Spark Connector
The Spark Connector enables querying of data using a Spark Session. This is useful for querying local instances of Spark or Delta. However, the most useful application of this connector is to leverage Spark Connect to enable connecting to a remote Spark Cluster to provide the compute for the query being run from a local machine.
from rtdip_sdk.connectors import SparkConnection
spark_server = "spark_server"
access_token = "my_token"
spark_remote = "sc://{}:443;token={}".format(spark_server, access_token)
connection = SparkConnection(spark_remote=spark_remote)
Replace the access_token with your own authentiction token.
Course Progress
- Introduction
- SDK
- Authentication
- Connectors
- Overview
- Databricks SQL
- ODBC
- Spark
- Exercise
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- Power BI
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- Excel Connector