Collector
that implement various useful reduction
operations, such as accumulating elements into collections, summarizing
elements according to various criteria, etc.
The following are examples of using the predefined collectors to perform common mutable reduction tasks:
// Accumulate names into a List
List<String> list = people.stream()
.map(Person::getName)
.collect(Collectors.toList());
// Accumulate names into a TreeSet
Set<String> set = people.stream()
.map(Person::getName)
.collect(Collectors.toCollection(TreeSet::new));
// Convert elements to strings and concatenate them, separated by commas
String joined = things.stream()
.map(Object::toString)
.collect(Collectors.joining(", "));
// Compute sum of salaries of employee
int total = employees.stream()
.collect(Collectors.summingInt(Employee::getSalary));
// Group employees by department
Map<Department, List<Employee>> byDept = employees.stream()
.collect(Collectors.groupingBy(Employee::getDepartment));
// Compute sum of salaries by department
Map<Department, Integer> totalByDept = employees.stream()
.collect(Collectors.groupingBy(Employee::getDepartment,
Collectors.summingInt(Employee::getSalary)));
// Partition students into passing and failing
Map<Boolean, List<Student>> passingFailing = students.stream()
.collect(Collectors.partitioningBy(s -> s.getGrade() >= PASS_THRESHOLD));
- Since:
- 1.8
-
Method Summary
Modifier and TypeMethodDescriptionaveragingDouble
(ToDoubleFunction<? super T> mapper) Returns aCollector
that produces the arithmetic mean of a double-valued function applied to the input elements.averagingInt
(ToIntFunction<? super T> mapper) Returns aCollector
that produces the arithmetic mean of an integer-valued function applied to the input elements.averagingLong
(ToLongFunction<? super T> mapper) Returns aCollector
that produces the arithmetic mean of a long-valued function applied to the input elements.static <T,
A, R, RR>
Collector<T, A, RR> collectingAndThen
(Collector<T, A, R> downstream, Function<R, RR> finisher) Adapts aCollector
to perform an additional finishing transformation.counting()
Returns aCollector
accepting elements of typeT
that counts the number of input elements.static <T,
A, R> Collector <T, ?, R> Adapts aCollector
to one accepting elements of the same typeT
by applying the predicate to each input element and only accumulating if the predicate returnstrue
.static <T,
U, A, R>
Collector<T, ?, R> flatMapping
(Function<? super T, ? extends Stream<? extends U>> mapper, Collector<? super U, A, R> downstream) Adapts aCollector
accepting elements of typeU
to one accepting elements of typeT
by applying a flat mapping function to each input element before accumulation.groupingBy
(Function<? super T, ? extends K> classifier) Returns aCollector
implementing a "group by" operation on input elements of typeT
, grouping elements according to a classification function, and returning the results in aMap
.groupingBy
(Function<? super T, ? extends K> classifier, Supplier<M> mapFactory, Collector<? super T, A, D> downstream) Returns aCollector
implementing a cascaded "group by" operation on input elements of typeT
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstreamCollector
.groupingBy
(Function<? super T, ? extends K> classifier, Collector<? super T, A, D> downstream) Returns aCollector
implementing a cascaded "group by" operation on input elements of typeT
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstreamCollector
.static <T,
K> Collector <T, ?, ConcurrentMap<K, List<T>>> groupingByConcurrent
(Function<? super T, ? extends K> classifier) Returns a concurrentCollector
implementing a "group by" operation on input elements of typeT
, grouping elements according to a classification function.static <T,
K, A, D, M extends ConcurrentMap<K, D>>
Collector<T, ?, M> groupingByConcurrent
(Function<? super T, ? extends K> classifier, Supplier<M> mapFactory, Collector<? super T, A, D> downstream) Returns a concurrentCollector
implementing a cascaded "group by" operation on input elements of typeT
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstreamCollector
.static <T,
K, A, D>
Collector<T, ?, ConcurrentMap<K, D>> groupingByConcurrent
(Function<? super T, ? extends K> classifier, Collector<? super T, A, D> downstream) Returns a concurrentCollector
implementing a cascaded "group by" operation on input elements of typeT
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstreamCollector
.static Collector
<CharSequence, ?, String> joining()
Returns aCollector
that concatenates the input elements into aString
, in encounter order.static Collector
<CharSequence, ?, String> joining
(CharSequence delimiter) Returns aCollector
that concatenates the input elements, separated by the specified delimiter, in encounter order.static Collector
<CharSequence, ?, String> joining
(CharSequence delimiter, CharSequence prefix, CharSequence suffix) Returns aCollector
that concatenates the input elements, separated by the specified delimiter, with the specified prefix and suffix, in encounter order.static <T,
U, A, R>
Collector<T, ?, R> Adapts aCollector
accepting elements of typeU
to one accepting elements of typeT
by applying a mapping function to each input element before accumulation.maxBy
(Comparator<? super T> comparator) Returns aCollector
that produces the maximal element according to a givenComparator
, described as anOptional<T>
.minBy
(Comparator<? super T> comparator) Returns aCollector
that produces the minimal element according to a givenComparator
, described as anOptional<T>
.partitioningBy
(Predicate<? super T> predicate) Returns aCollector
which partitions the input elements according to aPredicate
, and organizes them into aMap<Boolean, List<T>>
.partitioningBy
(Predicate<? super T> predicate, Collector<? super T, A, D> downstream) Returns aCollector
which partitions the input elements according to aPredicate
, reduces the values in each partition according to anotherCollector
, and organizes them into aMap<Boolean, D>
whose values are the result of the downstream reduction.reducing
(BinaryOperator<T> op) Returns aCollector
which performs a reduction of its input elements under a specifiedBinaryOperator
.static <T> Collector
<T, ?, T> reducing
(T identity, BinaryOperator<T> op) Returns aCollector
which performs a reduction of its input elements under a specifiedBinaryOperator
using the provided identity.static <T,
