Ukuhunyushwa kwalesi sihloko kulungiselelwe ngokukhethekile abafundi bezifundo .
isizindalwazi sekholamu yomthombo ovulekile. Kuyindawo enhle lapho amakhulu abahlaziyi angabuza ngokushesha idatha enemininingwane, njengoba kufakwa amashumi ezigidigidi zamarekhodi amasha ngosuku. Izindleko zengqalasizinda ukusekela uhlelo olunjalo zingafika ku-$100 ngonyaka, futhi okungenzeka kube yingxenye yalokho kuye ngokusetshenziswa. Ngesinye isikhathi, ukufakwa kwe-ClickHouse okuvela ku-Yandex Metrics kwakuqukethe amarekhodi angu-10 trillion. Ngokungeziwe ku-Yandex, i-ClickHouse nayo ithole impumelelo nge-Bloomberg kanye ne-Cloudflare.
Eminyakeni emibili edlule ngachitha database usebenzisa umshini owodwa, futhi kwaba isoftware yamahhala engake ngayibona. Kusukela lapho, abathuthukisi abakayeki ukwengeza izici, okuhlanganisa ukusekelwa kwe-Kafka, i-HDFS ne-ZStandard compression. Ngonyaka odlule bangeze ukusekelwa kwezindlela zokucindezelwa kwe-cascade, kanye ukufaka amakhodi kungenzeka. Uma ucindezela idatha yochungechunge lwesikhathi, amanani wegeji angacindezelwa kahle kusetshenziswa umbhalo wekhodi we-delta, kodwa ezibalini kungaba ngcono ukusebenzisa umbhalo wekhodi we-delta-by-delta. Ukucindezelwa okuhle sekube ukhiye ekusebenzeni kweClickHouse.
I-ClickHouse iqukethe imigqa eyizinkulungwane eziyi-170 yekhodi ye-C++, ngaphandle kwemitapo yolwazi evela eceleni, futhi ingenye yamakhodi esizindalwazi amancane asabalalisiwe. Uma kuqhathaniswa, i-SQLite ayikusekeli ukusatshalaliswa futhi iqukethe imigqa eyizinkulungwane ezingama-235 yekhodi C. Kusukela kulokhu kubhalwa, onjiniyela abangama-207 babambe iqhaza ku-ClickHouse, futhi ukuqina kokuzibophezela kukhula muva nje.
NgoMashi 2017, i-ClickHouse yaqala ukuqhuba njengendlela elula yokugcina umkhondo wentuthuko. Baphinde baphula ifayela lemibhalo ye-monolithic laba yisigaba samafayela asekelwe ku-Markdown. Izinkinga nezici zilandelelwa nge-GitHub, futhi ngokuvamile isofthiwe isifinyeleleke kakhulu eminyakeni embalwa edlule.
Kulesi sihloko, ngizobheka ukusebenza kweqoqo le-ClickHouse ku-AWS EC2 lisebenzisa ama-36-core processors kanye nesitoreji se-NVMe.
OLUNYE UDABA: Ngemva kwesonto ngishicilele lokhu okuthunyelwe, ngenza kabusha ukuhlolwa ngokucushwa okuthuthukisiwe futhi ngathola imiphumela engcono kakhulu. Lokhu okuthunyelwe kubuyekeziwe ukuze kubonise lezi zinguquko.
Kwethulwa i-AWS EC2 Cluster
Ngizosebenzisa izimo ezintathu ze-c5d.9xlarge EC2 kulokhu okuthunyelwe. Ngayinye yazo iqukethe ama-CPU abonakalayo angu-36, i-72 GB ye-RAM, i-900 GB yesitoreji se-NVMe SSD futhi isekela inethiwekhi ye-Gigabit engu-10. Zibiza u-$1,962/ihora ngayinye esifundeni se-eu-west-1 uma zisebenza ngokufunwa. Ngizobe ngisebenzisa Ubuntu Server 16.04 LTS njengohlelo lokusebenza.
