experimental.distinct() function
experimental.distinct() is subject to change at any time.
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
(<-tables: stream[{A with _value: B}]) => stream[{A with _value: B}]
For more information, see Function type signatures.
Parameters
tables
Input data. Default is piped-forward data (<-).
Examples
Return distinct values from each input table
import "experimental"
import "sampledata"
sampledata.int(includeNull: true)
|> experimental.distinct()
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