rdlc data matrix

rdlc data matrix

rdlc data matrix

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The first select item asks SQL to generate a multirow table of detailed query results one row for each salesperson. The second select item asks SQL to generate a one-row column of summary query results containing the total of the SALES column. The two SELECT items contradict each other, producing an error. For this reason, either all column references in the select list must appear within the argument of a column function (producing a summary query), or the select list must not contain any column functions (producing a detailed query), except as described in the Grouped Queries section later in this chapter.

to the disk clutch. In either case, an axial force is applied to the flat surfaces of the elements to produce tangential frictional forces.Typically not more than the outer 40 percent of the radius is used. The ratio of inside to outside diameters may be as high as 0.80/1. Contact-Pressure Distribution. The reasoning used to establish pressure distribution on the annular clutch or brake plate is the same as that used for cone clutches and brakes. After an initial wear-in period, the pressure distribution accommodates itself to a constant rate of wear across the active portion of the disk (Fig. 8.25). Equations (8.52) and (8.53) apply here also. Axial Actuating Force. For a given set of dimensions and a permissible contact pressure, the corresponding actuating force is given by Eq. (8.55), which was developed for cone clutches and brakes. Torque Capacity. For this pressure distribution, the torque capacity is 1 T = [ fpmaxd(D2 d2)Np] 8 (8.58)

The SUM(), AVG(), MIN(), MAX(), and COUNT() column functions each take a column of data values as their argument and produce a single data value as a result. What happens if one or more of the data values in the column is a NULL value The ANSI/ISO SQL standard specifies that NULL values in the column are ignored by the column functions. This query shows how the COUNT() column function ignores any NULL values in a column:

Although the torque equation could be derived independently, it can also be derived directly from Eq. (8.54) by setting the cone angle = 90 and inserting Np, the num-

SELECT COUNT(*), COUNT(SALES), COUNT(QUOTA) FROM SALESREPS; COUNT(*) COUNT(SALES) COUNT(QUOTA) --------- ------------- ------------10 10 9

It is a very bold assertion to suggest that streaming media might be a better form of information delivery than books However, there are some significant characteristics of streaming digital media that books cannot match With streaming media, you can access vast libraries of information from wherever you happen to be, without having to travel to a library or carry the library with you There is no need for consumers to store the physical media assets or even their catalog of items of interest These can be streamed to whatever streaming media playback device you happen to have to hand Streaming media adds graphical animations and vivid moving images to illustrate the points made in a piece of text, for example Books are unable to provide such animations to explain points made in the body of the book.

FIGURE 8.24 An oil-actuated multiple-disk clutch for enclosed operation in an oil spray or bath. (Twin Disc, Inc.)

The SALESREPS table contains ten rows, so COUNT(*) returns a count of ten. The SALES column contains ten non-NULL values, so the function COUNT(SALES) also returns a count of ten. The QUOTA column is NULL for the newest salesperson. The COUNT(QUOTA) function ignores this NULL value and returns a count of nine. Because of these anomalies, the COUNT(*) function is almost always used instead of the COUNT() function, unless you specifically want to exclude NULL values in a particular column from the total. Ignoring NULL values has little impact on the MIN() and MAX() column functions. However, it can cause subtle problems for the SUM() and AVG() column functions, as illustrated by this query:

FIGURE 8.25 A friction member of a multiple-disk clutch or brake with the pressure distribution for uniform wear.

SELECT SUM(SALES), SUM(QUOTA), (SUM(SALES) SUM(QUOTA)), SUM(SALES QUOTA) FROM SALESREPS; SUM(SALES) SUM(QUOTA) (SUM(SALES) SUM(QUOTA)) SUM(SALES QUOTA) -------------- -------------- ------------------------ ----------------$2,893,532.00 $2,700,000.00 $193,532.00 $117,547.00

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Part II: