tJapaneseNumberNormalize properties for Apache Spark Streaming
These properties are used to configure
tJapaneseNumberNormalize running in the Spark
Streaming Job framework.
The Spark Streaming
tJapaneseNumberNormalize 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, Talend MDM Platform and in Talend Data Fabric.
Basic settings
Schema and Edit Schema |
A schema is a row description. It defines the number of fields Click Sync Click Edit
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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 |
Normalization |
The columns from the output schema are added to the For each of the schema columns containing Japanese numbers to be You can select the check box in the header row to select all schema |
Advanced settings
tStatCatcher Statistics |
Select this check box to gather the Job processing metadata at the Job level |
Usage
Usage rule |
This component is usually used as an intermediate component, and it requires an |
Spark Connection |
In the Spark
Configuration tab in the Run view, define the connection to a given Spark cluster for the whole Job. In addition, since the Job expects its dependent jar files for execution, you must specify the directory in the file system to which these jar files are transferred so that Spark can access these files:
This connection is effective on a per-Job basis. |