我有一个重复观察的SparkR DataFrame
。我找不到删除重复项的简单方法,似乎PySpark dropDuplicates()
函数在SparkR中不可用。例如,如果我有以下DataFrame
,我如何根据fullname
重复的事实删除第2行和第4行?
newHires <- data.frame(name = c("Thomas", "Thomas", "Bill", "Bill"),
surname = c("Smith", "Smith", "Taylor", "Taylor"),
value = c(1.5, 1.5, 3.2, 3.2))
newHires <- withColumn(newHires, 'fullname', concat(newHires$name, newHires$surname))
|name | surname | value | fullname |
|--------|---------|-------|-----------|
|Thomas | Smith | 1.5 |ThomasSmith|
|Thomas | Smith | 1.5 |ThomasSmith|
|Bill | Taylor | 3.2 |BillTaylor |
|Bill | Taylor | 3.2 |BillTaylor |
答案 0 :(得分:1)