1.1 bilyan oo safar taksi ah: 108-core ClickHouse cluster

Turjumaada maqaalka waxaa si gaar ah loogu diyaariyey ardayda koorsada Injineerka Xogta.

1.1 bilyan oo safar taksi ah: 108-core ClickHouse cluster

GujiHouse waa xog-ururin tiirar furan. Waa jawi aad u wanaagsan halkaas oo boqolaal falanqeeyayaasha ahi ay si dhakhso ah u waydiin karaan xog faahfaahsan, xitaa iyadoo tobanaan balaayiin diiwaano cusub la galiyo maalintii. Kharashyada kaabayaasha dhaqaale ee lagu taageerayo nidaamkan ayaa noqon kara ilaa $100 sanadkii, iyo kala badh taas oo ku xidhan isticmaalka. Hal mar, rakibidda ClickHouse ee Yandex Metrics waxay ka koobnayd 10 tiriliyan diiwaan. Marka lagu daro Yandex, ClickHouse waxa kale oo ay guul ka heshay Bloomberg iyo Cloudflare.

Laba sano ka hor ayaan qaatay falanqaynta isbarbardhigga database-yada oo isticmaalaya hal mishiin, oo waxay noqotay ugu dhaqsiyaha badan software database free Aan waligay arkay. Tan iyo markaas, horumariyayaashu waxay sii wadeen inay ku daraan astaamo, ay ku jiraan taageerada Kafka, HDFS iyo isku-buufinta ZStandard. Sannadkii hore waxay ku dareen taageerada hababka isku-buufinta, iyo delta-ka-delta Codayntu waxay noqotay suurtogal. Marka la cadaadiyo xogta taxanaha wakhtiga, qiyamka cabbirada si fiican ayaa loo cadaadin karaa iyadoo la isticmaalayo codaynta delta, laakiin xisaabiyeyaasha waxa u fiicnaan lahayd in la isticmaalo codaynta delta-by-delta. Cadaadiska wanaagsan ayaa noqday furaha waxqabadka ClickHouse.

ClickHouse wuxuu ka kooban yahay 170 kun oo xariiq oo C ++ ah, marka laga reebo maktabadaha qolo saddexaad, waana mid ka mid ah koodhka kaydka xogta ee la qaybiyo ugu yar. Marka la barbardhigo, SQLite ma taageerto qaybinta waxayna ka kooban tahay 235 kun oo xariiq oo C code ah. Qoraalkan, 207 injineero ayaa wax ku darsaday ClickHouse, iyo xoojinta ballanqaadku waa sii kordhayay dhawaan.

Bishii Maarso 2017, ClickHouse wuxuu bilaabay inuu qabto beddel log sida hab fudud oo lagula socdo horumarka. Waxay sidoo kale jebiyeen faylka dukumeentiyada hal-abuurka ah waxayna u kala qaybiyeen kala sareynta faylka Markdown ku salaysan. Arrimaha iyo astaamaha waxaa lagu raad raacaa GitHub, iyo guud ahaan software-ku wuxuu noqday mid aad loo heli karo dhowrkii sano ee la soo dhaafay.

Maqaalkan, waxaan ku eegi doonaa waxqabadka kooxda ClickHouse ee AWS EC2 iyada oo la adeegsanayo 36-core processors iyo kaydinta NVMe.

CUSBOONAYSIINTA: Toddobaad ka dib markii aan markii hore daabacay qoraalkan, waxaan dib u celiyay imtixaankii qaabayn la wanaajiyay oo waxaan ku gaadhay natiijooyin aad u wanaagsan. Boostada waa la cusboonaysiiyay si ay u muujiso isbeddeladan.

Bilaabida Kooxda AWS EC2

Waxaan u isticmaali doonaa saddex c5d.9xlarge EC2 xaaladaha boostadan. Mid kasta oo iyaga ka mid ah waxa uu ka kooban yahay 36 Virtual CPUs, 72 GB RAM, 900 GB of NVMe SSD kaydinta iyo taageertaa 10 Gigabit network. Waxay ku kaceen $1,962/saacaddiiba gobolka eu-west-1 marka ay ku socdaan baahida. Waxaan u isticmaali doonaa Ubuntu Server 16.04 LTS sidii nidaamka hawlgalka.

