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experimental.distinct() function

content/flux/v0/stdlib/experimental/distinct.md

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experimental.distinct() returns unique values from the _value column.

The _value of each output record is set to a distinct value in the specified column. null is considered a distinct value.

experimental.distinct() drops all columns not in the group key and drops empty tables.

Function type signature
js
(<-tables: stream[{A with _value: B}]) => stream[{A with _value: B}]

{{% caption %}} For more information, see Function type signatures. {{% /caption %}}

Parameters

tables

Input data. Default is piped-forward data (<-).

Examples

Return distinct values from each input table

js
import "experimental"
import "sampledata"

sampledata.int(includeNull: true)
    |> experimental.distinct()

{{< expand-wrapper >}} {{% expand "View example input and output" %}}

Input data

_time_value*tag
2021-01-01T00:00:00Z-2t1
2021-01-01T00:00:10Zt1
2021-01-01T00:00:20Z7t1
2021-01-01T00:00:30Zt1
2021-01-01T00:00:40Zt1
2021-01-01T00:00:50Z4t1
_time_value*tag
2021-01-01T00:00:00Zt2
2021-01-01T00:00:10Z4t2
2021-01-01T00:00:20Z-3t2
2021-01-01T00:00:30Z19t2
2021-01-01T00:00:40Zt2
2021-01-01T00:00:50Z1t2

Output data

*tag_value
t1-2
t1
t17
t14
*tag_value
t2
t24
t2-3
t219
t21

{{% /expand %}} {{< /expand-wrapper >}}