thevar1able/ClickHouse
1
0
Fork 0
mirror of https://github.com/ClickHouse/ClickHouse.git synced 2024-09-19 16:20:50 +00:00
Code Issues Packages Projects Releases Wiki Activity

.tech -> .com

Browse Source
This commit is contained in:
Alexey Milovidov 2021-09-22 03:22:57 +03:00
parent 4ade6cc5da
commit e9e77b4403
181 changed files with 1194 additions and 1194 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
CHANGELOG.md
View File

@ -1356,7 +1356,7 @@
* Export current max ddl entry executed by DDLWorker via server metric. It's useful to check if DDLWorker hangs somewhere. [#17464](https://github.com/ClickHouse/ClickHouse/pull/17464) ([Amos Bird](https://github.com/amosbird)).
* Export asynchronous metrics of all servers current threads. It's useful to track down issues like [this](https://github.com/ClickHouse-Extras/poco/pull/28). [#17463](https://github.com/ClickHouse/ClickHouse/pull/17463) ([Amos Bird](https://github.com/amosbird)).
* Include dynamic columns like MATERIALIZED / ALIAS for wildcard query when settings `asterisk_include_materialized_columns` and `asterisk_include_alias_columns` are turned on. [#17462](https://github.com/ClickHouse/ClickHouse/pull/17462) ([Ken Chen](https://github.com/chenziliang)).
* Allow specifying [TTL](https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/mergetree/#mergetree-table-ttl) to remove old entries from [system log tables](https://clickhouse.tech/docs/en/operations/system-tables/), using the `<ttl>` attribute in `config.xml`. [#17438](https://github.com/ClickHouse/ClickHouse/pull/17438) ([Du Chuan](https://github.com/spongedu)).
* Allow specifying [TTL](https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree/#mergetree-table-ttl) to remove old entries from [system log tables](https://clickhouse.com/docs/en/operations/system-tables/), using the `<ttl>` attribute in `config.xml`. [#17438](https://github.com/ClickHouse/ClickHouse/pull/17438) ([Du Chuan](https://github.com/spongedu)).
* Now queries coming to the server via MySQL and PostgreSQL protocols have distinctive interface types (which can be seen in the `interface` column of the table`system.query_log`): `4` for MySQL, and `5` for PostgreSQL, instead of formerly used `1` which is now used for the native protocol only. [#17437](https://github.com/ClickHouse/ClickHouse/pull/17437) ([Vitaly Baranov](https://github.com/vitlibar)).
* Fix parsing of SETTINGS clause of the `INSERT ... SELECT ... SETTINGS` query. [#17414](https://github.com/ClickHouse/ClickHouse/pull/17414) ([Azat Khuzhin](https://github.com/azat)).
* Correctly account memory in RadixSort. [#17412](https://github.com/ClickHouse/ClickHouse/pull/17412) ([Nikita Mikhaylov](https://github.com/nikitamikhaylov)).

2
CONTRIBUTING.md
View File

@ -6,7 +6,7 @@ Thank you.
## Technical Info
We have a [developer's guide](https://clickhouse.tech/docs/en/development/developer_instruction/) for writing code for ClickHouse. Besides this guide, you can find [Overview of ClickHouse Architecture](https://clickhouse.tech/docs/en/development/architecture/) and instructions on how to build ClickHouse in different environments.
We have a [developer's guide](https://clickhouse.com/docs/en/development/developer_instruction/) for writing code for ClickHouse. Besides this guide, you can find [Overview of ClickHouse Architecture](https://clickhouse.com/docs/en/development/architecture/) and instructions on how to build ClickHouse in different environments.
If you want to contribute to documentation, read the [Contributing to ClickHouse Documentation](docs/README.md) guide.

14
README.md
View File

@ -1,14 +1,14 @@
[![ClickHouse — open source distributed column-oriented DBMS](https://github.com/ClickHouse/ClickHouse/raw/master/website/images/logo-400x240.png)](https://clickhouse.tech)
[![ClickHouse — open source distributed column-oriented DBMS](https://github.com/ClickHouse/ClickHouse/raw/master/website/images/logo-400x240.png)](https://clickhouse.com)
ClickHouse® is an open-source column-oriented database management system that allows generating analytical data reports in real time.
## Useful Links
* [Official website](https://clickhouse.tech/) has quick high-level overview of ClickHouse on main page.
* [Tutorial](https://clickhouse.tech/docs/en/getting_started/tutorial/) shows how to set up and query small ClickHouse cluster.
* [Documentation](https://clickhouse.tech/docs/en/) provides more in-depth information.
* [Official website](https://clickhouse.com/) has quick high-level overview of ClickHouse on main page.
* [Tutorial](https://clickhouse.com/docs/en/getting_started/tutorial/) shows how to set up and query small ClickHouse cluster.
* [Documentation](https://clickhouse.com/docs/en/) provides more in-depth information.
* [YouTube channel](https://www.youtube.com/c/ClickHouseDB) has a lot of content about ClickHouse in video format.
* [Slack](https://join.slack.com/t/clickhousedb/shared_invite/zt-rxm3rdrk-lIUmhLC3V8WTaL0TGxsOmg) and [Telegram](https://telegram.me/clickhouse_en) allow to chat with ClickHouse users in real-time.
* [Blog](https://clickhouse.tech/blog/en/) contains various ClickHouse-related articles, as well as announcements and reports about events.
* [Code Browser](https://clickhouse.tech/codebrowser/html_report/ClickHouse/index.html) with syntax highlight and navigation.
* [Contacts](https://clickhouse.tech/#contacts) can help to get your questions answered if there are any.
* [Blog](https://clickhouse.com/blog/en/) contains various ClickHouse-related articles, as well as announcements and reports about events.
* [Code Browser](https://clickhouse.com/codebrowser/html_report/ClickHouse/index.html) with syntax highlight and navigation.
* [Contacts](https://clickhouse.com/#contacts) can help to get your questions answered if there are any.

2
SECURITY.md
View File

@ -1,7 +1,7 @@
# Security Policy
## Security Announcements
Security fixes will be announced by posting them in the [security changelog](https://clickhouse.tech/docs/en/whats-new/security-changelog/)
Security fixes will be announced by posting them in the [security changelog](https://clickhouse.com/docs/en/whats-new/security-changelog/)
## Scope and Supported Versions

4
benchmark/hardware.sh
View File

@ -11,8 +11,8 @@ DATASET="${TABLE}_v1.tar.xz"
QUERIES_FILE="queries.sql"
TRIES=3
AMD64_BIN_URL="https://builds.clickhouse.tech/master/amd64/clickhouse"
AARCH64_BIN_URL="https://builds.clickhouse.tech/master/aarch64/clickhouse"
AMD64_BIN_URL="https://builds.clickhouse.com/master/amd64/clickhouse"
AARCH64_BIN_URL="https://builds.clickhouse.com/master/aarch64/clickhouse"
# Note: on older Ubuntu versions, 'axel' does not support IPv6. If you are using IPv6-only servers on very old Ubuntu, just don't install 'axel'.

2
benchmark/monetdb/instruction.md
View File

@ -179,7 +179,7 @@ CREATE TABLE hits
# How to prepare data
Download the 100 million rows dataset from here and insert into ClickHouse:
https://clickhouse.tech/docs/en/getting-started/example-datasets/metrica/
https://clickhouse.com/docs/en/getting-started/example-datasets/metrica/
Create the dataset from ClickHouse:

2
benchmark/omnisci/instruction.md
View File

@ -38,7 +38,7 @@ https://github.com/omnisci/omniscidb/issues?q=is%3Aissue+author%3Aalexey-milovid
# How to prepare data
Download the 100 million rows dataset from here and insert into ClickHouse:
https://clickhouse.tech/docs/en/getting-started/example-datasets/metrica/
https://clickhouse.com/docs/en/getting-started/example-datasets/metrica/
Convert the CREATE TABLE query:

2
docker/bare/prepare
View File

@ -6,7 +6,7 @@ SRC_DIR=../..
BUILD_DIR=${SRC_DIR}/build
# BTW, .so files are acceptable from any Linux distribution for the last 12 years (at least).
# See https://presentations.clickhouse.tech/cpp_russia_2020/ for the details.
# See https://presentations.clickhouse.com/cpp_russia_2020/ for the details.
mkdir root
pushd root

2
docker/client/Dockerfile
View File

@ -1,6 +1,6 @@
FROM ubuntu:18.04
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
ARG repository="deb https://repo.clickhouse.com/deb/stable/ main/"
ARG version=21.11.1.*
RUN sed -i 's|http://archive|http://ru.archive|g' /etc/apt/sources.list

4
docker/server/Dockerfile
View File

@ -1,6 +1,6 @@
FROM ubuntu:20.04
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
ARG repository="deb https://repo.clickhouse.com/deb/stable/ main/"
ARG version=21.11.1.*
ARG gosu_ver=1.10
@ -12,7 +12,7 @@ ARG deb_location_url=""
# set non-empty single_binary_location_url to create docker image
# from a single binary url (useful for non-standard builds - with sanitizers, for arm64).
# for example (run on aarch64 server):
# docker build . --network host --build-arg single_binary_location_url="https://builds.clickhouse.tech/master/aarch64/clickhouse" -t altinity/clickhouse-server:master-testing-arm
# docker build . --network host --build-arg single_binary_location_url="https://builds.clickhouse.com/master/aarch64/clickhouse" -t altinity/clickhouse-server:master-testing-arm
# note: clickhouse-odbc-bridge is not supported there.
ARG single_binary_location_url=""

10
docker/server/README.md
View File

@ -6,7 +6,7 @@ ClickHouse is an open-source column-oriented database management system that all
ClickHouse manages extremely large volumes of data in a stable and sustainable manner. It currently powers [Yandex.Metrica](https://metrica.yandex.com/), world’s [second largest](http://w3techs.com/technologies/overview/traffic_analysis/all) web analytics platform, with over 13 trillion database records and over 20 billion events a day, generating customized reports on-the-fly, directly from non-aggregated data. This system was successfully implemented at [CERN’s LHCb experiment](https://www.yandex.com/company/press_center/press_releases/2012/2012-04-10/) to store and process metadata on 10bn events with over 1000 attributes per event registered in 2011.
For more information and documentation see https://clickhouse.tech/.
For more information and documentation see https://clickhouse.com/.
## How to use this image
@ -22,14 +22,14 @@ By default ClickHouse will be accessible only via docker network. See the [netwo
$ docker run -it --rm --link some-clickhouse-server:clickhouse-server clickhouse/clickhouse-client --host clickhouse-server
```
More information about [ClickHouse client](https://clickhouse.tech/docs/en/interfaces/cli/).
More information about [ClickHouse client](https://clickhouse.com/docs/en/interfaces/cli/).
### connect to it using curl
```bash
echo "SELECT 'Hello, ClickHouse!'" | docker run -i --rm --link some-clickhouse-server:clickhouse-server curlimages/curl 'http://clickhouse-server:8123/?query=' -s --data-binary @-
```
More information about [ClickHouse HTTP Interface](https://clickhouse.tech/docs/en/interfaces/http/).
More information about [ClickHouse HTTP Interface](https://clickhouse.com/docs/en/interfaces/http/).
### stopping / removing the containter
@ -90,9 +90,9 @@ $ docker run -d \
## Configuration
Container exposes 8123 port for [HTTP interface](https://clickhouse.tech/docs/en/interfaces/http_interface/) and 9000 port for [native client](https://clickhouse.tech/docs/en/interfaces/tcp/).
Container exposes 8123 port for [HTTP interface](https://clickhouse.com/docs/en/interfaces/http_interface/) and 9000 port for [native client](https://clickhouse.com/docs/en/interfaces/tcp/).
ClickHouse configuration represented with a file "config.xml" ([documentation](https://clickhouse.tech/docs/en/operations/configuration_files/))
ClickHouse configuration represented with a file "config.xml" ([documentation](https://clickhouse.com/docs/en/operations/configuration_files/))
### Start server instance with custom configuration
```bash

2
docker/server/entrypoint.sh
View File

@ -87,7 +87,7 @@ if [ -n "$CLICKHOUSE_USER" ] && [ "$CLICKHOUSE_USER" != "default" ] || [ -n "$CL
echo "$0: create new user '$CLICKHOUSE_USER' instead 'default'"
cat <<EOT > /etc/clickhouse-server/users.d/default-user.xml
<yandex>
<!-- Docs: <https://clickhouse.tech/docs/en/operations/settings/settings_users/> -->
<!-- Docs: <https://clickhouse.com/docs/en/operations/settings/settings_users/> -->
<users>
<!-- Remove default user -->
<default remove="remove">

2
docker/test/Dockerfile
View File

@ -1,6 +1,6 @@
FROM ubuntu:18.04
ARG repository="deb https://repo.clickhouse.tech/deb/stable/ main/"
ARG repository="deb https://repo.clickhouse.com/deb/stable/ main/"
ARG version=21.11.1.*
RUN apt-get update && \

6
docker/test/performance-comparison/compare-releases.sh
View File

@ -21,9 +21,9 @@ function download_package() # (version, path)
version="$1"
path="$2"
cd "$path"
wget -nv -nd -nc "https://repo.clickhouse.tech/deb/stable/main/clickhouse-common-static-dbg_${version}_amd64.deb" ||:
wget -nv -nd -nc "https://repo.clickhouse.tech/deb/stable/main/clickhouse-common-static_${version}_amd64.deb" ||:
wget -nv -nd -nc "https://repo.clickhouse.tech/deb/stable/main/clickhouse-test_${version}_all.deb" ||:
wget -nv -nd -nc "https://repo.clickhouse.com/deb/stable/main/clickhouse-common-static-dbg_${version}_amd64.deb" ||:
wget -nv -nd -nc "https://repo.clickhouse.com/deb/stable/main/clickhouse-common-static_${version}_amd64.deb" ||:
wget -nv -nd -nc "https://repo.clickhouse.com/deb/stable/main/clickhouse-test_${version}_all.deb" ||:
mkdir tmp ||:
for x in *.deb; do dpkg-deb -x "$x" tmp ; done
mv tmp/usr/bin/clickhouse ./clickhouse

2
docs/_includes/install/arm.sh
View File

@ -1,6 +1,6 @@
# ARM (AArch64) build works on Amazon Graviton, Oracle Cloud, Huawei Cloud ARM machines.
# The support for AArch64 is pre-production ready.
wget 'https://builds.clickhouse.tech/master/aarch64/clickhouse'
wget 'https://builds.clickhouse.com/master/aarch64/clickhouse'
chmod a+x ./clickhouse
sudo ./clickhouse install

2
docs/_includes/install/deb.sh
View File

@ -1,7 +1,7 @@
sudo apt-get install apt-transport-https ca-certificates dirmngr
sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv E0C56BD4
echo "deb https://repo.clickhouse.tech/deb/stable/ main/" | sudo tee \
echo "deb https://repo.clickhouse.com/deb/stable/ main/" | sudo tee \
/etc/apt/sources.list.d/clickhouse.list
sudo apt-get update

2
docs/_includes/install/freebsd.sh
View File

@ -1,3 +1,3 @@
wget 'https://builds.clickhouse.tech/master/freebsd/clickhouse'
wget 'https://builds.clickhouse.com/master/freebsd/clickhouse'
chmod a+x ./clickhouse
sudo ./clickhouse install

2
docs/_includes/install/mac-arm.sh
View File

@ -1,3 +1,3 @@
wget 'https://builds.clickhouse.tech/master/macos-aarch64/clickhouse'
wget 'https://builds.clickhouse.com/master/macos-aarch64/clickhouse'
chmod a+x ./clickhouse
./clickhouse

2
docs/_includes/install/mac-x86.sh
View File

@ -1,3 +1,3 @@
wget 'https://builds.clickhouse.tech/master/macos/clickhouse'
wget 'https://builds.clickhouse.com/master/macos/clickhouse'
chmod a+x ./clickhouse
./clickhouse

4
docs/_includes/install/rpm.sh
View File

@ -1,6 +1,6 @@
sudo yum install yum-utils
sudo rpm --import https://repo.clickhouse.tech/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.tech/rpm/clickhouse.repo
sudo rpm --import https://repo.clickhouse.com/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.com/rpm/clickhouse.repo
sudo yum install clickhouse-server clickhouse-client
sudo /etc/init.d/clickhouse-server start

10
docs/_includes/install/tgz.sh
View File

@ -1,9 +1,9 @@
export LATEST_VERSION=$(curl -s https://repo.clickhouse.tech/tgz/stable/ | \
export LATEST_VERSION=$(curl -s https://repo.clickhouse.com/tgz/stable/ | \
grep -Eo '[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+' | sort -V -r | head -n 1)
curl -O https://repo.clickhouse.tech/tgz/stable/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/stable/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/stable/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/stable/clickhouse-client-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/stable/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/stable/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/stable/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/stable/clickhouse-client-$LATEST_VERSION.tgz
tar -xzvf clickhouse-common-static-$LATEST_VERSION.tgz
sudo clickhouse-common-static-$LATEST_VERSION/install/doinst.sh

2
docs/en/development/contrib.md
View File

@ -91,7 +91,7 @@ The list of third-party libraries can be obtained by the following query:
SELECT library_name, license_type, license_path FROM system.licenses ORDER BY library_name COLLATE 'en';
```
[Example](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUIGxpYnJhcnlfbmFtZSwgbGljZW5zZV90eXBlLCBsaWNlbnNlX3BhdGggRlJPTSBzeXN0ZW0ubGljZW5zZXMgT1JERVIgQlkgbGlicmFyeV9uYW1lIENPTExBVEUgJ2VuJw==)
[Example](https://gh-api.clickhouse.com/play?user=play#U0VMRUNUIGxpYnJhcnlfbmFtZSwgbGljZW5zZV90eXBlLCBsaWNlbnNlX3BhdGggRlJPTSBzeXN0ZW0ubGljZW5zZXMgT1JERVIgQlkgbGlicmFyeV9uYW1lIENPTExBVEUgJ2VuJw==)
## Guidelines for adding new third-party libraries and maintaining custom changes in them {#adding-third-party-libraries}

4
docs/en/development/developer-instruction.md
View File

@ -249,8 +249,8 @@ Developing ClickHouse often requires loading realistic datasets. It is particula
sudo apt install wget xz-utils
wget https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz
wget https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz
wget https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz
wget https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz
xz -v -d hits_v1.tsv.xz
xz -v -d visits_v1.tsv.xz

4
docs/en/getting-started/example-datasets/brown-benchmark.md
View File

@ -9,7 +9,7 @@ toc_title: Brown University Benchmark
Download the data:
```
wget https://datasets.clickhouse.tech/mgbench{1..3}.csv.xz
wget https://datasets.clickhouse.com/mgbench{1..3}.csv.xz
```
Unpack the data:
@ -411,6 +411,6 @@ ORDER BY yr,
mo;
```
The data is also available for interactive queries in the [Playground](https://gh-api.clickhouse.tech/play?user=play), [example](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUIG1hY2hpbmVfbmFtZSwKICAgICAgIE1JTihjcHUpIEFTIGNwdV9taW4sCiAgICAgICBNQVgoY3B1KSBBUyBjcHVfbWF4LAogICAgICAgQVZHKGNwdSkgQVMgY3B1X2F2ZywKICAgICAgIE1JTihuZXRfaW4pIEFTIG5ldF9pbl9taW4sCiAgICAgICBNQVgobmV0X2luKSBBUyBuZXRfaW5fbWF4LAogICAgICAgQVZHKG5ldF9pbikgQVMgbmV0X2luX2F2ZywKICAgICAgIE1JTihuZXRfb3V0KSBBUyBuZXRfb3V0X21pbiwKICAgICAgIE1BWChuZXRfb3V0KSBBUyBuZXRfb3V0X21heCwKICAgICAgIEFWRyhuZXRfb3V0KSBBUyBuZXRfb3V0X2F2ZwpGUk9NICgKICBTRUxFQ1QgbWFjaGluZV9uYW1lLAogICAgICAgICBDT0FMRVNDRShjcHVfdXNlciwgMC4wKSBBUyBjcHUsCiAgICAgICAgIENPQUxFU0NFKGJ5dGVzX2luLCAwLjApIEFTIG5ldF9pbiwKICAgICAgICAgQ09BTEVTQ0UoYnl0ZXNfb3V0LCAwLjApIEFTIG5ldF9vdXQKICBGUk9NIG1nYmVuY2gubG9nczEKICBXSEVSRSBtYWNoaW5lX25hbWUgSU4gKCdhbmFuc2knLCdhcmFnb2cnLCd1cmQnKQogICAgQU5EIGxvZ190aW1lID49IFRJTUVTVEFNUCAnMjAxNy0wMS0xMSAwMDowMDowMCcKKSBBUyByCkdST1VQIEJZIG1hY2hpbmVfbmFtZQ==).
The data is also available for interactive queries in the [Playground](https://gh-api.clickhouse.com/play?user=play), [example](https://gh-api.clickhouse.com/play?user=play#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).
[Original article](https://clickhouse.com/docs/en/getting_started/example_datasets/brown-benchmark/) <!--hide-->

4
docs/en/getting-started/example-datasets/cell-towers.md
View File

@ -14,7 +14,7 @@ OpenCelliD Project is licensed under a Creative Commons Attribution-ShareAlike 4
## Get the Dataset {#get-the-dataset}
1. Download the snapshot of the dataset from February 2021: [https://datasets.clickhouse.tech/cell_towers.csv.xz] (729 MB).
1. Download the snapshot of the dataset from February 2021: [https://datasets.clickhouse.com/cell_towers.csv.xz] (729 MB).
2. Validate the integrity (optional step):
```
@ -127,6 +127,6 @@ SELECT count() FROM cell_towers WHERE pointInPolygon((lon, lat), (SELECT * FROM
1 rows in set. Elapsed: 0.067 sec. Processed 43.28 million rows, 692.42 MB (645.83 million rows/s., 10.33 GB/s.)
```
The data is also available for interactive queries in the [Playground](https://gh-api.clickhouse.tech/play?user=play), [example](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUIG1jYywgY291bnQoKSBGUk9NIGNlbGxfdG93ZXJzIEdST1VQIEJZIG1jYyBPUkRFUiBCWSBjb3VudCgpIERFU0M=).
The data is also available for interactive queries in the [Playground](https://gh-api.clickhouse.com/play?user=play), [example](https://gh-api.clickhouse.com/play?user=play#U0VMRUNUIG1jYywgY291bnQoKSBGUk9NIGNlbGxfdG93ZXJzIEdST1VQIEJZIG1jYyBPUkRFUiBCWSBjb3VudCgpIERFU0M=).
Although you cannot create temporary tables there.

2
docs/en/getting-started/example-datasets/menus.md
View File

@ -321,4 +321,4 @@ At least they have caviar with vodka. Very nice.
### Test it in Playground
The data is uploaded to ClickHouse Playground, [example](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUCiAgICByb3VuZCh0b1VJbnQzMk9yWmVybyhleHRyYWN0KG1lbnVfZGF0ZSwgJ15cXGR7NH0nKSksIC0xKSBBUyBkLAogICAgY291bnQoKSwKICAgIHJvdW5kKGF2ZyhwcmljZSksIDIpLAogICAgYmFyKGF2ZyhwcmljZSksIDAsIDUwLCAxMDApLAogICAgYW55KGRpc2hfbmFtZSkKRlJPTSBtZW51X2l0ZW1fZGVub3JtCldIRVJFIChtZW51X2N1cnJlbmN5IElOICgnRG9sbGFycycsICcnKSkgQU5EIChkID4gMCkgQU5EIChkIDwgMjAyMikgQU5EIChkaXNoX25hbWUgSUxJS0UgJyVjYXZpYXIlJykKR1JPVVAgQlkgZApPUkRFUiBCWSBkIEFTQw==).
The data is uploaded to ClickHouse Playground, [example](https://gh-api.clickhouse.com/play?user=play#U0VMRUNUCiAgICByb3VuZCh0b1VJbnQzMk9yWmVybyhleHRyYWN0KG1lbnVfZGF0ZSwgJ15cXGR7NH0nKSksIC0xKSBBUyBkLAogICAgY291bnQoKSwKICAgIHJvdW5kKGF2ZyhwcmljZSksIDIpLAogICAgYmFyKGF2ZyhwcmljZSksIDAsIDUwLCAxMDApLAogICAgYW55KGRpc2hfbmFtZSkKRlJPTSBtZW51X2l0ZW1fZGVub3JtCldIRVJFIChtZW51X2N1cnJlbmN5IElOICgnRG9sbGFycycsICcnKSkgQU5EIChkID4gMCkgQU5EIChkIDwgMjAyMikgQU5EIChkaXNoX25hbWUgSUxJS0UgJyVjYXZpYXIlJykKR1JPVVAgQlkgZApPUkRFUiBCWSBkIEFTQw==).

