resolved merge conflicts
Scott Anderson
commit
226ec726e7
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@ -19,4 +19,4 @@ Enter the HTTP bind address of one of your cluster's meta nodes into that input
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Note that the example above assumes that you do not have authentication enabled.
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If you have authentication enabled, the form requires username and password information.
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For details about monitoring InfluxEnterprise clusters, see [Monitoring InfluxDB Enterprise clusters](/{{< latest "chronograf" >}}/guides/monitoring-influxenterprise-clusters).
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For details about monitoring InfluxEnterprise clusters, see [Monitoring InfluxDB Enterprise clusters](/{{chronograf/v1.8/guides/monitoring-influxenterprise-clusters).
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@ -14,4 +14,4 @@ If you're upgrading from Chronograf 1.4 or later, [download and install](https:/
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> ***Note:*** Installing a new version of Chronograf automatically clears the localStorage settings.
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After upgrading, see [Get started](/chronograf/latest/introduction/getting-started/) to get up and running.
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After upgrading, see [Getting Started](/chronograf/v1.8/introduction/getting-started/) to get up and running.
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@ -1,7 +1,7 @@
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---
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title: Visualization types in Chronograf
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descriptions: >
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Chronograf provides multiple visualization types to visualize your data in a format that makes to the most sense for your use case.
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Chronograf provides multiple visualization types to visualize your data in a format that makes to the most sense for your use case.
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menu:
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chronograf_1_8:
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name: Visualization types
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@ -9,7 +9,7 @@ menu:
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parent: Guides
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---
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Chronograf's dashboard views support the following visualization types, which can be selected in the **Visualization Type** selection view of the [Data Explorer](/chronograf/latest/querying-data) .
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Chronograf's dashboard views support the following visualization types, which can be selected in the **Visualization Type** selection view of the [Data Explorer](/chronograf/v1.8/guides/querying-data).
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[Visualization Type selector](/img/chronograf/1-6-viz-types-selector.png)
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@ -29,7 +29,7 @@ Find data usage information for the time frame specified in the drop-down at the
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- **Rate Limits over the specified time period:** A list of rate limit events over
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the specified time period.
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{{< img-hd src="/img/2-0-cloud-usage.png" />}}
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{{< img-hd src="/img/influxdb/2-0-cloud-usage.png" />}}
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## Exceeded rate limits
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@ -23,7 +23,7 @@ This guide covers the different options:
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## Data Explorer
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Queries can be built, executed, and visualized in InfluxDB UI's Data Explorer.
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## Influx REPL
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The [Flux REPL](/influxdb/v2.0/tools/repl/) starts an interactive
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@ -164,7 +164,7 @@ Table: keys: [_start, _stop, _field, _measurement, cpu]
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**Note that the group key is output with each table: `Table: keys: <group-key>`.**
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### Group by CPU
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Group the `dataSet` stream by the `cpu` column.
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@ -253,7 +253,7 @@ Table: keys: [cpu]
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The visualization remains the same.
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### Group by time
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Grouping data by the `_time` column is a good illustration of how grouping changes the structure of your data.
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@ -378,7 +378,7 @@ Table: keys: [_time]
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Because each timestamp is structured as a separate table, when visualized, all
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points that share the same timestamp appear connected.
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{{% note %}}
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With some further processing, you could calculate the average CPU usage across all CPUs per point
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@ -670,7 +670,7 @@ Table: keys: [_time, cpu]
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When visualized, tables appear as individual, unconnected points.
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Grouping by `cpu` and `_time` is a good illustration of how grouping works.
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@ -76,7 +76,7 @@ logarithmicBins(start: 1.0, factor: 2.0, count: 10, infinity: true)
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The [Histogram visualization type](/influxdb/v2.0/visualize-data/visualization-types/histogram/)
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automatically converts query results into a binned and segmented histogram.
