I-1.1 yeebhiliyoni zohambo lweeteksi: 108-core Cluster yeClickHouse

Ukuguqulelwa kwenqaku kulungiselelwe ngokukodwa abafundi bekhosi Injineli yedatha.

I-1.1 yeebhiliyoni zohambo lweeteksi: 108-core Cluster yeClickHouse

Cofa indlu ngumthombo ovulekileyo wesiseko sedatha yekholam. Yindawo entle apho amakhulu abahlalutyi banokukhawuleza babuze idatha eneenkcukacha, nanjengokuba amashumi eebhiliyoni zeerekhodi ezintsha zingeniswa ngosuku. Iindleko zeziseko zophuhliso zokuxhasa inkqubo enjalo zinokuphakama ukuya kutsho kwi-100 yeedola ngonyaka, kwaye kusenokwenzeka ukuba sisiqingatha kuxhomekeke ekusetyenzisweni. Ngesinye isikhathi, ukufakwa kweClickHouse kwi-Yandex Metrics kuqulethe iirekhodi ze-10 trillion. Ukongeza kwiYandex, iClickHouse ifumene impumelelo kunye neBloomberg kunye ne-Cloudflare.

Kwiminyaka emibini edlulileyo ndachitha uhlalutyo lothelekiso oovimba beenkcukacha besebenzisa umatshini omnye, kwaye yaba eyona ikhawulezayo Isoftware yedatabase yasimahla endakha ndayibona. Ukususela ngoko, abaphuhlisi abazange bayeke ukongeza iimpawu, kuquka inkxaso ye-Kafka, i-HDFS kunye ne-ZStandard compression. Kunyaka ophelileyo bongeze inkxaso yeendlela zoxinzelelo lwe-cascading, kunye i-delta-ukusuka-kwi-delta ikhowudi yaba yinto enokwenzeka. Xa ucinezela idatha yothotho lwexesha, amaxabiso egeyiji anokucinezelwa kakuhle kusetyenziswa i-delta encoding, kodwa kwizinto zokubala kuya kuba ngcono ukusebenzisa i-delta-by-delta encoding. Uxinzelelo oluhle lube ngundoqo ekusebenzeni kweClickHouse.

I-ClickHouse inemigca eyi-170 yewaka lekhowudi ye-C ++, ngaphandle kweelayibrari zeqela lesithathu, kwaye yenye yezona ndawo zincinci zekhowudi zekhowudi. Ngokuthelekisa, i-SQLite ayixhasi ukuhanjiswa kwaye iqulethe i-235 amawaka emigca yekhowudi ye-C. Njengoko kulo mbhalo, iinjineli ze-207 ziye zafaka isandla kwi-ClickHouse, kwaye ukuqina kokuzibophelela kuye kwanda kutshanje.

NgoMatshi ka-2017, iClickHouse yaqala ukuqhuba utshintsho log njengendlela elula yokugcina umkhondo wophuhliso. Baphinde baqhekeza ifayile yamaxwebhu e-monolithic kwifayile ye-Markdown-based hierarchy. Imiba kunye neempawu zilandelwa nge-GitHub, kwaye ngokubanzi isoftware ifikeleleke kakhulu kwiminyaka embalwa edlulileyo.

Kweli nqaku, ndiza kujonga ukusebenza kweClickHouse cluster kwi-AWS EC2 usebenzisa i-36-core processors kunye nokugcinwa kwe-NVMe.

UHLAZIYO: Kwiveki emva kokupapasha le posi kwasekuqaleni, ndiye ndaphinda uvavanyo ngolungelelwaniso oluphuculweyo kwaye ndafumana iziphumo ezingcono kakhulu. Esi sithuba sihlaziyiwe ukubonisa olu tshintsho.

Ukuphehlelela i-AWS EC2 Cluster

Ndiza kusebenzisa iimeko ezintathu ze-c5d.9xlarge EC2 kwesi sithuba. Ngamnye wabo uqulethe i-36 ye-CPU ye-virtual, i-72 GB ye-RAM, i-900 GB ye-NVMe SSD yokugcina kwaye isekela inethiwekhi ye-Gigabit ye-10. Babiza i-$ 1,962 ngeyure nganye kummandla we-eu-west-1 xa beqhuba ngokwemfuno. Ndiza kusebenzisa Ubuntu Server 16.04 LTS njengenkqubo yokusebenza.

I-firewall iqwalaselwe ukuze umatshini ngamnye akwazi ukunxibelelana omnye nomnye ngaphandle kwezithintelo, kwaye kuphela idilesi yam ye-IPv4 efakwe kuluhlu olumhlophe yi-SSH kwiqela.

I-NVMe drive ikwimo yokulungela ukusebenza

Ukuze iClickHouse isebenze, ndiza kudala inkqubo yefayile kwi-EXT4 ifomathi kwi-NVMe drive kwiseva nganye.

