migrated all v1 and v2 images to new image structure
Scott Anderson
parent
5144a8c46a
commit
bc8c176e4d
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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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@ -61,7 +61,7 @@ WHERE time > now() - 15m
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### h3 This is a header3
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This is a paragraph. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc rutrum, metus id scelerisque euismod, erat ante suscipit nibh, ac congue enim risus id est. Etiam tristique nisi et tristique auctor. Morbi eu bibendum erat. Sed ullamcorper, dui id lobortis efficitur, mauris odio pharetra neque, vel tempor odio dolor blandit justo.
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{{< img-hd src="/img/test-image-2.png" alt="Test Image" />}}
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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 [`influx repl` command](/v2.0/reference/cli/influx/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](/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](/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](/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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@ -33,13 +33,13 @@ For details on using the Data Explorer, see [Explore metrics](/v2.0/visualize-da
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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](/v2.0/query-data/get-started) to learn more about Fl
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- Select an available [visualization types](/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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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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@ -61,7 +61,7 @@ configure your InfluxDB connection:
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- **Default Bucket**: The default [bucket](/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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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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@ -100,7 +100,7 @@ configure your InfluxDB connection:
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- **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).
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{{< img-hd src="/img/2-0-visualize-grafana-influxql.png" />}}
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{{< img-hd src="/img/influxdb/2-0-visualize-grafana-influxql.png" />}}
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5. 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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@ -35,7 +35,7 @@ Only [user templates](/v2.0/visualize-data/templates/#dashboard-template-types)
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3. Select **User Templates**.
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{{< img-hd src="/img/2-0-templates-type-select.png" alt="Select User Templates" />}}
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{{< img-hd src="/img/influxdb/2-0-templates-type-select.png" alt="Select User Templates" />}}
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4. Hover over the template you want to clone and click **{{< icon "clone" >}}**.
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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:
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3. Select the [template type](/v2.0/visualize-data/templates/#dashboard-template-types).
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{{< img-hd src="/img/2-0-templates-type-select.png" alt="Select User Templates" />}}
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{{< img-hd src="/img/influxdb/2-0-templates-type-select.png" alt="Select User Templates" />}}
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4. Hover over the template you want to use and click **Create**.
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A notification appears confirming the dashboard was created.
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3. Select templates to view:
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{{< img-hd src="/img/2-0-templates-type-select.png" alt="Select User Templates" />}}
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{{< img-hd src="/img/influxdb/2-0-templates-type-select.png" alt="Select User Templates" />}}
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- **Static Templates:** templates included with InfluxDB.
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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
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in the **Variables** tab next to the Functions tab.
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{{< img-hd src="/img/2-0-variables-data-explorer-view.png" />}}
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{{< img-hd src="/img/influxdb/2-0-variables-data-explorer-view.png" />}}
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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
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2. Switch to **Script Editor**.
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3. Click the **Variables** tab to the right of the script editor.
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{{< img-hd src="/img/2-0-variables-data-explorer-view.png" />}}
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{{< img-hd src="/img/influxdb/2-0-variables-data-explorer-view.png" />}}
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@ -1,7 +1,7 @@
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---
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title: Gauge visualization
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list_title: Gauge
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list_image: /img/2-0-visualizations-gauge-example.png
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list_image: /img/influxdb/2-0-visualizations-gauge-example.png
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description: >
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The Gauge view displays the single value most recent value for a time series in a gauge view.
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weight: 206
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The **Gauge** visualization displays the most recent value for a time series in a gauge.
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{{< img-hd src="/img/2-0-visualizations-gauge-example-8.png" alt="Gauge example" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-gauge-example-8.png" alt="Gauge example" />}}
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Select the **Gauge** option from the visualization dropdown in the upper right.
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```
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###### Visualization options for pressure gauge
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{{< img-hd src="/img/2-0-visualizations-gauge-pressure-8.png" alt="Pressure guage example" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-gauge-pressure-8.png" alt="Pressure guage example" />}}
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---
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title: Graph + Single Stat visualization
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list_title: Graph + Single Stat
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list_image: /img/2-0-visualizations-line-graph-single-stat-example.png
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list_image: /img/influxdb/2-0-visualizations-line-graph-single-stat-example.png
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description: >
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The Graph + Single Stat view displays the specified time series in a line graph
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and overlays the single most recent value as a large numeric value.
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The **Graph + Single Stat** view displays the specified time series in a line graph
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and overlays the single most recent value as a large numeric value.
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{{< img-hd src="/img/2-0-visualizations-line-graph-single-stat-example-8.png" alt="Line Graph + Single Stat example" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-line-graph-single-stat-example-8.png" alt="Line Graph + Single Stat example" />}}
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Select the **Graph + Single Stat** option from the visualization dropdown in the upper right.
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)
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```
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###### Memory allocations visualization
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{{< img-hd src="/img/2-0-visualizations-graph-single-stat-mem-8.png" alt="Graph + Single Stat Memory Usage Example" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-graph-single-stat-mem-8.png" alt="Graph + Single Stat Memory Usage Example" />}}
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---
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title: Graph visualization
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list_title: Graph
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list_image: /img/2-0-visualizations-line-graph-example.png
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list_image: /img/influxdb/2-0-visualizations-line-graph-example.png
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description: >
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The Graph view lets you select from multiple graph types such as line graphs and bar graphs *(Coming)*.
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weight: 201
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The Graph visualization provides several types of graphs, each configured through
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the [Graph controls](#graph-controls).
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{{< img-hd src="/img/2-0-visualizations-line-graph-example-8.png" alt="Line Graph example" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-line-graph-example-8.png" alt="Line Graph example" />}}
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Select the **Graph** option from the visualization dropdown in the upper right.
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@ -61,13 +61,13 @@ the visualization dropdown.
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## Graph Examples
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##### Graph with linear interpolation
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{{< img-hd src="/img/2-0-visualizations-line-graph-example-8.png" alt="Line Graph example" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-line-graph-example-8.png" alt="Line Graph example" />}}
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##### Graph with smooth interpolation
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{{< img-hd src="/img/2-0-visualizations-line-graph-smooth-example-8.png" alt="Step-Plot Graph example" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-line-graph-smooth-example-8.png" alt="Step-Plot Graph example" />}}
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##### Graph with step interpolation
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{{< img-hd src="/img/2-0-visualizations-line-graph-step-example-8.png" alt="Step-Plot Graph example" />}}
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{{< img-hd src="/img/influxdb/2-0-visualizations-line-graph-step-example-8.png" alt="Step-Plot Graph example" />}}
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<!-- ##### Stacked Graph example
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{{< img-hd src="/img/2-0-visualizations-stacked-graph-example.png" alt="Stacked Graph example" />}} -->
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---
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title: Heatmap visualization
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list_title: Heatmap
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list_image: /img/2-0-visualizations-heatmap-example.png
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list_image: /img/influxdb/2-0-visualizations-heatmap-example.png
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description: >
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A Heatmap displays the distribution of data on an x and y axes where color
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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" />}}
|
||||
|
|
|
|||
|
|
@ -8,7 +8,7 @@ menu:
|
|||
---
|
||||
## Overview
|
||||
|
||||
|
||||
|
||||
|
||||
Before following the steps below, [download and install](/platform/install-and-deploy/install/) each component of the TICK stack, or [Install the InfluxData Sandbox](/platform/install-and-deploy/deploying/sandbox-install/).
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue