tRedshiftInput 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 fields that follow are completed automatically using the data retrieved.

Click this icon to open a database connection wizard and store the database connection parameters you set in the component Basic settings view.

For more information about setting up and storing database connection parameters, see Centralizing database metadata.

Driver version

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

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.

Host

Hostname or IP address of the database server.

Port

Listening port number of the database server.

Database

Name of the database.

Schema

Exact name of the schema.

Username and Password

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.

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.

This component offers the advantage of the dynamic schema feature. This allows you to retrieve unknown columns from source files or to copy batches of columns from a source without mapping each column individually. For further information about dynamic schemas, see Dynamic schema.

This dynamic schema feature is designed for the purpose of retrieving unknown columns of a table and is recommended to be used for this purpose only; it is not recommended for the use of creating tables.

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.

Table Name

Name of the table from which the data will be read.

Query Type and Query

Enter your database query paying particularly attention to sequence the fields properly in order to match the schema definition.

If using the dynamic schema feature, the SELECT query must include the * wildcard, to retrieve all of the columns from the table selected.

Guess Query

Click the Guess Query button to generate the query which corresponds to your table schema in the Query field.

Guess schema

Click the Guess schema button to retrieve the table schema.

Log file

Specify the path to the log file to be generated during the data retrieval process.

Note that if the logging information needs to be saved and this component reuses the connection created by a tRedshiftConnection component, you must specify the property loglevel=1/2/3 in the Additional JDBC Parameters field of the tRedshiftConnection component.

There is no limitation on the size of the log file. If the specified log file already exists, it will be overwritten.

Logging level

Select a logging level from the drop-down list to specify which kind of events will be logged in the log file.

Use cursor

Select this check box to help to decide the row set to work with at a time and thus optimize performance.

Trim all the String/Char columns

Select this check box to remove leading and trailing whitespace from all the String/Char columns.

Trim column

Remove leading and trailing whitespace from defined columns.

tStatCatcher Statistics

Select this check box to collect log data at the component level.

Global Variables

NB_LINE: the number of rows processed. This is an After variable and it returns an integer.

QUERY: the query statement being processed. This is a Flow variable and it returns a string.

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 covers all possible SQL queries for Amazon Redshift databases.

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.

Limitation

Due to license incompatibility, one or more JARs required to use this component are not provided. You can install the missing JARs for this particular component by clicking the Install button on the Component tab view. You can also find out and add all missing JARs easily on the Modules tab in the Integration perspective of Talend Studio. For details, see Installing external modules.