# tDynamoDBOutput properties for Apache Spark Streaming These properties are used to configure tDynamoDBOutput running in the Spark Streaming Job framework. The Spark Streaming tDynamoDBOutput component belongs to the Databases family. This component is available in Talend Real Time Big Data Platform and Talend Data Fabric. ## Basic settings | Use an existing connection | Select this check box and in the Component List click the relevant connection component to
reuse the connection details you already defined. | | --- | --- | | Access
Key | Enter the access key ID that uniquely identifies an AWS
Account. For further information about how to get your Access Key and Secret Key,
see [Getting Your AWS Access
Keys](http://docs.aws.amazon.com/ses/latest/DeveloperGuide/get-aws-keys.html). | | Secret
Key | Enter the secret access key, constituting the security
credentials in combination with the access Key.

To enter the secret key, click the [...] button next to
the secret key field, and then in the pop-up dialog box enter the password between double
quotes and click OK to save the settings. | | Use End Point | Select this check box and in the Server Url field
displayed, specify the Web service URL of the DynamoDB database service. | | Region | Specify the AWS region by selecting a region name from the
list or entering a region between double quotation marks (e.g. *"us-east-1"*) in the list. For more information about the AWS
Region, see [Regions and Endpoints](http://docs.aws.amazon.com/general/latest/gr/rande.html#s3_region). | | 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 the current schema is of the Repository type, three options are available:

| | Table Name | Specify the name of the table in which you need to write data. This table must already
exist. | | Die on error | Select the check box to stop the execution of the Job when an error
occurs. | ## Advanced settings | Throughput write percent | Enter, without using quotation marks, the percentage (expressed in decimal) to be used of
the write capacity pre-defined in Amazon. For further information about this write capacity,
see [Provision throughput for write](http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ProvisionedThroughput.html#HowItWorks.ProvisionedThroughput.Writes). | | --- | --- | | Advanced properties | Add properties to define extra operations you need tDynamoDBOutput to perform when writing data.

This table is present for future evolution of the component and using it requires the
high-level knowledge of DynamoDB development. Currently, there are no interesting user
configurable properties. | ## Usage | **Usage rule** | This component is used as an end component and requires an input link.

This component should use a tDynamoDBConfiguration
component present in the same Job to connect to a DynamoDB database. You need to drop a
tDynamoDBConfiguration component alongside this
component and configure the Basic settings of this
component to use tDynamoDBConfiguration.

This component, along with the Spark Streaming component Palette it belongs to, appears
only when you are creating a Spark 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 | In the Spark
Configuration tab in the Run
view, define the connection to a given Spark cluster for the whole Job. In
addition, since the Job expects its dependent jar files for execution, you must
specify the directory in the file system to which these jar files are
transferred so that Spark can access these files:



This connection is effective on a per-Job basis. |