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Connect to Spark Data in DBeaver

Manage Spark data with visual tools in DBeaver like the query browser.

The CData JDBC Driver for Spark 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 Spark data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for Spark Data

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.sparksql.jar file, located in the lib subfolder of the installation directory.
  5. Click the Find Class button and select the SparkSQLDriver 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.sparksql.SparkSQLDriver.
  6. Add jdbc:sparksql: in the URL Template field.

Create a Connection to Spark Data

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

  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 Spark.

    SparkSQL への接続

    SparkSQL への接続を確立するには以下を指定します。

    • Server:SparkSQL をホストするサーバーのホスト名またはIP アドレスに設定。
    • Port:SparkSQL インスタンスへの接続用のポートに設定。
    • TransportMode:SparkSQL サーバーとの通信に使用するトランスポートモード。有効な入力値は、BINARY およびHTTP です。デフォルトではBINARY が選択されます。
    • AuthScheme:使用される認証スキーム。有効な入力値はPLAIN、LDAP、NOSASL、およびKERBEROS です。デフォルトではPLAIN が選択されます。

    Databricks への接続

    Databricks クラスターに接続するには、以下の説明に従ってプロパティを設定します。Note:The needed values can be found in your Databricks instance by navigating to 'Clusters', selecting the desired cluster, and selecting the JDBC/ODBC tab under 'Advanced Options'.

    • Server:Set to the Server Hostname of your Databricks cluster.
    • Port:443
    • TransportMode:HTTP
    • HTTPPath:Set to the HTTP Path of your Databricks cluster.
    • UseSSL:True
    • AuthScheme:PLAIN
    • User:'token' に設定。
    • Password:Set to your personal access token (value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).

    Below is a typical connection string:

    jdbc:sparksql:Server=127.0.0.1;

Query Spark Data

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.

 
 
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