Uses of Interface
org.apache.ignite.IgniteCache

Packages that use IgniteCache

Package	Description
org.apache.ignite	Contains entry-point Ignite & HPC APIs.
org.apache.ignite.ml.dataset	Base package for machine learning dataset classes.
org.apache.ignite.ml.dataset.impl.cache	Base package for cache based implementation of machine learning dataset.
org.apache.ignite.ml.inference.storage.descriptor	Root package for inference model descriptor storages.
org.apache.ignite.ml.inference.storage.model	Root package for inference model storages.
org.apache.ignite.ml.pipeline	Contains Pipeline API.
org.apache.ignite.ml.preprocessing	Base package for machine learning preprocessing classes.
org.apache.ignite.ml.selection.cv	Root package for cross-validation algorithms.
org.apache.ignite.ml.selection.scoring.cursor	Util classes used for score calculation.
org.apache.ignite.ml.selection.scoring.evaluator	Package for model evaluator classes.
org.apache.ignite.ml.trainers	Contains model trainers.
org.apache.ignite.ml.util	Contains some utils for ML module.
org.apache.ignite.ml.util.generators	Contains utility classes for data streams generation.
org.apache.ignite.springdata.proxy	Contains classes that provide client-independent access to the Ignite operations required by Spring Data.
org.apache.ignite.springdata22.repository	Package contains Apache Ignite Spring Data integration.
org.apache.ignite.springdata22.repository.support	Package contains supporting files required by Spring Data framework.
org.apache.ignite.stream	Contains Ignite Streamer classes.
org.gridgain.grid	Contains base API classes.

