public final class Collectors extends Object
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));
Modifier and Type | Method | Description |
---|---|---|
static <T> Collector |
averagingDouble |
Returns a Collector that produces the arithmetic mean of a double-valued function applied to the input elements. |
static <T> Collector |
averagingInt |
Returns a Collector that produces the arithmetic mean of an integer-valued function applied to the input elements. |
static <T> Collector |
averagingLong |
Returns a Collector that produces the arithmetic mean of a long-valued function applied to the input elements. |
static <T, |
collectingAndThen |
Adapts a Collector to perform an additional finishing transformation. |
static <T> Collector |
counting() |
Returns a Collector accepting elements of type T that counts the number of input elements. |
static <T, |
filtering |
Adapts a Collector to one accepting elements of the same type T by applying the predicate to each input element and only accumulating if the predicate returns true . |
static <T, |
flatMapping |
Adapts a Collector accepting elements of type U to one accepting elements of type T by applying a flat mapping function to each input element before accumulation. |
static <T, |
groupingBy |
Returns a Collector implementing a "group by" operation on input elements of type T , grouping elements according to a classification function, and returning the results in a Map . |
static <T, |
groupingBy |
Returns a Collector implementing a cascaded "group by" operation on input elements of type T , grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstream Collector . |
static <T, |
groupingBy |
Returns a Collector implementing a cascaded "group by" operation on input elements of type T , grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstream Collector . |
static <T, |
groupingByConcurrent |
Returns a concurrent Collector implementing a "group by" operation on input elements of type T , grouping elements according to a classification function. |
static <T, |
groupingByConcurrent |
Returns a concurrent Collector implementing a cascaded "group by" operation on input elements of type T , grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstream Collector . |
static <T, |
groupingByConcurrent |
Returns a concurrent Collector implementing a cascaded "group by" operation on input elements of type T , grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstream Collector . |
static Collector |
joining() |
Returns a Collector that concatenates the input elements into a String , in encounter order. |
static Collector |
joining |
Returns a Collector that concatenates the input elements, separated by the specified delimiter, in encounter order. |
static Collector |
joining |
Returns a Collector that concatenates the input elements, separated by the specified delimiter, with the specified prefix and suffix, in encounter order. |
static <T, |
mapping |
Adapts a Collector accepting elements of type U to one accepting elements of type T by applying a mapping function to each input element before accumulation. |
static <T> Collector |
maxBy |
Returns a Collector that produces the maximal element according to a given Comparator , described as an Optional<T> . |
static <T> Collector |
minBy |
Returns a Collector that produces the minimal element according to a given Comparator , described as an Optional<T> . |
static <T> Collector |
partitioningBy |
Returns a Collector which partitions the input elements according to a Predicate , and organizes them into a Map<Boolean, List<T>> . |
static <T, |
partitioningBy |
Returns a Collector which partitions the input elements according to a Predicate , reduces the values in each partition according to another Collector , and organizes them into a Map<Boolean, D> whose values are the result of the downstream reduction. |
static <T> Collector |
reducing |
Returns a Collector which performs a reduction of its input elements under a specified BinaryOperator . |
static <T> Collector |
reducing |
Returns a Collector which performs a reduction of its input elements under a specified BinaryOperator using the provided identity. |
static <T, |
reducing |
Returns a Collector which performs a reduction of its input elements under a specified mapping function and BinaryOperator . |
static <T> Collector |
summarizingDouble |
Returns a Collector which applies an double -producing mapping function to each input element, and returns summary statistics for the resulting values. |
static <T> Collector |
summarizingInt |
Returns a Collector which applies an int -producing mapping function to each input element, and returns summary statistics for the resulting values. |
