mo
96d490807a
Deploys Apache Hive 3.1.3 (Derby metastore + external table over the HDFS historical CSV, MapReduce exec) on the Hadoop master, so the engine comparison shows a REAL measured Hive latency (~5.2s) next to live Trino (~0.3s); Impala stays clearly-labelled representative. The API re-measures Hive over SSH on a 30-min TTL (cached + persisted, with a committed seed). Adds filters (year/region/category/channel), a region×category heatmap, Trino exec stats, and a "where is this data read from" lineage panel (Trino->S3/Iceberg/Parquet with snapshot+files, Hive->HDFS/CSV with namenode+files). Mounts host SSH key read-only into the api container for the live Hive benchmark.
12 lines
740 B
Docker
12 lines
740 B
Docker
FROM python:3.12-slim
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WORKDIR /app
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RUN apt-get update && apt-get install -y --no-install-recommends curl && rm -rf /var/lib/apt/lists/*
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY main.py lab_context.py agent_terminal.py workload.py node_registry.py node_ops.py topology_views.py supervisor.py approval_service.py db.py dockhand_envs.py presentation.py database_inventory.py presentation_upload.py presentation_static.py storage_s3.py elasticsearch_api.py sql_console.py hdfs_api.py ssh_terminal.py pipeline_ops.py hadoop_analytics.py hive_bench_seed.json .
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RUN mkdir -p /data
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ENV DATABASE_URL=sqlite:////data/atc-agents.db
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EXPOSE 3201
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "3201"]
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