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

Account

In the Account field, enter, in double quotation marks, the account name
that has been assigned to you by Snowflake.

Select an AWS or Azure region from the drop-down list.

Username and Password

Enter, in double quotation marks, your authentication
information to log in Snowflake.

• In the User ID field, enter, in double quotation
  marks, your login name that has been defined in Snowflake using the LOGIN_NAME parameter of Snowflake.
  For details, ask the administrator of your Snowflake system.

• 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.

Database

Enter, in double quotation marks, the name of the
Snowflake database to be used. This name is case-sensitive and is normally upper
case in Snowflake.

Warehouse

Enter, in double quotation marks, the name of the
Snowflake warehouse to be used. This name is case-sensitive and is normally upper
case in Snowflake.

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.

If the Snowflake data type to
be handled is VARIANT, OBJECT or ARRAY, while defining the schema in the
component, select String for the
corresponding data in the Type
column of the schema editor wizard.

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.

Note that if the input value of any non-nullable primitive
field is null, the row of data including that field will be rejected.

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
Talend Studio

User Guide.

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.

Select this check box to convert lowercase in the defined
table name and schema column names to uppercase. Note that unquoted
identifiers should match the Snowflake Identifier Syntax.

If you deselect the check box, all identifiers are
automatically quoted.

This property is not available when you select the
Manual Query check box.

For more information on the Snowflake Identifier Syntax,
see Identifier Syntax.

Select this check box to remove leading and trailing whitespace from all
the String/Char columns.

Usage rule

This component is used as a start component and requires an output
link..

Use a tSnowFlakeConfiguration: update component in the same Job to connect
to Snowflake.

Spark Connection

This connection is effective on a per-Job basis.