U> Collector <T, ?, U> reducing
(U identity, Function<? super T, ? extends U> mapper, BinaryOperator<U> op) Returns aCollector
which performs a reduction of its input elements under a specified mapping function andBinaryOperator
.static <T> Collector
<T, ?, DoubleSummaryStatistics> summarizingDouble
(ToDoubleFunction<? super T> mapper) Returns aCollector
which applies andouble
-producing mapping function to each input element, and returns summary statistics for the resulting values.static <T> Collector
<T, ?, IntSummaryStatistics> summarizingInt
(ToIntFunction<? super T> mapper) Returns aCollector
which applies anint
-producing mapping function to each input element, and returns summary statistics for the resulting values.static <T> Collector
<T, ?, LongSummaryStatistics> summarizingLong
(ToLongFunction<? super T> mapper) Returns aCollector
which applies anlong
-producing mapping function to each input element, and returns summary statistics for the resulting values.summingDouble
(ToDoubleFunction<? super T> mapper) Returns aCollector
that produces the sum of a double-valued function applied to the input elements.summingInt
(ToIntFunction<? super T> mapper) Returns aCollector
that produces the sum of an integer-valued function applied to the input elements.summingLong
(ToLongFunction<? super T> mapper) Returns aCollector
that produces the sum of a long-valued function applied to the input elements.static <T,
R1, R2, R>
Collector<T, ?, R> teeing
(Collector<? super T, ?, R1> downstream1, Collector<? super T, ?, R2> downstream2, BiFunction<? super R1, ? super R2, R> merger) Returns aCollector
that is a composite of two downstream collectors.static <T,
C extends Collection<T>>
Collector<T, ?, C> toCollection
(Supplier<C> collectionFactory) Returns aCollector
that accumulates the input elements into a newCollection
, in encounter order.static <T,
K, U> Collector <T, ?, ConcurrentMap<K, U>> toConcurrentMap
(Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper) Returns a concurrentCollector
that accumulates elements into aConcurrentMap
whose keys and values are the result of applying the provided mapping functions to the input elements.static <T,
K, U> Collector <T, ?, ConcurrentMap<K, U>> toConcurrentMap
(Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper, BinaryOperator<U> mergeFunction) Returns a concurrentCollector
that accumulates elements into aConcurrentMap
whose keys and values are the result of applying the provided mapping functions to the input elements.static <T,
K, U, M extends ConcurrentMap<K, U>>
Collector<T, ?, M> toConcurrentMap
(Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper, BinaryOperator<U> mergeFunction, Supplier<M> mapFactory) Returns a concurrentCollector
that accumulates elements into aConcurrentMap
whose keys and values are the result of applying the provided mapping functions to the input elements.toList()
Returns aCollector
that accumulates the input elements into a newList
.Returns aCollector
that accumulates elements into aMap
whose keys and values are the result of applying the provided mapping functions to the input elements.toMap
(Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper, BinaryOperator<U> mergeFunction) Returns aCollector
that accumulates elements into aMap
whose keys and values are the result of applying the provided mapping functions to the input elements.toMap
(Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper, BinaryOperator<U> mergeFunction, Supplier<M> mapFactory) Returns aCollector
that accumulates elements into aMap
whose keys and values are the result of applying the provided mapping functions to the input elements.toSet()
Returns aCollector
that accumulates the input elements into a newSet
.Returns aCollector
that accumulates the input elements into an unmodifiable List in encounter order.toUnmodifiableMap
(Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper) Returns aCollector
that accumulates the input elements into an unmodifiable Map, whose keys and values are the result of applying the provided mapping functions to the input elements.toUnmodifiableMap
(Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper, BinaryOperator<U> mergeFunction) Returns aCollector
that accumulates the input elements into an unmodifiable Map, whose keys and values are the result of applying the provided mapping functions to the input elements.Returns aCollector
that accumulates the input elements into an unmodifiable Set.
-
Method Details
-
toCollection
public static <T,C extends Collection<T>> Collector<T,?, toCollectionC> (Supplier<C> collectionFactory) Returns aCollector
that accumulates the input elements into a newCollection
, in encounter order. TheCollection
is created by the provided factory.- Type Parameters:
T
- the type of the input elementsC
- the type of the resultingCollection
- Parameters:
collectionFactory
- a supplier providing a new emptyCollection
into which the results will be inserted- Returns:
- a
Collector
which collects all the input elements into aCollection
, in encounter order
-
toList
Returns aCollector
that accumulates the input elements into a newList
. There are no guarantees on the type, mutability, serializability, or thread-safety of theList
returned; if more control over the returnedList
is required, usetoCollection(Supplier)
.- Type Parameters:
T
- the type of the input elements- Returns:
- a
Collector
which collects all the input elements into aList
, in encounter order
-
toUnmodifiableList
Returns aCollector
that accumulates the input elements into an unmodifiable List in encounter order. The returned Collector disallows null values and will throwNullPointerException
if it is presented with a null value.- Type Parameters:
T
- the type of the input elements- Returns:
- a
Collector
that accumulates the input elements into an unmodifiable List in encounter order - Since:
- 10
-
toSet
Returns aCollector
that accumulates the input elements into a newSet
. There are no guarantees on the type, mutability, serializability, or thread-safety of theSet
returned; if more control over the returnedSet
is required, usetoCollection(Supplier)
.This is an
unordered
Collector.- Type Parameters:
T
- the type of the input elements- Returns:
- a
Collector
which collects all the input elements into aSet
-
toUnmodifiableSet
Returns aCollector
that accumulates the input elements into an unmodifiable Set. The returned Collector disallows null values and will throwNullPointerException
