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That list contains the IDs of the products in that category Using these IDs, you ll be able to generate the required product list Although this sounds pretty complicated, it can be done using a single SQL query The real power of SQL lies in its capability to perform complex operations on large amounts of data using simple queries You ll learn how to make table joins by analyzing the product and product_category tables and by analyzing how you can get a list of products that belong to a certain category Tables are joined in SQL using the JOIN clause Joining one table with another results in the columns (not the rows) of those tables being joined When joining two tables, there always must be a common column on which the join will be made Suppose you want to get all the products in the category where category_id = 5.

By combining operators with references and constants, you can create countless formulas in SharePoint lists. Table 5-2 demonstrates common formulas using standard operators.

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It s just as important to display messages of successful operation as it is those related to failure. If you re writing a data processing or data migration program, it s likely that you ll leave your put_line() message in place. The thoughtful placement of success messages will narrow down the number of lines to investigate if an error does occur. For example, in Listing 7-1, I have five success messages. When an application error is raised on line 14, these messages will narrow the location of where the error actually took place. Listing 7-1. An Example of Success Messages Narrowing the Scope of an Error, success.sql 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 rem success.sql rem by Donald J. Bales on 12/15/2006 rem a script with success messages declare n_number begin pl('begin'); n_number := -1; pl('No error here!'); n_number := 0; pl('Still no error here!'); n_number := 'one'; pl('After the error.'); pl('end'); exception when OTHERS then raise_application_error(-20000, SQLERRM|| ' on assigning a value to n_number'|| ' in success.sql'); end; / When the script success.sql is executed, SQL*Plus outputs the following: number;

The query that joins the product and product_category tables is as follows: product_categoryproduct_id, product_categorycategory_id, productname FROM product_category INNER JOIN product ON productproduct_id = product_categoryproduct_id ORDER BY productproduct_id; SELECT.

SQL> @success.sql begin No error here! Still no error here! declare * ERROR at line 1: ORA-20000: ORA-06502: PL/SQL: numeric or value error: character to number conversion error on assigning a value to n_number in success.sql ORA-06512: at line 23 So, PL/SQL is reporting an ERROR at line 1: That doesn t make much sense. Yet, further down it reports an error at line 23. Hey, that doesn t help much either. It s just a line number by the exception, but it can t be the error it s a blank line! Where did the error occur It took place somewhere in the block of PL/SQL code in scope for the exception-handling section. Regardless, if we rely on our success messages, we can see that the error took place some time after the message Still no error here! and before After the error, and thus narrow down our search to lines 19 through 21. That helps. In addition to using success messages to narrow the scope of an error, I like to keep track of the number of inserts, updates, deletes, and selects and display them at the end of the procedure to verify that something has actually happened. If, on the other hand, you re writing table package or TYPE service methods, you may use put_line() messages during the development process, and then manually comment them out before going into production. Why just comment them out and not delete them altogether By leaving them commented out, you give support programmers a clue about a hard-to-understand or an error-prone section of code, and give them an opportunity to comment the put_line() back into play to help them debug your code in the future. So how can we use failure messages

Formulas in SharePoint lists are limited to formulas related to columns in a single row. For example, you cannot create a formula to calculate the variance from the average where you compare a cell in a column to the average of the column. However, you can include column and group totals using the COUNT, AVERAGE, MAXIMUM, MINIMUM,

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