Java 8 Stream flatMap and group by code compiler error

Question

// given a set of Item objects, group them by the managers of creator and owners
Map> managersItems = 
    itemSet.parallelStream().fl         


        

Answer 1

You didn't do anything wrong. Eclipse compiler has problems with type inference that causes these issues. If Luna compatibility is important, you will have to add explicit types to lambda expressions. Try, for example, Map.Entry::<String,Item>getKey

On another note, it's not necessary to convert a List to array to stream it. You can directly call users.stream(). But even creating the List isn't necessary. You can use Stream.concat(Stream.of(item.getCreator()), item.getOwners().stream()) instead (granted, it's a bit unwieldy).

Finally (and most importantly), avoid using parallelStream with blocking code, such as looking up data in an external system. Parallel streams are designed to handle CPU-bound tasks.

Answer 2

I was able to come up with this solution from Misha's answer. This is working with Eclipse Luna Java compiler

Map<String, List<Item>> managersItems = itemSet
    .stream()
     .<Map.Entry<String, Item>> flatMap(item -> {
         return Stream.concat(Stream.of(item.getCreatorLogin()), item.getOwners().stream()).map(
             user -> {
                 LdapUserInfo ldapUser = LdapUserInfoFactory.create(user);
                 String manager = ldapUser.getManagerLoginName();
                 return new AbstractMap.SimpleEntry<String, Item>(manager, info);
             });
         })
    .collect(Collectors.groupingBy(Map.Entry<String, Item>::getKey,
             Collectors.mapping(Map.Entry<String, Item>::getValue,
             Collectors.toList())));