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alexey-milovidovalexey-milovidov
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Merge pull request #856 from ClickHouse/add-trino-entry
Implement Trino entries (single + partitioned Parquet)
2 parents 1a1512b + 7b35576 commit 7799c23

29 files changed

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‎trino-partitioned/README.md‎

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## Trino on a directory of Parquet files (100 partitions)
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Same setup as `trino/` (Hive connector + file metastore + native local
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filesystem driver), but the external table points at a directory of
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100 parquet files split by `RegionID` instead of a single ~14.7 GB
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parquet file. Trino splits each file into 64 MB chunks and processes
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them in parallel.
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The `hits` view in `create.sql` performs the same `EventTime`/`EventDate`
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type conversions as the single-file variant.

‎trino-partitioned/benchmark.sh‎

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#!/bin/bash
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set -e
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# Install Docker (Trino's official image bundles its own JRE).
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sudo apt-get update -y
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sudo apt-get install -y docker.io bc
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# Download the partitioned dataset (100 parquet files).
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mkdir -p data/hits
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cd data/hits
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seq 0 99 | xargs -P16 -I{} wget --continue --quiet \
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"https://datasets.clickhouse.com/hits_compatible/athena_partitioned/hits_{}.parquet"
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cd ../..
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# The Trino container runs as uid 1000 ("trino"), and writes the file
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# metastore into this directory. Make sure that uid can write here even
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# when benchmark.sh runs as root (cloud-init).
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sudo chown -R 1000:1000 data
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# Trino catalog configuration: Hive connector backed by a file metastore
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# stored on the local filesystem, no Hadoop or external metastore required.
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mkdir -p etc/catalog
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cat > etc/catalog/hive.properties <<'EOF'
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connector.name=hive
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hive.metastore=file
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hive.metastore.catalog.dir=local:///metastore
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local.location=/clickbench
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fs.native-local.enabled=true
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hive.non-managed-table-writes-enabled=true
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EOF
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# Start the Trino server. The data dir is exposed at /clickbench so it
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# matches local.location above.
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sudo docker rm -f trino 2>/dev/null || true
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sudo docker run -d --name trino \
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-p 8080:8080 \
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-v "$PWD/etc/catalog/hive.properties:/etc/trino/catalog/hive.properties:ro" \
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-v "$PWD/data:/clickbench" \
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trinodb/trino:latest
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# Wait for Trino to finish starting up.
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until sudo docker logs trino 2>&1 | grep -q "SERVER STARTED"; do
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sleep 3
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done
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sleep 3
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# Create the schema, the external table over the parquet directory and a
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# view that exposes the standard ClickBench column types.
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LOAD_START=$(date +%s)
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sudo docker cp create.sql trino:/tmp/create.sql
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sudo docker exec -i trino trino --file /tmp/create.sql
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LOAD_END=$(date +%s)
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# Run the benchmark queries.
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./run.sh 2>&1 | tee log.txt
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echo "Load time: $((LOAD_END - LOAD_START))"
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echo "Data size: $(du -bcs data/hits/*.parquet | tail -n1 | cut -f1)"