I-firewall ilungiselelwe ukuze umshini ngamunye ukwazi ukuxhumana ngaphandle kwemikhawulo, futhi ikheli lami le-IPv4 kuphela eligunyazwe yi-SSH kuqoqo.
Idrayivu ye-NVMe isesimweni sokulungela ukusebenza
Ukuze i-ClickHouse isebenze, ngizodala isistimu yefayela ngefomethi ye-EXT4 kudrayivu ye-NVMe kuseva ngayinye.
$ sudo mkfs -t ext4 /dev/nvme1n1
$ sudo mkdir /ch
$ sudo mount /dev/nvme1n1 /chUma yonke into isilungisiwe, ungabona iphoyinti lokukhweza kanye nesikhala esingu-783 GB esitholakala kusistimu ngayinye.
$ lsblkNAME 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
ββnvme0n1p1 259:2 0 8G 0 part /
nvme1n1 259:0 0 838.2G 0 disk /ch$ df -hFilesystem 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% /chIdathasethi engizoyisebenzisa kulokhu kuhlolwa iyindawo yokulahlwa yedatha engayithola kusukela ekugibeleni amatekisi ayizigidi eziyizinkulungwane ezingu-1.1 ezithathwe eNew York City phakathi neminyaka eyisithupha. Kubhulogi imininingwane yokuthi ngayiqoqa kanjani le sethi yedatha. Agcinwe ku-AWS S3, ngakho-ke ngizomisa i-AWS CLI ngokufinyelela kwami ββnokhiye abayimfihlo.
$ sudo apt update
$ sudo apt install awscli
$ aws configureNgizomisa umkhawulo wesicelo seklayenti ngesikhathi esisodwa ube ngu-100 ukuze amafayela alande ngokushesha kunezilungiselelo ezizenzakalelayo.
$ aws configure set
default.s3.max_concurrent_requests
100Ngizolanda idathasethi yokugibela amatekisi ku-AWS S3 futhi ngiyigcine kudrayivu ye-NVMe kuseva yokuqala. Le dathasethi ingu-~104GB kufomethi ye-CSV ecindezelwe nge-GZIP.
$ sudo mkdir -p /ch/csv
$ sudo chown -R ubuntu /ch/csv
$ aws s3 sync s3://<bucket>/csv /ch/csvUkufakwa kwe-ClickHouse
Ngizofaka ukusatshalaliswa kwe-OpenJDK ku-Java 8 njengoba idingeka ukuze kusetshenziswe i-Apache ZooKeeper, edingekayo ukuze kufakwe i-ClickHouse esabalaliswe kuyo yomithathu imishini.
$ sudo apt update
$ sudo apt install
openjdk-8-jre
openjdk-8-jdk-headless
Ngabe sengibeka i-variable yemvelo JAVA_HOME.
$ sudo vi /etc/profile
export JAVA_HOME=/usr
$ source /etc/profileNgizobe sengisebenzisa isistimu yokuphatha iphakheji ye-Ubuntu ukufaka i-ClickHouse 18.16.1, ukubuka kanye ne-ZooKeeper kuyo yomithathu imishini.
$ 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
zookeeperdNgizodala uhla lwemibhalo lwe-ClickHouse futhi ngenze okunye ukucushwa okungaphezulu kuwo womathathu amaseva.
$ 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.confLokhu ukuhoxiswa kokucushwa engizobe ngikusebenzisa.
<?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>Ngizobe sengisebenzisa i-ZooKeeper kanye neseva ye-ClickHouse kuyo yomithathu imishini.
$ sudo /etc/init.d/zookeeper start
$ sudo service clickhouse-server startIlayisha idatha ku-ClickHouse
Kuseva yokuqala ngizodala itafula lohambo (trips), ezogcina idathasethi yohambo lwamatekisi kusetshenziswa injini yelogi.
