tSingleStoreBulkExec Standard properties - Cloud - 8.0

SingleStore

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Content
Data Governance > Third-party systems > Database components (Integration) > SingleStore components
Data Quality and Preparation > Third-party systems > Database components (Integration) > SingleStore components
Design and Development > Third-party systems > Database components (Integration) > SingleStore components
Last publication date
2024-02-20

These properties are used to configure tSingleStoreBulkExec running in the Standard Job framework.

The Standard tSingleStoreBulkExec component belongs to the Databases family.

The component in this framework is available in all subscription-based Talend products.

Note: This component is a specific version of a dynamic database connector. The properties related to database settings vary depending on your database type selection. For more information about dynamic database connectors, see DB Generic components.

Basic settings

Database

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

Property Type

Select the way the connection details will be set.

  • Built-In: The connection details will be set locally for this component. You need to specify the values for all related connection properties manually.

  • Repository: The connection details stored centrally in Repository > Metadata will be reused by this component. You need to click the [...] button next to it and in the pop-up Repository Content dialog box, select the connection details to be reused, and all related connection properties will be automatically filled in.

This property is available when Use this Component is selected from the Connection Component drop-down list.

Connection Component

Select the component that opens the database connection to be reused by this component.

JDBC URL

The JDBC URL of the database to be used. For example, the JDBC URL for the Amazon Redshift database is jdbc:redshift://endpoint:port/database.

Drivers

Complete this table to load the driver JARs needed. To do this, click the [+] button under the table to add as many rows as needed, each row for a driver JAR, then select the cell and click the [...] button at the right side of the cell to open the Module dialog box from which you can select the driver JAR to be used. For example, the driver jar RedshiftJDBC41-1.1.13.1013.jar for the Redshift database.

For more information, see Importing a database driver.

Driver Class

Enter the class name for the specified driver between double quotation marks. For example, for the RedshiftJDBC41-1.1.13.1013.jar driver, the name to be entered is com.amazon.redshift.jdbc41.Driver.

User Id and Password

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.

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 you make changes, the schema automatically becomes built-in.

  • 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.

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.

Table Name

The name of the table into which data will be written.

Bulk file

Name of the bulk file from which the data is to be loaded.

Advanced settings

Row Separator

The separator used to identify the end of a row.

Field separator

Enter a character, a string, or a regular expression to separate fields for the transferred data.

Set text enclosure

Select this option to set the text enclosure. You can enter the enclosure character (only one character) between double quotation marks in the text field to the right. For example, to use double quotation mark (") as the enclosure character, enter """ in this field.

It is recommended to use the standard escape character, that is "\". Otherwise, you should set the same character for Escape char and Text enclosure. If the escape character is set to "\", the text enclosure can be set to any other character; if the escape character is set to a character other rather than "\", it will be changed to the same character as the text enclosure. For example, with the escape character set to "#" and the text enclosure set to "@", the escape character will be changed to "@".

Set null value

Select this option to set the null value. You can set the null value in the field to the right.

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.

Usage

Usage rule

This component can be used as a standalone component in a Job or a subJob.