‎trino-partitioned/create.sql‎

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CREATE SCHEMA IF NOT EXISTS hive.clickbench WITH (location = 'local:///');
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CREATE TABLE hive.clickbench.hits_raw (
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WatchID bigint,
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JavaEnable smallint,
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Title varchar,
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GoodEvent smallint,
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EventTime bigint,
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EventDate integer,
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CounterID integer,
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ClientIP integer,
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RegionID integer,
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UserID bigint,
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CounterClass smallint,
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OS smallint,
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UserAgent smallint,
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URL varchar,
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Referer varchar,
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IsRefresh smallint,
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RefererCategoryID smallint,
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RefererRegionID integer,
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URLCategoryID smallint,
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URLRegionID integer,
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ResolutionWidth smallint,
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ResolutionHeight smallint,
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ResolutionDepth smallint,
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FlashMajor smallint,
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FlashMinor smallint,
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FlashMinor2 varchar,
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NetMajor smallint,
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NetMinor smallint,
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UserAgentMajor smallint,
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UserAgentMinor varchar,
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CookieEnable smallint,
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JavascriptEnable smallint,
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IsMobile smallint,
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MobilePhone smallint,
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MobilePhoneModel varchar,
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Params varchar,
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IPNetworkID integer,
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TraficSourceID smallint,
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SearchEngineID smallint,
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SearchPhrase varchar,
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AdvEngineID smallint,
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IsArtifical smallint,
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WindowClientWidth smallint,
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WindowClientHeight smallint,
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ClientTimeZone smallint,
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ClientEventTime bigint,
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SilverlightVersion1 smallint,
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SilverlightVersion2 smallint,
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SilverlightVersion3 integer,
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SilverlightVersion4 smallint,
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PageCharset varchar,
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CodeVersion integer,
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IsLink smallint,
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IsDownload smallint,
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IsNotBounce smallint,
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FUniqID bigint,
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OriginalURL varchar,
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HID integer,
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IsOldCounter smallint,
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IsEvent smallint,
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IsParameter smallint,
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DontCountHits smallint,
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WithHash smallint,
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HitColor varchar,
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LocalEventTime bigint,
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Age smallint,
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Sex smallint,
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Income smallint,
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Interests smallint,
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Robotness smallint,
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RemoteIP integer,
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WindowName integer,
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OpenerName integer,
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HistoryLength smallint,
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BrowserLanguage varchar,
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BrowserCountry varchar,
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SocialNetwork varchar,
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SocialAction varchar,
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HTTPError smallint,
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SendTiming integer,
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DNSTiming integer,
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ConnectTiming integer,
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ResponseStartTiming integer,
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ResponseEndTiming integer,
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FetchTiming integer,
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SocialSourceNetworkID smallint,
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SocialSourcePage varchar,
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ParamPrice bigint,
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ParamOrderID varchar,
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ParamCurrency varchar,
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ParamCurrencyID smallint,
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OpenstatServiceName varchar,
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OpenstatCampaignID varchar,
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OpenstatAdID varchar,
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OpenstatSourceID varchar,
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UTMSource varchar,
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UTMMedium varchar,
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UTMCampaign varchar,
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UTMContent varchar,
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UTMTerm varchar,
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FromTag varchar,
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HasGCLID smallint,
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RefererHash bigint,
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URLHash bigint,
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CLID integer
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)
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WITH (
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external_location = 'local:///hits',
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format = 'PARQUET'
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);
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-- The Parquet files store EventTime/ClientEventTime/LocalEventTime as Unix epoch seconds
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-- and EventDate as a UINT16 day-count from 1970-01-01. The view exposes the canonical
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-- ClickBench column types so queries.sql matches the standard text.
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CREATE VIEW hive.clickbench.hits AS
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SELECT
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WatchID, JavaEnable, Title, GoodEvent,
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from_unixtime(EventTime) AS EventTime,
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date_add('day', EventDate, DATE '1970-01-01') AS EventDate,
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CounterID, ClientIP, RegionID, UserID, CounterClass, OS, UserAgent,
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URL, Referer, IsRefresh, RefererCategoryID, RefererRegionID,
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URLCategoryID, URLRegionID, ResolutionWidth, ResolutionHeight,
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ResolutionDepth, FlashMajor, FlashMinor, FlashMinor2, NetMajor, NetMinor,
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UserAgentMajor, UserAgentMinor, CookieEnable, JavascriptEnable,
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IsMobile, MobilePhone, MobilePhoneModel, Params, IPNetworkID,
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TraficSourceID, SearchEngineID, SearchPhrase, AdvEngineID, IsArtifical,
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WindowClientWidth, WindowClientHeight, ClientTimeZone,
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from_unixtime(ClientEventTime) AS ClientEventTime,
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SilverlightVersion1, SilverlightVersion2, SilverlightVersion3,
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SilverlightVersion4, PageCharset, CodeVersion, IsLink, IsDownload,
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IsNotBounce, FUniqID, OriginalURL, HID, IsOldCounter, IsEvent,
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IsParameter, DontCountHits, WithHash, HitColor,
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from_unixtime(LocalEventTime) AS LocalEventTime,
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Age, Sex, Income, Interests, Robotness, RemoteIP, WindowName,
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OpenerName, HistoryLength, BrowserLanguage, BrowserCountry,
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SocialNetwork, SocialAction, HTTPError, SendTiming, DNSTiming,
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ConnectTiming, ResponseStartTiming, ResponseEndTiming, FetchTiming,
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SocialSourceNetworkID, SocialSourcePage, ParamPrice, ParamOrderID,
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ParamCurrency, ParamCurrencyID, OpenstatServiceName, OpenstatCampaignID,
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OpenstatAdID, OpenstatSourceID, UTMSource, UTMMedium, UTMCampaign,
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UTMContent, UTMTerm, FromTag, HasGCLID, RefererHash, URLHash, CLID
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FROM hive.clickbench.hits_raw;

‎trino-partitioned/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, extract(minute FROM EventTime), 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(length(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\.)?([^/]+)/.*$', '$1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '$1') 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 >= DATE '2013-07-01' AND EventDate <= DATE '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 >= DATE '2013-07-01' AND EventDate <= DATE '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 >= DATE '2013-07-01' AND EventDate <= DATE '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC OFFSET 1000 LIMIT 10;
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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 >= DATE '2013-07-01' AND EventDate <= DATE '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END, URL ORDER BY PageViews DESC OFFSET 1000 LIMIT 10;
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SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= DATE '2013-07-01' AND EventDate <= DATE '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC OFFSET 100 LIMIT 10;
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SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= DATE '2013-07-01' AND EventDate <= DATE '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC OFFSET 10000 LIMIT 10;
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SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= DATE '2013-07-14' AND EventDate <= DATE '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) OFFSET 1000 LIMIT 10;

