tRedshiftOutputBulkExec Standard properties

Select the desired database type from the list and click Apply.

Property Type

Either Built-In or Repository.

• Built-In: No property data stored centrally.
• Repository: Select the repository file in which the properties are stored. The database connection fields that follow are completed automatically using the data retrieved.

Use an existing connection

Select this check box and in the Component List drop-down list, select the desired connection component to reuse the connection details you already defined.

Driver version

Select the Redshift driver version to be used: Driver v1 or Driver v2.

Host

Type in the IP address or hostname of the database server.

Port

Type in the listening port number of the database server.

Database

Type in the name of the database.

Schema

Type in the name of the schema.

Username and Password

Type in the database user authentication data.

To enter the password, click the [...] button next to the password field, enter the password in double quotes in the pop-up dialog box, and click OK to save the settings.

Use String JDBC parameters

Set JDBC properties in a string. If you select this option, enter your JDBC parameter string in the Additional JDBC Parameters field; otherwise, enter JDBC properties and property values in the Additional JDBC Parameters table.

This option is not available if Driver v1 is selected from the Driver version drop-down list.

Additional JDBC Parameters

Specify additional JDBC properties for the connection you are creating. The properties are separated by ampersand & and each property is a key-value pair. For example, ssl=true & sslfactory=com.amazon.redshift.ssl.NonValidatingFactory, which means the connection will be created using SSL.

This field is not available if Driver v2 is selected from the Driver version drop-down list and the Use String JDBC parameters option is not selected.

Additional JDBC Parameters (table)

Specify JDBC properties in table rows.

To specify a JDBC property, add a row in the table by clicking the plus button on the bottom of this table, enter the property name in the Key column, and then enter the property value in the Value column.

This table is available when Driver v2 is selected from the Driver version drop-down list and the Use String JDBC parameters option is not selected.

Table Name

Specify the name of the table to be written. Note that only one table can be written at a time.

Action on table

On the table defined, you can perform one of the following operations:

• None: No operation is carried out.

• Drop and create table: The table is removed and created again.

• Create table: The table does not exist and gets created.

• Create table if not exists: The table is created if it does not exist.

• Drop table if exists and create: The table is removed if it already exists and created again.

• Clear table: The table content is deleted. You have the possibility to rollback the operation.

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.

Built-In: You create and store the schema locally for this component only.

Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs.

Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:

• View schema: choose this option to view the schema only.

• Change to built-in property: choose this option to change the schema to Built-in for local changes.

• Update repository connection: choose this option to change the schema stored in the repository and decide whether to propagate the changes to all the Jobs upon completion.

  If you just want to propagate the changes to the current Job, you can select No upon completion and choose this schema metadata again in the Repository Content window.

Data file path at local

Specify the local path to the file to be generated.

Note that the file is generated on the same machine where Talend Studio is installed or where the Job using this component is deployed.

Append the local file

Select this check box to append data to the specified local file if it already exists, instead of overwriting it.

Create directory if not exists

Select this check box to create the directory specified in the Data file path at local field if it does not exist. By default, this check box is selected.

Select this check box and in the Component List drop-down list, select the desired connection component to reuse the connection details you already defined.

Credential provider

Specify the way to obtain AWS security credentials: Static Credentials, which uses access key and secret key as the AWS security credentials.

Access Key

Specify the Access Key ID that uniquely identifies an AWS Account. For how to get your Access Key and Access Secret, visit Getting Your AWS Access Keys.

Secret Key

Specify 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.

S3 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 check box 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 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.

Bucket

Type in the name of the Amazon S3 bucket, namely the top level folder, to which the file is uploaded.

The bucket and the Redshift database to be used must be in the same region on Amazon. This could avoid the S3ServiceException errors known to Amazon. For further information about these errors, see S3ServiceException Errors.

Key

Type in an object key to assign to the file uploaded to Amazon S3.

Redshift Assume Role

Select this check box and specify the values for the following parameters used to create a new assumed role session.

