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Merge pull request ClickHouse#374 from jiahuizz/add_hologres
Add Hologres
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‎README.md‎

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@@ -299,6 +299,7 @@ We also introduced the [Hardware Benchmark](https://benchmark.clickhouse.com/har
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- [x] Polars
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- [x] OctoSQL
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- [x] VictoriaLogs
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- [x] Hologres
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By default, all tests are run on c6a.4xlarge VM in AWS with 500 GB gp2.
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‎hologres/README.md‎

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Hologres is an all-in-one real-time data warehouse engine that is compatible with PostgreSQL. It supports online analytical processing (OLAP) and ad hoc analysis of PB-scale data. Hologres supports online data serving at high concurrency and low latency.
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To evaluate the performance of Hologres, follow these guidelines to set up and execute the benchmark tests.
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1. **Instance Purchase**:
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Refer to the [Alibaba Cloud Hologres TPC-H Testing Documentation](https://www.alibabacloud.com/help/en/hologres/user-guide/test-plan?spm=a2c63.p38356.help-menu-113622.d_2_14_0_0.54e14f70oTAEXO) for details on purchasing Hologres and ECS instances. Both instances must be purchased within the same region. For example, you can choose instances from Zone J in the Hangzhou region.
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2. **Benchmark Execution**:
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Once the instances are set up, prepare your ECS instance by executing the `benchmark.sh` script. The script requires the following parameters:
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- `ak`: Access Key
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- `sk`: Secret Key
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- `host_name`: Hostname of the Hologres instance
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- `port`: Port of the Hologres instance
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You can create your Access Key (ak, sk) by following the instructions in the [RAM User Guide](https://www.alibabacloud.com/help/en/ram/user-guide/create-an-accesskey-pair?spm=a3c0i.29367734.6737026690.14.7a797d3fJmRhXM).
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3. **Sample Execution**:
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```bash
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./benchmark.sh ak sk host_name 80
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```

‎hologres/benchmark.sh‎

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#!/bin/bash
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# Set input parameters
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PG_USER="$1"
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PG_PASSWORD="$2"
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HOST_NAME=$3
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PORT=$4
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DATABASE="hits"
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# Install dependencies
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sudo yum update -y
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sudo yum install postgresql-server -y
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sudo yum install postgresql-contrib -y
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# Set the file name and download link
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FILENAME="hits.tsv"
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# Check if the file exists
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if [ ! -f "$FILENAME" ]; then
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echo "The file $FILENAME does not exist. Starting to download..."
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wget --no-verbose --continue 'https://datasets.clickhouse.com/hits_compatible/hits.tsv.gz'
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gzip -d hits.tsv.gz
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chmod 777 ~ hits.tsv
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if [ $? -eq 0 ]; then
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echo "File download completed!"
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else
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echo "The download failed. Please check the URL or the network connection. "
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exit 1
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fi
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else
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echo "The file $FILENAME already exists. Skipping the download."
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fi
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# create database and create table
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PGUSER=$PG_USER PGPASSWORD=$PG_PASSWORD psql -h $HOST_NAME -p $PORT -d postgres -t -c "DROP DATABASE IF EXISTS $DATABASE"
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sleep 15 # sleep for 15 seconds
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PGUSER=$PG_USER PGPASSWORD=$PG_PASSWORD psql -h $HOST_NAME -p $PORT -d postgres -t -c "CREATE DATABASE $DATABASE"
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sleep 15 # sleep for 15 seconds
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PGUSER=$PG_USER PGPASSWORD=$PG_PASSWORD psql -h $HOST_NAME -p $PORT -d $DATABASE -t < create.sql
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sleep 15 # sleep for 15 seconds
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# split data
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echo "Starting to split the file..."
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split -l 10000000 hits.tsv hits_part_
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# load data
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echo "Starting to load data..."
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time (
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for file in hits_part_*; do
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PGUSER=$PG_USER PGPASSWORD=$PG_PASSWORD psql -h $HOST_NAME -p $PORT -d $DATABASE -t -c '\timing' -c "\\copy hits FROM '$file'"
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done )
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# run clickbench test with queries
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echo "Starting to run queries..."
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./run.sh $PG_USER $PG_PASSWORD $HOST_NAME $PORT $DATABASE 2>&1 | tee log_queries_$DATABASE.txt
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cat log_queries_$DATABASE.txt | grep -oP 'Time: \d+\.\d+ ms' | sed -r -e 's/Time: ([0-9]+\.[0-9]+) ms/\1/' |
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awk '{ if (i % 3 == 0) { printf "[" }; printf $1 / 1000; if (i % 3 != 2) { printf "," } else { print "]," }; ++i; }' | tee result_queries_$DATABASE.txt