if it is presented with a null value. If the input contains duplicate elements, an arbitrary element of the duplicates is preserved.This is an
unordered
Collector.- Type Parameters:
T
- the type of the input elements- Returns:
- a
Collector
that accumulates the input elements into an unmodifiable Set - Since:
- 10
-
joining
Returns aCollector
that concatenates the input elements into aString
, in encounter order.- Returns:
- a
Collector
that concatenates the input elements into aString
, in encounter order
-
joining
Returns aCollector
that concatenates the input elements, separated by the specified delimiter, in encounter order.- Parameters:
delimiter
- the delimiter to be used between each element- Returns:
- A
Collector
which concatenates CharSequence elements, separated by the specified delimiter, in encounter order
-
joining
public static Collector<CharSequence,?, joiningString> (CharSequence delimiter, CharSequence prefix, CharSequence suffix) Returns aCollector
that concatenates the input elements, separated by the specified delimiter, with the specified prefix and suffix, in encounter order.- Parameters:
delimiter
- the delimiter to be used between each elementprefix
- the sequence of characters to be used at the beginning of the joined resultsuffix
- the sequence of characters to be used at the end of the joined result- Returns:
- A
Collector
which concatenates CharSequence elements, separated by the specified delimiter, in encounter order
-
mapping
public static <T,U, Collector<T,A, R> ?, mappingR> (Function<? super T, ? extends U> mapper, Collector<? super U, A, R> downstream) Adapts aCollector
accepting elements of typeU
to one accepting elements of typeT
by applying a mapping function to each input element before accumulation.- API Note:
- The
mapping()
collectors are most useful when used in a multi-level reduction, such as downstream of agroupingBy
orpartitioningBy
. For example, given a stream ofPerson
, to accumulate the set of last names in each city:Map<City, Set<String>> lastNamesByCity = people.stream().collect( groupingBy(Person::getCity, mapping(Person::getLastName, toSet())));
- Type Parameters:
T
- the type of the input elementsU
- type of elements accepted by downstream collectorA
- intermediate accumulation type of the downstream collectorR
- result type of collector- Parameters:
mapper
- a function to be applied to the input elementsdownstream
- a collector which will accept mapped values- Returns:
- a collector which applies the mapping function to the input elements and provides the mapped results to the downstream collector
-
flatMapping
public static <T,U, Collector<T,A, R> ?, flatMappingR> (Function<? super T, ? extends Stream<? extends U>> mapper, Collector<? super U, A, R> downstream) Adapts aCollector
accepting elements of typeU
to one accepting elements of typeT
by applying a flat mapping function to each input element before accumulation. The flat mapping function maps an input element to astream
covering zero or more output elements that are then accumulated downstream. Each mapped stream isclosed
after its contents have been placed downstream. (If a mapped stream isnull
an empty stream is used, instead.)- API Note:
- The
flatMapping()
collectors are most useful when used in a multi-level reduction, such as downstream of agroupingBy
orpartitioningBy
. For example, given a stream ofOrder
, to accumulate the set of line items for each customer:Map<String, Set<LineItem>> itemsByCustomerName = orders.stream().collect( groupingBy(Order::getCustomerName, flatMapping(order -> order.getLineItems().stream(), toSet())));
- Type Parameters:
T
- the type of the input elementsU
- type of elements accepted by downstream collectorA
- intermediate accumulation type of the downstream collectorR
- result type of collector- Parameters:
mapper
- a function to be applied to the input elements, which returns a stream of resultsdownstream
- a collector which will receive the elements of the stream returned by mapper- Returns:
- a collector which applies the mapping function to the input elements and provides the flat mapped results to the downstream collector
- Since:
- 9
-
filtering
public static <T,A, Collector<T,R> ?, filteringR> (Predicate<? super T> predicate, Collector<? super T, A, R> downstream) Adapts aCollector
to one accepting elements of the same typeT
by applying the predicate to each input element and only accumulating if the predicate returnstrue
.- API Note:
- The
filtering()
collectors are most useful when used in a multi-level reduction, such as downstream of agroupingBy
orpartitioningBy
. For example, given a stream ofEmployee
, to accumulate the employees in each department that have a salary above a certain threshold:
A filtering collector differs from a stream'sMap<Department, Set<Employee>> wellPaidEmployeesByDepartment = employees.stream().collect( groupingBy(Employee::getDepartment, filtering(e -> e.getSalary() > 2000, toSet())));
filter()
operation. In this example, suppose there are no employees whose salary is above the threshold in some department. Using a filtering collector as shown above would result in a mapping from that department to an emptySet
. If a streamfilter()
operation were done instead, there would be no mapping for that department at all. - Type Parameters:
T
- the type of the input elementsA
- intermediate accumulation type of the downstream collectorR
- result type of collector- Parameters:
predicate
- a predicate to be applied to the input elementsdownstream
- a collector which will accept values that match the predicate- Returns:
- a collector which applies the predicate to the input elements and provides matching elements to the downstream collector
- Since:
- 9
-
collectingAndThen
public static <T,A, Collector<T,R, RR> A, collectingAndThenRR> (Collector<T, A, R> downstream, Function<R, RR> finisher) Adapts aCollector
to perform an additional finishing transformation. For example, one could adapt thetoList()
collector to always produce an immutable list with:List<String> list = people.stream().collect( collectingAndThen(toList(), Collections::unmodifiableList));
- Type Parameters:
T
- the type of the input elementsA
- intermediate accumulation type of the downstream collectorR
- result type of the downstream collectorRR
- result type of the resulting collector- Parameters:
downstream