Dab-damiska waxa loo habeeyey si mishiin kastaa uu midba midka kale ula xidhiidho iyada oo aan xannibayn, oo kaliya ciwaankayga IPV4 ayaa liiska caddeeyey ee SSH ee kutlada.

NVMe ku wado xaalada diyaargarowga hawleed

Si ClickHouse uu u shaqeeyo, waxaan u abuuri doonaa nidaam faylal ah qaabka EXT4 ee wadista NVMe ee mid kasta oo ka mid ah server-yada.

$ sudo mkfs -t ext4 /dev/nvme1n1
$ sudo mkdir /ch
$ sudo mount /dev/nvme1n1 /ch

Marka wax walba la habeeyo, waxaad arki kartaa barta buurta iyo 783 GB ee booska laga heli karo nidaam kasta.

$ lsblk

NAME        MAJ:MIN RM   SIZE RO TYPE MOUNTPOINT
loop0         7:0    0  87.9M  1 loop /snap/core/5742
loop1         7:1    0  16.5M  1 loop /snap/amazon-ssm-agent/784
nvme0n1     259:1    0     8G  0 disk
└─nvme0n1p1 259:2    0     8G  0 part /
nvme1n1     259:0    0 838.2G  0 disk /ch

$ df -h

Filesystem      Size  Used Avail Use% Mounted on
udev             35G     0   35G   0% /dev
tmpfs           6.9G  8.8M  6.9G   1% /run
/dev/nvme0n1p1  7.7G  967M  6.8G  13% /
tmpfs            35G     0   35G   0% /dev/shm
tmpfs           5.0M     0  5.0M   0% /run/lock
tmpfs            35G     0   35G   0% /sys/fs/cgroup
/dev/loop0       88M   88M     0 100% /snap/core/5742
/dev/loop1       17M   17M     0 100% /snap/amazon-ssm-agent/784
tmpfs           6.9G     0  6.9G   0% /run/user/1000
/dev/nvme1n1    825G   73M  783G   1% /ch

Xogta aan ku isticmaali doono tijaabadan waa qashin-qubka xog aan ka keenay 1.1 bilyan oo taksiyo lagu qaaday magaalada New York muddo lix sano ah. On blog-ka Hal Bilyan oo Taksi ah oo ku socda Redshift faahfaahinta sida aan u ururiyay xogtan Waxay ku kaydsan yihiin AWS S3, markaa waxaan ku habeyn doonaa AWS CLI furayaashayda sirta ah.

$ sudo apt update
$ sudo apt install awscli
$ aws configure

Waxaan dejin doonaa xadka codsiga macmiilka oo dhan 100 si ay faylalka u soo dajiyaan si ka dhakhso badan goobaha caadiga ah.

$ aws configure set 
    default.s3.max_concurrent_requests 
    100

Waxaan ka soo dejisan doonaa kaydka xogta raacitaanka tagaasida AWS S3 oo ku kaydin doona wadista NVMe seerfarka ugu horreeya. Xog-ururintan waa ~104GB oo ah qaabka CSV-ga ee GZIP-ku- cadaadisay.

$ sudo mkdir -p /ch/csv
$ sudo chown -R ubuntu /ch/csv
$ aws s3 sync s3://<bucket>/csv /ch/csv

Ku rakibida ClickHouse

Waxaan ku rakibi doonaa qaybinta OpenJDK ee Java 8 maadaama looga baahan yahay inuu socodsiiyo Apache ZooKeeper, kaas oo looga baahan yahay rakibaadda qaybinta ClickHouse ee dhammaan saddexda mishiin.

$ sudo apt update
$ sudo apt install 
    openjdk-8-jre 
    openjdk-8-jdk-headless

Kadibna waxaan dejiyaa doorsoomayaasha deegaanka JAVA_HOME.

$ sudo vi /etc/profile
 
export JAVA_HOME=/usr
 
$ source /etc/profile

Waxaan markaa isticmaali doonaa nidaamka maaraynta xirmada Ubuntu si aan ugu rakibo ClickHouse 18.16.1, jaleecada iyo ZooKeeper dhammaan saddexda mishiin.

