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feat(arc): add ClickBench results for Arc on c6a.4xlarge #634

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29e86a5
adding arc values
xe-nvdk Oct 6, 2025
a433b23
we missed one query, now is complete
xe-nvdk Oct 6, 2025
01b692e
fixing run.sh and re run, just in case both benchmark in pro m3 max a…
xe-nvdk Oct 6, 2025
b663892
disabling query caching and re ran the benchmarks
xe-nvdk Oct 6, 2025
7a40588
updating repo to match the current for arc
xe-nvdk Oct 7, 2025
b934055
Merge branch 'main' into main
xe-nvdk Oct 7, 2025
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108 changes: 108 additions & 0 deletions arc/benchmark.sh
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#!/bin/bash
# Arc ClickBench Complete Benchmark Script
# This script installs Arc, loads data, and runs the benchmark

set -e

# Install Python and dependencies
echo "Installing dependencies..."
pip3 install fastapi uvicorn duckdb pyarrow requests gunicorn
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This requires running pip with --break-system-packages.

Would it be possible to create a Python venv? See e.g. chdb/benchmark.sh for an example.

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Yep, we have in our start.sh in the repo, I'm adding to this script.


# Clone Arc repository
if [ ! -d "arc" ]; then
echo "Cloning Arc repository..."
git clone https://github.com/exydata-ventures/arc.git
fi

cd arc

# Install Arc dependencies
echo "Installing Arc dependencies..."
pip3 install -r requirements.txt

# Start Arc in background
echo "Starting Arc server..."
ARC_API_KEY="clickbench-benchmark-key"
export ARC_API_KEY

# Create API token for benchmark
python3 << EOF
from api.auth import AuthManager, Permission
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I got the next error here:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ImportError: cannot import name 'Permission' from 'api.auth' (/data/ClickBench/arc/arc/api/auth.py)

I checked, there is indeed no Permission class in file auth.py.

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@xe-nvdk xe-nvdk Oct 7, 2025 •
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Uff, thank you for this, its old code, in our repo we have this right. Let me update it here too.

import os

auth = AuthManager(db_path='./data/historian.db')
token = auth.create_token(
name='clickbench',
permissions=Permission.FULL_ACCESS,
description='ClickBench benchmark access'
)
print(f"Created API token: {token}")

# Write token to file for run.sh to use
with open('../arc_token.txt', 'w') as f:
f.write(token)
EOF

ARC_TOKEN=$(cat ../arc_token.txt)

# Start Arc server
gunicorn -w 4 -b 0.0.0.0:8000 -k uvicorn.workers.UvicornWorker --timeout 300 api.main:app > ../arc.log 2>&1 &
ARC_PID=$!
echo "Arc started with PID: $ARC_PID"

# Wait for Arc to be ready
sleep 5
if ! curl -s -f http://localhost:8000/health > /dev/null; then
echo "Error: Arc failed to start"
cat ../arc.log
exit 1
fi

echo "Arc is ready!"

cd ..

# Download and prepare dataset
if [ ! -f "hits.parquet" ]; then
echo "Downloading ClickBench dataset..."
wget --continue --progress=dot:giga 'https://datasets.clickhouse.com/hits_compatible/hits.parquet'
fi

echo "Dataset size:"
ls -lh hits.parquet

# Count rows
echo "Counting rows..."
python3 << 'EOF'
import duckdb
conn = duckdb.connect()
count = conn.execute("SELECT COUNT(*) FROM read_parquet('hits.parquet')").fetchone()[0]
print(f"Dataset rows: {count:,}")
EOF

# Set environment variables for run.sh
export ARC_URL="http://localhost:8000"
export ARC_API_KEY="$ARC_TOKEN"

# Run benchmark
echo "Running ClickBench queries via Arc HTTP API..."
./run.sh 2>&1 | tee log.txt

# Stop Arc
echo "Stopping Arc..."
kill $ARC_PID 2>/dev/null || true

# Format results
echo "Formatting results..."
cat log.txt | \
grep -E '^\d+\.\d+|null' | \
awk 'BEGIN {print "["}
{
if (NR % 3 == 1) printf " [";
printf "%s", $1;
if (NR % 3 == 0) print "],";
else printf ", ";
}
END {print "]"}'

echo "Benchmark complete!"
112 changes: 112 additions & 0 deletions arc/create.sql
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-- Arc uses DuckDB to query Parquet files directly
-- Schema is inferred from the Parquet file structure
-- This file documents the schema for reference

