WIP on docs (#3753)

* CLICKHOUSE-4063: less manual html @ index.md * CLICKHOUSE-4063: recommend markdown="1" in README.md * CLICKHOUSE-4003: manually purge custom.css for now * CLICKHOUSE-4064: expand <details> before any print (including to pdf) * CLICKHOUSE-3927: rearrange interfaces/formats.md a bit * CLICKHOUSE-3306: add few http headers * Remove copy-paste introduced in #3392 * Hopefully better chinese fonts #3392 * get rid of tabs @ custom.css * Apply comments and patch from #3384 * Add jdbc.md to ToC and some translation, though it still looks badly incomplete * minor punctuation * Add some backlinks to official website from mirrors that just blindly take markdown sources * Do not make fonts extra light * find . -name '*.md' -type f | xargs -I{} perl -pi -e 's//g' {} * find . -name '*.md' -type f | xargs -I{} perl -pi -e 's/ sql/g' {} * Remove outdated stuff from roadmap.md * Not so light font on front page too * Refactor Chinese formats.md to match recent changes in other languages * Update some links on front page * Remove some outdated comment * Add twitter link to front page * More front page links tuning * Add Amsterdam meetup link * Smaller font to avoid second line * Add Amsterdam link to README.md * Proper docs nav translation * Back to 300 font-weight except Chinese * fix docs build * Update Amsterdam link * remove symlinks * more zh punctuation * apply lost comment by @zhang2014 * Apply comments by @zhang2014 from #3417 * Remove Beijing link * rm incorrect symlink * restore content of docs/zh/operations/table_engines/index.md * CLICKHOUSE-3751: stem terms while searching docs * CLICKHOUSE-3751: use English stemmer in non-English docs too * CLICKHOUSE-4135 fix * Remove past meetup link * Add blog link to top nav * Add ContentSquare article link * Add form link to front page + refactor some texts * couple markup fixes * minor * Introduce basic ODBC driver page in docs * More verbose 3rd party libs disclaimer * Put third-party stuff into a separate folder * Separate third-party stuff in ToC too * Update links * Move stuff that is not really (only) a client library into a separate page * Add clickhouse-hdfs-loader link * Some introduction for "interfaces" section * Rewrite tcp.md * http_interface.md -> http.md * fix link * Remove unconvenient error for now * try to guess anchor instead of failing * remove symlink * Remove outdated info from introduction * remove ru roadmap.md * replace ru roadmap.md with symlink * Update roadmap.md * lost file * Title case in toc_en.yml * Sync "Functions" ToC section with en * Remove reference to pretty old ClickHouse release from docs * couple lost symlinks in fa * Close quote in proper place * Rewrite en/getting_started/index.md * Sync en<>ru getting_started/index.md * minor changes * Some gui.md refactoring * Translate DataGrip section to ru * Translate DataGrip section to zh * Translate DataGrip section to fa * Translate DBeaver section to fa * Translate DBeaver section to zh * Split third-party GUI to open-source and commercial * Mention some RDBMS integrations + ad-hoc translation fixes * Add rel="external nofollow" to outgoing links from docs * Lost blank lines * Fix class name * More rel="external nofollow" * Apply suggestions by @sundy-li * Mobile version of front page improvements * test * test 2 * test 3 * Update LICENSE * minor docs fix * Highlight current article as suggested by @sundy-li
2024-12-17 20:02:05 +00:00 · 2018-12-07 19:24:54 +03:00 · 2018-12-07 19:24:54 +03:00 · 9257e6597d
commit 9257e6597d
parent 79a02c030f
17 changed files with 347 additions and 33 deletions
--- a/190
+++ b/190
@ -1,4 +1,192 @@
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--- a/docs/en/getting_started/index.md
+++ b/docs/en/getting_started/index.md
@ -39,6 +39,7 @@ You can also download and install packages manually from here: <https://repo.yan
 Yandex does not run ClickHouse on `rpm` based Linux distributions and `rpm` packages are not as thoroughly tested. So use them at your own risk, but there are many other companies that do successfully run them in production without any major issues.

