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Oracle provides moving or rolling window functions as part of the analytical function set. This gives you the ability to reference any number of preceding rows in a result set, the current row in the result set, and any number of following rows in a result set. Our initial recipe uses the current row and the three preceding rows to calculate the rolling average of order values. select to_char(order_date, 'MM') as OrderMonth, sum(order_total) as MonthTotal, avg(sum(order_total)) over (order by to_char(order_date, 'MM') rows between 3 preceding and current row) as RollingQtrAverage from oe.orders where order_date between '01-JAN-1999' and '31-DEC-1999' group by to_char(order_date, 'MM') order by 1; We see the month, the associated total, and the calculated rolling three-month average in our results. OR MONTHTOTAL ROLLINGQTRAVERAGE -- ---------- ----------------02 120281.6 120281.6 03 200024.1 160152.85 04 1636 107313.9 05 165838.2 121944.975 06 350019.9 179379.55 07 280857.1 199587.8 08 152554.3 237317.375 09 460216.1 310911.85 10 59123.6 238187.775 11 415875.4 271942.35 12 338672 318471.775 11 rows selected. You might notice January (OrderMonth 01) is missing. This isn t a quirk of this approach: rather it s because the OE.ORDERS table has no orders recorded for this month in 1999.

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Now that the configuration element has been started, you are able to write the individual configuration elements in sequence; these are the <defaultfeed>, <dbconnection>, and <maxchannelitems> elements, all of which are empty except the last element, which has a default value of 30 An alternative to this technique is to use the XMLDocument class to create an in-memory DOM and use methods such as CreateElement() or CreateAttribute() to manipulate this XML document in memory You would then use the Save() method to serialize this to a persistent store such as a file..

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This includes not only single methods and classes, but also whole packages, such as javabeansbeancontext These are there without any other reason than compatibility They are maintained simply to fulfill the promise once made to Java developers Indeed, delivering long-term compatibility is a huge achievement Time and money have to be invested in keeping promises of this kind Sustaining solutions is costly, and sustaining those that are known to be wrong, or that have been superseded by newer versions, is boring, especially over several years There has to be a significant vision motivating that level of compatibility The motivation has to be so significant that people coming from this background need to believe that this is the only way of working They need to believe that either they.

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Our SELECT statement for a rolling average starts by selecting some straightforward values The month number is extracted from the ORDER_DATE field using the TO_CHAR() function with the MM format string to obtain the month s number We choose the month number rather than the name so that the output is sorted as a person would expect Next up is a normal aggregate of the ORDER_TOTAL field using the traditional SUM function No magic there We then introduce an OLAP AVG function, which is where the detail of our rolling average is managed That part of the statement looks like this avg(sum(order_total)) over (order by to_char(order_date, 'MM') rows between 3 preceding and current row) as RollingQtrAverage All of that text is to generate our result column, the ROLLINGQTRAVERAGE Breaking the sections down will illustrate how each part contributes to the solution.

If you compile and execute the assembly that results from setting the previous code, you ll notice that the form doesn t look as expected; for example, where did the buttons go They do exist, honestly! It s just that the controls have not been associated with the form, and even if they had, they would all have a default location of the top-left corner of the form and so would be overwritten by each other. To set the controls locations, you need to specify exactly where you want the controls to be located using the Location property, which encapsulates the Top and Left properties. These properties affect the location of the control as you would expect: the Top property is the number of pixels from the top of the form s client area, and the Left property is the number of pixels from the left of the form s client area. Figure 6-13 shows these properties.

The leading functions, AVG(SUM(ORDER_TOTAL)), suggest we are going to sum the ORDER_TOTAL values and then take their average That is correct to an extent, but Oracle isn t just going to calculate a normal average or sum These are OLAP AVG and SUM functions, so their scope is governed by the OVER clause The OVER clause starts by instructing Oracle to perform the calculations based on the order of the formatted ORDER_DATE field that s what ORDER BY TO_CHAR(ORDER_DATE, 'MM') achieves effectively ordering the calculations by the values 02 to 12 (remember, there s no data for January 1999 in the database) Finally, and most importantly, the ROWS element tells Oracle the size of the window of rows over which it should calculate the driving OLAP aggregate functions In our case, that means over how many months should the ORDER_TOTAL values be summed and then averaged.

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