experimental.count() function

experimental.count() is subject to change at any time. By using this function, you accept the risks of experimental functions.

experimental.count() returns the number of records in each input table.

The count is returned in the _value column and counts both null and non-null records.

Counts on empty tables

experimental.count() returns 0 for empty tables. To keep empty tables in your data, set the following parameters when using the following functions:

filter(onEmpty: "keep")
window(createEmpty: true)
aggregateWindow(createEmpty: true)
Function type signature
(<-tables: stream[{A with _value: B}]) => stream[{A with _value: int}]
For more information, see Function type signatures.



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


Count the number of rows in a table

import "experimental"
import "sampledata"
    |> experimental.count()

View example input and ouput

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