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Snowflake

Abstract

Connect your Symon.AI and Snowflake accounts to import your data.

Connect your Symon.AI and Snowflake accounts to import your data.

Before you begin

Before you can create a connection between Symon.AI to import data from Snowflake, you will need a Snowflake account.

Supported data sources

This connector can import data from the Databases you define within your Snowflake role under the Snowflake account.

Import

With the correct permissions in place, you can now import your data into Symon.AI.

Importing data

  1. In Symon.AI, go to the Data tab.

  2. Click Import data.

  3. In the Third party sources section, click Snowflake.

  4. Click New connection.

  5. On the Connect to your Database page, enter the following information to connect:

    Table 20. Snowflake

    Field

    Description

    Connector name

    The name of the connection.

    Snowflake URL

    The URL to connect to Snowflake. You can use the account URL copied from the Snowflake app, or you can use https://<orgname>-<account_name>.snowflakecomputing.com.

    Note

    The orgname is the name of your Snowflake organization.

    The account_name is the unique name of your account within your organization.

    Snowflake role

    The role in Snowflake, such as <user>_role.

    Note

    The Snowflake role is an optional parameter. If you don't provide the role, the connection uses the default role.

    Warehouse

    The name of the Snowflake warehouse your data runs out of.

    Database name

    The name of the Snowflake database.

    Username

    The Snowflake user name, such as admin.

    Password

    The Snowflake password.



  6. Click Next.

  7. On the Select data page, in the Directory field, select the directory for the data set. Click Next.

  8. On the Obfuscate data page, select the data sets that you want to conceal. Click Next.

  9. On the Review page, review the data sets that you are importing.

  10. Click Import data.

    The data is available on the My Data page.

Usage examples

After creating the connection, you can view a list of available tables under your database based on the role. You can search for and select the specific table data that you want to analyze, complete the configuration steps, and start the import.

When your data is available in Symon.AI, where you can view and start analyzing it in a pipe.

Security and privacy

We use standard username and password authentication practices to connect with Snowflake, and securely store encrypted passwords.

Error handling

The following errors may appear during the import process:

Table 21. 

Error

Description

Solution

No active warehouse selected in the current session

There is an incorrect warehouse name.

To fix this error, enter the correct warehouse name.

Database doesn't exist or not authorized

There is an incorrect database name.

To fix this error, enter the correct database name.

This session does not have a current database

There is an incorrect database name.

To fix this error, enter the correct database name.

Data in column '${fieldName}' exceeds the max length of ${maxLength} characters.

This error occurs if a fieldName from your Snowflake table has too many characters.

To fix this error, see your Snowflake account and make the appropriate updates.

Table ${tableName} not found, or you are not authorized to access it.

This error occurs during Snowflake SQL compilation, when the SQL script is trying to access tables that don't exist or doesn't have access to.

To fix this error, see your Snowflake account and make the appropriate updates.

Number of columns could not exceed 150.

This error occurs when the imported data has too many columns. This is not a performance issue on the Symon.AI side, but is caused by the Snowflake python connector (maintained by Snowflake) pulling in too much data in parallel which results in a memory issue. Based on the testing results, Symon.AI sets a limitation of 150 columns.

To fix this error, see your Snowflake account and make the appropriate updates.