Wergera gotarê bi taybetî ji bo xwendekarên qursê hatiye amadekirin
Du sal berê min derbas kir
ClickHouse ji 170 hezar rêzikên koda C++ pêk tê, ji bilî pirtûkxaneyên partiya sêyemîn, û yek ji piçûktirîn bingehên kodên databasê yên belavkirî ye. Di berhevdanê de, SQLite belavkirinê piştgirî nake û ji 235 hezar xêzên koda C pêk tê. Ji vê nivîsandinê ve, 207 endezyar beşdarî ClickHouse bûne, û tundiya peywiran di van demên dawî de zêde bûye.
Di Adara 2017 de, ClickHouse dest pê kir
Di vê gotarê de, ez ê li performansa komek ClickHouse li ser AWS EC2 bi karanîna pêvajoyên 36-core û hilanîna NVMe binihêrim.
NAVENDA NÛÇEYAN: Hefteyek piştî weşandina destpêkê ya vê postê, min ceribandinê bi mîhengek çêtir ji nû ve kir û encamên pir çêtir bi dest xist. Ev post hate nûve kirin ku van guhertinan nîşan bide.
Destpêkirina Komek AWS EC2
Ez ê ji bo vê postê sê mînakên EC5 yên c9d.2xmezin bikar bînim. Her yek ji wan 36 CPU-yên virtual, 72 GB RAM, 900 GB hilanînê NVMe SSD hene û tora 10 Gigabit piştgirî dike. Dema ku li ser daxwazê dimeşînin her yek li herêma eu-west-1,962 1 $ / saet lêçûn. Ez ê wekî pergala xebitandinê Ubuntu Server 16.04 LTS bikar bînim.
Firewall bi vî rengî hatî mîheng kirin ku her makîneyek bêyî sînor bi hevûdu re têkilî daynin, û tenê navnîşana IPv4 min ji hêla SSH-ê ve di nav komê de tê tomar kirin.
NVMe di rewşa amadebûna xebitandinê de ajot
Ji bo ku ClickHouse bixebite, ez ê li ser her serverek li ser ajokerek NVMe pergalek pelê bi forma EXT4 biafirînim.
$ sudo mkfs -t ext4 /dev/nvme1n1
$ sudo mkdir /ch
$ sudo mount /dev/nvme1n1 /ch
Gava ku her tişt hate mîheng kirin, hûn dikarin xala çiyê û 783 GB cîhê ku li ser her pergalê heye bibînin.
$ 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
Daneya ku ez ê di vê ceribandinê de bikar bînim çopê daneyê ye ku min ji 1.1 mîlyar siwarên taksiyê yên ku di nav şeş salan de li New York City hatine kişandin çêkiriye. Li ser blogê
$ sudo apt update
$ sudo apt install awscli
$ aws configure
Ez ê sînorê daxwaza hevdemî ya xerîdar li 100-ê destnîşan bikim da ku pelan ji mîhengên xwerû zûtir dakêşin.
$ aws configure set
default.s3.max_concurrent_requests
100
Ez ê databasa siwarên taksiyê ji AWS S3 dakêşim û wê li ser ajokerek NVMe ya li ser servera yekem hilînim. Ev danehev ~ 104 GB di formata CSV ya bi GZIP-ê de ye.
$ sudo mkdir -p /ch/csv
$ sudo chown -R ubuntu /ch/csv
$ aws s3 sync s3://<bucket>/csv /ch/csv
Sazkirina ClickHouse
Ez ê belavkirina OpenJDK-ê ji bo Java 8-ê saz bikim ji ber ku ew hewce ye ku Apache ZooKeeper bimeşîne, ku ji bo sazkirina belavkirî ya ClickHouse-ê li ser her sê makîneyan hewce ye.
$ sudo apt update
$ sudo apt install
openjdk-8-jre
openjdk-8-jdk-headless
Dûv re min guherbara jîngehê saz kir JAVA_HOME
.