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{{< img-hd src="/img/2-0-visualizations-histogram-example.png" alt="Histogram visualization" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-histogram-example.png" alt="Histogram visualization" />}}
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Use the [Histogram visualization controls](/influxdb/v2.0/visualize-data/visualization-types/histogram/#histogram-controls)
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to specify the number of bins and define groups in bins.
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@ -190,4 +190,4 @@ from(bucket: "example-bucket")
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In the Histogram visualization options, select `_time` as the **X Column**
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and `severity` as the **Group By** option:
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{{< img-hd src="/img/2-0-visualizations-histogram-errors.png" alt="Logs by severity histogram" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-histogram-errors.png" alt="Logs by severity histogram" />}}
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@ -184,7 +184,7 @@ sql.from(
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Use the variable to manipulate queries in your dashboards.
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{{< img-hd src="/img/2-0-sql-dashboard-variable.png" alt="Dashboard variable from SQL query results" />}}
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{{< img-hd src="/img/influxdb/2-0-sql-dashboard-variable.png" alt="Dashboard variable from SQL query results" />}}
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---
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@ -187,7 +187,7 @@ Table: keys: [_start, _stop, _field, _measurement]
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When visualized in the InfluxDB UI, each window table is displayed in a different color.
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## Aggregate data
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[Aggregate functions](/influxdb/v2.0/reference/flux/stdlib/built-in/transformations/aggregates) take the values
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@ -249,7 +249,7 @@ Table: keys: [_start, _stop, _field, _measurement]
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Because each data point is contained in its own table, when visualized,
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they appear as single, unconnected points.
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### Recreate the time column
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**Notice the `_time` column is not in the [aggregated output tables](#mean-output-tables).**
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@ -343,7 +343,7 @@ Table: keys: [_start, _stop, _field, _measurement]
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With the aggregate values in a single table, data points in the visualization are connected.
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## Summing up
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You have now created a Flux query that windows and aggregates data.
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@ -83,7 +83,7 @@ from(bucket:"example-bucket")
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As data is gathered into windows of time, each window is output as its own table.
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When visualized, each table is assigned a unique color.
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## Aggregate windowed data
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Flux aggregate functions take the `_value`s in each table and aggregate them in some way.
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@ -104,7 +104,7 @@ from(bucket:"example-bucket")
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As rows in each window are aggregated, their output table contains only a single row with the aggregate value.
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Windowed tables are all still separate and, when visualized, will appear as single, unconnected points.
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## Add times to your aggregates
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As values are aggregated, the resulting tables do not have a `_time` column because
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@ -150,7 +150,7 @@ from(bucket:"example-bucket")
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Once ungrouped and combined into a single table, the aggregate data points will appear connected in your visualization.
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## Helper functions
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This may seem like a lot of coding just to build a query that aggregates data, however going through the
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@ -27,18 +27,27 @@ influx [command]
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{{% note %}}
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#### Set your credentials
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1. To avoid having to pass your InfluxDB [authentication token](/influxdb/v2.0/users/tokens/) with each `influx` command, set up a configuration profile if you haven't already.
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1. To avoid having to pass your InfluxDB [authentication token](/influxdb/v2.0/security/tokens/view-tokens/) with each `influx` command, set up a configuration profile if you haven't already.
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2. To see if you have a configuration profile, run `influx config`. If nothing is displayed, you don't have a configuration profile.
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3. To configure a profile, use the following command: `influx config create -n default -u $INFLUX_URL -o $INFLUX_ORG -t $INFLUX_TOKEN -a`.
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This configures a new profile named `default` and makes the profile active so commands run against this instance.
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For more detail, see [influx config](https://v2.docs.influxdata.com/v2.0/reference/cli/influx/config/).
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3. To configure a profile, in a terminal, run the following command:
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```sh
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# Set up a configuration profile
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influx config create -n default \
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-u http://localhost:9999 \
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-o example-org \
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-t mySuP3rS3cr3tT0keN \
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-a
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```
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This configures a new profile named `default` and makes the profile active so commands run against this instance.