CREATE TABLE hits
(
WatchID BIGINT NOT NULL,
JavaEnable SMALLINT NOT NULL,
Title TEXT,
GoodEvent SMALLINT NOT NULL,
EventTime TIMESTAMP NOT NULL,
EventDate Date NOT NULL,
CounterID INTEGER NOT NULL,
ClientIP INTEGER NOT NULL,
RegionID INTEGER NOT NULL,
UserID BIGINT NOT NULL,
CounterClass SMALLINT NOT NULL,
OS SMALLINT NOT NULL,
UserAgent SMALLINT NOT NULL,
URL TEXT,
Referer TEXT,
IsRefresh SMALLINT NOT NULL,
RefererCategoryID SMALLINT NOT NULL,
RefererRegionID INTEGER NOT NULL,
URLCategoryID SMALLINT NOT NULL,
URLRegionID INTEGER NOT NULL,
ResolutionWidth SMALLINT NOT NULL,
ResolutionHeight SMALLINT NOT NULL,
ResolutionDepth SMALLINT NOT NULL,
FlashMajor SMALLINT NOT NULL,
FlashMinor SMALLINT NOT NULL,
FlashMinor2 TEXT,
NetMajor SMALLINT NOT NULL,
NetMinor SMALLINT NOT NULL,
UserAgentMajor SMALLINT NOT NULL,
UserAgentMinor VARCHAR(255) NOT NULL,
CookieEnable SMALLINT NOT NULL,
JavascriptEnable SMALLINT NOT NULL,
IsMobile SMALLINT NOT NULL,
MobilePhone SMALLINT NOT NULL,
MobilePhoneModel TEXT,
Params TEXT,
IPNetworkID INTEGER NOT NULL,
TraficSourceID SMALLINT NOT NULL,
SearchEngineID SMALLINT NOT NULL,
SearchPhrase TEXT,
AdvEngineID SMALLINT NOT NULL,
IsArtifical SMALLINT NOT NULL,
WindowClientWidth SMALLINT NOT NULL,
WindowClientHeight SMALLINT NOT NULL,
ClientTimeZone SMALLINT NOT NULL,
ClientEventTime TIMESTAMP NOT NULL,
SilverlightVersion1 SMALLINT NOT NULL,
SilverlightVersion2 SMALLINT NOT NULL,
SilverlightVersion3 INTEGER NOT NULL,
SilverlightVersion4 SMALLINT NOT NULL,
PageCharset TEXT,
CodeVersion INTEGER NOT NULL,
IsLink SMALLINT NOT NULL,
IsDownload SMALLINT NOT NULL,
IsNotBounce SMALLINT NOT NULL,
FUniqID BIGINT NOT NULL,
OriginalURL TEXT,
HID INTEGER NOT NULL,
IsOldCounter SMALLINT NOT NULL,
IsEvent SMALLINT NOT NULL,
IsParameter SMALLINT NOT NULL,
DontCountHits SMALLINT NOT NULL,
WithHash SMALLINT NOT NULL,
HitColor CHAR NOT NULL,
LocalEventTime TIMESTAMP NOT NULL,
Age SMALLINT NOT NULL,
Sex SMALLINT NOT NULL,
Income SMALLINT NOT NULL,
Interests SMALLINT NOT NULL,
Robotness SMALLINT NOT NULL,
RemoteIP INTEGER NOT NULL,
WindowName INTEGER NOT NULL,
OpenerName INTEGER NOT NULL,
HistoryLength SMALLINT NOT NULL,
BrowserLanguage TEXT,
BrowserCountry TEXT,
SocialNetwork TEXT,
SocialAction TEXT,
HTTPError SMALLINT NOT NULL,
SendTiming INTEGER NOT NULL,
DNSTiming INTEGER NOT NULL,
ConnectTiming INTEGER NOT NULL,
ResponseStartTiming INTEGER NOT NULL,
ResponseEndTiming INTEGER NOT NULL,
FetchTiming INTEGER NOT NULL,
SocialSourceNetworkID SMALLINT NOT NULL,
SocialSourcePage TEXT,
ParamPrice BIGINT NOT NULL,
ParamOrderID TEXT,
ParamCurrency TEXT,
ParamCurrencyID SMALLINT NOT NULL,
OpenstatServiceName TEXT,
OpenstatCampaignID TEXT,
OpenstatAdID TEXT,
OpenstatSourceID TEXT,
UTMSource TEXT,
UTMMedium TEXT,
UTMCampaign TEXT,
UTMContent TEXT,
UTMTerm TEXT,
FromTag TEXT,
HasGCLID SMALLINT NOT NULL,
RefererHash BIGINT NOT NULL,
URLHash BIGINT NOT NULL,
CLID INTEGER NOT NULL
);
47 changes: 47 additions & 0 deletions arc/queries.sql
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-- ClickBench Queries for Arc
-- Original: https://github.com/ClickHouse/ClickBench
-- Adapted for Arc's DuckDB engine (table name: clickbench.hits)