10
docs/en/getting-started/example-datasets/metrica.md
View File

@ -7,14 +7,14 @@ toc_title: Yandex.Metrica Data
Dataset consists of two tables containing anonymized data about hits (`hits_v1`) and visits (`visits_v1`) of Yandex.Metrica. You can read more about Yandex.Metrica in [ClickHouse history](../../introduction/history.md) section.
The dataset consists of two tables, either of them can be downloaded as a compressed `tsv.xz` file or as prepared partitions. In addition to that, an extended version of the `hits` table containing 100 million rows is available as TSV at https://datasets.clickhouse.tech/hits/tsv/hits_100m_obfuscated_v1.tsv.xz and as prepared partitions at https://datasets.clickhouse.tech/hits/partitions/hits_100m_obfuscated_v1.tar.xz.
The dataset consists of two tables, either of them can be downloaded as a compressed `tsv.xz` file or as prepared partitions. In addition to that, an extended version of the `hits` table containing 100 million rows is available as TSV at https://datasets.clickhouse.com/hits/tsv/hits_100m_obfuscated_v1.tsv.xz and as prepared partitions at https://datasets.clickhouse.com/hits/partitions/hits_100m_obfuscated_v1.tar.xz.
## Obtaining Tables from Prepared Partitions {#obtaining-tables-from-prepared-partitions}
Download and import hits table:
``` bash
curl -O https://datasets.clickhouse.tech/hits/partitions/hits_v1.tar
curl -O https://datasets.clickhouse.com/hits/partitions/hits_v1.tar
tar xvf hits_v1.tar -C /var/lib/clickhouse # path to ClickHouse data directory
# check permissions on unpacked data, fix if required
sudo service clickhouse-server restart
@ -24,7 +24,7 @@ clickhouse-client --query "SELECT COUNT(*) FROM datasets.hits_v1"
Download and import visits:
``` bash
curl -O https://datasets.clickhouse.tech/visits/partitions/visits_v1.tar
curl -O https://datasets.clickhouse.com/visits/partitions/visits_v1.tar
tar xvf visits_v1.tar -C /var/lib/clickhouse # path to ClickHouse data directory
# check permissions on unpacked data, fix if required
sudo service clickhouse-server restart
@ -36,7 +36,7 @@ clickhouse-client --query "SELECT COUNT(*) FROM datasets.visits_v1"
Download and import hits from compressed TSV file:
``` bash
curl https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
# Validate the checksum
md5sum hits_v1.tsv
# Checksum should be equal to: f3631b6295bf06989c1437491f7592cb
@ -53,7 +53,7 @@ clickhouse-client --query "SELECT COUNT(*) FROM datasets.hits_v1"
Download and import visits from compressed tsv-file:
``` bash
curl https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
curl https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
# Validate the checksum
md5sum visits_v1.tsv
# Checksum should be equal to: 6dafe1a0f24e59e3fc2d0fed85601de6

2
docs/en/getting-started/example-datasets/nyc-taxi.md
View File

@ -283,7 +283,7 @@ Among other things, you can run the OPTIMIZE query on MergeTree. But it’s not
## Download of Prepared Partitions {#download-of-prepared-partitions}
``` bash
$ curl -O https://datasets.clickhouse.tech/trips_mergetree/partitions/trips_mergetree.tar
$ curl -O https://datasets.clickhouse.com/trips_mergetree/partitions/trips_mergetree.tar
$ tar xvf trips_mergetree.tar -C /var/lib/clickhouse # path to ClickHouse data directory
$ # check permissions of unpacked data, fix if required
$ sudo service clickhouse-server restart

4
docs/en/getting-started/example-datasets/ontime.md
View File

@ -149,7 +149,7 @@ ls -1 *.zip | xargs -I{} -P $(nproc) bash -c "echo {}; unzip -cq {} '*.csv' | se
## Download of Prepared Partitions {#download-of-prepared-partitions}
``` bash
$ curl -O https://datasets.clickhouse.tech/ontime/partitions/ontime.tar
$ curl -O https://datasets.clickhouse.com/ontime/partitions/ontime.tar
$ tar xvf ontime.tar -C /var/lib/clickhouse # path to ClickHouse data directory
$ # check permissions of unpacked data, fix if required
$ sudo service clickhouse-server restart
@ -393,7 +393,7 @@ ORDER BY c DESC
LIMIT 10;
```
You can also play with the data in Playground, [example](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUIERheU9mV2VlaywgY291bnQoKikgQVMgYwpGUk9NIG9udGltZQpXSEVSRSBZZWFyPj0yMDAwIEFORCBZZWFyPD0yMDA4CkdST1VQIEJZIERheU9mV2VlawpPUkRFUiBCWSBjIERFU0M7Cg==).
You can also play with the data in Playground, [example](https://gh-api.clickhouse.com/play?user=play#U0VMRUNUIERheU9mV2VlaywgY291bnQoKikgQVMgYwpGUk9NIG9udGltZQpXSEVSRSBZZWFyPj0yMDAwIEFORCBZZWFyPD0yMDA4CkdST1VQIEJZIERheU9mV2VlawpPUkRFUiBCWSBjIERFU0M7Cg==).
This performance test was created by Vadim Tkachenko. See:

2
docs/en/getting-started/example-datasets/opensky.md
View File

@ -381,4 +381,4 @@ Query id: 1b446157-9519-4cc4-a1cb-178dfcc15a8e
### Test it in Playground
The data is uploaded to ClickHouse Playground, [example](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUCiAgICBvcmlnaW4sCiAgICBjb3VudCgpLAogICAgcm91bmQoYXZnKGdlb0Rpc3RhbmNlKGxvbmdpdHVkZV8xLCBsYXRpdHVkZV8xLCBsb25naXR1ZGVfMiwgbGF0aXR1ZGVfMikpKSBBUyBkaXN0YW5jZSwKICAgIGJhcihkaXN0YW5jZSwgMCwgMTAwMDAwMDAsIDEwMCkgQVMgYmFyCkZST00gb3BlbnNreQpXSEVSRSBvcmlnaW4gIT0gJycKR1JPVVAgQlkgb3JpZ2luCk9SREVSIEJZIGNvdW50KCkgREVTQwpMSU1JVCAxMDA=).
The data is uploaded to ClickHouse Playground, [example](https://gh-api.clickhouse.com/play?user=play#U0VMRUNUCiAgICBvcmlnaW4sCiAgICBjb3VudCgpLAogICAgcm91bmQoYXZnKGdlb0Rpc3RhbmNlKGxvbmdpdHVkZV8xLCBsYXRpdHVkZV8xLCBsb25naXR1ZGVfMiwgbGF0aXR1ZGVfMikpKSBBUyBkaXN0YW5jZSwKICAgIGJhcihkaXN0YW5jZSwgMCwgMTAwMDAwMDAsIDEwMCkgQVMgYmFyCkZST00gb3BlbnNreQpXSEVSRSBvcmlnaW4gIT0gJycKR1JPVVAgQlkgb3JpZ2luCk9SREVSIEJZIGNvdW50KCkgREVTQwpMSU1JVCAxMDA=).

2
docs/en/getting-started/example-datasets/recipes.md
View File

@ -335,6 +335,6 @@ Result:
### Online Playground
The dataset is also available in the [Online Playground](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUCiAgICBhcnJheUpvaW4oTkVSKSBBUyBrLAogICAgY291bnQoKSBBUyBjCkZST00gcmVjaXBlcwpHUk9VUCBCWSBrCk9SREVSIEJZIGMgREVTQwpMSU1JVCA1MA==).
The dataset is also available in the [Online Playground](https://gh-api.clickhouse.com/play?user=play#U0VMRUNUCiAgICBhcnJheUpvaW4oTkVSKSBBUyBrLAogICAgY291bnQoKSBBUyBjCkZST00gcmVjaXBlcwpHUk9VUCBCWSBrCk9SREVSIEJZIGMgREVTQwpMSU1JVCA1MA==).
[Original article](https://clickhouse.com/docs/en/getting-started/example-datasets/recipes/) <!--hide-->

2
docs/en/getting-started/example-datasets/uk-price-paid.md
View File

@ -320,7 +320,7 @@ LIMIT 100
### Test it in Playground
The data is uploaded to ClickHouse Playground, [example](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUIHRvd24sIGRpc3RyaWN0LCBjb3VudCgpIEFTIGMsIHJvdW5kKGF2ZyhwcmljZSkpIEFTIHByaWNlLCBiYXIocHJpY2UsIDAsIDUwMDAwMDAsIDEwMCkgRlJPTSB1a19wcmljZV9wYWlkIFdIRVJFIGRhdGUgPj0gJzIwMjAtMDEtMDEnIEdST1VQIEJZIHRvd24sIGRpc3RyaWN0IEhBVklORyBjID49IDEwMCBPUkRFUiBCWSBwcmljZSBERVNDIExJTUlUIDEwMA==).
The data is uploaded to ClickHouse Playground, [example](https://gh-api.clickhouse.com/play?user=play#U0VMRUNUIHRvd24sIGRpc3RyaWN0LCBjb3VudCgpIEFTIGMsIHJvdW5kKGF2ZyhwcmljZSkpIEFTIHByaWNlLCBiYXIocHJpY2UsIDAsIDUwMDAwMDAsIDEwMCkgRlJPTSB1a19wcmljZV9wYWlkIFdIRVJFIGRhdGUgPj0gJzIwMjAtMDEtMDEnIEdST1VQIEJZIHRvd24sIGRpc3RyaWN0IEhBVklORyBjID49IDEwMCBPUkRFUiBCWSBwcmljZSBERVNDIExJTUlUIDEwMA==).
## Let's speed up queries using projections

30
docs/en/getting-started/install.md
View File

@ -29,7 +29,7 @@ It is recommended to use official pre-compiled `deb` packages for Debian or Ubun
If you want to use the most recent version, replace `stable` with `testing` (this is recommended for your testing environments).
You can also download and install packages manually from [here](https://repo.clickhouse.tech/deb/stable/main/).
You can also download and install packages manually from [here](https://repo.clickhouse.com/deb/stable/main/).
#### Packages {#packages}
@ -50,8 +50,8 @@ First, you need to add the official repository:
``` bash
sudo yum install yum-utils
sudo rpm --import https://repo.clickhouse.tech/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.tech/rpm/stable/x86_64
sudo rpm --import https://repo.clickhouse.com/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.com/rpm/stable/x86_64
```
If you want to use the most recent version, replace `stable` with `testing` (this is recommended for your testing environments). `prestable` is sometimes also available.
@ -62,21 +62,21 @@ Then run these commands to install packages:
sudo yum install clickhouse-server clickhouse-client
```
You can also download and install packages manually from [here](https://repo.clickhouse.tech/rpm/stable/x86_64).
You can also download and install packages manually from [here](https://repo.clickhouse.com/rpm/stable/x86_64).
### From Tgz Archives {#from-tgz-archives}
It is recommended to use official pre-compiled `tgz` archives for all Linux distributions, where installation of `deb` or `rpm` packages is not possible.
The required version can be downloaded with `curl` or `wget` from repository https://repo.clickhouse.tech/tgz/.
The required version can be downloaded with `curl` or `wget` from repository https://repo.clickhouse.com/tgz/.
After that downloaded archives should be unpacked and installed with installation scripts. Example for the latest version:
``` bash
export LATEST_VERSION=`curl https://api.github.com/repos/ClickHouse/ClickHouse/tags 2>/dev/null | grep -Eo '[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+' | head -n 1`
curl -O https://repo.clickhouse.tech/tgz/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-client-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-client-$LATEST_VERSION.tgz
tar -xzvf clickhouse-common-static-$LATEST_VERSION.tgz
sudo clickhouse-common-static-$LATEST_VERSION/install/doinst.sh
@ -100,10 +100,10 @@ To run ClickHouse inside Docker follow the guide on [Docker Hub](https://hub.doc
### Single Binary {#from-single-binary}
You can install ClickHouse on Linux using a single portable binary from the latest commit of the `master` branch: [https://builds.clickhouse.tech/master/amd64/clickhouse].
You can install ClickHouse on Linux using a single portable binary from the latest commit of the `master` branch: [https://builds.clickhouse.com/master/amd64/clickhouse].
``` bash
curl -O 'https://builds.clickhouse.tech/master/amd64/clickhouse' && chmod a+x clickhouse
curl -O 'https://builds.clickhouse.com/master/amd64/clickhouse' && chmod a+x clickhouse
sudo ./clickhouse install
```
@ -111,10 +111,10 @@ sudo ./clickhouse install
For non-Linux operating systems and for AArch64 CPU arhitecture, ClickHouse builds are provided as a cross-compiled binary from the latest commit of the `master` branch (with a few hours delay).
- [MacOS x86_64](https://builds.clickhouse.tech/master/macos/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/macos/clickhouse' && chmod a+x ./clickhouse`
- [MacOS Aarch64 (Apple Silicon)](https://builds.clickhouse.tech/master/macos-aarch64/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/macos-aarch64/clickhouse' && chmod a+x ./clickhouse`
- [FreeBSD x86_64](https://builds.clickhouse.tech/master/freebsd/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/freebsd/clickhouse' && chmod a+x ./clickhouse`
- [Linux AArch64](https://builds.clickhouse.tech/master/aarch64/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/aarch64/clickhouse' && chmod a+x ./clickhouse`
- [MacOS x86_64](https://builds.clickhouse.com/master/macos/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/macos/clickhouse' && chmod a+x ./clickhouse`
- [MacOS Aarch64 (Apple Silicon)](https://builds.clickhouse.com/master/macos-aarch64/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/macos-aarch64/clickhouse' && chmod a+x ./clickhouse`
- [FreeBSD x86_64](https://builds.clickhouse.com/master/freebsd/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/freebsd/clickhouse' && chmod a+x ./clickhouse`
- [Linux AArch64](https://builds.clickhouse.com/master/aarch64/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/aarch64/clickhouse' && chmod a+x ./clickhouse`
After downloading, you can use the `clickhouse client` to connect to the server, or `clickhouse local` to process local data.

14
docs/en/getting-started/playground.md
View File

@ -5,7 +5,7 @@ toc_title: Playground
# ClickHouse Playground {#clickhouse-playground}
[ClickHouse Playground](https://play.clickhouse.tech) allows people to experiment with ClickHouse by running queries instantly, without setting up their server or cluster.
[ClickHouse Playground](https://play.clickhouse.com) allows people to experiment with ClickHouse by running queries instantly, without setting up their server or cluster.
Several example datasets are available in Playground as well as sample queries that show ClickHouse features. There’s also a selection of ClickHouse LTS releases to experiment with.
ClickHouse Playground gives the experience of m2.small [Managed Service for ClickHouse](https://cloud.yandex.com/services/managed-clickhouse) instance (4 vCPU, 32 GB RAM) hosted in [Yandex.Cloud](https://cloud.yandex.com/). More information about [cloud providers](../commercial/cloud.md).
@ -16,15 +16,15 @@ You can make queries to Playground using any HTTP client, for example [curl](htt
| Parameter | Value |
|:--------------------|:----------------------------------------|
| HTTPS endpoint | `https://play-api.clickhouse.tech:8443` |
| Native TCP endpoint | `play-api.clickhouse.tech:9440` |
| HTTPS endpoint | `https://play-api.clickhouse.com:8443` |
| Native TCP endpoint | `play-api.clickhouse.com:9440` |
| User | `playground` |
| Password | `clickhouse` |
There are additional endpoints with specific ClickHouse releases to experiment with their differences (ports and user/password are the same as above):
- 20.3 LTS: `play-api-v20-3.clickhouse.tech`
- 19.14 LTS: `play-api-v19-14.clickhouse.tech`
- 20.3 LTS: `play-api-v20-3.clickhouse.com`
- 19.14 LTS: `play-api-v19-14.clickhouse.com`
!!! note "Note"
All these endpoints require a secure TLS connection.
@ -48,13 +48,13 @@ The following settings are also enforced:
HTTPS endpoint example with `curl`:
``` bash
curl "https://play-api.clickhouse.tech:8443/?query=SELECT+'Play+ClickHouse\!';&user=playground&password=clickhouse&database=datasets"
curl "https://play-api.clickhouse.com:8443/?query=SELECT+'Play+ClickHouse\!';&user=playground&password=clickhouse&database=datasets"
```
TCP endpoint example with [CLI](../interfaces/cli.md):
``` bash
clickhouse client --secure -h play-api.clickhouse.tech --port 9440 -u playground --password clickhouse -q "SELECT 'Play ClickHouse\!'"
clickhouse client --secure -h play-api.clickhouse.com --port 9440 -u playground --password clickhouse -q "SELECT 'Play ClickHouse\!'"
```
## Implementation Details {#implementation-details}

4
docs/en/getting-started/tutorial.md
View File

@ -85,8 +85,8 @@ Now it’s time to fill our ClickHouse server with some sample data. In this tut
### Download and Extract Table Data {#download-and-extract-table-data}
``` bash
curl https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
curl https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
```
The extracted files are about 10GB in size.

10
docs/en/introduction/adopters.md
View File

@ -15,14 +15,14 @@ toc_title: Adopters
| <a href="http://www.adscribe.tv/" class="favicon">AdScribe</a> | Ads | TV Analytics | — | — | [A quote from CTO](https://altinity.com/24x7-support/) |
| <a href="https://ahrefs.com/" class="favicon">Ahrefs</a> | SEO | Analytics | — | — | [Job listing](https://ahrefs.com/jobs/data-scientist-search) |
| <a href="https://cn.aliyun.com/" class="favicon">Alibaba Cloud</a> | Cloud | Managed Service | — | — | [Official Website](https://help.aliyun.com/product/144466.html) |
| <a href="https://alohabrowser.com/" class="favicon">Aloha Browser</a> | Mobile App | Browser backend | — | — | [Slides in Russian, May 2019](https://presentations.clickhouse.tech/meetup22/aloha.pdf) |
| <a href="https://alohabrowser.com/" class="favicon">Aloha Browser</a> | Mobile App | Browser backend | — | — | [Slides in Russian, May 2019](https://presentations.clickhouse.com/meetup22/aloha.pdf) |
| <a href="https://altinity.com/" class="favicon">Altinity</a> | Cloud, SaaS | Main product | — | — | [Official Website](https://altinity.com/) |
| <a href="https://amadeus.com/" class="favicon">Amadeus</a> | Travel | Analytics | — | — | [Press Release, April 2018](https://www.altinity.com/blog/2018/4/5/amadeus-technologies-launches-investment-and-insights-tool-based-on-machine-learning-and-strategy-algorithms) |
| <a href="https://apiroad.net/" class="favicon">ApiRoad</a> | API marketplace | Analytics | — | — | [Blog post, Nov 2018, Mar 2020](https://pixeljets.com/blog/clickhouse-vs-elasticsearch/) |
| <a href="https://www.appsflyer.com" class="favicon">Appsflyer</a> | Mobile analytics | Main product | — | — | [Talk in Russian, July 2019](https://www.youtube.com/watch?v=M3wbRlcpBbY) |
| <a href="https://arenadata.tech/" class="favicon">ArenaData</a> | Data Platform | Main product | — | — | [Slides in Russian, December 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup38/indexes.pdf) |
| <a href="https://avito.ru/" class="favicon">Avito</a> | Classifieds | Monitoring | — | — | [Meetup, April 2020](https://www.youtube.com/watch?v=n1tm4j4W8ZQ) |
| <a href="https://badoo.com" class="favicon">Badoo</a> | Dating | Timeseries | — | — | [Slides in Russian, December 2019](https://presentations.clickhouse.tech/meetup38/forecast.pdf) |
| <a href="https://badoo.com" class="favicon">Badoo</a> | Dating | Timeseries | — | — | [Slides in Russian, December 2019](https://presentations.clickhouse.com/meetup38/forecast.pdf) |
| <a href="https://www.benocs.com/" class="favicon">Benocs</a> | Network Telemetry and Analytics | Main Product | — | — | [Slides in English, October 2017](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup9/lpm.pdf) |
| <a href="https://www.bigo.sg/" class="favicon">BIGO</a> | Video | Computing Platform | — | — | [Blog Article, August 2020](https://www.programmersought.com/article/44544895251/) |
| <a href="https://www.bloomberg.com/">Bloomberg</a> | Finance, Media | Monitoring | — | — | [Slides, May 2018](https://www.slideshare.net/Altinity/http-analytics-for-6m-requests-per-second-using-clickhouse-by-alexander-bocharov) |
@ -126,7 +126,7 @@ toc_title: Adopters
| <a href="https://www.tencentmusic.com/" class="favicon">Tencent Music Entertainment (TME)</a> | BigData | Data processing | — | — | [Blog in Chinese, June 2020](https://cloud.tencent.com/developer/article/1637840) |
| <a href="https://www.tinybird.co/" class="favicon">Tinybird</a> | Real-time Data Products | Data processing | — | — | [Official website](https://www.tinybird.co/) |
| <a href="https://trafficstars.com/" class="favicon">Traffic Stars</a> | AD network | — | — | — | [Slides in Russian, May 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup15/lightning/ninja.pdf) |
| <a href="https://www.uber.com" class="favicon">Uber</a> | Taxi | Logging | — | — | [Slides, February 2020](https://presentations.clickhouse.tech/meetup40/uber.pdf) |
| <a href="https://www.uber.com" class="favicon">Uber</a> | Taxi | Logging | — | — | [Slides, February 2020](https://presentations.clickhouse.com/meetup40/uber.pdf) |
| <a href="https://hello.utmstat.com/" class="favicon">UTMSTAT</a> | Analytics | Main product | — | — | [Blog post, June 2020](https://vc.ru/tribuna/133956-striming-dannyh-iz-servisa-skvoznoy-analitiki-v-clickhouse) |
| <a href="https://vk.com" class="favicon">VKontakte</a> | Social Network | Statistics, Logging | — | — | [Slides in Russian, August 2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup17/3_vk.pdf) |
| <a href="https://www.vmware.com/" class="favicon">VMWare</a> | Cloud | VeloCloud, SDN | — | — | [Product documentation](https://docs.vmware.com/en/vRealize-Operations-Manager/8.3/com.vmware.vcom.metrics.doc/GUID-A9AD72E1-C948-4CA2-971B-919385AB3CA8.html) |
@ -139,9 +139,9 @@ toc_title: Adopters
| <a href="http://www.xiaoxintech.cn/" class="favicon">Xiaoxin Tech</a> | Education | Common purpose | — | — | [Slides in English, November 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup33/sync-clickhouse-with-mysql-mongodb.pptx) |
| <a href="https://www.ximalaya.com/" class="favicon">Ximalaya</a> | Audio sharing | OLAP | — | — | [Slides in English, November 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup33/ximalaya.pdf) |
| <a href="https://cloud.yandex.ru/services/managed-clickhouse" class="favicon">Yandex Cloud</a> | Public Cloud | Main product | — | — | [Talk in Russian, December 2019](https://www.youtube.com/watch?v=pgnak9e_E0o) |
| <a href="https://cloud.yandex.ru/services/datalens" class="favicon">Yandex DataLens</a> | Business Intelligence | Main product | — | — | [Slides in Russian, December 2019](https://presentations.clickhouse.tech/meetup38/datalens.pdf) |
| <a href="https://cloud.yandex.ru/services/datalens" class="favicon">Yandex DataLens</a> | Business Intelligence | Main product | — | — | [Slides in Russian, December 2019](https://presentations.clickhouse.com/meetup38/datalens.pdf) |
| <a href="https://market.yandex.ru/" class="favicon">Yandex Market</a> | e-Commerce | Metrics, Logging | — | — | [Talk in Russian, January 2019](https://youtu.be/_l1qP0DyBcA?t=478) |
| <a href="https://metrica.yandex.com" class="favicon">Yandex Metrica</a> | Web analytics | Main product | 630 servers in one cluster, 360 servers in another cluster, 1862 servers in one department | 133 PiB / 8.31 PiB / 120 trillion records | [Slides, February 2020](https://presentations.clickhouse.tech/meetup40/introduction/#13) |
| <a href="https://metrica.yandex.com" class="favicon">Yandex Metrica</a> | Web analytics | Main product | 630 servers in one cluster, 360 servers in another cluster, 1862 servers in one department | 133 PiB / 8.31 PiB / 120 trillion records | [Slides, February 2020](https://presentations.clickhouse.com/meetup40/introduction/#13) |
| <a href="https://www.yotascale.com/" class="favicon">Yotascale</a> | Cloud | Data pipeline | — | 2 bn records/day | [LinkedIn (Accomplishments)](https://www.linkedin.com/in/adilsaleem/) |
| <a href="https://htc-cs.ru/" class="favicon">ЦВТ</a> | Software Development | Metrics, Logging | — | — | [Blog Post, March 2019, in Russian](https://vc.ru/dev/62715-kak-my-stroili-monitoring-na-prometheus-clickhouse-i-elk) |
| <a href="https://mkb.ru/" class="favicon">МКБ</a> | Bank | Web-system monitoring | — | — | [Slides in Russian, September 2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/mkb.pdf) |

6
docs/en/operations/performance-test.md
View File

@ -35,9 +35,9 @@ Alternatively you can perform benchmark in the following steps.
1. ssh to the server and download the binary with wget:
```bash
# For amd64:
wget https://builds.clickhouse.tech/master/amd64/clickhouse
wget https://builds.clickhouse.com/master/amd64/clickhouse
# For aarch64:
wget https://builds.clickhouse.tech/master/aarch64/clickhouse
wget https://builds.clickhouse.com/master/aarch64/clickhouse
# Then do:
chmod a+x clickhouse
```
@ -49,7 +49,7 @@ wget https://raw.githubusercontent.com/ClickHouse/ClickHouse/master/benchmark/cl
```
3. Download test data according to the [Yandex.Metrica dataset](../getting-started/example-datasets/metrica.md) instruction (“hits” table containing 100 million rows).
```bash
wget https://datasets.clickhouse.tech/hits/partitions/hits_100m_obfuscated_v1.tar.xz
wget https://datasets.clickhouse.com/hits/partitions/hits_100m_obfuscated_v1.tar.xz
tar xvf hits_100m_obfuscated_v1.tar.xz -C .
mv hits_100m_obfuscated_v1/* .
```