static <T> Collector |
summarizingLong |
Returns a Collector which applies an long -producing mapping function to each input element, and returns summary statistics for the resulting values. |
static <T> Collector |
summingDouble |
Returns a Collector that produces the sum of a double-valued function applied to the input elements. |
static <T> Collector |
summingInt |
Returns a Collector that produces the sum of an integer-valued function applied to the input elements. |
static <T> Collector |
summingLong |
Returns a Collector that produces the sum of a long-valued function applied to the input elements. |
static <T, |
teeing |
Returns a Collector that is a composite of two downstream collectors. |
static <T, |
toCollection |
Returns a Collector that accumulates the input elements into a new Collection , in encounter order. |
static <T, |
toConcurrentMap |
Returns a concurrent Collector that accumulates elements into a ConcurrentMap whose keys and values are the result of applying the provided mapping functions to the input elements. |
static <T, |
toConcurrentMap |
Returns a concurrent Collector that accumulates elements into a ConcurrentMap whose keys and values are the result of applying the provided mapping functions to the input elements. |
static <T, |
toConcurrentMap |
Returns a concurrent Collector that accumulates elements into a ConcurrentMap whose keys and values are the result of applying the provided mapping functions to the input elements. |
static <T> Collector |
toList() |
Returns a Collector that accumulates the input elements into a new List . |
static <T, |
toMap |
Returns a Collector that accumulates elements into a Map whose keys and values are the result of applying the provided mapping functions to the input elements. |
static <T, |
toMap |
Returns a Collector that accumulates elements into a Map whose keys and values are the result of applying the provided mapping functions to the input elements. |
static <T, |
toMap |
Returns a Collector that accumulates elements into a Map whose keys and values are the result of applying the provided mapping functions to the input elements. |
static <T> Collector |
toSet() |
Returns a Collector that accumulates the input elements into a new Set . |
static <T> Collector |
toUnmodifiableList() |
Returns a Collector that accumulates the input elements into an unmodifiable List in encounter order. |
static <T, |
toUnmodifiableMap |
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. |
static <T, |
toUnmodifiableMap |
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. |
static <T> Collector |
toUnmodifiableSet() |
Returns a Collector that accumulates the input elements into an unmodifiable Set. |
public static <T, C extends Collection<T>> Collector<T,?,C> toCollection(Supplier<C> collectionFactory)
Collector
that accumulates the input elements into a new Collection
, in encounter order. The Collection
is created by the provided factory.T
- the type of the input elementsC
- the type of the resulting Collection
collectionFactory
- a supplier providing a new empty Collection
into which the results will be insertedCollector
which collects all the input elements into a Collection
, in encounter orderpublic static <T> Collector<T,?,List<T>> toList()
Collector
that accumulates the input elements into a new List
. There are no guarantees on the type, mutability, serializability, or thread-safety of the List
returned; if more control over the returned List
is required, use toCollection(Supplier)
.T
- the type of the input elementsCollector
which collects all the input elements into a List
, in encounter orderpublic static <T> Collector<T,?,List<T>> toUnmodifiableList()
Collector
that accumulates the input elements into an unmodifiable List in encounter order. The returned Collector disallows null values and will throw NullPointerException
if it is presented with a null value.T
- the type of the input elementsCollector
that accumulates the input elements into an unmodifiable List in encounter orderpublic static <T> Collector<T,?,Set<T>> toSet()
Collector
that accumulates the input elements into a new Set
. There are no guarantees on the type, mutability, serializability, or thread-safety of the Set
returned; if more control over the returned Set
is required, use toCollection(Supplier)
. This is an unordered
Collector.
T
- the type of the input elementsCollector
which collects all the input elements into a Set
public static <T> Collector<T,?,Set<T>> toUnmodifiableSet()
Collector
that accumulates the input elements into an unmodifiable Set. The returned Collector disallows null values and will throw NullPointerException
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.
