The following sections describe each connection’s authentication configuration options: You cannot use an External location defined in Unity Catalog as a tempdir location. See the Encryption section of this document for a discussion of how to encrypt these files. As a result, we recommend that you use a dedicated temporary S3 bucket with an object lifecycle configuration to ensure that temporary files are automatically deleted after a specified expiration period. The data source does not clean up the temporary files that it creates in S3. As a result, it requires AWS credentials with read and write access to an S3 bucket (specified using the tempdir configuration parameter). The data source reads and writes data to S3 when transferring data to/from Redshift. The data source involves several network connections, illustrated in the following diagram: ┌───────┐ Configuration Authenticating to S3 and Redshift If you plan to perform several queries against the same data in Redshift, Databricks recommends saving the extracted data using Delta Lake. Query execution may extract large amounts of data to S3. Recommendations for working with Redshift Write back to a table using IAM Role based authentication the data source API to write the data back to another table After you have applied transformations to the data, you can use The SQL API supports only the creation of new tables and not overwriting or appending. ![]() Write data using SQL: DROP TABLE IF EXISTS redshift_table Read data using SQL: DROP TABLE IF EXISTS redshift_table # Write back to a table using IAM Role based authentication # the data source API to write the data back to another table # After you have applied transformations to the data, you can use option("query", "select x, count(*) group by x") option("forward_spark_s3_credentials", True) After the JDBC driver has been configured and the connector has been enabled, users with the correct access privileges can use the connector to connect to the data store in a data source configuration.External locations defined in Unity Catalog are not supported as tempdir locations. Log in as the supervisor, access the Connectors page, and verify that the connector is enabled so it appears in the data source list. For CentOS 7 or 8 and Ubuntu 16 or 18: systemctl restart zoomdata-edc.Restart the corresponding connector by running the appropriate command: Save your changes to the properties file. If you need to add multiple paths, use a comma-separated list: -path=,įor MemSQL and MySQL connectors, add the following property to the property files: -name=.jdbc.Driver In the edc-.properties file, add the following property: -path= Replace with the name of the connector you are configuring: Connector If the properties file does not exist, this command creates it. If you are not logged in as a root user, enter sudo vi /etc/zoomdata/edc-.properties to create the desired file. Use the following command to access and open the property file: vi /etc/zoomdata/edc-.properties Make sure that the Composer administrator has read-level access rights to the JDBC driver (JAR) file. See the following table for resources for vendor’s JDBC drivers. If this folder does not exist, you need to create it in the location mentioned above. Place the required driver in the following folder: /usr/local/share/java/zoomdata. To use any of the connectors listed above, perform the following steps to install the required JDBC driver after successful installation of Composer microservices:ĭownload the required driver from the vendor’s site to the corresponding Composer instance. See Manage Connectors and Connector Servers. If the JDBC driver for the Composer connector is not configured, the connector server will not start and the connector cannot be enabled within Composer. As a result, in order to connect to and visualize data from Composer, you first need to download and install a JDBC driver. This approach allows you the flexibility to add a specific JDBC driver that meets your licensing, support policies or operational needs. The following Composer connectors are distributed with a JDBC driver, but you can download and install newer versions using the information in this topic: Snowflake. You need to provide your own JDBC driver for the following data sources: For certain data sources, the JDBC drivers needed are no longer included in the installation package of Composer.
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