tPostgresqlOutputBulk
Prepares the file to be used as parameters in the INSERT query to feed the Postgresql database.
The tPostgresqlOutputBulk writes a file with columns based on the defined delimiter and the Postgresql standards.
The tPostgresqlOutputBulk and tPostgresqlBulkExec components are generally used together as part of a two step process. In the first step, an output file is generated. In the second step, this file is used in the INSERT operation used to feed a database. These two steps are fused together in the tPostgresqlOutputBulkExec component, detailed in a separate section. The advantage of having two separate steps is that it makes it possible to transform data before it is loaded in the database.
tPostgresqlOutputBulk Standard properties
These properties are used to configure tPostgresqlOutputBulk running in the Standard Job framework.
The Standard tPostgresqlOutputBulk component belongs to the Databases family.
The component in this framework is available in all Talend products.
This component supports PostgreSQL vector data types. Use the VECTOR or Dynamic DB type in your schema column definition to store and then query vector embeddings. For more information about pgvector, read the Amazon documentation.
Basic settings
| Properties | Description |
|---|---|
| Database |
Select the desired database type from the list and click Apply. |
| Property type | Either Built-in or
Repository
|
| File Name | Enter the name of the file to be generated. Information noteWarning: This file is generated on the local machine or a shared folder
on the LAN.
|
| Append | Select this checkbox to add the new rows at the end of the file. |
| Schema and Edit Schema | A schema is a row description, it defines the number of fields to be
processed and passed on to the next component. The schema is either Built-in or stored remotely in the Repository
Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:
This component supports PostgreSQL vector data types. Use the VECTOR or Dynamic DB type in your schema column definition to store and then query vector embeddings. For more information about pgvector, read the Amazon documentation. |
Advanced settings
| Properties | Description |
|---|---|
| Row separator | String (ex: "\n"on Unix) to distinguish rows. |
| Field separator | Character, string, or regular expression to separate fields. |
| Include header | Select this checkbox to include the column header to the file. |
| Encoding | Select the encoding from the list or select Custom and define it manually. This field is compulsory for DB data handling. |
| tStatCatcher Statistics | Select this checkbox to collect log data at the component level. |
| Enable parallel execution |
Select this check box to perform high-speed data processing, by treating
multiple data flows simultaneously. Note that this feature depends on the database or
the application ability to handle multiple inserts in parallel as well as the number of
CPU affected. In the Number of parallel executions
field, either:
Note that when parallel execution is enabled, it is not possible to use global variables to retrieve return values in a subJob.
|
Global Variables
| Variables | Description |
|---|---|
| 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. 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 checkbox is cleared, if the component has this checkbox. 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
| Usage guidance | Description |
|---|---|
| Usage rule | This component is to be used along with tPostgresqlBulkExec component. Used together they offer gains in
performance while feeding a PostgreSQL database. This component supports PostgreSQL vector data types. |