T
- the type of the input elementsCollector
that accumulates the input elements into an unmodifiable Set
public static Collector<CharSequence,?,String> joining()
Collector
that concatenates the input elements into a String
, in encounter order.Collector
that concatenates the input elements into a String
, in encounter orderpublic static Collector<CharSequence,?,String> joining(CharSequence delimiter)
Collector
that concatenates the input elements, separated by the specified delimiter, in encounter order.delimiter
- the delimiter to be used between each elementCollector
which concatenates CharSequence elements, separated by the specified delimiter, in encounter orderpublic static Collector<CharSequence,?,String> joining(CharSequence delimiter, CharSequence prefix, CharSequence suffix)
Collector
that concatenates the input elements, separated by the specified delimiter, with the specified prefix and suffix, in encounter order.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 resultCollector
which concatenates CharSequence elements, separated by the specified delimiter, in encounter orderpublic static <T, U, A, R> Collector<T,?,R> mapping(Function<? super T,? extends U> mapper, Collector<? super U,A,R> downstream)
Collector
accepting elements of type U
to one accepting elements of type T
by applying a mapping function to each input element before accumulation.mapping()
collectors are most useful when used in a multi-level reduction, such as downstream of a groupingBy
or partitioningBy
. For example, given a stream of Person
, 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())));
T
- the type of the input elementsU
- type of elements accepted by downstream collectorA
- intermediate accumulation type of the downstream collectorR
- result type of collectormapper
- a function to be applied to the input elementsdownstream
- a collector which will accept mapped valuespublic static <T, U, A, R> Collector<T,?,R> flatMapping(Function<? super T,? extends Stream<? extends U>> mapper, Collector<? super U,A,R> downstream)
Collector
accepting elements of type U
to one accepting elements of type T
by applying a flat mapping function to each input element before accumulation. The flat mapping function maps an input element to a stream
covering zero or more output elements that are then accumulated downstream. Each mapped stream is closed
after its contents have been placed downstream. (If a mapped stream is null
an empty stream is used, instead.)flatMapping()
collectors are most useful when used in a multi-level reduction, such as downstream of a groupingBy
or partitioningBy
. For example, given a stream of Order
, 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())));
T
- the type of the input elementsU
- type of elements accepted by downstream collectorA
- intermediate accumulation type of the downstream collectorR
- result type of collectormapper
- 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 mapperpublic static <T, A, R> Collector<T,?,R> filtering(Predicate<? super T> predicate, Collector<? super T,A,R> downstream)
Collector
to one accepting elements of the same type T
by applying the predicate to each input element and only accumulating if the predicate returns true
.filtering()
collectors are most useful when used in a multi-level reduction, such as downstream of a groupingBy
or partitioningBy
. For example, given a stream of Employee
, to accumulate the employees in each department that have a salary above a certain threshold:
Map<Department, Set<Employee>> wellPaidEmployeesByDepartment
= employees.stream().collect(
groupingBy(Employee::getDepartment,
filtering(e -> e.getSalary() > 2000,
toSet())));
A filtering collector differs from a stream's 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 empty Set
. If a stream filter()
operation were done instead, there would be no mapping for that department at all.T
- the type of the input elementsA
- intermediate accumulation type of the downstream collectorR
- result type of collectorpredicate
- a predicate to be applied to the input elementsdownstream
- a collector which will accept values that match the predicatepublic static <T, A, R, RR> Collector<T,A,RR> collectingAndThen(Collector<T,A,R> downstream, Function<R,RR> finisher)
Collector
to perform an additional finishing transformation. For example, one could adapt the toList()
collector to always produce an immutable list with:
List<String> list = people.stream().collect(
collectingAndThen(toList(),
Collections::unmodifiableList));
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 collectordownstream
- a collectorfinisher
- a function to be applied to the final result of the downstream collectorpublic static <T> Collector<T,?,Long> counting()
Collector
accepting elements of type T
that counts the number of input elements. If no elements are present, the result is 0.
reducing(0L, e -> 1L, Long::sum)
T
- the type of the input elementsCollector
that counts the input elementspublic static <T> Collector<T,?,Optional<T>> minBy(Comparator<? super T> comparator)
Collector
that produces the minimal element according to a given Comparator
, described as an Optional<T>
.
reducing(BinaryOperator.minBy(comparator))
T
- the type of the input elementscomparator
- a Comparator
for comparing elementsCollector
that produces the minimal valuepublic static <T> Collector<T,?,Optional<T>> maxBy(Comparator<? super T> comparator)
Collector
that produces the maximal element according to a given Comparator
, described as an Optional<T>
.
reducing(BinaryOperator.maxBy(comparator))
T
- the type of the input elementscomparator
- a Comparator
for comparing elementsCollector
that produces the maximal valuepublic static <T> Collector<T,?,Integer> summingInt(ToIntFunction<? super T> mapper)
Collector
that produces the sum of an integer-valued function applied to the input elements. If no elements are present, the result is 0.T
- the type of the input elementsmapper
- a function extracting the property to be summedCollector
that produces the sum of a derived propertypublic static <T> Collector<T,?,Long> summingLong(ToLongFunction<? super T> mapper)
Collector
that produces the sum of a long-valued function applied to the input elements. If no elements are present, the result is 0.T
- the type of the input elementsmapper
- a function extracting the property to be summedCollector
that produces the sum of a derived propertypublic static <T> Collector<T,?,Double> summingDouble(ToDoubleFunction<? super T> mapper)
Collector
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 a NaN
then the sum will be NaN
.
