Maeto a litekesi a limilione tse likete tse 1.1: sehlopha sa ClickHouse sa 108-core

Phetolelo ea sehlooho sena e lokiselitsoe ka ho khetheha liithuti tsa thupelo Moenjiniere oa Boitsebiso.

Maeto a litekesi a limilione tse likete tse 1.1: sehlopha sa ClickHouse sa 108-core

TlanyaHouse ke mohloli o bulehileng oa polokelo ea litaba. Ke tikoloho e ntle moo bahlahlobisisi ba makholo ba ka botsang lintlha tse qaqileng ka potlako, leha lirekoto tse ncha tse mashome a libilione li kenngoa ka letsatsi. Litšenyehelo tsa lisebelisoa tsa ho tšehetsa tsamaiso e joalo li ka ba holimo ho $ 100 ka selemo, 'me mohlomong halofo ea eona e itšetlehile ka tšebeliso. Ka nako e 'ngoe, ho kenngoa ha ClickHouse ho tloha Yandex Metrica ho ne ho e-na le lirekoto tsa 10 trillion. Ho phaella ho Yandex, ClickHouse e boetse e fumane katleho le Bloomberg le Cloudflare.

Lilemong tse peli tse fetileng ke qetile tlhahlobo ea papiso databases sebelisa mochine o le mong, 'me ea fetoha e potlakileng ka ho fetisisa software ea mahala ea database eo nkileng ka e bona. Ho tloha ka nako eo, bahlahisi ba 'nile ba tsoela pele ho eketsa likarolo, ho kenyelletsa tšehetso ea Kafka, HDFS le ZStandard compression. Selemong se fetileng ba ile ba eketsa tšehetso bakeng sa mekhoa ea khatello ea cascading, le delta-from-delta khouto e ile ea khonahala. Ha u hatella lintlha tsa letoto la nako, litekanyetso tsa gauge li ka hatelloa hantle ka ho sebelisa encoding ea delta, empa bakeng sa li-counters ho ka ba molemo ho sebelisa encoding ea delta-by-delta. Khatello e ntle e fetohile senotlolo sa ts'ebetso ea ClickHouse.

ClickHouse e na le mela e likete tse 170 ea khoutu ea C++, ho sa kenyeletsoe lilaebrari tsa batho ba boraro, 'me ke e 'ngoe ea li-codebase tse nyane ka ho fetisisa tsa database tse ajoang. Ha ho bapisoa, SQLite ha e tšehetse kabo 'me e na le mela e likete tse 235 tsa khoutu ea C. Ha e ntse e ngoloa, baenjiniere ba 207 ba kentse letsoho ho ClickHouse, 'me matla a boitlamo a ntse a eketseha haufinyane.

Ka Hlakubele 2017, ClickHouse e ile ea qala ho tsamaisa fetola log joalo ka mokhoa o bonolo oa ho boloka tlaleho ea tsoelopele. Ba boetse ba qhetsola faele ea litokomane tsa monolithic ho ba bolaoli ba faele bo thehiloeng ho Markdown. Litaba le likarolo li lateloa ka GitHub, 'me ka kakaretso software e se e fumaneha haholoanyane lilemong tse' maloa tse fetileng.

Sehloohong sena, ke tla sheba ts'ebetso ea sehlopha sa ClickHouse ho AWS EC2 se sebelisa li-processor tsa 36-core le polokelo ea NVMe.

HLAHALA: Beke ka mor'a hore ke phatlalatse poso ena, ke ile ka boela ka etsa tlhahlobo ka tlhophiso e ntlafalitsoeng mme ka fumana liphetho tse ntle haholo. Poso ena e ntlafalitsoe ho bonts'a liphetoho tsena.

Ho qala sehlopha sa AWS EC2

Ke tla sebelisa liketsahalo tse tharo tsa c5d.9xlarge EC2 bakeng sa poso ena. E 'ngoe le e' ngoe ea tsona e na le 36 virtual CPUs, 72 GB ea RAM, 900 GB ea polokelo ea NVMe SSD 'me e tšehetsa marang-rang a 10 Gigabit. Li bitsa $1,962/hora e 'ngoe le e 'ngoe sebakeng sa eu-west-1 ha li sebetsa ka tlhokahalo. Ke tla be ke sebelisa Ubuntu Server 16.04 LTS joalo ka sistimi e sebetsang.

Firewall e lokiselitsoe hore mochine o mong le o mong o khone ho buisana ntle le lithibelo, 'me ke aterese ea ka ea IPv4 feela e soeufalitsoeng ke SSH sehlopheng.

