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The Distributed dashboard lets you monitor important distribution layer health and performance metrics. To view this dashboard, and click Metrics on the left-hand navigation, and then select Dashboard > Distributed.

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Dashboard navigation

Use the Graph menu to display metrics for your entire cluster or for a specific node. To the right of the Graph and Dashboard menus, a time interval selector allows you to filter the view for a predefined or custom time interval. Use the navigation buttons to move to the previous, next, or current time interval. When you select a time interval, the same interval is selected in the pages. However, if you select 10 or 30 minutes, the interval defaults to 1 hour in SQL Activity pages. When viewing graphs, a tooltip will appear at your mouse cursor providing further insight into the data under the mouse cursor. Click anywhere within the graph to pin the tooltip in place, decoupling the tooltip from your mouse movements. Click anywhere within the graph to cause the tooltip to follow your mouse once more.
All timestamps in the DB Console are shown in Coordinated Universal Time (UTC).
The Distributed dashboard displays the following time series graphs:

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Batches

DB Console batches graph The Batches graph displays various details about traffic in the . Hovering over the graph displays values for the following metrics:

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RPCs

DB Console RPCs graph The RPCs graph displays various details about traffic in the . Hovering over the graph displays values for the following metrics:

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RPC Errors

DB Console RPC errors graph The RPC Errors graph displays various details about errors encountered in the . Hovering over the graph displays values for the following metrics:

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KV Transactions

DB Console KV transactions graph The KV Transactions graph displays various details about transactions in the . Hovering over the graph displays values for the following metrics:

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KV Transaction Durations: 99th percentile

DB Console KV transaction durations: 99th percentile graph The KV Transaction Durations: 99th percentile graph displays the 99th percentile of transaction durations over a one-minute period. Hovering over the graph displays values for the following metrics:

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KV Transaction Durations: 90th percentile

DB Console KV transaction durations: 90th percentile graph The KV Transaction Durations: 90th percentile graph displays the 90th percentile of transaction durations over a one-minute period. Hovering over the graph displays values for the following metrics:

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Node Heartbeat Latency: 99th percentile

DB Console node heartbeat latency: 99th percentile graph The Node Heartbeat Latency: 99th percentile graph displays the 99th percentile of time elapsed between heartbeats on the cluster over a one-minute period. Hovering over the graph displays values for the following metrics:

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Node Heartbeat Latency: 90th percentile

DB Console node heartbeat latency: 90th percentile graph The Node Heartbeat Latency: 90th percentile graph displays the 90th percentile of time elapsed between heartbeats on the cluster over a one-minute period. Hovering over the graph displays values for the following metrics:

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Summary and events

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Summary panel

A Summary panel of key metrics is displayed to the right of the timeseries graphs. If you are testing your deployment locally with multiple CockroachDB nodes running on a single machine (this is ), you must explicitly per node in order to display the correct capacity. Otherwise, the machine’s actual disk capacity will be counted as a separate store for each node, thus inflating the computed capacity.

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Events panel

Underneath the Summary panel, the Events panel lists the 5 most recent events logged for all nodes across the cluster. To list all events, click View all events. DB Console Events The following types of events are listed:
  • Database created
  • Database dropped
  • Table created
  • Table dropped
  • Table altered
  • Index created
  • Index dropped
  • View created
  • View dropped
  • Schema change reversed
  • Schema change finished
  • Node joined
  • Node decommissioned
  • Node restarted
  • Cluster setting changed

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See also