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

%<=>% — %<=>% • SparkR

Equality test that is safe for null values.

x %<=>% value

# S4 method for class 'Column'
x %<=>% value

x

a Column

value

a value to compare

Can be used, unlike standard equality operator, to perform null-safe joins. Equivalent to Scala Column.<=> and Column.eqNullSafe.

if (FALSE) { # \dontrun{
df1 <- createDataFrame(data.frame(
  x = c(1, NA, 3, NA), y = c(2, 6, 3, NA)
))

head(select(df1, df1$x == df1$y, df1$x %<=>% df1$y))

df2 <- createDataFrame(data.frame(y = c(3, NA)))
count(join(df1, df2, df1$y == df2$y))

count(join(df1, df2, df1$y %<=>% df2$y))
} # }

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