2
docs/en/sql-reference/functions/other-functions.md
View File

@ -1201,7 +1201,7 @@ SELECT * FROM table WHERE indexHint(<expression>)
**Returned value**
1. Type: [Uint8](https://clickhouse.tech/docs/en/data_types/int_uint/#diapazony-uint).
1. Type: [Uint8](https://clickhouse.com/docs/en/data_types/int_uint/#diapazony-uint).
**Example**

4
docs/ja/development/developer-instruction.md
View File

@ -250,8 +250,8 @@ KDevelopとQTCreatorは、ClickHouseを開発するためのIDEの他の優れ
sudo apt install wget xz-utils
wget https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz
wget https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz
wget https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz
wget https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz
xz -v -d hits_v1.tsv.xz
xz -v -d visits_v1.tsv.xz

10
docs/ja/getting-started/example-datasets/metrica.md
View File

@ -9,14 +9,14 @@ toc_title: "Yandex.Metrica データ"
Yandex.Metricaについての詳細は [ClickHouse history](../../introduction/history.md) のセクションを参照してください。
データセットは2つのテーブルから構成されており、どちらも圧縮された `tsv.xz` ファイルまたは準備されたパーティションとしてダウンロードすることができます。
さらに、1億行を含む`hits`テーブルの拡張版が TSVとして https://datasets.clickhouse.tech/hits/tsv/hits_100m_obfuscated_v1.tsv.xz に、準備されたパーティションとして https://datasets.clickhouse.tech/hits/partitions/hits_100m_obfuscated_v1.tar.xz にあります。
さらに、1億行を含む`hits`テーブルの拡張版が TSVとして https://datasets.clickhouse.com/hits/tsv/hits_100m_obfuscated_v1.tsv.xz に、準備されたパーティションとして https://datasets.clickhouse.com/hits/partitions/hits_100m_obfuscated_v1.tar.xz にあります。
## パーティション済みテーブルの取得 {#obtaining-tables-from-prepared-partitions}
hits テーブルのダウンロードとインポート:
``` bash
curl -O https://datasets.clickhouse.tech/hits/partitions/hits_v1.tar
curl -O https://datasets.clickhouse.com/hits/partitions/hits_v1.tar
tar xvf hits_v1.tar -C /var/lib/clickhouse # ClickHouse のデータディレクトリへのパス
# 展開されたデータのパーミッションをチェックし、必要に応じて修正します。
sudo service clickhouse-server restart
@ -26,7 +26,7 @@ clickhouse-client --query "SELECT COUNT(*) FROM datasets.hits_v1"
visits のダウンロードとインポート:
``` bash
curl -O https://datasets.clickhouse.tech/visits/partitions/visits_v1.tar
curl -O https://datasets.clickhouse.com/visits/partitions/visits_v1.tar
tar xvf visits_v1.tar -C /var/lib/clickhouse # ClickHouse のデータディレクトリへのパス
# 展開されたデータのパーミッションをチェックし、必要に応じて修正します。
sudo service clickhouse-server restart
@ -38,7 +38,7 @@ clickhouse-client --query "SELECT COUNT(*) FROM datasets.visits_v1"
圧縮TSVファイルのダウンロードと hits テーブルのインポート:
``` bash
curl https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
# now create table
clickhouse-client --query "CREATE DATABASE IF NOT EXISTS datasets"
clickhouse-client --query "CREATE TABLE datasets.hits_v1 ( WatchID UInt64, JavaEnable UInt8, Title String, GoodEvent Int16, EventTime DateTime, EventDate Date, CounterID UInt32, ClientIP UInt32, ClientIP6 FixedString(16), RegionID UInt32, UserID UInt64, CounterClass Int8, OS UInt8, UserAgent UInt8, URL String, Referer String, URLDomain String, RefererDomain String, Refresh UInt8, IsRobot UInt8, RefererCategories Array(UInt16), URLCategories Array(UInt16), URLRegions Array(UInt32), RefererRegions Array(UInt32), ResolutionWidth UInt16, ResolutionHeight UInt16, ResolutionDepth UInt8, FlashMajor UInt8, FlashMinor UInt8, FlashMinor2 String, NetMajor UInt8, NetMinor UInt8, UserAgentMajor UInt16, UserAgentMinor FixedString(2), CookieEnable UInt8, JavascriptEnable UInt8, IsMobile UInt8, MobilePhone UInt8, MobilePhoneModel String, Params String, IPNetworkID UInt32, TraficSourceID Int8, SearchEngineID UInt16, SearchPhrase String, AdvEngineID UInt8, IsArtifical UInt8, WindowClientWidth UInt16, WindowClientHeight UInt16, ClientTimeZone Int16, ClientEventTime DateTime, SilverlightVersion1 UInt8, SilverlightVersion2 UInt8, SilverlightVersion3 UInt32, SilverlightVersion4 UInt16, PageCharset String, CodeVersion UInt32, IsLink UInt8, IsDownload UInt8, IsNotBounce UInt8, FUniqID UInt64, HID UInt32, IsOldCounter UInt8, IsEvent UInt8, IsParameter UInt8, DontCountHits UInt8, WithHash UInt8, HitColor FixedString(1), UTCEventTime DateTime, Age UInt8, Sex UInt8, Income UInt8, Interests UInt16, Robotness UInt8, GeneralInterests Array(UInt16), RemoteIP UInt32, RemoteIP6 FixedString(16), WindowName Int32, OpenerName Int32, HistoryLength Int16, BrowserLanguage FixedString(2), BrowserCountry FixedString(2), SocialNetwork String, SocialAction String, HTTPError UInt16, SendTiming Int32, DNSTiming Int32, ConnectTiming Int32, ResponseStartTiming Int32, ResponseEndTiming Int32, FetchTiming Int32, RedirectTiming Int32, DOMInteractiveTiming Int32, DOMContentLoadedTiming Int32, DOMCompleteTiming Int32, LoadEventStartTiming Int32, LoadEventEndTiming Int32, NSToDOMContentLoadedTiming Int32, FirstPaintTiming Int32, RedirectCount Int8, SocialSourceNetworkID UInt8, SocialSourcePage String, ParamPrice Int64, ParamOrderID String, ParamCurrency FixedString(3), ParamCurrencyID UInt16, GoalsReached Array(UInt32), OpenstatServiceName String, OpenstatCampaignID String, OpenstatAdID String, OpenstatSourceID String, UTMSource String, UTMMedium String, UTMCampaign String, UTMContent String, UTMTerm String, FromTag String, HasGCLID UInt8, RefererHash UInt64, URLHash UInt64, CLID UInt32, YCLID UInt64, ShareService String, ShareURL String, ShareTitle String, ParsedParams Nested(Key1 String, Key2 String, Key3 String, Key4 String, Key5 String, ValueDouble Float64), IslandID FixedString(16), RequestNum UInt32, RequestTry UInt8) ENGINE = MergeTree() PARTITION BY toYYYYMM(EventDate) ORDER BY (CounterID, EventDate, intHash32(UserID)) SAMPLE BY intHash32(UserID) SETTINGS index_granularity = 8192"
@ -52,7 +52,7 @@ clickhouse-client --query "SELECT COUNT(*) FROM datasets.hits_v1"
圧縮TSVファイルのダウンロードと visits テーブルのインポート:
``` bash
curl https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
curl https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
# now create table
clickhouse-client --query "CREATE DATABASE IF NOT EXISTS datasets"
clickhouse-client --query "CREATE TABLE datasets.visits_v1 ( CounterID UInt32, StartDate Date, Sign Int8, IsNew UInt8, VisitID UInt64, UserID UInt64, StartTime DateTime, Duration UInt32, UTCStartTime DateTime, PageViews Int32, Hits Int32, IsBounce UInt8, Referer String, StartURL String, RefererDomain String, StartURLDomain String, EndURL String, LinkURL String, IsDownload UInt8, TraficSourceID Int8, SearchEngineID UInt16, SearchPhrase String, AdvEngineID UInt8, PlaceID Int32, RefererCategories Array(UInt16), URLCategories Array(UInt16), URLRegions Array(UInt32), RefererRegions Array(UInt32), IsYandex UInt8, GoalReachesDepth Int32, GoalReachesURL Int32, GoalReachesAny Int32, SocialSourceNetworkID UInt8, SocialSourcePage String, MobilePhoneModel String, ClientEventTime DateTime, RegionID UInt32, ClientIP UInt32, ClientIP6 FixedString(16), RemoteIP UInt32, RemoteIP6 FixedString(16), IPNetworkID UInt32, SilverlightVersion3 UInt32, CodeVersion UInt32, ResolutionWidth UInt16, ResolutionHeight UInt16, UserAgentMajor UInt16, UserAgentMinor UInt16, WindowClientWidth UInt16, WindowClientHeight UInt16, SilverlightVersion2 UInt8, SilverlightVersion4 UInt16, FlashVersion3 UInt16, FlashVersion4 UInt16, ClientTimeZone Int16, OS UInt8, UserAgent UInt8, ResolutionDepth UInt8, FlashMajor UInt8, FlashMinor UInt8, NetMajor UInt8, NetMinor UInt8, MobilePhone UInt8, SilverlightVersion1 UInt8, Age UInt8, Sex UInt8, Income UInt8, JavaEnable UInt8, CookieEnable UInt8, JavascriptEnable UInt8, IsMobile UInt8, BrowserLanguage UInt16, BrowserCountry UInt16, Interests UInt16, Robotness UInt8, GeneralInterests Array(UInt16), Params Array(String), Goals Nested(ID UInt32, Serial UInt32, EventTime DateTime, Price Int64, OrderID String, CurrencyID UInt32), WatchIDs Array(UInt64), ParamSumPrice Int64, ParamCurrency FixedString(3), ParamCurrencyID UInt16, ClickLogID UInt64, ClickEventID Int32, ClickGoodEvent Int32, ClickEventTime DateTime, ClickPriorityID Int32, ClickPhraseID Int32, ClickPageID Int32, ClickPlaceID Int32, ClickTypeID Int32, ClickResourceID Int32, ClickCost UInt32, ClickClientIP UInt32, ClickDomainID UInt32, ClickURL String, ClickAttempt UInt8, ClickOrderID UInt32, ClickBannerID UInt32, ClickMarketCategoryID UInt32, ClickMarketPP UInt32, ClickMarketCategoryName String, ClickMarketPPName String, ClickAWAPSCampaignName String, ClickPageName String, ClickTargetType UInt16, ClickTargetPhraseID UInt64, ClickContextType UInt8, ClickSelectType Int8, ClickOptions String, ClickGroupBannerID Int32, OpenstatServiceName String, OpenstatCampaignID String, OpenstatAdID String, OpenstatSourceID String, UTMSource String, UTMMedium String, UTMCampaign String, UTMContent String, UTMTerm String, FromTag String, HasGCLID UInt8, FirstVisit DateTime, PredLastVisit Date, LastVisit Date, TotalVisits UInt32, TraficSource Nested(ID Int8, SearchEngineID UInt16, AdvEngineID UInt8, PlaceID UInt16, SocialSourceNetworkID UInt8, Domain String, SearchPhrase String, SocialSourcePage String), Attendance FixedString(16), CLID UInt32, YCLID UInt64, NormalizedRefererHash UInt64, SearchPhraseHash UInt64, RefererDomainHash UInt64, NormalizedStartURLHash UInt64, StartURLDomainHash UInt64, NormalizedEndURLHash UInt64, TopLevelDomain UInt64, URLScheme UInt64, OpenstatServiceNameHash UInt64, OpenstatCampaignIDHash UInt64, OpenstatAdIDHash UInt64, OpenstatSourceIDHash UInt64, UTMSourceHash UInt64, UTMMediumHash UInt64, UTMCampaignHash UInt64, UTMContentHash UInt64, UTMTermHash UInt64, FromHash UInt64, WebVisorEnabled UInt8, WebVisorActivity UInt32, ParsedParams Nested(Key1 String, Key2 String, Key3 String, Key4 String, Key5 String, ValueDouble Float64), Market Nested(Type UInt8, GoalID UInt32, OrderID String, OrderPrice Int64, PP UInt32, DirectPlaceID UInt32, DirectOrderID UInt32, DirectBannerID UInt32, GoodID String, GoodName String, GoodQuantity Int32, GoodPrice Int64), IslandID FixedString(16)) ENGINE = CollapsingMergeTree(Sign) PARTITION BY toYYYYMM(StartDate) ORDER BY (CounterID, StartDate, intHash32(UserID), VisitID) SAMPLE BY intHash32(UserID) SETTINGS index_granularity = 8192"

2
docs/ja/getting-started/example-datasets/nyc-taxi.md
View File

@ -286,7 +286,7 @@ SELECT formatReadableSize(sum(bytes)) FROM system.parts WHERE table = 'trips_mer
## パーティションされたデータのダウンロード {#download-of-prepared-partitions}
``` bash
$ curl -O https://datasets.clickhouse.tech/trips_mergetree/partitions/trips_mergetree.tar
$ curl -O https://datasets.clickhouse.com/trips_mergetree/partitions/trips_mergetree.tar
$ tar xvf trips_mergetree.tar -C /var/lib/clickhouse # path to ClickHouse data directory
$ # check permissions of unpacked data, fix if required
$ sudo service clickhouse-server restart

2
docs/ja/getting-started/example-datasets/ontime.md
View File

@ -155,7 +155,7 @@ ls -1 *.zip | xargs -I{} -P $(nproc) bash -c "echo {}; unzip -cq {} '*.csv' | se
## パーティション済みデータのダウンロード {#download-of-prepared-partitions}
``` bash
$ curl -O https://datasets.clickhouse.tech/ontime/partitions/ontime.tar
$ curl -O https://datasets.clickhouse.com/ontime/partitions/ontime.tar
$ tar xvf ontime.tar -C /var/lib/clickhouse # path to ClickHouse data directory
$ # check permissions of unpacked data, fix if required
$ sudo service clickhouse-server restart

24
docs/ja/getting-started/install.md
View File

@ -30,7 +30,7 @@ Debian や Ubuntu 用にコンパイル済みの公式パッケージ `deb` を
最新版を使いたい場合は、`stable`を`testing`に置き換えてください。（テスト環境ではこれを推奨します）
同様に、[こちら](https://repo.clickhouse.tech/deb/stable/main/)からパッケージをダウンロードして、手動でインストールすることもできます。
同様に、[こちら](https://repo.clickhouse.com/deb/stable/main/)からパッケージをダウンロードして、手動でインストールすることもできます。
#### パッケージ {#packages}
@ -47,8 +47,8 @@ CentOS、RedHat、その他すべてのrpmベースのLinuxディストリビュ
``` bash
sudo yum install yum-utils
sudo rpm --import https://repo.clickhouse.tech/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.tech/rpm/stable/x86_64
sudo rpm --import https://repo.clickhouse.com/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.com/rpm/stable/x86_64
```
最新版を使いたい場合は `stable` を `testing` に置き換えてください。(テスト環境ではこれが推奨されています)。`prestable` もしばしば同様に利用できます。
@ -59,20 +59,20 @@ sudo yum-config-manager --add-repo https://repo.clickhouse.tech/rpm/stable/x86_6
sudo yum install clickhouse-server clickhouse-client
```
同様に、[こちら](https://repo.clickhouse.tech/rpm/stable/x86_64) からパッケージをダウンロードして、手動でインストールすることもできます。
同様に、[こちら](https://repo.clickhouse.com/rpm/stable/x86_64) からパッケージをダウンロードして、手動でインストールすることもできます。
### Tgzアーカイブから {#from-tgz-archives}
すべての Linux ディストリビューションで、`deb` や `rpm` パッケージがインストールできない場合は、公式のコンパイル済み `tgz` アーカイブを使用することをお勧めします。
必要なバージョンは、リポジトリ https://repo.clickhouse.tech/tgz/ から `curl` または `wget` でダウンロードできます。その後、ダウンロードしたアーカイブを解凍し、インストールスクリプトでインストールしてください。最新版の例は以下です:
必要なバージョンは、リポジトリ https://repo.clickhouse.com/tgz/ から `curl` または `wget` でダウンロードできます。その後、ダウンロードしたアーカイブを解凍し、インストールスクリプトでインストールしてください。最新版の例は以下です:
``` bash
export LATEST_VERSION=`curl https://api.github.com/repos/ClickHouse/ClickHouse/tags 2>/dev/null | grep -Eo '[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+' | head -n 1`
curl -O https://repo.clickhouse.tech/tgz/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-client-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-client-$LATEST_VERSION.tgz
tar -xzvf clickhouse-common-static-$LATEST_VERSION.tgz
sudo clickhouse-common-static-$LATEST_VERSION/install/doinst.sh
@ -99,9 +99,9 @@ Docker内でClickHouseを実行するには、次の [DockerHub](https://hub.doc
非LinuxオペレーティングシステムとAArch64 CPUアーキテクチャのために、ClickHouseのビルドは `master` ブランチの最新のコミットからクロスコンパイルされたバイナリを提供しています。(数時間の遅延があります)
- [macOS](https://builds.clickhouse.tech/master/macos/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/macos/clickhouse' && chmod a+x ./clickhouse`
- [FreeBSD](https://builds.clickhouse.tech/master/freebsd/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/freebsd/clickhouse' && chmod a+x ./clickhouse`
- [AArch64](https://builds.clickhouse.tech/master/aarch64/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/aarch64/clickhouse' && chmod a+x ./clickhouse`
- [macOS](https://builds.clickhouse.com/master/macos/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/macos/clickhouse' && chmod a+x ./clickhouse`
- [FreeBSD](https://builds.clickhouse.com/master/freebsd/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/freebsd/clickhouse' && chmod a+x ./clickhouse`
- [AArch64](https://builds.clickhouse.com/master/aarch64/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/aarch64/clickhouse' && chmod a+x ./clickhouse`
ダウンロード後、`clickhouse client` を使ってサーバーに接続したり、`clickhouse local` を使ってローカルデータを処理したりすることができます。`clickhouse server` を実行するには、GitHubから[server](https://github.com/ClickHouse/ClickHouse/blob/master/programs/server/config.xml)と[users](https://github.com/ClickHouse/ClickHouse/blob/master/programs/server/users.xml)の設定ファイルを追加でダウンロードする必要があります。

14
docs/ja/getting-started/playground.md
View File

@ -5,7 +5,7 @@ toc_title: Playground
# ClickHouse Playground {#clickhouse-playground}
[ClickHouse Playground](https://play.clickhouse.tech) では、サーバーやクラスタを設定することなく、即座にクエリを実行して ClickHouse を試すことができます。
[ClickHouse Playground](https://play.clickhouse.com) では、サーバーやクラスタを設定することなく、即座にクエリを実行して ClickHouse を試すことができます。
いくつかの例のデータセットは、Playground だけでなく、ClickHouse の機能を示すサンプルクエリとして利用可能です. また、 ClickHouse の LTS リリースで試すこともできます。
ClickHouse Playground は、[Yandex.Cloud](https://cloud.yandex.com/)にホストされている m2.small [Managed Service for ClickHouse](https://cloud.yandex.com/services/managed-clickhouse) インスタンス(4 vCPU, 32 GB RAM) で提供されています。クラウドプロバイダの詳細情報については[こちら](../commercial/cloud.md)。
@ -17,16 +17,16 @@ ClickHouse をサポートするソフトウェア製品の詳細情報は[こ
| パラメータ | 値 |
| :---------------------------- | :-------------------------------------- |
| HTTPS エンドポイント | `https://play-api.clickhouse.tech:8443` |
| ネイティブ TCP エンドポイント | `play-api.clickhouse.tech:9440` |
| HTTPS エンドポイント | `https://play-api.clickhouse.com:8443` |
| ネイティブ TCP エンドポイント | `play-api.clickhouse.com:9440` |
| ユーザ名 | `playgrounnd` |
| パスワード | `clickhouse` |
特定のClickHouseのリリースで試すために、追加のエンドポイントがあります。（ポートとユーザー/パスワードは上記と同じです）。
- 20.3 LTS: `play-api-v20-3.clickhouse.tech`
- 19.14 LTS: `play-api-v19-14.clickhouse.tech`
- 20.3 LTS: `play-api-v20-3.clickhouse.com`
- 19.14 LTS: `play-api-v19-14.clickhouse.com`
!!! note "備考"
これらのエンドポイントはすべて、安全なTLS接続が必要です。
@ -51,13 +51,13 @@ ClickHouse をサポートするソフトウェア製品の詳細情報は[こ
`curl` を用いて HTTPSエンドポイントへ接続する例:
``` bash
curl "https://play-api.clickhouse.tech:8443/?query=SELECT+'Play+ClickHouse\!';&user=playground&password=clickhouse&database=datasets"
curl "https://play-api.clickhouse.com:8443/?query=SELECT+'Play+ClickHouse\!';&user=playground&password=clickhouse&database=datasets"
```
[CLI](../interfaces/cli.md) で TCP エンドポイントへ接続する例:
``` bash
clickhouse client --secure -h play-api.clickhouse.tech --port 9440 -u playground --password clickhouse -q "SELECT 'Play ClickHouse\!'"
clickhouse client --secure -h play-api.clickhouse.com --port 9440 -u playground --password clickhouse -q "SELECT 'Play ClickHouse\!'"
```
## 実装の詳細 {#implementation-details}

4
docs/ja/getting-started/tutorial.md
View File

@ -92,8 +92,8 @@ ClickHouseサーバーにいくつかのサンプルデータを入れてみま
### テーブルデータのダウンロードと展開 {#download-and-extract-table-data}
``` bash
curl https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
curl https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
```
展開されたファイルのサイズは約10GBです。