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For more detail, see [influx config](/influxdb/v2.0/reference/cli/influx/config/).
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{{% /note %}}
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## Commands
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| Command | Description |
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|:------- |:----------- |
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| Command | Description |
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|:------- |:----------- |
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| [apply](/influxdb/v2.0/reference/cli/influx/apply) | Apply an InfluxDB template |
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| [auth](/influxdb/v2.0/reference/cli/influx/auth) | Authorization management commands |
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| [backup](/influxdb/v2.0/reference/cli/influx/backup) | Back up data |
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@ -73,3 +82,4 @@ To override environment variables, set the flag explicitly in your command.
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| Flag | | Description |
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|:---- |:--- |:----------- |
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| `-h` | `--help` | Help for the `influx` command |
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@ -23,7 +23,7 @@ influx transpile [InfluxQL query] [flags]
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{{% note %}}
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The InfluxQL query must be valid and contain both a database and measurement.
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See the [InfluxQL documentation](https://docs.influxdata.com/influxdb/latest/query_language/) for more information.
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See the [InfluxQL documentation](/{{< latest "influxdb" "v1" >}}/query_language/) for more information.
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{{% /note %}}
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## Flags
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@ -11,7 +11,7 @@ menu:
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parent: built-in-inputs
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weight: 401
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related:
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- https://docs.influxdata.com/influxdb/latest/query_language/schema_exploration/#show-databases, InfluxQL - SHOW DATABASES]()
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- /{{< latest "influxdb" "v1" >}}/query_language/schema_exploration/#show-databases, InfluxQL - SHOW DATABASES]()
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---
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The `buckets()` function returns a list of buckets in the organization.
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@ -33,13 +33,13 @@ For details on using the Data Explorer, see [Explore metrics](/influxdb/v2.0/vis
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Click the timezone dropdown to select a timezone to use for the dashboard. Select either the local time (default) or UTC.
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{{< img-hd src="/img/2-0-controls-timezone.png" alt="Select timezone" />}}
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{{< img-hd src="/img/influxdb/2-0-controls-timezone.png" alt="Select timezone" />}}
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### Select auto-refresh interval
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Select how frequently to refresh the dashboard's data. By default, refreshing is paused.
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{{< img-hd src="/img/2-0-controls-refresh-interval.png" alt="Select refresh interval" />}}
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{{< img-hd src="/img/influxdb/2-0-controls-refresh-interval.png" alt="Select refresh interval" />}}
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### Manually refresh dashboard
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@ -49,7 +49,7 @@ Click the refresh button (**{{< icon "refresh" >}}**) to manually refresh the da
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1. Select from the time range options in the dropdown menu.
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{{< img-hd src="/img/2-0-controls-time-range.png" alt="Select time range" />}}
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{{< img-hd src="/img/influxdb/2-0-controls-time-range.png" alt="Select time range" />}}
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2. Select **Custom Time Range** to enter a custom time range with precision up to nanoseconds.
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The default time range is 5 minutes.
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@ -67,4 +67,4 @@ Click the fullscreen icon (**{{< icon "fullscreen" >}}**) to enter presentation
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### Toggle dark mode and light mode
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Click the moon or sun icons to toggle your dashboard between **dark mode** and **light mode.**
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{{< img-hd src="/img/2-0-controls-dark-light-mode.png" alt="Dark & light mode"/>}}
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{{< img-hd src="/img/influxdb/2-0-controls-dark-light-mode.png" alt="Dark & light mode"/>}}
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@ -51,7 +51,7 @@ See [Get started with Flux](/influxdb/v2.0/query-data/get-started) to learn more
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- Select an available [visualization types](/influxdb/v2.0/visualize-data/visualization-types/) from the dropdown menu in the upper-left:
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{{< img-hd src="/img/2-0-visualizations-dropdown.png" title="Visualization dropdown" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-dropdown.png" title="Visualization dropdown" />}}
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## Control your dashboard cell
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@ -62,7 +62,7 @@ To open the cell editor overlay, click the gear icon in the upper right of a cel
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Toggle the **View Raw Data** {{< icon "toggle" >}} option to see your data in table format instead of a graph. Use this option when data can't be visualized using a visualization type.