T
- the type of the input elementsmapper
- a function extracting the property to be summedCollector
that produces the sum of a derived propertypublic static <T> Collector<T,?,Double> averagingInt(ToIntFunction<? super T> mapper)
Collector
that produces the arithmetic mean of an integer-valued function applied to the input elements. If no elements are present, the result is 0.T
- the type of the input elementsmapper
- a function extracting the property to be averagedCollector
that produces the arithmetic mean of a derived propertypublic static <T> Collector<T,?,Double> averagingLong(ToLongFunction<? super T> mapper)
Collector
that produces the arithmetic mean of a long-valued function applied to the input elements. If no elements are present, the result is 0.T
- the type of the input elementsmapper
- a function extracting the property to be averagedCollector
that produces the arithmetic mean of a derived propertypublic static <T> Collector<T,?,Double> averagingDouble(ToDoubleFunction<? super T> mapper)
Collector
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 a NaN
then the average will be NaN
.
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.T
- the type of the input elementsmapper
- a function extracting the property to be averagedCollector
that produces the arithmetic mean of a derived propertypublic static <T> Collector<T,?,T> reducing(T identity, BinaryOperator<T> op)
Collector
which performs a reduction of its input elements under a specified BinaryOperator
using the provided identity.reducing()
collectors are most useful when used in a multi-level reduction, downstream of groupingBy
or partitioningBy
. To perform a simple reduction on a stream, use Stream.reduce(Object, BinaryOperator)
} instead.T
- element type for the input and output of the reductionidentity
- the identity value for the reduction (also, the value that is returned when there are no input elements)op
- a BinaryOperator<T>
used to reduce the input elementsCollector
which implements the reduction operationpublic static <T> Collector<T,?,Optional<T>> reducing(BinaryOperator<T> op)
Collector
which performs a reduction of its input elements under a specified BinaryOperator
. The result is described as an Optional<T>
.reducing()
collectors are most useful when used in a multi-level reduction, downstream of groupingBy
or partitioningBy
. To perform a simple reduction on a stream, use Stream.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))));
T
- element type for the input and output of the reductionop
- a BinaryOperator<T>
used to reduce the input elementsCollector
which implements the reduction operationpublic static <T, U> Collector<T,?,U> reducing(U identity, Function<? super T,? extends U> mapper, BinaryOperator<U> op)
Collector
which performs a reduction of its input elements under a specified mapping function and BinaryOperator
. This is a generalization of reducing(Object, BinaryOperator)
which allows a transformation of the elements before reduction.reducing()
collectors are most useful when used in a multi-level reduction, downstream of groupingBy
or partitioningBy
. To perform a simple map-reduce on a stream, use Stream.map(Function)
and Stream.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))));
T
- the type of the input elementsU
- the type of the mapped valuesidentity
- 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
- a BinaryOperator<U>
used to reduce the mapped valuesCollector
implementing the map-reduce operationpublic static <T, K> Collector<T,?,Map<K,List<T>>> groupingBy(Function<? super T,? extends K> classifier)
Collector
implementing a "group by" operation on input elements of type T
, grouping elements according to a classification function, and returning the results in a Map
. The classification function maps elements to some key type K
. The collector produces a Map<K, List<T>>
whose keys are the values resulting from applying the classification function to the input elements, and whose corresponding values are List
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
or List
objects returned.
