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Documentation Grafana Alloy Reference Standard library array

array

The array namespace contains functions related to arrays.

array.concat

The array.concat function concatenates one or more lists of values into a single list. Each argument to array.concat must be a list value. Elements within the list can be any type.

Examples

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> array.concat([])
[]

> array.concat([1, 2], [3, 4])
[1, 2, 3, 4]

> array.concat([1, 2], [], [bool, null])
[1, 2, bool, null]

> array.concat([[1, 2], [3, 4]], [[5, 6]])
[[1, 2], [3, 4], [5, 6]]

array.combine_maps

EXPERIMENTAL: This is an experimental feature. Experimental features are subject to frequent breaking changes, and may be removed with no equivalent replacement. The stability.level flag must be set to experimental to use the feature.

The array.combine_maps function allows you to join two arrays of maps if certain keys have matching values in both maps. It’s particularly useful when combining labels of targets coming from different prometheus.discovery.* or prometheus.exporter.* components. It takes three arguments:

• The first two arguments are a of type list(map(string)). The keys of the map are strings. The value for each key could be of any Alloy type such as a string, integer, map, or a capsule.
• The third input is an array containing strings. The strings are the keys whose value has to match for maps to be combined.

The maps that don’t contain all the keys provided in the third argument will be discarded. When maps are combined and both contain the same keys, the last value from the second argument will be used.

Pseudo function code:

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for every map in arg1:
  for every map in arg2:
    if the condition key matches in both:
       merge maps and add to result

Examples

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> array.combine_maps([{"instance"="1.1.1.1", "team"="A"}], [{"instance"="1.1.1.1", "cluster"="prod"}], ["instance"])
[{"instance"="1.1.1.1", "team"="A", "cluster"="prod"}]

// Second map overrides the team in the first map
> array.combine_maps([{"instance"="1.1.1.1", "team"="A"}], [{"instance"="1.1.1.1", "team"="B"}], ["instance"])
[{"instance"="1.1.1.1", "team"="B"}]

// If multiple maps from the first argument match with multiple maps from the second argument, different combinations will be created.
> array.combine_maps([{"instance"="1.1.1.1", "team"="A"}, {"instance"="1.1.1.1", "team"="B"}], [{"instance"="1.1.1.1", "cluster"="prod"}, {"instance"="1.1.1.1", "cluster"="ops"}], ["instance"])
[{"instance"="1.1.1.1", "team"="A", "cluster"="prod"}, {"instance"="1.1.1.1", "team"="A", "cluster"="ops"}, {"instance"="1.1.1.1", "team"="B", "cluster"="prod"}, {"instance"="1.1.1.1", "team"="B", "cluster"="ops"}]

Examples using discovery and exporter components:

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> array.combine_maps(discovery.kubernetes.k8s_pods.targets, prometheus.exporter.postgres, ["instance"])

> array.combine_maps(prometheus.exporter.redis.default.targets, [{"instance"="1.1.1.1", "testLabelKey" = "testLabelVal"}], ["instance"])

You can find more examples in the tests.