$ 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;
Bese ngikhipha futhi ngilayishe ifayela ngalinye le-CSV kuthebula lohambo (trips). Okulandelayo kuqedwe ngemizuzu engama-55 nemizuzwana eyi-10. Ngemva kwalokhu kusebenza, usayizi wohlu lwedatha wawungu-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)Isivinini sokungenisa sasingu-155 MB wokuqukethwe kwe-CSV engacindezelwanga ngomzuzwana. Ngisola ukuthi lokhu bekungenxa yebhodlela ekuwohlokeni kwe-GZIP. Kungase kube ngokushesha ukuvula wonke amafayela e-gzip ngokuhambisana usebenzisa i-xargs bese ulayisha idatha engavaliwe. Ngezansi kunencazelo yalokho okubikwe ngesikhathi senqubo yokungenisa ye-CSV.
$ sudo glancesip-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/23:1HNgizokhulula isikhala kudrayivu ye-NVMe ngokususa amafayela e-CSV asekuqaleni ngaphambi kokuqhubeka.
$ sudo rm -fr /ch/csvGuqula ibe Ifomu Lekholomu
Injini ye-Log ClickHouse izogcina idatha ngefomethi egxile kumugqa. Ukuze ngibuze idatha ngokushesha, ngiyiguqulela kufomethi yekholomu ngisebenzisa injini ye-MergeTree.
$ clickhouse-client --host=0.0.0.0Okulandelayo kuqedwe ngemizuzu engama-34 nemizuzwana engama-50. Ngemva kwalokhu kusebenza, usayizi wohlu lwedatha wawungu-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;Yilokhu okukhiphayo kokubheka kwakubukeka kanjani ngesikhathi sokusebenza:
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)Esivivinyweni sokugcina, amakholomu amaningana aguqulwa futhi abalwa kabusha. Ngithole ukuthi eminye yale misebenzi ayisasebenzi njengoba bekulindelekile kule dathasethi. Ukuxazulula le nkinga, ngisuse imisebenzi engalungile futhi ngalayisha idatha ngaphandle kokuguqulela ezinhlotsheni eziningi ze-granular.
Ukusatshalaliswa kwedatha kulo lonke iqoqo
Ngizosabalalisa idatha kuwo wonke ama-cluster node amathathu. Ukuqala, ngezansi ngizodala itafula kuyo yomithathu imishini.
$ clickhouse-client --host=0.0.0.0CREATE 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);Khona-ke ngizoqinisekisa ukuthi iseva yokuqala ingabona wonke ama-node amathathu kuqoqo.
SELECT *
FROM system.clusters
WHERE cluster = 'perftest_3shards'
FORMAT Vertical;Row 1:
ββββββ
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:
ββββββ
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:
ββββββ
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:
Ngemuva kwalokho ngizochaza ithebula elisha kuseva yokuqala elisuselwa ku-schema trips_mergetree_third futhi isebenzisa injini Esabalalisiwe.
CREATE TABLE trips_mergetree_x3
AS trips_mergetree_third
ENGINE = Distributed(perftest_3shards,
default,
trips_mergetree_third,
rand());Ngizobe sengikopisha idatha kusuka kuthebula elisekelwe ku-MergeTree kuwo wonke amaseva amathathu. Okulandelayo kuqedwe ngemizuzu engama-34 nemizuzwana engama-44.
INSERT INTO trips_mergetree_x3
SELECT * FROM trips_mergetree;Ngemuva kokusebenza okungenhla, nginikeze i-ClickHouse imizuzu eyi-15 ukuthi isuke kumaki wezinga eliphezulu lokulondoloza. Izikhombisi zedatha zigcine ziyi-264 GB, 34 GB kanye ne-33 GB ngokulandelanayo kuseva ngayinye kulezi ezintathu.
Ukuhlolwa kokusebenza kweqoqo le-ClickHouse
Engakubona ngokulandelayo kwaba isikhathi esishesha kakhulu engasibona sisebenzisa umbuzo ngamunye etafuleni izikhathi eziningi trips_mergetree_x3.