 For CentOS, RHEL or Fedora there are the following options:
+
 * Packages from <https://repo.yandex.ru/clickhouse/rpm/stable/x86_64/> are generated from official `deb` packages by Yandex and have byte-identical binaries.
 * Packages from <https://github.com/Altinity/clickhouse-rpm-install> are built by independent company Altinity, but are used widely without any complaints.
 * Or you can use Docker (see below).
--- a/docs/en/interfaces/third-party/gui.md
+++ b/docs/en/interfaces/third-party/gui.md
@ -1,10 +1,12 @@
 # Visual Interfaces from Third-party Developers

-## Tabix
+## Open-Source
+
+### Tabix

 Web interface for ClickHouse in the [Tabix](https://github.com/tabixio/tabix) project.

-Main features:
+Features:

 - Works with ClickHouse directly from the browser, without the need to install additional software.
 - Query editor with syntax highlighting.
@ -14,11 +16,11 @@ Main features:

 [Tabix documentation](https://tabix.io/doc/).

-## HouseOps
+### HouseOps

 [HouseOps](https://github.com/HouseOps/HouseOps) is a UI/IDE for OSX, Linux and Windows.

-Main features:
+Features:

 - Query builder with syntax highlighting. View the response in a table or JSON view.
 - Export query results as CSV or JSON.
@ -36,25 +38,27 @@ The following features are planned for development:
 - Cluster management.
 - Monitoring replicated and Kafka tables.

-## DBeaver
+## Commercial
+
+### DBeaver

 [DBeaver](https://dbeaver.io/) - universal desktop database client with ClickHouse support.

-Key features:
+Features:

 - Query development with syntax highlight.
 - Table preview.
 - Autocompletion.

-## DataGrip
+### DataGrip

-[DataGrip](https://www.jetbrains.com/datagrip/) - Database IDE from JetBrains with dedicated support for ClickHouse. The same is embedded into other IntelliJ-based tools: PyCharm, IntelliJIDEA, GoLand, PhpStorm etc.
+[DataGrip](https://www.jetbrains.com/datagrip/) is a database IDE from JetBrains with dedicated support for ClickHouse. It is also embedded into other IntelliJ-based tools: PyCharm, IntelliJ IDEA, GoLand, PhpStorm and others.

 Features:

 - Very fast code completion.
- Clickhouse synthax highlighting.
- Specific Clickhouse features support in SQL, i.e. nested columns, table engines.
+- ClickHouse syntax highlighting.
+- Support for features specific to ClickHouse, for example nested columns, table engines.
 - Data Editor.
 - Refactorings.
 - Search and Navigation.
--- a/docs/en/interfaces/third-party/integrations.md
+++ b/docs/en/interfaces/third-party/integrations.md
@ -3,6 +3,11 @@
 !!! warning "Disclaimer"
    Yandex does **not** maintain the libraries listed below and haven't done any extensive testing to ensure their quality.

+- Relational database management systems
+    - [MySQL](https://www.mysql.com)
+        - [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
+    - [PostgreSQL](https://www.postgresql.org)
+        - [infi.clickhouse_fdw](https://github.com/Infinidat/infi.clickhouse_fdw) (uses [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
 - Python
    - [SQLAlchemy](https://www.sqlalchemy.org)
        - [sqlalchemy-clickhouse](https://github.com/cloudflare/sqlalchemy-clickhouse) (uses [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
@ -22,4 +27,4 @@
        - [clickhouse_ecto](https://github.com/appodeal/clickhouse_ecto)


-[Original article](https://clickhouse.yandex/docs/en/interfaces/third-party/integrations/) <!--hide-->
+[Original article](https://clickhouse.yandex/docs/en/interfaces/third-party/integrations/) <!--hide-->
--- a/docs/en/introduction/distinctive_features.md
+++ b/docs/en/introduction/distinctive_features.md
@ -14,7 +14,7 @@ Some column-oriented DBMSs (InfiniDB CE and MonetDB) do not use data compression

 ## Disk Storage of Data

-Mving a data physically sorted by primary key makes it possible to extract data for it's specific values or value ranges with low latency, less than few dozen milliseconds. some column-oriented DBMSs (such as SAP HANA and Google PowerDrill) can only work in RAM. This approach encourages the allocation of a larger hardware budget than is actually necessary for real-time analysis. ClickHouse is designed to work on regular hard drives, which means the cost per GB of data storage is low, but SSD and additional RAM are also fully used if available.
+Keeping data physically sorted by primary key makes it possible to extract data for it's specific values or value ranges with low latency, less than few dozen milliseconds. Some column-oriented DBMSs (such as SAP HANA and Google PowerDrill) can only work in RAM. This approach encourages the allocation of a larger hardware budget than is actually necessary for real-time analysis. ClickHouse is designed to work on regular hard drives, which means the cost per GB of data storage is low, but SSD and additional RAM are also fully used if available.

