Recall that the key fields and the fields from the largest record are automatically included as explicit columns in the database table. All fields are stored and retrieved from the database, whether they appear as explicit columns or not. So you don't need to use WHEN unless you want to ensure that some additional fields are explicitly listed by name in the table.
WHEN declares that the field (or subordinate fields, if it is a group item)that immediately follow the directive must appear as a column (or columns) in the database table. It also states one condition under which the columns are to be used. The WHEN directive guarantees that the fields will be explicitly included in the table - as long as they aren't FILLER and don't occupy the same area as key fields.
Syntax
$XFD WHEN field=value (equals) $XFD WHEN field<=value (is less than or equals) $XFD WHEN field<value (is less than) $XFD WHEN field>=value (is greater than or equals) $XFD WHEN field>value (is greater than) $XFD WHEN field!=value (is not equal to) $XFD WHEN field=OTHER or *(( XFD WHEN field=value )) (also <, <=, >, >=, !=)The value may be an explicit data value (in quotes). The word OTHER can be used only with =. It means use the following field(s) only if the WHEN condition(s) listed at the level of this field are not met.
For example:
03 ar-code-type pic x. *(( xfd when ar-code-type = "s" )) 03 ship-code-record pic x(4). *(( xfd when ar-code-type = "b" )) 03 backorder-code-record redefines ship-code-record. *(( xfd when ar-code-type = other )) 03 obsolete-code-record redefines ship-code-record.OTHER may be used before one record definition, and may be used once at each level within each record definition.
NOTE
A WHEN directive with condition OTHER must be used if there is a possibility that the data in the field will not meet any of the explicit conditions specified in the other WHEN directives. If this is not done, results are undefined.
Example 1
If the following code were compiled without directives, the underlined fields would appear explicitly in the database table. Note that the key fields would be included automatically, as would the fields from the largest record. FILLER would be ignored:
01 ar-codes-record. 03 ar-codes-key. 05 ar-code-type pic x. 05 ar-code-num pic 999. 01 ship-code-record. 03 filler pic x(4). 03 ship-instruct pic x(15). 01 terms-code-record. 03 filler pic x(4). 03 terms-rate-1 pic s9v999. 03 terms-days-1 pic 9(3). 03 terms-rate-2 pic s9v999. 03 terms-descript pic x(15).If you added the WHEN directive as shown below, it would cause the fields from the SHIP-CODE-RECORD to be included in the database table, and would determine when specific database columns would be used. The underlined fields would appear as columns in the database table:
01 ar-codes-record. 03 ar-codes-key. 05 ar-code-type pic x. 05 ar-code-num pic 999. $xfd when ar-code-type = "s" 01 ship-code-record. 03 filler pic x(4). 03 ship-instruct pic x(15). $xfd when ar-code-type = "t" 01 terms-code-record. 03 filler pic x(4). 03 terms-rate-1 pic s9v999. 03 terms-days-1 pic 9(3). 03 terms-rate-2 pic s9v999. 03 terms-descript pic x(15).FILLER data items don't have unique names and are thus not used to form columns in the database table. You could use the NAME directive to give them a name if you really need to see them in the database table. However, in this example the FILLER data items implicitly redefine key fields. Thus, they would be disregarded even if you provided a name for them.
Example 2
In the following code, in which no WHEN directives are used, the underlined fields will be explicitly named in the database table. (Key fields have the suffix key in their names in this example.)
Note that REDEFINES records simply re-map the same data area and are not explicitly included in the database table by default:
01 archive-record. 03 filler pic x(33). 03 archive-code pic 9(6). 03 archive-location pic 9(2). 03 filler pic x(10). 01 master-record. 03 animal-id-key. 05 patient-id pic 9(6). 05 species-code-type pic 9(5). 05 species-name pic x(6). 03 service-code-key. 05 service-code-type pic 9(6). 05 service-name pic x(10). 03 billing-code. 05 billing-code-type pic 9(4). 05 plan-name pic x(8). 03 office-info. 05 date-in-office pic 9(8). 05 served-by-name pic x(10). 03 remote-info redefines office-info. 05 van-id pic 9(4). 05 proc-code pic 9(8). 05 vet-name pic x(6).If you added the WHEN directives shown below, you would add several columns to the database table. The fields that would appear in the table are underlined:
*(( xfd when animal-id-key = "00000000000000000" ))
01 archive-record. 03 filler pic x(33). 03 archive-code pic 9(6). 03 archive-location pic 9(2). 03 filler pic x(10). *(( xfd when animal-id-key = other )) 01 master-record. *(( xfd use group )) 03 animal-id-key. 05 patient-id pic 9(6). 05 species-code-type pic 9(5). 05 species-name pic x(6). 03 service-code-key. 05 service-code-type pic 9(6). 05 service-name pic x(10). 03 billing-code. 05 billing-code-type pic 9(4). 05 plan-name pic x(8). *(( xfd when billing-code-type = "1440" )) 03 office-info. 05 date-in-office pic 9(8). 05 served-by-name pic x(10). *(( xfd when billing-code-type = other )) 03 remote-info redefines office-info. 05 van-id pic 9(4). 05 proc-code pic 9(8). 05 vet-name pic x(6).Example 3
If your application has a REDEFINES whose field names are more meaningful than the fields they redefine, you might consider switching the order of your code, rather than using a WHEN directive. Use the less significant field names in the REDEFINES. For example, you might change this:
03 code-info. 05 filler pic 9(8). 05 code-1 pic x(10). 03 patient-info redefines code-info. 05 patient-id pic 9(4). 05 service-code pic 9(8). 05 server-name pic x(6).to this:
03 patient-info . 05 patient-id pic 9(4). 05 service-code pic 9(8). 05 server-name pic x(6). 03 code-info redefines patient-info. 05 filler pic 9(8). 05 code-1 pic x(10).The fields that would appear in the database table by default are underlined above. This shows how the column names might become more meaningful when the order is reversed. Your application operates the same either way.
NOTE
When a WHEN directive condition is met, COBOL record definitions or REDEFINES records that are subordinate to other WHEN directives are not used. Database columns in rows which correspond to those records are set to the special database value NULL. This means that there is no value provided for those columns. NULL is not equivalent to zero, and it has special properties in the RDBMS. For example, you can select all rows for which a given column is NULL.
Example 4
This COBOL code:
01 col-type pic x. $xfd when col-type = "a" 03 def1 pic x(2). $xfd when col-type = "b" 03 def2 redefines def1 pic 9(2).will result in this database table:
col_type def1 def2 a xx null b null 10 a yy nullThis is the end of the Using Directives section. Click the Contents button at the top of this window to return to the Table of Contents page.