$ sudo vi /etc/profile
export JAVA_HOME=/usr
$ source /etc/profile
Dûv re ez ê pergala rêveberiya pakêtê ya Ubuntu bikar bînim da ku ClickHouse 18.16.1, glances û ZooKeeper li ser her sê makîneyan saz bikim.
$ 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
Ez ê ji bo ClickHouse pelrêçek biafirînim û di heman demê de li ser her sê pêşkêşkeran hin guheztinên veavakirinê jî bikim.
$ 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
Vana serpêhatiyên veavakirinê ne ku ez ê bikar bînim.
<?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>
Dûv re ez ê ZooKeeper û servera ClickHouse li ser her sê makîneyan bimeşînim.
$ sudo /etc/init.d/zookeeper start
$ sudo service clickhouse-server start
Barkirina daneyan li ClickHouse
Li ser servera yekem ez ê tabloyek rêwîtiyê biafirînim (trips
), ya ku dê bi karanîna motora Têketinê databasek rêwîtiyên taksiyê hilîne.
$ 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;
Dûv re ez her pelên CSV di tabloyek rêwîtiyê de derdixim û bar dikim (trips
). Ya jêrîn di 55 deqîqe û 10 çirkeyan de temam bû. Piştî vê operasyonê, mezinahiya pelrêça daneyê 134 GB bû.
$ 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)
Leza îtxalkirinê 155 MB naveroka CSV-ya nehevkirî serê saniyeyê bû. Ez guman dikim ku ev ji ber tengahiyek di hilweşandina GZIP de bû. Dibe ku bileztir bû ku hûn hemî pelên gzipped bi hev re bi karanîna xargs vekin û dûv re daneyên nezilandî bar bikin. Li jêr danasîna tiştê ku di pêvajoya importa CSV de hate ragihandin heye.
$ 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
Berî ku ez bidomînim, ez ê cîhê li ser ajokera NVMe bi jêbirina pelên CSV yên orîjînal azad bikim.
$ sudo rm -fr /ch/csv
Veguherînin Forma Stûnê
Motora Log ClickHouse dê daneyan bi rengek rêz-oriented hilîne. Ji bo ku daneyên zûtir bipirsin, ez bi karanîna motora MergeTree veguherînim forma stûnê.
$ clickhouse-client --host=0.0.0.0
Ya jêrîn di 34 deqîqe û 50 çirkeyan de temam bû. Piştî vê operasyonê, mezinahiya pelrêça daneyê 237 GB bû.
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;
Di dema operasyonê de derana nerînê ev e:
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)
Di ceribandina paşîn de, çend stûn hatin guhertin û ji nû ve hatin hesibandin. Min dît ku hin ji van fonksiyonan êdî li ser vê databasê wekî ku tê hêvî kirin naxebitin. Ji bo çareserkirina vê pirsgirêkê, min fonksiyonên neguncayî rakirin û daneyan bêyî veguheztina cûreyên granulartir bar kir.
Dabeşkirina daneyan li seranserê komê
Ez ê daneyan li her sê girêkên komê belav bikim. Ji bo destpêkê, li jêr ez ê li ser her sê makîneyan tabloyek biafirînim.
$ 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);
Dûv re ez ê piştrast bikim ku servera yekem dikare her sê girêkên di komê de bibîne.
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:
Dûv re ez ê tabloyek nû li ser servera yekem a ku li ser bingeha şêmê ye diyar bikim trips_mergetree_third
û motora Distributed bikar tîne.
CREATE TABLE trips_mergetree_x3
AS trips_mergetree_third
ENGINE = Distributed(perftest_3shards,
default,
trips_mergetree_third,
rand());
Dûv re ez ê daneyên ji tabloya bingehîn MergeTree li her sê serveran kopî bikim. Ya jêrîn di 34 deqîqe û 44 çirkeyan de temam bû.