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{{< img-hd src="/img/beta-8-raw-data.png" alt="View raw data" />}}
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{{< img-hd src="/img/influxdb/2-0-controls-view-raw-data.png" alt="View raw data" />}}
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### Save as CSV
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@ -72,7 +72,7 @@ Click the CSV icon to save the cells contents as a CSV file.
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Select how frequently to refresh the dashboard's data. By default, refreshing is paused.
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{{< img-hd src="/img/beta-8-interval-dropdown.png" alt="Select refresh interval" />}}
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{{< img-hd src="/img/influxdb-influxdb/2-0-controls-refresh-interval.png" alt="Select refresh interval" />}}
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### Manually refresh dashboard
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@ -82,7 +82,7 @@ Click the refresh button ({{< icon "refresh" >}}) to manually refresh the dashbo
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|
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1. Select from the time range options in the dropdown menu.
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{{< img-hd src="/img/2-0-controls-time-range.png" alt="Select time range" />}}
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{{< img-hd src="/img/influxdb/2-0-controls-time-range.png" alt="Select time range" />}}
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2. Select **Custom Time Range** to enter a custom time range with precision up to nanoseconds.
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The default time range is 5m.
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|
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@ -61,7 +61,7 @@ configure your InfluxDB connection:
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- **Default Bucket**: The default [bucket](/influxdb/v2.0/organizations/buckets/) to use in Flux queries.
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- **Min time interval**: The [Grafana minimum time interval](https://grafana.com/docs/grafana/latest/features/datasources/influxdb/#min-time-interval).
|
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{{< img-hd src="/img/2-0-visualize-grafana.png" />}}
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||||
{{< img-hd src="/img/influxdb/2-0-visualize-grafana.png" />}}
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||||
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2. Click **Save & Test**. Grafana attempts to connect to the InfluxDB 2.0 datasource
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and returns the results of the test.
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||||
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@ -100,7 +100,7 @@ configure your InfluxDB connection:
|
|||
- **HTTP Method**: Select **GET**.
|
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- **Min time interval**: The [Grafana minimum time interval](https://grafana.com/docs/grafana/latest/features/datasources/influxdb/#min-time-interval).
|
||||
|
||||
{{< img-hd src="/img/2-0-visualize-grafana-influxql.png" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualize-grafana-influxql.png" />}}
|
||||
|
||||
5. Click **Save & Test**. Grafana attempts to connect to the InfluxDB 2.0 datasource
|
||||
and returns the results of the test.
|
||||
|
|
|
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@ -35,7 +35,7 @@ Only [user templates](/influxdb/v2.0/visualize-data/templates/#dashboard-templat
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|||
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||||
3. Select **User Templates**.
|
||||
|
||||
{{< img-hd src="/img/2-0-templates-type-select.png" alt="Select User Templates" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-templates-type-select.png" alt="Select User Templates" />}}
|
||||
|
||||
4. Hover over the template you want to clone and click **{{< icon "clone" >}}**.
|
||||
5. Click **Clone** to confirm. The cloned template appears in your list.
|
||||
|
|
|
|||
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@ -20,7 +20,7 @@ To create a new dashboard from an InfluxDB dashboard template:
|
|||
|
||||
3. Select the [template type](/influxdb/v2.0/visualize-data/templates/#dashboard-template-types).
|
||||
|
||||
{{< img-hd src="/img/2-0-templates-type-select.png" alt="Select User Templates" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-templates-type-select.png" alt="Select User Templates" />}}
|
||||
|
||||
4. Hover over the template you want to use and click **Create**.
|
||||
A notification appears confirming the dashboard was created.
