tIcebergOutput properties for Apache Spark Structured Streaming
Last updated: 9/30/2026These properties are used to configure tIcebergOutput running in the Spark Structured Streaming Job framework.
The Spark Structured Streaming tIcebergOutput component belongs to the Databases family.
The streaming version of this component is available in Talend Real-Time Big Data Platform and in Talend Data Fabric.
Basic settings
| Properties | Description |
|---|---|
| Table | Enter the name of the Iceberg table in which to write the streaming data. |
| Output mode | Select the output mode from the drop-down list:
|
| Checkpoint location | Enter the path to the directory where Spark stores checkpoint data for the
streaming query. Checkpointing enables fault tolerance and allows a failed query
to resume from where it stopped. To use a cloud storage path, add the corresponding configuration component to the Job. For example, use tS3Configuration for Amazon S3, tGSConfiguration for Google Cloud Storage, or tAzureFSConfiguration for Azure Data Lake Storage. |
| Set trigger | Select this check box to configure how often the streaming query
processes data. When selected, choose one of the following trigger types:
|
| Set query name | Select this check box to assign a name to the streaming query. In the Query name field, enter the name. |
Usage
| Usage guidance | Description |
|---|---|
| Usage rule |
This component is used as an end component and requires an input link. This component is generally used with other Iceberg components. 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. |