Establishing a Connection
Configure a Connection Profile
From the CData ribbon, click Get Data and select From Spark SQL connection/s to launch the CData Query window. To setup a new connection, you will have to click the New Spark SQL Connection button. Here you can set the connection settings, test the connection, and save the connection profile.
Connecting to Spark SQL
Specify the following to establish a connection with Spark SQL:
- Server: The host name or IP address of the server hosting SparkSQL.
- Port: The port for the connection to the SparkSQL instance.
- TransportMode: The transport mode to use to communicate with the SparkSQL server. Accepted entries are BINARY and HTTP. BINARY is selected by default.
Securing Spark SQL Connections
To enable TLS/SSL in the add-in, set UseSSL to True.
Authenticating to Spark SQL
The service may be authenticated to using the PLAIN, LDAP, NOSASL, KERBEROS auth schemes.
PLAIN
To authenticate with PLAIN, set the following connection properties:
- AuthScheme: PLAIN.
- User: The user to login as.
- Password: The password of the user.
LDAP
To authenticate with LDAP, set the following connection properties:
- AuthScheme: LDAP.
- User: The user to login as.
- Password: The password of the user.
NOSASL
When using NOSASL, no authentication is performed. Set the following connection properties:
- AuthScheme: NOSASL.
Kerberos
For details on how to authenticate with Kerberos, see Using Kerberos.
Connection Properties
The Connection properties describe the various options that can be used to establish a connection.
Managing Connections
After successfully authenticating to Spark SQL you will be able to customize the data you are importing. To learn more about this, see Managing Connections.
See Also
- Querying Data: Use the data selection wizard to pull data into a spreadsheet. You can also configure scheduled data refresh here.
- Using the Excel Add-In: Find other ways to interact with Spark SQL data, such as using the available CData Excel Functions.