8
docs/ja/introduction/adopters.md
View File

@ -17,7 +17,7 @@ toc_title: "\u30A2\u30C0\u30D7\u30BF\u30FC"
| <a href="https://amadeus.com/" class="favicon">アマデウス</a> | 旅行 | 分析 | — | — | [プレスリリース,April2018](https://www.altinity.com/blog/2018/4/5/amadeus-technologies-launches-investment-and-insights-tool-based-on-machine-learning-and-strategy-algorithms) |
| <a href="https://www.appsflyer.com" class="favicon">Appsflyer</a> | モバイル分析 | 主な製品 | — | — | [2019年ロシア語](https://www.youtube.com/watch?v=M3wbRlcpBbY) |
| <a href="https://arenadata.tech/" class="favicon">ArenaData</a> | データ基盤 | 主な製品 | — | — | [2019年ロシア](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup38/indexes.pdf) |
| <a href="https://badoo.com" class="favicon">バドゥ</a> | デート | 時系列 | — | — | [2019年ロシア](https://presentations.clickhouse.tech/meetup38/forecast.pdf) |
| <a href="https://badoo.com" class="favicon">バドゥ</a> | デート | 時系列 | — | — | [2019年ロシア](https://presentations.clickhouse.com/meetup38/forecast.pdf) |
| <a href="https://www.benocs.com/" class="favicon">ベノク</a> | ネットワークテレメトリと分析 | 主な製品 | — | — | [スライド英語,October2017](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup9/lpm.pdf) |
| <a href="https://www.bloomberg.com/" class="favicon">ブルームバーグ</a> | 金融、メディア | 監視 | 102サーバー | — | [スライド2018](https://www.slideshare.net/Altinity/http-analytics-for-6m-requests-per-second-using-clickhouse-by-alexander-bocharov) |
| <a href="https://bloxy.info" class="favicon">Bloxy</a> | Blockchain | 分析 | — | — | [ロシア語でのスライド,八月2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup17/4_bloxy.pptx) |
@ -66,15 +66,15 @@ toc_title: "\u30A2\u30C0\u30D7\u30BF\u30FC"
| <a href="https://www.splunk.com/" class="favicon">Splunk</a> | ビジネス分析 | 主な製品 | — | — | [2018年のスライド](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup12/splunk.pdf) |
| <a href="https://www.spotify.com" class="favicon">Spotify</a> | 音楽 | 実験 | — | — | [スライド2018](https://www.slideshare.net/glebus/using-clickhouse-for-experimentation-104247173) |
| <a href="https://www.tencent.com" class="favicon">テンセント</a> | ビッグデータ | データ処理 | — | — | [中国語でのスライド,October2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/5.%20ClickHouse大数据集群应用_李俊飞腾讯网媒事业部.pdf) |
| <a href="https://www.uber.com" class="favicon">Uber</a> | タクシー | ロギング | — | — | [スライド2020](https://presentations.clickhouse.tech/meetup40/uber.pdf) |
| <a href="https://www.uber.com" class="favicon">Uber</a> | タクシー | ロギング | — | — | [スライド2020](https://presentations.clickhouse.com/meetup40/uber.pdf) |
| <a href="https://vk.com" class="favicon">VKontakte</a> | ソーシャルネ | 統計、ロギング | — | — | [ロシア語でのスライド,八月2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup17/3_vk.pdf) |
| <a href="https://wisebits.com/" class="favicon">Wisebits</a> | ITソリューショ | 分析 | — | — | [ロシア語でのスライド,月2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
| <a href="http://www.xiaoxintech.cn/" class="favicon">Xiaoxin Tech</a> | 教育 | 共通の目的 | — | — | [2019年のスライド](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup33/sync-clickhouse-with-mysql-mongodb.pptx) |
| <a href="https://www.ximalaya.com/" class="favicon">シマラヤ</a> | オーディオ共有 | OLAP | — | — | [2019年のスライド](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup33/ximalaya.pdf) |
| <a href="https://cloud.yandex.ru/services/managed-clickhouse" class="favicon">Yandex Cloud</a> | パブリック | 主な製品 | — | — | [2019年ロシア語](https://www.youtube.com/watch?v=pgnak9e_E0o) |
| <a href="https://cloud.yandex.ru/services/datalens" class="favicon">Yandex DataLens</a> | ビジネス情報 | 主な製品 | — | — | [2019年ロシア](https://presentations.clickhouse.tech/meetup38/datalens.pdf) |
| <a href="https://cloud.yandex.ru/services/datalens" class="favicon">Yandex DataLens</a> | ビジネス情報 | 主な製品 | — | — | [2019年ロシア](https://presentations.clickhouse.com/meetup38/datalens.pdf) |
| <a href="https://market.yandex.ru/" class="favicon">Yandex Market</a> | eコマース | 指標、ロギング | — | — | [2019年ロシア語](https://youtu.be/_l1qP0DyBcA?t=478) |
| <a href="https://metrica.yandex.com" class="favicon">Yandex Metrica</a> | ウェブ分析 | 主な製品 | 一つのクラスタに360台、一つの部門に1862台のサーバ | 66.41PiB/5.68PiB | [スライド2020](https://presentations.clickhouse.tech/meetup40/introduction/#13) |
| <a href="https://metrica.yandex.com" class="favicon">Yandex Metrica</a> | ウェブ分析 | 主な製品 | 一つのクラスタに360台、一つの部門に1862台のサーバ | 66.41PiB/5.68PiB | [スライド2020](https://presentations.clickhouse.com/meetup40/introduction/#13) |
| <a href="https://htc-cs.ru/" class="favicon">ЦВТ</a> | ソフトウェア開発 | 指標、ロギング | — | — | [ブログ投稿,月2019,ロシア語で](https://vc.ru/dev/62715-kak-my-stroili-monitoring-na-prometheus-clickhouse-i-elk) |
| <a href="https://mkb.ru/" class="favicon">МКБ</a> | 銀行 | Webシステム監視 | — | — | [2019年ロシア](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/mkb.pdf) |
| <a href="https://jinshuju.net" class="favicon">Jinshuju 金数据</a> | BI分析 | 主な製品 | — | — | [2019年の中国](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup24/3.%20金数据数据架构调整方案Public.pdf) |

2
docs/ja/operations/performance-test.md
View File

@ -48,7 +48,7 @@ toc_title: "\u30CF\u30FC\u30C9\u30A6\u30A7\u30A2\u8A66\u9A13"
<!-- -->
wget https://datasets.clickhouse.tech/hits/partitions/hits_100m_obfuscated_v1.tar.xz
wget https://datasets.clickhouse.com/hits/partitions/hits_100m_obfuscated_v1.tar.xz
tar xvf hits_100m_obfuscated_v1.tar.xz -C .
mv hits_100m_obfuscated_v1/* .

2
docs/ru/development/contrib.md
View File

@ -92,7 +92,7 @@ toc_title: "Используемые сторонние библиотеки"
SELECT library_name, license_type, license_path FROM system.licenses ORDER BY library_name COLLATE 'en';
```
[Пример](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUIGxpYnJhcnlfbmFtZSwgbGljZW5zZV90eXBlLCBsaWNlbnNlX3BhdGggRlJPTSBzeXN0ZW0ubGljZW5zZXMgT1JERVIgQlkgbGlicmFyeV9uYW1lIENPTExBVEUgJ2VuJw==)
[Пример](https://gh-api.clickhouse.com/play?user=play#U0VMRUNUIGxpYnJhcnlfbmFtZSwgbGljZW5zZV90eXBlLCBsaWNlbnNlX3BhdGggRlJPTSBzeXN0ZW0ubGljZW5zZXMgT1JERVIgQlkgbGlicmFyeV9uYW1lIENPTExBVEUgJ2VuJw==)
## Рекомендации по добавлению сторонних библиотек и поддержанию в них пользовательских изменений {#adding-third-party-libraries}

4
docs/ru/development/developer-instruction.md
View File

@ -267,8 +267,8 @@ sudo ./llvm.sh 12
sudo apt install wget xz-utils
wget https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz
wget https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz
wget https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz
wget https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz
xz -v -d hits_v1.tsv.xz
xz -v -d visits_v1.tsv.xz

4
docs/ru/getting-started/example-datasets/brown-benchmark.md
View File

@ -9,7 +9,7 @@ toc_title: Brown University Benchmark
Скачать данные:
```
wget https://datasets.clickhouse.tech/mgbench{1..3}.csv.xz
wget https://datasets.clickhouse.com/mgbench{1..3}.csv.xz
```
Распаковать данные:
@ -411,5 +411,5 @@ ORDER BY yr,
mo;
```
Данные также доступны для работы с интерактивными запросами через [Playground](https://gh-api.clickhouse.tech/play?user=play), [пример](https://gh-api.clickhouse.tech/play?user=play#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).
Данные также доступны для работы с интерактивными запросами через [Playground](https://gh-api.clickhouse.com/play?user=play), [пример](https://gh-api.clickhouse.com/play?user=play#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).

4
docs/ru/getting-started/example-datasets/cell-towers.md
View File

@ -11,7 +11,7 @@ OpenCelliD Project имеет лицензию Creative Commons Attribution-Shar
## Как получить набор данных {#get-the-dataset}
1. Загрузите снэпшот набора данных за февраль 2021 [отсюда](https://datasets.clickhouse.tech/cell_towers.csv.xz) (729 MB).
1. Загрузите снэпшот набора данных за февраль 2021 [отсюда](https://datasets.clickhouse.com/cell_towers.csv.xz) (729 MB).
2. Если нужно, проверьте полноту и целостность при помощи команды:
@ -125,4 +125,4 @@ SELECT count() FROM cell_towers WHERE pointInPolygon((lon, lat), (SELECT * FROM
1 rows in set. Elapsed: 0.067 sec. Processed 43.28 million rows, 692.42 MB (645.83 million rows/s., 10.33 GB/s.)
```
Вы можете протестировать другие запросы с помощью интерактивного ресурса [Playground](https://gh-api.clickhouse.tech/play?user=play). Например, [вот так](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUIG1jYywgY291bnQoKSBGUk9NIGNlbGxfdG93ZXJzIEdST1VQIEJZIG1jYyBPUkRFUiBCWSBjb3VudCgpIERFU0M=). Однако, обратите внимание, что здесь нельзя создавать временные таблицы.
Вы можете протестировать другие запросы с помощью интерактивного ресурса [Playground](https://gh-api.clickhouse.com/play?user=play). Например, [вот так](https://gh-api.clickhouse.com/play?user=play#U0VMRUNUIG1jYywgY291bnQoKSBGUk9NIGNlbGxfdG93ZXJzIEdST1VQIEJZIG1jYyBPUkRFUiBCWSBjb3VudCgpIERFU0M=). Однако, обратите внимание, что здесь нельзя создавать временные таблицы.

10
docs/ru/getting-started/example-datasets/metrica.md
View File

@ -5,14 +5,14 @@ toc_title: "Анонимизированные данные Яндекс.Мет
# Анонимизированные данные Яндекс.Метрики {#anonimizirovannye-dannye-iandeks-metriki}
Датасет состоит из двух таблиц, содержащих анонимизированные данные о хитах (`hits_v1`) и визитах (`visits_v1`) Яндекс.Метрики. Каждую из таблиц можно скачать в виде сжатого `.tsv.xz`-файла или в виде уже готовых партиций. Также можно скачать расширенную версию таблицы `hits`, содержащую 100 миллионов строк в виде [архива c файлами TSV](https://datasets.clickhouse.tech/hits/tsv/hits_100m_obfuscated_v1.tsv.xz) и в виде [готовых партиций](https://datasets.clickhouse.tech/hits/partitions/hits_100m_obfuscated_v1.tar.xz).
Датасет состоит из двух таблиц, содержащих анонимизированные данные о хитах (`hits_v1`) и визитах (`visits_v1`) Яндекс.Метрики. Каждую из таблиц можно скачать в виде сжатого `.tsv.xz`-файла или в виде уже готовых партиций. Также можно скачать расширенную версию таблицы `hits`, содержащую 100 миллионов строк в виде [архива c файлами TSV](https://datasets.clickhouse.com/hits/tsv/hits_100m_obfuscated_v1.tsv.xz) и в виде [готовых партиций](https://datasets.clickhouse.com/hits/partitions/hits_100m_obfuscated_v1.tar.xz).
## Получение таблиц из партиций {#poluchenie-tablits-iz-partitsii}
**Скачивание и импортирование партиций hits:**
``` bash
$ curl -O https://datasets.clickhouse.tech/hits/partitions/hits_v1.tar
$ curl -O https://datasets.clickhouse.com/hits/partitions/hits_v1.tar
$ tar xvf hits_v1.tar -C /var/lib/clickhouse # путь к папке с данными ClickHouse
$ # убедитесь, что установлены корректные права доступа на файлы
$ sudo service clickhouse-server restart
@ -22,7 +22,7 @@ $ clickhouse-client --query "SELECT COUNT(*) FROM datasets.hits_v1"
**Скачивание и импортирование партиций visits:**
``` bash
$ curl -O https://datasets.clickhouse.tech/visits/partitions/visits_v1.tar
$ curl -O https://datasets.clickhouse.com/visits/partitions/visits_v1.tar
$ tar xvf visits_v1.tar -C /var/lib/clickhouse # путь к папке с данными ClickHouse
$ # убедитесь, что установлены корректные права доступа на файлы
$ sudo service clickhouse-server restart
@ -34,7 +34,7 @@ $ clickhouse-client --query "SELECT COUNT(*) FROM datasets.visits_v1"
**Скачивание и импортирование hits из сжатого tsv-файла**
``` bash
$ curl https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
$ curl https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
$ # теперь создадим таблицу
$ clickhouse-client --query "CREATE DATABASE IF NOT EXISTS datasets"
$ clickhouse-client --query "CREATE TABLE datasets.hits_v1 ( WatchID UInt64, JavaEnable UInt8, Title String, GoodEvent Int16, EventTime DateTime, EventDate Date, CounterID UInt32, ClientIP UInt32, ClientIP6 FixedString(16), RegionID UInt32, UserID UInt64, CounterClass Int8, OS UInt8, UserAgent UInt8, URL String, Referer String, URLDomain String, RefererDomain String, Refresh UInt8, IsRobot UInt8, RefererCategories Array(UInt16), URLCategories Array(UInt16), URLRegions Array(UInt32), RefererRegions Array(UInt32), ResolutionWidth UInt16, ResolutionHeight UInt16, ResolutionDepth UInt8, FlashMajor UInt8, FlashMinor UInt8, FlashMinor2 String, NetMajor UInt8, NetMinor UInt8, UserAgentMajor UInt16, UserAgentMinor FixedString(2), CookieEnable UInt8, JavascriptEnable UInt8, IsMobile UInt8, MobilePhone UInt8, MobilePhoneModel String, Params String, IPNetworkID UInt32, TraficSourceID Int8, SearchEngineID UInt16, SearchPhrase String, AdvEngineID UInt8, IsArtifical UInt8, WindowClientWidth UInt16, WindowClientHeight UInt16, ClientTimeZone Int16, ClientEventTime DateTime, SilverlightVersion1 UInt8, SilverlightVersion2 UInt8, SilverlightVersion3 UInt32, SilverlightVersion4 UInt16, PageCharset String, CodeVersion UInt32, IsLink UInt8, IsDownload UInt8, IsNotBounce UInt8, FUniqID UInt64, HID UInt32, IsOldCounter UInt8, IsEvent UInt8, IsParameter UInt8, DontCountHits UInt8, WithHash UInt8, HitColor FixedString(1), UTCEventTime DateTime, Age UInt8, Sex UInt8, Income UInt8, Interests UInt16, Robotness UInt8, GeneralInterests Array(UInt16), RemoteIP UInt32, RemoteIP6 FixedString(16), WindowName Int32, OpenerName Int32, HistoryLength Int16, BrowserLanguage FixedString(2), BrowserCountry FixedString(2), SocialNetwork String, SocialAction String, HTTPError UInt16, SendTiming Int32, DNSTiming Int32, ConnectTiming Int32, ResponseStartTiming Int32, ResponseEndTiming Int32, FetchTiming Int32, RedirectTiming Int32, DOMInteractiveTiming Int32, DOMContentLoadedTiming Int32, DOMCompleteTiming Int32, LoadEventStartTiming Int32, LoadEventEndTiming Int32, NSToDOMContentLoadedTiming Int32, FirstPaintTiming Int32, RedirectCount Int8, SocialSourceNetworkID UInt8, SocialSourcePage String, ParamPrice Int64, ParamOrderID String, ParamCurrency FixedString(3), ParamCurrencyID UInt16, GoalsReached Array(UInt32), OpenstatServiceName String, OpenstatCampaignID String, OpenstatAdID String, OpenstatSourceID String, UTMSource String, UTMMedium String, UTMCampaign String, UTMContent String, UTMTerm String, FromTag String, HasGCLID UInt8, RefererHash UInt64, URLHash UInt64, CLID UInt32, YCLID UInt64, ShareService String, ShareURL String, ShareTitle String, ParsedParams Nested(Key1 String, Key2 String, Key3 String, Key4 String, Key5 String, ValueDouble Float64), IslandID FixedString(16), RequestNum UInt32, RequestTry UInt8) ENGINE = MergeTree() PARTITION BY toYYYYMM(EventDate) ORDER BY (CounterID, EventDate, intHash32(UserID)) SAMPLE BY intHash32(UserID) SETTINGS index_granularity = 8192"
@ -48,7 +48,7 @@ $ clickhouse-client --query "SELECT COUNT(*) FROM datasets.hits_v1"
**Скачивание и импортирование visits из сжатого tsv-файла**
``` bash
$ curl https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
$ curl https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
$ # теперь создадим таблицу
$ clickhouse-client --query "CREATE DATABASE IF NOT EXISTS datasets"
$ clickhouse-client --query "CREATE TABLE datasets.visits_v1 ( CounterID UInt32, StartDate Date, Sign Int8, IsNew UInt8, VisitID UInt64, UserID UInt64, StartTime DateTime, Duration UInt32, UTCStartTime DateTime, PageViews Int32, Hits Int32, IsBounce UInt8, Referer String, StartURL String, RefererDomain String, StartURLDomain String, EndURL String, LinkURL String, IsDownload UInt8, TraficSourceID Int8, SearchEngineID UInt16, SearchPhrase String, AdvEngineID UInt8, PlaceID Int32, RefererCategories Array(UInt16), URLCategories Array(UInt16), URLRegions Array(UInt32), RefererRegions Array(UInt32), IsYandex UInt8, GoalReachesDepth Int32, GoalReachesURL Int32, GoalReachesAny Int32, SocialSourceNetworkID UInt8, SocialSourcePage String, MobilePhoneModel String, ClientEventTime DateTime, RegionID UInt32, ClientIP UInt32, ClientIP6 FixedString(16), RemoteIP UInt32, RemoteIP6 FixedString(16), IPNetworkID UInt32, SilverlightVersion3 UInt32, CodeVersion UInt32, ResolutionWidth UInt16, ResolutionHeight UInt16, UserAgentMajor UInt16, UserAgentMinor UInt16, WindowClientWidth UInt16, WindowClientHeight UInt16, SilverlightVersion2 UInt8, SilverlightVersion4 UInt16, FlashVersion3 UInt16, FlashVersion4 UInt16, ClientTimeZone Int16, OS UInt8, UserAgent UInt8, ResolutionDepth UInt8, FlashMajor UInt8, FlashMinor UInt8, NetMajor UInt8, NetMinor UInt8, MobilePhone UInt8, SilverlightVersion1 UInt8, Age UInt8, Sex UInt8, Income UInt8, JavaEnable UInt8, CookieEnable UInt8, JavascriptEnable UInt8, IsMobile UInt8, BrowserLanguage UInt16, BrowserCountry UInt16, Interests UInt16, Robotness UInt8, GeneralInterests Array(UInt16), Params Array(String), Goals Nested(ID UInt32, Serial UInt32, EventTime DateTime, Price Int64, OrderID String, CurrencyID UInt32), WatchIDs Array(UInt64), ParamSumPrice Int64, ParamCurrency FixedString(3), ParamCurrencyID UInt16, ClickLogID UInt64, ClickEventID Int32, ClickGoodEvent Int32, ClickEventTime DateTime, ClickPriorityID Int32, ClickPhraseID Int32, ClickPageID Int32, ClickPlaceID Int32, ClickTypeID Int32, ClickResourceID Int32, ClickCost UInt32, ClickClientIP UInt32, ClickDomainID UInt32, ClickURL String, ClickAttempt UInt8, ClickOrderID UInt32, ClickBannerID UInt32, ClickMarketCategoryID UInt32, ClickMarketPP UInt32, ClickMarketCategoryName String, ClickMarketPPName String, ClickAWAPSCampaignName String, ClickPageName String, ClickTargetType UInt16, ClickTargetPhraseID UInt64, ClickContextType UInt8, ClickSelectType Int8, ClickOptions String, ClickGroupBannerID Int32, OpenstatServiceName String, OpenstatCampaignID String, OpenstatAdID String, OpenstatSourceID String, UTMSource String, UTMMedium String, UTMCampaign String, UTMContent String, UTMTerm String, FromTag String, HasGCLID UInt8, FirstVisit DateTime, PredLastVisit Date, LastVisit Date, TotalVisits UInt32, TraficSource Nested(ID Int8, SearchEngineID UInt16, AdvEngineID UInt8, PlaceID UInt16, SocialSourceNetworkID UInt8, Domain String, SearchPhrase String, SocialSourcePage String), Attendance FixedString(16), CLID UInt32, YCLID UInt64, NormalizedRefererHash UInt64, SearchPhraseHash UInt64, RefererDomainHash UInt64, NormalizedStartURLHash UInt64, StartURLDomainHash UInt64, NormalizedEndURLHash UInt64, TopLevelDomain UInt64, URLScheme UInt64, OpenstatServiceNameHash UInt64, OpenstatCampaignIDHash UInt64, OpenstatAdIDHash UInt64, OpenstatSourceIDHash UInt64, UTMSourceHash UInt64, UTMMediumHash UInt64, UTMCampaignHash UInt64, UTMContentHash UInt64, UTMTermHash UInt64, FromHash UInt64, WebVisorEnabled UInt8, WebVisorActivity UInt32, ParsedParams Nested(Key1 String, Key2 String, Key3 String, Key4 String, Key5 String, ValueDouble Float64), Market Nested(Type UInt8, GoalID UInt32, OrderID String, OrderPrice Int64, PP UInt32, DirectPlaceID UInt32, DirectOrderID UInt32, DirectBannerID UInt32, GoodID String, GoodName String, GoodQuantity Int32, GoodPrice Int64), IslandID FixedString(16)) ENGINE = CollapsingMergeTree(Sign) PARTITION BY toYYYYMM(StartDate) ORDER BY (CounterID, StartDate, intHash32(UserID), VisitID) SAMPLE BY intHash32(UserID) SETTINGS index_granularity = 8192"

2
docs/ru/getting-started/example-datasets/nyc-taxi.md
View File

@ -283,7 +283,7 @@ SELECT formatReadableSize(sum(bytes)) FROM system.parts WHERE table = 'trips_mer
## Скачивание готовых партиций {#skachivanie-gotovykh-partitsii}
``` bash
$ curl -O https://datasets.clickhouse.tech/trips_mergetree/partitions/trips_mergetree.tar
$ curl -O https://datasets.clickhouse.com/trips_mergetree/partitions/trips_mergetree.tar
$ tar xvf trips_mergetree.tar -C /var/lib/clickhouse # путь к папке с данными ClickHouse
$ # убедитесь, что установлены корректные права доступа на файлы
$ sudo service clickhouse-server restart

