feat(hadoop): real Hive engine + filterable, detailed analytics with lineage
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.
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@@ -53,6 +53,7 @@ services:
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ELASTIC_PASSWORD: ${ELASTIC_PASSWORD:-}
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volumes:
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- api_data:/data
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- /root/.ssh:/root/.ssh:ro
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depends_on:
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redis:
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condition: service_started
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