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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mo
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#!/bin/bash
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# Real Hive benchmark on the HDFS historical dataset. Emits one JSON line.
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# Retries because Hive's LocalJobRunner can flake on a cold first job.
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export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
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export HIVE_HOME=/opt/hive
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export HADOOP_HOME=/usr/lib/hadoop
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export HADOOP_CONF_DIR=/opt/hive/hadoopconf
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export HADOOP_USER_NAME=hdfs
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export HADOOP_CLIENT_OPTS="-Xmx3g"
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export PATH=$JAVA_HOME/bin:$HIVE_HOME/bin:$PATH
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Q="SELECT region, round(sum(amount),2) AS revenue, count(*) AS n FROM lake.historical_sales GROUP BY region ORDER BY revenue DESC"
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ISO=$(date -u +%Y-%m-%dT%H:%M:%SZ)
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HSIZE=$(hdfs dfs -du -s /data/historical/sales_orders 2>/dev/null | awk '{print $1}'); [ -z "$HSIZE" ] && HSIZE=0
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HFILES=$(hdfs dfs -ls -R /data/historical/sales_orders 2>/dev/null | grep -c "part-"); [ -z "$HFILES" ] && HFILES=0
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ERR=$(mktemp); OUT=$(mktemp); RC=1; WALL=0; TT=0
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for attempt in 1 2 3; do
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T0=$(date +%s%3N)
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$HIVE_HOME/bin/hive -e "$Q" >"$OUT" 2>"$ERR"
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RC=$?
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T1=$(date +%s%3N)
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WALL=$((T1-T0))
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if [ $RC -eq 0 ] && [ -s "$OUT" ]; then
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TT=$(grep -oE "Time taken: [0-9.]+ seconds" "$ERR" | grep -oE "[0-9.]+" | sort -nr | head -1)
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break
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fi
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sleep 2
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done
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[ -z "$TT" ] && TT=0
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QMS=$(awk "BEGIN{printf \"%d\", $TT*1000}")
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ROWS_JSON=$(awk -F'\t' 'NF>=3{printf "%s{\"region\":\"%s\",\"revenue\":%s,\"n\":%s}", (c++? ",":""), $1,$2,$3}' "$OUT")
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cat <<JSON
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{"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":[${ROWS_JSON}]}
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JSON
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rm -f "$ERR" "$OUT"
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#!/bin/bash
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set -e
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export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk
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export HIVE_HOME=/opt/hive
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# Bigtop hadoop: pick a HADOOP_HOME that contains bin/hadoop
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if [ -x /usr/lib/hadoop/bin/hadoop ]; then export HADOOP_HOME=/usr/lib/hadoop; else export HADOOP_HOME=/usr; fi
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export HADOOP_CONF_DIR=/etc/hadoop/conf
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export PATH=$JAVA_HOME/bin:$HIVE_HOME/bin:$PATH
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echo "JAVA_HOME=$JAVA_HOME HADOOP_HOME=$HADOOP_HOME"
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echo "=== guava fix ==="
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rm -f /opt/hive/lib/guava-19.0.jar
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cp -f /usr/lib/hadoop/lib/guava-27.0-jre.jar /opt/hive/lib/ 2>/dev/null || cp -f /usr/lib/hadoop/client/guava-27.0-jre.jar /opt/hive/lib/
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ls /opt/hive/lib/guava-*.jar
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echo "=== hive-site.xml ==="
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cat > /opt/hive/conf/hive-site.xml <<'XML'
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<?xml version="1.0"?>
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<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
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<configuration>
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<property><name>javax.jdo.option.ConnectionURL</name><value>jdbc:derby:;databaseName=/opt/hive/metastore_db;create=true</value></property>
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<property><name>javax.jdo.option.ConnectionDriverName</name><value>org.apache.derby.jdbc.EmbeddedDriver</value></property>
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<property><name>hive.metastore.warehouse.dir</name><value>/user/hive/warehouse</value></property>
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<property><name>hive.execution.engine</name><value>mr</value></property>
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<property><name>mapreduce.framework.name</name><value>local</value></property>
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<property><name>hive.exec.mode.local.auto</name><value>true</value></property>
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<property><name>hive.exec.submitviachild</name><value>false</value></property>
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<property><name>hive.metastore.schema.verification</name><value>false</value></property>
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<property><name>datanucleus.schema.autoCreateAll</name><value>true</value></property>
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<property><name>hive.server2.enable.doAs</name><value>false</value></property>
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<property><name>hive.stats.autogather</name><value>false</value></property>
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<property><name>hive.metastore.event.db.notification.api.auth</name><value>false</value></property>
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</configuration>
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XML
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cat > /opt/hive/conf/hive-env.sh <<ENV
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export JAVA_HOME=$JAVA_HOME
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export HADOOP_HOME=$HADOOP_HOME
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export HADOOP_CONF_DIR=$HADOOP_CONF_DIR
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export HIVE_HOME=$HIVE_HOME
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ENV
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# reusable wrapper for running hive non-interactively
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cat > /opt/hive/runhive.sh <<WRAP
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#!/bin/bash
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export JAVA_HOME=$JAVA_HOME
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export HIVE_HOME=$HIVE_HOME
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export HADOOP_HOME=$HADOOP_HOME
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export HADOOP_CONF_DIR=$HADOOP_CONF_DIR
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export HADOOP_CLIENT_OPTS="-Xmx2g \$HADOOP_CLIENT_OPTS"
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export PATH=\$JAVA_HOME/bin:\$HIVE_HOME/bin:\$PATH
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exec hive "\$@"
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WRAP
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chmod +x /opt/hive/runhive.sh
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echo "=== init derby metastore schema ==="
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rm -rf /opt/hive/metastore_db
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cd /opt/hive
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$HIVE_HOME/bin/schematool -dbType derby -initSchema >/tmp/schematool.log 2>&1 && echo "schema init OK" || { echo "schema init FAILED"; tail -25 /tmp/schematool.log; exit 1; }
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