1.1 bhiriyoni nzendo dzetekisi: 108-core ClickHouse cluster

Kuturikirwa kwechinyorwa kwakagadzirirwa zvakananga vadzidzi vekosi "Data Engineer".

1.1 bhiriyoni nzendo dzetekisi: 108-core ClickHouse cluster

DzvanyaImba ndeye yakavhurwa sosi columnar database. Inzvimbo yakanaka uko mazana evaongorori vanogona kukurumidza kubvunza zvakadzama data, kunyangwe makumi emabhiriyoni emarekodhi matsva anopinzwa pazuva. Mari yezvivakwa zvekutsigira system yakadai inogona kunge yakakwira semadhora zana pagore, uye ingangoita hafu iyo zvichienderana nekushandiswa. Pane imwe nguva, iyo ClickHouse kuisirwa kubva kuYandex Metrics yaive negumi matrillion marekodhi. Pamusoro peYandex, ClickHouse yakawanawo kubudirira neBloomberg uye Cloudflare.

Makore maviri apfuura ndakapedza kuenzanisa kuongorora databases vachishandisa muchina mumwe, uye yakava the fastest yemahara database software yandakamboona. Kubva ipapo, vagadziri vakaramba vachiwedzera maficha, kusanganisira kutsigirwa kweKafka, HDFS uye ZStandard compression. Gore rakapera vakawedzera tsigiro ye cascading compression nzira, uye delta-kubva-delta kukodha kwakagoneka. Kana uchidzvanya data yenguva yakatevedzana, geji nhanho dzinogona kudzvanywa zvakanaka uchishandisa delta encoding, asi kumakaunda zvingave nani kushandisa delta-by-delta encoding. Kudzvanya kwakanaka kwave kiyi yekuita kweClickHouse.

ClickHouse ine zviuru zana nemakumi manomwe ezviuru zvemitsara yeC ++ kodhi, isingasanganisire echitatu-bato raibhurari, uye ndeimwe yemadiki akagoverwa dhatabhesi codebases. Mukufananidza, SQLite haitsigire kugovera uye ine zviuru mazana maviri nemakumi matatu neshanu mitsara yekodhi C. Sezvo pakunyora uku, mainjiniya e170 vakabatsira kuClickHouse, uye kusimba kwezvipo kuri kuwedzera munguva pfupi yapfuura.

Muna Kurume 2017, ClickHouse yakatanga kuita changelog senzira iri nyore yekuchengeta track yebudiriro. Ivo zvakare vakatyora iyo monolithic zvinyorwa faira kuita Markdown-based faira hierarchy. Nyaya uye maficha anoteverwa kuburikidza neGitHub, uye kazhinji software yave kuwanikwa zvakanyanya mumakore mashoma apfuura.

Muchikamu chino, ini ndichatarisa mashandiro eClickHouse cluster paAWS EC2 uchishandisa 36-core processors uye NVMe kuchengetedza.

ZVAKAITIKA: Vhiki mushure mekutanga kuburitsa chinyorwa ichi, ndakadzokorora bvunzo negadziriso yakagadziridzwa uye ndakawana mhedzisiro iri nani. Ichi chinyorwa chakagadziridzwa kuratidza shanduko idzi.

Kuvhura iyo AWS EC2 Cluster

Ndichange ndichishandisa matatu c5d.9xlarge EC2 zviitiko zvechinyorwa ichi. Imwe neimwe ine 36 chaiyo CPUs, 72 GB ye RAM, 900 GB yeNVMe SSD yekuchengetedza uye inotsigira gumi Gigabit network. Vanodhura $10/awa imwe neimwe mudunhu reeu-kumadokero-1,962 kana vachimhanya pane zvinodiwa. Ini ndichave ndichishandisa Ubuntu Server 1 LTS seyo inoshanda sisitimu.

Iyo firewall inogadziriswa kuitira kuti muchina wega wega ugone kutaurirana pasina zvirambidzo, uye chete IPv4 kero yangu yakacheneswa neSSH musumbu.

NVMe drive mune yekushanda kugadzirira mamiriro

Kuti ClickHouse ishande, ini ndichagadzira faira system muEXT4 fomati pane NVMe drive pane yega yega maseva.

