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joseph-isaacsjoseph-isaacs
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Merge pull request #1 from spiraldb/ji/vortex-duckdb-res
Add benchmarks for querying Vortex files with datafusion
2 parents 5830420 + e27f4d9 commit baa0709

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lines changed

9 files changed

+358
-133
lines changed

‎duckdb-parquet/results/c6a.4xlarge.json‎

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@@ -11,48 +11,48 @@
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"data_size": 14737666736,
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"result": [
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[0.164,0.085,0.082],
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[0.119,0.060,0.061],
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[0.192,0.088,0.086],
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[0.359,0.081,0.079],
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[1.178,0.353,0.363],
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[0.828,0.460,0.457],
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[1.059,0.596,0.578],
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29-
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30-
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31-
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33-
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47-
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49-
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50-
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[0.101,0.051,0.047]
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[0.167,0.024,0.024],
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[1.604,0.159,0.159],
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[3.221,0.119,0.117],
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[3.278,0.395,0.391],
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[0.226,0.066,0.068],
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[0.448,0.045,0.043],
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[4.531,0.574,0.572],
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[4.549,0.837,0.848],
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[2.838,0.156,0.155],
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[3.423,0.176,0.168],
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[3.895,0.402,0.419],
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[6.479,0.763,0.795],
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[3.784,0.453,0.458],
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[2.774,0.459,0.455],
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[6.217,1.193,1.178],
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[6.010,1.002,0.974],
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[8.413,2.102,2.136],
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[2.456,0.241,0.226],
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[28.027,0.645,0.648],
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[30.974,0.576,0.602],
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[40.619,1.296,1.090],
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[115.060,102.642,104.981],
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[5.347,0.257,0.256],
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[3.563,0.189,0.188],
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[27.382,0.819,0.750],
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[27.256,2.365,2.300],
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[1.847,0.646,0.651],
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[0.842,0.080,0.074],
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[0.858,0.053,0.051],
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[0.784,0.051,0.044]
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]
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}

‎duckdb-parquet/results/c6a.metal.json‎

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"data_size": 14737666736,
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"result": [
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[0.646,0.089,0.084]
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}

‎duckdb-vortex/benchmark.sh‎

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#!/bin/bash
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# Install
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sudo apt-get update
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sudo apt-get install ninja-build cmake build-essential make ccache pip clang pkg-config -y
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curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain stable --no-modify-path
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export CC=clang
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export CXX=clang++
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git clone https://github.com/vortex-data/vortex --recursive
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cd vortex/duckdb-vortex
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git checkout 0.34.0
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GEN=ninja NATIVE_ARCH=1 LTO=thin make
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export PATH="`pwd`/build/release/:$PATH"
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cd ../..
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# Load the data
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seq 0 99 | xargs -P100 -I{} bash -c 'wget --continue https://pub-3ba949c0f0354ac18db1f0f14f0a2c52.r2.dev/clickbench/parquet_many/hits_{}.parquet'
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# Convert parquet files to vortex
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seq 0 99 | xargs -P"$(nproc)" -I{} bash -c '
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if [ ! -f "hits_{}.vortex" ]; then
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duckdb -c "COPY 'hits_{}.parquet' TO hits_{}.vortex (FORMAT vortex)"
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fi
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'
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time duckdb hits.db -f create.sql
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# Run the queries
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./run.sh 2>&1 | tee log.txt
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wc -c hits.db
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cat log.txt |
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grep -P '^\d|Killed|Segmentation|^Run Time \(s\): real' |
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sed -r -e 's/^.*(Killed|Segmentation).*$/null\nnull\nnull/; s/^Run Time \(s\): real\s*([0-9.]+).*$/\1/' |
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awk '{ if (i % 3 == 0) { printf "[" }; printf $1; if (i % 3 != 2) { printf "," } else { print "]," }; ++i; }'

‎duckdb-vortex/create.sql‎

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CREATE VIEW hits AS SELECT * FROM read_vortex('hits_*.vortex');
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‎duckdb-vortex/queries.sql‎

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SELECT COUNT(*) FROM hits;
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SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
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SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
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SELECT AVG(UserID) FROM hits;
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SELECT COUNT(DISTINCT UserID) FROM hits;
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SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
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SELECT MIN(EventDate), MAX(EventDate) FROM hits;
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SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
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SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
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SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
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SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
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SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
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SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
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SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
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SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
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SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
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SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
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SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
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SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
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SELECT UserID FROM hits WHERE UserID = 435090932899640449;
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SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
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SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
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SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
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SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
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SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
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SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
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SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
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SELECT CounterID, AVG(STRLEN(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
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SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(STRLEN(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
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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 hits;
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SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
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SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
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SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
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SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
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SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
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SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
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SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
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SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
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SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
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SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
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SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
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SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
43+
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;

‎duckdb-vortex/results/c6a.4xlarge.json‎

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{
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"system": "DuckDB (Vortex, partitioned)",
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"date": "2025-05-20",
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"machine": "c6a.4xlarge, 500gb gp2",
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"cluster_size": 1,
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"comment": "",
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"tags": ["rust", "vortex", "column-oriented", "embedded", "stateless"],
9+
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"load_time": 0,
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"data_size": 16028685104,
12+
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"result": [
14+
[0.203,0.027,0.023],
15+
[0.477,0.038,0.035],
16+
[1.550,0.159,0.156],
17+
[3.140,0.119,0.115],
18+
[3.261,0.386,0.384],
19+
[3.337,0.429,0.438],
20+
[0.251,0.067,0.066],
21+
[0.392,0.045,0.041],
22+
[4.467,0.592,0.588],
23+
[4.564,0.855,0.848],
24+
[2.846,0.156,0.152],
25+
[3.381,0.174,0.172],
26+
[3.819,0.390,0.411],
27+
[6.480,0.786,0.761],
28+
[3.774,0.429,0.433],
29+
[2.803,0.461,0.459],
30+
[6.221,1.151,1.155],
31+
[5.989,1.021,0.965],
32+
[8.417,2.058,2.123],
33+
[2.461,0.242,0.225],
34+
[28.080,0.646,0.634],
35+
[30.654,0.648,0.535],
36+
[41.335,1.147,0.989],
37+
[114.739,102.458,104.874],
38+
[5.360,0.274,0.249],
39+
[3.524,0.197,0.189],
40+
[5.719,0.266,0.258],
41+
[27.922,0.815,0.777],
42+
[21.561,9.044,9.108],
43+
[0.754,0.117,0.119],
44+
[6.939,0.362,0.348],
45+
[12.776,0.495,0.468],
46+
[10.465,2.253,2.251],
47+
[27.317,2.012,2.037],
48+
[27.889,2.306,2.350],
49+
[1.834,0.646,0.638],
50+
[0.260,0.081,0.086],
51+
[0.891,0.065,0.083],
52+
[0.971,0.147,0.155],
53+
[1.112,0.167,0.106],
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}

‎duckdb-vortex/results/c6a.metal.json‎

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{
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"system": "DuckDB (Vortex, partitioned)",
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"date": "2025-05-20",
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"machine": "c6a.metal, 500gb gp2",
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"cluster_size": 1,
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"comment": "",
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"tags": ["rust", "vortex", "column-oriented", "embedded", "stateless"],
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"load_time": 0,
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"data_size": 16028685104,
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"result": [
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}

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