How do I create two different compliementary lists using same input
In my previous question - How to filter the age while grouping in map with list I was able to find the name to age groups using List<User> users
. Now I am trying to find the different User groups from ages according to the threshold. I tried this
List<User> userAboveThreshold = users.stream().filter(u -> u.getAge() > 21).collect(toList());
List<User> userBelowThreshold = users.stream().filter(u -> u.getAge() <= 21).collect(toList());
This time it works I can see using
userAboveThreshold.forEach(u -> System.out.println(u.getName() + " " + u.getAge()));
userBelowThreshold.forEach(u -> System.out.println(u.getName() + " " + u.getAge()));
But I have to access the users list again to find the complimentary list. Can this not be done simpler?
java java-stream
add a comment |
In my previous question - How to filter the age while grouping in map with list I was able to find the name to age groups using List<User> users
. Now I am trying to find the different User groups from ages according to the threshold. I tried this
List<User> userAboveThreshold = users.stream().filter(u -> u.getAge() > 21).collect(toList());
List<User> userBelowThreshold = users.stream().filter(u -> u.getAge() <= 21).collect(toList());
This time it works I can see using
userAboveThreshold.forEach(u -> System.out.println(u.getName() + " " + u.getAge()));
userBelowThreshold.forEach(u -> System.out.println(u.getName() + " " + u.getAge()));
But I have to access the users list again to find the complimentary list. Can this not be done simpler?
java java-stream
add a comment |
In my previous question - How to filter the age while grouping in map with list I was able to find the name to age groups using List<User> users
. Now I am trying to find the different User groups from ages according to the threshold. I tried this
List<User> userAboveThreshold = users.stream().filter(u -> u.getAge() > 21).collect(toList());
List<User> userBelowThreshold = users.stream().filter(u -> u.getAge() <= 21).collect(toList());
This time it works I can see using
userAboveThreshold.forEach(u -> System.out.println(u.getName() + " " + u.getAge()));
userBelowThreshold.forEach(u -> System.out.println(u.getName() + " " + u.getAge()));
But I have to access the users list again to find the complimentary list. Can this not be done simpler?
java java-stream
In my previous question - How to filter the age while grouping in map with list I was able to find the name to age groups using List<User> users
. Now I am trying to find the different User groups from ages according to the threshold. I tried this
List<User> userAboveThreshold = users.stream().filter(u -> u.getAge() > 21).collect(toList());
List<User> userBelowThreshold = users.stream().filter(u -> u.getAge() <= 21).collect(toList());
This time it works I can see using
userAboveThreshold.forEach(u -> System.out.println(u.getName() + " " + u.getAge()));
userBelowThreshold.forEach(u -> System.out.println(u.getName() + " " + u.getAge()));
But I have to access the users list again to find the complimentary list. Can this not be done simpler?
java java-stream
java java-stream
asked Dec 20 '18 at 13:26
Mani
2351320
2351320
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
List.removeAll
You can use removeAll
to obtain the complimentary list.
List<User> userBelowThreshold = new ArrayList<>(users); // initiated with 'users'
userBelowThreshold.removeAll(userAboveThreshold);
Note: This would require overridden equals
and hashCode
implementation for User
.
Collectors.partitioningBy
On the other hand, if you further want to iterate over the complete users
list just once, you can use Collectors.partitioningBy
as:
Map<Boolean, List<User>> userAgeMap = users.stream()
.collect(Collectors.partitioningBy(user -> user.getAge() > 21, Collectors.toList()));
List<User> userAboveThreshold = userAgeMap.get(Boolean.TRUE);
List<User> userBelowThreshold = userAgeMap.get(Boolean.FALSE);
1
For those concerned about the cost of using a map here, worry not,Collectors.partitioningBy
returns a custom map class that stores the 2 partitions (holding the thetrue
andfalse
member) directly inline.
– Alexander
Dec 20 '18 at 18:47
add a comment |
You're after the partitioningBy
collector:
Map<Boolean, List<User>> result =
users.stream().collect(partitioningBy(u -> u.getAge() > 21));
Then use it as follows:
List<User> userAboveThreshold = result.get(true);
List<User> userBelowThreshold = result.get(false);
2
@Mani well you should also know that internally it uses a specialized map with two keys only, faster look-up then aHashMap
for example
– Eugene
Dec 20 '18 at 13:58
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
List.removeAll
You can use removeAll
to obtain the complimentary list.
List<User> userBelowThreshold = new ArrayList<>(users); // initiated with 'users'
userBelowThreshold.removeAll(userAboveThreshold);
Note: This would require overridden equals
and hashCode
implementation for User
.
Collectors.partitioningBy
On the other hand, if you further want to iterate over the complete users
list just once, you can use Collectors.partitioningBy
as:
Map<Boolean, List<User>> userAgeMap = users.stream()
.collect(Collectors.partitioningBy(user -> user.getAge() > 21, Collectors.toList()));
List<User> userAboveThreshold = userAgeMap.get(Boolean.TRUE);
List<User> userBelowThreshold = userAgeMap.get(Boolean.FALSE);
1
For those concerned about the cost of using a map here, worry not,Collectors.partitioningBy
returns a custom map class that stores the 2 partitions (holding the thetrue
andfalse
member) directly inline.
– Alexander
Dec 20 '18 at 18:47
add a comment |
List.removeAll
You can use removeAll
to obtain the complimentary list.
List<User> userBelowThreshold = new ArrayList<>(users); // initiated with 'users'
userBelowThreshold.removeAll(userAboveThreshold);
Note: This would require overridden equals
and hashCode
implementation for User
.