‎hologres/create.sql‎

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DROP table if EXISTS hits;
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CREATE TABLE hits
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(
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WatchID BIGINT NOT NULL,
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JavaEnable INT NOT NULL,
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Title TEXT NOT NULL,
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GoodEvent INT NOT NULL,
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EventTime timestamptz NOT NULL,
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EventDate timestamptz NOT NULL,
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CounterID INT NOT NULL,
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ClientIP INT NOT NULL,
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RegionID INT NOT NULL,
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UserID BIGINT NOT NULL,
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CounterClass INT NOT NULL,
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OS INT NOT NULL,
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UserAgent INT NOT NULL,
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URL TEXT NOT NULL,
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Referer TEXT NOT NULL,
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IsRefresh INT NOT NULL,
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RefererCategoryID INT NOT NULL,
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RefererRegionID INT NOT NULL,
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URLCategoryID INT NOT NULL,
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URLRegionID INT NOT NULL,
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ResolutionWidth INT NOT NULL,
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ResolutionHeight INT NOT NULL,
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ResolutionDepth INT NOT NULL,
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FlashMajor INT NOT NULL,
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FlashMinor INT NOT NULL,
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FlashMinor2 TEXT NOT NULL,
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NetMajor INT NOT NULL,
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NetMinor INT NOT NULL,
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UserAgentMajor INT NOT NULL,
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UserAgentMinor TEXT NOT NULL,
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CookieEnable INT NOT NULL,
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JavascriptEnable INT NOT NULL,
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IsMobile INT NOT NULL,
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MobilePhone INT NOT NULL,
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MobilePhoneModel TEXT NOT NULL,
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Params TEXT NOT NULL,
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IPNetworkID INT NOT NULL,
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TraficSourceID INT NOT NULL,
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SearchEngineID INT NOT NULL,
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SearchPhrase TEXT NOT NULL,
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AdvEngineID INT NOT NULL,
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IsArtifical INT NOT NULL,
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WindowClientWidth INT NOT NULL,
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WindowClientHeight INT NOT NULL,
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ClientTimeZone INT NOT NULL,
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ClientEventTime timestamptz NOT NULL,
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SilverlightVersion1 INT NOT NULL,
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SilverlightVersion2 INT NOT NULL,
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SilverlightVersion3 INT NOT NULL,
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SilverlightVersion4 INT NOT NULL,
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PageCharset TEXT NOT NULL,
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CodeVersion INT NOT NULL,
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IsLink INT NOT NULL,
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IsDownload INT NOT NULL,
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IsNotBounce INT NOT NULL,
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FUniqID BIGINT NOT NULL,
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OriginalURL TEXT NOT NULL,
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HID INT NOT NULL,
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IsOldCounter INT NOT NULL,
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IsEvent INT NOT NULL,
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IsParameter INT NOT NULL,
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DontCountHits INT NOT NULL,
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WithHash INT NOT NULL,
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HitColor TEXT NOT NULL,
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LocalEventTime timestamptz NOT NULL,
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Age INT NOT NULL,
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Sex INT NOT NULL,
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Income INT NOT NULL,
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Interests INT NOT NULL,
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Robotness INT NOT NULL,
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RemoteIP INT NOT NULL,
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WindowName INT NOT NULL,
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OpenerName INT NOT NULL,
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HistoryLength INT NOT NULL,
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BrowserLanguage TEXT NOT NULL,
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BrowserCountry TEXT NOT NULL,
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SocialNetwork TEXT NOT NULL,
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SocialAction TEXT NOT NULL,
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HTTPError INT NOT NULL,
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SendTiming INT NOT NULL,
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DNSTiming INT NOT NULL,
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ConnectTiming INT NOT NULL,
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ResponseStartTiming INT NOT NULL,
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ResponseEndTiming INT NOT NULL,
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FetchTiming INT NOT NULL,
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SocialSourceNetworkID INT NOT NULL,
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SocialSourcePage TEXT NOT NULL,
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ParamPrice BIGINT NOT NULL,
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ParamOrderID TEXT NOT NULL,
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ParamCurrency TEXT NOT NULL,
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ParamCurrencyID INT NOT NULL,
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OpenstatServiceName TEXT NOT NULL,
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OpenstatCampaignID TEXT NOT NULL,
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OpenstatAdID TEXT NOT NULL,
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OpenstatSourceID TEXT NOT NULL,
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UTMSource TEXT NOT NULL,
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UTMMedium TEXT NOT NULL,
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UTMCampaign TEXT NOT NULL,
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UTMContent TEXT NOT NULL,
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UTMTerm TEXT NOT NULL,
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FromTag TEXT NOT NULL,
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HasGCLID INT NOT NULL,
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RefererHash BIGINT NOT NULL,
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URLHash BIGINT NOT NULL,
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CLID INT NOT NULL,
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PRIMARY KEY (
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CounterID,
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EventDate,
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UserID,
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EventTime,
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WatchID
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)
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) WITH (
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distribution_key='UserID',
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segment_key='EventTime',
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clustering_key='CounterID,EventDate,UserID,EventTime,WatchID',
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bitmap_columns='advengineid, counterid, isrefresh, isdownload, islink,refererhash,dontcounthits,urlhash'
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);

