# tSnowflakeConfiguration Stores connection information and credentials to be reused by other Snowflake components in the Apache Spark Batch framework. This component is not shipped with your Talend Studio by default. You need to install it using the Feature Manager. For more information, see [Installing features using the Feature Manager](https://help.qlik.com/talend/r/en-US/8.0/studio-user-guide/install-features-to-talend-studio). ## tSnowflakeConfiguration properties for Apache Spark Batch These properties are used to configure tSnowflakeConfiguration running in the Spark Batch Job framework. The Spark Batch tSnowflakeConfiguration component belongs to the Databases family. The component in this framework is available in all subscription-based Talend products with Big Data and Talend Data Fabric. This component is not supported with Spark 4.0.x. ## Basic settings | Properties | Description | | --- | --- | | Account | In the Account field, enter, in double
quotation marks, the account name that has been assigned to you by Snowflake. | | Region | Select an AWS or Azure region from the drop-down
list. | | Authentication method | Set the authentication method.

Key Pair: Select this option if key pair authentication is enabled. For more information about key pair authentication, see Using Key Pair Authentication.

Information noteNote: Before selecting the Key
Pair option, make sure you have set the key pair authentication
data in the Basic settings view of the tSetKeystore
component as follows.

Leave the TrustStore type field unchanged.
Set TrustStore file to "".
Clear the TrustStore password field.
Select Need Client authentication.
Enter the path to the key store file in double quotation marks in the KeyStore file field (or click the […] button to the right of the KeyStore file field and navigate to the key store file).
Enter the key store file password in the KeyStore password field.
Clear the Check server identity option.

Information noteNote: The Key Pair
option is available only with the EMR 5.29 and CDH 6.1 distributions
when you are using Spark v2.4 and onwards in the Local Spark
mode. | | Username and Password | Enter, in double quotation marks, your authentication information to
log in to Snowflake. | | 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. | | Database Schema | Enter,
within double quotation marks, the name of the database schema 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. | | Connection properties | Enter, in double quotation marks, a connection property and the
associated value in the corresponding columns. You can find the
properties available in [Setting Configuration Options for the
Connector](https://docs.snowflake.com/en/user-guide/spark-connector-use.html#setting-configuration-options-for-the-connector) from the official Snowflake documentation. | ## Advanced settings | Properties | Description | | --- | --- | | Use Custom Region | Select this check box to use the customized Snowflake region. | | Custom Region | Enter, within double quotation marks, the name of the region to be
used. This name is case-sensitive and is normally upper case in
Snowflake. | ## Usage | Usage guidance | Description | | --- | --- | | **Usage rule** | This component is used with no need to be connected to other
components.

The configuration in a tSnowflakeConfiguration component applies only on the Snowflake
related components that use this configuration and that are in the same Job. | | Spark Connection | In the Spark
Configuration tab in the Run
view, define the connection to a given Spark cluster for the whole Job. In
addition, since the Job expects its dependent jar files for execution, you must
specify the directory in the file system to which these jar files are
transferred so that Spark can access these files:

Yarn mode (Yarn client or Yarn cluster):
- When using Google Dataproc, specify a bucket in the Google Storage staging bucket field in the Spark configuration tab.
- When using HDInsight, specify the blob to be used for Job deployment in the Windows Azure Storage configuration area in the Spark configuration tab.
- When using Altus, specify the S3 bucket or the Azure Data Lake Storage for Job deployment in the Spark configuration tab.
- When using on-premises distributions, use the configuration component corresponding to the file system your cluster is using. Typically, this system is HDFS and so use tHDFSConfiguration.
Standalone mode: use the configuration component corresponding to the file system your cluster is using, such as tHDFSConfiguration Apache Spark Batch or tS3Configuration Apache Spark Batch.

If you are using Databricks without any configuration component present in your Job, your business data is written directly in DBFS (Databricks Filesystem).

This connection is effective on a per-Job basis. |