tFileInputDelimited MapReduce properties (deprecated)
These properties are used to configure tFileInputDelimited running in the MapReduce Job framework.
The MapReduce
tFileInputDelimited component belongs to the MapReduce family.
The component in this framework is available in all subscription-based 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.
Basic settings
Property type |
Either Built-In or Repository. |
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Built-In: No property data stored centrally. |
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Repository: Select the repository file where the The properties are stored centrally under the Hadoop For further information about the Hadoop |
Schema and Edit |
A schema is a row description. It defines the number of fields Click Edit
schema to make changes to the schema. Note: If you
make changes, the schema automatically becomes built-in. |
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Built-In: You create and store the schema locally for this component |
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Repository: You have already created the schema and stored it in the |
Folder/File |
Browse to, or enter the path pointing to the data to be used in the file system. If the path you set points to a folder, this component will read all of the files stored in that folder, for example,/user/talend/in; if sub-folders exist, the sub-folders are automatically ignored unless you define the property mapreduce.input.fileinputformat.input.dir.recursive to be If you want to specify more than one files or directories in this If the file to be read is a compressed one, enter the file name with
Note that you need |
Die on error |
Clear the check box to skip any rows on error and complete the process for |
Row separator |
The separator used to identify the end of a row. |
Field separator |
Enter character, string or regular expression to separate fields for the transferred |
Header |
Enter the number of rows to be skipped in the beginning of file. |
CSV options |
Select this check box to include CSV specific parameters such as Escape char and Text |
Skip empty rows |
Select this check box to skip the empty rows. |
Advanced settings
Custom Encoding |
You may encounter encoding issues when you process the stored data. In that Then select the encoding to be used from the list or select Custom and define it manually. |
Advanced separator (for number) |
Select this check box to change the separator used for numbers. By default, the thousands separator is a comma (,) and the decimal separator is a period (.). |
Trim all columns |
Select this check box to remove the leading and trailing whitespaces from all |
Check column to trim |
This table is filled automatically with the schema being used. Select the check |
Check each row structure against |
Select this check box to check whether the total number of columns |
Check date |
Select this check box to check the date format strictly against the input schema. |
Decode String for long, int, short, byte |
Select this check box if any of your numeric types (long, integer, short, or byte type), will |
Global Variables
Global Variables |
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 |
Usage
Usage rule |
In a Once a Map/Reduce Job is opened in the workspace, tFileInputDelimited as well as the MapReduce Note that in this documentation, unless otherwise |
Hadoop Connection |
You need to use the Hadoop Configuration tab in the This connection is effective on a per-Job basis. |