$ clickhouse-client --host=0.0.0.0Okulandelayo kuqedelwe ngamasekhondi angu-2.449.
SELECT cab_type, count(*)
FROM trips_mergetree_x3
GROUP BY cab_type;Okulandelayo kuqedelwe ngamasekhondi angu-0.691.
SELECT passenger_count,
avg(total_amount)
FROM trips_mergetree_x3
GROUP BY passenger_count;Okulandelayo kuqedwe ngemizuzwana engu-0.
SELECT passenger_count,
toYear(pickup_date) AS year,
count(*)
FROM trips_mergetree_x3
GROUP BY passenger_count,
year;Okulandelayo kuqedelwe ngamasekhondi angu-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;Ukuze uqhathanise, ngiphendule imibuzo efanayo kuthebula elisekelwe ku-MergeTree elihlala kuseva yokuqala kuphela.
Ukuhlolwa kokusebenza kwenodi eyodwa ye-ClickHouse
Engakubona ngokulandelayo kwaba isikhathi esishesha kakhulu engasibona sisebenzisa umbuzo ngamunye etafuleni izikhathi eziningi trips_mergetree_x3.
Okulandelayo kuqedelwe ngamasekhondi angu-0.241.
SELECT cab_type, count(*)
FROM trips_mergetree
GROUP BY cab_type;Okulandelayo kuqedelwe ngamasekhondi angu-0.826.
SELECT passenger_count,
avg(total_amount)
FROM trips_mergetree
GROUP BY passenger_count;Okulandelayo kuqedelwe ngamasekhondi angu-1.209.
SELECT passenger_count,
toYear(pickup_date) AS year,
count(*)
FROM trips_mergetree
GROUP BY passenger_count,
year;Okulandelayo kuqedelwe ngamasekhondi angu-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;Ukucabanga ngemiphumela
Kungokokuqala ngqa ukuthi isizindalwazi samahhala esisekelwe kwi-CPU sikwazi ukwedlula isizindalwazi esisekelwe ku-GPU ekuhlolweni kwami. Leyo datha esekelwe ku-GPU idlule ezibuyekezweni ezimbili kusukela lapho, kodwa ukusebenza okulethwa yi-ClickHouse endaweni eyodwa nokho kuhlaba umxhwele kakhulu.
Ngesikhathi esifanayo, lapho usebenzisa Umbuzo 1 enjinini esabalalisiwe, izindleko eziphezulu ziyi-oda lobukhulu obuphezulu. Ngethemba ukuthi ngiphuthelwe okuthile ocwaningweni lwami lwalokhu okuthunyelwe ngoba kungaba kuhle ukubona izikhathi zemibuzo zehla njengoba ngengeza amanye ama-node kuqoqo. Nokho, kuhle ukuthi lapho kwenziwa eminye imibuzo, ukusebenza kukhuphuke cishe izikhathi ezi-2.
Kungaba kuhle ukubona i-ClickHouse iguqukela ekukwazini ukuhlukanisa isitoreji nokubala ukuze bakwazi ukukala ngokuzimela. Ukwesekwa kwe-HDFS, okwengezwe ngonyaka odlule, kungase kube isinyathelo esibheke kulokhu. Mayelana ne-computing, uma umbuzo owodwa ungasheshiswa ngokungeza ama-node amaningi kuqoqo, khona-ke ikusasa lale software likhanya kakhulu.
Siyabonga ngokuzinika isikhathi sokufunda lokhu okuthunyelwe. Nginikezela ngezinsizakalo zokubonisana, ezokwakha, nezokuthuthukisa ukuzijwayeza kumakhasimende aseNyakatho Melika naseYurophu. Uma ungathanda ukuxoxa ngokuthi iziphakamiso zami zingalisiza kanjani ibhizinisi lakho, ngicela ungithinte nge .
Source: www.habr.com