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

Kana zvese zvagadziriswa, unogona kuona nzvimbo yekukwira uye iyo 783 GB yenzvimbo inowanikwa pane yega yega system.

$ 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

Iyo dataset yandichashandisa muyedzo iyi idhata rekurasirwa dhata randakagadzira kubva pabhiriyoni imwe chete. Pa blog Bhirioni imwe yeTaxi Rwendo muRedshift inotsanangura matorero andakaita iyi data seti. Izvo zvakachengetwa muAWS S3, saka ini ndichagadzirisa iyo AWS CLI nekuwana kwangu uye makiyi akavanzika.

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

Ini ndichaisa mutengi wekukumbira panguva imwechete yekukumbira kusvika ku100 kuti mafaera atore nekukasira kupfuura zvigadziriso zvimiro.

$ aws configure set 
    default.s3.max_concurrent_requests 
    100

Ini ndichadhawunirodha tekisi inokwira dhata kubva kuAWS S3 ndoichengeta paNVMe drive pane yekutanga server. Iyi dataset ndeye ~104GB muGZIP-yakadzvanywa CSV fomati.

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

ClickHouse kuiswa

Ini ndichaisa iyo OpenJDK kugovera kweJava 8 sezvinodiwa kuti umhanye Apache ZooKeeper, inodiwa pakuisirwa kuiswa kweClickHouse pamakina ese matatu.

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

Ipapo ini ndakaseta iyo nharaunda inoshanduka JAVA_HOME.

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

Ini ndichabva ndashandisa Ubuntu's package manejimendi system yekuisa ClickHouse 18.16.1, glances uye ZooKeeper pamakina ese matatu.

$ 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

Ini ndichagadzira dhairekitori reClickHouse uye zvakare kuita mamwe magadzirirwo anodarika pamasevha ese matatu.

$ 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

Aya ndiwo magadzirirwo anodarika andichange ndichishandisa.

<?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>

Ini ndichabva ndamhanyisa ZooKeeper uye ClickHouse server pamichina yese mitatu.

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

Kurodha data kuClickHouse

Pane yekutanga server ini ndichagadzira tafura yerwendo (trips), iyo inochengetedza dhatabheti yenzendo dzetekisi uchishandisa iyo Log injini.

$ 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;

Ini ndobva ndatora uye ndinorodha yega yega CSV mafaera mutafura yerwendo (trips) Izvi zvinotevera zvakapedzwa mumaminetsi makumi mashanu nemashanu nemasekonzi gumi. Mushure mekuita uku, saizi yedhairekitori yedata yaive 55 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)

Iyo yekumhanyisa yekupinza yaive 155 MB yezvisina kudzvanywa CSV zvemukati pasekondi. Ini ndinofungidzira kuti izvi zvakakonzerwa nebhodhoro muGZIP decompression. Zvingave zvakakurumidza kuvhura mafaera ese gzipped akafanana uchishandisa xargs uye wozoisa iyo isina kuvharwa data. Pazasi pane tsananguro yezvakashumwa panguva ye CSV kupinza maitiro.

$ 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

Ini ndichasunungura nzvimbo paNVMe drive nekudzima mafaira ekutanga CSV ndisati ndaenderera mberi.

$ sudo rm -fr /ch/csv

Shandura kuFomu yeColumn

Iyo Log ClickHouse injini inochengeta data mumutsara-yakatarisana fomati. Kuti ubvunze data nekukurumidza, ndinoishandura kuita columnar fomati ndichishandisa injini yeMergeTree.

$ clickhouse-client --host=0.0.0.0

Izvi zvinotevera zvakapedzwa mumaminitsi makumi matatu nemana nemasekonzi makumi mashanu. Mushure mekuita uku, saizi yedhairekitori yedata yaive 34 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;

Izvi ndizvo zvainge zvakaita glance kubuda panguva yekushanda:

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)

Muyedzo yekupedzisira, makoramu akati wandei akashandurwa uye akaverengerwazve. Ndakaona kuti mamwe emabasa aya haasisiri kushanda sezvaitarisirwa pane iyi dataset. Kuti ndigadzirise dambudziko iri, ndakabvisa mabasa asina kufanira uye ndikaisa iyo data pasina kushandura kune mamwe marudzi egranular.

Kugoverwa kwedata muboka rose

Ini ndichagovera iyo data kune ese matatu cluster node. Kutanga, pazasi ini ndichagadzira tafura pamashini ese matatu.

