Use Exasol `IMPORT` and `IMPORT INTO` SQL plus `exapump upload` local file workflows for moving data into Exasol. Covers CSV, FBV, and Parquet, `CREATE CONNECTION` connection objects for import, cloud credential patterns for S3, Azure Blob Storage, and Google Cloud Storage (GCS), reject handling, and staging-based import workflows. Native IMPORT does not read Avro, ORC, or Delta — those object-storage formats need the Cloud Storage Extension instead.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill covers only workflows that move data into Exasol.
Ensure a working exapump profile before giving terminal workflows that use
exapump upload:
exapump sql --profile <name> "SELECT 1"; always place --profile after the subcommand. Otherwise test the default profile with exapump sql "SELECT 1".--profile <name> after the subcommand on every later command, such as exapump upload --profile <name> <file> --table <schema.table>.exapump profile list to see which profiles exist.exapump profile show <name> — it masks credentials — to confirm the required fields are set. Never read, cat, or print ~/.exapump/config.toml; it stores credentials in clear text. If a credential value does appear in any command output, do not repeat it in the conversation.exapump profile add <name> (omit --password and exapump prompts on a hidden line) or exapump profile init, then retry step 1. Never ask the user to paste a password into the conversation, and never pass one as a command-line argument.Trigger when the user mentions IMPORT, IMPORT INTO, upload CSV, upload Parquet, local file load, exapump upload, S3 import, Azure Blob import, GCS import, Parquet import, or CREATE CONNECTION together with import or object-store loading intent.
Local files on the user machine
upload csv, upload parquet, exapump upload, from localreferences/import.mdRemote or cloud files reachable by Exasol
IMPORT, IMPORT INTO, S3, Azure Blob, GCS, FTP, SFTP, HTTP, HTTPS, CREATE CONNECTION with import or object-store loading intentreferences/import.mdParquet-specific behavior
parquet, SOURCE COLUMN NAMES, SkipCols, MaxConnections, MaxConcurrentReadsreferences/import.mdEXPORT, local export workflows, and CREATE CONNECTION questions tied to export target setup.CREATE CONNECTION questions, SQL, schema inspection, and table design.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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).
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。