2
docs/ru/getting-started/example-datasets/ontime.md
View File

@ -153,7 +153,7 @@ ls -1 *.zip | xargs -I{} -P $(nproc) bash -c "echo {}; unzip -cq {} '*.csv' | se
## Скачивание готовых партиций {#skachivanie-gotovykh-partitsii}
``` bash
$ curl -O https://datasets.clickhouse.tech/ontime/partitions/ontime.tar
$ curl -O https://datasets.clickhouse.com/ontime/partitions/ontime.tar
$ tar xvf ontime.tar -C /var/lib/clickhouse # путь к папке с данными ClickHouse
$ # убедитесь, что установлены корректные права доступа на файлы
$ sudo service clickhouse-server restart

2
docs/ru/getting-started/example-datasets/recipes.md
View File

@ -337,6 +337,6 @@ WHERE title = 'Chocolate-Strawberry-Orange Wedding Cake';
### Online Playground
Этот набор данных доступен в [Online Playground](https://gh-api.clickhouse.tech/play?user=play#U0VMRUNUCiAgICBhcnJheUpvaW4oTkVSKSBBUyBrLAogICAgY291bnQoKSBBUyBjCkZST00gcmVjaXBlcwpHUk9VUCBCWSBrCk9SREVSIEJZIGMgREVTQwpMSU1JVCA1MA==).
Этот набор данных доступен в [Online Playground](https://gh-api.clickhouse.com/play?user=play#U0VMRUNUCiAgICBhcnJheUpvaW4oTkVSKSBBUyBrLAogICAgY291bnQoKSBBUyBjCkZST00gcmVjaXBlcwpHUk9VUCBCWSBrCk9SREVSIEJZIGMgREVTQwpMSU1JVCA1MA==).
[Оригинальная статья](https://clickhouse.com/docs/ru/getting-started/example-datasets/recipes/) <!--hide-->

30
docs/ru/getting-started/install.md
View File

@ -27,11 +27,11 @@ grep -q sse4_2 /proc/cpuinfo && echo "SSE 4.2 supported" || echo "SSE 4.2 not su
{% include 'install/deb.sh' %}
```
Также эти пакеты можно скачать и установить вручную отсюда: https://repo.clickhouse.tech/deb/stable/main/.
Также эти пакеты можно скачать и установить вручную отсюда: https://repo.clickhouse.com/deb/stable/main/.
Если вы хотите использовать наиболее свежую версию, замените `stable` на `testing` (рекомендуется для тестовых окружений).
Также вы можете вручную скачать и установить пакеты из [репозитория](https://repo.clickhouse.tech/deb/stable/main/).
Также вы можете вручную скачать и установить пакеты из [репозитория](https://repo.clickhouse.com/deb/stable/main/).
#### Пакеты {#packages}
@ -52,8 +52,8 @@ grep -q sse4_2 /proc/cpuinfo && echo "SSE 4.2 supported" || echo "SSE 4.2 not su
``` bash
sudo yum install yum-utils
sudo rpm --import https://repo.clickhouse.tech/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.tech/rpm/stable/x86_64
sudo rpm --import https://repo.clickhouse.com/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.com/rpm/stable/x86_64
```
Для использования наиболее свежих версий нужно заменить `stable` на `testing` (рекомендуется для тестовых окружений). Также иногда доступен `prestable`.
@ -64,21 +64,21 @@ sudo yum-config-manager --add-repo https://repo.clickhouse.tech/rpm/stable/x86_6
sudo yum install clickhouse-server clickhouse-client
```
Также есть возможность установить пакеты вручную, скачав отсюда: https://repo.clickhouse.tech/rpm/stable/x86_64.
Также есть возможность установить пакеты вручную, скачав отсюда: https://repo.clickhouse.com/rpm/stable/x86_64.
### Из Tgz архивов {#from-tgz-archives}
Команда ClickHouse в Яндексе рекомендует использовать предкомпилированные бинарники из `tgz` архивов для всех дистрибутивов, где невозможна установка `deb` и `rpm` пакетов.
Интересующую версию архивов можно скачать вручную с помощью `curl` или `wget` из репозитория https://repo.clickhouse.tech/tgz/.
Интересующую версию архивов можно скачать вручную с помощью `curl` или `wget` из репозитория https://repo.clickhouse.com/tgz/.
После этого архивы нужно распаковать и воспользоваться скриптами установки. Пример установки самой свежей версии:
``` bash
export LATEST_VERSION=`curl https://api.github.com/repos/ClickHouse/ClickHouse/tags 2>/dev/null | grep -Eo '[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+' | head -n 1`
curl -O https://repo.clickhouse.tech/tgz/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-client-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-client-$LATEST_VERSION.tgz
tar -xzvf clickhouse-common-static-$LATEST_VERSION.tgz
sudo clickhouse-common-static-$LATEST_VERSION/install/doinst.sh
@ -102,10 +102,10 @@ sudo clickhouse-client-$LATEST_VERSION/install/doinst.sh
### Из единого бинарного файла {#from-single-binary}
Для установки ClickHouse под Linux можно использовать единый переносимый бинарный файл из последнего коммита ветки `master`: [https://builds.clickhouse.tech/master/amd64/clickhouse].
Для установки ClickHouse под Linux можно использовать единый переносимый бинарный файл из последнего коммита ветки `master`: [https://builds.clickhouse.com/master/amd64/clickhouse].
``` bash
curl -O 'https://builds.clickhouse.tech/master/amd64/clickhouse' && chmod a+x clickhouse
curl -O 'https://builds.clickhouse.com/master/amd64/clickhouse' && chmod a+x clickhouse
sudo ./clickhouse install
```
@ -113,9 +113,9 @@ sudo ./clickhouse install
Для других операционных систем и архитектуры AArch64 сборки ClickHouse предоставляются в виде кросс-компилированного бинарного файла из последнего коммита ветки `master` (с задержкой в несколько часов).
- [macOS](https://builds.clickhouse.tech/master/macos/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/macos/clickhouse' && chmod a+x ./clickhouse`
- [FreeBSD](https://builds.clickhouse.tech/master/freebsd/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/freebsd/clickhouse' && chmod a+x ./clickhouse`
- [AArch64](https://builds.clickhouse.tech/master/aarch64/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/aarch64/clickhouse' && chmod a+x ./clickhouse`
- [macOS](https://builds.clickhouse.com/master/macos/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/macos/clickhouse' && chmod a+x ./clickhouse`
- [FreeBSD](https://builds.clickhouse.com/master/freebsd/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/freebsd/clickhouse' && chmod a+x ./clickhouse`
- [AArch64](https://builds.clickhouse.com/master/aarch64/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/aarch64/clickhouse' && chmod a+x ./clickhouse`
После скачивания можно воспользоваться `clickhouse client` для подключения к серверу или `clickhouse local` для обработки локальных данных.

14
docs/ru/getting-started/playground.md
View File

@ -5,7 +5,7 @@ toc_title: Playground
# ClickHouse Playground {#clickhouse-playground}
[ClickHouse Playground](https://play.clickhouse.tech) позволяет пользователям экспериментировать с ClickHouse, мгновенно выполняя запросы без настройки своего сервера или кластера.
[ClickHouse Playground](https://play.clickhouse.com) позволяет пользователям экспериментировать с ClickHouse, мгновенно выполняя запросы без настройки своего сервера или кластера.
В Playground доступны несколько тестовых массивов данных, а также примеры запросов, которые показывают возможности ClickHouse. Кроме того, вы можете выбрать LTS релиз ClickHouse, который хотите протестировать.
ClickHouse Playground дает возможность поработать с [Managed Service for ClickHouse](https://cloud.yandex.com/services/managed-clickhouse) в конфигурации m2.small (4 vCPU, 32 ГБ ОЗУ), которую предосталяет [Яндекс.Облако](https://cloud.yandex.com/). Дополнительную информацию об облачных провайдерах читайте в разделе [Поставщики облачных услуг ClickHouse](../commercial/cloud.md).
@ -16,15 +16,15 @@ ClickHouse Playground дает возможность поработать с [
| Параметр | Значение |
|:--------------------|:----------------------------------------|
| Конечная точка HTTPS| `https://play-api.clickhouse.tech:8443` |
| Конечная точка TCP | `play-api.clickhouse.tech:9440` |
| Конечная точка HTTPS| `https://play-api.clickhouse.com:8443` |
| Конечная точка TCP | `play-api.clickhouse.com:9440` |
| Пользователь | `playground` |
| Пароль | `clickhouse` |
Также можно подключаться к ClickHouse определённых релизов, чтобы протестировать их различия (порты и пользователь / пароль остаются неизменными):
- 20.3 LTS: `play-api-v20-3.clickhouse.tech`
- 19.14 LTS: `play-api-v19-14.clickhouse.tech`
- 20.3 LTS: `play-api-v20-3.clickhouse.com`
- 19.14 LTS: `play-api-v19-14.clickhouse.com`
!!! note "Примечание"
Для всех этих конечных точек требуется безопасное соединение TLS.
@ -46,13 +46,13 @@ ClickHouse Playground дает возможность поработать с [
Пример конечной точки HTTPS с `curl`:
``` bash
curl "https://play-api.clickhouse.tech:8443/?query=SELECT+'Play+ClickHouse\!';&user=playground&password=clickhouse&database=datasets"
curl "https://play-api.clickhouse.com:8443/?query=SELECT+'Play+ClickHouse\!';&user=playground&password=clickhouse&database=datasets"
```
Пример конечной точки TCP с [CLI](../interfaces/cli.md):
``` bash
clickhouse client --secure -h play-api.clickhouse.tech --port 9440 -u playground --password clickhouse -q "SELECT 'Play ClickHouse\!'"
clickhouse client --secure -h play-api.clickhouse.com --port 9440 -u playground --password clickhouse -q "SELECT 'Play ClickHouse\!'"
```
## Детали реализации {#implementation-details}

4
docs/ru/getting-started/tutorial.md
View File

@ -85,8 +85,8 @@ Now it’s time to fill our ClickHouse server with some sample data. In this tut
### Download and Extract Table Data {#download-and-extract-table-data}
``` bash
curl https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
curl https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
```
The extracted files are about 10GB in size.

2
docs/ru/sql-reference/functions/other-functions.md
View File

@ -1148,7 +1148,7 @@ SELECT * FROM table WHERE indexHint(<expression>)
Возвращает диапазон индекса, в котором выполняется заданное условие.
Тип: [Uint8](https://clickhouse.tech/docs/ru/data_types/int_uint/#diapazony-uint).
Тип: [Uint8](https://clickhouse.com/docs/ru/data_types/int_uint/#diapazony-uint).
**Пример**

6
docs/tools/deploy-to-test.sh
View File

@ -7,8 +7,8 @@
# 1) Set up building documentation according to https://github.com/ClickHouse/ClickHouse/tree/master/docs/tools#use-buildpy-use-build-py
# 2) Create https://github.com/GIT_USER/clickhouse.github.io repo (replace GIT_USER with your GitHub login)
# 3) Enable GitHub Pages in settings of this repo
# 4) Add file named CNAME in root of this repo with "GIT_USER-test.clickhouse.tech" content (without quotes)
# 5) Send email on address from https://clickhouse.tech/#contacts asking to create GIT_USER-test.clickhouse.tech domain
# 4) Add file named CNAME in root of this repo with "GIT_USER-test.clickhouse.com" content (without quotes)
# 5) Send email on address from https://clickhouse.com/#contacts asking to create GIT_USER-test.clickhouse.com domain
#
set -ex
@ -16,7 +16,7 @@ BASE_DIR=$(dirname $(readlink -f $0))
GIT_USER=${GIT_USER:-$USER}
GIT_TEST_URI=git@github.com:${GIT_USER}/clickhouse.github.io.git \
BASE_DOMAIN=${GIT_USER}-test.clickhouse.tech \
BASE_DOMAIN=${GIT_USER}-test.clickhouse.com \
EXTRA_BUILD_ARGS="${@}" \
CLOUDFLARE_TOKEN="" \
HISTORY_SIZE=3 \

4
docs/tools/release.sh
View File

@ -4,7 +4,7 @@ set -ex
BASE_DIR=$(dirname $(readlink -f $0))
BUILD_DIR="${BASE_DIR}/../build"
PUBLISH_DIR="${BASE_DIR}/../publish"
BASE_DOMAIN="${BASE_DOMAIN:-content.clickhouse.tech}"
BASE_DOMAIN="${BASE_DOMAIN:-content.clickhouse.com}"
GIT_TEST_URI="${GIT_TEST_URI:-git@github.com:ClickHouse/clickhouse-website-content.git}"
GIT_PROD_URI="git@github.com:ClickHouse/clickhouse-website-content.git"
EXTRA_BUILD_ARGS="${EXTRA_BUILD_ARGS:---minify --verbose}"
@ -41,7 +41,7 @@ then
then
sleep 1m
# https://api.cloudflare.com/#zone-purge-files-by-cache-tags,-host-or-prefix
POST_DATA='{"hosts":["content.clickhouse.tech"]}'
POST_DATA='{"hosts":["content.clickhouse.com"]}'
curl -X POST "https://api.cloudflare.com/client/v4/zones/4fc6fb1d46e87851605aa7fa69ca6fe0/purge_cache" -H "Authorization: Bearer ${CLOUDFLARE_TOKEN}" -H "Content-Type:application/json" --data "${POST_DATA}"
fi
fi

4
docs/zh/development/developer-instruction.md
View File

@ -238,8 +238,8 @@ ClickHouse的架构描述可以在此处查看：https://clickhouse.com/docs/en/
sudo apt install wget xz-utils
wget https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz
wget https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz
wget https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz
wget https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz
xz -v -d hits_v1.tsv.xz
xz -v -d visits_v1.tsv.xz

10
docs/zh/getting-started/example-datasets/metrica.md
View File

@ -7,14 +7,14 @@ toc_title: Yandex.Metrica Data
数据集由两个表组成，包含关于Yandex.Metrica的hits(`hits_v1`)和visit(`visits_v1`)的匿名数据。你可以阅读更多关于Yandex的信息。在[ClickHouse历史](../../introduction/history.md)的Metrica部分。
数据集由两个表组成，他们中的任何一个都可以下载作为一个压缩`tsv.xz`的文件或准备的分区。除此之外,一个扩展版的`hits`表包含1亿行TSV在https://datasets.clickhouse.tech/hits/tsv/hits_100m_obfuscated_v1.tsv.xz，准备分区在https://datasets.clickhouse.tech/hits/partitions/hits_100m_obfuscated_v1.tar.xz。
数据集由两个表组成，他们中的任何一个都可以下载作为一个压缩`tsv.xz`的文件或准备的分区。除此之外,一个扩展版的`hits`表包含1亿行TSV在https://datasets.clickhouse.com/hits/tsv/hits_100m_obfuscated_v1.tsv.xz，准备分区在https://datasets.clickhouse.com/hits/partitions/hits_100m_obfuscated_v1.tar.xz。
## 从准备好的分区获取表 {#obtaining-tables-from-prepared-partitions}
下载和导入`hits`表:
``` bash
curl -O https://datasets.clickhouse.tech/hits/partitions/hits_v1.tar
curl -O https://datasets.clickhouse.com/hits/partitions/hits_v1.tar
tar xvf hits_v1.tar -C /var/lib/clickhouse # path to ClickHouse data directory
# check permissions on unpacked data, fix if required
sudo service clickhouse-server restart
@ -24,7 +24,7 @@ clickhouse-client --query "SELECT COUNT(*) FROM datasets.hits_v1"
下载和导入`visits`表:
``` bash
curl -O https://datasets.clickhouse.tech/visits/partitions/visits_v1.tar
curl -O https://datasets.clickhouse.com/visits/partitions/visits_v1.tar
tar xvf visits_v1.tar -C /var/lib/clickhouse # path to ClickHouse data directory
# check permissions on unpacked data, fix if required
sudo service clickhouse-server restart
@ -36,7 +36,7 @@ clickhouse-client --query "SELECT COUNT(*) FROM datasets.visits_v1"
从TSV压缩文件下载并导入`hits`:
``` bash
curl https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
# now create table
clickhouse-client --query "CREATE DATABASE IF NOT EXISTS datasets"
clickhouse-client --query "CREATE TABLE datasets.hits_v1 ( WatchID UInt64, JavaEnable UInt8, Title String, GoodEvent Int16, EventTime DateTime, EventDate Date, CounterID UInt32, ClientIP UInt32, ClientIP6 FixedString(16), RegionID UInt32, UserID UInt64, CounterClass Int8, OS UInt8, UserAgent UInt8, URL String, Referer String, URLDomain String, RefererDomain String, Refresh UInt8, IsRobot UInt8, RefererCategories Array(UInt16), URLCategories Array(UInt16), URLRegions Array(UInt32), RefererRegions Array(UInt32), ResolutionWidth UInt16, ResolutionHeight UInt16, ResolutionDepth UInt8, FlashMajor UInt8, FlashMinor UInt8, FlashMinor2 String, NetMajor UInt8, NetMinor UInt8, UserAgentMajor UInt16, UserAgentMinor FixedString(2), CookieEnable UInt8, JavascriptEnable UInt8, IsMobile UInt8, MobilePhone UInt8, MobilePhoneModel String, Params String, IPNetworkID UInt32, TraficSourceID Int8, SearchEngineID UInt16, SearchPhrase String, AdvEngineID UInt8, IsArtifical UInt8, WindowClientWidth UInt16, WindowClientHeight UInt16, ClientTimeZone Int16, ClientEventTime DateTime, SilverlightVersion1 UInt8, SilverlightVersion2 UInt8, SilverlightVersion3 UInt32, SilverlightVersion4 UInt16, PageCharset String, CodeVersion UInt32, IsLink UInt8, IsDownload UInt8, IsNotBounce UInt8, FUniqID UInt64, HID UInt32, IsOldCounter UInt8, IsEvent UInt8, IsParameter UInt8, DontCountHits UInt8, WithHash UInt8, HitColor FixedString(1), UTCEventTime DateTime, Age UInt8, Sex UInt8, Income UInt8, Interests UInt16, Robotness UInt8, GeneralInterests Array(UInt16), RemoteIP UInt32, RemoteIP6 FixedString(16), WindowName Int32, OpenerName Int32, HistoryLength Int16, BrowserLanguage FixedString(2), BrowserCountry FixedString(2), SocialNetwork String, SocialAction String, HTTPError UInt16, SendTiming Int32, DNSTiming Int32, ConnectTiming Int32, ResponseStartTiming Int32, ResponseEndTiming Int32, FetchTiming Int32, RedirectTiming Int32, DOMInteractiveTiming Int32, DOMContentLoadedTiming Int32, DOMCompleteTiming Int32, LoadEventStartTiming Int32, LoadEventEndTiming Int32, NSToDOMContentLoadedTiming Int32, FirstPaintTiming Int32, RedirectCount Int8, SocialSourceNetworkID UInt8, SocialSourcePage String, ParamPrice Int64, ParamOrderID String, ParamCurrency FixedString(3), ParamCurrencyID UInt16, GoalsReached Array(UInt32), OpenstatServiceName String, OpenstatCampaignID String, OpenstatAdID String, OpenstatSourceID String, UTMSource String, UTMMedium String, UTMCampaign String, UTMContent String, UTMTerm String, FromTag String, HasGCLID UInt8, RefererHash UInt64, URLHash UInt64, CLID UInt32, YCLID UInt64, ShareService String, ShareURL String, ShareTitle String, ParsedParams Nested(Key1 String, Key2 String, Key3 String, Key4 String, Key5 String, ValueDouble Float64), IslandID FixedString(16), RequestNum UInt32, RequestTry UInt8) ENGINE = MergeTree() PARTITION BY toYYYYMM(EventDate) ORDER BY (CounterID, EventDate, intHash32(UserID)) SAMPLE BY intHash32(UserID) SETTINGS index_granularity = 8192"
@ -50,7 +50,7 @@ clickhouse-client --query "SELECT COUNT(*) FROM datasets.hits_v1"
从压缩tsv文件下载和导入`visits`:
``` bash
curl https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
curl https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
# now create table
clickhouse-client --query "CREATE DATABASE IF NOT EXISTS datasets"
clickhouse-client --query "CREATE TABLE datasets.visits_v1 ( CounterID UInt32, StartDate Date, Sign Int8, IsNew UInt8, VisitID UInt64, UserID UInt64, StartTime DateTime, Duration UInt32, UTCStartTime DateTime, PageViews Int32, Hits Int32, IsBounce UInt8, Referer String, StartURL String, RefererDomain String, StartURLDomain String, EndURL String, LinkURL String, IsDownload UInt8, TraficSourceID Int8, SearchEngineID UInt16, SearchPhrase String, AdvEngineID UInt8, PlaceID Int32, RefererCategories Array(UInt16), URLCategories Array(UInt16), URLRegions Array(UInt32), RefererRegions Array(UInt32), IsYandex UInt8, GoalReachesDepth Int32, GoalReachesURL Int32, GoalReachesAny Int32, SocialSourceNetworkID UInt8, SocialSourcePage String, MobilePhoneModel String, ClientEventTime DateTime, RegionID UInt32, ClientIP UInt32, ClientIP6 FixedString(16), RemoteIP UInt32, RemoteIP6 FixedString(16), IPNetworkID UInt32, SilverlightVersion3 UInt32, CodeVersion UInt32, ResolutionWidth UInt16, ResolutionHeight UInt16, UserAgentMajor UInt16, UserAgentMinor UInt16, WindowClientWidth UInt16, WindowClientHeight UInt16, SilverlightVersion2 UInt8, SilverlightVersion4 UInt16, FlashVersion3 UInt16, FlashVersion4 UInt16, ClientTimeZone Int16, OS UInt8, UserAgent UInt8, ResolutionDepth UInt8, FlashMajor UInt8, FlashMinor UInt8, NetMajor UInt8, NetMinor UInt8, MobilePhone UInt8, SilverlightVersion1 UInt8, Age UInt8, Sex UInt8, Income UInt8, JavaEnable UInt8, CookieEnable UInt8, JavascriptEnable UInt8, IsMobile UInt8, BrowserLanguage UInt16, BrowserCountry UInt16, Interests UInt16, Robotness UInt8, GeneralInterests Array(UInt16), Params Array(String), Goals Nested(ID UInt32, Serial UInt32, EventTime DateTime, Price Int64, OrderID String, CurrencyID UInt32), WatchIDs Array(UInt64), ParamSumPrice Int64, ParamCurrency FixedString(3), ParamCurrencyID UInt16, ClickLogID UInt64, ClickEventID Int32, ClickGoodEvent Int32, ClickEventTime DateTime, ClickPriorityID Int32, ClickPhraseID Int32, ClickPageID Int32, ClickPlaceID Int32, ClickTypeID Int32, ClickResourceID Int32, ClickCost UInt32, ClickClientIP UInt32, ClickDomainID UInt32, ClickURL String, ClickAttempt UInt8, ClickOrderID UInt32, ClickBannerID UInt32, ClickMarketCategoryID UInt32, ClickMarketPP UInt32, ClickMarketCategoryName String, ClickMarketPPName String, ClickAWAPSCampaignName String, ClickPageName String, ClickTargetType UInt16, ClickTargetPhraseID UInt64, ClickContextType UInt8, ClickSelectType Int8, ClickOptions String, ClickGroupBannerID Int32, OpenstatServiceName String, OpenstatCampaignID String, OpenstatAdID String, OpenstatSourceID String, UTMSource String, UTMMedium String, UTMCampaign String, UTMContent String, UTMTerm String, FromTag String, HasGCLID UInt8, FirstVisit DateTime, PredLastVisit Date, LastVisit Date, TotalVisits UInt32, TraficSource Nested(ID Int8, SearchEngineID UInt16, AdvEngineID UInt8, PlaceID UInt16, SocialSourceNetworkID UInt8, Domain String, SearchPhrase String, SocialSourcePage String), Attendance FixedString(16), CLID UInt32, YCLID UInt64, NormalizedRefererHash UInt64, SearchPhraseHash UInt64, RefererDomainHash UInt64, NormalizedStartURLHash UInt64, StartURLDomainHash UInt64, NormalizedEndURLHash UInt64, TopLevelDomain UInt64, URLScheme UInt64, OpenstatServiceNameHash UInt64, OpenstatCampaignIDHash UInt64, OpenstatAdIDHash UInt64, OpenstatSourceIDHash UInt64, UTMSourceHash UInt64, UTMMediumHash UInt64, UTMCampaignHash UInt64, UTMContentHash UInt64, UTMTermHash UInt64, FromHash UInt64, WebVisorEnabled UInt8, WebVisorActivity UInt32, ParsedParams Nested(Key1 String, Key2 String, Key3 String, Key4 String, Key5 String, ValueDouble Float64), Market Nested(Type UInt8, GoalID UInt32, OrderID String, OrderPrice Int64, PP UInt32, DirectPlaceID UInt32, DirectOrderID UInt32, DirectBannerID UInt32, GoodID String, GoodName String, GoodQuantity Int32, GoodPrice Int64), IslandID FixedString(16)) ENGINE = CollapsingMergeTree(Sign) PARTITION BY toYYYYMM(StartDate) ORDER BY (CounterID, StartDate, intHash32(UserID), VisitID) SAMPLE BY intHash32(UserID) SETTINGS index_granularity = 8192"

