
Component Family |
File/Input |
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Function |
tFileInputLDIF reads a given LDIF |
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Purpose |
tFileInputLDIF opens a file, |
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Basic settings |
Property type |
Either Built-in or Repository. Since version 5.6, both the Built-In mode and the Repository mode are |
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Built-in: No property data stored |
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Repository: Select the repository |
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File Name |
Name of the file and/or variable to be processed. For further information about how to define and use a variable in |
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add operation as prefix when the entry is modify |
Select this check box to display the operation mode. |
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Value separator |
Type in the separator required for parsing data in the given file. |
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Die on error |
Select this check box to stop the execution of the Job when an |
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Schema and Edit |
A schema is a row description, it defines the number of fields to be processed and Since version 5.6, both the Built-In mode and the Repository mode are Click Edit schema to make changes to the schema. If the
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Advanced settings |
Encoding |
Select the encoding type from the list or select Custom and define it manually. This field |
Use field options (for Base64 decode |
Select this check box to specify the Base64-encoded columns of the NoteThe data type of the columns to be handled by this check box |
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tStatCatcher Statistics |
Select this check box to gather the Job processing metadata at a |
Global Variables |
NB_LINE: the number of rows processed. This is an After ERROR_MESSAGE: the error message generated by the A Flow variable functions during the execution of a component while an After variable To fill up a field or expression with a variable, press Ctrl + For further information about variables, see Talend Studio |
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Usage |
Use this component to read full rows in a voluminous LDIF file. |
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Log4j |
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 http://logging.apache.org/log4j/1.2/apidocs/org/apache/log4j/Level.html. |
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Limitation |
Due to license incompatibility, one or more JARs required to use this component are not |
For a related scenario, see Scenario: Writing DB data into an LDIF-type file.