tMap properties for Apache Spark Structured Streaming
Last updated: 9/30/2026Use these properties to configure tMap running in the Spark Structured Streaming Job framework.
The Spark Structured Streaming tMap component belongs to the Processing family.
This component is available in Talend Real-Time Big Data Platform and Talend Data Fabric.
Basic settings
| Properties | Description |
|---|---|
| Map editor | Use the map editor to define the tMap
routing and transformation properties. When you click the Property Settings button at the top of the input area, a Property Settings dialog box is displayed in which you can set the following parameters:
|
| Mapping links display as | Select how mapping links are displayed:
|
| Use replicated join (when all lookup tables can fit in memory) | Select this check box to perform a replicated join between the input flows.
By replicating each lookup table into memory, this type of join does not require an
additional shuffle-and-sort step, thus speeding up the whole process. Ensure that all lookup tables fit in memory. |
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. Note that in this documentation, unless otherwise explicitly stated, a scenario presents only Standard Jobs, that is to say traditional Talend data integration Jobs. |
| 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. |