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43 lines
2.3 KiB
Markdown
43 lines
2.3 KiB
Markdown
---
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toc_priority: 45
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toc_title: Monitoring
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---
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# Monitoring {#monitoring}
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You can monitor:
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- Utilization of hardware resources.
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- ClickHouse server metrics.
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## Resource Utilization {#resource-utilization}
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ClickHouse does not monitor the state of hardware resources by itself.
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It is highly recommended to set up monitoring for:
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- Load and temperature on processors.
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You can use [dmesg](https://en.wikipedia.org/wiki/Dmesg), [turbostat](https://www.linux.org/docs/man8/turbostat.html) or other instruments.
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- Utilization of storage system, RAM and network.
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## ClickHouse Server Metrics {#clickhouse-server-metrics}
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ClickHouse server has embedded instruments for self-state monitoring.
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To track server events use server logs. See the [logger](server_configuration_parameters/settings.md#server_configuration_parameters-logger) section of the configuration file.
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ClickHouse collects:
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- Different metrics of how the server uses computational resources.
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- Common statistics on query processing.
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You can find metrics in the [system.metrics](../operations/system_tables.md#system_tables-metrics), [system.events](../operations/system_tables.md#system_tables-events), and [system.asynchronous\_metrics](../operations/system_tables.md#system_tables-asynchronous_metrics) tables.
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You can configure ClickHouse to export metrics to [Graphite](https://github.com/graphite-project). See the [Graphite section](server_configuration_parameters/settings.md#server_configuration_parameters-graphite) in the ClickHouse server configuration file. Before configuring export of metrics, you should set up Graphite by following their official [guide](https://graphite.readthedocs.io/en/latest/install.html).
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Additionally, you can monitor server availability through the HTTP API. Send the `HTTP GET` request to `/ping`. If the server is available, it responds with `200 OK`.
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To monitor servers in a cluster configuration, you should set the [max\_replica\_delay\_for\_distributed\_queries](settings/settings.md#settings-max_replica_delay_for_distributed_queries) parameter and use the HTTP resource `/replicas_status`. A request to `/replicas_status` returns `200 OK` if the replica is available and is not delayed behind the other replicas. If a replica is delayed, it returns `503 HTTP_SERVICE_UNAVAILABLE` with information about the gap.
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