Uses of IgniteCache in org.apache.ignite

Methods in org.apache.ignite that return IgniteCache

Modifier and Type	Method and Description
<K,V> IgniteCache<K,V>	IgniteSpringBean.cache(@Nullable String name) Gets an instance of IgniteCache API for the given name if one is configured or null otherwise.
<K,V> IgniteCache<K,V>	Ignite.cache(String name) Gets an instance of IgniteCache API for the given name if one is configured or null otherwise.
<K,V> IgniteCache<K,V>	IgniteSpringBean.createCache(CacheConfiguration<K,V> cacheCfg) Dynamically starts new cache with the given cache configuration.
<K,V> IgniteCache<K,V>	Ignite.createCache(CacheConfiguration<K,V> cacheCfg) Dynamically starts new cache with the given cache configuration.
<K,V> IgniteCache<K,V>	IgniteSpringBean.createCache(CacheConfiguration<K,V> cacheCfg, NearCacheConfiguration<K,V> nearCfg) Dynamically starts new cache with the given cache configuration.
<K,V> IgniteCache<K,V>	Ignite.createCache(CacheConfiguration<K,V> cacheCfg, NearCacheConfiguration<K,V> nearCfg) Dynamically starts new cache with the given cache configuration.
<K,V> IgniteCache<K,V>	IgniteSpringBean.createCache(String cacheName) Dynamically starts new cache using template configuration.
<K,V> IgniteCache<K,V>	Ignite.createCache(String cacheName) Dynamically starts new cache using template configuration.
<K,V> IgniteCache<K,V>	IgniteSpringBean.createNearCache(String cacheName, NearCacheConfiguration<K,V> nearCfg) Starts a near cache on local node if cache was previously started with one of the Ignite.createCache(CacheConfiguration) or Ignite.createCache(CacheConfiguration, NearCacheConfiguration) methods.
<K,V> IgniteCache<K,V>	Ignite.createNearCache(String cacheName, NearCacheConfiguration<K,V> nearCfg) Starts a near cache on local node if cache was previously started with one of the Ignite.createCache(CacheConfiguration) or Ignite.createCache(CacheConfiguration, NearCacheConfiguration) methods.
<K,V> IgniteCache<K,V>	IgniteSpringBean.getOrCreateCache(CacheConfiguration<K,V> cacheCfg) Gets existing cache with the given name or creates new one with the given configuration.
<K,V> IgniteCache<K,V>	Ignite.getOrCreateCache(CacheConfiguration<K,V> cacheCfg) Gets existing cache with the given name or creates new one with the given configuration.
<K,V> IgniteCache<K,V>	IgniteSpringBean.getOrCreateCache(CacheConfiguration<K,V> cacheCfg, NearCacheConfiguration<K,V> nearCfg) Gets existing cache with the given cache configuration or creates one if it does not exist.
<K,V> IgniteCache<K,V>	Ignite.getOrCreateCache(CacheConfiguration<K,V> cacheCfg, NearCacheConfiguration<K,V> nearCfg) Gets existing cache with the given cache configuration or creates one if it does not exist.
<K,V> IgniteCache<K,V>	IgniteSpringBean.getOrCreateCache(String cacheName) Gets existing cache with the given name or creates new one using template configuration.
<K,V> IgniteCache<K,V>	Ignite.getOrCreateCache(String cacheName) Gets existing cache with the given name or creates new one using template configuration.
<K,V> IgniteCache<K,V>	IgniteSpringBean.getOrCreateNearCache(@Nullable String cacheName, NearCacheConfiguration<K,V> nearCfg) Gets existing near cache with the given name or creates a new one.
<K,V> IgniteCache<K,V>	Ignite.getOrCreateNearCache(String cacheName, NearCacheConfiguration<K,V> nearCfg) Gets existing near cache with the given name or creates a new one.
<K1,V1> IgniteCache<K1,V1>	IgniteCache.withAllowAtomicOpsInTx() If you want to use atomic operations inside transactions you should allow it before transaction start.
IgniteCache<K,V>	IgniteCache.withAsync() Deprecated.
IgniteCache<K,V>	IgniteCache.withExpiryPolicy(javax.cache.expiry.ExpiryPolicy plc) Returns cache with the specified expired policy set.
<K1,V1> IgniteCache<K1,V1>	IgniteCache.withKeepBinary() Returns cache that will operate with binary objects.
IgniteCache<K,V>	IgniteCache.withNoRetries()
IgniteCache<K,V>	IgniteCache.withPartitionRecover() Gets an instance of IgniteCache that will be allowed to execute cache read operations regardless of partition loss policy.
IgniteCache<K,V>	IgniteCache.withSkipStore()

Methods in org.apache.ignite that return types with arguments of type IgniteCache

Modifier and Type	Method and Description
Collection<IgniteCache>	IgniteSpringBean.createCaches(Collection<CacheConfiguration> cacheCfgs) Dynamically starts new caches with the given cache configurations.
Collection<IgniteCache>	Ignite.createCaches(Collection<CacheConfiguration> cacheCfgs) Dynamically starts new caches with the given cache configurations.
Collection<IgniteCache>	IgniteSpringBean.getOrCreateCaches(Collection<CacheConfiguration> cacheCfgs) Gets existing caches with the given name or created one with the given configuration.
Collection<IgniteCache>	Ignite.getOrCreateCaches(Collection<CacheConfiguration> cacheCfgs) Gets existing caches with the given name or created one with the given configuration.

