tFilterColumns properties for Apache Spark Structured Streaming
Last updated: 9/30/2026Use these properties to configure tFilterColumns running in the Spark Structured Streaming Job framework.
The Spark Structured Streaming tFilterColumns component belongs to the Processing family. tFilterColumns excludes specific columns from a streaming dataset by keeping only the columns defined in the output schema. Any columns present in the input but missing in the output schema are automatically removed.
The streaming version of this component is available in Talend Real-Time Big Data Platform and in Talend Data Fabric.
Basic settings
| Properties | Description |
|---|---|
| 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 you make changes, the schema automatically becomes built-in.
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Usage
| Usage guidance | Description |
|---|---|
| Usage rule |
This component is used as an intermediate step. This component, along with the Spark Structured Streaming component Palette it belongs to, appears only when you are creating a Spark Structured Streaming Job. |
| Spark Connection |
You need to use the Structured Streaming Configuration tab in the Run view to define the connection to a Spark cluster for the whole Job. This connection is effective on a per-Job basis. |