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||||
|
|
|
|||
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@ -20,7 +20,7 @@ To view templates in the InfluxDB userface (UI):
|
|||
|
||||
3. Select templates to view:
|
||||
|
||||
{{< img-hd src="/img/2-0-templates-type-select.png" alt="Select User Templates" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-templates-type-select.png" alt="Select User Templates" />}}
|
||||
|
||||
- **Static Templates:** templates included with InfluxDB.
|
||||
For more information, see [Static templates](#static-templates) below.
|
||||
|
|
|
|||
|
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@ -33,7 +33,7 @@ from(bucket: v.bucket)
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|||
When building Flux queries for dashboard cells, view available dashboard variables
|
||||
in the **Variables** tab next to the Functions tab.
|
||||
|
||||
{{< img-hd src="/img/2-0-variables-data-explorer-view.png" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-variables-data-explorer-view.png" />}}
|
||||
|
||||
Click a variable name to add it to your query and select a value from the **Value** dropdown.
|
||||
|
||||
|
|
|
|||
|
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@ -30,4 +30,4 @@ View a list of dashboard variables in the InfluxDB user interface (UI) from an o
|
|||
2. Switch to **Script Editor**.
|
||||
3. Click the **Variables** tab to the right of the script editor.
|
||||
|
||||
{{< img-hd src="/img/2-0-variables-data-explorer-view.png" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-variables-data-explorer-view.png" />}}
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
title: Gauge visualization
|
||||
list_title: Gauge
|
||||
list_image: /img/2-0-visualizations-gauge-example.png
|
||||
list_image: /img/influxdb/2-0-visualizations-gauge-example.png
|
||||
description: >
|
||||
The Gauge view displays the single value most recent value for a time series in a gauge view.
|
||||
weight: 206
|
||||
|
|
@ -15,7 +15,7 @@ menu:
|
|||
|
||||
The **Gauge** visualization displays the most recent value for a time series in a gauge.
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-gauge-example-8.png" alt="Gauge example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-gauge-example-8.png" alt="Gauge example" />}}
|
||||
|
||||
Select the **Gauge** option from the visualization dropdown in the upper right.
|
||||
|
||||
|
|
@ -66,4 +66,4 @@ from(bucket: "example-bucket")
|
|||
```
|
||||
|
||||
###### Visualization options for pressure gauge
|
||||
{{< img-hd src="/img/2-0-visualizations-gauge-pressure-8.png" alt="Pressure guage example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-gauge-pressure-8.png" alt="Pressure guage example" />}}
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
title: Graph + Single Stat visualization
|
||||
list_title: Graph + Single Stat
|
||||
list_image: /img/2-0-visualizations-line-graph-single-stat-example.png
|
||||
list_image: /img/influxdb/2-0-visualizations-line-graph-single-stat-example.png
|
||||
description: >
|
||||
The Graph + Single Stat view displays the specified time series in a line graph
|
||||
and overlays the single most recent value as a large numeric value.
|
||||
|
|
@ -20,7 +20,7 @@ related:
|
|||
The **Graph + Single Stat** view displays the specified time series in a line graph
|
||||
and overlays the single most recent value as a large numeric value.
