The last step shows the LDAP schema generated and allows you to further customize the
end schema.
Procedure
If needed, rename the metadata in the Name field
(metadata, by default), add a
Comment, and make further modifications, for example:
Redefine the columns by editing the relevant fields.
Add or delete a column using the and
buttons.
Change the order of the columns using the and buttons.
Information noteWarning: Avoid using any Java
reserved keyword as a schema column name.
Make sure the data type in the Type column is correctly defined.
For more information regarding Java data types,
including date pattern, see Java API Specification.
Below are the commonly used Talend data types:
Object: a generic Talend data type that allows
processing data without regard to its content, for example, a data
file not otherwise supported can be processed with a tFileInputRaw
component by specifying that it has a data type of Object.
List: a space-separated list of
primitive type elements in an XML Schema definition, defined using
the xsd:list element.
Dynamic: a data type that can be set
for a single column at the end of a schema to allow processing
fields as VARCHAR(100) columns named either as ‘Column<X>’ or,
if the input includes a header, from the column names appearing in
the header. For more information, see Dynamic schema.
Document: a data type that allows
processing an entire XML document without regarding to its content.
If the LDAP directory which the schema is based on has changed, use the
Guess button to generate again the schema. Note that if you
customized the schema, your changes will not be retained after the
Guess operation.
Click Finish. The new schema is displayed under the relevant
LDAP connection node in the Repository tree view.
Did this page help you?
If you find any issues with this page or its content – a typo, a missing step, or a technical error – please let us know!