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

Emva kokuba yonke into icwangcisiwe, unokubona indawo yokunyuka kunye ne-783 GB yendawo ekhoyo kwinkqubo nganye.

$ 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

Iseti yedatha endiza kuyisebenzisa kolu vavanyo yindawo yokulahla idatha endayivelisa kwi-1.1 yebhiliyoni yohambo lweeteksi oluthathwe kwisiXeko saseNew York kwiminyaka emithandathu. Kwiblogi Ibhiliyoni enye yohambo lweeteksi kwiRedshift iinkcukacha ngendlela endiyiqokelele ngayo le seti yedatha. Zigcinwe kwi-AWS S3, ngoko ke ndiya kumisela i-AWS CLI ngokufikelela kwam kunye nezitshixo eziyimfihlo.

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

Ndizakuseta umda wesicelo somthengi ngexesha elinye ukuya kwi-100 ukuze iifayile zikhuphele ngokukhawuleza kunoseto olungagqibekanga.

$ aws configure set 
    default.s3.max_concurrent_requests 
    100

Ndiza kukhuphela idatha yokukhwela iteksi ukusuka kwi-AWS S3 kwaye ndiyigcine kwi-NVMe drive kwiseva yokuqala. Le dataset yi ~104GB kwifomathi ye-CSV ecinezelweyo ye-GZIP.

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

Ufakelo lweClickHouse

Ndiza kufaka ukuhanjiswa kwe-OpenJDK ye-Java 8 njengoko ifuneka ukuba iqhube i-Apache ZooKeeper, efunekayo kufakelo olusasaziweyo lwe-ClickHouse kubo bonke oomatshini abathathu.

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

Emva koko ndibeka imo eguquguqukayo JAVA_HOME.

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

Emva koko ndiza kusebenzisa inkqubo yolawulo lwephakheji ye-Ubuntu ukufaka i-ClickHouse 18.16.1, ukujonga kunye ne-ZooKeeper kubo bonke oomatshini abathathu.

$ 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

Ndiza kwenza uluhlu lweClickHouse kwaye ndenze uqwalaselo olungaphezulu kuzo zontathu iiseva.

$ 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

Olu luqwalaselo olugqithileyo endiza kulisebenzisa.

<?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>

Emva koko ndiza kuqhuba iZooKeeper kunye neseva yeClickHouse kubo bonke oomatshini bobathathu.

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

Kulayishwa idatha kwiClickHouse

Kumncedisi wokuqala ndizakwenza itafile yohambo (trips), eya kugcina iseti yedatha yeehambo zeeteksi kusetyenziswa injini yeLog.

$ 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;

Ndiye ndikhuphe kwaye ndilayishe nganye yeefayile ze-CSV kwitafile yohambo (trips). Oku kulandelayo kugqitywe kwimizuzu engama-55 kunye nemizuzwana eyi-10. Emva kwalo msebenzi, ubungakanani boluhlu lwedatha lwaluyi-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)

Isantya sokungenisa sasiyi-155 MB yesiqulatho se-CSV esinganyanzeliswanga ngomzuzwana. Ndiyakrokrela ukuba oku bekungenxa ye-bottleneck kwi-GZIP decompression. Inokuba kube ngokukhawuleza ukuvula zonke iifayile ze-gzip ngokunxuseneyo usebenzisa i-xargs kwaye emva koko ulayishe idatha engafakwanga. Ngezantsi yinkcazo yento ebixelwe ngexesha lenkqubo yokungeniswa kweCSV.

$ 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

Ndiza kukhulula indawo kwi-NVMe drive ngokucima iifayile ze-CSV zoqobo ngaphambi kokuqhubeka.

$ sudo rm -fr /ch/csv

Guqula kwiFomu yeKholam

Injini ye-Log ClickHouse iya kugcina idatha kwifomati ejolise kumqolo. Ukubuza idatha ngokukhawuleza, ndiyiguqulela kwifomathi yekholamu usebenzisa i-injini ye-MergeTree.

$ clickhouse-client --host=0.0.0.0

Oku kulandelayo kugqitywe ngemizuzu engama-34 kunye nemizuzwana engama-50. Emva kwalo msebenzi, ubungakanani boluhlu lwedatha lwaluyi-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;

Nantsi indlela imveliso yokujonga ejonge ngayo ngexesha lomsebenzi:

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)

Kuvavanyo lokugqibela, iikholamu ezininzi zaguqulwa zaphinda zabalwa kwakhona. Ndifumanise ukuba eminye yale misebenzi ayisasebenzi njengoko bekulindelekile kule datha. Ukusombulula le ngxaki, ndisuse imisebenzi engafanelekanga kwaye ndilayishe idatha ngaphandle kokuguqula kwiintlobo ezininzi zegranular.