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-line-graph-single-stat-example-8.png" alt="Line Graph + Single Stat example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-line-graph-single-stat-example-8.png" alt="Line Graph + Single Stat example" />}}
|
||||
|
||||
Select the **Graph + Single Stat** option from the visualization dropdown in the upper right.
|
||||
|
||||
|
|
@ -95,4 +95,4 @@ from(bucket: "example-bucket")
|
|||
)
|
||||
```
|
||||
###### Memory allocations visualization
|
||||
{{< img-hd src="/img/2-0-visualizations-graph-single-stat-mem-8.png" alt="Graph + Single Stat Memory Usage Example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-graph-single-stat-mem-8.png" alt="Graph + Single Stat Memory Usage Example" />}}
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
title: Graph visualization
|
||||
list_title: Graph
|
||||
list_image: /img/2-0-visualizations-line-graph-example.png
|
||||
list_image: /img/influxdb/2-0-visualizations-line-graph-example.png
|
||||
description: >
|
||||
The Graph view lets you select from multiple graph types such as line graphs and bar graphs *(Coming)*.
|
||||
weight: 201
|
||||
|
|
@ -16,7 +16,7 @@ menu:
|
|||
The Graph visualization provides several types of graphs, each configured through
|
||||
the [Graph controls](#graph-controls).
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-line-graph-example-8.png" alt="Line Graph example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-line-graph-example-8.png" alt="Line Graph example" />}}
|
||||
|
||||
Select the **Graph** option from the visualization dropdown in the upper right.
|
||||
|
||||
|
|
@ -61,13 +61,13 @@ the visualization dropdown.
|
|||
## Graph Examples
|
||||
|
||||
##### Graph with linear interpolation
|
||||
{{< img-hd src="/img/2-0-visualizations-line-graph-example-8.png" alt="Line Graph example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-line-graph-example-8.png" alt="Line Graph example" />}}
|
||||
|
||||
##### Graph with smooth interpolation
|
||||
{{< img-hd src="/img/2-0-visualizations-line-graph-smooth-example-8.png" alt="Step-Plot Graph example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-line-graph-smooth-example-8.png" alt="Step-Plot Graph example" />}}
|
||||
|
||||
##### Graph with step interpolation
|
||||
{{< img-hd src="/img/2-0-visualizations-line-graph-step-example-8.png" alt="Step-Plot Graph example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-line-graph-step-example-8.png" alt="Step-Plot Graph example" />}}
|
||||
|
||||
<!-- ##### Stacked Graph example
|
||||
{{< img-hd src="/img/2-0-visualizations-stacked-graph-example.png" alt="Stacked Graph example" />}} -->
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
title: Heatmap visualization
|
||||
list_title: Heatmap
|
||||
list_image: /img/2-0-visualizations-heatmap-example.png
|
||||
list_image: /img/influxdb/2-0-visualizations-heatmap-example.png
|
||||
description: >
|
||||
A Heatmap displays the distribution of data on an x and y axes where color
|
||||
represents different concentrations of data points.
|
||||
|
|
@ -19,7 +19,7 @@ related:
|
|||
A **Heatmap** displays the distribution of data on an x and y axes where color
|
||||
represents different concentrations of data points.
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-heatmap-example.png" alt="Heatmap example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-heatmap-example.png" alt="Heatmap example" />}}
|
||||
|
||||
Select the **Heatmap** option from the visualization dropdown in the upper right.
|
||||
|
||||
|
|
@ -98,7 +98,7 @@ and `_value_mem` is selected as the [Y Column](#data).
|
|||
The domain for each axis is also customized to account for the scale difference
|
||||
between column values.
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-heatmap-correlation.png" alt="Heatmap correlation example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-heatmap-correlation.png" alt="Heatmap correlation example" />}}
|
||||
|
||||
|
||||
## Important notes
|
||||
|
|
@ -110,7 +110,7 @@ However, in certain cases, heatmaps provide better visibility into point density
|
|||
|
||||
For example, the dashboard cells below visualize the same query results:
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-heatmap-vs-scatter.png" alt="Heatmap vs Scatter plot" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-heatmap-vs-scatter.png" alt="Heatmap vs Scatter plot" />}}
|
||||
|
||||
The heatmap indicates isolated high point density, which isn't visible in the scatter plot.
|
||||
In the scatter plot visualization, points that share the same X and Y coordinates
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
title: Histogram visualization
|
||||
list_title: Histogram
|
||||
list_image: /img/2-0-visualizations-histogram-example.png
|
||||
list_image: /img/influxdb/2-0-visualizations-histogram-example.png
|
||||
description: >
|
||||
A histogram is a way to view the distribution of data.
|
||||
The y-axis is dedicated to count, and the x-axis is divided into bins.
|
||||
|
|
@ -17,7 +17,7 @@ menu:
|
|||
A histogram is a way to view the distribution of data.
|
||||
The y-axis is dedicated to count, and the X-axis is divided into bins.