SELECT COUNT(*) FROM clickbench.hits;
SELECT COUNT(*) FROM clickbench.hits WHERE AdvEngineID <> 0;
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM clickbench.hits;
SELECT AVG(UserID) FROM clickbench.hits;
SELECT COUNT(DISTINCT UserID) FROM clickbench.hits;
SELECT COUNT(DISTINCT SearchPhrase) FROM clickbench.hits;
SELECT MIN(EventDate), MAX(EventDate) FROM clickbench.hits;
SELECT AdvEngineID, COUNT(*) FROM clickbench.hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM clickbench.hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM clickbench.hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM clickbench.hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM clickbench.hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
SELECT SearchPhrase, COUNT(*) AS c FROM clickbench.hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM clickbench.hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM clickbench.hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
SELECT UserID, COUNT(*) FROM clickbench.hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
SELECT UserID, SearchPhrase, COUNT(*) FROM clickbench.hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
SELECT UserID, SearchPhrase, COUNT(*) FROM clickbench.hits GROUP BY UserID, SearchPhrase LIMIT 10;
SELECT UserID, minute(to_timestamp(EventTime)) AS m, SearchPhrase, COUNT(*) FROM clickbench.hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
SELECT UserID FROM clickbench.hits WHERE UserID = 435090932899640449;
SELECT COUNT(*) FROM clickbench.hits WHERE URL LIKE '%google%';
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM clickbench.hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM clickbench.hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
SELECT * FROM clickbench.hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
SELECT SearchPhrase FROM clickbench.hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
SELECT SearchPhrase FROM clickbench.hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
SELECT SearchPhrase FROM clickbench.hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM clickbench.hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM clickbench.hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM clickbench.hits;
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM clickbench.hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM clickbench.hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM clickbench.hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
SELECT URL, COUNT(*) AS c FROM clickbench.hits GROUP BY URL ORDER BY c DESC LIMIT 10;
SELECT 1, URL, COUNT(*) AS c FROM clickbench.hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM clickbench.hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
SELECT URL, COUNT(*) AS PageViews FROM clickbench.hits WHERE CounterID = 62 AND EventDate >= 15887 AND EventDate <= 15917 AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
SELECT Title, COUNT(*) AS PageViews FROM clickbench.hits WHERE CounterID = 62 AND EventDate >= 15887 AND EventDate <= 15917 AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
SELECT URL, COUNT(*) AS PageViews FROM clickbench.hits WHERE CounterID = 62 AND EventDate >= 15887 AND EventDate <= 15917 AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM clickbench.hits WHERE CounterID = 62 AND EventDate >= 15887 AND EventDate <= 15917 AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM clickbench.hits WHERE CounterID = 62 AND EventDate >= 15887 AND EventDate <= 15917 AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM clickbench.hits WHERE CounterID = 62 AND EventDate >= 15887 AND EventDate <= 15917 AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