- a collectorfinisher
- a function to be applied to the final result of the downstream collector- Returns:
- a collector which performs the action of the downstream collector, followed by an additional finishing step
-
counting
Returns aCollector
accepting elements of typeT
that counts the number of input elements. If no elements are present, the result is 0.- Implementation Requirements:
- This produces a result equivalent to:
reducing(0L, e -> 1L, Long::sum)
- Type Parameters:
T
- the type of the input elements- Returns:
- a
Collector
that counts the input elements
-
minBy
Returns aCollector
that produces the minimal element according to a givenComparator
, described as anOptional<T>
.- Implementation Requirements:
- This produces a result equivalent to:
reducing(BinaryOperator.minBy(comparator))
- Type Parameters:
T
- the type of the input elements- Parameters:
comparator
- aComparator
for comparing elements- Returns:
- a
Collector
that produces the minimal value
-
maxBy
Returns aCollector
that produces the maximal element according to a givenComparator
, described as anOptional<T>
.- Implementation Requirements:
- This produces a result equivalent to:
reducing(BinaryOperator.maxBy(comparator))
- Type Parameters:
T
- the type of the input elements- Parameters:
comparator
- aComparator
for comparing elements- Returns:
- a
Collector
that produces the maximal value
-
summingInt
Returns aCollector
that produces the sum of an integer-valued function applied to the input elements. If no elements are present, the result is 0.- Type Parameters:
T
- the type of the input elements- Parameters:
mapper
- a function extracting the property to be summed- Returns:
- a
Collector
that produces the sum of a derived property
-
summingLong
Returns aCollector
that produces the sum of a long-valued function applied to the input elements. If no elements are present, the result is 0.- Type Parameters:
T
- the type of the input elements- Parameters:
mapper
- a function extracting the property to be summed- Returns:
- a
Collector
that produces the sum of a derived property
-
summingDouble
Returns aCollector
that produces the sum of a double-valued function applied to the input elements. If no elements are present, the result is 0.The sum returned can vary depending upon the order in which values are recorded, due to accumulated rounding error in addition of values of differing magnitudes. Values sorted by increasing absolute magnitude tend to yield more accurate results. If any recorded value is a
NaN
or the sum is at any point aNaN
then the sum will beNaN
.- Type Parameters:
T
- the type of the input elements- Parameters:
mapper
- a function extracting the property to be summed- Returns:
- a
Collector
that produces the sum of a derived property
-
averagingInt
Returns aCollector
that produces the arithmetic mean of an integer-valued function applied to the input elements. If no elements are present, the result is 0.- Type Parameters:
T
- the type of the input elements- Parameters:
mapper
- a function extracting the property to be averaged- Returns:
- a
Collector
that produces the arithmetic mean of a derived property
-
averagingLong
Returns aCollector
that produces the arithmetic mean of a long-valued function applied to the input elements. If no elements are present, the result is 0.- Type Parameters:
T
- the type of the input elements- Parameters:
mapper
- a function extracting the property to be averaged- Returns:
- a
Collector
that produces the arithmetic mean of a derived property
-
averagingDouble
Returns aCollector
that produces the arithmetic mean of a double-valued function applied to the input elements. If no elements are present, the result is 0.The average returned can vary depending upon the order in which values are recorded, due to accumulated rounding error in addition of values of differing magnitudes. Values sorted by increasing absolute magnitude tend to yield more accurate results. If any recorded value is a
NaN
or the sum is at any point aNaN
then the average will beNaN
.- Implementation Note:
- The
double
format can represent all consecutive integers in the range -253 to 253. If the pipeline has more than 253 values, the divisor in the average computation will saturate at 253, leading to additional numerical errors. - Type Parameters:
T
- the type of the input elements- Parameters:
mapper
- a function extracting the property to be averaged- Returns:
- a
Collector
that produces the arithmetic mean of a derived property
-
reducing
Returns aCollector
which performs a reduction of its input elements under a specifiedBinaryOperator
using the provided identity.- API Note:
- The
reducing()
collectors are most useful when used in a multi-level reduction, downstream ofgroupingBy
orpartitioningBy
. To perform a simple reduction on a stream, useStream.reduce(Object, BinaryOperator)
} instead. - Type Parameters:
T
- element type for the input and output of the reduction- Parameters:
identity
- the identity value for the reduction (also, the value that is returned when there are no input elements)op
- aBinaryOperator<T>
used to reduce the input elements- Returns:
- a
Collector
which implements the reduction operation - See Also:
-
reducing
Returns aCollector
which performs a reduction of its input elements under a specifiedBinaryOperator
. The result is described as anOptional<T>
.- API Note:
- The
reducing()
collectors are most useful when used in a multi-level reduction, downstream ofgroupingBy
orpartitioningBy
. To perform a simple reduction on a stream, useStream.reduce(BinaryOperator)
instead.For example, given a stream of
Person
, to calculate tallest person in each city:Comparator<Person> byHeight = Comparator.comparing(Person::getHeight); Map<City, Optional<Person>> tallestByCity = people.stream().collect( groupingBy(Person::getCity, reducing(BinaryOperator.maxBy(byHeight))));
- Type Parameters:
T
- element type for the input and output of the reduction- Parameters:
op
- aBinaryOperator<T>
used to reduce the input elements- Returns:
- a
Collector
which implements the reduction operation - See Also:
-
reducing
public static <T,U> Collector<T,?, reducingU> (U identity, Function<? super T, ? extends U> mapper, BinaryOperator<U> op) Returns aCollector
which performs a reduction of its input elements under a specified mapping function andBinaryOperator
. This is a generalization ofreducing(Object, BinaryOperator)
