There are three methods of authenticating this connection: Redshift also connects to S3 during COPY and UNLOAD queries. save () // Write back to a table using IAM Role based authentication df. load () // After you have applied transformations to the data, you can use // the data source API to write the data back to another table // Write back to a table df. option ( "forward_spark_s3_credentials", True ). option ( "query", "select x, count(*) group by x" ). load () // Read data from a query val df = spark. option ( "forward_spark_s3_credentials", true ). option ( "dbtable", "schema-name.table-name" ) /* if schema-name is not specified, default to "public". option ( "port", "port" ) /* Optional - will use default port 5439 if not specified. load () // Read data from a table using Databricks Runtime 11.3 LTS and above val df = spark. Read data from a table using Databricks Runtime 10.4 LTS and below val df = spark. save () ) # Write back to a table using IAM Role based authentication ( df. load () ) # After you have applied transformations to the data, you can use # the data source API to write the data back to another table # Write back to a table ( df. load () ) # Read data from a query df = ( spark. option ( "dbtable", "schema-name.table-name" ) # if schema-name is not specified, default to "public". option ( "port", "port" ) # Optional - will use default port 5439 if not specified. load () ) # Read data from a table using Databricks Runtime 11.3 LTS and above df = ( spark. # Read data from a table using Databricks Runtime 10.4 LTS and below df = ( spark. Azure Synapse with Structured Streaming. Interact with external data on Databricks.
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