Regular expression for validating date format ddmmyyyy

regular expression for validating date format ddmmyyyy-13
Once you create one based on your query, Oracle can get the results direct from the MV instead of executing the statement itself. Especially when the query processes millions of rows but there are only a handful in the output. Well in 12.2 we've created a new function, approx_percentile.

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Variable declarations are one of the more obvious problems you'll meet with longer names. This is limited to 4,000 bytes (32,767 if you’re using extended data types).

Let's look at a more subtle issue: The following query returns a comma-separated list of indexes for each table in your schema: This is all very well and good. So in 12.1 and 11.2, you needed 130 or more indexes on a table before you start running into issues.

But when it comes to naming things, we've made it harder than it ought to be. As a result, many people have asked for us to allow longer names. So even though the string above is only 67 characters, it needs 130 bytes!

I know some of you are desperate to start Creating Tables With Ridiculously Long Names. If your dev team uses sloppy coding practices, there may be some traps waiting for you... But as we just saw, upgrade to 12.2 and the limit is now 128 bytes!So it's only a matter of time before people create tables with longer names.Eventually this code will fail with: varchar2 ( 128 ), you could increase the size in a single place. The new release enables you to declare a variable length using a constant.Now you may be thinking: for something as common as object names, surely Oracle provides something stating their max length?The good news is: we do :) In DBMS_standard you'll find a new constants. As the name suggests, this states the maximum length for object names.With it comes a whole host of new features to help you write better, faster applications. So in 12.2 we offer a whole host of options to help you get the job done. The JSON_array* functions take a list of values and return it as an array i.e. For each row in the input, the non-agg versions of these functions output a row. For each department you want a JSON document that contains: select json_object ( 'department' value d.department_name, 'employees' value json_arrayagg ( json_object ( 'name' value first_name


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