Uses of IgniteCache in org.apache.ignite.ml.dataset

Methods in org.apache.ignite.ml.dataset with parameters of type IgniteCache

Modifier and Type	Method and Description
static <K,V,C extends Serializable,D extends AutoCloseable> Dataset<C,D>	DatasetFactory.create(Ignite ignite, IgniteCache<K,V> upstreamCache, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder, LearningEnvironment environment) Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
static <K,V,C extends Serializable,D extends AutoCloseable> Dataset<C,D>	DatasetFactory.create(Ignite ignite, IgniteCache<K,V> upstreamCache, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder) Creates a new instance of distributed dataset using the specified partCtxBuilder and partDataBuilder.
static <K,V,C extends Serializable,CO extends Serializable> SimpleDataset<C>	DatasetFactory.createSimpleDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, Preprocessor<K,V> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified partCtxBuilder and featureExtractor.
static <K,V,CO extends Serializable> SimpleDataset<EmptyContext>	DatasetFactory.createSimpleDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, LearningEnvironmentBuilder envBuilder, Preprocessor<K,V> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified featureExtractor.
static <K,V,CO extends Serializable> SimpleDataset<EmptyContext>	DatasetFactory.createSimpleDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, Preprocessor<K,V> featureExtractor) Creates a new instance of distributed SimpleDataset using the specified featureExtractor.
static <K,V,C extends Serializable,CO extends Serializable> SimpleLabeledDataset<C>	DatasetFactory.createSimpleLabeledDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, Preprocessor<K,V> vectorizer) Creates a new instance of distributed SimpleLabeledDataset using the specified partCtxBuilder, featureExtractor and lbExtractor.
static <K,V,CO extends Serializable> SimpleLabeledDataset<EmptyContext>	DatasetFactory.createSimpleLabeledDataset(Ignite ignite, LearningEnvironmentBuilder envBuilder, IgniteCache<K,V> upstreamCache, Preprocessor<K,V> vectorizer) Creates a new instance of distributed SimpleLabeledDataset using the specified featureExtractor and lbExtractor.

Uses of IgniteCache in org.apache.ignite.ml.dataset.impl.cache

Methods in org.apache.ignite.ml.dataset.impl.cache that return IgniteCache

Modifier and Type	Method and Description
IgniteCache<Integer,C>	CacheBasedDataset.getDatasetCache()
IgniteCache<K,V>	CacheBasedDataset.getUpstreamCache()

Constructors in org.apache.ignite.ml.dataset.impl.cache with parameters of type IgniteCache

Constructor and Description
CacheBasedDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiPredicate<K,V> filter, UpstreamTransformerBuilder upstreamTransformerBuilder, IgniteCache<Integer,C> datasetCache, LearningEnvironmentBuilder envBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder, UUID datasetId, boolean upstreamKeepBinary, LearningEnvironment localLearningEnv, int retriesCnt) Constructs a new instance of dataset based on Ignite Cache, which is used as upstream and as reliable storage for partition context as well.
CacheBasedDataset(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiPredicate<K,V> filter, UpstreamTransformerBuilder upstreamTransformerBuilder, IgniteCache<Integer,C> datasetCache, LearningEnvironmentBuilder envBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder, UUID datasetId, boolean upstreamKeepBinary, LearningEnvironment localLearningEnv, int retriesCnt) Constructs a new instance of dataset based on Ignite Cache, which is used as upstream and as reliable storage for partition context as well.
CacheBasedDatasetBuilder(Ignite ignite, IgniteCache<K,V> upstreamCache) Constructs a new instance of cache based dataset builder that makes CacheBasedDataset with default predicate that passes all upstream entries to dataset.
CacheBasedDatasetBuilder(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiPredicate<K,V> filter) Constructs a new instance of cache based dataset builder that makes CacheBasedDataset.
CacheBasedDatasetBuilder(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiPredicate<K,V> filter, UpstreamTransformerBuilder transformerBuilder) Constructs a new instance of cache based dataset builder that makes CacheBasedDataset.
CacheBasedDatasetBuilder(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiPredicate<K,V> filter, UpstreamTransformerBuilder transformerBuilder, Boolean isKeepBinary, int retries) Constructs a new instance of cache based dataset builder that makes CacheBasedDataset.

Uses of IgniteCache in org.apache.ignite.ml.inference.storage.descriptor

Constructors in org.apache.ignite.ml.inference.storage.descriptor with parameters of type IgniteCache

Constructor and Description
IgniteModelDescriptorStorage(IgniteCache<String,ModelDescriptor> models) Constructs a new instance of Ignite model descriptor storage.

Uses of IgniteCache in org.apache.ignite.ml.inference.storage.model

Constructors in org.apache.ignite.ml.inference.storage.model with parameters of type IgniteCache

Constructor and Description
IgniteModelStorageProvider(IgniteCache<String,FileOrDirectory> cache) Constructs a new instance of Ignite model storage provider.

