# tDataShuffling Standard properties

These properties are used to configure tDataShuffling running in the Standard Job framework.

The Standard tDataShuffling component belongs to the Data Quality family.

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, and in Talend Data Fabric.

## Basic settings

| Properties | Description |
| --- | --- |
| Schema and Edit<br>Schema | <ul> <li> <p>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 <kbd>line</kbd> when naming the            fields.</p> <p>Click <span>Sync        columns</span> to retrieve the schema from the previous component connected in the      Job.</p> <p>Click <span>Edit        schema</span> to make changes to the schema. If the current schema is of the <span>Repository</span> type, three options are available:</p> <ul> <li> <p> <span>View schema</span>: choose this                option to view the schema only.</p> </li> <li> <p> <span>Change to built-in property</span>:                choose this option to change the schema to <span>Built-in</span> for local changes.</p> </li> <li> <p> <span>Update repository connection</span>:                choose this option to change the schema stored in the repository and decide whether                to propagate the changes to all the Jobs upon completion.</p> <p>If you just want to                propagate the changes to the current Job, you can select <span>No</span> upon completion and choose this schema metadata                again in the <span>Repository Content</span>                window.</p> </li> </ul> </li> <li> <p> <span>Built-In</span>: You create and store the schema locally for this component                only.</p> </li> <li> <p> <span>Repository</span>: You have already created the schema and stored it in the                Repository. You can reuse it in various projects and Job designs.</p> </li> </ul> |
| Shuffling columns | Define the groups of columns to be shuffled:<br><br><ul> <li> <p> <span>Column</span>: Select the columns to be shuffled.</p> </li> <li> <p> <span>Group ID</span>: Select the group identifier to group                columns. The columns having the same group identifier are shuffled together.</p> <p>This field is set to <em>0</em> by default. This means that the column                is not part of the shuffling process.</p> </li> </ul> |

## Advanced settings

| Properties | Description |
| --- | --- |
| Seed for random generator | Set a random number if you want to shuffle the data in the same<br>order in each execution of the Job. The seed is not set by default.<br><br>If you do not set the seed, the component creates a new random<br>seed for each Job execution. Repeating the execution with a different value for this field<br>will shuffle the data in a different order. |
| Buffer size | Type in the size of physical memory, in number of rows, you want to<br>allocate to processed data. |
| Partitioning columns | Add the columns used for partitioning the data.<br><br>The selected columns separate the shuffling process into small partitions. Only the rows<br>within a partition can be shuffled together. |
| tStat<br>Catcher<br>Statistics | Select this checkbox to gather the Job processing metadata at the Job level<br>as well as at each component level. |

## Usage

| Usage guidance | Description |
| --- | --- |
| **Usage rule** | This component is usually used as an intermediate component, and it requires an<br>input component and an output component. |