Dbeaver Snowflake

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Snowflake provides the following native SQL development and data querying interfaces:

Intro  Snowflake is data warehouse software that makes it easy to bring together all your data and make it available to all of the users and systems that need to analyze it. You can use Domo's Snowflake Using Key Pair Authentication connector to retrieve data from a specified warehouse, database, and database schema by inputting an SQL q. Join our community of data professionals to learn, connect, share and innovate together. DBeaver Unique Key Handling With Snowflake #7820. BarneyLawrence opened this issue Feb 4, 2020 0 comments Labels. Feature request x:snowflake. Copy link BarneyLawrence commented Feb 4, 2020. Issue DBeaver's interface allows for the display and creation of primary keys on tables but not unique keys. This is limiting both in that the.

Solution

Description

  • Browser-based SQL editor integrated directly into the Snowflake web interface.

  • No installation or configuration required.

  • Supports multiple, independent working environments that can be opened/closed, named, and reused across multiple sessions (all work is automatically saved).

  • Python-based client for performing all tasks in Snowflake, including querying, executing DDL/DML commands, and bulk loading/unloading of data.

  • Download from the Snowflake web interface and install using provided installer.

In addition, Snowflake works with a variety of 3rd-party SQL tools for managing the modeling, development, and deployment of SQL code inyour Snowflake applications, including, but not limited to:

Solution

Version / Installation Requirements

  • Aginity: Pro or Team

  • Snowflake: No requirements

  • DataOps.live: No requirements

  • Snowflake: No requirements

  • Available for trial via Snowflake Partner Connect.

  • DBeaver: 4.3.4 (or higher)

  • Snowflake:JDBC Driver — automatically downloaded andinstalled by DBeaver

  • erwin: Data Modeler 2020 (or higher)

  • Snowflake: No requirements

  • Additional resources:

    • User Guides > erwin Data Modeler … Snowflake Object Support (erwin Documentation)

    • User Guides > erwin Data Modeler … Database Connection Parameters (erwin Documentation)

  • SeekWell: No requirements

  • Snowflake: No requirements

  • Additional resources:

    • Connecting to Snowflake (SeekWell Help Center)

  • Solita Agile Data Engine: No requirements

  • Snowflake: No requirements

  • SqlDBM: No requirements

  • Snowflake: No requirements

  • Available for trial via Snowflake Partner Connect.

  • Additional resources:

    • SqlDBM Partnership with Snowflake (SqlDBM Blog)

  • SQL Workbench: No requirements

  • Snowflake:JDBC Driver — download from Maven

  • Additional resources:

    • Configuring SQL Workbench/J to Use Snowflake (Snowflake Community)

Note

Dbeaver snowflake classic

This is not a complete list of SQL management tools that work with Snowflake; these are known tools that have been validated for usewith Snowflake. Other tools can be used with Snowflake; however, we do not guarantee that all features/functionality in these 3rd-partytools will inter-operate with Snowflake.

The CData JDBC Driver for Snowflake implements JDBC standards that enable third-party tools to interoperate, from wizards in IDEs to business intelligence tools. This article shows how to connect to Snowflake data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for Snowflake Data

Dbeaver Snowflake Tree

Follow the steps below to load the driver JAR in DBeaver.

  1. Open the DBeaver application and, in the Databases menu, select the Driver Manager option. Click New to open the Create New Driver form.
  2. In the Driver Name box, enter a user-friendly name for the driver.
  3. To add the .jar, click Add File.
  4. In the create new driver dialog that appears, select the cdata.jdbc.snowflake.jar file, located in the lib subfolder of the installation directory.
  5. Click the Find Class button and select the SnowflakeDriver class from the results. This will automatically fill the Class Name field at the top of the form. The class name for the driver is cdata.jdbc.snowflake.SnowflakeDriver.
  6. Add jdbc:snowflake: in the URL Template field.

Create a Connection to Snowflake Data

Dbeaver Snowflake Map

Follow the steps below to add credentials and other required connection properties.

Dbeaver Snowflake Sso

  1. In the Databases menu, click New Connection.
  2. In the Create new connection wizard that results, select the driver.
  3. On the next page of the wizard, click the driver properties tab.

  4. Enter values for authentication credentials and other properties required to connect to Snowflake.

    To connect to Snowflake:

    1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
    2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
    3. Set Warehouse to the Snowflake warehouse.
    4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
    5. (Optional) Set Database and Schema to restrict the tables and views exposed.

    See the Getting Started guide in the CData driver documentation for more information.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Snowflake JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.snowflake.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    Below is a typical connection string:

    jdbc:snowflake:User=Admin;Password=test123;Server=localhost;Database=Northwind;Warehouse=TestWarehouse;Account=Tester1;
Dbeaver snowflake sso

Query Snowflake Data

Dbeaver Snowflake Null Connection Returned

You can now query information from the tables exposed by the connection: Right-click a Table and then click Edit Table. The data is available on the Data tab.