$ sudo apt-key adv 
    --keyserver hkp://keyserver.ubuntu.com:80 
    --recv E0C56BD4
$ echo "deb http://repo.yandex.ru/clickhouse/deb/stable/ main/" | 
    sudo tee /etc/apt/sources.list.d/clickhouse.list
$ sudo apt-get update

$ sudo apt install 
    clickhouse-client 
    clickhouse-server 
    glances 
    zookeeperd

Waxaan u abuuri doonaa tusaha ClickHouse oo sidoo kale waxaan samayn doonaa habayn habayn ah oo ku saabsan dhammaan saddexda adeeg.

$ sudo mkdir /ch/clickhouse
$ sudo chown -R clickhouse /ch/clickhouse

$ sudo mkdir -p /etc/clickhouse-server/conf.d
$ sudo vi /etc/clickhouse-server/conf.d/taxis.conf

Kuwaani waa habaynta habaynta ee aan isticmaali doono.

<?xml version="1.0"?>
<yandex>
    <listen_host>0.0.0.0</listen_host>
    <path>/ch/clickhouse/</path>

 <remote_servers>
        <perftest_3shards>
            <shard>
                <replica>
                    <host>172.30.2.192</host>
                    <port>9000</port>
                 </replica>
            </shard>
            <shard>
                 <replica>
                    <host>172.30.2.162</host>
                    <port>9000</port>
                 </replica>
            </shard>
            <shard>
                 <replica>
                    <host>172.30.2.36</host>
                    <port>9000</port>
                 </replica>
            </shard>
        </perftest_3shards>
    </remote_servers>

  <zookeeper-servers>
        <node>
            <host>172.30.2.192</host>
            <port>2181</port>
        </node>
        <node>
            <host>172.30.2.162</host>
            <port>2181</port>
        </node>
        <node>
            <host>172.30.2.36</host>
            <port>2181</port>
        </node>
    </zookeeper-servers>

 <macros>
        <shard>03</shard>
        <replica>01</replica>
    </macros>
</yandex>

Waxaan markaa ku maamuli doonaa ZooKeeper iyo server-ka ClickHouse dhammaan saddexda mashiin.

$ sudo /etc/init.d/zookeeper start
$ sudo service clickhouse-server start

U soo dejinta xogta ClickHouse

Serverka ugu horeeya waxaan samayn doonaa miiska safarka (trips), kaas oo kaydin doona xogta safarka tagaasida iyadoo la isticmaalayo mishiinka Log.

$ clickhouse-client --host=0.0.0.0
 
CREATE TABLE trips (
    trip_id                 UInt32,
    vendor_id               String,

    pickup_datetime         DateTime,
    dropoff_datetime        Nullable(DateTime),

    store_and_fwd_flag      Nullable(FixedString(1)),
    rate_code_id            Nullable(UInt8),
    pickup_longitude        Nullable(Float64),
    pickup_latitude         Nullable(Float64),
    dropoff_longitude       Nullable(Float64),
    dropoff_latitude        Nullable(Float64),
    passenger_count         Nullable(UInt8),
    trip_distance           Nullable(Float64),
    fare_amount             Nullable(Float32),
    extra                   Nullable(Float32),
    mta_tax                 Nullable(Float32),
    tip_amount              Nullable(Float32),
    tolls_amount            Nullable(Float32),
    ehail_fee               Nullable(Float32),
    improvement_surcharge   Nullable(Float32),
    total_amount            Nullable(Float32),
    payment_type            Nullable(String),
    trip_type               Nullable(UInt8),
    pickup                  Nullable(String),
    dropoff                 Nullable(String),

    cab_type                Nullable(String),

    precipitation           Nullable(Int8),
    snow_depth              Nullable(Int8),
    snowfall                Nullable(Int8),
    max_temperature         Nullable(Int8),
    min_temperature         Nullable(Int8),
    average_wind_speed      Nullable(Int8),

    pickup_nyct2010_gid     Nullable(Int8),
    pickup_ctlabel          Nullable(String),
    pickup_borocode         Nullable(Int8),
    pickup_boroname         Nullable(String),
    pickup_ct2010           Nullable(String),
    pickup_boroct2010       Nullable(String),
    pickup_cdeligibil       Nullable(FixedString(1)),
    pickup_ntacode          Nullable(String),
    pickup_ntaname          Nullable(String),
    pickup_puma             Nullable(String),