2
docs/zh/getting-started/example-datasets/nyc-taxi.md
View File

@ -283,7 +283,7 @@ SELECT formatReadableSize(sum(bytes)) FROM system.parts WHERE table = 'trips_mer
## 下载预处理好的分区数据 {#xia-zai-yu-chu-li-hao-de-fen-qu-shu-ju}
``` bash
$ curl -O https://datasets.clickhouse.tech/trips_mergetree/partitions/trips_mergetree.tar
$ curl -O https://datasets.clickhouse.com/trips_mergetree/partitions/trips_mergetree.tar
$ tar xvf trips_mergetree.tar -C /var/lib/clickhouse # path to ClickHouse data directory
$ # check permissions of unpacked data, fix if required
$ sudo service clickhouse-server restart

2
docs/zh/getting-started/example-datasets/ontime.md
View File

@ -155,7 +155,7 @@ ls -1 *.zip | xargs -I{} -P $(nproc) bash -c "echo {}; unzip -cq {} '*.csv' | se
## 下载预处理好的分区数据 {#xia-zai-yu-chu-li-hao-de-fen-qu-shu-ju}
``` bash
$ curl -O https://datasets.clickhouse.tech/ontime/partitions/ontime.tar
$ curl -O https://datasets.clickhouse.com/ontime/partitions/ontime.tar
$ tar xvf ontime.tar -C /var/lib/clickhouse # path to ClickHouse data directory
$ # check permissions of unpacked data, fix if required
$ sudo service clickhouse-server restart

24
docs/zh/getting-started/install.md
View File

@ -29,7 +29,7 @@ $ grep -q sse4_2 /proc/cpuinfo && echo "SSE 4.2 supported" || echo "SSE 4.2 not
如果您想使用最新的版本，请用`testing`替代`stable`(我们只推荐您用于测试环境)。
你也可以从这里手动下载安装包：[下载](https://repo.clickhouse.tech/deb/stable/main/)。
你也可以从这里手动下载安装包：[下载](https://repo.clickhouse.com/deb/stable/main/)。
安装包列表：
@ -46,8 +46,8 @@ $ grep -q sse4_2 /proc/cpuinfo && echo "SSE 4.2 supported" || echo "SSE 4.2 not
``` bash
sudo yum install yum-utils
sudo rpm --import https://repo.clickhouse.tech/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.tech/rpm/stable/x86_64
sudo rpm --import https://repo.clickhouse.com/CLICKHOUSE-KEY.GPG
sudo yum-config-manager --add-repo https://repo.clickhouse.com/rpm/stable/x86_64
```
如果您想使用最新的版本，请用`testing`替代`stable`(我们只推荐您用于测试环境)。`prestable`有时也可用。
@ -58,22 +58,22 @@ sudo yum-config-manager --add-repo https://repo.clickhouse.tech/rpm/stable/x86_6
sudo yum install clickhouse-server clickhouse-client
```
你也可以从这里手动下载安装包：[下载](https://repo.clickhouse.tech/rpm/stable/x86_64)。
你也可以从这里手动下载安装包：[下载](https://repo.clickhouse.com/rpm/stable/x86_64)。
### `Tgz`安装包 {#from-tgz-archives}
如果您的操作系统不支持安装`deb`或`rpm`包，建议使用官方预编译的`tgz`软件包。
所需的版本可以通过`curl`或`wget`从存储库`https://repo.clickhouse.tech/tgz/`下载。
所需的版本可以通过`curl`或`wget`从存储库`https://repo.clickhouse.com/tgz/`下载。
下载后解压缩下载资源文件并使用安装脚本进行安装。以下是一个最新版本的安装示例:
``` bash
export LATEST_VERSION=`curl https://api.github.com/repos/ClickHouse/ClickHouse/tags 2>/dev/null | grep -Eo '[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+' | head -n 1`
curl -O https://repo.clickhouse.tech/tgz/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.tech/tgz/clickhouse-client-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-common-static-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-common-static-dbg-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-server-$LATEST_VERSION.tgz
curl -O https://repo.clickhouse.com/tgz/clickhouse-client-$LATEST_VERSION.tgz
tar -xzvf clickhouse-common-static-$LATEST_VERSION.tgz
sudo clickhouse-common-static-$LATEST_VERSION/install/doinst.sh
@ -99,9 +99,9 @@ sudo clickhouse-client-$LATEST_VERSION/install/doinst.sh
对于非linux操作系统和Arch64 CPU架构，ClickHouse将会以`master`分支的最新提交的进行编译提供(它将会有几小时的延迟)。
- [macOS](https://builds.clickhouse.tech/master/macos/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/macos/clickhouse' && chmod a+x ./clickhouse`
- [FreeBSD](https://builds.clickhouse.tech/master/freebsd/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/freebsd/clickhouse' && chmod a+x ./clickhouse`
- [AArch64](https://builds.clickhouse.tech/master/aarch64/clickhouse) — `curl -O 'https://builds.clickhouse.tech/master/aarch64/clickhouse' && chmod a+x ./clickhouse`
- [macOS](https://builds.clickhouse.com/master/macos/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/macos/clickhouse' && chmod a+x ./clickhouse`
- [FreeBSD](https://builds.clickhouse.com/master/freebsd/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/freebsd/clickhouse' && chmod a+x ./clickhouse`
- [AArch64](https://builds.clickhouse.com/master/aarch64/clickhouse) — `curl -O 'https://builds.clickhouse.com/master/aarch64/clickhouse' && chmod a+x ./clickhouse`
下载后，您可以使用`clickhouse client`连接服务，或者使用`clickhouse local`模式处理数据，不过您必须要额外在GitHub下载[server](https://github.com/ClickHouse/ClickHouse/blob/master/programs/server/config.xml)和[users](https://github.com/ClickHouse/ClickHouse/blob/master/programs/server/users.xml)配置文件。

14
docs/zh/getting-started/playground.md
View File

@ -5,7 +5,7 @@ toc_title: 体验平台
# ClickHouse体验平台 {#clickhouse-playground}
[ClickHouse体验平台](https://play.clickhouse.tech?file=welcome) 允许人们通过即时运行查询来尝试ClickHouse，而无需设置他们的服务器或集群。
[ClickHouse体验平台](https://play.clickhouse.com?file=welcome) 允许人们通过即时运行查询来尝试ClickHouse，而无需设置他们的服务器或集群。
体验平台中提供几个示例数据集以及显示ClickHouse特性的示例查询。还有一些ClickHouse LTS版本可供尝试。
@ -17,15 +17,15 @@ ClickHouse体验平台提供了小型集群[Managed Service for ClickHouse](http
| 参数 | 值 |
|:--------------------|:----------------------------------------|
| HTTPS端点 | `https://play-api.clickhouse.tech:8443` |
| TCP端点 | `play-api.clickhouse.tech:9440` |
| HTTPS端点 | `https://play-api.clickhouse.com:8443` |
| TCP端点 | `play-api.clickhouse.com:9440` |
| 用户 | `playground` |
| 密码 | `clickhouse` |
还有一些带有特定ClickHouse版本的附加信息来试验它们之间的差异(端口和用户/密码与上面相同):
- 20.3 LTS: `play-api-v20-3.clickhouse.tech`
- 19.14 LTS: `play-api-v19-14.clickhouse.tech`
- 20.3 LTS: `play-api-v20-3.clickhouse.com`
- 19.14 LTS: `play-api-v19-14.clickhouse.com`
!!! note "注意"
所有这些端点都需要安全的TLS连接。
@ -53,13 +53,13 @@ ClickHouse体验还有如下：
使用`curl`连接Https服务：
``` bash
curl "https://play-api.clickhouse.tech:8443/?query=SELECT+'Play+ClickHouse\!';&user=playground&password=clickhouse&database=datasets"
curl "https://play-api.clickhouse.com:8443/?query=SELECT+'Play+ClickHouse\!';&user=playground&password=clickhouse&database=datasets"
```
TCP连接示例[CLI](../interfaces/cli.md):
``` bash
clickhouse client --secure -h play-api.clickhouse.tech --port 9440 -u playground --password clickhouse -q "SELECT 'Play ClickHouse\!'"
clickhouse client --secure -h play-api.clickhouse.com --port 9440 -u playground --password clickhouse -q "SELECT 'Play ClickHouse\!'"
```
## Implementation Details {#implementation-details}

4
docs/zh/getting-started/tutorial.md
View File

@ -85,8 +85,8 @@ clickhouse-client --query='INSERT INTO table FORMAT TabSeparated' < data.tsv
### 下载并提取表数据 {#download-and-extract-table-data}
``` bash
curl https://datasets.clickhouse.tech/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.tech/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
curl https://datasets.clickhouse.com/hits/tsv/hits_v1.tsv.xz | unxz --threads=`nproc` > hits_v1.tsv
curl https://datasets.clickhouse.com/visits/tsv/visits_v1.tsv.xz | unxz --threads=`nproc` > visits_v1.tsv
```
提取的文件大小约为10GB。

8
docs/zh/introduction/adopters.md
View File

@ -15,7 +15,7 @@ toc_title: "ClickHouse用户"
| [阿玛迪斯](https://amadeus.com/) | 旅行 | 分析 | — | — | [新闻稿,四月2018](https://www.altinity.com/blog/2018/4/5/amadeus-technologies-launches-investment-and-insights-tool-based-on-machine-learning-and-strategy-algorithms) |
| [Appsflyer](https://www.appsflyer.com) | 移动分析 | 主要产品 | — | — | [俄文，2019年7月](https://www.youtube.com/watch?v=M3wbRlcpBbY) |
| [ArenaData](https://arenadata.tech/) | 数据平台 | 主要产品 | — | — | [俄文幻灯片，十二月2019](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup38/indexes.pdf) |
| [Badoo](https://badoo.com) | 约会 | 时间序列 | — | — | [俄文幻灯片，十二月2019](https://presentations.clickhouse.tech/meetup38/forecast.pdf) |
| [Badoo](https://badoo.com) | 约会 | 时间序列 | — | — | [俄文幻灯片，十二月2019](https://presentations.clickhouse.com/meetup38/forecast.pdf) |
| [Benocs](https://www.benocs.com/) | 网络遥测和分析 | 主要产品 | — | — | [英文幻灯片，2017年10月](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup9/lpm.pdf) |
| [彭博社](https://www.bloomberg.com/) | 金融、媒体 | 监测 | 102个服务器 | — | [幻灯片，2018年5月](https://www.slideshare.net/Altinity/http-analytics-for-6m-requests-per-second-using-clickhouse-by-alexander-bocharov) |
| [Bloxy](https://bloxy.info) | 区块链 | 分析 | — | — | [俄文幻灯片，八月2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup17/4_bloxy.pptx) |
@ -65,15 +65,15 @@ toc_title: "ClickHouse用户"
| [Spotify](https://www.spotify.com) | 音乐 | 实验 | — | — | [幻灯片，七月2018](https://www.slideshare.net/glebus/using-clickhouse-for-experimentation-104247173) |
| [腾讯](https://www.tencent.com) | 大数据 | 数据处理 | — | — | [中文幻灯片，2018年10月](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup19/5.%20ClickHouse大数据集群应用_李俊飞腾讯网媒事业部.pdf) |
| <a href="https://www.tencentmusic.com/" class="favicon">腾讯QQ音乐(TME)</a> | 大数据 | 数据处理 | — | — | [博客文章，2020年6月](https://cloud.tencent.com/developer/article/1637840)
| [优步](https://www.uber.com) | 出租车 | 日志记录 | — | — | [幻灯片，二月2020](https://presentations.clickhouse.tech/meetup40/uber.pdf) |
| [优步](https://www.uber.com) | 出租车 | 日志记录 | — | — | [幻灯片，二月2020](https://presentations.clickhouse.com/meetup40/uber.pdf) |
| [VKontakte](https://vk.com) | 社交网络 | 统计，日志记录 | — | — | [俄文幻灯片，八月2018](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup17/3_vk.pdf) |
| [Wisebits](https://wisebits.com/) | IT解决方案 | 分析 | — | — | [俄文幻灯片，2019年5月](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup22/strategies.pdf) |
| [晓信科技](https://www.xiaoheiban.cn/) | 教育 | 共同目的 | — | — | [英文幻灯片，2019年11月](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup33/sync-clickhouse-with-mysql-mongodb.pptx) |
| [喜马拉雅](https://www.ximalaya.com/) | 音频共享 | OLAP | — | — | [英文幻灯片，2019年11月](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup33/ximalaya.pdf) |
| [Yandex云](https://cloud.yandex.ru/services/managed-clickhouse) | 公有云 | 主要产品 | — | — | [俄文，2019年12月](https://www.youtube.com/watch?v=pgnak9e_E0o) |
| [Yandex DataLens](https://cloud.yandex.ru/services/datalens) | 商业智能 | 主要产品 | — | — | [俄文幻灯片，十二月2019](https://presentations.clickhouse.tech/meetup38/datalens.pdf) |
| [Yandex DataLens](https://cloud.yandex.ru/services/datalens) | 商业智能 | 主要产品 | — | — | [俄文幻灯片，十二月2019](https://presentations.clickhouse.com/meetup38/datalens.pdf) |
| [Yandex市场](https://market.yandex.ru/) | 电子商务 | 指标，日志记录 | — | — | [俄文，2019年1月](https://youtu.be/_l1qP0DyBcA?t=478) |
| [Yandex Metrica](https://metrica.yandex.com) | 网站分析 | 主要产品 | 一个集群中的360台服务器，一个部门中的1862台服务器 | 66.41PiB/5.68PiB | [幻灯片，二月2020](https://presentations.clickhouse.tech/meetup40/introduction/#13) |
| [Yandex Metrica](https://metrica.yandex.com) | 网站分析 | 主要产品 | 一个集群中的360台服务器，一个部门中的1862台服务器 | 66.41PiB/5.68PiB | [幻灯片，二月2020](https://presentations.clickhouse.com/meetup40/introduction/#13) |
| [ЦВТ](https://htc-cs.ru/) | 软件开发 | 指标，日志记录 | — | — | [博客文章,三月2019，俄文](https://vc.ru/dev/62715-kak-my-stroili-monitoring-na-prometheus-clickhouse-i-elk) |
| [МКБ](https://mkb.ru/) | 银行 | 网络系统监控 | — | — | [俄文幻灯片，2019年9月](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup28/mkb.pdf) |
| [金数据](https://jinshuju.net) | 商业智能分析 | 主要产品 | — | — | [中文幻灯片，2019年10月](https://github.com/ClickHouse/clickhouse-presentations/blob/master/meetup24/3.%20金数据数据架构调整方案Public.pdf) |

2
docs/zh/operations/performance-test.md
View File

@ -48,7 +48,7 @@ toc_title: "\u6D4B\u8BD5\u786C\u4EF6"
<!-- -->
wget https://datasets.clickhouse.tech/hits/partitions/hits_100m_obfuscated_v1.tar.xz
wget https://datasets.clickhouse.com/hits/partitions/hits_100m_obfuscated_v1.tar.xz
tar xvf hits_100m_obfuscated_v1.tar.xz -C .
mv hits_100m_obfuscated_v1/* .

14
programs/CMakeLists.txt
View File

@ -11,28 +11,28 @@ option (ENABLE_CLICKHOUSE_SERVER "Server mode (main mode)" ${ENABLE_CLICKHOUSE_A
option (ENABLE_CLICKHOUSE_CLIENT "Client mode (interactive tui/shell that connects to the server)"
${ENABLE_CLICKHOUSE_ALL})
# https://clickhouse.tech/docs/en/operations/utilities/clickhouse-local/
# https://clickhouse.com/docs/en/operations/utilities/clickhouse-local/
option (ENABLE_CLICKHOUSE_LOCAL "Local files fast processing mode" ${ENABLE_CLICKHOUSE_ALL})
# https://clickhouse.tech/docs/en/operations/utilities/clickhouse-benchmark/
# https://clickhouse.com/docs/en/operations/utilities/clickhouse-benchmark/
option (ENABLE_CLICKHOUSE_BENCHMARK "Queries benchmarking mode" ${ENABLE_CLICKHOUSE_ALL})
option (ENABLE_CLICKHOUSE_EXTRACT_FROM_CONFIG "Configs processor (extract values etc.)" ${ENABLE_CLICKHOUSE_ALL})
# https://clickhouse.tech/docs/en/operations/utilities/clickhouse-compressor/
# https://clickhouse.com/docs/en/operations/utilities/clickhouse-compressor/
option (ENABLE_CLICKHOUSE_COMPRESSOR "Data compressor and decompressor" ${ENABLE_CLICKHOUSE_ALL})
# https://clickhouse.tech/docs/en/operations/utilities/clickhouse-copier/
# https://clickhouse.com/docs/en/operations/utilities/clickhouse-copier/
option (ENABLE_CLICKHOUSE_COPIER "Inter-cluster data copying mode" ${ENABLE_CLICKHOUSE_ALL})
option (ENABLE_CLICKHOUSE_FORMAT "Queries pretty-printer and formatter with syntax highlighting"
${ENABLE_CLICKHOUSE_ALL})
# https://clickhouse.tech/docs/en/operations/utilities/clickhouse-obfuscator/
# https://clickhouse.com/docs/en/operations/utilities/clickhouse-obfuscator/
option (ENABLE_CLICKHOUSE_OBFUSCATOR "Table data obfuscator (convert real data to benchmark-ready one)"
${ENABLE_CLICKHOUSE_ALL})
# https://clickhouse.tech/docs/en/operations/utilities/odbc-bridge/
# https://clickhouse.com/docs/en/operations/utilities/odbc-bridge/
# TODO Also needs NANODBC.
if (ENABLE_ODBC)
option (ENABLE_CLICKHOUSE_ODBC_BRIDGE "HTTP-server working like a proxy to ODBC driver"
@ -44,7 +44,7 @@ endif ()
option (ENABLE_CLICKHOUSE_LIBRARY_BRIDGE "HTTP-server working like a proxy to Library dictionary source"
${ENABLE_CLICKHOUSE_ALL})
# https://presentations.clickhouse.tech/matemarketing_2020/
# https://presentations.clickhouse.com/matemarketing_2020/
option (ENABLE_CLICKHOUSE_GIT_IMPORT "A tool to analyze Git repositories" ${ENABLE_CLICKHOUSE_ALL})
option (ENABLE_CLICKHOUSE_STATIC_FILES_DISK_UPLOADER "A tool to export table data files to be later put to a static files web server" ${ENABLE_CLICKHOUSE_ALL})

14
programs/server/config.xml
View File

@ -586,7 +586,7 @@
-->
<!-- Configuration of clusters that could be used in Distributed tables.
https://clickhouse.tech/docs/en/operations/table_engines/distributed/
https://clickhouse.com/docs/en/operations/table_engines/distributed/
-->
<remote_servers>
<!-- Test only shard config for testing distributed storage -->
@ -724,7 +724,7 @@
<!-- ZooKeeper is used to store metadata about replicas, when using Replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/
See https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/replication/
-->
<!--
@ -747,7 +747,7 @@
<!-- Substitutions for parameters of replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/#creating-replicated-tables
See https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/replication/#creating-replicated-tables
-->
<!--
<macros>
@ -834,7 +834,7 @@
<database>system</database>
<table>query_log</table>
<!--
PARTITION BY expr: https://clickhouse.tech/docs/en/table_engines/mergetree-family/custom_partitioning_key/
PARTITION BY expr: https://clickhouse.com/docs/en/table_engines/mergetree-family/custom_partitioning_key/
Example:
event_date
toMonday(event_date)
@ -843,7 +843,7 @@
-->
<partition_by>toYYYYMM(event_date)</partition_by>
<!--
Table TTL specification: https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/mergetree/#mergetree-table-ttl
Table TTL specification: https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree/#mergetree-table-ttl
Example:
event_date + INTERVAL 1 WEEK
event_date + INTERVAL 7 DAY DELETE
@ -975,7 +975,7 @@
</session_log>
<!-- Parameters for embedded dictionaries, used in Yandex.Metrica.
See https://clickhouse.tech/docs/en/dicts/internal_dicts/
See https://clickhouse.com/docs/en/dicts/internal_dicts/
-->
<!-- Path to file with region hierarchy. -->
@ -999,7 +999,7 @@
</top_level_domains_lists>
<!-- Configuration of external dictionaries. See:
https://clickhouse.tech/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts
https://clickhouse.com/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts
-->
<dictionaries_config>*_dictionary.xml</dictionaries_config>

16
programs/server/config.yaml.example
View File

@ -1,6 +1,6 @@
# This is an example of a configuration file "config.xml" rewritten in YAML
# You can read this documentation for detailed information about YAML configuration:
# https://clickhouse.tech/docs/en/operations/configuration-files/
# https://clickhouse.com/docs/en/operations/configuration-files/
# NOTE: User and query level settings are set up in "users.yaml" file.
# If you have accidentally specified user-level settings here, server won't start.
@ -509,7 +509,7 @@ remap_executable: false
# port: 9019
# Configuration of clusters that could be used in Distributed tables.
# https://clickhouse.tech/docs/en/operations/table_engines/distributed/
# https://clickhouse.com/docs/en/operations/table_engines/distributed/
remote_servers:
# Test only shard config for testing distributed storage
test_shard_localhost:
@ -606,7 +606,7 @@ remote_servers:
# ZooKeeper is used to store metadata about replicas, when using Replicated tables.
# Optional. If you don't use replicated tables, you could omit that.
# See https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/
# See https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/replication/
# zookeeper:
# - node:
@ -621,7 +621,7 @@ remote_servers:
# Substitutions for parameters of replicated tables.
# Optional. If you don't use replicated tables, you could omit that.
# See https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/#creating-replicated-tables
# See https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/replication/#creating-replicated-tables
# macros:
# shard: 01
# replica: example01-01-1
@ -693,7 +693,7 @@ query_log:
database: system
table: query_log
# PARTITION BY expr: https://clickhouse.tech/docs/en/table_engines/mergetree-family/custom_partitioning_key/
# PARTITION BY expr: https://clickhouse.com/docs/en/table_engines/mergetree-family/custom_partitioning_key/
# Example:
# event_date
# toMonday(event_date)
@ -701,7 +701,7 @@ query_log:
# toStartOfHour(event_time)
partition_by: toYYYYMM(event_date)
# Table TTL specification: https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/mergetree/#mergetree-table-ttl
# Table TTL specification: https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree/#mergetree-table-ttl
# Example:
# event_date + INTERVAL 1 WEEK
# event_date + INTERVAL 7 DAY DELETE
@ -801,7 +801,7 @@ crash_log:
flush_interval_milliseconds: 1000
# Parameters for embedded dictionaries, used in Yandex.Metrica.
# See https://clickhouse.tech/docs/en/dicts/internal_dicts/
# See https://clickhouse.com/docs/en/dicts/internal_dicts/
# Path to file with region hierarchy.
# path_to_regions_hierarchy_file: /opt/geo/regions_hierarchy.txt
@ -821,7 +821,7 @@ top_level_domains_lists: ''
# public_suffix_list: /path/to/public_suffix_list.dat
# Configuration of external dictionaries. See:
# https://clickhouse.tech/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts
# https://clickhouse.com/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts
dictionaries_config: '*_dictionary.xml'
# Uncomment if you want data to be compressed 30-100% better.

2
src/Columns/IColumnUnique.h
View File

@ -82,7 +82,7 @@ public:
* @see DB::ReverseIndex
* @see DB::ColumnUnique
*
* The most common example uses https://clickhouse.tech/docs/en/sql-reference/data-types/lowcardinality/ columns.
* The most common example uses https://clickhouse.com/docs/en/sql-reference/data-types/lowcardinality/ columns.
* Consider data type @e LC(String). The inner type here is @e String which is more or less a contiguous memory
* region, so it can be easily represented as a @e StringRef. So we pass that ref to this function and get its
* index in the dictionary, which can be used to operate with the indices column.

