org.apache.beam.sdk.transforms (Apache Beam 2.48.0)

Interface Summary
Interface	Description
Combine.AccumulatingCombineFn.Accumulator<InputT,AccumT,OutputT>	The type of mutable accumulator values used by this `AccumulatingCombineFn`.
CombineFnBase.GlobalCombineFn<InputT,AccumT,OutputT>	*For internal use only; no backwards-compatibility guarantees.*
CombineWithContext.RequiresContextInternal	An internal interface for signaling that a `GloballyCombineFn` or a `PerKeyCombineFn` needs to access `CombineWithContext.Context`.
Contextful.Fn<InputT,OutputT>	A function from an input to an output that may additionally access `Contextful.Fn.Context` when computing the result.
DoFn.BundleFinalizer	A parameter that is accessible during `@StartBundle`, `@ProcessElement` and `@FinishBundle` that allows the caller to register a callback that will be invoked after the bundle has been successfully completed and the runner has commit the output.
DoFn.BundleFinalizer.Callback	An instance of a function that will be invoked after bundle finalization.
DoFn.MultiOutputReceiver	Receives tagged output for a multi-output function.
DoFn.OutputReceiver<T>	Receives values of the given type.
ExternalTransformBuilder<ConfigT,InputT extends PInput,OutputT extends POutput>	An interface for building a transform from an externally provided configuration.
Materialization<T>	*For internal use only; no backwards-compatibility guarantees.*
Materializations.IterableView<V>	Represents the `PrimitiveViewT` supplied to the `ViewFn` when it declares to use the `iterable materialization`.
Materializations.MultimapView<K,V>	Represents the `PrimitiveViewT` supplied to the `ViewFn` when it declares to use the `multimap materialization`.
Partition.PartitionFn<T>	A function object that chooses an output partition for an element.
Partition.PartitionWithSideInputsFn<T>	A function object that chooses an output partition for an element.
ProcessFunction<InputT,OutputT>	A function that computes an output value of type `OutputT` from an input value of type `InputT` and is `Serializable`.
SerializableBiConsumer<FirstInputT,SecondInputT>	A union of the `BiConsumer` and `Serializable` interfaces.
SerializableBiFunction<FirstInputT,SecondInputT,OutputT>	A union of the `BiFunction` and `Serializable` interfaces.
SerializableComparator<T>	A `Comparator` that is also `Serializable`.
SerializableFunction<InputT,OutputT>	A function that computes an output value of type `OutputT` from an input value of type `InputT`, is `Serializable`, and does not allow checked exceptions to be declared.
Watch.Growth.TerminationCondition<InputT,StateT>	A strategy for determining whether it is time to stop polling the current input regardless of whether its output is complete or not.

Class Summary
Class	Description
ApproximateQuantiles	`PTransform`s for getting an idea of a `PCollection`'s data distribution using approximate `N`-tiles (e.g.
ApproximateQuantiles.ApproximateQuantilesCombineFn<T,ComparatorT extends java.util.Comparator<T> & java.io.Serializable>	The `ApproximateQuantilesCombineFn` combiner gives an idea of the distribution of a collection of values using approximate `N`-tiles.
ApproximateUnique	Deprecated Consider using `ApproximateCountDistinct` in the `zetasketch` extension module, which makes use of the `HllCount` implementation.
ApproximateUnique.ApproximateUniqueCombineFn<T>	`CombineFn` that computes an estimate of the number of distinct values that were combined.
ApproximateUnique.ApproximateUniqueCombineFn.LargestUnique	A heap utility class to efficiently track the largest added elements.
ApproximateUnique.Globally<T>	`PTransform` for estimating the number of distinct elements in a `PCollection`.
ApproximateUnique.PerKey<K,V>	`PTransform` for estimating the number of distinct values associated with each key in a `PCollection` of `KV`s.
Combine	`PTransform`s for combining `PCollection` elements globally and per-key.
