tFileOutputXML MapReduce properties (deprecated)
These properties are used to configure tFileOutputXML running in the MapReduce Job framework.
The MapReduce tFileOutputXML component belongs to the MapReduce family.
The component in this framework is available in all Talend products with Big Data and Talend Data Fabric.
The MapReduce framework is deprecated from Talend 7.3 onwards. Use Talend Jobs for Apache Spark to accomplish your integration tasks.In a Talend Map/Reduce Job, tFileOutputXML, as well as the whole Map/Reduce Job using it, generates native Map/Reduce code. This section presents the specific properties of tFileOutputXML when it is used in that situation. For further information about a Talend Map/Reduce Job, see the Talend Big Data Getting Started Guide .
Basic settings
Property type |
Either Built-In or Repository. |
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Built-In: No property data stored centrally. |
Click this icon to open a database connection wizard and store the database connection parameters you set in the component Basic settings view. For more information about setting up and storing database connection parameters, see Talend Studio User Guide. |
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Repository: Select the repository file where the properties are stored. The properties are stored centrally under the Hadoop Cluster node of the Repository tree. The fields that come after are pre-filled in using the fetched data. For further information about the Hadoop Cluster node, see the Getting Started Guide. |
Row tag |
Specify the tag that will wrap data and structure per row. |
Schema and Edit 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. 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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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. |
Folder |
Browse to, or enter the path pointing to the data to be used in the file system. This path must point to a folder rather than a file, because a Talend Map/Reduce Job need to write in its target folder not only the final result but also multiple part- files generated in performing Map/Reduce computations. Note that you need to ensure you have properly configured the connection to the Hadoop distribution to be used in the Hadoop configuration tab in the Run view. |
Action |
Select an operation for writing data: Create: Creates a file and write data in it. Overwrite: Overwrites the file existing in the directory specified in the Folder field. |
Advanced settings
Root tags |
Specify one or more root tags to wrap the whole output file structure and data. The default root tag is root. |
Output format |
Define the output format.
Information noteNote:
If the same column is selected in both the Output format table as an attribute and in the Use dynamic grouping setting as the criterion for dynamic grouping, only the dynamic group setting will take effect for that column. Use schema column name: By default, this check box is selected for all columns so that the column labels from the input schema are used as data wrapping tags. If you want to use a different tag than from the input schema for any column, clear this check box for that column and specify a tag label between quotation marks in the Label field. |
Use dynamic grouping |
Select this check box if you want to dynamically group the output columns. Click the plus button to add one ore more grouping criteria in the Group by table. Column: Select a column you want to use as a wrapping element for the grouped output rows. Attribute label: Enter an attribute label for the group wrapping element, between quotation marks. |
Encoding |
Select the encoding from the list or select Custom and define it manually. This field is compulsory for database data handling. The supported encodings depend on the JVM that you are using. For more information, see https://docs.oracle.com. |
Use local timezone for date | Select this check box to use the local date of the machine in which your Job is executed. If leaving this check box clear, UTC is automatically used to format the Date-type data. |
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 further information about variables, see Talend Studio User Guide. |
Usage
Usage rule |
In a Talend Map/Reduce Job, it is used as an end component and requires a transformation component as input link. The other components used along with it must be Map/Reduce components, too. They generate native Map/Reduce code that can be executed directly in Hadoop. Once a Map/Reduce Job is opened in the workspace, tFileOutputXML as well as the MapReduce family appears in the Palette of the Studio. Note that in this documentation, unless otherwise explicitly stated, a scenario presents only Standard Jobs, that is to say traditional Talend data integration Jobs, and non Map/Reduce Jobs. |
Hadoop Connection |
You need to use the Hadoop Configuration tab in the Run view to define the connection to a given Hadoop distribution for the whole Job. This connection is effective on a per-Job basis. |