Skill Claude CodeCodex
Engine-agnostic oleander lake catalog conventions: catalog.namespace.table naming, hierarchy, and catalog-qualified reads/writes without raw storage paths. Use when naming tables, choosing namespaces, or referencing the lake catalog from Spark, Polars, SQL, or another engine.
Skill Claude CodeCodex
Runs lake SQL through oleander's query router: queryrun for reads, querysubmit for writes, sparksqlsubmit for named Spark jobs. Use when querying oleander lake tables, exploring data, writing query results to a table, or handling engine routing and billing errors.
Skill Claude CodeCodex
Runs Polars queries or scripts on oleander via the CLI, in local or distributed mode, and saves results to the lake catalog. Use when writing Polars jobs, choosing query vs script mode, using --save / --distributed, or wiring scan()/params/result contracts.
Skill Claude CodeCodex
General Apache Spark best practices for scalable, maintainable DataFrame jobs: avoid driver materialization, reduce shuffle, join efficiently, and cache carefully. Use when optimizing Spark performance, reviewing PySpark jobs, or writing new DataFrame pipelines.
Skill Claude CodeCodex
Spark patterns for reading and writing oleander lake catalog tables: spark.table(), append vs overwrite, and avoiding driver-side writes. Use when building Spark jobs that read or write Iceberg tables in the oleander catalog.
Skill Claude CodeCodex
Preserves connected OpenLineage for oleander Spark jobs by avoiding collect()/toPandas() between read and write, and using env vars for runtime config. Use when lineage looks disconnected, jobs split after collect(), or rewriting Spark pipelines for continuous lineage.
Skill Claude CodeCodex
Submits, monitors, aborts, and configures Spark jobs on oleander via MCP (sparkjobssubmit), the CLI, and the TypeScript SDK. Use when uploading artifacts, running PySpark jobs, polling run state, or automating Spark workflows.