# tReplicate properties for Apache Spark Structured Streaming

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These properties are used to configure tReplicate running in the Spark Structured Streaming Job framework.

The Spark Structured Streaming tReplicate component belongs to the Processing 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 |
| --- | --- |
| Schema and Edit schema | A schema is a row description. It defines the fields (columns) processed by the<br>component. When you create a Spark Job, avoid the reserved word<br>line when naming fields.<br><br><ul> <li><p><span>Built-In</span>: create and store the schema locally for                        this component only.</p></li> <li><p><span>Repository</span>: reuse a schema created and stored in                        the Repository across projects and Job designs.</p></li> </ul><br><br>Click Edit schema to modify the schema. If you modify a<br>Repository schema, the available options include:<br><br><ul> <li><p><span>View schema</span>: view the schema without modifying it.</p></li> <li><p><span>Change to built-in property</span>: change the schema to                        <span>Built-in</span> for local changes.</p></li> <li><p><span>Update repository connection</span>: modify the Repository                        schema and choose whether to propagate the changes to other Jobs.</p></li> </ul> |

## Usage

| Usage guidance | Description |
| --- | --- |
| **Usage rule** | This component is used as an intermediate step.<br><br>This component, along with the Spark Structured Streaming component Palette it belongs to,<br>appears only when you are creating a Spark Structured Streaming Job. |
| Spark Connection | You need to use the Structured Streaming Configuration<br>tab in the Run view to define the connection to a Spark cluster for<br>the whole Job.<br><br>This connection is effective on a per-Job basis. |