2
src/Storages/MergeTree/SimpleMergeSelector.h
View File

@ -63,7 +63,7 @@ merge selecting algorithm is applied and the relevant metrics are calculated to
their sizes, at what time intervals they are inserted;
There is a research thesis dedicated to optimization of merge algorithm:
https://presentations.clickhouse.tech/hse_2019/merge_algorithm.pptx
https://presentations.clickhouse.com/hse_2019/merge_algorithm.pptx
This work made attempt to variate the coefficients in SimpleMergeSelector and to solve the optimization task:
maybe some change in coefficients will give a clear win on all metrics. Surprisingly enough, it has found

4
src/Storages/MergeTree/registerStorageMergeTree.cpp
View File

@ -249,9 +249,9 @@ ORDER BY expr
[TTL expr [DELETE|TO DISK 'xxx'|TO VOLUME 'xxx'], ...]
[SETTINGS name=value, ...]
See details in documentation: https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/mergetree/. Other engines of the family support different syntax, see details in the corresponding documentation topics.
See details in documentation: https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree/. Other engines of the family support different syntax, see details in the corresponding documentation topics.
If you use the Replicated version of engines, see https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/.
If you use the Replicated version of engines, see https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/replication/.
)";
return help;

8
tests/instructions/easy_tasks_sorted_ru.md
View File

@ -62,9 +62,9 @@ void memoryBitAnd(const char * a, const char * b, char * result, size_t size);
## + Функции создания и обновления состояния агрегатной функции по одному кортежу аргументов.
В ClickHouse есть понятие - состояние вычисления агрегатной функции. Состояния агрегатных функций можно записывать в таблицы, складывать, финализировать и т. п. https://clickhouse.tech/docs/ru/data_types/nested_data_structures/aggregatefunction/
В ClickHouse есть понятие - состояние вычисления агрегатной функции. Состояния агрегатных функций можно записывать в таблицы, складывать, финализировать и т. п. https://clickhouse.com/docs/ru/data_types/nested_data_structures/aggregatefunction/
Получить состояние агрегатной функции можно с помощью комбинатора State: https://clickhouse.tech/docs/ru/query_language/agg_functions/combinators/#-state Но хотелось бы добавить ещё более простой способ получения состояния агрегатной функции.
Получить состояние агрегатной функции можно с помощью комбинатора State: https://clickhouse.com/docs/ru/query_language/agg_functions/combinators/#-state Но хотелось бы добавить ещё более простой способ получения состояния агрегатной функции.
Например:
@ -139,7 +139,7 @@ position с конца строки.
## Возможность использовать ALIAS столбцы при INSERT.
https://clickhouse.tech/docs/en/query_language/create/#create-table
https://clickhouse.com/docs/en/query_language/create/#create-table
`INSERT INTO table (column1, column2, ...)`
@ -177,7 +177,7 @@ world │ 123 │
## Работоспособность внешних данных на время сессии.
https://clickhouse.tech/docs/en/operations/table_engines/external_data/
https://clickhouse.com/docs/en/operations/table_engines/external_data/
Не работает, если открыть clickhouse-client в интерактивном режиме и делать несколько запросов.

12
tests/integration/test_config_corresponding_root/configs/config.xml
View File

@ -155,7 +155,7 @@
<mlock_executable>false</mlock_executable>
<!-- Configuration of clusters that could be used in Distributed tables.
https://clickhouse.tech/docs/en/table_engines/distributed/
https://clickhouse.com/docs/en/table_engines/distributed/
-->
<remote_servers incl="clickhouse_remote_servers" >
<!-- Test only shard config for testing distributed storage -->
@ -215,14 +215,14 @@
<!-- ZooKeeper is used to store metadata about replicas, when using Replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/table_engines/replication/
See https://clickhouse.com/docs/en/table_engines/replication/
-->
<zookeeper incl="zookeeper-servers" optional="true" />
<!-- Substitutions for parameters of replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/table_engines/replication/#creating-replicated-tables
See https://clickhouse.com/docs/en/table_engines/replication/#creating-replicated-tables
-->
<macros incl="macros" optional="true" />
@ -282,7 +282,7 @@
<database>system</database>
<table>query_log</table>
<!--
PARTITION BY expr https://clickhouse.tech/docs/en/table_engines/custom_partitioning_key/
PARTITION BY expr https://clickhouse.com/docs/en/table_engines/custom_partitioning_key/
Example:
event_date
toMonday(event_date)
@ -313,7 +313,7 @@
</part_log>
<!-- Parameters for embedded dictionaries, used in Yandex.Metrica.
See https://clickhouse.tech/docs/en/dicts/internal_dicts/
See https://clickhouse.com/docs/en/dicts/internal_dicts/
-->
<!-- Path to file with region hierarchy. -->
@ -324,7 +324,7 @@
<!-- Configuration of external dictionaries. See:
https://clickhouse.tech/docs/en/dicts/external_dicts/
https://clickhouse.com/docs/en/dicts/external_dicts/
-->
<dictionaries_config>*_dictionary.xml</dictionaries_config>

14
tests/integration/test_config_xml_full/configs/config.xml
View File

@ -546,7 +546,7 @@
-->
<!-- Configuration of clusters that could be used in Distributed tables.
https://clickhouse.tech/docs/en/operations/table_engines/distributed/
https://clickhouse.com/docs/en/operations/table_engines/distributed/
-->
<remote_servers>
<!-- Test only shard config for testing distributed storage -->
@ -682,7 +682,7 @@
<!-- ZooKeeper is used to store metadata about replicas, when using Replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/
See https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/replication/
-->
<!--
@ -705,7 +705,7 @@
<!-- Substitutions for parameters of replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/replication/#creating-replicated-tables
See https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/replication/#creating-replicated-tables
-->
<!--
<macros>
@ -792,7 +792,7 @@
<database>system</database>
<table>query_log</table>
<!--
PARTITION BY expr: https://clickhouse.tech/docs/en/table_engines/mergetree-family/custom_partitioning_key/
PARTITION BY expr: https://clickhouse.com/docs/en/table_engines/mergetree-family/custom_partitioning_key/
Example:
event_date
toMonday(event_date)
@ -801,7 +801,7 @@
-->
<partition_by>toYYYYMM(event_date)</partition_by>
<!--
Table TTL specification: https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/mergetree/#mergetree-table-ttl
Table TTL specification: https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree/#mergetree-table-ttl
Example:
event_date + INTERVAL 1 WEEK
event_date + INTERVAL 7 DAY DELETE
@ -915,7 +915,7 @@
</crash_log>
<!-- Parameters for embedded dictionaries, used in Yandex.Metrica.
See https://clickhouse.tech/docs/en/dicts/internal_dicts/
See https://clickhouse.com/docs/en/dicts/internal_dicts/
-->
<!-- Path to file with region hierarchy. -->
@ -939,7 +939,7 @@
</top_level_domains_lists>
<!-- Configuration of external dictionaries. See:
https://clickhouse.tech/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts
https://clickhouse.com/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts
-->
<dictionaries_config>*_dictionary.xml</dictionaries_config>

12
tests/integration/test_https_replication/configs/config.xml
View File

@ -142,7 +142,7 @@
<!-- <umask>022</umask> -->
<!-- Configuration of clusters that could be used in Distributed tables.
https://clickhouse.tech/docs/en/table_engines/distributed/
https://clickhouse.com/docs/en/table_engines/distributed/
-->
<remote_servers incl="clickhouse_remote_servers" >
<!-- Test only shard config for testing distributed storage -->
@ -174,14 +174,14 @@
<!-- ZooKeeper is used to store metadata about replicas, when using Replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/table_engines/replication/
See https://clickhouse.com/docs/en/table_engines/replication/
-->
<zookeeper incl="zookeeper-servers" optional="true" />
<!-- Substitutions for parameters of replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/table_engines/replication/#creating-replicated-tables
See https://clickhouse.com/docs/en/table_engines/replication/#creating-replicated-tables
-->
<macros incl="macros" optional="true" />
@ -241,7 +241,7 @@
<database>system</database>
<table>query_log</table>
<!--
PARTITION BY expr https://clickhouse.tech/docs/en/table_engines/custom_partitioning_key/
PARTITION BY expr https://clickhouse.com/docs/en/table_engines/custom_partitioning_key/
Example:
event_date
toMonday(event_date)
@ -265,7 +265,7 @@
<!-- Parameters for embedded dictionaries, used in Yandex.Metrica.
See https://clickhouse.tech/docs/en/dicts/internal_dicts/
See https://clickhouse.com/docs/en/dicts/internal_dicts/
-->
<!-- Path to file with region hierarchy. -->
@ -276,7 +276,7 @@
<!-- Configuration of external dictionaries. See:
https://clickhouse.tech/docs/en/dicts/external_dicts/
https://clickhouse.com/docs/en/dicts/external_dicts/
-->
<dictionaries_config>*_dictionary.xml</dictionaries_config>

2
tests/integration/test_storage_kerberized_hdfs/hdfs_configs/bootstrap.sh
View File

@ -207,7 +207,7 @@ EOF
useradd -u 1098 hdfs
# keytool -genkey -alias kerberized_hdfs1.test.clickhouse.tech -keyalg rsa -keysize 1024 -dname "CN=kerberized_hdfs1.test.clickhouse.tech" -keypass masterkey -keystore /usr/local/hadoop/etc/hadoop/conf/hdfs.jks -storepass masterkey
# keytool -genkey -alias kerberized_hdfs1.test.clickhouse.com -keyalg rsa -keysize 1024 -dname "CN=kerberized_hdfs1.test.clickhouse.com" -keypass masterkey -keystore /usr/local/hadoop/etc/hadoop/conf/hdfs.jks -storepass masterkey
keytool -genkey -alias kerberizedhdfs1 -keyalg rsa -keysize 1024 -dname "CN=kerberizedhdfs1" -keypass masterkey -keystore /usr/local/hadoop/etc/hadoop/conf/hdfs.jks -storepass masterkey
chmod g+r /usr/local/hadoop/etc/hadoop/conf/hdfs.jks

2
tests/integration/test_storage_kerberized_hdfs/kerberos_image_config.sh
View File

@ -4,7 +4,7 @@
set -x # trace
: "${REALM:=TEST.CLICKHOUSE.TECH}"
: "${DOMAIN_REALM:=test.clickhouse.tech}"
: "${DOMAIN_REALM:=test.clickhouse.com}"
: "${KERB_MASTER_KEY:=masterkey}"
: "${KERB_ADMIN_USER:=admin}"
: "${KERB_ADMIN_PASS:=admin}"

4
tests/integration/test_storage_kerberized_hdfs/secrets/krb.conf
View File

@ -20,5 +20,5 @@
}
[domain_realm]
.test.clickhouse.tech = TEST.CLICKHOUSE.TECH
test.clickhouse.tech = TEST.CLICKHOUSE.TECH
.test.clickhouse.com = TEST.CLICKHOUSE.TECH
test.clickhouse.com = TEST.CLICKHOUSE.TECH

4
tests/integration/test_storage_kerberized_hdfs/secrets/krb_long.conf
View File

@ -20,5 +20,5 @@
}
[domain_realm]
.test.clickhouse.tech = TEST.CLICKHOUSE.TECH
test.clickhouse.tech = TEST.CLICKHOUSE.TECH
.test.clickhouse.com = TEST.CLICKHOUSE.TECH
test.clickhouse.com = TEST.CLICKHOUSE.TECH

2
tests/integration/test_storage_kerberized_kafka/kerberos_image_config.sh
View File

@ -4,7 +4,7 @@
set -x # trace
: "${REALM:=TEST.CLICKHOUSE.TECH}"
: "${DOMAIN_REALM:=test.clickhouse.tech}"
: "${DOMAIN_REALM:=test.clickhouse.com}"
: "${KERB_MASTER_KEY:=masterkey}"
: "${KERB_ADMIN_USER:=admin}"
: "${KERB_ADMIN_PASS:=admin}"

2
tests/jepsen.clickhouse-keeper/project.clj
View File

@ -1,7 +1,7 @@
(defproject jepsen.keeper "0.1.0-SNAPSHOT"
:injections [(.. System (setProperty "zookeeper.request.timeout" "10000"))]
:description "A jepsen tests for ClickHouse Keeper"
:url "https://clickhouse.tech/"
:url "https://clickhouse.com/"
:license {:name "EPL-2.0"
:url "https://www.eclipse.org/legal/epl-2.0/"}
:main jepsen.clickhouse-keeper.main

12
tests/testflows/aes_encryption/configs/clickhouse/config.xml
View File

@ -158,7 +158,7 @@
<mlock_executable>false</mlock_executable>
<!-- Configuration of clusters that could be used in Distributed tables.
https://clickhouse.tech/docs/en/table_engines/distributed/
https://clickhouse.com/docs/en/table_engines/distributed/
-->
<remote_servers incl="remote" >
<!-- Test only shard config for testing distributed storage -->
@ -218,14 +218,14 @@
<!-- ZooKeeper is used to store metadata about replicas, when using Replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/table_engines/replication/
See https://clickhouse.com/docs/en/table_engines/replication/
-->
<zookeeper incl="zookeeper" optional="true" />
<!-- Substitutions for parameters of replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/table_engines/replication/#creating-replicated-tables
See https://clickhouse.com/docs/en/table_engines/replication/#creating-replicated-tables
-->
<macros incl="macros" optional="true" />
@ -285,7 +285,7 @@
<database>system</database>
<table>query_log</table>
<!--
PARTITION BY expr https://clickhouse.tech/docs/en/table_engines/custom_partitioning_key/
PARTITION BY expr https://clickhouse.com/docs/en/table_engines/custom_partitioning_key/
Example:
event_date
toMonday(event_date)
@ -335,7 +335,7 @@
-->
<!-- Parameters for embedded dictionaries, used in Yandex.Metrica.
See https://clickhouse.tech/docs/en/dicts/internal_dicts/
See https://clickhouse.com/docs/en/dicts/internal_dicts/
-->
<!-- Path to file with region hierarchy. -->
@ -346,7 +346,7 @@
<!-- Configuration of external dictionaries. See:
https://clickhouse.tech/docs/en/dicts/external_dicts/
https://clickhouse.com/docs/en/dicts/external_dicts/
-->
<dictionaries_config>*_dictionary.xml</dictionaries_config>

16
tests/testflows/aes_encryption/requirements/requirements.md
View File

@ -940,17 +940,17 @@ version: 1.0
* **GDPR:** https://en.wikipedia.org/wiki/General_Data_Protection_Regulation
* **MySQL:** https://www.mysql.com/
* **AES:** https://en.wikipedia.org/wiki/Advanced_Encryption_Standard
* **ClickHouse:** https://clickhouse.tech
* **ClickHouse:** https://clickhouse.com
* **Git:** https://git-scm.com/
[AEAD]: #aead
[OpenSSL]: https://www.openssl.org/
[LowCardinality]: https://clickhouse.tech/docs/en/sql-reference/data-types/lowcardinality/
[MergeTree]: https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/mergetree/
[MySQL Database Engine]: https://clickhouse.tech/docs/en/engines/database-engines/mysql/
[MySQL Table Engine]: https://clickhouse.tech/docs/en/engines/table-engines/integrations/mysql/
[MySQL Table Function]: https://clickhouse.tech/docs/en/sql-reference/table-functions/mysql/
[MySQL Dictionary]: https://clickhouse.tech/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts-dict-sources/#dicts-external_dicts_dict_sources-mysql
[LowCardinality]: https://clickhouse.com/docs/en/sql-reference/data-types/lowcardinality/
[MergeTree]: https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree/
[MySQL Database Engine]: https://clickhouse.com/docs/en/engines/database-engines/mysql/
[MySQL Table Engine]: https://clickhouse.com/docs/en/engines/table-engines/integrations/mysql/
[MySQL Table Function]: https://clickhouse.com/docs/en/sql-reference/table-functions/mysql/
[MySQL Dictionary]: https://clickhouse.com/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts-dict-sources/#dicts-external_dicts_dict_sources-mysql
[GCM]: https://en.wikipedia.org/wiki/Galois/Counter_Mode
[CTR]: https://en.wikipedia.org/wiki/Block_cipher_mode_of_operation#Counter_(CTR)
[CBC]: https://en.wikipedia.org/wiki/Block_cipher_mode_of_operation#Cipher_block_chaining_(CBC)
@ -965,7 +965,7 @@ version: 1.0
[MySQL aes_encrypt]: https://dev.mysql.com/doc/refman/5.7/en/encryption-functions.html#function_aes-encrypt
[MySQL aes_decrypt]: https://dev.mysql.com/doc/refman/5.7/en/encryption-functions.html#function_aes-decrypt
[AES]: https://en.wikipedia.org/wiki/Advanced_Encryption_Standard
[ClickHouse]: https://clickhouse.tech
[ClickHouse]: https://clickhouse.com
[GitHub repository]: https://github.com/ClickHouse/ClickHouse/blob/master/tests/testflows/aes_encryption/requirements/requirements.md
[Revision history]: https://github.com/ClickHouse/ClickHouse/commits/master/tests/testflows/aes_encryption/requirements/requirements.md
[Git]: https://git-scm.com/

16
tests/testflows/aes_encryption/requirements/requirements.py
View File

@ -2862,17 +2862,17 @@ version: 1.0
* **GDPR:** https://en.wikipedia.org/wiki/General_Data_Protection_Regulation
* **MySQL:** https://www.mysql.com/
* **AES:** https://en.wikipedia.org/wiki/Advanced_Encryption_Standard
* **ClickHouse:** https://clickhouse.tech
* **ClickHouse:** https://clickhouse.com
* **Git:** https://git-scm.com/
[AEAD]: #aead
[OpenSSL]: https://www.openssl.org/
[LowCardinality]: https://clickhouse.tech/docs/en/sql-reference/data-types/lowcardinality/
[MergeTree]: https://clickhouse.tech/docs/en/engines/table-engines/mergetree-family/mergetree/
[MySQL Database Engine]: https://clickhouse.tech/docs/en/engines/database-engines/mysql/
[MySQL Table Engine]: https://clickhouse.tech/docs/en/engines/table-engines/integrations/mysql/
[MySQL Table Function]: https://clickhouse.tech/docs/en/sql-reference/table-functions/mysql/
[MySQL Dictionary]: https://clickhouse.tech/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts-dict-sources/#dicts-external_dicts_dict_sources-mysql
[LowCardinality]: https://clickhouse.com/docs/en/sql-reference/data-types/lowcardinality/
[MergeTree]: https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree/
[MySQL Database Engine]: https://clickhouse.com/docs/en/engines/database-engines/mysql/
[MySQL Table Engine]: https://clickhouse.com/docs/en/engines/table-engines/integrations/mysql/
[MySQL Table Function]: https://clickhouse.com/docs/en/sql-reference/table-functions/mysql/
[MySQL Dictionary]: https://clickhouse.com/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts-dict-sources/#dicts-external_dicts_dict_sources-mysql
[GCM]: https://en.wikipedia.org/wiki/Galois/Counter_Mode
[CTR]: https://en.wikipedia.org/wiki/Block_cipher_mode_of_operation#Counter_(CTR)
[CBC]: https://en.wikipedia.org/wiki/Block_cipher_mode_of_operation#Cipher_block_chaining_(CBC)
@ -2887,7 +2887,7 @@ version: 1.0
[MySQL aes_encrypt]: https://dev.mysql.com/doc/refman/5.7/en/encryption-functions.html#function_aes-encrypt
[MySQL aes_decrypt]: https://dev.mysql.com/doc/refman/5.7/en/encryption-functions.html#function_aes-decrypt
[AES]: https://en.wikipedia.org/wiki/Advanced_Encryption_Standard
[ClickHouse]: https://clickhouse.tech
[ClickHouse]: https://clickhouse.com
[GitHub repository]: https://github.com/ClickHouse/ClickHouse/blob/master/tests/testflows/aes_encryption/requirements/requirements.md
[Revision history]: https://github.com/ClickHouse/ClickHouse/commits/master/tests/testflows/aes_encryption/requirements/requirements.md
[Git]: https://git-scm.com/

2
tests/testflows/aes_encryption/tests/compatibility/mysql/database_engine.py
View File

@ -187,7 +187,7 @@ def encrypt(self, mysql_datatype):
def feature(self, node="clickhouse1", mysql_node="mysql1"):
"""Check usage of encryption functions with [MySQL database engine].
[MySQL database engine]: https://clickhouse.tech/docs/en/engines/database-engines/mysql/
[MySQL database engine]: https://clickhouse.com/docs/en/engines/database-engines/mysql/
"""
self.context.node = self.context.cluster.node(node)
self.context.mysql_node = self.context.cluster.node(mysql_node)

2
tests/testflows/aes_encryption/tests/compatibility/mysql/dictionary.py
View File

@ -242,7 +242,7 @@ def decrypt(self, mysql_datatype):
def feature(self, node="clickhouse1", mysql_node="mysql1"):
"""Check usage of encryption functions with [MySQL dictionary].
[MySQL dictionary]: https://clickhouse.tech/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts-dict-sources/#dicts-external_dicts_dict_sources-mysql
[MySQL dictionary]: https://clickhouse.com/docs/en/sql-reference/dictionaries/external-dictionaries/external-dicts-dict-sources/#dicts-external_dicts_dict_sources-mysql
"""
self.context.node = self.context.cluster.node(node)
self.context.mysql_node = self.context.cluster.node(mysql_node)

2
tests/testflows/aes_encryption/tests/compatibility/mysql/table_engine.py
View File

@ -193,7 +193,7 @@ def encrypt(self, mysql_datatype):
def feature(self, node="clickhouse1", mysql_node="mysql1"):
"""Check usage of encryption functions with [MySQL table engine].
[MySQL table engine]: https://clickhouse.tech/docs/en/engines/table-engines/integrations/mysql/
[MySQL table engine]: https://clickhouse.com/docs/en/engines/table-engines/integrations/mysql/
"""
self.context.node = self.context.cluster.node(node)
self.context.mysql_node = self.context.cluster.node(mysql_node)

2
tests/testflows/aes_encryption/tests/compatibility/mysql/table_function.py
View File

@ -174,7 +174,7 @@ def encrypt(self, mysql_datatype):
def feature(self, node="clickhouse1", mysql_node="mysql1"):
"""Check usage of encryption functions with [MySQL table function].
[MySQL table function]: https://clickhouse.tech/docs/en/sql-reference/table-functions/mysql/
[MySQL table function]: https://clickhouse.com/docs/en/sql-reference/table-functions/mysql/
"""
self.context.node = self.context.cluster.node(node)
self.context.mysql_node = self.context.cluster.node(mysql_node)

12
tests/testflows/datetime64_extended_range/configs/clickhouse/config.xml
View File

@ -158,7 +158,7 @@
<mlock_executable>false</mlock_executable>
<!-- Configuration of clusters that could be used in Distributed tables.
https://clickhouse.tech/docs/en/table_engines/distributed/
https://clickhouse.com/docs/en/table_engines/distributed/
-->
<remote_servers incl="remote" >
<!-- Test only shard config for testing distributed storage -->
@ -218,14 +218,14 @@
<!-- ZooKeeper is used to store metadata about replicas, when using Replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/table_engines/replication/
See https://clickhouse.com/docs/en/table_engines/replication/
-->
<zookeeper incl="zookeeper" optional="true" />
<!-- Substitutions for parameters of replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/table_engines/replication/#creating-replicated-tables
See https://clickhouse.com/docs/en/table_engines/replication/#creating-replicated-tables
-->
<macros incl="macros" optional="true" />
@ -285,7 +285,7 @@
<database>system</database>
<table>query_log</table>
<!--
PARTITION BY expr https://clickhouse.tech/docs/en/table_engines/custom_partitioning_key/
PARTITION BY expr https://clickhouse.com/docs/en/table_engines/custom_partitioning_key/
Example:
event_date
toMonday(event_date)
@ -335,7 +335,7 @@
-->
<!-- Parameters for embedded dictionaries, used in Yandex.Metrica.
See https://clickhouse.tech/docs/en/dicts/internal_dicts/
See https://clickhouse.com/docs/en/dicts/internal_dicts/
-->
<!-- Path to file with region hierarchy. -->
@ -346,7 +346,7 @@
<!-- Configuration of external dictionaries. See:
https://clickhouse.tech/docs/en/dicts/external_dicts/
https://clickhouse.com/docs/en/dicts/external_dicts/
-->
<dictionaries_config>*_dictionary.xml</dictionaries_config>

178
tests/testflows/datetime64_extended_range/requirements/requirements.md
View File