Uses of IgniteCache in org.apache.ignite.ml.pipeline

Methods in org.apache.ignite.ml.pipeline with parameters of type IgniteCache

Modifier and Type	Method and Description
PipelineMdl<K,V>	Pipeline.fit(Ignite ignite, IgniteCache<K,V> cache) Fits the pipeline to the input cache.

Uses of IgniteCache in org.apache.ignite.ml.preprocessing

Methods in org.apache.ignite.ml.preprocessing with parameters of type IgniteCache

Modifier and Type	Method and Description
default Preprocessor<K,V>	PreprocessingTrainer.fit(Ignite ignite, IgniteCache<K,V> cache, Preprocessor<K,V> basePreprocessor) Fits preprocessor.
default Preprocessor<K,V>	PreprocessingTrainer.fit(LearningEnvironmentBuilder envBuilder, Ignite ignite, IgniteCache<K,V> cache, Preprocessor<K,V> basePreprocessor) Fits preprocessor.

Uses of IgniteCache in org.apache.ignite.ml.selection.cv

Methods in org.apache.ignite.ml.selection.cv with parameters of type IgniteCache

Modifier and Type	Method and Description
CrossValidation<M,L,K,V>	CrossValidation.withUpstreamCache(IgniteCache<K,V> upstreamCache)

Uses of IgniteCache in org.apache.ignite.ml.selection.scoring.cursor

Constructors in org.apache.ignite.ml.selection.scoring.cursor with parameters of type IgniteCache

Constructor and Description
CacheBasedLabelPairCursor(IgniteCache<K,V> upstreamCache, IgniteBiPredicate<K,V> filter, Preprocessor<K,V> preprocessor, IgniteModel<Vector,L> mdl) Constructs a new instance of cache based truth with prediction cursor.
CacheBasedLabelPairCursor(IgniteCache<K,V> upstreamCache, Preprocessor<K,V> preprocessor, IgniteModel<Vector,L> mdl) Constructs a new instance of cache based truth with prediction cursor.

Uses of IgniteCache in org.apache.ignite.ml.selection.scoring.evaluator

Methods in org.apache.ignite.ml.selection.scoring.evaluator with parameters of type IgniteCache

Modifier and Type	Method and Description
static <K,V> BinaryClassificationMetricValues	Evaluator.evaluate(IgniteCache<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor) Computes the given metrics on the given cache.
static <L,K,V> double	Evaluator.evaluate(IgniteCache<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,L> mdl, Preprocessor<K,V> preprocessor, Metric<L> metric) Computes the given metric on the given cache.
static <K,V> BinaryClassificationMetricValues	Evaluator.evaluate(IgniteCache<K,V> dataCache, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor) Computes the given metrics on the given cache.
static <L,K,V> double	Evaluator.evaluate(IgniteCache<K,V> dataCache, IgniteModel<Vector,L> mdl, Preprocessor<K,V> preprocessor, Metric<L> metric) Computes the given metric on the given cache.
static <K,V> RegressionMetricValues	Evaluator.evaluateRegression(IgniteCache<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor) Computes the regression metrics on the given cache.

Uses of IgniteCache in org.apache.ignite.ml.trainers

Methods in org.apache.ignite.ml.trainers with parameters of type IgniteCache

Modifier and Type	Method and Description
<K,V> M	DatasetTrainer.fit(Ignite ignite, IgniteCache<K,V> cache, IgniteBiPredicate<K,V> filter, Preprocessor<K,V> preprocessor) Trains model based on the specified data.
<K,V> M	DatasetTrainer.fit(Ignite ignite, IgniteCache<K,V> cache, Preprocessor<K,V> preprocessor) Trains model based on the specified data.
<K,V> M	DatasetTrainer.update(M mdl, Ignite ignite, IgniteCache<K,V> cache, IgniteBiPredicate<K,V> filter, Preprocessor<K,V> preprocessor) Gets state of model in arguments, update in according to new data and return new model.
<K,V> M	DatasetTrainer.update(M mdl, Ignite ignite, IgniteCache<K,V> cache, Preprocessor<K,V> preprocessor) Gets state of model in arguments, update in according to new data and return new model.

