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Showing content from https://spark.apache.org/docs/latest/api/R/reference/count.html below:

Count — count • SparkR

Count the number of rows for each group when we have GroupedData input. The resulting SparkDataFrame will also contain the grouping columns.

This can be used as a column aggregate function with Column as input, and returns the number of items in a group.

count(x)

n(x)

# S4 method for class 'GroupedData'
count(x)

# S4 method for class 'Column'
count(x)

# S4 method for class 'Column'
n(x)

x

a GroupedData or Column.

count since 1.4.0

count since 1.4.0

n since 1.4.0

if (FALSE) { # \dontrun{
  count(groupBy(df, "name"))
} # }
if (FALSE) count(df$c) # \dontrun{}
if (FALSE) n(df$c) # \dontrun{}

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