Guided setup of Exasol Personal — a free Exasol database running locally on a Mac or deployed to your own AWS, Azure, Exoscale, or STACKIT account. Covers picking the right deployment flavor, the `exasol` launcher CLI (`exasol install <preset>`, `exasol connect`, `exasol info`, `exasol deployments list`, `exasol destroy`), the `local`, `aws`, `azure`, `exoscale`, and `stackit` presets, and following the official exasol/exasol-personal instructions.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Exasol Personal is a full Exasol analytics database, free for personal use, run
either in a VM on the user's Mac or on compute in their own cloud account. This
skill gives high-level direction — which flavor, in what order, with what
confirmations — and defers every command that installs, provisions, or destroys
to the upstream exasol/exasol-personal documentation.
Any setup, install, or deployment work — always start here
set up Exasol Personal, install Exasol, deploy Exasol, Exasol on my Mac, local deployment, AWS, Azure, Exoscale, STACKIT, exasol install, preset, named deployment, sample datareferences/upstream-docs.md and references/setup-walkthrough.mdA deployment that already exists is failing — diagnosis and cleanup
exasol diag local, install failed, interrupted install, exasol destroy, exasol cache, launcher not found, deployment stuckreferences/troubleshooting.md and references/upstream-docs.mdThe two setup references are a pair: references/upstream-docs.md says which
upstream document to fetch and what to do when a fetch fails,
references/setup-walkthrough.md gives the phase order and the questions to
ask. Never run a walkthrough phase without the upstream document it names.
exasol connect, not exapump, for SQL during setup. The launcher's
client reads deployment credentials automatically; this skill never installs
or configures exapump.exasol info and exasol connect, and never
print a credential value into the conversation.Hand off to the skill that matches the user's next task: exasol-database for SQL and general exapump work, exasol-import or exasol-export for data movement, exasol-bucketfs for BucketFS, and exasol-udfs for UDF and Script Language Container work.
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Top-level router for Exasol work. Use for any Exasol database, exapump, SQL, BucketFS, extension, integration, UDF, Script Language Container, or Exasol Personal setup task, then route to the narrowest specialized Exasol skill.
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Exasol BucketFS file system management via the `exapump bucketfs` CLI. Covers listing, uploading, downloading, and deleting files and directories in BucketFS, the `bfsdefault` service and other bucket services, bucket structure, `bfs_*` profile settings, the `/buckets/<service>/<bucket>/<path>` UDF path, and staging JARs, models, and Script Language Containers for UDFs.
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Use Exasol Cloud Storage Extension workflows for moving structured object-storage files through extension UDFs. Covers setup prerequisites, the fixed `CLOUD_STORAGE_EXTENSION.IMPORT_PATH` and `CLOUD_STORAGE_EXTENSION.EXPORT_PATH` entrypoints used with `FROM SCRIPT` and `INTO SCRIPT`, Parquet, Avro, ORC, and Delta files on S3, Google Cloud Storage, Azure Blob Storage, Azure Data Lake, HDFS, and Alluxio, connection-object credential patterns, and routing away from native IMPORT or EXPORT when the extension path is the right fit.
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Exasol database interaction via the exapump CLI and Exasol SQL. Covers SQL queries and DML/DDL such as `SELECT`, `INSERT`, `UPDATE`, `DELETE`, `MERGE`, `CREATE TABLE`, `ALTER TABLE`, and `DROP TABLE`, `CREATE CONNECTION` connection objects without import or export intent, schema inspection, table design, `exapump sql` and `exapump profile`, query profiling, analytics, and Exasol-specific SQL behavior outside exasol-import and exasol-export.
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Distributed machine learning, data mining, and iterative HPC with Exasol. Covers end-to-end ML pipelines (DISTRIBUTE BY + SET scripts + BucketFS), per-entity federated training with partial_fit and ctx.reset(), batch inference, map-reduce ensemble training, distributed ensemble and SON algorithm for frequent itemset mining (Apriori, FP-Growth, association rules, market-basket analysis), Lua execute script orchestration for iterative algorithms (k-means, SGD, gradient descent), scikit-learn model training, parallel hyperparameter search, per-entity forecasting, anomaly detection, model lifecycle in BucketFS (pickle/joblib/ONNX versioning), GPU acceleration via CUDA SLCs (PyTorch/TensorFlow/RAPIDS), and ML-specific performance tuning (skew, OOM, multi-pass chunking).
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Use Exasol document-file virtual schemas for federated read-only access to object and file storage — S3, Google Cloud Storage, Azure Blob Storage, and Azure Data Lake Storage Gen2 document files. Covers document-file adapter family selection, the EDML `MAPPING` definition, `CREATE VIRTUAL SCHEMA` usage, refresh workflows, and query-side troubleshooting.
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