which allows a transformation of the elements before reduction.- API Note:
- The
reducing()
collectors are most useful when used in a multi-level reduction, downstream ofgroupingBy
orpartitioningBy
. To perform a simple map-reduce on a stream, useStream.map(Function)
andStream.reduce(Object, BinaryOperator)
instead.For example, given a stream of
Person
, to calculate the longest last name of residents in each city:Comparator<String> byLength = Comparator.comparing(String::length); Map<City, String> longestLastNameByCity = people.stream().collect( groupingBy(Person::getCity, reducing("", Person::getLastName, BinaryOperator.maxBy(byLength))));
- Type Parameters:
T
- the type of the input elementsU
- the type of the mapped values- Parameters:
identity
- the identity value for the reduction (also, the value that is returned when there are no input elements)mapper
- a mapping function to apply to each input valueop
- aBinaryOperator<U>
used to reduce the mapped values- Returns:
- a
Collector
implementing the map-reduce operation - See Also:
-
groupingBy
public static <T,K> Collector<T,?, groupingByMap<K, List<T>>> (Function<? super T, ? extends K> classifier) Returns aCollector
implementing a "group by" operation on input elements of typeT
, grouping elements according to a classification function, and returning the results in aMap
.The classification function maps elements to some key type
K
. The collector produces aMap<K, List<T>>
whose keys are the values resulting from applying the classification function to the input elements, and whose corresponding values areList
s containing the input elements which map to the associated key under the classification function.There are no guarantees on the type, mutability, serializability, or thread-safety of the
Map
orList
objects returned.- Implementation Requirements:
- This produces a result similar to:
groupingBy(classifier, toList());
- Implementation Note:
- The returned
Collector
is not concurrent. For parallel stream pipelines, thecombiner
function operates by merging the keys from one map into another, which can be an expensive operation. If preservation of the order in which elements appear in the resultingMap
collector is not required, usinggroupingByConcurrent(Function)
may offer better parallel performance. - Type Parameters:
T
- the type of the input elementsK
- the type of the keys- Parameters:
classifier
- the classifier function mapping input elements to keys- Returns:
- a
Collector
implementing the group-by operation - See Also:
-
groupingBy
public static <T,K, Collector<T,A, D> ?, groupingByMap<K, D>> (Function<? super T, ? extends K> classifier, Collector<? super T, A, D> downstream) Returns aCollector
implementing a cascaded "group by" operation on input elements of typeT
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstreamCollector
.The classification function maps elements to some key type
K
. The downstream collector operates on elements of typeT
and produces a result of typeD
. The resulting collector produces aMap<K, D>
.There are no guarantees on the type, mutability, serializability, or thread-safety of the
Map
returned.For example, to compute the set of last names of people in each city:
Map<City, Set<String>> namesByCity = people.stream().collect( groupingBy(Person::getCity, mapping(Person::getLastName, toSet())));
- Implementation Note:
- The returned
Collector
is not concurrent. For parallel stream pipelines, thecombiner
function operates by merging the keys from one map into another, which can be an expensive operation. If preservation of the order in which elements are presented to the downstream collector is not required, usinggroupingByConcurrent(Function, Collector)
may offer better parallel performance. - Type Parameters:
T
- the type of the input elementsK
- the type of the keysA
- the intermediate accumulation type of the downstream collectorD
- the result type of the downstream reduction- Parameters:
classifier
- a classifier function mapping input elements to keysdownstream
- aCollector
implementing the downstream reduction- Returns:
- a
Collector
implementing the cascaded group-by operation - See Also:
-
groupingBy
public static <T,K, Collector<T,D, A, M extends Map<K, D>> ?, groupingByM> (Function<? super T, ? extends K> classifier, Supplier<M> mapFactory, Collector<? super T, A, D> downstream) Returns aCollector
implementing a cascaded "group by" operation on input elements of typeT
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstreamCollector
. TheMap
produced by the Collector is created with the supplied factory function.The classification function maps elements to some key type
K
. The downstream collector operates on elements of typeT
and produces a result of typeD
. The resulting collector produces aMap<K, D>
.For example, to compute the set of last names of people in each city, where the city names are sorted:
Map<City, Set<String>> namesByCity = people.stream().collect( groupingBy(Person::getCity, TreeMap::new, mapping(Person::getLastName, toSet())));
- Implementation Note:
- The returned
Collector
is not concurrent. For parallel stream pipelines, thecombiner
function operates by merging the keys from one map into another, which can be an expensive operation. If preservation of the order in which elements are presented to the downstream collector is not required, usinggroupingByConcurrent(Function, Supplier, Collector)
may offer better parallel performance. - Type Parameters:
T
- the type of the input elementsK
- the type of the keysD
- the result type of the downstream reductionA
- the intermediate accumulation type of the downstream collectorM
- the type of the resultingMap
- Parameters:
classifier
- a classifier function mapping input elements to keysmapFactory
- a supplier providing a new emptyMap
into which the results will be inserteddownstream
- aCollector
implementing the downstream reduction- Returns:
- a
Collector
implementing the cascaded group-by operation - See Also:
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groupingByConcurrent
public static <T,K> Collector<T,?, groupingByConcurrentConcurrentMap<K, List<T>>> (Function<? super T, ? extends K> classifier) Returns a concurrentCollector
implementing a "group by" operation on input elements of typeT
, grouping elements according to a classification function.This is a
concurrent
andunordered
Collector.The classification function maps elements to some key type
