Examples of using Clickhouse in Chinese and their translations into English
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ClickHouse还用于：.
ClickHouse is also used for:.为什么要迁移到ClickHouse.
Reasons to move to ClickHouse.ClickHouse支持主键表。
ClickHouse supports primary key tables.将数据从S3传输到ClickHouse。
Delivery of data from S3 to ClickHouse.注意：ClickHouse有一个Golang连接器。
Note: ClickHouse has a Golang connector.从那时起，我们一直在使用ClickHouse。
使用ClickHouse对每秒6百万次请求进行HTTP分析.
HTTP Analytics for 6M requests per second using ClickHouse.Yandex开源了ClickHouse，一个列式分析数据库。
Yandex has open sourced ClickHouse, a columnar analytics database.ClickHouse包含了一个内置的特性，即geobase.
ClickHouse contains a built-in feature for working with a geobase.在不同的ClickHouse集群之间进行查询，为了研究用途.
Queries between various ClickHouse clusters for research purposes.HTTP接口可以让你通过任何平台和编程语言来使用ClickHouse。
The HTTP interface lets you use ClickHouse on any platform from any programming language.另外，ClickHouse是一个DBMS，而不是一个单一的数据库。
Also note that ClickHouse is a DBMS, not a single database.因此，我们能够测试我们对ClickHouse性能和功能的假设。
As a result, we were able to test our assumptions about ClickHouse performance and capabilities.数据可以以ClickHouse支持的任何输入输出格式传递给INSERT。
Data can be passed to the INSERT in any format supported by ClickHouse.在本教程中，您将在计算机上安装ClickHouse数据库服务器和客户端。
In this tutorial, you will install the ClickHouse database server and client on your machine.我们推荐MySQL为缓存作为数据源,因为ClickHouse并不能很好地处理随机读操作(Read)的请求。
We recommend MySQL as the source for the cache, because ClickHouse doesn't handle requests with random reads very well.对于一个字典，数据源可以是本地文件系统的一个文件，在ClickHouse服务器上，或者在MySQL服务器上。
The data source for a dictionary canbe a file in the local file system, the ClickHouse server, or a MySQL server.ClickHouse是什么？ClickHouse是一个开源的，面向列的分析数据库，由Yandex为OLAP和大数据用例创建。
ClickHouse is an open-source, column-oriented analytics database created by Yandex for OLAP and big data use cases.这是最耗时的过程之一，因为我们无法使用ClickHouse的内置工具上传数据。
This was one of ClickHouse允许在运行时创建表和数据库，加载数据和运行查询，而无需重新配置和重新启动服务器。
ClickHouse allows creating tables and databases in runtime, loading data, and running queries without reconfiguring and restarting the server.为了消除OLAPServer的限制，并解决所有报告使用非汇总数据的问题，我们开发了ClickHouseDBMS。
To remove the limitations of OLAPServer and solve the problem of working with non-aggregated data for all reports,we developed the ClickHouse DBMS.在ClickHouse中，我们决定从一开始就把事情做对，我们采用了所有可能的列，并为它们指定最合适的类型。
In ClickHouse, we decided to do everything right from the very start by taking all the columns we could and assigning them the optimal type.最“SQL的”数据库是Oracle、MSSQLServer和ClickHouse，因为它们约1/3的用户以SQL作为其主要语言。
The most‘SQLful' databases are Oracle,MS SQL Server, and ClickHouse, as about a third of their users indicate SQL as their primary language.ClickHouse(以下简称CH)是一个开源的面向列的数据库管理系统，允许实时生成数据分析报告。
ClickHouse(CH in this article) is an open-source column-oriented database management system that allows generating analytical data reports in real time.处理大量的短查询时的吞吐量在相同的条件下，ClickHouse可以在单个服务器上每秒处理几百个查询（在最好的情况下可以达到几千个）。
Under the same conditions, ClickHouse can handle several hundred queries per second on a single server(up to several thousand in the best case).ClickHouse在其他Yandex服务中至少安装了十几个安装：搜索行业，市场，Direct，业务分析，移动开发，AdFox，个人服务等。
ClickHouse has at least a dozen installations in other Yandex services: in search verticals, Market, Direct, business analytics, mobile development, AdFox, personal services, and others.性能根据内部测试结果，ClickHouse在可用于测试的同类系统中显示出最佳性能。
According to internal testing results, ClickHouse shows the best performance for comparable operating scenarios among systems of its class that were available for testing.要在不支持SSE4.2或具有AArch64或PowerPC64LE体系结构的处理器上运行ClickHouse，您应该通过源构建ClickHouse进行适当的配置调整。
To run ClickHouse with processors that do not support SSE 4.2 or have AArch64 or PowerPC64LE architecture, you should build ClickHouse from sources.
