQLFetch()
...process the data
END WHILE</pre>
</div>
<div class="section"><p>If a table contained one column, there would be little difference
between the two approaches. But for a table with a 100 columns, you end up
with 100 times as many ODBC calls in the first example, <em>for every row fetched</em>.
You also can optimize the second scenario because the target data types specified
by the tool will not change from one FETCH to the next, like they could change
with each <strong>SQLGetData</strong> call.</p>
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<div class="parentlink"><strong>Parent topic:</strong> <a href="rzaiktoolsbadperf.htm" title="The following examples demonstrate performance problems that are associated with writing SQL and ODBC calls that do NOT take advantage of a unique feature of a particular ODBC driver or the server database management system.">Examples: Common tool behaviors that degrade ODBC performance</a></div>
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