从scala Spark中的RDD [type]获取不同的行

Question

假设我有一个RDD格式，例如RDD [employee]，示例数据如下：-

FName,LName,Department,Salary
dubert,tomasz ,paramedic i/c,91080.00,
edwards,tim p,lieutenant,114846.00,
edwards,tim p,lieutenant,234846.00,
edwards,tim p,lieutenant,354846.00,
elkins,eric j,police,104628.00,
estrada,luis f,police officer,96060.00,
ewing,marie a,clerk,53076.00,
ewing,marie a,clerk,13076.00,
ewing,marie a,clerk,63076.00,
finn,sean p,firefighter,87006.00,
fitch,jordan m,law clerk,14.51
fitch,jordan m,law clerk,14.51

预期输出：-

dubert,tomasz ,paramedic i/c,91080.00,
edwards,tim p,lieutenant,354846.00,
elkins,eric j,police,104628.00,
estrada,luis f,police officer,96060.00,
ewing,marie a,clerk,63076.00,
finn,sean p,firefighter,87006.00,
fitch,jordan m,law clerk,14.51

我希望每行都基于不同的Fname

Answer 1

我认为您想做这样的事情：

df
.groupBy('Fname)
.agg(
  first('LName),
  first('Department),
  first('Salary)
)