Separate Numeric/Non-Numeric/Date Values in Oracle SQL (Basic 1 - 17)

There are several ways to separate numeric, non-numeric, and date values in Oracle SQL. This can be useful for a variety of purposes, such as data analysis, data cleaning, and data visualization.

Using the TRANSLATE Function

The TRANSLATE function allows you to replace a sequence of characters in a string with another sequence of characters. You can use this function to separate numeric and non-numeric values by replacing all non-numeric characters with an empty string.

To separate numeric values:

SQL

SELECT * FROM table_name WHERE TRANSLATE(column_name, '0123456789', '') IS NOT NULL;

To separate non-numeric values:

SQL

SELECT * FROM table_name WHERE TRANSLATE(column_name, '0123456789', '') IS NULL;

Using the TO_DATE Function

The TO_DATE function converts a string to a date value. You can use this function to separate date values from other types of values by trying to convert the string to a date value. If the conversion is successful, then the string is a date value. Otherwise, it is not a date value.

To separate date values:

SQL

SELECT * FROM table_name WHERE TO_DATE(column_name, 'DD-MON-YYYY') IS NOT NULL;

Using Regular Expressions

Regular expressions are a powerful tool for matching and extracting patterns from text. You can use regular expressions to separate numeric, non-numeric, and date values by matching the specific patterns that each type of value follows.

For example, the following regular expression will match any numeric value:

^[0-9]+$

You can use this regular expression to separate numeric values from other types of values as follows:

SQL

SELECT * FROM table_name WHERE REGEXP_LIKE(column_name, '^[0-9]+$');

You can also use regular expressions to separate date values from other types of values. For example, the following regular expression will match any date value in the format DD-MON-YYYY:

[0-9]{2}[\-]{1}[a-zA-Z]{3}[\-]{1}[0-9]{4}

You can use this regular expression to separate date values from other types of values as follows:

SQL

SELECT * FROM table_name WHERE REGEXP_LIKE(column_name, '[0-9]{2}[\-]{1}[a-zA-Z]{3}[\-]{1}[0-9]{4}');

Conclusion

There are several ways to separate numeric, non-numeric, and date values in Oracle SQL. The best method to use will depend on your specific needs and requirements.