@ -293,388 +293,388 @@ version: 1.0
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toTimeZone
version: 1.0
[ClickHouse] SHALL support correct operation of the [toTimeZone](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#totimezone)
[ClickHouse] SHALL support correct operation of the [toTimeZone](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#totimezone)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toYear
version: 1.0
[ClickHouse] SHALL support correct operation of the [toYear](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#toyear)
[ClickHouse] SHALL support correct operation of the [toYear](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#toyear)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toQuarter
version: 1.0
[ClickHouse] SHALL support correct operation of the [toQuarter](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#toquarter)
[ClickHouse] SHALL support correct operation of the [toQuarter](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#toquarter)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toMonth
version: 1.0
[ClickHouse] SHALL support correct operation of the [toMonth](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tomonth)
[ClickHouse] SHALL support correct operation of the [toMonth](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tomonth)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toDayOfYear
version: 1.0
[ClickHouse] SHALL support correct operation of the [toDayOfYear](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#todayofyear)
[ClickHouse] SHALL support correct operation of the [toDayOfYear](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#todayofyear)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toDayOfMonth
version: 1.0
[ClickHouse] SHALL support correct operation of the [toDayOfMonth](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#todayofmonth)
[ClickHouse] SHALL support correct operation of the [toDayOfMonth](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#todayofmonth)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toDayOfWeek
version: 1.0
[ClickHouse] SHALL support correct operation of the [toDayOfWeek](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#todayofweek)
[ClickHouse] SHALL support correct operation of the [toDayOfWeek](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#todayofweek)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toHour
version: 1.0
[ClickHouse] SHALL support correct operation of the [toHour](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tohour)
[ClickHouse] SHALL support correct operation of the [toHour](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tohour)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toMinute
version: 1.0
[ClickHouse] SHALL support correct operation of the [toMinute](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tominute)
[ClickHouse] SHALL support correct operation of the [toMinute](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tominute)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toSecond
version: 1.0
[ClickHouse] SHALL support correct operation of the [toSecond](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tosecond)
[ClickHouse] SHALL support correct operation of the [toSecond](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tosecond)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toUnixTimestamp
version: 1.0
[ClickHouse] SHALL support correct operation of the [toUnitTimestamp](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#to-unix-timestamp)
[ClickHouse] SHALL support correct operation of the [toUnitTimestamp](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#to-unix-timestamp)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
Timestamp value expected to be negative when DateTime64 value is prior to `1970-01-01` and positine otherwise.
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfYear
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfYear](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartofyear)
[ClickHouse] SHALL support correct operation of the [toStartOfYear](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartofyear)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfISOYear
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfISOYear](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartofisoyear)
[ClickHouse] SHALL support correct operation of the [toStartOfISOYear](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartofisoyear)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfQuarter
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfQuarter](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartofquarter)
[ClickHouse] SHALL support correct operation of the [toStartOfQuarter](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartofquarter)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfMonth
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfMonth](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartofmonth)
[ClickHouse] SHALL support correct operation of the [toStartOfMonth](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartofmonth)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toMonday
version: 1.0
[ClickHouse] SHALL support correct operation of the [toMonday](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tomonday)
[ClickHouse] SHALL support correct operation of the [toMonday](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tomonday)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfWeek
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfWeek](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartofweektmode)
[ClickHouse] SHALL support correct operation of the [toStartOfWeek](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartofweektmode)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfDay
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfDay](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartofday)
[ClickHouse] SHALL support correct operation of the [toStartOfDay](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartofday)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfHour
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfHour](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartofhour)
[ClickHouse] SHALL support correct operation of the [toStartOfHour](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartofhour)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfMinute
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfMinute](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartofminute)
[ClickHouse] SHALL support correct operation of the [toStartOfMinute](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartofminute)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfSecond
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfSecond](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartofsecond)
[ClickHouse] SHALL support correct operation of the [toStartOfSecond](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartofsecond)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfFiveMinute
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfFiveMinute](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartoffiveminute)
[ClickHouse] SHALL support correct operation of the [toStartOfFiveMinute](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartoffiveminute)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfTenMinutes
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfTenMinutes](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartoftenminutes)
[ClickHouse] SHALL support correct operation of the [toStartOfTenMinutes](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartoftenminutes)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfFifteenMinutes
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfFifteenMinutes](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartoffifteenminutes)
[ClickHouse] SHALL support correct operation of the [toStartOfFifteenMinutes](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartoffifteenminutes)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toStartOfInterval
version: 1.0
[ClickHouse] SHALL support correct operation of the [toStartOfInterval](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#tostartofintervaltime-or-data-interval-x-unit-time-zone)
[ClickHouse] SHALL support correct operation of the [toStartOfInterval](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#tostartofintervaltime-or-data-interval-x-unit-time-zone)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
More detailed description can be found [here](https://github.com/ClickHouse/ClickHouse/issues/1201).
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toTime
version: 1.0
[ClickHouse] SHALL support correct operation of the [toTime](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#totime)
[ClickHouse] SHALL support correct operation of the [toTime](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#totime)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toRelativeYearNum
version: 1.0
[ClickHouse] SHALL support correct operation of the [toRelativeYearNum](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#torelativeyearnum)
[ClickHouse] SHALL support correct operation of the [toRelativeYearNum](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#torelativeyearnum)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toRelativeQuarterNum
version: 1.0
[ClickHouse] SHALL support correct operation of the [toRelativeQuarterNum](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#torelativequarternum)
[ClickHouse] SHALL support correct operation of the [toRelativeQuarterNum](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#torelativequarternum)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toRelativeMonthNum
version: 1.0
[ClickHouse] SHALL support correct operation of the [toRelativeMonthNum](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#torelativemonthnum)
[ClickHouse] SHALL support correct operation of the [toRelativeMonthNum](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#torelativemonthnum)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toRelativeWeekNum
version: 1.0
[ClickHouse] SHALL support correct operation of the [toRelativeWeekNum](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#torelativeweeknum)
[ClickHouse] SHALL support correct operation of the [toRelativeWeekNum](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#torelativeweeknum)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toRelativeDayNum
version: 1.0
[ClickHouse] SHALL support correct operation of the [toRelativeDayNum](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#torelativedaynum)
[ClickHouse] SHALL support correct operation of the [toRelativeDayNum](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#torelativedaynum)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toRelativeHourNum
version: 1.0
[ClickHouse] SHALL support correct operation of the [toRelativeHourNum](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#torelativehournum)
[ClickHouse] SHALL support correct operation of the [toRelativeHourNum](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#torelativehournum)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toRelativeMinuteNum
version: 1.0
[ClickHouse] SHALL support correct operation of the [toRelativeMinuteNum](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#torelativeminutenum)
[ClickHouse] SHALL support correct operation of the [toRelativeMinuteNum](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#torelativeminutenum)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toRelativeSecondNum
version: 1.0
[ClickHouse] SHALL support correct operation of the [toRelativeSecondNum](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#torelativesecondnum)
[ClickHouse] SHALL support correct operation of the [toRelativeSecondNum](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#torelativesecondnum)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toISOYear
version: 1.0
[ClickHouse] SHALL support correct operation of the [toISOYear](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#toisoyear)
[ClickHouse] SHALL support correct operation of the [toISOYear](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#toisoyear)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toISOWeek
version: 1.0
[ClickHouse] SHALL support correct operation of the [toISOWeek](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#toisoweek)
[ClickHouse] SHALL support correct operation of the [toISOWeek](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#toisoweek)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toWeek
version: 1.0
[ClickHouse] SHALL support correct operation of the [toWeek](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#toweekdatemode)
[ClickHouse] SHALL support correct operation of the [toWeek](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#toweekdatemode)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toYearWeek
version: 1.0
[ClickHouse] SHALL support correct operation of the [toYearWeek](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#toyearweekdatemode)
[ClickHouse] SHALL support correct operation of the [toYearWeek](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#toyearweekdatemode)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.now
version: 1.0
[ClickHouse] SHALL support conversion of output from the [now](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#now)
[ClickHouse] SHALL support conversion of output from the [now](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#now)
function to the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.today
version: 1.0
[ClickHouse] SHALL support conversion of output from the [today](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#today)
[ClickHouse] SHALL support conversion of output from the [today](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#today)
function to the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.yesterday
version: 1.0
[ClickHouse] SHALL support conversion of output from the [yesterday](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#yesterday)
[ClickHouse] SHALL support conversion of output from the [yesterday](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#yesterday)
function to the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.timeSlot
version: 1.0
[ClickHouse] SHALL support conversion of output from the [timeSlot](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#timeslot)
[ClickHouse] SHALL support conversion of output from the [timeSlot](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#timeslot)
function to the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toYYYYMM
version: 1.0
[ClickHouse] SHALL support correct operation of the [toYYYYMM](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#toyyyymm)
[ClickHouse] SHALL support correct operation of the [toYYYYMM](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#toyyyymm)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toYYYYMMDD
version: 1.0
[ClickHouse] SHALL support correct operation of the [toYYYYMMDD](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#toyyyymmdd)
[ClickHouse] SHALL support correct operation of the [toYYYYMMDD](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#toyyyymmdd)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.toYYYYMMDDhhmmss
version: 1.0
[ClickHouse] SHALL support correct operation of the [toYYYYMMDDhhmmss](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#toyyyymmddhhmmss)
[ClickHouse] SHALL support correct operation of the [toYYYYMMDDhhmmss](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#toyyyymmddhhmmss)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.addYears
version: 1.0
[ClickHouse] SHALL support correct operation of the [addYears](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
[ClickHouse] SHALL support correct operation of the [addYears](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.addMonths
version: 1.0
[ClickHouse] SHALL support correct operation of the [addMonths](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
[ClickHouse] SHALL support correct operation of the [addMonths](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.addWeeks
version: 1.0
[ClickHouse] SHALL support correct operation of the [addWeeks](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
[ClickHouse] SHALL support correct operation of the [addWeeks](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.addDays
version: 1.0
[ClickHouse] SHALL support correct operation of the [addDays](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
[ClickHouse] SHALL support correct operation of the [addDays](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.addHours
version: 1.0
[ClickHouse] SHALL support correct operation of the [addHours](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
[ClickHouse] SHALL support correct operation of the [addHours](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.addMinutes
version: 1.0
[ClickHouse] SHALL support correct operation of the [addMinutes](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
[ClickHouse] SHALL support correct operation of the [addMinutes](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.addSeconds
version: 1.0
[ClickHouse] SHALL support correct operation of the [addSeconds](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
[ClickHouse] SHALL support correct operation of the [addSeconds](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.addQuarters
version: 1.0
[ClickHouse] SHALL support correct operation of the [addQuarters](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
[ClickHouse] SHALL support correct operation of the [addQuarters](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#addyears-addmonths-addweeks-adddays-addhours-addminutes-addseconds-addquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.subtractYears
version: 1.0
[ClickHouse] SHALL support correct operation of the [subtractYears](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
[ClickHouse] SHALL support correct operation of the [subtractYears](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.subtractMonths
version: 1.0
[ClickHouse] SHALL support correct operation of the [subtractMonths](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
[ClickHouse] SHALL support correct operation of the [subtractMonths](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.subtractWeeks
version: 1.0
[ClickHouse] SHALL support correct operation of the [subtractWeeks](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
[ClickHouse] SHALL support correct operation of the [subtractWeeks](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.subtractDays
version: 1.0
[ClickHouse] SHALL support correct operation of the [subtractDays](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
[ClickHouse] SHALL support correct operation of the [subtractDays](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.subtractHours
version: 1.0
[ClickHouse] SHALL support correct operation of the [subtractHours](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
[ClickHouse] SHALL support correct operation of the [subtractHours](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.subtractMinutes
version: 1.0
[ClickHouse] SHALL support correct operation of the [subtractMinutes](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
[ClickHouse] SHALL support correct operation of the [subtractMinutes](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.subtractSeconds
version: 1.0
[ClickHouse] SHALL support correct operation of the [subtractSeconds](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
[ClickHouse] SHALL support correct operation of the [subtractSeconds](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.subtractQuarters
version: 1.0
[ClickHouse] SHALL support correct operation of the [subtractQuarters](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
[ClickHouse] SHALL support correct operation of the [subtractQuarters](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#subtractyears-subtractmonths-subtractweeks-subtractdays-subtracthours-subtractminutes-subtractseconds-subtractquarters)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.dateDiff
version: 1.0
[ClickHouse] SHALL support correct operation of the [dateDiff](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#datediff)
[ClickHouse] SHALL support correct operation of the [dateDiff](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#datediff)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.timeSlots
version: 1.0
[ClickHouse] SHALL support correct operation of the [timeSlots](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#timeslotsstarttime-duration-size)
[ClickHouse] SHALL support correct operation of the [timeSlots](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#timeslotsstarttime-duration-size)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.DatesAndTimesFunctions.formatDateTime
version: 1.0
[ClickHouse] SHALL support correct operation of the [formatDateTime](https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#formatdatetime)
[ClickHouse] SHALL support correct operation of the [formatDateTime](https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#formatdatetime)
function used with the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
@ -684,45 +684,45 @@ function used with the [DateTime64] data type when it stores dates within the [n
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
to integer types using [toInt(8|16|32|64|128|256)](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#toint8163264128256) functions.
to integer types using [toInt(8|16|32|64|128|256)](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#toint8163264128256) functions.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.toUInt(8|16|32|64|256)
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
to unsigned integer types using [toUInt(8|16|32|64|256)](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#touint8163264256) functions.
to unsigned integer types using [toUInt(8|16|32|64|256)](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#touint8163264256) functions.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.toFloat(32|64)
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
to float types using [toFloat(32|64)](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#tofloat3264) functions.
to float types using [toFloat(32|64)](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#tofloat3264) functions.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.toDate
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range]
to the [Date](https://clickhouse.tech/docs/en/sql-reference/data-types/date/) type using the [toDate](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#todate) function.
to the [Date](https://clickhouse.com/docs/en/sql-reference/data-types/date/) type using the [toDate](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#todate) function.
This function is ONLY supposed to work in NORMAL RANGE.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.toDateTime
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
to the [DateTime](https://clickhouse.tech/docs/en/sql-reference/data-types/datetime/) type using the [toDateTime](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#todatetime) function.
to the [DateTime](https://clickhouse.com/docs/en/sql-reference/data-types/datetime/) type using the [toDateTime](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#todatetime) function.
This function is ONLY supposed to work in NORMAL RANGE.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.toDateTime64
version: 1.0
[ClickHouse] SHALL support correct conversion from the data types supported by the [toDateTime64](https://clickhouse.tech/docs/en/sql-reference/data-types/datetime64/) function
[ClickHouse] SHALL support correct conversion from the data types supported by the [toDateTime64](https://clickhouse.com/docs/en/sql-reference/data-types/datetime64/) function
to the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range].
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.toDateTime64.FromString.MissingTime
version: 1.0
[ClickHouse] SHALL support correct conversion from the [String](https://clickhouse.tech/docs/en/sql-reference/data-types/string/)
data type to the [DateTime64](https://clickhouse.tech/docs/en/sql-reference/data-types/datetime64/) data type
[ClickHouse] SHALL support correct conversion from the [String](https://clickhouse.com/docs/en/sql-reference/data-types/string/)
data type to the [DateTime64](https://clickhouse.com/docs/en/sql-reference/data-types/datetime64/) data type
when value of the string is missing the `hh:mm-ss.sss` part.
For example, `toDateTime64('2020-01-01', 3)`.
@ -730,64 +730,64 @@ For example, `toDateTime64('2020-01-01', 3)`.
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
to [Decimal](https://clickhouse.tech/docs/en/sql-reference/data-types/decimal/) types using [toDecimal(32|64|128|256)](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#todecimal3264128256) functions.
to [Decimal](https://clickhouse.com/docs/en/sql-reference/data-types/decimal/) types using [toDecimal(32|64|128|256)](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#todecimal3264128256) functions.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.toString
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
to the [String](https://clickhouse.tech/docs/en/sql-reference/data-types/string/) type using the [toString](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#tostring) function.
to the [String](https://clickhouse.com/docs/en/sql-reference/data-types/string/) type using the [toString](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#tostring) function.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.CAST(x,T)
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
to one of the supported data type using the [CAST(x,T)](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#type_conversion_function-cast) function.
to one of the supported data type using the [CAST(x,T)](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#type_conversion_function-cast) function.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.toUnixTimestamp64Milli
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
to the [Int64](https://clickhouse.tech/docs/en/sql-reference/data-types/int-uint/) type using the [toUnixTimestamp64Milli](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#tounixtimestamp64milli) function.
to the [Int64](https://clickhouse.com/docs/en/sql-reference/data-types/int-uint/) type using the [toUnixTimestamp64Milli](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#tounixtimestamp64milli) function.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.toUnixTimestamp64Micro
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
to the [Int64](https://clickhouse.tech/docs/en/sql-reference/data-types/int-uint/) type using the [toUnixTimestamp64Micro](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#tounixtimestamp64micro) function.
to the [Int64](https://clickhouse.com/docs/en/sql-reference/data-types/int-uint/) type using the [toUnixTimestamp64Micro](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#tounixtimestamp64micro) function.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.toUnixTimestamp64Nano
version: 1.0
[ClickHouse] SHALL support correct conversion of the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
to the [Int64](https://clickhouse.tech/docs/en/sql-reference/data-types/int-uint/) type using the [toUnixTimestamp64Nano](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#tounixtimestamp64nano) function.
to the [Int64](https://clickhouse.com/docs/en/sql-reference/data-types/int-uint/) type using the [toUnixTimestamp64Nano](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#tounixtimestamp64nano) function.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.fromUnixTimestamp64Milli
version: 1.0
[ClickHouse] SHALL support correct conversion from the [Int64](https://clickhouse.tech/docs/en/sql-reference/data-types/int-uint/) type
[ClickHouse] SHALL support correct conversion from the [Int64](https://clickhouse.com/docs/en/sql-reference/data-types/int-uint/) type
to the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
using the [fromUnixTimestamp64Milli](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#fromunixtimestamp64milli) function.
using the [fromUnixTimestamp64Milli](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#fromunixtimestamp64milli) function.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.fromUnixTimestamp64Micro
version: 1.0
[ClickHouse] SHALL support correct conversion from the [Int64](https://clickhouse.tech/docs/en/sql-reference/data-types/int-uint/) type
[ClickHouse] SHALL support correct conversion from the [Int64](https://clickhouse.com/docs/en/sql-reference/data-types/int-uint/) type
to the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
using the [fromUnixTimestamp64Micro](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#fromunixtimestamp64micro) function.
using the [fromUnixTimestamp64Micro](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#fromunixtimestamp64micro) function.
###### RQ.SRS-010.DateTime64.ExtendedRange.TypeConversionFunctions.fromUnixTimestamp64Nano
version: 1.0
[ClickHouse] SHALL support correct conversion from the [Int64](https://clickhouse.tech/docs/en/sql-reference/data-types/int-uint/) type
[ClickHouse] SHALL support correct conversion from the [Int64](https://clickhouse.com/docs/en/sql-reference/data-types/int-uint/) type
to the [DateTime64] data type when it stores dates within the [normal date range] and the [extended date range]
using the [fromUnixTimestamp64Nano](https://clickhouse.tech/docs/en/sql-reference/functions/type-conversion-functions/#fromunixtimestamp64nano) function.
using the [fromUnixTimestamp64Nano](https://clickhouse.com/docs/en/sql-reference/functions/type-conversion-functions/#fromunixtimestamp64nano) function.
## References
* **DateTime64**: https://clickhouse.tech/docs/en/sql-reference/data-types/datetime64/
* **DateTime64**: https://clickhouse.com/docs/en/sql-reference/data-types/datetime64/
* **ISO 8601 format**: https://en.wikipedia.org/wiki/ISO_8601
* **ClickHouse:** https://clickhouse.tech
* **ClickHouse:** https://clickhouse.com
* **GitHub Repository:** https://github.com/ClickHouse/ClickHouse/blob/master/tests/testflows/datetime64_extended_range/requirements/requirements.md
* **Revision History:** https://github.com/ClickHouse/ClickHouse/commits/master/tests/testflows/datetime64_extended_range/requirements/requirements.md
* **Git:** https://git-scm.com/
@ -795,10 +795,10 @@ using the [fromUnixTimestamp64Nano](https://clickhouse.tech/docs/en/sql-referenc
[SRS]: #srs
[normal date range]: #normal-date-range
[extended date range]: #extended-date-range
[Dates and Times Functions]: https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/
[DateTime64]: https://clickhouse.tech/docs/en/sql-reference/data-types/datetime64/
[Dates and Times Functions]: https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/
[DateTime64]: https://clickhouse.com/docs/en/sql-reference/data-types/datetime64/
[ISO 8601 format]: https://en.wikipedia.org/wiki/ISO_8601
[ClickHouse]: https://clickhouse.tech
[ClickHouse]: https://clickhouse.com
[GitHub Repository]: https://github.com/ClickHouse/ClickHouse/blob/master/tests/testflows/datetime64_extended_range/requirements/requirements.md
[Revision History]: https://github.com/ClickHouse/ClickHouse/commits/master/tests/testflows/datetime64_extended_range/requirements/requirements.md
[Git]: https://git-scm.com/

346
tests/testflows/datetime64_extended_range/requirements/requirements.py
View File

File diff suppressed because it is too large Load Diff

2
tests/testflows/datetime64_extended_range/tests/date_time_functions.py
View File

@ -978,7 +978,7 @@ def to_week_compute_expected(dt: datetime.datetime, mode: int, ret_year=False):
def to_week_year_week(self, clh_func, ret_year):
"""Check the toWeek/toYearWeek function with DateTime64 extended range.
For detailed info on work modes and description, see
https://clickhouse.tech/docs/en/sql-reference/functions/date-time-functions/#toweekdatemode
https://clickhouse.com/docs/en/sql-reference/functions/date-time-functions/#toweekdatemode
:param self: current test
:param clh_func: ClickHouse function to be called, string
:param ret_year: toWeek/toYearWeek selector, Boolean

12
tests/testflows/example/configs/clickhouse/config.xml
View File

@ -158,7 +158,7 @@
<mlock_executable>false</mlock_executable>
<!-- Configuration of clusters that could be used in Distributed tables.
https://clickhouse.tech/docs/en/table_engines/distributed/
https://clickhouse.com/docs/en/table_engines/distributed/
-->
<remote_servers incl="remote" >
<!-- Test only shard config for testing distributed storage -->
@ -218,14 +218,14 @@
<!-- ZooKeeper is used to store metadata about replicas, when using Replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/table_engines/replication/
See https://clickhouse.com/docs/en/table_engines/replication/
-->
<zookeeper incl="zookeeper" optional="true" />
<!-- Substitutions for parameters of replicated tables.
Optional. If you don't use replicated tables, you could omit that.
See https://clickhouse.tech/docs/en/table_engines/replication/#creating-replicated-tables
See https://clickhouse.com/docs/en/table_engines/replication/#creating-replicated-tables
-->
<macros incl="macros" optional="true" />
@ -285,7 +285,7 @@
<database>system</database>
<table>query_log</table>
<!--
PARTITION BY expr https://clickhouse.tech/docs/en/table_engines/custom_partitioning_key/
PARTITION BY expr https://clickhouse.com/docs/en/table_engines/custom_partitioning_key/
Example:
event_date
toMonday(event_date)
@ -335,7 +335,7 @@
-->
<!-- Parameters for embedded dictionaries, used in Yandex.Metrica.
See https://clickhouse.tech/docs/en/dicts/internal_dicts/
See https://clickhouse.com/docs/en/dicts/internal_dicts/
-->
<!-- Path to file with region hierarchy. -->
@ -346,7 +346,7 @@
<!-- Configuration of external dictionaries. See:
https://clickhouse.tech/docs/en/dicts/external_dicts/
https://clickhouse.com/docs/en/dicts/external_dicts/
-->
<dictionaries_config>*_dictionary.xml</dictionaries_config>

4
tests/testflows/example/requirements/CH_SRS001_ClickHouse.md
View File

@ -127,9 +127,9 @@ SELECT 1
## References
* **ClickHouse:** https://clickhouse.tech
* **ClickHouse:** https://clickhouse.com
[SRS]: #SRS
[Some term that you will use]: #Sometermthatyouwilluse
[ClickHouse]: https://clickhouse.tech
[ClickHouse]: https://clickhouse.com
[Git]: https://git-scm.com/

4
tests/testflows/example/requirements/requirements.py
View File

@ -239,10 +239,10 @@ SELECT 1
## References
* **ClickHouse:** https://clickhouse.tech
* **ClickHouse:** https://clickhouse.com
[SRS]: #SRS
[Some term that you will use]: #Sometermthatyouwilluse
[ClickHouse]: https://clickhouse.tech
[ClickHouse]: https://clickhouse.com
[Git]: https://git-scm.com/
''')

Some files were not shown because too many files have changed in this diff Show More