 ## Parallel Processing on Multiple Cores

--- a/docs/fa/interfaces/third-party/gui.md
+++ b/docs/fa/interfaces/third-party/gui.md
@ -2,11 +2,14 @@

 # interface های visual توسعه دهندگان third-party

-## Tabix
+## متن باز
+
+### Tabix

 interface تحت وب برای ClickHouse در پروژه [Tabix](https://github.com/tabixio/tabix).

-### ویژگی ها:
+ویژگی ها:
+
 - کار با ClickHouse به صورت مستقیم و از طریق مرورگر، بدون نیاز به نرم افزار اضافی.
 - ادیتور query به همراه syntax highlighting.
 - ویژگی Auto-completion برای دستورات.
@ -16,11 +19,12 @@ interface تحت وب برای ClickHouse در پروژه [Tabix](https://github
 [مستندات Tabix](https://tabix.io/doc/).


-## HouseOps
+### HouseOps

 [HouseOps](https://github.com/HouseOps/HouseOps) نرم افزار Desktop برای سیستم عامل های Linux و OSX و Windows می باشد..

-### ویژگی ها:
+ویژگی ها:
+
 - ابزار Query builder به همراه syntax highlighting. نمایش نتایج به صورت جدول و JSON Object.
 - خروجی نتایج به صورت csv و JSON Object.
 - Pنمایش Processes List ها به همراه توضیحات، ویژگی حالت record و kill کردن process ها.
@ -35,5 +39,30 @@ interface تحت وب برای ClickHouse در پروژه [Tabix](https://github
 - مانیتورینگ کافکا و جداول replicate (بزودی);
 - و بسیاری از ویژگی های دیگر برای شما.

+## تجاری
+
+### DBeaver
+
+[DBeaver](https://dbeaver.io/) - مشتری دسکتاپ دسکتاپ دسکتاپ با پشتیبانی ClickHouse.
+
+امکانات:
+
+- توسعه پرس و جو با برجسته نحو
+- پیش نمایش جدول
+- تکمیل خودکار
+
+### DataGrip
+
+[DataGrip](https://www.jetbrains.com/datagrip/) IDE پایگاه داده از JetBrains با پشتیبانی اختصاصی برای ClickHouse است. این ابزار همچنین به سایر ابزارهای مبتنی بر IntelliJ تعبیه شده است: PyCharm، IntelliJ IDEA، GoLand، PhpStorm و دیگران.
+
+امکانات:
+
+- تکمیل کد بسیار سریع
+- نحو برجسته ClickHouse.
+- پشتیبانی از ویژگی های خاص برای ClickHouse، برای مثال ستون های توپی، موتورهای جدول.
+- ویرایشگر داده.
+- Refactorings.
+- جستجو و ناوبری
+
 </div>
 [مقاله اصلی](https://clickhouse.yandex/docs/fa/interfaces/third-party_gui/) <!--hide-->
--- a/docs/fa/interfaces/third-party/integrations.md
+++ b/docs/fa/interfaces/third-party/integrations.md
@ -5,12 +5,17 @@
 !!! warning "سلب مسئولیت"
    Yandex نه حفظ کتابخانه ها در زیر ذکر شده و نشده انجام هر آزمایش های گسترده ای برای اطمینان از کیفیت آنها.

+- سیستم های مدیریت پایگاه داده رابطه ای
+    - [MySQL](https://www.mysql.com)
+        - [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
+    - [PostgreSQL](https://www.postgresql.org)
+        - [infi.clickhouse_fdw](https://github.com/Infinidat/infi.clickhouse_fdw) (استفاده می کند [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
 - Python
    - [SQLAlchemy](https://www.sqlalchemy.org)
-        - [sqlalchemy-clickhouse](https://github.com/cloudflare/sqlalchemy-clickhouse) (uses [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
+        - [sqlalchemy-clickhouse](https://github.com/cloudflare/sqlalchemy-clickhouse) (استفاده می کند [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
 - Java
    - [Hadoop](http://hadoop.apache.org)
-        - [clickhouse-hdfs-loader](https://github.com/jaykelin/clickhouse-hdfs-loader) (uses [JDBC](../jdbc.md))
+        - [clickhouse-hdfs-loader](https://github.com/jaykelin/clickhouse-hdfs-loader) (استفاده می کند [JDBC](../jdbc.md))
 - Scala
    - [Akka](https://akka.io)
        - [clickhouse-scala-client](https://github.com/crobox/clickhouse-scala-client)
--- a/docs/ru/getting_started/index.md
+++ b/docs/ru/getting_started/index.md
@ -39,6 +39,7 @@ sudo apt-get install clickhouse-client clickhouse-server
 Яндекс не использует ClickHouse на поддерживающих `rpm` дистрибутивах Linux, а также `rpm` пакеты менее тщательно тестируются. Таким образом, использовать их стоит на свой страх и риск, но, тем не менее, многие другие компании успешно работают на них в production без каких-либо серьезных проблем.

 Для CentOS, RHEL и Fedora возможны следующие варианты:
+
 * Пакеты из <https://repo.yandex.ru/clickhouse/rpm/stable/x86_64/> генерируются на основе официальных `deb` пакетов от Яндекса и содержат в точности тот же исполняемый файл.
 * Пакеты из <https://github.com/Altinity/clickhouse-rpm-install> собираются независимой компанией Altinity, но широко используются без каких-либо нареканий.
 * Либо можно использовать Docker (см. ниже).
--- a/docs/ru/interfaces/third-party/gui.md
+++ b/docs/ru/interfaces/third-party/gui.md
@ -1,6 +1,8 @@
 # Визуальные интерфейсы от сторонних разработчиков

-## Tabix
+## С открытым исходным кодом
+
+### Tabix

 Веб-интерфейс для ClickHouse в проекте [Tabix](https://github.com/tabixio/tabix).

@ -14,7 +16,7 @@

 [Документация Tabix](https://tabix.io/doc/).

-## HouseOps
+### HouseOps

 [HouseOps](https://github.com/HouseOps/HouseOps) — UI/IDE для OSX, Linux и Windows.

@ -39,7 +41,9 @@
 - Управление кластером;
 - Мониторинг реплицированных и Kafka таблиц.

-## DBeaver
+## Коммерческие
+
+### DBeaver

 [DBeaver](https://dbeaver.io/) - универсальный desktop клиент баз данных с поддержкой ClickHouse.

@ -49,4 +53,17 @@
 - Просмотр таблиц;
 - Автодополнение команд.

+### DataGrip
+
+[DataGrip](https://www.jetbrains.com/datagrip/) — это IDE для баз данных о JetBrains с выделенной поддержкой ClickHouse. Он также встроен в другие инструменты на основе IntelliJ: PyCharm, IntelliJ IDEA, GoLand, PhpStorm и другие.
+
+Основные возможности:
+
+- Очень быстрое дополнение кода.
+- Подсветка синтаксиса для SQL диалекта ClickHouse.
+- Поддержка функций, специфичных для ClickHouse, например вложенных столбцов, движков таблиц.
+- Редактор данных.
+- Рефакторинги.
+- Поиск и навигация.
+
 [Оригинальная статья](https://clickhouse.yandex/docs/ru/interfaces/third-party_gui/) <!--hide-->
--- a/docs/ru/interfaces/third-party/integrations.md
+++ b/docs/ru/interfaces/third-party/integrations.md
@ -3,12 +3,17 @@
 !!! warning "Disclaimer"
    Яндекс не поддерживает перечисленные ниже библиотеки и не проводит тщательного тестирования для проверки их качества.

+- Реляционные системы управления базами данных
+    - [MySQL](https://www.mysql.com)
+        - [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
+    - [PostgreSQL](https://www.postgresql.org)
+        - [infi.clickhouse_fdw](https://github.com/Infinidat/infi.clickhouse_fdw) (использует [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
 - Python
    - [SQLAlchemy](https://www.sqlalchemy.org)
-        - [sqlalchemy-clickhouse](https://github.com/cloudflare/sqlalchemy-clickhouse) (uses [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
+        - [sqlalchemy-clickhouse](https://github.com/cloudflare/sqlalchemy-clickhouse) (использует [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
 - Java
    - [Hadoop](http://hadoop.apache.org)
-        - [clickhouse-hdfs-loader](https://github.com/jaykelin/clickhouse-hdfs-loader) (uses [JDBC](../jdbc.md))
+        - [clickhouse-hdfs-loader](https://github.com/jaykelin/clickhouse-hdfs-loader) (использует [JDBC](../jdbc.md))
 - Scala
    - [Akka](https://akka.io)
        - [clickhouse-scala-client](https://github.com/crobox/clickhouse-scala-client)
--- a/docs/tools/mdx_clickhouse.py
+++ b/docs/tools/mdx_clickhouse.py
@ -2,20 +2,46 @@
 # -*- coding: utf-8 -*-
 from __future__ import unicode_literals

+import markdown.inlinepatterns
 import markdown.extensions
 import markdown.util


+class NofollowMixin(object):
+    def handleMatch(self, m):
+        try:
+            el = super(NofollowMixin, self).handleMatch(m)
+        except IndexError:
+            return
+
+        if el is not None:
+            href = el.get('href') or ''
+            if href.startswith('http') and not href.startswith('https://clickhouse.yandex'):
+                el.set('rel', 'external nofollow')
+        return el
+
+
+class NofollowAutolinkPattern(NofollowMixin, markdown.inlinepatterns.AutolinkPattern):
+    pass
+
+
+class NofollowLinkPattern(NofollowMixin, markdown.inlinepatterns.LinkPattern):
+    pass
+
+
 class ClickHousePreprocessor(markdown.util.Processor):
    def run(self, lines):
        for line in lines:
            if '<!--hide-->' not in line:
                yield line

+
 class ClickHouseMarkdown(markdown.extensions.Extension):

    def extendMarkdown(self, md, md_globals):
        md.preprocessors['clickhouse'] = ClickHousePreprocessor()
+        md.inlinePatterns['link'] = NofollowLinkPattern(markdown.inlinepatterns.LINK_RE, md)
+        md.inlinePatterns['autolink'] = NofollowAutolinkPattern(markdown.inlinepatterns.AUTOLINK_RE, md)


 def makeExtension(**kwargs):
--- a/docs/tools/mkdocs-material-theme/base.html
+++ b/docs/tools/mkdocs-material-theme/base.html
@ -136,10 +136,10 @@
            <article class="md-content__inner md-typeset">
              {% block content %}
                {% if config.extra.single_page %}
-                    <a href="{{ config.repo_url }}tree/master/docs" title="{{ lang.t('edit.link.title') }}" class="md-icon md-content__icon">&#xE3C9;</a>
+                    <a href="{{ config.repo_url }}tree/master/docs" title="{{ lang.t('edit.link.title') }}" class="md-icon md-content__icon" rel="external nofollow">&#xE3C9;</a>
                {% else %}
                  {% if page.edit_url %}
-                    <a href="{{ page.edit_url }}" title="{{ lang.t('edit.link.title') }}" class="md-icon md-content__icon">&#xE3C9;</a>
+                    <a href="{{ page.edit_url }}" title="{{ lang.t('edit.link.title') }}" class="md-icon md-content__icon" rel="external nofollow">&#xE3C9;</a>
                  {% endif %}
                {% endif %}
                {% if not "\x3ch1" in page.content %}
@ -155,7 +155,7 @@
                    <h2 id="__source">{{ lang.t("meta.source") }}</h2>
                    {% set path = page.meta.path | default([""]) %}
                    {% set file = page.meta.source %}
-                    <a href="{{ [config.repo_url, path, file] | join('/') }}" title="{{ file }}" class="md-source-file">
+                    <a href="{{ [config.repo_url, path, file] | join('/') }}" title="{{ file }}" class="md-source-file" rel="external nofollow">
                      {{ file }}
                    </a>
                  {% endif %}
--- a/docs/tools/mkdocs-material-theme/partials/nav-item.html
+++ b/docs/tools/mkdocs-material-theme/partials/nav-item.html
@ -40,7 +40,7 @@
      </label>
    {% endif %}
    <a href="{{ base_url }}/{{ nav_item.url }}" title="{{ nav_item.title }}" class="md-nav__link md-nav__link--active">
-      {{ nav_item.title }}
+      <strong>{{ nav_item.title }}</strong>
    </a>
    {% if toc_ | first is defined %}
      {% include "partials/toc.html" %}
--- a/docs/zh/interfaces/third-party/gui.md
+++ b/docs/zh/interfaces/third-party/gui.md
@ -1,6 +1,8 @@
 # 第三方开发的可视化界面

-## Tabix
+## 开源
+
+### Tabix

 ClickHouse Web 界面 [Tabix](https://github.com/tabixio/tabix).

@ -15,7 +17,7 @@ ClickHouse Web 界面 [Tabix](https://github.com/tabixio/tabix).
 [Tabix 文档](https://tabix.io/doc/).


-## HouseOps
+### HouseOps

 [HouseOps](https://github.com/HouseOps/HouseOps) 是一个交互式 UI/IDE 工具，可以运行在 OSX, Linux and Windows 平台中。

@ -36,5 +38,29 @@ ClickHouse Web 界面 [Tabix](https://github.com/tabixio/tabix).
 - 集群管理
 - 监控副本情况以及 Kafka 引擎表

+## 商业
+
+### DBeaver
+
+[DBeaver](https://dbeaver.io/) - 具有ClickHouse支持的通用桌面数据库客户端。
+
+特征：
+
+ - 使用语法高亮显示查询开发。
+ - 表格预览。
+ - 自动完成。
+
+### DataGrip
+
+[DataGrip](https://www.jetbrains.com/datagrip/)是JetBrains的数据库IDE，专门支持ClickHouse。 它还嵌入到其他基于IntelliJ的工具中：PyCharm，IntelliJ IDEA，GoLand，PhpStorm等。
+
+特征：
+
+ - 非常快速的代码完成。
+ - ClickHouse语法高亮显示。
+ - 支持ClickHouse特有的功能，例如嵌套列，表引擎。
+ - 数据编辑器。
+ - 重构。
+ - 搜索和导航。

 [来源文章](https://clickhouse.yandex/docs/zh/interfaces/third-party_gui/) <!--hide-->
--- a/docs/zh/interfaces/third-party/integrations.md
+++ b/docs/zh/interfaces/third-party/integrations.md
@ -1,14 +1,19 @@
 # 第三方集成库

-!!! warning "放弃"
+!!! warning "声明"
    Yandex不维护下面列出的库，也没有进行任何广泛的测试以确保其质量。

+- 关系数据库管理系统
+    - [MySQL](https://www.mysql.com)
+        - [ProxySQL](https://github.com/sysown/proxysql/wiki/ClickHouse-Support)
+    - [PostgreSQL](https://www.postgresql.org)
+        - [infi.clickhouse_fdw](https://github.com/Infinidat/infi.clickhouse_fdw) (使用 [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
 - Python
    - [SQLAlchemy](https://www.sqlalchemy.org)
-        - [sqlalchemy-clickhouse](https://github.com/cloudflare/sqlalchemy-clickhouse) (uses [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
+        - [sqlalchemy-clickhouse](https://github.com/cloudflare/sqlalchemy-clickhouse) (使用 [infi.clickhouse_orm](https://github.com/Infinidat/infi.clickhouse_orm))
 - Java
    - [Hadoop](http://hadoop.apache.org)
-        - [clickhouse-hdfs-loader](https://github.com/jaykelin/clickhouse-hdfs-loader) (uses [JDBC](../jdbc.md))
+        - [clickhouse-hdfs-loader](https://github.com/jaykelin/clickhouse-hdfs-loader) (使用 [JDBC](../jdbc.md))
 - Scala
    - [Akka](https://akka.io)
        - [clickhouse-scala-client](https://github.com/crobox/clickhouse-scala-client)
--- a/website/index.css
+++ b/website/index.css
@ -409,6 +409,7 @@ img {
    }

    #index_ul {
+        padding-bottom: 30px;
        padding-left: 0;
        margin: 0 0 30px -16px;
        font-size: 90%;
--- a/website/index.html
+++ b/website/index.html
@ -3,6 +3,7 @@
 <head>
    <meta charset="utf-8"/>
    <meta http-equiv="X-UA-Compatible" content="IE=edge"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1">

    <title>ClickHouse — open source distributed column-oriented DBMS</title>