Collectors.partitioningBy
On the other hand, if you further want to iterate over the complete users
list just once, you can use Collectors.partitioningBy
as:
Map<Boolean, List<User>> userAgeMap = users.stream()
.collect(Collectors.partitioningBy(user -> user.getAge() > 21, Collectors.toList()));
List<User> userAboveThreshold = userAgeMap.get(Boolean.TRUE);
List<User> userBelowThreshold = userAgeMap.get(Boolean.FALSE);
1
For those concerned about the cost of using a map here, worry not,Collectors.partitioningBy
returns a custom map class that stores the 2 partitions (holding the thetrue
andfalse
member) directly inline.
– Alexander
Dec 20 '18 at 18:47
add a comment |
List.removeAll
You can use removeAll
to obtain the complimentary list.
List<User> userBelowThreshold = new ArrayList<>(users); // initiated with 'users'
userBelowThreshold.removeAll(userAboveThreshold);
Note: This would require overridden equals
and hashCode
implementation for User
.
Collectors.partitioningBy
On the other hand, if you further want to iterate over the complete users
list just once, you can use Collectors.partitioningBy
as:
Map<Boolean, List<User>> userAgeMap = users.stream()
.collect(Collectors.partitioningBy(user -> user.getAge() > 21, Collectors.toList()));
List<User> userAboveThreshold = userAgeMap.get(Boolean.TRUE);
List<User> userBelowThreshold = userAgeMap.get(Boolean.FALSE);
List.removeAll
You can use removeAll
to obtain the complimentary list.
List<User> userBelowThreshold = new ArrayList<>(users); // initiated with 'users'
userBelowThreshold.removeAll(userAboveThreshold);
Note: This would require overridden equals
and hashCode
implementation for User
.
Collectors.partitioningBy
On the other hand, if you further want to iterate over the complete users
list just once, you can use Collectors.partitioningBy
as:
Map<Boolean, List<User>> userAgeMap = users.stream()
.collect(Collectors.partitioningBy(user -> user.getAge() > 21, Collectors.toList()));
List<User> userAboveThreshold = userAgeMap.get(Boolean.TRUE);
List<User> userBelowThreshold = userAgeMap.get(Boolean.FALSE);
edited Dec 20 '18 at 13:37
answered Dec 20 '18 at 13:27
nullpointer
43.1k1093178
43.1k1093178
1
For those concerned about the cost of using a map here, worry not,Collectors.partitioningBy
returns a custom map class that stores the 2 partitions (holding the thetrue
andfalse
member) directly inline.
– Alexander
Dec 20 '18 at 18:47
add a comment |
1
For those concerned about the cost of using a map here, worry not,Collectors.partitioningBy
returns a custom map class that stores the 2 partitions (holding the thetrue
andfalse
member) directly inline.
– Alexander
Dec 20 '18 at 18:47
1
1
For those concerned about the cost of using a map here, worry not,
Collectors.partitioningBy
returns a custom map class that stores the 2 partitions (holding the the true
and false
member) directly inline.– Alexander
Dec 20 '18 at 18:47
For those concerned about the cost of using a map here, worry not,
Collectors.partitioningBy
returns a custom map class that stores the 2 partitions (holding the the true
and false
member) directly inline.– Alexander
Dec 20 '18 at 18:47
add a comment |
You're after the partitioningBy
collector:
Map<Boolean, List<User>> result =
users.stream().collect(partitioningBy(u -> u.getAge() > 21));
Then use it as follows:
List<User> userAboveThreshold = result.get(true);
List<User> userBelowThreshold = result.get(false);
2
@Mani well you should also know that internally it uses a specialized map with two keys only, faster look-up then aHashMap
for example
– Eugene
Dec 20 '18 at 13:58
add a comment |
You're after the partitioningBy
collector:
Map<Boolean, List<User>> result =
users.stream().collect(partitioningBy(u -> u.getAge() > 21));
Then use it as follows:
List<User> userAboveThreshold = result.get(true);
List<User> userBelowThreshold = result.get(false);
2
@Mani well you should also know that internally it uses a specialized map with two keys only, faster look-up then aHashMap
for example
– Eugene
Dec 20 '18 at 13:58
add a comment |
You're after the partitioningBy
collector:
Map<Boolean, List<User>> result =
users.stream().collect(partitioningBy(u -> u.getAge() > 21));
Then use it as follows:
List<User> userAboveThreshold = result.get(true);
List<User> userBelowThreshold = result.get(false);
You're after the partitioningBy
collector:
Map<Boolean, List<User>> result =
users.stream().collect(partitioningBy(u -> u.getAge() > 21));
Then use it as follows:
List<User> userAboveThreshold = result.get(true);
List<User> userBelowThreshold = result.get(false);
answered Dec 20 '18 at 13:26
Aomine
40.3k73870
40.3k73870
2
@Mani well you should also know that internally it uses a specialized map with two keys only, faster look-up then aHashMap
for example
– Eugene
Dec 20 '18 at 13:58
add a comment |
2
@Mani well you should also know that internally it uses a specialized map with two keys only, faster look-up then aHashMap
for example
– Eugene
Dec 20 '18 at 13:58
2
2
@Mani well you should also know that internally it uses a specialized map with two keys only, faster look-up then a
HashMap
for example– Eugene
Dec 20 '18 at 13:58
@Mani well you should also know that internally it uses a specialized map with two keys only, faster look-up then a
HashMap
for example– Eugene
Dec 20 '18 at 13:58
add a comment |
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