Combine.AccumulatingCombineFn<InputT,AccumT extends Combine.AccumulatingCombineFn.Accumulator<InputT,AccumT,OutputT>,OutputT>	A `CombineFn` that uses a subclass of `Combine.AccumulatingCombineFn.Accumulator` as its accumulator type.
Combine.BinaryCombineDoubleFn	An abstract subclass of `Combine.CombineFn` for implementing combiners that are more easily and efficiently expressed as binary operations on `double`s.
Combine.BinaryCombineFn<V>	An abstract subclass of `Combine.CombineFn` for implementing combiners that are more easily expressed as binary operations.
Combine.BinaryCombineIntegerFn	An abstract subclass of `Combine.CombineFn` for implementing combiners that are more easily and efficiently expressed as binary operations on `int`s
Combine.BinaryCombineLongFn	An abstract subclass of `Combine.CombineFn` for implementing combiners that are more easily and efficiently expressed as binary operations on `long`s.
Combine.CombineFn<InputT,AccumT,OutputT>	A `CombineFn<InputT, AccumT, OutputT>` specifies how to combine a collection of input values of type `InputT` into a single output value of type `OutputT`.
Combine.Globally<InputT,OutputT>	`Combine.Globally<InputT, OutputT>` takes a `PCollection<InputT>` and returns a `PCollection<OutputT>` whose elements are the result of combining all the elements in each window of the input `PCollection`, using a specified `CombineFn<InputT, AccumT, OutputT>`.
Combine.GloballyAsSingletonView<InputT,OutputT>	`Combine.GloballyAsSingletonView<InputT, OutputT>` takes a `PCollection<InputT>` and returns a `PCollectionView<OutputT>` whose elements are the result of combining all the elements in each window of the input `PCollection`, using a specified `CombineFn<InputT, AccumT, OutputT>`.
Combine.GroupedValues<K,InputT,OutputT>	`GroupedValues<K, InputT, OutputT>` takes a `PCollection<KV<K, Iterable<InputT>>>`, such as the result of `GroupByKey`, applies a specified `CombineFn<InputT, AccumT, OutputT>` to each of the input `KV<K, Iterable<InputT>>` elements to produce a combined output `KV<K, OutputT>` element, and returns a `PCollection<KV<K, OutputT>>` containing all the combined output elements.
Combine.Holder<V>	Holds a single value value of type `V` which may or may not be present.
Combine.IterableCombineFn<V>	Converts a `SerializableFunction` from `Iterable<V>`s to `V`s into a simple `Combine.CombineFn` over `V`s.
Combine.PerKey<K,InputT,OutputT>	`PerKey<K, InputT, OutputT>` takes a `PCollection<KV<K, InputT>>`, groups it by key, applies a combining function to the `InputT` values associated with each key to produce a combined `OutputT` value, and returns a `PCollection<KV<K, OutputT>>` representing a map from each distinct key of the input `PCollection` to the corresponding combined value.
Combine.PerKeyWithHotKeyFanout<K,InputT,OutputT>	Like `Combine.PerKey`, but sharding the combining of hot keys.
Combine.SimpleCombineFn<V>	Deprecated
CombineFnBase	*For internal use only; no backwards-compatibility guarantees.*
CombineFns	Static utility methods that create combine function instances.
CombineFns.CoCombineResult	A tuple of outputs produced by a composed combine functions.
CombineFns.ComposeCombineFnBuilder	A builder class to construct a composed `CombineFnBase.GlobalCombineFn`.
CombineFns.ComposedCombineFn<DataT>	A composed `Combine.CombineFn` that applies multiple `CombineFns`.
CombineFns.ComposedCombineFnWithContext<DataT>	A composed `CombineWithContext.CombineFnWithContext` that applies multiple `CombineFnWithContexts`.
CombineWithContext	This class contains combine functions that have access to `PipelineOptions` and side inputs through `CombineWithContext.Context`.
CombineWithContext.CombineFnWithContext<InputT,AccumT,OutputT>	A combine function that has access to `PipelineOptions` and side inputs through `CombineWithContext.Context`.
