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tELTSybaseOutput Standard properties

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

The Standard tELTSybaseOutput component belongs to the ELT family.

The component in this framework is available in all Talend products.

Basic settings

Action on data

On the data of the table defined, you can perform the following operation:

Insert: Add new entries to the table. If duplicates are found, the Job stops.

Update: Updates entries in the table.

Delete: Deletes the entries which correspond to the entry flow.

Schema and Edit schema

A schema is a row description, that is to say, it defines the number and nature of the fields to be processed and passed on to the next component. The schema is either Built-in (local) or stored remotely in the Repository . The Schema defined is then passed on to the ELT Mapper for inclusion in the Insert SQL statement.

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.

 

Built-in: The schema is created and stored locally for this component only. Related topic: see Talend Studio User Guide.

 

Repository: The schema already exists and is stored in the Repository. Hence, it can be re-used for other projects and Jobs. Related topic: see Talend Studio User Guide.

Where clauses (for UPDATE and DELETE only)

Enter a clause to filter the data to be updated or deleted during the update or delete operations.

This field is available when Update or Delete is selected from the Action on data drop-down list and Use WHERE conditions table is not selected.

Use WHERE conditions table

Select this option to invoke the Where conditions table table, where you can set filter conditions by providing values in the Column, Function, and Value fields of the Where conditions table.

This option is available when Update or Delete is selected from the Action on data drop-down list.

Information noteNote: This option is available only when you have installed the R2021-02 Studio Monthly update or a later one delivered by Talend. For more information, check with your administrator.

Where conditions table

Add rows and enter conditions as prompted to filter the data to be updated or deleted during the update or delete operation. A data record is selected for the update or delete operation only when it matches all the conditions set in this table.

In addition to the commonly used operators (such as =, >=, <>, and so on), the Function column of this table also provides the following operators:
  • BETWEEN, which filters the data using an interval given in the Value field. The interval needs to be in the format of <start> and <end>, for example: 10 and 20.
  • LIKE, which filters the data using a string given in the Value field. The string needs to be in the format of sample_string%.
  • IN, which filters the data using the elements in a set given in the Value field. The set needs to be in the format of (element1, element2, element3, ...), for example: (1,2,5).

This option is available when the Use WHERE conditions table option is selected.

Information noteNote: This option is available only when you have installed the R2021-02 Studio Monthly update or a later one delivered by Talend. For more information, check with your administrator.

Default Table Name

Enter a default name for the table, between double quotation marks.

Note that the table must exist already. If it does not exist, you can use tCreateTable to create one first. For more information about tCreateTable, see tCreateTable.

Default Schema Name

Enter a default name for the Sybase schema, between double quotation marks.

Table name from connection name is variable

Select this check box when the name of the connection to this component is set to a variable, such as a context variable.

Use different table name

Select this check box to enter a different output table name, between double quotation marks, in the Table name field which appears.

Mapping

Specify the metadata mapping file for the database to be used. The metadata mapping file is used for the data type conversion between database and Java. For more information about the metadata mapping, see the related documentation for Type mapping.
Information noteNote: You can use Hive mapping to support Databricks Delta Lake.

Advanced settings

tStatCatcher Statistics

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

Global Variables

Global Variables

NB_LINE: the number of rows read by an input component or transferred to an output component. This is an After variable and it returns an integer.

NB_LINE_INSERTED: the number of rows inserted. This is an After variable and it returns an integer.

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 further information about variables, see Talend Studio User Guide.

Usage

Usage rule

tELTSybaseOutput is intended for use with the tELTMysqlInput and tELTSybaseMap components. Note that the Output link to be used with these components must correspond strictly to the syntax of the table name..

Information noteNote:

ELT components only handle schema information. They do not handle actual data flow.

Limitation

This component requires installation of its related jar files.

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