    dropoff_nyct2010_gid    Nullable(UInt8),
    dropoff_ctlabel         Nullable(String),
    dropoff_borocode        Nullable(UInt8),
    dropoff_boroname        Nullable(String),
    dropoff_ct2010          Nullable(String),
    dropoff_boroct2010      Nullable(String),
    dropoff_cdeligibil      Nullable(String),
    dropoff_ntacode         Nullable(String),
    dropoff_ntaname         Nullable(String),
    dropoff_puma            Nullable(String)
) ENGINE = Log;

Ka dib waxaan soo saaraa oo ku shubaa mid kasta oo ka mid ah faylasha CSV miiska safarka (trips). Kuwa soo socda ayaa lagu dhameeyay 55 daqiiqo iyo 10 ilbiriqsi. Hawlgalkan ka dib, cabbirka hagaha xogta wuxuu ahaa 134 GB.

$ time (for FILENAME in /ch/csv/trips_x*.csv.gz; do
            echo $FILENAME
            gunzip -c $FILENAME | 
                clickhouse-client 
                    --host=0.0.0.0 
                    --query="INSERT INTO trips FORMAT CSV"
        done)

Xawaaraha soo dajintu waxa uu ahaa 155 MB ee macluumaadka CSV ee aan la cabin ilbiriqsikii. Waxaan ka shakisanahay in tani ay sabab u tahay cidhiidhi ku yimid depression GZIP. Waxaa laga yaabaa inay aad u dhakhso badan lahayd in si isku mid ah loo furo dhammaan faylasha gzipped iyadoo la adeegsanayo xargs ka dibna la soo geliyo xogta aan zip-ka bixin. Hoos waxaa ah sharraxaadda waxa la soo sheegay intii lagu jiray habka soo dejinta CSV.

$ sudo glances

ip-172-30-2-200 (Ubuntu 16.04 64bit / Linux 4.4.0-1072-aws)                                                                                                 Uptime: 0:11:42
CPU       8.2%  nice:     0.0%                           LOAD    36-core                           MEM      9.8%  active:    5.20G                           SWAP      0.0%
user:     6.0%  irq:      0.0%                           1 min:    2.24                            total:  68.7G  inactive:  61.0G                           total:       0
system:   0.9%  iowait:   1.3%                           5 min:    1.83                            used:   6.71G  buffers:   66.4M                           used:        0
idle:    91.8%  steal:    0.0%                           15 min:   1.01                            free:   62.0G  cached:    61.6G                           free:        0

NETWORK     Rx/s   Tx/s   TASKS 370 (507 thr), 2 run, 368 slp, 0 oth sorted automatically by cpu_percent, flat view
ens5        136b    2Kb
lo         343Mb  343Mb     CPU%  MEM%  VIRT   RES   PID USER        NI S    TIME+ IOR/s IOW/s Command
                           100.4   1.5 1.65G 1.06G  9909 ubuntu       0 S  1:01.33     0     0 clickhouse-client --host=0.0.0.0 --query=INSERT INTO trips FORMAT CSV
DISK I/O     R/s    W/s     85.1   0.0 4.65M  708K  9908 ubuntu       0 R  0:50.60   32M     0 gzip -d -c /ch/csv/trips_xac.csv.gz
loop0          0      0     54.9   5.1 8.14G 3.49G  8091 clickhous    0 S  1:44.23     0   45M /usr/bin/clickhouse-server --config=/etc/clickhouse-server/config.xml
loop1          0      0      4.5   0.0     0     0   319 root         0 S  0:07.50    1K     0 kworker/u72:2
nvme0n1        0     3K      2.3   0.0 91.1M 28.9M  9912 root         0 R  0:01.56     0     0 /usr/bin/python3 /usr/bin/glances
nvme0n1p1      0     3K      0.3   0.0     0     0   960 root       -20 S  0:00.10     0     0 kworker/28:1H
nvme1n1    32.1M   495M      0.3   0.0     0     0  1058 root       -20 S  0:00.90     0     0 kworker/23:1H

Waxaan meel bannaan ka dhigi doonaa wadista NVMe anigoo tirtiraya faylalka asalka ah ee CSV ka hor intaanan sii wadin.

