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JDBC enables you to set the number of rows to prefetch when executing a SQL query. Row prefetch allows the user to specify the number of rows to fetch from the result set (the ResultSet object) in each round-trip to the database. This is one possible way that you can control how many rows are returned. When a SQL query is executed, the number of rows of data that a driver physically copies from the database to the client is called the fetch size. If you are performance-tuning a particular query, you might be able to improve the performance by adjusting the fetch size to better match the use of the query. You can set the fetch size on a Statement object; in this case, all result sets created from that statement will use that fetch size. You can also set the fetch size on a result set at any time. In this case, the next time data needs to be fetched from the database, the driver will copy over as many rows as is specified by the current fetch size.

To the paragraph of id message1, we assign a solid border of 2px thickness, align its text at the center of the browser window, and set it to appear in bold. The background color of the paragraph of id message2 is set to red, and the foreground color of the text is set to white and is aligned at the center of the browser window.

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The following example demonstrates how to set a fetch size using a Statement object: ResultSet rs = null; Statement stmt = null; Connection conn = null; try { // get a Connection object conn = getConnection(); // Get the fetch size of a statement stmt = conn.createStatement(); int fetchSize = stmt.getFetchSize(); // Set the fetch size on the statement // each driver might have a different default value for fetch size stmt.setFetchSize(200); // Create a result set rs = stmt.executeQuery("SELECT badge_number FROM employee_table"); // Change the fetch size on the result set rs.setFetchSize(400); } catch (SQLException e) { // handle the exception } finally { // close database/JDBC resources such as // ResultSet(s), Statement(s), and Connection(s) }

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11-12. How Do You Create a MySQL Table to Store Java Types (Using Statement Objects)

In the jQuery code, some text will gradually disappear using the slideDown() method and will be replaced with some other text that slowly appears using the slideUp() method, so let s take a look at the workings of these two methods. slideDown() displays the selected element with a sliding motion. .slideDown(speed, callback) speed decides the duration of the animation. It can be specified in terms of strings as fast, normal, or slow, or in milliseconds. The higher the number of milliseconds, the longer the animation will take. callback is the function that is fired on completion of the animation. Conversely, slideUp() makes the selected element invisible with a sliding motion. .slideUp(speed, callback) speed and callback have the same meaning as they do for slideUp(). In the jQuery code, we can see that the paragraph of id message1 is hidden and only the paragraph of id message2 is set to be visible. So, the output that we get initially is as shown in Figure 3-35. Also, a click event is attached to the visible paragraph. In the inline function of the click event, we have written code to make the visible paragraph (the paragraph of id message2) become slowly invisible by sliding up, and the paragraph of id message1 (which was initially invisible) to become visible slowly by sliding down.

The following example creates a MySQL table, called mysql_all_types_table, to store Java data types: Statement stmt = null; Connection conn = null; try { // get a Connection object conn = getConnection(); stmt = conn.createStatement(); StringBuffer allTypesTable = new StringBuffer("CREATE TABLE mysql_all_types("); // Column Name MySQL Type Java Type allTypesTable.append("column_boolean BOOL, " // boolean allTypesTable.append("column_byte TINYINT, " // byte allTypesTable.append("column_short SMALLINT, " // short allTypesTable.append("column_int INTEGER, " // int allTypesTable.append("column_long BIGINT, " // long allTypesTable.append("column_float FLOAT, " // float allTypesTable.append("column_double DOUBLE PRECISION, " // double allTypesTable.append("column_bigdecimal DECIMAL(13,0), " // BigDecimal allTypesTable.append("column_string VARCHAR(254), " // String allTypesTable.append("column_date DATE, " // Date allTypesTable.append("column_time TIME, " // Time

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