aidp-aws-s3
SkillRead and write AWS S3 (`s3a://`) from an AIDP notebook. Use when the user mentions S3, AWS S3 bucket, s3a, or has AWS access keys. Auth is access key + secret key via the Hadoop S3A connector. boto3 is also available for non-Spark management operations (list, copy).
Install
git clone https://github.com/oracle-samples/oracle-aidp-samples.git ~/.claude/skills/aidp-aws-s3What is aidp-aws-s3?
Read and write AWS S3 (`s3a://`) from an AIDP notebook. Use when the user mentions S3, AWS S3 bucket, s3a, or has AWS access keys. Auth is access key + secret key via the Hadoop S3A connector. boto3 is also available for non-Spark management operations (list, copy).
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Run shell commands
Declares Bash
Create and modify files
Declares Write or Edit
~67 tokens of context used while enabled, before you invoke anything
All declared tools (4)
BashEditReadWriteDocumentation
README · ~3 min readaidp-aws-s3 — AWS S3 via the S3A connector
Read or write s3a://<bucket>/<key> paths from AIDP Spark using AWS access keys. Optional boto3 path for management operations (list, copy, head).
When to use
- AIDP needs to consume or land data in AWS S3.
- Mentioned: "S3", "s3a", "AWS bucket".
When NOT to use
- For OCI Object Storage →
aidp-object-storage. - For Azure ADLS Gen2 →
aidp-azure-adls.
Cluster prerequisite — runtime-load BOTH hadoop-aws and aws-java-sdk-bundle
The AIDP tpcds cluster does NOT have org.apache.hadoop.fs.s3a.S3AFileSystem pre-installed (verified live 2026-04-27). Both hadoop-aws-<ver>.jar (~1 MB) AND aws-java-sdk-bundle-<ver>.jar (~280 MB) must be runtime-loaded. Match hadoop-aws to the cluster's exact Hadoop version (spark._jvm.org.apache.hadoop.util.VersionInfo.getVersion() — typically 3.3.4 for Spark 3.5.0). Mismatch produces NoSuchMethodError deep in org.apache.hadoop.fs.s3a.
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