$ sudo rm -fr /ch/csv

U beddelo Foomka Tiirka

Matoorka Log ClickHouse waxa uu u kaydin doonaa xogta qaab saf ah. Si aad u waydiiso xogta degdega ah, waxaan u beddelaa qaabka columnar anigoo isticmaalaya mishiinka MergeTree.

$ clickhouse-client --host=0.0.0.0

Waxa soo socda ayaa lagu dhameeyay 34 daqiiqo iyo 50 ilbiriqsi. Hawlgalkan ka dib, cabbirka hagaha xogta wuxuu ahaa 237 GB.

CREATE TABLE trips_mergetree
    ENGINE = MergeTree(pickup_date, pickup_datetime, 8192)
    AS SELECT
        trip_id,
        CAST(vendor_id AS Enum8('1' = 1,
                                '2' = 2,
                                'CMT' = 3,
                                'VTS' = 4,
                                'DDS' = 5,
                                'B02512' = 10,
                                'B02598' = 11,
                                'B02617' = 12,
                                'B02682' = 13,
                                'B02764' = 14)) AS vendor_id,
        toDate(pickup_datetime)                 AS pickup_date,
        ifNull(pickup_datetime, toDateTime(0))  AS pickup_datetime,
        toDate(dropoff_datetime)                AS dropoff_date,
        ifNull(dropoff_datetime, toDateTime(0)) AS dropoff_datetime,
        assumeNotNull(store_and_fwd_flag)       AS store_and_fwd_flag,
        assumeNotNull(rate_code_id)             AS rate_code_id,

        assumeNotNull(pickup_longitude)         AS pickup_longitude,
        assumeNotNull(pickup_latitude)          AS pickup_latitude,
        assumeNotNull(dropoff_longitude)        AS dropoff_longitude,
        assumeNotNull(dropoff_latitude)         AS dropoff_latitude,
        assumeNotNull(passenger_count)          AS passenger_count,
        assumeNotNull(trip_distance)            AS trip_distance,
        assumeNotNull(fare_amount)              AS fare_amount,
        assumeNotNull(extra)                    AS extra,
        assumeNotNull(mta_tax)                  AS mta_tax,
        assumeNotNull(tip_amount)               AS tip_amount,
        assumeNotNull(tolls_amount)             AS tolls_amount,
        assumeNotNull(ehail_fee)                AS ehail_fee,
        assumeNotNull(improvement_surcharge)    AS improvement_surcharge,
        assumeNotNull(total_amount)             AS total_amount,
        assumeNotNull(payment_type)             AS payment_type_,
        assumeNotNull(trip_type)                AS trip_type,

        pickup AS pickup,
        pickup AS dropoff,

        CAST(assumeNotNull(cab_type)
            AS Enum8('yellow' = 1, 'green' = 2))
                                AS cab_type,

        precipitation           AS precipitation,
        snow_depth              AS snow_depth,
        snowfall                AS snowfall,
        max_temperature         AS max_temperature,
        min_temperature         AS min_temperature,
        average_wind_speed      AS average_wind_speed,

        pickup_nyct2010_gid     AS pickup_nyct2010_gid,
        pickup_ctlabel          AS pickup_ctlabel,
        pickup_borocode         AS pickup_borocode,
        pickup_boroname         AS pickup_boroname,
        pickup_ct2010           AS pickup_ct2010,
        pickup_boroct2010       AS pickup_boroct2010,
        pickup_cdeligibil       AS pickup_cdeligibil,
        pickup_ntacode          AS pickup_ntacode,
        pickup_ntaname          AS pickup_ntaname,
        pickup_puma             AS pickup_puma,

        dropoff_nyct2010_gid    AS dropoff_nyct2010_gid,
        dropoff_ctlabel         AS dropoff_ctlabel,
        dropoff_borocode        AS dropoff_borocode,
        dropoff_boroname        AS dropoff_boroname,
        dropoff_ct2010          AS dropoff_ct2010,
        dropoff_boroct2010      AS dropoff_boroct2010,
        dropoff_cdeligibil      AS dropoff_cdeligibil,
        dropoff_ntacode         AS dropoff_ntacode,
        dropoff_ntaname         AS dropoff_ntaname,
        dropoff_puma            AS dropoff_puma
    FROM trips;

