DataFlux Data Management Studio 2.5: User Guide
| Classification | Description |
|---|---|
| LETTER | A letter or non-separating symbol |
| NUMBER | A numeric digit (0-9) |
| FULL SEPARATOR | A delimiting character, for example, spaces, dashes, and commas |
| LEAD SEPARATOR | A delimiter attached to the beginning of a word, for example, left parenthesis |
| TRAIL SEPARATOR | A delimiter attached at the end of a word, for example, a period |
| Operation | Description |
|---|---|
| USE | Use the character as-is in the word list and output tokens |
| TRIM | Omit from word list; trim leading/trailing characters in output tokens |
| SUPPRESS | Omit from the word list and output tokens |
Implicit separators are an optional feature of string chopping. For each parse definition, you can enable or disable implicit separation. If you enable implicit separators, a separator mark is placed wherever the classification of a character differs from the classification of the previous character in a string. To use implicit separation, on the Chop Table Editor screen, choose Options > Implicit Separation.
For example, using implicit separation, the phrase:
APT124
will be separated into two phrases:
APT 124
assuming that the letter "T" is assigned one classification such as "Letter" and the number "1" is assigned a different classification such as "Number." If both characters have the same classification, they will remain together. With implicit separation disabled, this phrase could be broken apart only by assigning separator functionality to the "T" or to the "1," but that change would affect every instance of those characters.
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Doc ID: dfU_Cstm_Chop_18002.html |