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-histogram-example.png" alt="Histogram example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-histogram-example.png" alt="Histogram example" />}}
|
||||
|
||||
Select the **Histogram** option from the visualization dropdown in the upper right.
|
||||
|
||||
|
|
@ -79,4 +79,4 @@ from(bucket: "example-bucket")
|
|||
In the Histogram visualization options, select `_time` as the [X Column](#data)
|
||||
and `severity` as the [Group By](#data) option:
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-histogram-errors.png" alt="Errors histogram" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-histogram-errors.png" alt="Errors histogram" />}}
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
title: Scatter visualization
|
||||
list_title: Scatter
|
||||
list_image: /img/2-0-visualizations-scatter-example.png
|
||||
list_image: /img/influxdb/2-0-visualizations-scatter-example.png
|
||||
description: >
|
||||
The Scatter view uses a scatter plot to display time series data.
|
||||
weight: 208
|
||||
|
|
@ -17,7 +17,7 @@ related:
|
|||
|
||||
The **Scatter** view uses a scatter plot to display time series data.
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-scatter-example.png" alt="Scatter plot example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-scatter-example.png" alt="Scatter plot example" />}}
|
||||
|
||||
Select the **Scatter** option from the visualization dropdown in the upper right.
|
||||
|
||||
|
|
@ -93,7 +93,7 @@ union(tables: [cpu, mem])
|
|||
###### Use a scatter plot to visualize correlation
|
||||
In the Scatter visualization controls, points are differentiated based on their group keys.
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-scatter-correlation.png" alt="Heatmap correlation example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-scatter-correlation.png" alt="Heatmap correlation example" />}}
|
||||
|
||||
## Important notes
|
||||
|
||||
|
|
@ -104,7 +104,7 @@ However, in certain cases, scatterplots can "hide" points if they share the same
|
|||
|
||||
For example, the dashboard cells below visualize the same query results:
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-heatmap-vs-scatter.png" alt="Heatmap vs Scatter plot" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-heatmap-vs-scatter.png" alt="Heatmap vs Scatter plot" />}}
|
||||
|
||||
The heatmap indicates isolated high point density, which isn't visible in the scatter plot.
|
||||
In the scatter plot visualization, points that share the same X and Y coordinates
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
title: Single Stat visualization
|
||||
list_title: Single stat
|
||||
list_image: /img/2-0-visualizations-single-stat-example.png
|
||||
list_image: /img/influxdb/2-0-visualizations-single-stat-example.png
|
||||
description: >
|
||||
The Single Stat view displays the most recent value of the specified time series as a numerical value.
|
||||
weight: 205
|
||||
|
|
@ -15,7 +15,7 @@ menu:
|
|||
|
||||
The **Single Stat** view displays the most recent value of the specified time series as a numerical value.
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-single-stat-example-8.png" alt="Single stat example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-single-stat-example-8.png" alt="Single stat example" />}}
|
||||
|
||||
Select the **Single Stat** option from the visualization dropdown in the upper right.
|
||||
|
||||
|
|
@ -64,4 +64,4 @@ from(bucket: "example-bucket")
|
|||
```
|
||||
|
||||
###### Memory usage as a single stat
|
||||
{{< img-hd src="/img/2-0-visualizations-single-stat-example-8.png" alt="Graph + Single Stat Memory Usage Example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-single-stat-example-8.png" alt="Graph + Single Stat Memory Usage Example" />}}
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
---
|
||||
title: Table visualization
|
||||
list_title: Table
|
||||
list_image: /img/2-0-visualizations-table-example.png
|
||||
list_image: /img/influxdb/2-0-visualizations-table-example.png
|
||||
description: >
|
||||
The Table option displays the results of queries in a tabular view, which is
|
||||
sometimes easier to analyze than graph views of data.