Tani waa sida wax-soo-saarka jaleecada uu u ekaa intii lagu jiray hawlgalka:

ip-172-30-2-200 (Ubuntu 16.04 64bit / Linux 4.4.0-1072-aws)                                                                                                 Uptime: 1:06:09
CPU      10.3%  nice:     0.0%                           LOAD    36-core                           MEM     16.1%  active:    13.3G                           SWAP      0.0%
user:     7.9%  irq:      0.0%                           1 min:    1.87                            total:  68.7G  inactive:  52.8G                           total:       0
system:   1.6%  iowait:   0.8%                           5 min:    1.76                            used:   11.1G  buffers:   71.8M                           used:        0
idle:    89.7%  steal:    0.0%                           15 min:   1.95                            free:   57.6G  cached:    57.2G                           free:        0

NETWORK     Rx/s   Tx/s   TASKS 367 (523 thr), 1 run, 366 slp, 0 oth sorted automatically by cpu_percent, flat view
ens5         1Kb    8Kb
lo           2Kb    2Kb     CPU%  MEM%  VIRT   RES   PID USER        NI S    TIME+ IOR/s IOW/s Command
                           241.9  12.8 20.7G 8.78G  8091 clickhous    0 S 30:36.73   34M  125M /usr/bin/clickhouse-server --config=/etc/clickhouse-server/config.xml
DISK I/O     R/s    W/s      2.6   0.0 90.4M 28.3M  9948 root         0 R  1:18.53     0     0 /usr/bin/python3 /usr/bin/glances
loop0          0      0      1.3   0.0     0     0   203 root         0 S  0:09.82     0     0 kswapd0
loop1          0      0      0.3   0.1  315M 61.3M 15701 ubuntu       0 S  0:00.40     0     0 clickhouse-client --host=0.0.0.0
nvme0n1        0     3K      0.3   0.0     0     0     7 root         0 S  0:00.83     0     0 rcu_sched
nvme0n1p1      0     3K      0.0   0.0     0     0   142 root         0 S  0:00.22     0     0 migration/27
nvme1n1    25.8M   330M      0.0   0.0 59.7M 1.79M  2764 ubuntu       0 S  0:00.00     0     0 (sd-pam)

Imtixaankii u dambeeyay, dhowr tiir ayaa la beddelay oo dib loo xisaabiyay. Waxaan ogaaday in qaar ka mid ah shaqooyinkan aysan u shaqayn sidii la filayey xogtan. Si loo xalliyo dhibaatadan, waxaan ka saaray hawlaha aan habboonayn oo aan ku shubay xogta iyada oo aan u beddelin noocyo badan oo granular ah.

Qaybinta xogta guud ahaan kooxda

Waxaan xogta u qaybin doonaa dhammaan saddexda qanjidhada kooxeed. Si aan u bilaabo, hoos waxaan ku abuuri doonaa miis dhammaan saddexda mishiin.

$ clickhouse-client --host=0.0.0.0

CREATE TABLE trips_mergetree_third (
    trip_id                 UInt32,
    vendor_id               String,
    pickup_date             Date,
    pickup_datetime         DateTime,
    dropoff_date            Date,
    dropoff_datetime        Nullable(DateTime),
    store_and_fwd_flag      Nullable(FixedString(1)),
    rate_code_id            Nullable(UInt8),
    pickup_longitude        Nullable(Float64),
    pickup_latitude         Nullable(Float64),
    dropoff_longitude       Nullable(Float64),
    dropoff_latitude        Nullable(Float64),
    passenger_count         Nullable(UInt8),
    trip_distance           Nullable(Float64),
    fare_amount             Nullable(Float32),
    extra                   Nullable(Float32),
    mta_tax                 Nullable(Float32),
    tip_amount              Nullable(Float32),
    tolls_amount            Nullable(Float32),
    ehail_fee               Nullable(Float32),
    improvement_surcharge   Nullable(Float32),
    total_amount            Nullable(Float32),
    payment_type            Nullable(String),
    trip_type               Nullable(UInt8),
    pickup                  Nullable(String),
    dropoff                 Nullable(String),