SELECT DATE_TRUNC('minute', to_timestamp(EventTime)) AS M, COUNT(*) AS PageViews FROM clickbench.hits WHERE CounterID = 62 AND EventDate >= 15900 AND EventDate <= 15901 AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', to_timestamp(EventTime)) ORDER BY DATE_TRUNC('minute', to_timestamp(EventTime)) LIMIT 10 OFFSET 1000;
64 changes: 64 additions & 0 deletions arc/results/c6a.4xlarge.json
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{
"system": "Arc",
"date": "2025-10-06",
"machine": "c6a.4xlarge",
"cluster_size": 1,
"proprietary": "no",
"tuned": "no",
"tags": [
"Python",
"time-series",
"DuckDB",
"Parquet",
"columnar",
"HTTP API"
],
"load_time": null,
"data_size": 14000000000,
"comment": "Arc queried via HTTP API with default DuckDB settings on AWS c6a.4xlarge (16 vCPU, 32GB RAM, AMD EPYC 7R13). MinIO storage backend. Query result caching DISABLED per ClickBench rules. Results show end-to-end performance including HTTP/JSON overhead.",
"result": [
[0.0495, 0.0315, 0.0308],
[0.0506, 0.0504, 0.0490],
[0.0724, 0.0760, 0.0731],
[0.0756, 0.0721, 0.0723],
[0.3331, 0.3364, 0.3340],
[0.5585, 0.5494, 0.5347],
[0.0753, 0.0568, 0.0556],
[0.0520, 0.0550, 0.0524],
[0.4526, 0.4466, 0.4477],
[0.5740, 0.5644, 0.5696],
[0.1576, 0.1362, 0.1384],
[0.1812, 0.1874, 0.1743],
[0.5680, 0.5554, 0.5415],
[0.9049, 0.8846, 0.8608],
[0.5997, 0.5842, 0.5988],
[0.3877, 0.4011, 0.4203],
[1.0540, 1.0148, 1.0259],
[0.7900, 0.8034, 0.8194],
[3.3540, 3.3383, 3.3134],
[0.0626, 0.0565, 0.0715],
[1.1314, 0.9209, 0.9204],
[0.8490, 0.8534, 0.8425],
[1.6805, 1.6875, 1.6692],
[0.5279, 0.5298, 0.5233],
[0.1976, 0.1943, 0.2042],
[0.2918, 0.2933, 0.2947],
[0.1406, 0.1384, 0.1348],
[0.9876, 0.9844, 0.9948],
[9.0962, 9.1212, 9.1412],
[0.0855, 0.0756, 0.0760],
[0.7834, 0.6292, 0.5925],
[0.6761, 0.6845, 0.6992],
[2.0504, 2.0575, 2.0552],
[2.3073, 2.3589, 2.3629],
[2.4262, 2.3945, 2.4106],
[0.5756, 0.7322, 0.6191],
[0.1336, 0.1306, 0.1467],
[0.1588, 0.1333, 0.1282],
[0.1004, 0.0906, 0.0903],
[0.2652, 0.2691, 0.2817],
[0.0580, 0.0659, 0.0610],
[0.0867, 0.0601, 0.0595],
[0.2194, 0.2263, 0.2208]
]
}
64 changes: 64 additions & 0 deletions arc/results/m3_max.json
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{
"system": "Arc",
"date": "2025-10-06",
"machine": "m3_max",
"cluster_size": 1,
"proprietary": "no",
"tuned": "no",
"tags": [
"Python",
"time-series",
"DuckDB",
"Parquet",
"columnar",
"HTTP API"
],
"load_time": null,
"data_size": 14000000000,
"comment": "Arc queried via HTTP API with default DuckDB settings on M3 Max (14 cores, 36GB RAM). Local Parquet file. Query result caching DISABLED per ClickBench rules. Results show end-to-end performance including HTTP/JSON overhead.",
"result": [
[0.0267, 0.0212, 0.0218],
[0.0360, 0.0315, 0.0326],
[0.0597, 0.0520, 0.0504],
[0.0806, 0.0630, 0.0611],
[0.3020, 0.2184, 0.2156],
[0.3083, 0.2832, 0.3169],
[0.0446, 0.0385, 0.0389],
[0.0372, 0.0365, 0.0307],
[0.2715, 0.2613, 0.2613],
[0.3439, 0.3429, 0.3414],
[0.0895, 0.0874, 0.0921],
[0.1208, 0.1027, 0.1028],
[0.2926, 0.2964, 0.2970],
[0.4582, 0.4687, 0.4708],
[0.3279, 0.3319, 0.3205],
[0.2442, 0.2417, 0.2433],
[0.5558, 0.5720, 0.6076],
[0.5360, 0.5308, 0.5394],
[1.7023, 1.6976, 1.6875],
[0.0611, 0.0630, 0.0583],
[0.8175, 0.6361, 0.6130],
[0.5242, 0.5258, 0.5190],
[1.1331, 1.1131, 1.0969],
[0.3460, 0.3253, 0.3385],
[0.1214, 0.1344, 0.1270],
[0.1805, 0.1799, 0.1785],
[0.0885, 0.0886, 0.0859],
[0.6697, 0.6720, 0.6590],
[7.9059, 7.8946, 8.0242],
[0.0677, 0.0650, 0.0693],
[0.3604, 0.3329, 0.3227],
[0.4262, 0.3777, 0.3783],
[2.0360, 1.0652, 1.0532],
[1.1393, 1.1542, 1.1449],
[1.1806, 1.1860, 1.2423],
[0.3245, 0.3127, 0.3151],
[0.0901, 0.0904, 0.0931],
[0.0854, 0.0917, 0.0964],
[0.0672, 0.0623, 0.0653],
[0.1598, 0.1372, 0.1449],
[0.0556, 0.0499, 0.0407],
[0.0462, 0.0438, 0.0395],
[0.1350, 0.1221, 0.1194]
]
}
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