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.

infra/hadoop/hive_bench.sh

@@ -0,0 +1,36 @@
+#!/bin/bash
+# Real Hive benchmark on the HDFS historical dataset. Emits one JSON line.
+# Retries because Hive's LocalJobRunner can flake on a cold first job.
+export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
+export HIVE_HOME=/opt/hive
+export HADOOP_HOME=/usr/lib/hadoop
+export HADOOP_CONF_DIR=/opt/hive/hadoopconf
+export HADOOP_USER_NAME=hdfs
+export HADOOP_CLIENT_OPTS="-Xmx3g"
+export PATH=$JAVA_HOME/bin:$HIVE_HOME/bin:$PATH
+
+Q="SELECT region, round(sum(amount),2) AS revenue, count(*) AS n FROM lake.historical_sales GROUP BY region ORDER BY revenue DESC"
+ISO=$(date -u +%Y-%m-%dT%H:%M:%SZ)
+HSIZE=$(hdfs dfs -du -s /data/historical/sales_orders 2>/dev/null | awk '{print $1}'); [ -z "$HSIZE" ] && HSIZE=0
+HFILES=$(hdfs dfs -ls -R /data/historical/sales_orders 2>/dev/null | grep -c "part-"); [ -z "$HFILES" ] && HFILES=0
+
+ERR=$(mktemp); OUT=$(mktemp); RC=1; WALL=0; TT=0
+for attempt in 1 2 3; do
+  T0=$(date +%s%3N)
+  $HIVE_HOME/bin/hive -e "$Q" >"$OUT" 2>"$ERR"
+  RC=$?
+  T1=$(date +%s%3N)
+  WALL=$((T1-T0))
+  if [ $RC -eq 0 ] && [ -s "$OUT" ]; then
+    TT=$(grep -oE "Time taken: [0-9.]+ seconds" "$ERR" | grep -oE "[0-9.]+" | sort -nr | head -1)
+    break
+  fi
+  sleep 2
+done
+[ -z "$TT" ] && TT=0
+QMS=$(awk "BEGIN{printf \"%d\", $TT*1000}")
+ROWS_JSON=$(awk -F'\t' 'NF>=3{printf "%s{\"region\":\"%s\",\"revenue\":%s,\"n\":%s}", (c++? ",":""), $1,$2,$3}' "$OUT")
+cat <<JSON
+{"engine":"Hive","ok":$([ $RC -eq 0 ] && echo true || echo false),"attempts":$attempt,"version":"3.1.3","exec":"MapReduce (local)","storage":"HDFS · CSV (TEXTFILE)","table":"lake.historical_sales","hdfs_location":"hdfs://atc-hadoop-m01:8020/data/historical/sales_orders","hdfs_size_bytes":$HSIZE,"hdfs_files":$HFILES,"query":"$Q","query_time_ms":$QMS,"wall_ms":$WALL,"rows":25000,"measured_at":"$ISO","by_region":[${ROWS_JSON}]}
+JSON
+rm -f "$ERR" "$OUT"