    cab_type                Nullable(String),

    precipitation           Nullable(Int8),
    snow_depth              Nullable(Int8),
    snowfall                Nullable(Int8),
    max_temperature         Nullable(Int8),
    min_temperature         Nullable(Int8),
    average_wind_speed      Nullable(Int8),

    pickup_nyct2010_gid     Nullable(Int8),
    pickup_ctlabel          Nullable(String),
    pickup_borocode         Nullable(Int8),
    pickup_boroname         Nullable(String),
    pickup_ct2010           Nullable(String),
    pickup_boroct2010       Nullable(String),
    pickup_cdeligibil       Nullable(FixedString(1)),
    pickup_ntacode          Nullable(String),
    pickup_ntaname          Nullable(String),
    pickup_puma             Nullable(String),

    dropoff_nyct2010_gid    Nullable(UInt8),
    dropoff_ctlabel         Nullable(String),
    dropoff_borocode        Nullable(UInt8),
    dropoff_boroname        Nullable(String),
    dropoff_ct2010          Nullable(String),
    dropoff_boroct2010      Nullable(String),
    dropoff_cdeligibil      Nullable(String),
    dropoff_ntacode         Nullable(String),
    dropoff_ntaname         Nullable(String),
    dropoff_puma            Nullable(String)
) ENGINE = MergeTree(pickup_date, pickup_datetime, 8192);

Markaa waxaan hubin doonaa in server-ka ugu horreeya uu arki karo dhammaan saddexda nood ee kutlada.

SELECT *
FROM system.clusters
WHERE cluster = 'perftest_3shards'
FORMAT Vertical;
Row 1:
──────
cluster:          perftest_3shards
shard_num:        1
shard_weight:     1
replica_num:      1
host_name:        172.30.2.192
host_address:     172.30.2.192
port:             9000
is_local:         1
user:             default
default_database:
Row 2:
──────
cluster:          perftest_3shards
shard_num:        2
shard_weight:     1
replica_num:      1
host_name:        172.30.2.162
host_address:     172.30.2.162
port:             9000
is_local:         0
user:             default
default_database:

Row 3:
──────
cluster:          perftest_3shards
shard_num:        3
shard_weight:     1
replica_num:      1
host_name:        172.30.2.36
host_address:     172.30.2.36
port:             9000
is_local:         0
user:             default
default_database:

Kadibna waxaan qeexi doonaa miis cusub oo ku yaal server-ka ugu horreeya kaas oo ku saleysan schema trips_mergetree_third waxayna isticmaashaa mishiinka la qaybiyay.

CREATE TABLE trips_mergetree_x3
    AS trips_mergetree_third
    ENGINE = Distributed(perftest_3shards,
                         default,
                         trips_mergetree_third,
                         rand());

Ka dib waxaan koobi doonaa xogta ka miiska MergeTree ee ku salaysan dhammaan saddexda server. Kuwa soo socda ayaa lagu dhameeyay 34 daqiiqo iyo 44 ilbiriqsi.

INSERT INTO trips_mergetree_x3
    SELECT * FROM trips_mergetree;

Hawlgalka kore ka dib, waxaan siiyay ClickHouse 15 daqiiqo si ay uga fogaato calaamadda heerka kaydinta ugu badan. Hagaha xogta waxay ku dhammaatay inay noqdaan 264 GB, 34 GB iyo 33 GB siday u kala horreeyaan saddexda server.

Qiimaynta waxqabadka kooxda ClickHouse

Waxa aan arkay markii xigtay waa wakhtiga ugu dhakhsaha badan ee aan arko iyada oo su'aalo kasta miiska lagu hayo marar badan trips_mergetree_x3.

$ clickhouse-client --host=0.0.0.0

Kuwa soo socda ayaa lagu dhammeeyey 2.449 ilbiriqsi.

SELECT cab_type, count(*)
FROM trips_mergetree_x3
GROUP BY cab_type;

Kuwa soo socda ayaa lagu dhammeeyey 0.691 ilbiriqsi.

