集群方式部署 - 查询服务器(Query server)
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@ -34,7 +34,7 @@ AWS 上面硬件的配置为:
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#### 数据服务器(Data server)
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Historicals 和 MiddleManagers 可以合并到同一个服务器上,这个 2 个进程在你的集群中用于处理实际的数据。通常来说越大更大的 CPU, RAM, SSDs硬盘越好更好。
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Historicals 和 MiddleManagers 可以合并到同一个服务器上,这个 2 个进程在你的集群中用于处理实际的数据。通常来说越大 CPU, RAM, SSDs硬盘越好。
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在本示例中,我们将会在 [i3.4xlarge](https://aws.amazon.com/ec2/instance-types/i3/) 部署一个评估的服务器和实例。
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@ -48,21 +48,20 @@ AWS 上面硬件的配置为:
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#### 查询服务器(Query server)
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Druid Brokers accept queries and farm them out to the rest of the cluster. They also optionally maintain an
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in-memory query cache. These servers benefit greatly from CPU and RAM.
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Druid Brokers 可以接受查询,并且将接受的查询发送到集群中处理。同时他们也负责维护内存中的查询缓存, 常来说越大的 CPU, RAM 越好。
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In this example, we will be deploying the equivalent of one AWS [m5.2xlarge](https://aws.amazon.com/ec2/instance-types/m5/) instance.
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在本示例中,我们将会在 [m5.2xlarge](https://aws.amazon.com/ec2/instance-types/m5/) 部署一个评估的服务器和实例。
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This hardware offers:
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AWS 上面硬件的配置为:
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- 8 vCPUs
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- 31 GB RAM
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You can consider co-locating any open source UIs or query libraries on the same server that the Broker is running on.
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你也可以考虑在运行 Broker 进程的查询服务器上部署任何开源的 UI 或者查询库。
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Example Query server configurations that have been sized for this hardware can be found under `conf/druid/cluster/query`.
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有关本服务器的配置信息和有关硬件大小的建议,可以在文件,可以在文件 `conf/druid/cluster/query` 中找到。
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#### Other Hardware Sizes
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#### 其他硬件大小
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The example cluster above is chosen as a single example out of many possible ways to size a Druid cluster.
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