tBedrockClient
tBedrockClient Standard properties
These properties are used to configure tBedrockClient running in the Standard Job framework.
The Standard tBedrockClient component belongs to the AI family.
Basic settings
| Properties | Description |
|---|---|
| Property type |
Either Built-In or Repository. Built-In: No property data stored centrally. Repository: Select the repository file where the properties are stored. |
| Schema and Edit Schema | A schema is a row description, it defines the number of fields to be
processed and passed on to the next component. The schema is either
Built-in or stored remotely in the
Repository.
Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:
|
|
Credential provider |
Specify the way to obtain AWS security credentials.
This option can work as a dynamic parameter and be assigned a value using a context variable. Information noteNote: tRedshiftBulkExec, tRedshiftOutputBulk, and tRedshiftOutputBulkExec support
S3 connections that are established with Credential
Provider being Static Credentials or
Inherit credentials from AWS role only.
|
| Assume role |
If you temporarily need some access permissions associated to an AWS IAM role that is not granted to your user account, select this checkbox to assume that role. Then specify the values for the following parameters to create a new assumed role session. Ensure that access to this role has been granted to your user account by the trust policy associated to this role. If you are not certain about this, ask the owner of this role or your AWS administrator.
|
| Region |
Specify the AWS region by selecting or entering a region name between double quotation marks (e.g. "us-east-1"). Note that some model IDs are not available in certain regions. For more information about model and region compatibility, see Supported foundation models in Amazon Bedrock. |
| Model ID | To select one of the available Amazon Bedrock models, click the
[...] button next to the field. In the dialog box
displayed, select the model that will be used or select the Use custom
value check box and specify the model name in the Custom
value field. For more information about Amazon Bedrock models, see Supported foundation models in Amazon Bedrock. |
| Request template | Enter the request parameter and value in JSON format. Example: { "inputText": "which city is the capital of China?" } |
| Extract a sub-part of the response | Enter the path of a node to select a sub-element of the response. If the
element is an array, each element of the array will be looped over. For more
information about the syntax for entering the node name, see Data Shaping Selector Language syntax.
This field is optional and must remain empty to retrieve the entire response. |
Advanced settings
| Properties | Description |
|---|---|
| tStatCatcher Statistics | Select this checkbox to collect log data at the component level. |
| Use a custom region endpoint | Select this checkbox to use a custom endpoint and in the field displayed,
specify the URL of the custom endpoint to be used. This option can work as a dynamic parameter and be assigned a value using a context variable. |
| Signing region |
Select the AWS region of the STS service. If the region is not in the list, you can enter its name between double quotation marks. The default value is us-east-1. This dropdown list is available only when the Assume role checkbox is selected. |
| Enable path style access | Select this option to enable path-style access. Click Path-Style Requests for related information. Note that
buckets created after September 30, 2020 will support only virtual hosted-style
requests. Path-style requests will continue to be supported for buckets created on
or before this date. This option is available when Use a custom region endpoint is selected. This option can work as a dynamic parameter and be assigned a value using a context variable. Information noteWarning: Path-style access cannot work with the accelerate mode. So, make
sure Enable Accelerate Mode is cleared when selecting
this option.
|
|
Specify STS endpoint |
Select this check box to specify the AWS Security Token Service (STS) endpoint from which to retrieve the session credentials. For example, enter sts.amazonaws.com. This service allows you to request temporary, limited-privilege credentials for the AWS user authentication. Therefore, you still need to provide the access key and secret key to authenticate the AWS account to be used. For a list of the STS endpoints you can use, see AWS Security Token Service. For further information about the STS temporary credentials, see Temporary Security Credentials. Both articles are from the AWS documentation. This checkbox is available only when the Assume role checkbox is selected. |
| External ID |
If the administrator of the account to which the role belongs provided you with an external ID, enter its value here. The External Id is a unique identifier that allows a limited set of users to assume the role. This field is available only when the Assume role checkbox is selected. |
| Serial number |
When you assume a role, the trust policy of this role might require Multi-Factor Authentication (MFA). In this case, you must indicate the identification number of the hardware or virtual MFA device that is associated with the user who assumes the role. This field is available only when the Assume role checkbox is selected. |
| Token code |
When you assume a role, the trust policy of this role might require Multi-Factor Authentication (MFA). In this case, you must indicate a token code. This token code is a time-based one-time password produced by the MFA device. This field is available only when the Assume role checkbox is selected. |
| Tags |
List session tags in the form of key-value pairs. You can then use these session tags in policies to allow or deny access to requests. Transitive: select this checkbox to indicate that a tag will persist to the next role in a role chain. For more information about tags, see Passing Session Tags in AWS STS This field is available only when the Assume role checkbox is selected. |
| IAM policy ARNs |
Enter the Amazon Resource Names (ARNs) of the IAM managed policies that you want to use as managed session policies. Use managed session policies to limit the permissions of the session. The policies must exist in the same account as the role. The resulting session's permissions are the intersection of the role's identity-based policy and the session policies. For more information about session policies, see the corresponding section in Policies and Permissions This field is available only when the Assume role checkbox is selected. |
| Policy |
Enter an IAM policy in JSON format that you want to use as a session policy. Use session policies to limit the permissions of the session. The resulting session's permissions are the intersection of the role's identity-based policy and the session policies. For more information about session policies, see the corresponding section in Policies and Permissions This field is available only when the Assume role check box is selected. |
| Config client | Select this checkbox and specify the client parameter(s) by clicking the
[+] button to add as many rows as
needed, each row for a client parameter, and then setting the value of the
following fields for each parameter:
For related information, read the AWS documentation. |
| Check S3 Accessibility | Leave this checkbox selected so that the component verifies the credentials
to be used for this connection request to S3 before proceeding with further
actions. It is recommended to use the default By Account
Owner option for this verification. The By Bucket
Configuration option employs an old verification approach which can
significantly increase your network load in some circumstances. Information noteTroubleshooting:
|
Global Variables
| Variables | Description |
|---|---|
|
ERROR_MESSAGE |
The error message generated by the component when an error occurs. This is an After variable and it returns a string. |
Usage
| Usage guidance | Description |
|---|---|
| Dynamic settings |
Click the [+] button to add a row in the table and fill the Code field with a context variable to choose your database connection dynamically from multiple connections planned in your Job. This feature is useful when you need to access database tables having the same data structure but in different databases, especially when you are working in an environment where you cannot change your Job settings, for example, when your Job has to be deployed and executed independent of Talend Studio. For examples on using dynamic parameters, see Reading data from databases through context-based dynamic connections and Reading data from different MySQL databases using dynamically loaded connection parameters. For more information on Dynamic settings and context variables, see Dynamic schema and Creating a context group and define context variables in it. |