‎hologres/freecache.sql‎

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SELECT hg_admin_command('freecache');

‎hologres/prepare.sql‎

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VACUUM hits;
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ANALYZE hits;

‎hologres/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(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 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;
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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;

‎hologres/results/128core.json‎

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{
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"system": "Hologres",
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"date": "2025-05-21",
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"machine": "16 CU",
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"cluster_size": 8,
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"tags": [
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"managed",
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"PostgreSQL compatible",
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"column-oriented"
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],
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"load_time": 321,
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"data_size": 19923251230,
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"result": [
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[0.200416,0.065979,0.018724],
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[0.091093,0.021522,0.018513],
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[0.113267,0.021928,0.020564],
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[0.093743,0.02033,0.025053],
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[0.13627,0.068549,0.066047],
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[0.286671,0.131856,0.126948],
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[0.090226,0.018593,0.018884],
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[0.096455,0.020777,0.019963],
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[0.166384,0.144269,0.08159],
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[0.220452,0.103766,0.0953],
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[0.143972,0.03618,0.031931],
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[0.143136,0.036803,0.038698],
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[0.258057,0.11785,0.109818],
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[0.330193,0.178884,0.157638],
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[0.408758,0.122565,0.151418],
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[0.168366,0.055936,0.057439],
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[0.429207,0.331269,0.334562],
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[0.278222,0.243465,0.228009],
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[0.979158,0.748187,0.788534],
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[0.077484,0.015684,0.022219],
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[0.305593,0.026173,0.020405],
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[0.364327,0.025624,0.024306],
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[0.579937,0.026864,0.027952],
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[0.876137,0.048044,0.049257],
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[0.273008,0.116704,0.04663],
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[0.184577,0.117629,0.122771],
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[0.198478,0.049778,0.069377],
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[0.410839,0.030764,0.028845],
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[1.926,0.875615,0.802255],
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[0.318147,0.235507,0.227222],
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[0.247218,0.066038,0.070967],
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[0.372834,0.108745,0.111291],
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[0.74956,0.58827,0.634527],
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[1.15019,0.86232,0.851895],
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[1.2923,0.948734,0.950828],
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[1.64079,1.52869,1.58315],
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[0.1828,0.039328,0.030409],
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[0.105002,0.028956,0.035281],
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[0.085786,0.033011,0.027931],
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[0.114458,0.096552,0.044727],
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[0.094894,0.029659,0.028727],
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[0.101223,0.030141,0.096246],
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[0.082924,0.025755,0.026889]
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]
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}

‎hologres/results/32core.json‎

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{
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"system": "Hologres",
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"date": "2025-05-21",
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"machine": "16 CU",
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"cluster_size": 2,
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"tags": [
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"managed",
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"PostgreSQL compatible",
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"column-oriented"
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],
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"load_time": 388,
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"data_size": 18778181002,
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"result": [
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[0.282573,0.028957,0.019191],
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[0.146115,0.021455,0.019169],
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[0.204898,0.020812,0.019544],
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[0.172966,0.018729,0.01821],
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[0.289541,0.209281,0.206787],
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[0.730968,0.460731,0.474964],
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[0.134764,0.018417,0.017179],
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[0.150145,0.02559,0.020199],
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[0.355695,0.232613,0.262594],
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[0.419869,0.348998,0.278793],
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[0.272162,0.051735,0.049574],
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[0.323122,0.059689,0.058203],
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[0.854693,0.512541,0.547821],
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[0.884888,0.590925,0.551612],
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[0.788478,0.513826,0.523426],
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[0.400769,0.229311,0.277545],
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[1.35409,1.2621,1.30281],
31+
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58+
}

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