Uses of Class
io.datakernel.cube.ot.CubeDiff

Packages that use CubeDiff

Package	Description
io.datakernel.cube
io.datakernel.cube.ot
io.datakernel.cube.service

Uses of CubeDiff in io.datakernel.cube

Methods in io.datakernel.cube that return types with arguments of type CubeDiff

Modifier and Type	Method and Description
io.datakernel.promise.Promise<CubeDiff>	Cube.consolidate(Function<Aggregation,io.datakernel.promise.Promise<AggregationDiff>> strategy)
<T> io.datakernel.datastream.StreamConsumerWithResult<T,CubeDiff>	Cube.consume(Class<T> inputClass)
<T> io.datakernel.datastream.StreamConsumerWithResult<T,CubeDiff>	Cube.consume(Class<T> inputClass, AggregationPredicate predicate)
<T> io.datakernel.datastream.StreamConsumerWithResult<T,CubeDiff>	Cube.consume(Class<T> inputClass, Map<String,String> dimensionFields, Map<String,String> measureFields, AggregationPredicate dataPredicate) Provides a StreamConsumer for streaming data to this cube.
<T> LogDataConsumer<T,CubeDiff>	Cube.logStreamConsumer(Class<T> inputClass)
<T> LogDataConsumer<T,CubeDiff>	Cube.logStreamConsumer(Class<T> inputClass, AggregationPredicate predicate)
<T> LogDataConsumer<T,CubeDiff>	Cube.logStreamConsumer(Class<T> inputClass, Map<String,String> dimensionFields, Map<String,String> measureFields)
<T> LogDataConsumer<T,CubeDiff>	Cube.logStreamConsumer(Class<T> inputClass, Map<String,String> dimensionFields, Map<String,String> measureFields, AggregationPredicate predicate)
static CubeDiffScheme<CubeDiff>	CubeDiffScheme.ofCubeDiffs()
static CubeDiffScheme<LogDiff<CubeDiff>>	CubeDiffScheme.ofLogDiffs()
default List<CubeDiff>	CubeDiffScheme.unwrap(D diff)
default Stream<CubeDiff>	CubeDiffScheme.unwrapToStream(D diff)

Methods in io.datakernel.cube with parameters of type CubeDiff

Modifier and Type	Method and Description
void	Cube.apply(CubeDiff op)
D	CubeDiffScheme.wrap(CubeDiff cubeDiff)

Uses of CubeDiff in io.datakernel.cube.ot

Methods in io.datakernel.cube.ot that return CubeDiff

Modifier and Type	Method and Description
CubeDiff	CubeDiffCodec.decode(io.datakernel.codec.StructuredInput in)
static CubeDiff	CubeDiff.empty()
CubeDiff	CubeDiff.inverse()
static CubeDiff	CubeDiff.of(Map<String,AggregationDiff> aggregationOps)

Methods in io.datakernel.cube.ot that return types with arguments of type CubeDiff

Modifier and Type	Method and Description
static io.datakernel.ot.OTSystem<CubeDiff>	CubeOT.createCubeOT()

Methods in io.datakernel.cube.ot with parameters of type CubeDiff

Modifier and Type	Method and Description
void	CubeDiffCodec.encode(io.datakernel.codec.StructuredOutput out, CubeDiff cubeDiff)

Uses of CubeDiff in io.datakernel.cube.service

Method parameters in io.datakernel.cube.service with type arguments of type CubeDiff

Modifier and Type	Method and Description
static <K,C> CubeLogProcessorController<K,C>	CubeLogProcessorController.create(io.datakernel.eventloop.Eventloop eventloop, LogOTState<CubeDiff> state, io.datakernel.ot.OTStateManager<K,LogDiff<CubeDiff>> stateManager, AggregationChunkStorage<C> chunkStorage, List<LogOTProcessor<?,CubeDiff>> logProcessors)
static <K,C> CubeLogProcessorController<K,C>	CubeLogProcessorController.create(io.datakernel.eventloop.Eventloop eventloop, LogOTState<CubeDiff> state, io.datakernel.ot.OTStateManager<K,LogDiff<CubeDiff>> stateManager, AggregationChunkStorage<C> chunkStorage, List<LogOTProcessor<?,CubeDiff>> logProcessors)
static <K,C> CubeLogProcessorController<K,C>	CubeLogProcessorController.create(io.datakernel.eventloop.Eventloop eventloop, LogOTState<CubeDiff> state, io.datakernel.ot.OTStateManager<K,LogDiff<CubeDiff>> stateManager, AggregationChunkStorage<C> chunkStorage, List<LogOTProcessor<?,CubeDiff>> logProcessors)