oracle-ai-data-platform-workbench-spark-connectors
This plugin gives Claude Code skills for wiring data sources into Oracle AI Data Platform Workbench Spark notebooks and producing connector code.
/plugin install oracle-ai-data-platform-workbench-spark-connectors@claude-plugins-official
/plugin marketplace add anthropics/claude-plugins-community
/plugin install oracle-ai-data-platform-workbench-spark-connectors@claude-community
/plugin marketplace add anthropics/claude-plugins-officialWhat oracle-ai-data-platform-workbench-spark-connectors does
The plugin covers Oracle Autonomous DB, Exadata, Fusion services, OCI Object Storage, Kafka, Apache Iceberg, PostgreSQL, MySQL, Snowflake, BigQuery and other sources. Its skills produce plain Python for Spark JDBC, structured streaming, oci://, s3a://, abfss://, or REST-to-DataFrame flows.
A workspace needs a one-time bootstrap before connector work begins. Workbench tools upload the helper package to /Workspace/Shared/oracle_ai_data_platform_connectors/, then a bootstrap notebook checks that the package imports. Excel input uses zipfile and an XML parser, while SSL PostgreSQL connections use a driver loaded at runtime.
Each source still needs its own credentials or access setup, such as a wallet, IAM token, HTTP Basic credentials, AWS keys, or database login. The generated code cannot reach a source until that access is configured.
What it helps with
- connect Oracle Autonomous DB to Spark
- load a REST API response into a DataFrame
- read tables from PostgreSQL, Snowflake, or BigQuery
- configure streaming reads from OCI Streaming
- process Excel, S3, and Object Storage files
Example prompts for the agent
- Set up the connector skills in this workspace and run the bootstrap check.
- Write Spark code that reads an ATP table using the available authentication method.
- Load data from a REST API into a DataFrame using a manifest at
manifest.path.
How to install oracle-ai-data-platform-workbench-spark-connectors
Plugin marketplace
/plugin install oracle-ai-data-platform-workbench-spark-connectors@claude-plugins-official/plugin marketplace add anthropics/claude-plugins-community/plugin install oracle-ai-data-platform-workbench-spark-connectors@claude-community/plugin marketplace add anthropics/claude-plugins-officialStep by step, with commands for each platform: Claude Code plugins: marketplaces, installing, and building your own
Questions about oracle-ai-data-platform-workbench-spark-connectors
How do I install oracle-ai-data-platform-workbench-spark-connectors in Claude Code?
Add the marketplace, then install the plugin: /plugin marketplace add anthropics/claude-plugins-community, followed by /plugin install oracle-ai-data-platform-workbench-spark-connectors@claude-community.
What does oracle-ai-data-platform-workbench-spark-connectors do?
It adds skills that generate Spark code for databases, cloud storage, SaaS systems, and REST APIs used from Oracle AI Data Platform Workbench notebooks.
What has to happen before the first connector call?
Run the one-time workspace bootstrap. It uploads the helper package to /Workspace/Shared/oracle_ai_data_platform_connectors/ and runs a notebook that checks the import.