groupingBy(classifier, toList());
Collector
is not concurrent. For parallel stream pipelines, the combiner
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 resulting Map
collector is not required, using groupingByConcurrent(Function)
may offer better parallel performance.T
- the type of the input elementsK
- the type of the keysclassifier
- the classifier function mapping input elements to keysCollector
implementing the group-by operationpublic static <T, K, A, D> Collector<T,?,Map<K,D>> groupingBy(Function<? super T,? extends K> classifier, Collector<? super T,A,D> downstream)
Collector
implementing a cascaded "group by" operation on input elements of type T
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstream Collector
. The classification function maps elements to some key type K
. The downstream collector operates on elements of type T
and produces a result of type D
. The resulting collector produces a Map<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())));
Collector
is not concurrent. For parallel stream pipelines, the combiner
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, using groupingByConcurrent(Function, Collector)
may offer better parallel performance.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 reductionclassifier
- a classifier function mapping input elements to keysdownstream
- a Collector
implementing the downstream reductionCollector
implementing the cascaded group-by operationpublic static <T, K, D, A, M extends Map<K, D>> Collector<T,?,M> groupingBy(Function<? super T,? extends K> classifier, Supplier<M> mapFactory, Collector<? super T,A,D> downstream)
Collector
implementing a cascaded "group by" operation on input elements of type T
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstream Collector
. The Map
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 type T
and produces a result of type D
. The resulting collector produces a Map<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())));
Collector
is not concurrent. For parallel stream pipelines, the combiner
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, using groupingByConcurrent(Function, Supplier, Collector)
may offer better parallel performance.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 resulting Map
classifier
- a classifier function mapping input elements to keysmapFactory
- a supplier providing a new empty Map
into which the results will be inserteddownstream
- a Collector
implementing the downstream reductionCollector
implementing the cascaded group-by operationpublic static <T, K> Collector<T,?,ConcurrentMap<K,List<T>>> groupingByConcurrent(Function<? super T,? extends K> classifier)
Collector
implementing a "group by" operation on input elements of type T
, grouping elements according to a classification function. This is a concurrent
and unordered
Collector.
The classification function maps elements to some key type K
. The collector produces a ConcurrentMap<K, List<T>>
whose keys are the values resulting from applying the classification function to the input elements, and whose corresponding values are List
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
or List
objects returned, or of the thread-safety of the List
objects returned.
groupingByConcurrent(classifier, toList());
T
- the type of the input elementsK
- the type of the keysclassifier
- a classifier function mapping input elements to keysCollector
implementing the group-by operationpublic static <T, K, A, D> Collector<T,?,ConcurrentMap<K,D>> groupingByConcurrent(Function<? super T,? extends K> classifier, Collector<? super T,A,D> downstream)
Collector
implementing a cascaded "group by" operation on input elements of type T
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstream Collector
. This is a concurrent
and unordered
Collector.
The classification function maps elements to some key type K
. The downstream collector operates on elements of type T
and produces a result of type D
. The resulting collector produces a ConcurrentMap<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())));
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 reductionclassifier
- a classifier function mapping input elements to keysdownstream
- a Collector
implementing the downstream reductionCollector
implementing the cascaded group-by operationpublic 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)
Collector
implementing a cascaded "group by" operation on input elements of type T
, grouping elements according to a classification function, and then performing a reduction operation on the values associated with a given key using the specified downstream Collector
. The ConcurrentMap
produced by the Collector is created with the supplied factory function. This is a concurrent
and unordered
Collector.
The classification function maps elements to some key type K
. The downstream collector operates on elements of type T
and produces a result of type D
. The resulting collector produces a ConcurrentMap<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())));
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 resulting ConcurrentMap
classifier
- a classifier function mapping input elements to keysmapFactory
- a supplier providing a new empty ConcurrentMap
into which the results will be inserteddownstream
- a Collector
implementing the downstream reductionCollector
implementing the cascaded group-by operationpublic static <T> Collector<T,?,Map<Boolean,List<T>>> partitioningBy(Predicate<? super T> predicate)
Collector
which partitions the input elements according to a Predicate
, and organizes them into a Map<Boolean, List<T>>
. The returned Map
always contains mappings for both false
and true
keys. There are no guarantees on the type, mutability, serializability, or thread-safety of the Map
or List
returned.T
- the type of the input elementspredicate
- a predicate used for classifying input elementsCollector
implementing the partitioning operationpublic static <T, D, A> Collector<T,?,Map<Boolean,D>> partitioningBy(Predicate<? super T> predicate, Collector<? super T,A,D> downstream)
Collector
which partitions the input elements according to a Predicate
, reduces the values in each partition according to another Collector
, and organizes them into a Map<Boolean, D>
whose values are the result of the downstream reduction. The returned Map
always contains mappings for both false
and true
keys. There are no guarantees on the type, mutability, serializability, or thread-safety of the Map
returned.