Koloi ea NVMe e boemong ba ho itokisetsa ho sebetsa

Hore ClickHouse e sebetse, ke tla theha sistimi ea faele ka sebopeho sa EXT4 ho drive ea NVMe ho seva ka seng.

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

Hang ha ntho e 'ngoe le e' ngoe e hlophisitsoe, u ka bona ntlha ea thaba le 783 GB ea sebaka se fumanehang tsamaisong ka 'ngoe.

$ 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

Lethathamo la lintlha leo ke tla le sebelisa tekong ena ke thotobolo eo ke e hlahisitseng ho tsoa ho litekesi tse bilione tse 1.1 tse nkiloeng New York City nakong ea lilemo tse tšeletseng. Ho blog Maeto a Tekesi a Bilione e le 'ngoe ho Redshift lintlha tsa kamoo ke bokeletseng sete ena ea data. Li bolokiloe ho AWS S3, kahoo ke tla lokisa AWS CLI ka phihlello ea ka le linotlolo tsa lekunutu.

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

Ke tla beha moeli oa kopo ea moreki ho isa ho 100 e le hore lifaele li jarolloe ka potlako ho feta litlhophiso tsa kamehla.

$ aws configure set 
    default.s3.max_concurrent_requests 
    100

Ke tla khoasolla datha ea ho palama litekesi ho tsoa ho AWS S3 ebe ke e boloka ho drive ea NVMe ho seva sa pele. Lenane la boitsebiso ke ~104GB ka sebopeho sa CSV se hatisitsoeng ke GZIP.

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

Ho kenya ClickHouse

Ke tla kenya kabo ea OpenJDK bakeng sa Java 8 kaha ho hlokahala ho tsamaisa Apache ZooKeeper, e hlokahalang bakeng sa ts'ebetso e ajoang ea ClickHouse mecheng eohle e meraro.

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

Ebe ke beha tikoloho e feto-fetohang JAVA_HOME.

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

Ke tla sebelisa sistimi ea taolo ea liphutheloana tsa Ubuntu ho kenya ClickHouse 18.16.1, glances le ZooKeeper mecheng eohle e meraro.

$ 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

Ke tla theha bukana bakeng sa ClickHouse hape ke etse litlhophiso tse ling ho li-server tsohle tse tharo.

$ 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

Tsena ke litlatsetso tsa tlhophiso tseo ke tla beng ke li sebelisa.

<?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>

Ka nako eo ke tla tsamaisa ZooKeeper le seva sa ClickHouse mecheng eohle e meraro.

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

Ho kenya data ho ClickHouse

Ho seva sa pele ke tla theha tafole ea maeto (trips), e tla boloka pokello ea data ea maeto a tekesi ho sebelisoa enjine ea 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;

Ebe ke ntša le ho kenya e 'ngoe le e' ngoe ea lifaele tsa CSV tafoleng ea maeto (trips). Se latelang se ile sa phethoa ka metsotso e 55 le metsotsoana e 10. Kamora ts'ebetso ena, boholo ba bukana ea data e ne e le 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)

Lebelo la ho tlisa thepa e ne e le 155 MB ea litaba tsa CSV tse sa hatelloang ka motsotsoana. Ke belaela hore sena se bakiloe ke bothata ba GZIP decompression. E kanna ea ba kapele ho notlolla lifaele tsohle tsa gzipped ka ho bapa o sebelisa xargs ebe o kenya data e sa buloang. Ka tlase ke tlhaloso ea se tlalehiloeng nakong ea ts'ebetso ea ho kenya 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

Ke tla lokolla sebaka koloing ea NVMe ka ho hlakola lifaele tsa mantlha tsa CSV pele ke tsoela pele.

$ sudo rm -fr /ch/csv

Fetolela ho Foromo ea Kholomo

Enjene ea Log ClickHouse e tla boloka data ka mokhoa o shebaneng le mela. Ho botsa data kapele, ke e fetolela ho sebopeho sa columnar ke sebelisa enjene ea MergeTree.

$ clickhouse-client --host=0.0.0.0

Se latelang se ile sa phethoa ka metsotso e 34 le metsotsoana e 50. Kamora ts'ebetso ena, boholo ba bukana ea data e ne e le 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;

Sena ke seo sephetho sa glance se neng se shebahala nakong ea ts'ebetso:

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)

Mo tekong ya bofelo, dikholomo di le mmalwa di ne tsa fetolwa mme tsa balwa gape. Ke fumane hore tse ling tsa lits'ebetso tsena ha li sa sebetsa joalo ka ha ke ne ke lebelletse pokellong ea data. Ho rarolla bothata bona, ke tlositse mesebetsi e sa lokelang mme ka kenya data ntle le ho fetolela ho mefuta e mengata ea granular.

