Files
atc-agents/infra/hadoop/hive_bench.sh
T
mo 96d490807a 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.
2026-06-26 17:08:57 +00:00

37 lines
1.8 KiB
Bash

#!/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"