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00) UNION CORRESPONDING BY (MFR, PRODUCT) (SELECT * FROM PRODUCTS WHERE (PRICE * QTY_ON_HAND) > 30000) In a case like this one where all of the corresponding (that is, identically named) columns from the two tables participate in the UNION operation, SQL2 even allows you to leave off the explicit list of column names: Show all products for which there is an order over $30,000 or more than $30,000 worth of inventory on hand (SELECT * FROM ORDERS WHERE AMOUNT > 3000000) UNION CORRESPONDING (SELECT * FROM PRODUCTS WHERE (PRICE * QTY_ON_HAND) > 30000) Finally, it's worth noting that the column alias capability of the query specification can be used to rename or assign names to the columns from the individual query results that are being combined with the UNION operation.

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FIRST Retrieves the first row from your cursor s query results, regardless of how many FETCH statements have been executed since opening the cursor. LAST Retrieves the last row from your cursor s query results, regardless of how many FETCH statements have been executed since opening the cursor. ABSOLUTE <value> Retrieves the row specified by the <value> placeholder. The value must be an exact numeric, although it can be derived from a host variable. The numeric identifies which row is returned by the FETCH statement. For example, ABSOLUTE 1 returns the first row, ABSOLUTE 2 returns the second row, and ABSOLUTE -1 returns the last row. RELATIVE <value> Retrieves the row specified by the <value> placeholder, relative to the cursor s current position. If you use RELATIVE in the first FETCH statement after you open the cursor, RELATIVE 1 returns the first row from the cursor s query results, and RELATIVE -1 returns the last row. However, if the cursor is not at the beginning of the query results, as it is when you first open the cursor, RELATIVE 1 and RELATIVE -1 return rows relative to the cursor position as it was left after the last executed FETCH statement.

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Create Barcodes With (Or Without) Excel VBA
27 Feb 2014 ... Create barcodes in Excel . Easy to implement barcodes that you can use for inventory, tracking and all sorts of things.

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Whenever you open a cursor, the cursor points to the beginning of the query results. The FETCH statement moves the cursor to the row designated by the fetch orientation option. If no option is specified, NEXT is assumed, and the cursor always points to the next row in the query results. To help illustrate how the fetch orientation options work, let s take another look at a cursor we declared earlier in the chapter:

If we eliminate the assumption that the PRODUCTS and ORDERS tables use the same column names, it's still possible to use the CORRESPONDING form of the UNION operation in this query simply by renaming the columns in one of the tables: Show all products for which there is an order over $30,000 or more than $30,000 worth of inventory on hand (SELECT FROM WHERE UNION (SELECT FROM WHERE * ORDERS AMOUNT > 3000000) CORRESPONDING MFR_ID AS MFR, PRODUCT_ID AS PRODUCT) PRODUCTS (PRICE * QTY_ON_HAND) > 30000).

DECLARE CD_2 SCROLL CURSOR FOR SELECT * FROM CD_INVENTORY ORDER BY COMPACT_DISC FOR READ ONLY;

Notice that the SCROLL keyword is specified and that the SELECT statement retrieves all rows and columns from the CD_INVENTORY table. Also notice that the SELECT statement includes an ORDER BY clause that sorts the query results in ascending order according to the values in the COMPACT_DISC column. This is important because the FETCH statements move through the rows in the query results in the order specified by the ORDER BY clause, regardless of how rows are ordered in the underlying table. Now let s take another look at the query results returned by the SELECT statement in the CD_2 cursor. The query results, in the form of a virtual table, are shown in Figure 15-4. Notice that the illustration includes pointers that represent the various types of FETCH statements (based on their fetch orientation). In each case, the pointer is based on a FETCH statement that is the first to be executed after the cursor has been opened.

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In this simple example, there is not much advantage in this construct, but in the more general case where the individual queries involve calculated columns or are grouped queries, the CORRESPONDING clause and column aliases can help to clarify the meaning

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