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}]
Parameters
tables
Input data. Default is piped-forward data (<-).
Examples
Count the number of rows in a table
import "experimental"
import "sampledata"
sampledata.int()
|> experimental.count()
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