Phatlalatso ea data ho pholletsa le sehlopha

Ke tla aba data ho pholletsa le lihlopha tsohle tse tharo tsa lihlopha. Ho qala, ka tlase ke tla theha tafole ho mechini eohle e meraro.

$ 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);

Joale ke tla etsa bonnete ba hore seva sa pele se ka bona li-node tsohle tse tharo sehlopheng.

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:

Joale ke tla hlalosa tafole e ncha ho seva sa pele se thehiloeng ho schema trips_mergetree_third 'me e sebelisa enjene ea Distributed.

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

Joale ke tla kopitsa data ho tsoa tafoleng e thehiloeng ho MergeTree ho li-server tsohle tse tharo. E latelang e ile ea phethoa ka metsotso e 34 le metsotsoana e 44.

INSERT INTO trips_mergetree_x3
    SELECT * FROM trips_mergetree;

Kamora ts'ebetso e kaholimo, ke file ClickHouse metsotso e 15 ho tloha hole le letšoao la boemo bo holimo ba polokelo. Li-directory tsa data li ile tsa qetella e le 264 GB, 34 GB le 33 GB ka ho latellana ho e 'ngoe le e 'ngoe ea li-server tse tharo.

Tlhahlobo ea ts'ebetso ea sehlopha sa ClickHouse

Seo ke se boneng ka mor'a moo ke nako e potlakileng eo ke e boneng e botsa potso ka 'ngoe tafoleng makhetlo a mangata trips_mergetree_x3.

$ clickhouse-client --host=0.0.0.0

Tse latelang li phethetsoe ka metsotsoana e 2.449.

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

Tse latelang li phethetsoe ka metsotsoana e 0.691.

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

E latelang e phethiloe ka metsotsoana e 0.

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

Tse latelang li phethetsoe ka metsotsoana e 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;

Ha ke bapisa, ke ile ka botsa lipotso tse tšoanang tafoleng ea MergeTree e lulang feela ho seva sa pele.

Tekolo ea ts'ebetso ea node e le 'ngoe ea ClickHouse

Seo ke se boneng ka mor'a moo ke nako e potlakileng eo ke e boneng e botsa potso ka 'ngoe tafoleng makhetlo a mangata trips_mergetree_x3.

Tse latelang li phethetsoe ka metsotsoana e 0.241.

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

Tse latelang li phethetsoe ka metsotsoana e 0.826.

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

Tse latelang li phethetsoe ka metsotsoana e 1.209.

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

Tse latelang li phethetsoe ka metsotsoana e 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;

Maikutlo ka liphetho

Lena ke lekhetlo la pele ha database ea mahala e thehiloeng ho CPU e khonne ho feta polokelong ea polokelo e thehiloeng ho GPU litekong tsa ka. Database eo e thehiloeng ho GPU e fetile lintlafatso tse peli ho tloha ka nako eo, empa ts'ebetso eo ClickHouse e faneng ka eona sebakeng se le seng e ntse e khahla haholo.

Ka nako e ts'oanang, ha u etsa Query 1 ho enjene e abuoang, litšenyehelo tse holimo ke taelo ea boholo bo holimo. Ke ts'epa hore ke fetotse ho hong lipatlisisong tsa ka bakeng sa poso ena hobane ho ka ba monate ho bona linako tsa lipotso li theoha ha ke ntse ke eketsa li-node ho sehlopha. Leha ho le joalo, ho monate hore ha u etsa lipotso tse ling, ts'ebetso e eketsehile ka makhetlo a ka bang 2.

Ho ka ba monate ho bona ClickHouse e fetoha ho khona ho arola polokelo le likhomphutha hore ba tsebe ho ikemela. Tšehetso ea HDFS, e ileng ea eketsoa selemong se fetileng, e ka ba mohato o lebisang ho sena. Mabapi le komporo, haeba potso e le 'ngoe e ka potlakisoa ka ho eketsa li-node ho sehlopha, joale bokamoso ba software ena bo khanya haholo.

Kea le leboha ka ho ipha nako ea ho bala poso ena. Ke fana ka litšebeletso tsa boeletsi, tsa meralo le tsa ntlafatso ea boikoetliso ho bareki ba Amerika Leboea le Europe. Haeba u ka rata ho buisana ka hore na litlhahiso tsa ka li ka thusa khoebo ea hau joang, ka kopo ikopanye le 'na ka LinkedIn.

Source: www.habr.com

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