To calculate dept wise statistics like min,max,average we can use following code : empList.stream.collect(Collectors.groupingBy(Employee::getDeptId, Collectors. summarizingDouble(Employee::getSal))) ; it returns Map . Just for knowledge purpose sharing my thoughts.. Don't take it in another way.
why using reducing ? we can directly use the maxBy on groupBy DepartmentId. Map maxSalaryByDept = employeeList.stream().collect(Collectors.groupingBy(Employee::getEmployeeDepartmentId, Collectors.maxBy(Comparator.comparing(Employee::getSalary)))); maxSalaryByDept.forEach((k,v)->{System.out.println("Dept "+k+" Salary "+v);});
The intention is to emphasis on the importance of these programs so that viewers can pay more attention to prepare for the same and will get benefit in the interview.
Thank you sir for making this video. . To get active and Inactive works in a single Iteration we can use partitionBy() method. Sample Code : employeeList.stream().collect( Collectors.partitioningBy(emp->"active".equalsIgnoreCase(emp.getName())) , It returns Map . At the calling place map.get(true) for active and map.get(false) for inactive.. We have n number of ways it is the one of the way.
Can we do like this also? List.stream(). collect (Collectors.groupingBy(Employee: getStatus(), Collectors.counting()); It will first group by on basis of Active and Inactive and then count it.
