tTransliterate Standard properties
These properties are used to configure tTransliterate running in the Standard Job framework.
The Standard tTransliterate component belongs to the Data Quality family.
The component in this framework is available in Talend Data Management Platform, Talend Big Data Platform, Talend Real-Time Big Data Platform, Talend Data Services Platform, and in Talend Data Fabric.
Basic settings
Schema |
A schema is a row description. It defines the number of fields (columns) to be processed and passed on to the next component. When you create a Spark Job, avoid the reserved word line when naming the fields. |
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Built-In: You create and store the schema locally for this component only. |
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Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs. |
Edit Schema |
Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:
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Transliteration |
This table lists the columns defined in the schema of the tTransliterate component. Select the Transliterate check box next to the column(s) of which you want to convert the content to readable standard set of characters. |
Advanced settings
tStatCatcher Statistics |
Select this check box to collect log data at the component level. |
Global Variables
Global Variables |
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+Space to access the variable list and choose the variable to use from it. For more information about variables, see Using contexts and variables. |
Usage
Usage rule |
This component is an intermediary step. It requires an input and output flows. |