Package | Description |
---|---|
org.infinispan |
This is the core of Infinispan, a distributed, transactional, highly scalable data grid
platform.
|
Modifier and Type | Method and Description |
---|---|
IntCacheStream |
IntCacheStream.distinct() |
IntCacheStream |
IntCacheStream.filter(IntPredicate predicate) |
default IntCacheStream |
IntCacheStream.filter(SerializableIntPredicate predicate)
Same as
filter(IntPredicate) except that the IntPredicate must also
implement Serializable |
IntCacheStream |
IntCacheStream.flatMap(IntFunction<? extends IntStream> mapper) |
default IntCacheStream |
IntCacheStream.flatMap(SerializableIntFunction<? extends IntStream> mapper)
Same as
flatMap(IntFunction) except that the IntFunction must also
implement Serializable |
IntCacheStream |
CacheStream.flatMapToInt(Function<? super R,? extends IntStream> mapper) |
default IntCacheStream |
CacheStream.flatMapToInt(SerializableFunction<? super R,? extends IntStream> mapper)
Same as
CacheStream.flatMapToInt(Function) except that the Function must also
implement Serializable |
IntCacheStream |
IntCacheStream.limit(long maxSize) |
IntCacheStream |
IntCacheStream.map(IntUnaryOperator mapper) |
default IntCacheStream |
IntCacheStream.map(SerializableIntUnaryOperator mapper)
Same as
map(IntUnaryOperator) except that the IntUnaryOperator must also
implement Serializable |
IntCacheStream |
DoubleCacheStream.mapToInt(DoubleToIntFunction mapper) |
IntCacheStream |
LongCacheStream.mapToInt(LongToIntFunction mapper) |
default IntCacheStream |
DoubleCacheStream.mapToInt(SerializableDoubleToIntFunction mapper)
Same as
DoubleCacheStream.mapToInt(DoubleToIntFunction) except that the DoubleToIntFunction must also
implement Serializable |
default IntCacheStream |
LongCacheStream.mapToInt(SerializableLongToIntFunction mapper)
Same as
LongCacheStream.mapToInt(LongToIntFunction) except that the LongToIntFunction must also
implement Serializable. |
default IntCacheStream |
CacheStream.mapToInt(SerializableToIntFunction<? super R> mapper)
Same as
CacheStream.mapToInt(ToIntFunction) except that the ToIntFunction must also
implement Serializable |
IntCacheStream |
CacheStream.mapToInt(ToIntFunction<? super R> mapper) |
IntCacheStream |
IntCacheStream.onClose(Runnable closeHandler) |
IntCacheStream |
IntCacheStream.parallel() |
IntCacheStream |
IntCacheStream.peek(IntConsumer action) |
default IntCacheStream |
IntCacheStream.peek(SerializableIntConsumer action)
Same as
flatMap(IntFunction) except that the IntFunction must also
implement Serializable |
IntCacheStream |
IntCacheStream.sequential() |
IntCacheStream |
IntCacheStream.skip(long n) |
IntCacheStream |
IntCacheStream.sorted() |
IntCacheStream |
IntCacheStream.unordered() |
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