• IAM Role ARNs chains: a series of chained roles, which may belong to other accounts, that your cluster can assume to access resources.

  You can chain a maximum of 10 roles.

• Role ARN: the Amazon Resource Name (ARN) of the role to assume.

For more information on IAM Role ARNs chains, see Authorizing Redshift service.

Fields terminated by

Enter the character used to separate fields.

Enclosed by

Select the character in a pair of which the fields are enclosed.

Compressed by

Select this check box and select a compression type from the list displayed to compress the data file.

This field disappears when the Append the local file check box is selected.

Encrypt

Select this check box to generate and upload the data file to Amazon S3 using client-side encryption. In the Encryption key field displayed, specify the encryption key used to encrypt the file. Note that only a base64 encoded AES 128-bit or AES 256-bit envelope key is supported. For more information, see Loading Encrypted Data Files from Amazon S3.

By default, this check box is cleared and the data file will be uploaded to Amazon S3 using server-side encryption.

For more information about the client-side and server-side encryption, see Protecting Data Using Encryption.

Encoding

Select an encoding type for the data in the file to be generated.

Delete local file after putting it to s3

Select this check box to delete the local file after being uploaded to Amazon S3. By default, this check box is selected.

Date format

Select one of the following items from the list to specify the date format in the source data:

• NONE: No date format is specified.

• PATTERN: Select this item and specify the date format in the field displayed. The default date format is YYYY-MM-DD.

• AUTO: Select this item if you want Amazon Redshift to recognize and convert automatically the date format.

Time format

Select one of the following items from the list to specify the time format in the source data:

• NONE: No time format is specified.

• PATTERN: Select this item and specify the time format in the field displayed. The default time format is YYYY-MM-DD HH:MI:SS.

• AUTO: Select this item if you want Amazon Redshift to recognize and convert automatically the time format.

• EPOCHSECS: Select this item if the source data is represented as epoch time, the number of seconds since Jan 1, 1970 00:00:00 UTC.

• EPOCHMILLISECS: Select this item if the source data is represented as epoch time, the number of milliseconds since Jan 1, 1970 00:00:00 UTC.

Settings

Click the [+] button below the table to specify more parameters for loading the data.

• Parameter: Click the cell and select a parameter from the drop-down list.

• Value: Set the value for the corresponding parameter. Note that you cannot set the value for a parameter (such as IGNOREBLANKLINES) that does not need a value.

For more information about the parameters, see http://docs.aws.amazon.com/redshift/latest/dg/r_COPY.html.

Config client

Select this check box to configure client parameters for Amazon S3. Click the [+] button below the table displayed to add as many rows as needed, each row for a client parameter, and set the following attributes for each parameter:

• Client Parameter: Click the cell and select a parameter from the drop-down list.

• Value: Enter the value for the corresponding client parameter.

For information about S3 client parameters, go to Client Configuration.

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 check box is available only when the S3 Assume Role check box is selected.

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 drop-down list is available only when the S3 Assume Role check box is selected.

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 S3 Assume Role check box is selected.

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 S3 Assume Role check box is selected.

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 S3 Assume Role check box is selected.

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 check box 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 S3 Assume Role check box is selected.

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 S3 Assume Role check box is selected.

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 S3 Assume Role check box is selected.

tStatCatcher Statistics

Select this check box to gather the Job processing metadata at the Job level as well as at each component level.

Global Variables

ERROR_MESSAGE: the error message generated by the component when an error occurs. This is an After variable and it returns a string. This variable functions only if the Die on error check box is cleared, if the component has this check box.

A Flow variable functions during the execution of a component while an After variable functions after the execution of the component.

To fill up a field or expression with a variable, press Ctrl+Space to access the variable list and choose the variable to use from it.

For more information about variables, see Using contexts and variables.

Usage rule

This component is mainly used when no particular transformation is required on the data to be loaded to Amazon Redshift.

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.

The Dynamic settings table is available only when the Use an existing connection check box is selected in the Basic settings view. Once a dynamic parameter is defined, the Component List box in the Basic settings view becomes unusable.

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.