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Data type prefixes help prevent errors in two ways. One is that when you declare a variable with a data type prefix, you re documenting that you understand that the data type is a date, number, or varchar2. You re saying, Hey, I know what this is! From that point in your coding forward, you can work with that assertion in place, to make sure that you re not doing any implicit conversions. Preventing implicit conversions prevents errors. Data type prefixes also make it clear that a data type conversion is necessary. If you find yourself coding away in the far recesses of your stored procedure, and you come to a line where you re going to make an assignment and the data type prefixes are not the same, you know that you need to code an explicit data type conversion. In turn, coding an explicit data type conversion will prevent an implicit conversion. Again, preventing implicit conversions prevents errors. So let s look at how you code an explicit data type conversion.

This does an atomic, synchronization-free update of atom. It reads the old value, passes it to the update function, and then tries to do an atomic set. If the atomic set succeeds (the old value has not changed during the update), then the set was successful because the mutation was done on the most recent version of the data. If compareAndSet fails, it increments the clashCnt and tries again.

Isolation (enum)

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When you perform an explicit conversion, you can wrap your PL/SQL statements in their own PL/SQL block, or as I like to say, block your code. This allows you to catch any exceptions raised during the data type conversion, so you can do something intelligent with your newfound knowledge of the error. You perform an explicit data type conversion by using one of the following functions: to_char(): Used to convert a date or number to a varchar2 data type to_date(): Used to convert a varchar2 to a date data type to_number(): Used to convert a varchar2 to a number data type

if (atom.compareAndSet(old, update(old))) () else { clashCnt.incrementAndGet doSet(atom)(update) } }

For example, to convert the value January 1, 1980 in variable d_date to a varchar2 data type for variable v_date in the form YYYYMMDD, you could use the following code: v_date := to_char(d_date, 'YYYYMMDD'); It s unlikely that converting from a date (or number) to a varchar2 is ever going to cause an error, but, on the other hand, it s very likely an error will occur if you convert from a varchar2 to a date, as in the following: ... begin d_date := to_date(v_date, 'YYYYMMDD'); exception when OTHERS then pl(SQLERRM); pl('Converting "'||v_date||'" to a date using format YYYYMMDD'); raise_application_error(-20001, SQLERRM|| ' converting v_date to d_date'|| ' in my_program_unit.method'); end; ... In this example, if the character representation of the date in variable v_date is not in the format YYYYMMDD, the to_date() function will raise an appropriate exception. The enclosing PL/SQL block will echo the details to the screen using put_line() via pl(), and then raise an application error that will report exactly where the error occurred in the program. This, in turn, will give you details as to why there was an error, so you are armed with good error information when you start troubleshooting, not some time after you are well into troubleshooting. Just as to_date() and to_char() have formats they can use to specify the conversion parameters, so does to_number(). You can find the details on these formats in the freely available PL/SQL User s Guide and Reference. You can find this and the rest of the Oracle documentation set online at http://otn.oracle.com. So the proper use of the combination of anchors, data type prefixes, and explicit conversion functions will prevent many unexpected errors. Next, let s see how you can better prepare for those that will still eventually arrive.

The repeatEvery method creates a control structure. It takes two parameters, len and body. Both are call-by-name, which means that each time they re referenced in the body of repeatEvery, the code from the call site will be executed.

Preparing for trouble ahead of time means preparing for troubleshooting ahead of time. How do you prepare for troubleshooting You can do that by using blocks and bread crumbs. You can block (wrap code in its own PL/SQL block) risky code ahead of time. When I say risky code, I mean: Explicit data type conversions Movement of larger character strings to shorter character variables Singleton SQL statements

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