Ukusasazwa kwedatha kulo lonke iqela

Ndiza kusasaza idatha kuzo zonke iindawo ezintathu zeqela. Ukuqala, ngezantsi ndiza kudala itafile kubo bonke oomatshini bobathathu.

$ 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);

Emva koko ndiya kuqinisekisa ukuba umncedisi wokuqala unokubona zonke iindawo ezintathu kwiqela.

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:

Emva koko ndiza kuchaza itafile entsha kwiseva yokuqala esekwe kwi-schema trips_mergetree_third kwaye isebenzisa i-injini yoSasazo.

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

Emva koko ndiya kukopa idatha kwi-MergeTree esekelwe kwitafile kuzo zonke iiseva ezintathu. Oku kulandelayo kugqitywe ngemizuzu engama-34 kunye nemizuzwana engama-44.

INSERT INTO trips_mergetree_x3
    SELECT * FROM trips_mergetree;

Emva kokusebenza okungentla, ndinike i-ClickHouse imizuzu eyi-15 ukuba ihambe ukusuka kwinqanaba eliphezulu lokugcina uphawu. Izikhokelo zedatha zaphela zibe yi-264 GB, i-34 GB kunye ne-33 GB ngokulandelanayo kwiseva nganye kwiiseva ezintathu.

Uvandlakanyo lokusebenza lweqela leClickHouse

Into endiyibone ngokulandelayo yayilelona xesha likhawulezayo endilibonileyo liqhuba umbuzo ngamnye kwitafile amatyeli amaninzi trips_mergetree_x3.

$ clickhouse-client --host=0.0.0.0

Okulandelayo kugqitywe ngemizuzwana eyi-2.449.

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

Okulandelayo kugqitywe ngemizuzwana eyi-0.691.

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

Oku kulandelayo kugqitywe ngemizuzwana eyi-0.

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

Okulandelayo kugqitywe ngemizuzwana eyi-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;

Ukuthelekisa, ndibaleke imibuzo efanayo kwitafile esekwe kwiMergeTree ehlala kuphela kumncedisi wokuqala.

Uvavanyo lokwenziwa komsebenzi kwindawo enye yeClickHouse

Into endiyibone ngokulandelayo yayilelona xesha likhawulezayo endilibonileyo liqhuba umbuzo ngamnye kwitafile amatyeli amaninzi trips_mergetree_x3.

Okulandelayo kugqitywe ngemizuzwana eyi-0.241.

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

Okulandelayo kugqitywe ngemizuzwana eyi-0.826.

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

Okulandelayo kugqitywe ngemizuzwana eyi-1.209.

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

Okulandelayo kugqitywe ngemizuzwana eyi-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;

Iingcamango ngeziphumo

Eli lixesha lokuqala ukuba i-database esekelwe kwi-CPU yasimahla ikwazile ukodlula i-database esekwe kwi-GPU kwiimvavanyo zam. Le database isekwe kwi-GPU idlulile kuhlaziyo kabini ukusukela ngoko, kodwa ukusebenza okwenziwa yiClickHouse kwindawo enye nangona kunjalo kuyamangalisa kakhulu.

Ngexesha elifanayo, xa uqhuba i-Query 1 kwi-injini esasazwayo, iindleko eziphezulu zingumyalelo wobukhulu obuphezulu. Ndiyathemba ukuba ndiphoswe yinto ethile kuphando lwam kwesi sithuba kuba kuya kuba kuhle ukubona amaxesha emibuzo ehla njengoko ndongeza iindawo ezininzi kwiqela. Nangona kunjalo, kuhle ukuba xa kusenziwa eminye imibuzo, ukusebenza kunyuke malunga namaxesha ama-2.

Kuya kuba kuhle ukubona iClickHouse iguqukela ekubeni ikwazi ukwahlula indawo yokugcina kunye nokubala ukuze bakwazi ukuzimela ngokuzimeleyo. Inkxaso ye-HDFS, eyongeziweyo kunyaka odlulileyo, ingaba linyathelo elibhekiselele koku. Ngokumalunga ne-computing, ukuba umbuzo omnye unokukhawuleziswa ngokongeza iindawo ezininzi kwiqela, ngoko ikamva lale software liqaqambile kakhulu.

Enkosi ngokuthatha ixesha lokufunda le post. Ndinikezela ngokucebisana, ulwakhiwo, kunye neenkonzo zophuhliso lokuziqhelanisa kubathengi baseMntla Melika naseYurophu. Ukuba ungathanda ukuxoxa ngendlela iingcebiso zam ezinokulinceda ngayo ishishini lakho, nceda uqhagamshelane nam ngokusebenzisa LinkedIn.

umthombo: www.habr.com

Yongeza izimvo