Select a type of database from the list and click
Apply.

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.

Use an existing connection

Select this check box and in the Component List click the relevant connection component to
reuse the connection details you already defined.

Host

Database server IP address.

Port

Listening port number of DB server.

Database

Name of the database.

Schema

Exact name of the schema.

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

Action on table

On the table defined, you can perform one of the following
operations:

None: No operation is carried
out.

Drop and create a table: The table
is removed and created again.

Create a table: The table does not
exist and gets created.

Create a table if not exists: The
table is created if it does not exist.

Drop a table if exists and create:
The table is removed if it already exists and created again.

Clear a table: The table content is
deleted.

Filename

Name of the file to be loaded.

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.

You can find more details about how to
verify default values in retrieved schema in Talend Help Center (https://help.talend.com).

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.

Action on data

Select the operation you want to perform:

Bulk insert
Bulk update The details asked will be different
according to the action chosen.

Copy the OID for each row

Retrieve the ID item for each row.

Contains a header line with the names of each column in
the file

Specify that the table contains header.

File type

Select the file type to process.

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.

Force not null for columns

Define the columns nullability

Force not null: Select the check
box next to the column you want to define as not null.

tStat
Catcher Statistics

Select this check box to collect log data at the component
level.

Usage rule

This component is generally used with a tGreenplumOutputBulk component. Used together they
offer gains in performance while feeding a Greenplum
database.

Dynamic settings

Click the [+] button to add a row in the table
and fill the Code field with a context
variable to choose your database connection dynamically from multiple
connections planned in your Job. This feature is useful when you need to
access database tables having the same data structure but in different
databases, especially when you are working in an environment where you
cannot change your Job settings, for example, when your Job has to be
deployed and executed independent of Talend Studio.

The Dynamic settings table is
available only when the Use an existing
connection check box is selected in the Basic settings view. Once a dynamic parameter is
defined, the Component List box in the
Basic settings view becomes unusable.

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
settings and context variables, see Talend Studio
User Guide.