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If you want to prevent problems, then assume nothing. A handful of capabilities built into PL/SQL are nothing but an invitation for trouble. They are all centered on data types and implicit conversion. What s implicit conversion Let s say you have a number held in a varchar2 data type variable, v_value. You try assigning n_value, a number data type variable, that value with the following line of code: n_value := v_value; That should work, right Yes, it should, but when it doesn t, because you don t actually have a numeric literal stored in variable v_value, the implicit data type conversion will raise an unexpected exception in your program unit, which will be hard to identify. By identify, I mean determine which line of code caused the error and why. Before we get to the solution for this problem, let s look at another example. This time, let s say you want to pass a date value to a function that will return the time in seconds since midnight, January 1, 1980. The function requires the date be passed as a varchar2 parameter in the form DD-MON-YY. Hey, no problem. Just pass the date variable: ... d_value n_value begin n_value := date_to_long(d_value); ... Oracle s default date format is DD-MON-YY, so it will work fine, right Not exactly. If the current NLS_DATE_FORMAT for the session is DD-MON-YY (the default), it will work, but not if it is YYYYMMDD HH24MISS, as I set mine every time I log in to SQL*Plus. What s the solution Use a combination of anchors, data type prefixes, and explicit conversions with blocking.

Okay, now that you know what you want, let s start writing some code. You ll start with the data tier.

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harePoint lists are surprisingly versatile. Not only can you add various types of columns (see 4), you can also create columns that contain simple or complex formulas. You can do standard operations such as addition and subtraction, or make use of SharePoint s long list of available functions. Many of the Excel functions you ve grown to know and love are available for use in SharePoint lists. You can create calculated columns that is, formulas based on columns in a row or you can display column totals. The best part is that you can export formulas created in a SharePoint list for use in Excel. (Unfortunately, the reverse isn t true Excel formulas are converted to values when an Excel worksheet is imported to a SharePoint list.) In this chapter, we ll show you how to create formulas in a SharePoint list, and we ll explore many of the most useful functions available to you.

date := SYSDATE; number;

In the following exercise, you ll create the data tier functions one at a time, and we ll comment a little upon each one of them.

I ve already discussed anchors in 3. They are those wacky looking data type declarations that use the %TYPE or %ROWTYPE keyword. For example, here s a list of variables declared in a manner so they match the data types of their corresponding table columns: ... d_birth_date n_gender_id v_name ...

Formulas in SharePoint take a little more effort to create than in Excel because you have to create a calculated column, and then create the formula for the column. However, once you do that, the column is locked so users cannot inadvertently overwrite the formula, as they might do in Excel.

1. Load pgAdmin III, and connect to the hatshop database. 2. Click Tools Query tool (or click the SQL button on the toolbar). A new query window should appear. 3. Use the query tool to execute this code, which creates the order_short_details type and orders_get_most_recent_orders function in your hatshop database: -- Create order_short_details type CREATE TYPE order_short_details AS ( order_id INTEGER, total_amount NUMERIC(10, 2), created_on TIMESTAMP, shipped_on TIMESTAMP, status INTEGER, customer_name VARCHAR(50) ); -- Create orders_get_most_recent_orders function CREATE FUNCTION orders_get_most_recent_orders(INTEGER) RETURNS SETOF order_short_details LANGUAGE plpgsql AS $$ DECLARE inHowMany ALIAS FOR $1; outOrderShortDetailsRow order_short_details; BEGIN FOR outOrderShortDetailsRow IN SELECT order_id, total_amount, created_on, shipped_on, status, customer_name FROM orders ORDER BY created_on DESC LIMIT inHowMany LOOP RETURN NEXT outOrderShortDetailsRow; END LOOP; END; $$;

WORKER_T.birth_date%TYPE; WORKER_T.gender_id%TYPE; WORKER_T.name%TYPE;

How does using anchors help prevent errors Since each variable is anchored to the data type of the column in a table for which it will be used to temporarily hold a value, SQL and PL/SQL will not need to perform an implicit data type conversion when values are moved between the SQL and PL/SQL. Explicitly anchoring the data types of variables to their database counterparts prevents implicit conversions. Preventing implicit conversions prevents errors. But if you re going to anchor variables to their corresponding database columns or attributes, why use data type prefixes

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