T
- the type of the input elementsD
- the result type of the downstream reductionA
- the intermediate accumulation type of the downstream collectorpredicate
- a predicate used for classifying input elementsdownstream
- a Collector
implementing the downstream reductionCollector
implementing the cascaded partitioning operationpublic static <T, K, U> Collector<T,?,Map<K,U>> toMap(Function<? super T,? extends K> keyMapper, Function<? super T,? extends U> valueMapper)
Collector
that accumulates elements into a 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)
), an IllegalStateException
is thrown when the collection operation is performed. If the mapped keys might have duplicates, use toMap(Function, Function, BinaryOperator)
instead.
There are no guarantees on the type, mutability, serializability, or thread-safety of the Map
returned.
Function.identity()
may be helpful. For example, the following produces a Map
mapping students to their grade point average:
Map<Student, Double> studentToGPA
= students.stream().collect(
toMap(Function.identity(),
student -> computeGPA(student)));
And the following produces a Map
mapping a unique identifier to students:
Map<String, Student> studentIdToStudent
= students.stream().collect(
toMap(Student::getId,
Function.identity()));
Collector
is not concurrent. For parallel stream pipelines, the combiner
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 the Map
in encounter order, using toConcurrentMap(Function, Function)
may offer better parallel performance.T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping functionkeyMapper
- a mapping function to produce keysvalueMapper
- a mapping function to produce valuesCollector
which collects elements into a Map
whose keys and values are the result of applying mapping functions to the input elementspublic static <T, K, U> Collector<T,?,Map<K,U>> toUnmodifiableMap(Function<? super T,? extends K> keyMapper, Function<? super T,? extends U> valueMapper)
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. If the mapped keys contain duplicates (according to Object.equals(Object)
), an IllegalStateException
is thrown when the collection operation is performed. If the mapped keys might have duplicates, use toUnmodifiableMap(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.
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping functionkeyMapper
- a mapping function to produce keys, must be non-nullvalueMapper
- a mapping function to produce values, must be non-nullCollector
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 elementsNullPointerException
- if either keyMapper or valueMapper is nullpublic static <T, K, U> Collector<T,?,Map<K,U>> toMap(Function<? super T,? extends K> keyMapper, Function<? super T,? extends U> valueMapper, BinaryOperator<U> mergeFunction)
Collector
that accumulates elements into a 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.
There are no guarantees on the type, mutability, serializability, or thread-safety of the Map
returned.
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 of Person
, 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 a Map
mapping names to a concatenated list of addresses:
Map<String, String> phoneBook
= people.stream().collect(
toMap(Person::getName,
Person::getAddress,
(s, a) -> s + ", " + a));
Collector
is not concurrent. For parallel stream pipelines, the combiner
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 the Map
in encounter order, using toConcurrentMap(Function, Function, BinaryOperator)
may offer better parallel performance.T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping functionkeyMapper
- 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 to Map.merge(Object, Object, BiFunction)
Collector
which collects elements into a Map
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 functionpublic static <T, K, U> Collector<T,?,Map<K,U>> toUnmodifiableMap(Function<? super T,? extends K> keyMapper, Function<? super T,? extends U> valueMapper, BinaryOperator<U> mergeFunction)
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. 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.
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping functionkeyMapper
- 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 to Map.merge(Object, Object, BiFunction)
, must be non-nullCollector
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 elementsNullPointerException
- if the keyMapper, valueMapper, or mergeFunction is nullpublic static <T, K, U, M extends Map<K, U>> Collector<T,?,M> toMap(Function<? super T,? extends K> keyMapper, Function<? super T,? extends U> valueMapper, BinaryOperator<U> mergeFunction, Supplier<M> mapFactory)
Collector
that accumulates elements into a 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 Map
is created by a provided supplier function.
