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chart_bar

Visualizes events on an bar chart.

chart_bar x=field, y=any, [x_min=any, x_max=any, y_min=any, y_max=any,
                          resolution=duration, x_log=bool, y_log=bool,
                          group=any, position=string]

Description​

Visualizes events with an bar chart on the Tenzir Platform.

x = field​

Label for each bar.

y = any​

Positions on the y-axis for each data point. Multiple data points for the same group can be be aggregated using an aggregation function.

Multiple y values and their labels can be specified by using the record syntax: {name: value, ...}.

For example, y = {"Avg. Load": mean(load)} calculates the mean of the load field and labels it as Avg. Load.

x_min = any (optional)​

If specified, only charts events where x >= x_min. If resolution is specified, x_min is floored to create a full bucket.

x_max = any (optional)​

If specified, only charts events where x <= x_max. If resolution is specified, x_max is ceiled to create a full bucket.

y_min = any (optional)​

If specified, any y values less than y_min will appear clipped out of the chart.

y_max = any (optional)​

If specified, any y values greater than y_max will appear clipped out of the chart.

resolution = duration (optional)​

This option can be specified to create buckets of the given resolution on the x-axis. An aggregation function must be specified to combine values in the same bucket when resolution is specified.

For example, if the resolution is set to 15min, the x values are floored to create buckets of 15 minutes. Any aggregations specified act on that bucket.

x_log = bool (optional)​

If true, use a logarithmic scale for the x-axis.

Defaults to false.

y_log = bool (optional)​

If true, use a logarithmic scale for the y-axis.

Defaults to false.

group = any (optional)​

Optional expression to group the aggregations with.

position = string (optional)​

Determines how the y values are displayed. Possible values:

  • grouped
  • stacked

Defaults to grouped.

Examples​

Chart count of events imported for every unique schema​

metrics "import"
chart_bar x=schema, y=sum(events), x_min=now()-1d