Uses of IgniteCache in org.apache.ignite.ml.util

Methods in org.apache.ignite.ml.util that return IgniteCache

Modifier and Type	Method and Description
IgniteCache<Integer,double[]>	SandboxMLCache.fillCacheWith(double[][] data) Fills cache with data and returns it.
IgniteCache<Integer,Vector>	SandboxMLCache.fillCacheWith(MLSandboxDatasets dataset) Fills cache with data and returns it.

Uses of IgniteCache in org.apache.ignite.ml.util.generators

Methods in org.apache.ignite.ml.util.generators with parameters of type IgniteCache

Modifier and Type	Method and Description
default <K> void	DataStreamGenerator.fillCacheWithCustomKey(int datasetSize, IgniteCache<K,LabeledVector<Double>> cache, Function<LabeledVector<Double>,K> keyMapper) Fills given cache with labeled vectors from this generator and user defined mapper from vectors to keys.
default void	DataStreamGenerator.fillCacheWithVecHashAsKey(int datasetSize, IgniteCache<Integer,LabeledVector<Double>> cache) Fills given cache with labeled vectors from this generator as values and their hashcodes as keys.
default void	DataStreamGenerator.fillCacheWithVecUUIDAsKey(int datasetSize, IgniteCache<UUID,LabeledVector<Double>> cache) Fills given cache with labeled vectors from this generator as values and random UUIDs as keys

Uses of IgniteCache in org.apache.ignite.springdata.proxy

Methods in org.apache.ignite.springdata.proxy that return IgniteCache

Modifier and Type	Method and Description
IgniteCache<K,V>	IgniteCacheProxyImpl.delegate()

Constructors in org.apache.ignite.springdata.proxy with parameters of type IgniteCache

Constructor and Description
IgniteCacheProxyImpl(IgniteCache<K,V> cache)

Uses of IgniteCache in org.apache.ignite.springdata22.repository

Methods in org.apache.ignite.springdata22.repository that return IgniteCache

Modifier and Type	Method and Description
IgniteCache<K,V>	IgniteRepository.cache() Returns the Ignite Cache bound to the repository

Uses of IgniteCache in org.apache.ignite.springdata22.repository.support

Methods in org.apache.ignite.springdata22.repository.support that return IgniteCache

Modifier and Type	Method and Description
IgniteCache<K,V>	IgniteRepositoryImpl.cache() Returns the Ignite Cache bound to the repository

Uses of IgniteCache in org.apache.ignite.stream

Methods in org.apache.ignite.stream with parameters of type IgniteCache

Modifier and Type	Method and Description
void	StreamTransformer.receive(IgniteCache<K,V> cache, Collection<Map.Entry<K,V>> entries) Updates cache with batch of entries.
void	StreamReceiver.receive(IgniteCache<K,V> cache, Collection<Map.Entry<K,V>> entries) Updates cache with batch of entries.
void	StreamVisitor.receive(IgniteCache<K,V> cache, Collection<Map.Entry<K,V>> entries) Updates cache with batch of entries.

Method parameters in org.apache.ignite.stream with type arguments of type IgniteCache

Modifier and Type	Method and Description
static <K,V> StreamVisitor<K,V>	StreamVisitor.from(IgniteBiInClosure<IgniteCache<K,V>,Map.Entry<K,V>> c) Creates a new visitor based on instance of IgniteBiInClosure.

Uses of IgniteCache in org.gridgain.grid

Methods in org.gridgain.grid that return IgniteCache

Modifier and Type	Method and Description
<K,V> IgniteCache<K,V>	GridGain.cache(String cacheName, byte dataCenterId) Gets cache with specified dataCenterId.