Normalizes the incoming data in a separate XML or JSON data flow to separate or standardize the rule-compliant data from the non-compliant data.
tStandardizeRow tokenizes the data flow it has received from the preceding component and applies user-defined parser rules to analyze the data. Based on this analysis, this component normalizes and writes analyzed data in a separate data flow and tags them using the user-defined rule names. It does not make any changes on your raw data.
The standardization option adds a supplementary column to the output flow where the normalized data are then standardized.
The Java library ANTLR is used to parse and tokenize the incoming data. For further information about ANTLR, see the site
In local mode, Apache Spark 1.6, 2.0, 2.3, 2.4 and 3.0 are supported.
- With the installer: /addons/scripts/Lucene_Migration_Tool/README.md
- With no installer: in the license email, click the link in Migration tool for Lucene Indexes from version 4 to version 8
For more technologies supported by Talend, see Talend components.
Depending on the Talend product you are using, this component can be used in one, some or all of the following Job frameworks:
Standard : see tStandardizeRow Standard properties.
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.
MapReduce: see tStandardizeRow MapReduce properties (deprecated).
Spark Batch: see tStandardizeRow properties for Apache Spark Batch.
Spark Streaming: see tStandardizeRow properties for Apache Spark Streaming.