K
. The collector produces aConcurrentMap<K, List<T>>
whose keys are the values resulting from applying the classification function to the input elements, and whose corresponding values areList
s containing the input elements which map to the associated key under the classification function.There are no guarantees on the type, mutability, or serializability of the
ConcurrentMap
orList
objects returned, or of the thread-safety of theList
objects returned.- Implementation Requirements:
- This produces a result similar to:
groupingByConcurrent(classifier, toList());
- Type Parameters:
T
- the type of the input elementsK
- the type of the keys- Parameters:
classifier
- a classifier function mapping input elements to keys- Returns:
- a concurrent, unordered
Collector
implementing the group-by operation - See Also:
-
groupingByConcurrent
public static <T,K, Collector<T,A, D> ?, groupingByConcurrentConcurrentMap<K, D>> (Function<? super T, ? extends K> classifier, Collector<? super T, A, D> downstream) Returns a concurrentCollector
implementing a cascaded "group by" operation on input elements of typeT
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstreamCollector
.This is a
concurrent
andunordered
Collector.The classification function maps elements to some key type
K
. The downstream collector operates on elements of typeT
and produces a result of typeD
. The resulting collector produces aConcurrentMap<K, D>
.There are no guarantees on the type, mutability, or serializability of the
ConcurrentMap
returned.For example, to compute the set of last names of people in each city, where the city names are sorted:
ConcurrentMap<City, Set<String>> namesByCity = people.stream().collect( groupingByConcurrent(Person::getCity, mapping(Person::getLastName, toSet())));
- Type Parameters:
T
- the type of the input elementsK
- the type of the keysA
- the intermediate accumulation type of the downstream collectorD
- the result type of the downstream reduction- Parameters:
classifier
- a classifier function mapping input elements to keysdownstream
- aCollector
implementing the downstream reduction- Returns:
- a concurrent, unordered
Collector
implementing the cascaded group-by operation - See Also:
-
groupingByConcurrent
public static <T,K, Collector<T,A, D, M extends ConcurrentMap<K, D>> ?, groupingByConcurrentM> (Function<? super T, ? extends K> classifier, Supplier<M> mapFactory, Collector<? super T, A, D> downstream) Returns a concurrentCollector
implementing a cascaded "group by" operation on input elements of typeT
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstreamCollector
. TheConcurrentMap
produced by the Collector is created with the supplied factory function.This is a
concurrent
andunordered
Collector.The classification function maps elements to some key type
K
. The downstream collector operates on elements of typeT
and produces a result of typeD
. The resulting collector produces aConcurrentMap<K, D>
.For example, to compute the set of last names of people in each city, where the city names are sorted:
ConcurrentMap<City, Set<String>> namesByCity = people.stream().collect( groupingByConcurrent(Person::getCity, ConcurrentSkipListMap::new, mapping(Person::getLastName, toSet())));
- Type Parameters:
T
- the type of the input elementsK
- the type of the keysA
- the intermediate accumulation type of the downstream collectorD
- the result type of the downstream reductionM
- the type of the resultingConcurrentMap
- Parameters:
classifier
- a classifier function mapping input elements to keysmapFactory
- a supplier providing a new emptyConcurrentMap
into which the results will be inserteddownstream
- aCollector
implementing the downstream reduction- Returns:
- a concurrent, unordered
Collector
implementing the cascaded group-by operation - See Also:
-
partitioningBy
public static <T> Collector<T,?, partitioningByMap<Boolean, List<T>>> (Predicate<? super T> predicate) Returns aCollector
which partitions the input elements according to aPredicate
, and organizes them into aMap<Boolean, List<T>>
. The returnedMap
always contains mappings for bothfalse
andtrue
keys. There are no guarantees on the type, mutability, serializability, or thread-safety of theMap
orList
returned.- API Note:
- If a partition has no elements, its value in the result Map will be an empty List.
- Type Parameters:
T
- the type of the input elements- Parameters:
predicate
- a predicate used for classifying input elements- Returns:
- a
Collector
implementing the partitioning operation - See Also:
-
partitioningBy
public static <T,D, Collector<T,A> ?, partitioningByMap<Boolean, D>> (Predicate<? super T> predicate, Collector<? super T, A, D> downstream) Returns aCollector
which partitions the input elements according to aPredicate
, reduces the values in each partition according to anotherCollector
, and organizes them into aMap<Boolean, D>
whose values are the result of the downstream reduction.The returned
Map
always contains mappings for bothfalse
andtrue
keys. There are no guarantees on the type, mutability, serializability, or thread-safety of theMap
returned.- API Note:
- If a partition has no elements, its value in the result Map will be obtained by calling the downstream collector's supplier function and then applying the finisher function.
- Type Parameters:
T
- the type of the input elementsD
- the result type of the downstream reductionA
- the intermediate accumulation type of the downstream collector- Parameters:
predicate
- a predicate used for classifying input elementsdownstream
- aCollector
implementing the downstream reduction- Returns:
- a
Collector
implementing the cascaded partitioning operation - See Also:
-
toMap
public static <T,K, Collector<T,U> ?, toMapMap<K, U>> (Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper) Returns aCollector
that accumulates elements into aMap
whose keys and values are the result of applying the provided mapping functions to the input elements.If the mapped keys contain duplicates (according to
Object.equals(Object)
), anIllegalStateException
is thrown when the collection operation is performed. If the mapped keys might have duplicates, usetoMap(Function, Function, BinaryOperator)
instead.There are no guarantees on the type, mutability, serializability, or thread-safety of the
Map
returned.- API Note:
- It is common for either the key or the value to be the input elements.