SELECT passenger_count,
       avg(total_amount)
FROM trips_mergetree_x3
GROUP BY passenger_count;

Kuwa soo socda ayaa lagu dhammeeyey 0 ilbiriqsi.

SELECT passenger_count,
       toYear(pickup_date) AS year,
       count(*)
FROM trips_mergetree_x3
GROUP BY passenger_count,
         year;

Kuwa soo socda ayaa lagu dhammeeyey 0.983 ilbiriqsi.

SELECT passenger_count,
       toYear(pickup_date) AS year,
       round(trip_distance) AS distance,
       count(*)
FROM trips_mergetree_x3
GROUP BY passenger_count,
         year,
         distance
ORDER BY year,
         count(*) DESC;

Isbarbardhigga, waxaan ku orday isla su'aalo la mid ah miis ku saleysan MergeTree kaas oo ku yaal kaliya server-kii ugu horreeyay.

Qiimaynta waxqabadka hal ClickHouse

Waxa aan arkay markii xigtay waa wakhtiga ugu dhakhsaha badan ee aan arko iyada oo su'aalo kasta miiska lagu hayo marar badan trips_mergetree_x3.

Kuwa soo socda ayaa lagu dhammeeyey 0.241 ilbiriqsi.

SELECT cab_type, count(*)
FROM trips_mergetree
GROUP BY cab_type;

Kuwa soo socda ayaa lagu dhammeeyey 0.826 ilbiriqsi.

SELECT passenger_count,
       avg(total_amount)
FROM trips_mergetree
GROUP BY passenger_count;

Kuwa soo socda ayaa lagu dhammeeyey 1.209 ilbiriqsi.

SELECT passenger_count,
       toYear(pickup_date) AS year,
       count(*)
FROM trips_mergetree
GROUP BY passenger_count,
         year;

Kuwa soo socda ayaa lagu dhammeeyey 1.781 ilbiriqsi.

SELECT passenger_count,
       toYear(pickup_date) AS year,
       round(trip_distance) AS distance,
       count(*)
FROM trips_mergetree
GROUP BY passenger_count,
         year,
         distance
ORDER BY year,
         count(*) DESC;

Milicsiga natiijooyinka

Tani waa markii ugu horeysay ee xogta ku salaysan CPU ee bilaashka ah ay awoodo inay ka fiicnaato xogta ku salaysan GPU ee imtixaanadayda. Xogta ku salaysan GPU-da waxay soo martay laba dib-u-eegis tan iyo markaas, laakiin waxqabadka ay ClickHouse ku bixisay hal nood ayaa si kastaba ha ahaatee aad u cajiib ah.

Isla mar ahaantaana, marka la fulinayo Su'aasha 1 ee mishiinka la qaybiyey, kharashyada dheeraadka ah waa amar ka sarreeya. Waxaan rajaynayaa in aan wax ku seegay cilmi-baadhistaydii qoraalkan sababtoo ah way fiicnaan lahayd in la arko wakhtiyada weydiinta oo hoos u dhacaya marka aan ku daro noono badan kooxda. Si kastaba ha ahaatee, way fiicantahay in marka la fulinayo su'aalaha kale, waxqabadka uu kordhay ilaa 2 jeer.

Way fiicnaan lahayd in la arko ClickHouse oo u kobcaysa awoodda kala saarista kaydinta iyo xisaabinta si ay si madaxbannaan u cabbiraan. Taageerada HDFS, oo lagu daray sannadkii hore, waxay noqon kartaa tallaabo loo qaado tan. Xagga xisaabinta, haddii hal weydiimo la dedejin karo iyadoo lagu darayo nood badan kooxda, markaas mustaqbalka software-kani aad buu u ifayaa.

Waad ku mahadsan tahay waqtiga aad gelisay akhrinta qoraalkan. Waxaan u fidiyaa la-talin, qaab-dhismeed, iyo adeegyo horumarineed oo ku celcelinta macaamiisha Waqooyiga Ameerika iyo Yurub. Haddii aad jeclaan lahayd inaad ka hadasho sida talooyinkaygu u caawin karaan ganacsigaaga, fadlan ila soo xiriir LinkedIn.

Source: www.habr.com

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