使用Prometheus的InfoMetricFamily在Grafana中进行表格可视化 [英] Make table visualization in Grafana using Prometheus's InfoMetricFamily

问题描述

我有以下代码:

c = InfoMetricFamily("health", "Health Monitoring")
c.add_metric(labels=name, value={"name": name, "status": status, "value": value})

为普罗米修斯提供以下指标:

that supply Prometheus with following metric:

# HELP health_info Health Monitoring
# TYPE health_info gauge
health_info{name="external",status="danger",value="N\\A"} 1.0

我想在Grafana中构建表仪表板，其中name，status，value将是列.我该怎么办?

I would like to build table dashboard in Grafana where name, status, value will be columns. How could I do this?

推荐答案

从Grafana开始表格面板支持显示Prometheus标签.

Since Grafana v4.3, the table panel supports the display of Prometheus labels.

要创建显示，请在仪表板上添加表格面板:

To create the display, add a table panel in your dashboard:

1. 在Query选项卡中

1. 将Instant切换为True并将Format设置为Table;如果您先填写查询，则可能会收到 BIG 响应，冻结窗口
2. 在Metrics中写您的查询:就您而言health_info

1. Toggle Instant to True and set Format to Table; if you start by filling the query you may have a BIG response freezing your window
2. Write your query in Metrics: in your case health_info

在可视化选项卡中，您将控制应显示的列并设置其显示格式

In the visualization Tab, you will control the columns that should appear and format their display

1. 删除Time列(除非您需要它，我个人很少这样做)
2. 将总体规则/.*/设置为Hidden类型；它将隐藏您的所有列
3. 使用Add column style来隐藏要显示的列，方法是在Apply to columns named中键入然后输入名称(完成效果很好)
4. 您可以在Column Header中调整列的名称并调整显示内容

1. Remove the Time column (unless you need it, personally I rarely do)
2. Set the catchall rule /.*/ to Type Hidden; it will hide all your columns
3. Use Add column style to hide a column to display by typing then name in Apply to columns named (the completion works well)
4. You can adjust name of column in Column Header and tune the display

注意:当前，您无法修改列的顺序.

NOTE: currently, you cannot modify the order of the columns.

如果要在同一行上显示多个指标，请注意:

If you want to display multiple metrics on the same lines note that:

• 所有标签必须匹配:通过应用聚合函数删除有冲突的标签
• 指标的名称是标签:您还需要摆脱__name__标签
• 添加第二个值时，第一个值的列名称更改为Value #A，并且需要调整显示内容

• all labels must match: remove conflicting ones by apply an aggregation function
• the name of the metric is a label: you need also to get rid of __name__ label
• When adding the second value, the name of the column of the first value changes to Value #A and the display needs to be adjusted

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