1.1 milya vwayaj taksi: 108-debaz ClickHouse gwoup

Tradiksyon atik la te prepare espesyalman pou elèv yo nan kou a Enjenyè Done.

1.1 milya vwayaj taksi: 108-debaz ClickHouse gwoup

Klike sou Kay se yon baz done kolòn sous louvri. Li se yon gwo anviwònman kote dè santèn de analis ka byen vit mande done detaye, menm lè plizyè dizèn de milya nouvo dosye yo antre chak jou. Depans enfrastrikti pou sipòte yon sistèm sa yo ka rive jiska $100 pou chak ane, ak potansyèlman mwatye sa depann de itilizasyon. Nan yon pwen, enstalasyon ClickHouse soti nan Yandex Metrics te genyen 10 billions dosye. Anplis Yandex, ClickHouse te jwenn siksè tou ak Bloomberg ak Cloudflare.

De zan de sa mwen te pase analiz konparatif baz done lè l sèvi avèk yon sèl machin, epi li te vin pi rapid la lojisyèl baz done gratis mwen te janm wè. Depi lè sa a, devlopè yo te kontinye ajoute karakteristik, ki gen ladan sipò pou konpresyon Kafka, HDFS ak ZStandard. Ane pase a yo te ajoute sipò pou metòd konpresyon kaskad, ak delta-soti-delta kodaj te vin posib. Lè konpresyon done seri tan, valè kalib yo ka byen konprese lè l sèvi avèk kodaj delta, men pou kontwa li ta pi bon yo sèvi ak kodaj delta-pa-delta. Bon konpresyon te vin kle nan pèfòmans ClickHouse a.

ClickHouse konsiste de 170 mil liy kòd C++, san konte bibliyotèk twazyèm pati, e li se youn nan pi piti baz kod ki distribye. An konparezon, SQLite pa sipòte distribisyon ak konsiste de 235 mil liy nan kòd C. Kòm nan ekri sa a, 207 enjenyè te kontribye nan ClickHouse, ak entansite a nan komèt te ogmante dènyèman.

Nan mwa mas 2017, ClickHouse te kòmanse fè konduit journal chanjman kòm yon fason fasil pou kenbe tras nan devlopman. Yo menm tou yo te kraze dosye dokiman monolitik la nan yon yerachi dosye ki baze sou Markdown. Pwoblèm ak karakteristik yo swiv atravè GitHub, epi an jeneral lojisyèl an te vin pi plis aksesib nan dènye ane yo.

Nan atik sa a, mwen pral pran yon gade nan pèfòmans nan yon gwoup ClickHouse sou AWS EC2 lè l sèvi avèk 36-debaz processeurs ak depo NVMe.

MIZAJOU: Yon semèn apre mwen te pibliye pòs sa a, mwen te refè tès la ak yon konfigirasyon amelyore epi mwen te reyalize pi bon rezilta. Pòs sa a te mete ajou pou reflete chanjman sa yo.

Lanse yon AWS EC2 Cluster

Mwen pral sèvi ak twa egzanp c5d.9xlarge EC2 pou pòs sa a. Chak nan yo gen 36 CPU vityèl, 72 GB RAM, 900 GB depo SSD NVMe ak sipòte rezo 10 Gigabit. Yo koute $1,962/èdtan chak nan rejyon eu-west-1 lè yo kouri sou demann. Mwen pral sèvi ak Ubuntu Server 16.04 LTS kòm sistèm operasyon an.

Se pare-feu a konfigirasyon pou chak machin ka kominike youn ak lòt san restriksyon, epi sèlman adrès IPv4 mwen an se lis blan pa SSH nan gwoup la.

Kondwi NVMe nan eta preparasyon pou operasyon

Pou ClickHouse travay, mwen pral kreye yon sistèm fichye nan fòma EXT4 sou yon kondwi NVMe sou chak nan sèvè yo.

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

Yon fwa ke tout bagay se configuré, ou ka wè pwen mòn lan ak 783 GB espas ki disponib sou chak sistèm.

$ 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

Ansanm done mwen pral itilize nan tès sa a se yon depo done mwen te pwodwi nan 1.1 milya vwayaj taksi yo te pran nan Vil Nouyòk sou sis ane. Sou blog la Yon milya vwayaj taksi nan Redshift detaye kijan mwen te kolekte done sa a. Yo estoke nan AWS S3, kidonk mwen pral configured AWS CLI a ak aksè mwen ak kle sekrè.

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

Mwen pral mete limit demann kliyan an nan 100 pou dosye yo telechaje pi vit pase paramèt default yo.

$ aws configure set 
    default.s3.max_concurrent_requests 
    100

Mwen pral telechaje dataset taxi woulib la nan AWS S3 epi estoke li sou yon kondwi NVMe sou premye sèvè a. Ansanm done sa a se ~104GB nan fòma CSV GZIP-konprese.

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

ClickHouse enstalasyon

Mwen pral enstale distribisyon OpenJDK pou Java 8 kòm li oblije kouri Apache ZooKeeper, ki nesesè pou yon enstalasyon distribye ClickHouse sou tout twa machin yo.

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

Lè sa a, mwen mete varyab anviwònman an JAVA_HOME.

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

Lè sa a, mwen pral sèvi ak sistèm jesyon pake Ubuntu a enstale ClickHouse 18.16.1, gade ak ZooKeeper sou tout twa machin yo.

$ 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

Mwen pral kreye yon anyè pou ClickHouse epi tou mwen pral fè kèk ranvwa konfigirasyon sou tout twa serveurs.

$ 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

Sa yo se konfigirasyon konfigirasyon ke mwen pral itilize.

<?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>

Lè sa a, mwen pral kouri ZooKeeper ak sèvè ClickHouse sou tout twa machin yo.

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

Téléchargement done sou ClickHouse

Sou premye sèvè a mwen pral kreye yon tab vwayaj (trips), ki pral estoke yon seri done vwayaj taksi lè l sèvi avèk motè Log la.

$ 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;

Lè sa a, mwen ekstrè epi chaje chak nan dosye CSV yo nan yon tab vwayaj (trips). Sa ki annapre yo te konplete nan 55 minit ak 10 segonn. Apre operasyon sa a, gwosè a nan anyè done a te 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)

Vitès enpòte a te 155 MB nan kontni CSV dekonprese pa segonn. Mwen sispèk sa a te akòz yon bouche nan dekonpresyon GZIP. Li ta ka pi vit dekonprime tout fichye gzipped yo an paralèl lè l sèvi avèk xargs ak Lè sa a, chaje done yo dekonprime. Anba a se yon deskripsyon sa ki te rapòte pandan pwosesis enpòte CSV la.

$ 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

Mwen pral libere espas sou kondwi a NVMe lè w efase dosye orijinal CSV yo anvan ou kontinye.

$ sudo rm -fr /ch/csv

Konvèti nan fòm kolòn

Log ClickHouse motè a pral estoke done nan yon fòma oryante ranje. Pou rechèch done pi vit, mwen konvèti li nan fòma kolòn lè l sèvi avèk motè MergeTree la.

$ clickhouse-client --host=0.0.0.0

Sa ki annapre yo te konplete nan 34 minit ak 50 segonn. Apre operasyon sa a, gwosè a nan anyè done a te 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;

Men sa pwodiksyon ti koutje a te sanble pandan operasyon an:

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)

Nan dènye tès la, plizyè kolòn yo te konvèti ak rekalkile. Mwen te jwenn ke kèk nan fonksyon sa yo pa travay ankò jan yo espere sou dataset sa a. Pou rezoud pwoblèm sa a, mwen retire fonksyon ki pa apwopriye yo epi chaje done yo san yo pa konvèti nan plis kalite granulaire.