$ 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);

Ipapo ini ndichaita shuwa kuti sevha yekutanga inogona kuona ese matatu node musumbu.

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:

Ipapo ini ndichatsanangura tafura nyowani pane yekutanga server yakavakirwa pane schema trips_mergetree_third uye inoshandisa Distributed injini.

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

Ini ndichabva ndakopa iyo data kubva kuMergeTree yakavakirwa tafura kune ese matatu maseva. Izvi zvinotevera zvakapedzwa mumaminitsi makumi matatu nemana nemasekonzi makumi mana nemana.

INSERT INTO trips_mergetree_x3
    SELECT * FROM trips_mergetree;

Mushure mekuvhiyiwa kuri pamusoro, ndakapa ClickHouse maminetsi gumi nemashanu kuti ibve padanho repamusoro rekuchengetedza. Madhairekitori edata akaguma ave 15 GB, 264 GB uye 34 GB zvakateerana pane imwe neimwe yemaseva matatu.

ClickHouse cluster performance evaluation

Izvo zvandakaona zvakatevera yaive nguva yekukurumidza yandakaona ichimhanyisa mubvunzo wega wega patafura kakawanda trips_mergetree_x3.

$ clickhouse-client --host=0.0.0.0

Izvi zvinotevera zvakapedzwa mumasekonzi 2.449.

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

Izvi zvinotevera zvakapedzwa mumasekonzi 0.691.

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

Izvi zvinotevera zvakapedzwa mumasekonzi 0.

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

Izvi zvinotevera zvakapedzwa mumasekonzi 0.983.

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;

Kuenzanisa, ndakamhanya mibvunzo yakafanana paMergeTree-based tafura inogara pane yekutanga server.

Kuongororwa kwekuita kweimwe ClickHouse node

Izvo zvandakaona zvakatevera yaive nguva yekukurumidza yandakaona ichimhanyisa mubvunzo wega wega patafura kakawanda trips_mergetree_x3.

Izvi zvinotevera zvakapedzwa mumasekonzi 0.241.

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

Izvi zvinotevera zvakapedzwa mumasekonzi 0.826.

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

Izvi zvinotevera zvakapedzwa mumasekonzi 1.209.

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

Izvi zvinotevera zvakapedzwa mumasekonzi 1.781.

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;

Kufungisisa pamusoro pezvabuda

Aka ndekekutanga kuti yemahara CPU-yakavakirwa dhatabhesi yakakwanisa kudarika GPU-yakavakirwa dhatabhesi mubvunzo dzangu. Iyo GPU-yakavakirwa dhatabhesi yakapfuura neyakadzokororwa maviri kubva ipapo, asi kuita kwakaunzwa neClickHouse pane imwe node kuchiri kunakidza.

Panguva imwecheteyo, paunenge uchiita Query 1 pane injini yakagoverwa, mutengo wepamusoro ndeye kurongeka kwehukuru hwepamusoro. Ndinovimba ndarasikirwa nechimwe chinhu mukutsvagisa kwangu kwechinyorwa ichi nekuti zvingave zvakanaka kuona nguva dzemibvunzo dzichidzika pandinowedzera dzimwe node kuboka. Nekudaro, zvakanaka kuti kana uchiita mimwe mibvunzo, kuita kwakawedzera nekaviri.

Zvingave zvakanaka kuona ClickHouse ichishanduka kusvika pakukwanisa kupatsanura kuchengetedza uye komputa kuti vakwanise kuyera vakazvimirira. HDFS rutsigiro, iyo yakawedzerwa gore rapfuura, inogona kunge iri nhanho kune izvi. Panyaya yekombuta, kana mubvunzo mumwe chete unogona kukwidziridzwa nekuwedzera mamwe ma node kuboka, saka ramangwana reiyi software rakajeka kwazvo.

Ndinokutendai nekutora nguva yekuverenga chinyorwa ichi. Ini ndinopa kubvunza, kuvaka, uye maitiro ekuvandudza masevhisi kune vatengi muNorth America neEurope. Kana uchida kukurukura kuti mazano angu angabatsira sei bhizinesi rako, ndapota ndibate neni kuburikidza LinkedIn.

Source: www.habr.com

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