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Selectivity = (required range) / (high value - low value) + 2 * density = (200 117)/(251-117) + (117-100)/(117-17) + 2 * 0.000177746 = 0.619403 + 0.17 + .000355486 = 0.789047508 Cardinality = selectivity * number of rows IN A BUCKET = 0.789047508 * 80 = 63.1238 Sure enough, when we run the query with autotrace, we see the following: Execution Plan (9.2.0.6 autotrace) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=60 Card=63 Bytes=945) 1 0 TABLE ACCESS (FULL) OF 'T1' (Cost=60 Card=63 Bytes=945) The second test case is, of course, a range scan across buckets with a popular value: n1 between 400 and 600. (One of my spikes was at n1 = 500.) We need to check up on a little section from the histogram that will be relevant: ENDPOINT_NUMBER ENDPOINT_VALUE --------------- -------------12 357 13 450 19 500 20 520 21 598 22 670
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The toVariable attribute specifies the name of the parent report variable whose value is to be copied/incremented with the value from the subreport. The name is checked at compile time to ensure it is an existing variable name of the master report. At fill time, the system checks that the types of the subreport and master variables are compatible.
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For example, you could have a method called GetPending() that performs a database query and returns a string to be bound, and use that as follows: <asp:label id="lblPending" runat="server" Text="<%# GetPending() %>" /> Similarly, if you had a page-level variable called userID, you could bind that to any control you wanted with the following code (for a label in this case): <asp:label id="lblPending" runat="server" Text="<%# userID %>" /> Just as easily, you could refer to a dataset variable defined in the code-behind page to show the count of the rows in a table: <asp:label id="lblPending" runat="server" Text="<%# dsUserTables(0)RowsCount %>" /> As you can see, the mechanism is very flexible You just need to perform the appropriate variable initialization or method coding If you intend to use data binding, though, you need to do a little advance planning.
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Note that 500 is a (very) popular value with six buckets allocated from the histogram. So we expect to account for at least six buckets plus the rest of the range. Checking carefully, we see that the range 400 to 600 will extend from buckets 12 to 22 broken down as follows: A selection from 357 to 450 All buckets from 450 to 598 A selection from 598 to 670 So we have eight whole buckets (endpoint_numbers 13 to 21) plus (450 - 400) / (450 - 357) + (600 - 598) / (670 - 598) + 2 * 0.000177746 = 50 / 93 + 2 / 72 + 0.000355486 = 0.537634 + 0.0277778 + 0.000355486 = 0.565768 Remembering to add the 8 for the complete buckets, we get a cardinality of Cardinality = selectivity * number of rows IN A BUCKET = 8.565867 * 80 = 685.3 And again, running the query through autotrace, we get
Typically, you ll define a page-level variable to hold the data (say, a dataset), fill it using a data adapter as you saw in 4, and finally call DataBind() in the page itself This will cause all the controls that have binding expressions to be populated with the values from the justfilled dataset..
Execution Plan (9.2.0.6 autotrace) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=60 Card=685 Bytes=10275) 1 0 TABLE ACCESS (FULL) OF 'T1' (Cost=60 Card=685 Bytes=10275) Note, because 8i uses a call to the old analyze mechanism to generate histograms, the histogram and the density will not match the figures for 9i and 10g. However, the principles of the arithmetic are the same once the histogram and density have been generated.
A value returned from a subreport can simply be copied into the target master report variable, or it can be subject to a certain type of calculation made on the variable. The type of the operation performed with the returned value is specified by the calculation attribute, which works like the homonym attribute of the <variable> element (see the Calculations section of 8). The default value is Nothing, which means that the value returned from the subreport will be simply copied into the master report variable.
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