August 17, 2023

tFileInputLDIF – Docs for ESB 5.x



tFileInputLDIF Properties

Component Family




tFileInputLDIF reads a given LDIF
file row by row.


tFileInputLDIF opens a file,
reads it row by row, et gives the full rows to the next component as
defined in the schema, using a Row connection.

Basic settings

Property type

Either Built-in or Repository.

Since version 5.6, both the Built-In mode and the Repository mode are
available in any of the Talend solutions.



Built-in: No property data stored



Repository: Select the repository
file where the properties are stored. The fields that follow are
completed automatically using the data retrieved.


File Name

Name of the file and/or variable to be processed.

For further information about how to define and use a variable in
a Job, see Talend Studio
User Guide.


add operation as prefix when the entry is modify

Select this check box to display the operation mode.


Value separator

Type in the separator required for parsing data in the given file.
By default, the separator used is ” ,“.


Die on error

Select this check box to stop the execution of the Job when an
error occurs. Clear the check box to skip the row on error and
complete the process for error-free rows. If needed, you can collect
the rows on error using a Row >
Reject link.


Schema and Edit

A schema is a row description, it defines the number of fields to be processed and
passed on to the next component. The schema is either Built-in or stored remotely in the

Since version 5.6, both the Built-In mode and the Repository mode are
available in any of the Talend solutions.

Click Edit schema to make changes to the schema. If the
current schema is of the Repository type, three options are

  • View schema: choose this option to view the
    schema only.

  • Change to built-in property: choose this option
    to change the schema to Built-in for local

  • Update repository connection: choose this option to change
    the schema stored in the repository and decide whether to propagate the changes to
    all the Jobs upon completion. If you just want to propagate the changes to the
    current Job, you can select No upon completion and
    choose this schema metadata again in the [Repository

Advanced settings


Select the encoding type from the list or select Custom and define it manually. This field
is compulsory for DB data handling.


Use field options (for Base64 decode

Select this check box to specify the Base64-encoded columns of the
input flow. Once selected, this check box activates the Decode Base64 encoding values table to
enable you to precise the columns to be decoded from Base64.


The data type of the columns to be handled by this check box
is byte[] that you define in
the input schema editor.


tStatCatcher Statistics

Select this check box to gather the Job processing metadata at a
Job level as well as at each component level.

Global Variables

NB_LINE: the number of rows processed. This is an After
variable and it returns an integer.

ERROR_MESSAGE: the error message generated by the
component when an error occurs. This is an After variable and it returns a string. This
variable functions only if the Die on error check box is
cleared, if the component has this check box.

A Flow variable functions during the execution of a component while an After variable
functions after the execution of the component.

To fill up a field or expression with a variable, press Ctrl +
to access the variable list and choose the variable to use from it.

For further information about variables, see Talend Studio
User Guide.


Use this component to read full rows in a voluminous LDIF file.
This component enables you to create a data flow, using a Row > Main link, and to create a reject flow with a
Row > Reject link filtering the data which type does not
match the defined type. For an example of usage, see Scenario 2: Extracting erroneous XML data via a reject flow from tFileInputXML.


The activity of this component can be logged using the log4j feature. For more information on this feature, see Talend Studio User

For more information on the log4j logging levels, see the Apache documentation at


Due to license incompatibility, one or more JARs required to use this component are not
provided. You can install the missing JARs for this particular component by clicking the
Install button on the Component tab view. You can also find out and add all missing JARs easily on
the Modules tab in the Integration perspective
of your studio. For details, see
or the section describing how to configure the Studio in the Talend Installation and Upgrade

Related scenario

For a related scenario, see Scenario: Writing DB data into an LDIF-type file.

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