Distribisyon done atravè gwoup la

Mwen pral distribye done yo atravè tout twa nœuds gwoup yo. Pou kòmanse, anba a mwen pral kreye yon tab sou tout twa machin yo.

$ 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);

Lè sa a, mwen pral asire w ke premye sèvè a ka wè tout twa nœuds nan gwoup la.

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:

Lè sa a, mwen pral defini yon nouvo tab sou sèvè a premye ki baze sou chema a trips_mergetree_third epi sèvi ak motè distribiye a.

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

Lè sa a, mwen pral kopye done ki soti nan tablo ki baze sou MergeTree nan tout twa serveurs. Sa ki annapre yo te konplete nan 34 minit ak 44 segonn.

INSERT INTO trips_mergetree_x3
    SELECT * FROM trips_mergetree;

Apre operasyon ki pi wo a, mwen te bay ClickHouse 15 minit pou m ale lwen mak nivo maksimòm depo a. Anyè done yo te fini 264 GB, 34 GB ak 33 GB respektivman sou chak nan twa serveurs yo.

Evalyasyon pèfòmans gwoup ClickHouse

Ki sa mwen te wè annapre se tan ki pi rapid mwen te wè kouri chak demann sou yon tab plizyè fwa trips_mergetree_x3.

$ clickhouse-client --host=0.0.0.0

Sa ki annapre yo te konplete nan 2.449 segonn.

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

Sa ki annapre yo te konplete nan 0.691 segonn.

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

Sa ki annapre yo te konplete nan 0 segonn.

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

Sa ki annapre yo te konplete nan 0.983 segonn.

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;

Pou konparezon, mwen te kouri demann yo menm sou yon tab MergeTree ki baze sou ki abite sèlman sou premye sèvè a.

Evalyasyon pèfòmans yon sèl ClickHouse ne

Ki sa mwen te wè annapre se tan ki pi rapid mwen te wè kouri chak demann sou yon tab plizyè fwa trips_mergetree_x3.

Sa ki annapre yo te konplete nan 0.241 segonn.

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

Sa ki annapre yo te konplete nan 0.826 segonn.

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

Sa ki annapre yo te konplete nan 1.209 segonn.

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

Sa ki annapre yo te konplete nan 1.781 segonn.

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;

Refleksyon sou rezilta yo

Sa a se premye fwa ke yon baz done gratis ki baze sou CPU te kapab depase yon baz done ki baze sou GPU nan tès mwen yo. Sa a baz done ki baze sou GPU te ale nan de revizyon depi lè sa a, men pèfòmans ClickHouse te delivre sou yon sèl ne se kanmenm trè enpresyonan.

An menm tan an, lè w ap egzekite Rekèt 1 sou yon motè distribiye, depans jeneral yo se yon lòd ki pi wo. Mwen espere ke mwen te rate yon bagay nan rechèch mwen an pou pòs sa a paske li ta bon pou wè tan demann desann pandan m ap ajoute plis nœuds nan gwoup la. Sepandan, li se gwo ke lè egzekite lòt demann, pèfòmans ogmante pa apeprè 2 fwa.

Li ta bon pou wè ClickHouse evolye nan direksyon pou yo kapab separe depo ak kalkile pou yo ka echèl poukont yo. Sipò HDFS, ki te ajoute ane pase a, ta ka yon etap nan direksyon sa a. An tèm de informatique, si yon sèl demann ka akselere lè yo ajoute plis nœuds nan gwoup la, Lè sa a, lavni an nan lojisyèl sa a se trè klere.

Mèsi paske w pran tan pou w li pòs sa a. Mwen ofri sèvis konsiltasyon, achitekti ak devlopman pratik bay kliyan nan Amerik di Nò ak Ewòp. Si ou ta renmen diskite sou fason sijesyon mwen yo ka ede biznis ou, tanpri kontakte m 'via LinkedIn.

Sous: www.habr.com

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