In this case, the utility method
Function.identity()
may be helpful. For example, the following produces aMap
mapping students to their grade point average:
And the following produces aMap<Student, Double> studentToGPA = students.stream().collect( toMap(Function.identity(), student -> computeGPA(student)));
Map
mapping a unique identifier to students:Map<String, Student> studentIdToStudent = students.stream().collect( toMap(Student::getId, Function.identity()));
- Implementation Note:
- The returned
Collector
is not concurrent. For parallel stream pipelines, thecombiner
function operates by merging the keys from one map into another, which can be an expensive operation. If it is not required that results are inserted into theMap
in encounter order, usingtoConcurrentMap(Function, Function)
may offer better parallel performance. - Type Parameters:
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping function- Parameters:
keyMapper
- a mapping function to produce keysvalueMapper
- a mapping function to produce values- Returns:
- a
Collector
which collects elements into aMap
whose keys and values are the result of applying mapping functions to the input elements - See Also:
-
toUnmodifiableMap
public static <T,K, Collector<T,U> ?, toUnmodifiableMapMap<K, U>> (Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper) Returns aCollector
that accumulates the input elements into an unmodifiable Map, whose keys and values are the result of applying the provided mapping functions to the input elements.If the mapped keys contain duplicates (according to
Object.equals(Object)
), anIllegalStateException
is thrown when the collection operation is performed. If the mapped keys might have duplicates, usetoUnmodifiableMap(Function, Function, BinaryOperator)
to handle merging of the values.The returned Collector disallows null keys and values. If either mapping function returns null,
NullPointerException
will be thrown.- Type Parameters:
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping function- Parameters:
keyMapper
- a mapping function to produce keys, must be non-nullvalueMapper
- a mapping function to produce values, must be non-null- Returns:
- a
Collector
that accumulates the input elements into an unmodifiable Map, whose keys and values are the result of applying the provided mapping functions to the input elements - Throws:
NullPointerException
- if either keyMapper or valueMapper is null- Since:
- 10
- See Also:
-
toMap
public static <T,K, Collector<T,U> ?, toMapMap<K, U>> (Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper, BinaryOperator<U> mergeFunction) Returns aCollector
that accumulates elements into aMap
whose keys and values are the result of applying the provided mapping functions to the input elements.If the mapped keys contain duplicates (according to
Object.equals(Object)
), the value mapping function is applied to each equal element, and the results are merged using the provided merging function.There are no guarantees on the type, mutability, serializability, or thread-safety of the
Map
returned.- API Note:
- There are multiple ways to deal with collisions between multiple elements
mapping to the same key. The other forms of
toMap
simply use a merge function that throws unconditionally, but you can easily write more flexible merge policies. For example, if you have a stream ofPerson
, and you want to produce a "phone book" mapping name to address, but it is possible that two persons have the same name, you can do as follows to gracefully deal with these collisions, and produce aMap
mapping names to a concatenated list of addresses:Map<String, String> phoneBook = people.stream().collect( toMap(Person::getName, Person::getAddress, (s, a) -> s + ", " + a));
- Implementation Note:
- The returned
Collector
is not concurrent. For parallel stream pipelines, thecombiner
function operates by merging the keys from one map into another, which can be an expensive operation. If it is not required that results are merged into theMap
in encounter order, usingtoConcurrentMap(Function, Function, BinaryOperator)
may offer better parallel performance. - Type Parameters:
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping function- Parameters:
keyMapper
- a mapping function to produce keysvalueMapper
- a mapping function to produce valuesmergeFunction
- a merge function, used to resolve collisions between values associated with the same key, as supplied toMap.merge(Object, Object, BiFunction)
- Returns:
- a
Collector
which collects elements into aMap
whose keys are the result of applying a key mapping function to the input elements, and whose values are the result of applying a value mapping function to all input elements equal to the key and combining them using the merge function - See Also:
-
toUnmodifiableMap
public static <T,K, Collector<T,U> ?, toUnmodifiableMapMap<K, U>> (Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper, BinaryOperator<U> mergeFunction) Returns aCollector
that accumulates the input elements into an unmodifiable Map, whose keys and values are the result of applying the provided mapping functions to the input elements.If the mapped keys contain duplicates (according to
Object.equals(Object)
), the value mapping function is applied to each equal element, and the results are merged using the provided merging function.The returned Collector disallows null keys and values. If either mapping function returns null,
NullPointerException
will be thrown.- Type Parameters:
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping function- Parameters:
keyMapper
- a mapping function to produce keys, must be non-nullvalueMapper
- a mapping function to produce values, must be non-nullmergeFunction
- a merge function, used to resolve collisions between values associated with the same key, as supplied toMap.merge(Object, Object, BiFunction)
, must be non-null- Returns:
- a
Collector
that accumulates the input elements into an unmodifiable Map, whose keys and values are the result of applying the provided mapping functions to the input elements - Throws:
NullPointerException
- if the keyMapper, valueMapper, or mergeFunction is null- Since:
- 10
- See Also:
-
toMap
public static <T,K, Collector<T,U, M extends Map<K, U>> ?, toMapM> (Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper, BinaryOperator<U> mergeFunction, Supplier<M> mapFactory) Returns aCollector
that accumulates elements into aMap
whose keys and values are the result of applying the provided mapping functions to the input elements.If the mapped keys contain duplicates (according to
Object.equals(Object)
), the value mapping function is applied to each equal element, and the results are merged using the provided merging function. TheMap
is created by a provided supplier function.- Implementation Note:
- The returned
Collector
is not concurrent. For parallel stream pipelines, thecombiner
function operates by merging the keys from one map into another, which can be an expensive operation. If it is not required that results are merged into theMap
in encounter order, usingtoConcurrentMap(Function, Function, BinaryOperator, Supplier)
may offer better parallel performance. - Type Parameters:
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping functionM
- the type of the resultingMap
- Parameters:
keyMapper
- a mapping function to produce keysvalueMapper
- a mapping function to produce valuesmergeFunction
- a merge function, used to resolve collisions between values associated with the same key, as supplied toMap.merge(Object, Object, BiFunction)
mapFactory
- a supplier providing a new emptyMap
into which the results will be inserted- Returns:
- a
Collector
which collects elements into aMap
whose keys are the result of applying a key mapping function to the input elements, and whose values are the result of applying a value mapping function to all input elements equal to the key and combining them using the merge function - See Also:
-
toConcurrentMap
public static <T,K, Collector<T,U> ?, toConcurrentMapConcurrentMap<K, U>> (Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper) Returns a concurrentCollector
that accumulates elements into aConcurrentMap
whose keys and values are the result of applying the provided mapping functions to the input elements.If the mapped keys contain duplicates (according to
Object.equals(Object)
), anIllegalStateException
is thrown when the collection operation is performed. If the mapped keys may have duplicates, usetoConcurrentMap(Function, Function, BinaryOperator)
instead.There are no guarantees on the type, mutability, or serializability of the
ConcurrentMap
returned.- API Note:
- It is common for either the key or the value to be the input elements.