|
||||
|
|
@ -17,7 +17,7 @@ menu:
|
|||
The **Table** option displays the results of queries in a tabular view, which is
|
||||
sometimes easier to analyze than graph views of data.
|
||||
|
||||
{{< img-hd src="/img/2-0-visualizations-table-example.png" alt="Table example" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-table-example.png" alt="Table example" />}}
|
||||
|
||||
Select the **Table** option from the visualization dropdown in the upper right.
|
||||
|
||||
|
|
@ -82,4 +82,4 @@ from(bucket: "example-bucket")
|
|||
```
|
||||
|
||||
###### Cluster metrics in a table
|
||||
{{< img-hd src="/img/2-0-visualizations-table-human-readable.png" alt="Human readable metrics in a table" />}}
|
||||
{{< img-hd src="/img/influxdb/2-0-visualizations-table-human-readable.png" alt="Human readable metrics in a table" />}}
|
||||
|
|
|
|||
|
|
@ -18,7 +18,7 @@ A number of third-party technologies can be configured to send line protocol dir
|
|||
|
||||
If you're using any of the following technologies, check out the handy links below to configure these technologies to write data to InfluxDB (**no additional software to download or install**):
|
||||
|
||||
- (Write metrics only) [Vector 0.9 or later](#configure-vector)
|
||||
- (Write metrics and log events only) [Vector 0.9 or later](#configure-vector)
|
||||
|
||||
- [Apache NiFi 1.8 or later](#configure-apache-nifi)
|
||||
|
||||
|
|
@ -30,9 +30,13 @@ If you're using any of the following technologies, check out the handy links bel
|
|||
|
||||
#### Configure Vector
|
||||
|
||||
1. On the Vector.dev docs site, see the [InfluxDB Metrics Sink](https://vector.dev/docs/reference/sinks/influxdb_metrics/) page.
|
||||
1. View the **Vector documentation**:
|
||||
- For write metrics, [InfluxDB Metrics Sink](https://vector.dev/docs/reference/sinks/influxdb_metrics/)
|
||||
- For log events, [InfluxDB Logs Sink](https://vector.dev/docs/reference/sinks/influxdb_logs/)
|
||||
2. Under **Configuration**, click **v2** to view configuration settings.
|
||||
3. Scroll down to [How It Works](https://vector.dev/docs/reference/sinks/influxdb_metrics/#how-it-works) for more detail.
|
||||
3. Scroll down to **How It Works** for more detail:
|
||||
- [InfluxDB Metrics Sink – How It Works ](https://vector.dev/docs/reference/sinks/influxdb_metrics/#how-it-works)
|
||||
- [InfluxDB Logs Sink – How It Works](https://vector.dev/docs/reference/sinks/influxdb_logs/#how-it-works)
|
||||
|
||||
#### Configure Apache NiFi
|
||||
|
||||
|
|
|
|||
|
|
@ -5,10 +5,6 @@
|
|||
{{ $product := index $productPathData 0 }}
|
||||
{{ $currentVersion := index $productPathData 1 }}
|
||||
|
||||
{{ $productPathData := findRE "[^/]+.*?" .RelPermalink }}
|
||||
{{ $product := index $productPathData 0 }}
|
||||
{{ $currentVersion := index $productPathData 1 }}
|
||||
|
||||
<div class="page-wrapper">
|
||||
{{ partial "sidebar.html" . }}
|
||||
<div class="content-wrapper">
|
||||
|
|
|
|||
Loading…
Reference in New Issue