INSERT INTO trips_mergetree_x3
SELECT * FROM trips_mergetree;
Piştî operasyona jorîn, min 15 hûrdem da ClickHouse ku ji nîşana asta hilanînê ya herî zêde dûr bikevin. Pelên daneyan li ser her sê serveran bi rêzê 264 GB, 34 GB û 33 GB bi dawî bûn.
Nirxandina performansa komê ya ClickHouse
Tiştê ku min dû re dît dema herî zû bû ku min dît ku her pirsek li ser maseyek gelek caran dimeşîne trips_mergetree_x3
.
$ clickhouse-client --host=0.0.0.0
Ya jêrîn di 2.449 çirke de temam bûye.
SELECT cab_type, count(*)
FROM trips_mergetree_x3
GROUP BY cab_type;
Ya jêrîn di 0.691 çirke de temam bûye.
SELECT passenger_count,
avg(total_amount)
FROM trips_mergetree_x3
GROUP BY passenger_count;
Ya jêrîn di 0 çirkeyan de temam kirin.
SELECT passenger_count,
toYear(pickup_date) AS year,
count(*)
FROM trips_mergetree_x3
GROUP BY passenger_count,
year;
Ya jêrîn di 0.983 çirke de temam bûye.
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;
Ji bo berhevdanê, min heman pirsan li ser tabloyek MergeTree-ya ku bi tenê li ser servera yekem dimîne xebitand.
Nirxandina performansa yek girêka ClickHouse
Tiştê ku min dû re dît dema herî zû bû ku min dît ku her pirsek li ser maseyek gelek caran dimeşîne trips_mergetree_x3
.
Ya jêrîn di 0.241 çirke de temam bûye.
SELECT cab_type, count(*)
FROM trips_mergetree
GROUP BY cab_type;
Ya jêrîn di 0.826 çirke de temam bûye.
SELECT passenger_count,
avg(total_amount)
FROM trips_mergetree
GROUP BY passenger_count;
Ya jêrîn di 1.209 çirke de temam bûye.
SELECT passenger_count,
toYear(pickup_date) AS year,
count(*)
FROM trips_mergetree
GROUP BY passenger_count,
year;
Ya jêrîn di 1.781 çirke de temam bûye.
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;
Refleksiyonên li ser encaman
Ev cara yekem e ku databasek-based CPU-ya belaş karîbû di ceribandinên min de ji databasek-based GPU-yê derkeve. Ew databasa-based GPU ji wê hingê ve di du guhertoyan re derbas bûye, lê performansa ku ClickHouse li ser yek girêkek peyda kir dîsa jî pir bi heybet e.
Di heman demê de, dema ku Query 1-ê li ser motorek belavkirî tête darve kirin, lêçûnên jorîn rêzek mezinahî mezintir in. Ez hêvî dikim ku min di lêkolîna xwe ya ji bo vê postê de tiştek winda kiriye ji ber ku xweş e ku meriv bibînim ku demên pirsê kêm dibin ji ber ku ez bêtir girêkan li komê zêde dikim. Lêbelê, pir xweş e ku dema ku lêpirsinên din têne bicîh kirin, performans bi qasî 2 carî zêde bû.
Dê xweş be ku hûn bibînin ku ClickHouse ber bi pêş ve diçe ku bikaribe hilanînê û hesabkirinê ji hev veqetîne da ku ew bi rengek serbixwe mezin bibin. Piştgiriya HDFS, ku sala borî hate zêdekirin, dikare bibe gavek ber bi vê yekê. Di warê hesabkirinê de, heke pirsek yekane bi lê zêdekirina girêkên din li komê were bilez kirin, wê hingê paşeroja vê nermalavê pir geş e.
Spas dikim ji bo ku we wext wenda kir ji bo xwendina vê postê. Ez ji xerîdarên li Amerîkaya Bakur û Ewropayê re şêwirmendî, mîmarî, û karûbarên pêşkeftinê pêşkêşî dikim. Heke hûn dixwazin nîqaş bikin ka pêşniyarên min çawa dikarin alîkariya karsaziya we bikin, ji kerema xwe bi min re têkilî daynin
Source: www.habr.com