Collector
is not concurrent. For parallel stream pipelines, the combiner
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 the Map
in encounter order, using toConcurrentMap(Function, Function, BinaryOperator, Supplier)
may offer better parallel performance.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 resulting Map
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 to Map.merge(Object, Object, BiFunction)
mapFactory
- a supplier providing a new empty Map
into which the results will be insertedCollector
which collects elements into a Map
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 functionpublic static <T, K, U> Collector<T,?,ConcurrentMap<K,U>> toConcurrentMap(Function<? super T,? extends K> keyMapper, Function<? super T,? extends U> valueMapper)
Collector
that accumulates elements into a ConcurrentMap
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)
), an IllegalStateException
is thrown when the collection operation is performed. If the mapped keys may have duplicates, use toConcurrentMap(Function, Function, BinaryOperator)
instead.
There are no guarantees on the type, mutability, or serializability of the ConcurrentMap
returned.
Function.identity()
may be helpful. For example, the following produces a ConcurrentMap
mapping students to their grade point average:
ConcurrentMap<Student, Double> studentToGPA
= students.stream().collect(
toConcurrentMap(Function.identity(),
student -> computeGPA(student)));
And the following produces a ConcurrentMap
mapping a unique identifier to students:
ConcurrentMap<String, Student> studentIdToStudent
= students.stream().collect(
toConcurrentMap(Student::getId,
Function.identity()));
This is a concurrent
and unordered
Collector.
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping functionkeyMapper
- the mapping function to produce keysvalueMapper
- the mapping function to produce valuesCollector
which collects elements into a ConcurrentMap
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 elementspublic 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)
Collector
that accumulates elements into a ConcurrentMap
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.
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 of Person
, 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 a ConcurrentMap
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
and unordered
Collector.
T
- the type of the input elementsK
- the output type of the key mapping functionU
- the output type of the value mapping functionkeyMapper
- 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 to Map.merge(Object, Object, BiFunction)
Collector
which collects elements into a ConcurrentMap
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 functionpublic 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)
Collector
that accumulates elements into a ConcurrentMap
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 ConcurrentMap
is created by a provided supplier function.
This is a concurrent
and unordered
Collector.
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 resulting ConcurrentMap
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 to Map.merge(Object, Object, BiFunction)
mapFactory
- a supplier providing a new empty ConcurrentMap
into which the results will be insertedCollector
which collects elements into a ConcurrentMap
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 functionpublic static <T> Collector<T,?,IntSummaryStatistics> summarizingInt(ToIntFunction<? super T> mapper)
Collector
which applies an int
-producing mapping function to each input element, and returns summary statistics for the resulting values.T
- the type of the input elementsmapper
- a mapping function to apply to each elementCollector
implementing the summary-statistics reductionpublic static <T> Collector<T,?,LongSummaryStatistics> summarizingLong(ToLongFunction<? super T> mapper)
Collector
which applies an long
-producing mapping function to each input element, and returns summary statistics for the resulting values.T
- the type of the input elementsmapper
- the mapping function to apply to each elementCollector
implementing the summary-statistics reductionpublic static <T> Collector<T,?,DoubleSummaryStatistics> summarizingDouble(ToDoubleFunction<? super T> mapper)
Collector
which applies an double
-producing mapping function to each input element, and returns summary statistics for the resulting values.T
- the type of the input elementsmapper
- a mapping function to apply to each elementCollector
implementing the summary-statistics reductionpublic 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)
Collector
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:
The resulting collector is Collector.Characteristics.UNORDERED
if both downstream collectors are unordered and Collector.Characteristics.CONCURRENT
if both downstream collectors are concurrent.
T
- the type of the input elementsR1
- the result type of the first collectorR2
- the result type of the second collectorR
- the final result typedownstream1
- the first downstream collectordownstream2
- the second downstream collectormerger
- the function which merges two results into the single oneCollector
which aggregates the results of two supplied collectors.
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Licensed under the GNU General Public License, version 2, with the Classpath Exception.
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https://docs.oracle.com/en/java/javase/21/docs/api/java.base/java/util/stream/Collectors.html