Aidp Spark Optimization

by oracle-samples90b42d6c24d4No licenseListed Oct 8, 2026Updated Oct 8, 2026

Use when a Spark job/notebook is slow, missing an SLA, spilling, OOMing, generating too many small files, or shuffling/skewing heavily; when reviewing Spark/PySpark code or a Spark UI for performance; or before running a large Spark workload. Covers open-source Apache Spark 3.5.0 (+ Delta Lake) tuning -- partitions, shuffle, joins, skew, file layout, memory, codegen, caching, AQE, compression, and configuration.

Only the file list is public. File contents are available once the skill is installed in a workspace.

PathSizeType
references/01-partitioning.md21.8 KBtext/markdown
references/02-joins.md24.8 KBtext/markdown
references/03-file-layout-io.md22 KBtext/markdown
references/04-memory-and-spill.md16 KBtext/markdown
references/05-codegen.md15.4 KBtext/markdown
references/06-caching-materialization.md6.8 KBtext/markdown
references/07-aqe.md21.1 KBtext/markdown
references/08-delta-lake.md18 KBtext/markdown
references/09-oracle-database.md23.1 KBtext/markdown
references/aidp-notes.md3.9 KBtext/markdown
references/case-studies.md6.9 KBtext/markdown
references/cluster-sizing.md6.6 KBtext/markdown
references/config-matrix.md13.2 KBtext/markdown
references/diagnosis.md5.3 KBtext/markdown
references/quick-reference.md6.1 KBtext/markdown
SKILL.md10.2 KBtext/markdown

Source and attribution

Source:oracle-samples/oracle-aidp-samplesinai/claude-code-plugins/oracle-ai-data-platform-workbench-engineer-agent/skills/aidp-spark-optimizationat commit90b42d6

License: No license

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