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You are done with all the required changes. Build it and run it on a device. You ve enhanced your unresponsive application and made it much more responsive! Oh by the way, there s just one more thing! NOTE: This version of the Interestingness project is in the folder Interestingness-Version4.

The last column in Table 8-1 shows the applicable datatypes for all group functions. The functions MIN and MAX are applicable to any datatype, including dates and alphanumeric strings. MIN and MAX need only an ordering (sorting) criterion for the set of values. Note also that you can apply the AVG function only to numbers, because the average is defined as the SUM divided by the COUNT, and the SUM function accepts only numeric data. Let s look at some group function examples in Listing 8-18. Listing 8-18. Some Examples of Group Functions SQL> 2 3 4 5 6 7 select , , , , from group e.deptno count(e.job) sum(e.comm) avg(e.msal) median(e.msal) employees e by e.deptno;

<Mark pretends to blow his nose on said patent> Here, I have reviewed it....

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Grand Central Dispatch, blocks, and OpenCL are only available on Snow Leopard GCD was implemented to move the job of managing, scheduling, distributing, and executing threads over multiple cores from the hands of application developers to the operating system A key part of the implementation of GCD on Mac OS X is the language extension to Objective-C, C, and C++ called blocks Blocks is not available for iPhone OS as a part of Apple s standard distribution of iPhone OS 312 and 32 However, a third-party implementation of blocks has been made available by Plausible Labs since July of 2009 for Leopard, Snow Leopard, and iPhone OS 22+ A new 11 beta 3 was released in March 2010 for Leopard and Snow Leopard that is compatible with the iPad OS Plausible Labs has verified that both the 10 and 1.

DEPTNO COUNT(E.JOB) SUM(E.COMM) AVG(E.MSAL) MEDIAN(E.MSAL) -------- ------------ ----------- ----------- -------------10 3 2916.667 2450 20 5 2175 2975 30 6 2200 1541.667 1375 SQL>

If you apply a group function to a set of column values, that set of values may contain duplicate values. By default, these duplicate values are all treated as individual values, contributing to the end result of all group functions applied to the set of values. For example, we have five employees in department 20, but we have only two different jobs in that department. Nevertheless, Listing 8-18 shows 5 as the result of COUNT(e.JOB) for department 20. If you want SQL group functions to ignore duplicate values (except one, of course), you must specify the keyword DISTINCT immediately after the first parenthesis. Although it is syntactically correct, the addition of DISTINCT is meaningless for the MIN and MAX functions. Look at Listing 8-19 for some examples. Listing 8-19. Using the DISTINCT Option for Group Functions SQL> select count(deptno), count(distinct deptno) 2 , avg(comm), avg(coalesce(comm,0)) 3 from employees; COUNT(DEPTNO) COUNT(DISTINCTDEPTNO) AVG(COMM) AVG(COALESCE(COMM,0)) ------------- --------------------- --------- --------------------14 3 550 157.1429 SQL> Note that Listing 8-19 also shows that you can use group functions in the SELECT clause of a query without a GROUP BY clause. The absence of a GROUP BY clause in combination with the presence of group functions in the SELECT clause always results in a single-row result. In other words, the full table is aggregated into a single row. You can achieve precisely the same result by grouping on a constant expression. Try this yourself; for example, see what happens if you add GROUP BY 'x' to the query in Listing 8-19.

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