In this case, the utility method
Function.identity()
may be helpful. For example, the following produces aConcurrentMap
mapping students to their grade point average:
And the following produces aConcurrentMap<Student, Double> studentToGPA = students.stream().collect( toConcurrentMap(Function.identity(), student -> computeGPA(student)));
ConcurrentMap
mapping a unique identifier to students:ConcurrentMap<String, Student> studentIdToStudent = students.stream().collect( toConcurrentMap(Student::getId, Function.identity()));
This is a
concurrent
andunordered
Collector. - Type Parameters:
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping function- Parameters:
keyMapper
- the mapping function to produce keysvalueMapper
- the mapping function to produce values- Returns:
- a concurrent, unordered
Collector
which collects elements into aConcurrentMap
whose keys are the result of applying a key mapping function to the input elements, and whose values are the result of applying a value mapping function to the input elements - See Also:
-
toConcurrentMap
public static <T,K, Collector<T,U> ?, toConcurrentMapConcurrentMap<K, U>> (Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper, BinaryOperator<U> mergeFunction) Returns a concurrentCollector
that accumulates elements into aConcurrentMap
whose keys and values are the result of applying the provided mapping functions to the input elements.If the mapped keys contain duplicates (according to
Object.equals(Object)
), the value mapping function is applied to each equal element, and the results are merged using the provided merging function.There are no guarantees on the type, mutability, or serializability of the
ConcurrentMap
returned.- API Note:
- There are multiple ways to deal with collisions between multiple elements
mapping to the same key. The other forms of
toConcurrentMap
simply use a merge function that throws unconditionally, but you can easily write more flexible merge policies. For example, if you have a stream ofPerson
, and you want to produce a "phone book" mapping name to address, but it is possible that two persons have the same name, you can do as follows to gracefully deal with these collisions, and produce aConcurrentMap
mapping names to a concatenated list of addresses:ConcurrentMap<String, String> phoneBook = people.stream().collect( toConcurrentMap(Person::getName, Person::getAddress, (s, a) -> s + ", " + a));
This is a
concurrent
andunordered
Collector. - Type Parameters:
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping function- Parameters:
keyMapper
- a mapping function to produce keysvalueMapper
- a mapping function to produce valuesmergeFunction
- a merge function, used to resolve collisions between values associated with the same key, as supplied toMap.merge(Object, Object, BiFunction)
- Returns:
- a concurrent, unordered
Collector
which collects elements into aConcurrentMap
whose keys are the result of applying a key mapping function to the input elements, and whose values are the result of applying a value mapping function to all input elements equal to the key and combining them using the merge function - See Also:
-
toConcurrentMap
public static <T,K, Collector<T,U, M extends ConcurrentMap<K, U>> ?, toConcurrentMapM> (Function<? super T, ? extends K> keyMapper, Function<? super T, ? extends U> valueMapper, BinaryOperator<U> mergeFunction, Supplier<M> mapFactory) Returns a concurrentCollector
that accumulates elements into aConcurrentMap
whose keys and values are the result of applying the provided mapping functions to the input elements.If the mapped keys contain duplicates (according to
Object.equals(Object)
), the value mapping function is applied to each equal element, and the results are merged using the provided merging function. TheConcurrentMap
is created by a provided supplier function.This is a
concurrent
andunordered
Collector.- Type Parameters:
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping functionM
- the type of the resultingConcurrentMap
- Parameters:
keyMapper
- a mapping function to produce keysvalueMapper
- a mapping function to produce valuesmergeFunction
- a merge function, used to resolve collisions between values associated with the same key, as supplied toMap.merge(Object, Object, BiFunction)
mapFactory
- a supplier providing a new emptyConcurrentMap
into which the results will be inserted- Returns:
- a concurrent, unordered
Collector
which collects elements into aConcurrentMap
whose keys are the result of applying a key mapping function to the input elements, and whose values are the result of applying a value mapping function to all input elements equal to the key and combining them using the merge function - See Also:
-
summarizingInt
public static <T> Collector<T,?, summarizingIntIntSummaryStatistics> (ToIntFunction<? super T> mapper) Returns aCollector
which applies anint
-producing mapping function to each input element, and returns summary statistics for the resulting values.- Type Parameters:
T
- the type of the input elements- Parameters:
mapper
- a mapping function to apply to each element- Returns:
- a
Collector
implementing the summary-statistics reduction - See Also:
-
summarizingLong
public static <T> Collector<T,?, summarizingLongLongSummaryStatistics> (ToLongFunction<? super T> mapper) Returns aCollector
which applies anlong
-producing mapping function to each input element, and returns summary statistics for the resulting values.- Type Parameters:
T
- the type of the input elements- Parameters:
mapper
- the mapping function to apply to each element- Returns:
- a
Collector
implementing the summary-statistics reduction - See Also:
-
summarizingDouble
public static <T> Collector<T,?, summarizingDoubleDoubleSummaryStatistics> (ToDoubleFunction<? super T> mapper) Returns aCollector
which applies andouble
-producing mapping function to each input element, and returns summary statistics for the resulting values.- Type Parameters:
T
- the type of the input elements- Parameters:
mapper
- a mapping function to apply to each element- Returns:
- a
Collector
implementing the summary-statistics reduction - See Also:
-
teeing
public static <T,R1, Collector<T,R2, R> ?, teeingR> (Collector<? super T, ?, R1> downstream1, Collector<? super T, ?, R2> downstream2, BiFunction<? super R1, ? super R2, R> merger) Returns aCollector
that is a composite of two downstream collectors. Every element passed to the resulting collector is processed by both downstream collectors, then their results are merged using the specified merge function into the final result.The resulting collector functions do the following:
- supplier: creates a result container that contains result containers obtained by calling each collector's supplier
- accumulator: calls each collector's accumulator with its result container and the input element
- combiner: calls each collector's combiner with two result containers
- finisher: calls each collector's finisher with its result container, then calls the supplied merger and returns its result.
The resulting collector is
Collector.Characteristics.UNORDERED
if both downstream collectors are unordered andCollector.Characteristics.CONCURRENT
if both downstream collectors are concurrent.- Type Parameters:
T
- the type of the input elementsR1
- the result type of the first collectorR2
- the result type of the second collectorR
- the final result type- Parameters:
downstream1
- the first downstream collectordownstream2
- the second downstream collectormerger
- the function which merges two results into the single one- Returns:
- a
Collector
which aggregates the results of two supplied collectors. - Since:
- 12
-