‎trino-partitioned/results/c6a.2xlarge.json‎

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{
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"system": "Trino (Parquet, partitioned)",
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"date": "2026-05-07",
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"machine": "c6a.2xlarge",
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"cluster_size": 1,
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"proprietary": "no",
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"hardware": "cpu",
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"tuned": "no",
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"tags": ["Java","column-oriented","stateless","lukewarm-cold-run"],
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"load_time": 2,
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"data_size": 14737666736,
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"result": [
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[4.446, 1.464, 1.425],
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[4.406, 1.544, 1.522],
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[4.2, 1.648, 1.652],
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[3.698, 1.451, 1.477],
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[4.612, 2.929, 2.814],
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[6.855, 4.12, 3.897],
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[3.627, 1.665, 1.634],
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[3.057, 1.355, 1.353],
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[5.997, 4.397, 4.035],
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[10.47, 7.862, 7.929],
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[3.842, 1.62, 1.61],
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[3.604, 1.688, 1.896],
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[5.725, 4.038, 3.934],
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[8.06, 6.622, 6.682],
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[5.494, 4.09, 4.051],
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[4.662, 3.296, 3.053],
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[10.1, 8.342, 8.573],
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[9.157, 7.851, 7.709],
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[16.074, 13.759, 13.735],
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[3.078, 1.301, 1.256],
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[12.221, 4.713, 4.735],
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[13.919, 4.494, 4.603],
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[24.77, 12.306, 12.567],
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[58.169, 51.26, 55.542],
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[5.271, 2.151, 2.138],
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[3.384, 1.887, 1.895],
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[5.259, 2.211, 2.213],
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[12.255, 11.28, 11.352],
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[26.515, 25.195, 25.017],
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[12.935, 9.454, 9.356],
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[5.708, 3.545, 3.566],
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[9.752, 4.038, 4.121],
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[null, null, null],
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[null, null, null],
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[null, null, null],
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[6.792, 5.02, 5.129],
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[2.94, 1.357, 1.359],
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[2.749, 1.239, 1.325],
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[2.894, 1.252, 1.249],
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[3.123, 1.564, 1.629],
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[2.699, 1.323, 1.199],
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[2.687, 1.298, 1.321],
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[2.715, 1.332, 1.231]
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]
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}
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‎trino-partitioned/results/c6a.4xlarge.json‎

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{
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"system": "Trino (Parquet, partitioned)",
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"date": "2026-05-07",
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"machine": "c6a.4xlarge",
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"cluster_size": 1,
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"proprietary": "no",
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"hardware": "cpu",
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"tuned": "no",
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"tags": ["Java","column-oriented","stateless","lukewarm-cold-run"],
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"load_time": 2,
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"data_size": 14737666736,
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"result": [
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[3.432, 1.268, 1.223],
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[2.888, 1.268, 1.208],
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[3.174, 1.533, 1.442],
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[2.825, 1.225, 1.219],
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[3.47, 1.996, 2.009],
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[4.538, 2.828, 2.717],
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[2.706, 1.305, 1.317],
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[2.482, 1.164, 1.209],
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[4.243, 2.646, 2.618],
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[6.861, 4.848, 4.739],
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[2.96, 1.429, 1.367],
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[2.937, 1.377, 1.404],
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[4.536, 2.774, 2.964],
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[6.555, 4.845, 4.697],
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[3.99, 2.867, 2.878],
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[3.654, 2.313, 2.333],
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[6.619, 5.29, 5.403],
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[6.357, 4.995, 5.035],
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[11.017, 9.063, 8.873],
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[2.509, 1.206, 1.193],
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[12.147, 4.093, 3.841],
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[14.02, 3.645, 3.633],
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[25.211, 6.322, 6.216],
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[58.431, 54.934, 54.718],
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[4.851, 1.693, 1.69],
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[2.875, 1.501, 1.47],
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[4.932, 1.66, 1.708],
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[11.89, 3.593, 3.589],
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[16.09, 14.373, 13.52],
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[9.143, 6.718, 6.606],
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[5.546, 2.452, 2.503],
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[9.218, 2.983, 3.014],
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[14.292, 13.147, 13.364],
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[13.869, 12.526, 12.356],
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[14.415, 12.625, 12.751],
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[4.565, 3.119, 3.26],
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[2.86, 1.299, 1.309],
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[2.633, 1.172, 1.188],
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[2.649, 1.18, 1.166],
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[2.915, 1.451, 1.462],
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[2.524, 1.118, 1.129],
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[2.575, 1.155, 1.136],
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[2.479, 1.163, 1.144]
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]
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}
58+

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