tPostgresqlBulkExec
Improves performance while carrying out the Insert operations to a Postgresql
database.
The tPostgresqlBulkExec executes the Insert action on
the data provided.
The tPostgresqlOutputBulk and
tPostgresqlBulkExec components are used
together to first output the file that will be then used as parameter to execute the SQL
query stated. These two steps compose the tPostgresqlOutputBulkExec component, detailed in a separate section.
The interest in having two separate elements lies in the fact that it allows
transformations to be carried out before the data loading in the database.
tPostgresqlBulkExec Standard properties
These properties are used to configure tPostgresqlBulkExec running in the Standard Job framework.
The Standard
tPostgresqlBulkExec component belongs to the Databases family.
The component in this framework is available in all Talend
products.
connector. The properties related to database settings vary depending on your database
type selection. For more information about dynamic database connectors, see Dynamic database components.
Basic settings
Database |
Select a type of database from the list and click |
Property type |
Either Built-in or |
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Built-in: No property data stored |
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Repository: Select the repository |
Use an existing connection |
Select this check box and in the Component List click the relevant connection component to Note: When a Job contains the parent Job and the child Job, if you
need to share an existing connection between the two levels, for example, to share the connection created by the parent Job with the child Job, you have to:
For an example about how to share a database connection |
DB Version |
List of database versions. |
Host |
Database server IP address |
Port |
Listening port number of DB server. |
Database |
Name of the database. |
Schema |
Name of the schema. |
Username and |
DB user authentication data. To enter the password, click the […] button next to the |
Table |
Name of the table to be written. Note that only one table can be |
Action on table |
On the table defined, you can perform one of the following
None: No operation is carried
Drop and create table: The table is
Create table: The table does not
Create table if not exists: The
Drop table if exists and create:
Clear table: The table content is
Truncate table: The table content |
File Name |
Name of the file to be loaded. Warning:
This file is located on the machine specified by the URI in |
Schema and Edit |
A schema is a row description, it defines the number of fields to Click Edit
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Built-In: You create and store the schema locally for this component |
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Repository: You have already created the schema and stored it in the When the schema to be reused has default values that are You can find more details about how to |
Advanced settings
Additional JDBC Parameters |
Specify additional JDBC parameters for the This property is not available when the Use an existing connection |
Action on data |
On the data of the table defined, you can perform:
Bulk Insert: Add multiple entries
Bulk Update: Make simultaneous |
Copy the OID for each row |
Retrieve the ID item for each row. |
Contains a header line with the names of each column in |
Specify that the table contains header. |
File type |
Select the type of file being handled. |
Null string |
String displayed to indicate that the value is null. |
Fields terminated by |
Character, string or regular expression to separate fields. |
Escape char |
Character of the row to be escaped. |
Text enclosure |
Character used to enclose text. |
Activate standard_conforming_string |
Activate the variable. |
Force not null for columns |
Define the columns nullability.
Force not null: Select the check |
tStatCatcher Statistics |
Select this check box to collect log data at the component |
Usage
Usage rule |
This component is to be used along with tPostgresqlOutputBulk component. Used together, they |
Dynamic settings |
Click the [+] button to add a row in the table The Dynamic settings table is 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 |
Related scenarios
For use cases in relation with tPostgresqlBulkExec,
see the following scenarios: