ClickHouse/docs/zh/introduction/performance.md
Ivan Blinkov 16ca492938
WIP on docs (#3813)
* CLICKHOUSE-4063: less manual html @ index.md

* CLICKHOUSE-4063: recommend markdown="1" in README.md

* CLICKHOUSE-4003: manually purge custom.css for now

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* Hopefully better chinese fonts #3392

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* find . -name '*.md' -type f | xargs -I{} perl -pi -e 's/ sql/g' {}

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* Split third-party GUI to open-source and commercial

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* Mention INSERT+SELECT in backup.md

* Some improvements for replication.md

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2018-12-12 20:28:00 +03:00

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# Performance
根据Yandex的内部测试结果ClickHouse表现出了比同类可比较产品更优的性能。你可以在[这里](https://clickhouse.yandex/benchmark.html)查看具体的测试结果。
许多其他的测试也证实这一点。你可以使用互联网搜索到它们,或者你也可以从[我们收集的部分相关连接](https://clickhouse.yandex/#independent-benchmarks)中查看。
## 单个大查询的吞吐量
吞吐量可以使用每秒处理的行数或每秒处理的字节数来衡量。如果数据被放置在page cache中则一个不太复杂的查询在单个服务器上大约能够以2-10GBs未压缩的速度进行处理对于简单的查询速度可以达到30GBs。如果数据没有在page cache中的话那么速度将取决于你的磁盘系统和数据的压缩率。例如如果一个磁盘允许以400MBs的速度读取数据并且数据压缩率是3则数据的处理速度为1.2GB/s。这意味着如果你是在提取一个10字节的列那么它的处理速度大约是1-2亿行每秒。
对于分布式处理,处理速度几乎是线性扩展的,但这受限于聚合或排序的结果不是那么大的情况下。
## 处理短查询的延迟时间
如果一个查询使用主键并且没有太多行(几十万)进行处理并且没有查询太多的列那么在数据被page cache缓存的情况下它的延迟应该小于50毫秒(在最佳的情况下应该小于10毫秒)。 否则延迟取决于数据的查找次数。如果你当前使用的是HDD在数据没有加载的情况下查询所需要的延迟可以通过以下公式计算得知 查找时间10 ms \* 查询的列的数量 \* 查询的数据块的数量。
## 处理大量短查询的吞吐量
在相同的情况下ClickHouse可以在单个服务器上每秒处理数百个查询在最佳的情况下最多可以处理数千个。但是由于这不适用于分析型场景。因此我们建议每秒最多查询100次。
## 数据的写入性能
我们建议每次写入不少于1000行的批量写入或每秒不超过一个写入请求。当使用tab-separated格式将一份数据写入到MergeTree表中时写入速度大约为50到200MB/s。如果您写入的数据每行为1Kb那么写入的速度为50000到200000行每秒。如果您的行更小那么写入速度将更高。为了提高写入性能您可以使用多个INSERT进行并行写入这将带来线性的性能提升。
[来源文章](https://clickhouse.yandex/docs/en/introduction/performance/) <!--hide-->