tTeradataOutput MapReduce properties - 7.0

Teradata

author
Talend Documentation Team
EnrichVersion
7.0
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Talend Big Data
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task
Data Governance > Third-party systems > Database components > Teradata components
Data Quality and Preparation > Third-party systems > Database components > Teradata components
Design and Development > Third-party systems > Database components > Teradata components
EnrichPlatform
Talend Studio

These properties are used to configure tTeradataOutput running in the MapReduce Job framework.

The MapReduce tTeradataOutput component belongs to the Databases family.

The component in this framework is available in all subscription-based Talend products with Big Data and Talend Data Fabric.

Basic settings

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 Talend Studio User Guide.

Host

Database server IP address

Database

Name of the database

Username and Password

DB user authentication data.

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

Table

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

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.

When the schema to be reused has default values that are integers or functions, ensure that these default values are not enclosed within quotation marks. If they are, you must remove the quotation marks manually.

For more details, see Verifying default values in a retrieved schema.

 

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.

Die on error

Select the check box to stop the execution of the Job when an error occurs.

Clear the check box to skip any rows on error and complete the process for error-free rows. When errors are skipped, you can collect the rows on error using a Row > Reject link.

Advanced settings

Additional JDBC parameters

Specify additional connection properties for the DB connection you are creating.

This is intended to allow specific character set support. E.G.: CHARSET=KANJISJIS_OS to get support of Japanese characters.

Note:

You can press Ctrl+Space to access a list of predefined global variables.

Use Batch

Select this check box to activate the batch mode for data processing.

Batch Size

Specify the number of records to be processed in each batch..

This field appears only when the Use batch mode check box is selected.

Usage

Usage rule

In a Talend Map/Reduce Job, it is used as an end component and requires a transformation component as input link. The other components used along with it must be Map/Reduce components, too. They generate native Map/Reduce code that can be executed directly in Hadoop.

Note that in this documentation, unless otherwise explicitly stated, a scenario presents only Standard Jobs, that is to say traditional Talend data integration Jobs, and non Map/Reduce Jobs.

Hadoop Connection

You need to use the Hadoop Configuration tab in the Run view to define the connection to a given Hadoop distribution for the whole Job.

This connection is effective on a per-Job basis.

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 your studio. For details, see Installing external modules. .