CombineWithContext.Context	Information accessible to all methods in `CombineFnWithContext` and `KeyedCombineFnWithContext`.
Contextful<ClosureT>	Pair of a bit of user code (a "closure") and the `Requirements` needed to run it.
Contextful.Fn.Context	An accessor for additional capabilities available in `Contextful.Fn.apply(InputT, org.apache.beam.sdk.transforms.Contextful.Fn.Context)`.
Count	`PTransforms` to count the elements in a `PCollection`.
Create<T>	`Create<T>` takes a collection of elements of type `T` known when the pipeline is constructed and returns a `PCollection<T>` containing the elements.
Create.OfValueProvider<T>	Implementation of `Create.ofProvider(org.apache.beam.sdk.options.ValueProvider<T>, org.apache.beam.sdk.coders.Coder<T>)`.
Create.TimestampedValues<T>	A `PTransform` that creates a `PCollection` whose elements have associated timestamps.
Create.Values<T>	A `PTransform` that creates a `PCollection` from a set of in-memory objects.
Deduplicate	A set of `PTransform`s which deduplicate input records over a time domain and threshold.
Deduplicate.KeyedValues<K,V>	Deduplicates keyed values using the key over a specified time domain and threshold.
Deduplicate.Values<T>	Deduplicates values over a specified time domain and threshold.
Deduplicate.WithRepresentativeValues<T,IdT>	A `PTransform` that uses a `SerializableFunction` to obtain a representative value for each input element used for deduplication.
Distinct<T>	`Distinct<T>` takes a `PCollection<T>` and returns a `PCollection<T>` that has all distinct elements of the input.
Distinct.WithRepresentativeValues<T,IdT>	A `Distinct` `PTransform` that uses a `SerializableFunction` to obtain a representative value for each input element.
DoFn<InputT,OutputT>	The argument to `ParDo` providing the code to use to process elements of the input `PCollection`.
DoFn.ProcessContinuation	When used as a return value of `DoFn.ProcessElement`, indicates whether there is more work to be done for the current element.
DoFnOutputReceivers	Common `DoFn.OutputReceiver` and `DoFn.MultiOutputReceiver` classes.
DoFnSchemaInformation	Represents information about how a DoFn extracts schemas.
DoFnSchemaInformation.Builder	The builder object.
DoFnTester<InputT,OutputT>	Deprecated Use `TestPipeline` with the `DirectRunner`.
Filter<T>	`PTransform`s for filtering from a `PCollection` the elements satisfying a predicate, or satisfying an inequality with a given value based on the elements' natural ordering.
FlatMapElements<InputT,OutputT>	`PTransform`s for mapping a simple function that returns iterables over the elements of a `PCollection` and merging the results.
FlatMapElements.FlatMapWithFailures<InputT,OutputT,FailureT>	A `PTransform` that adds exception handling to `FlatMapElements`.
Flatten	`Flatten<T>` takes multiple `PCollection<T>`s bundled into a `PCollectionList<T>` and returns a single `PCollection<T>` containing all the elements in all the input `PCollection`s.
Flatten.Iterables<T>	`FlattenIterables<T>` takes a `PCollection<Iterable<T>>` and returns a `PCollection<T>` that contains all the elements from each iterable.
Flatten.PCollections<T>	A `PTransform` that flattens a `PCollectionList` into a `PCollection` containing all the elements of all the `PCollection`s in its input.
GroupByKey<K,V>	`GroupByKey<K, V>` takes a `PCollection<KV<K, V>>`, groups the values by key and windows, and returns a `PCollection<KV<K, Iterable<V>>>` representing a map from each distinct key and window of the input `PCollection` to an `Iterable` over all the values associated with that key in the input per window.
GroupIntoBatches<K,InputT>	A `PTransform` that batches inputs to a desired batch size.
GroupIntoBatches.BatchingParams<InputT>	Wrapper class for batching parameters supplied by users.
Impulse	*For internal use only; no backwards-compatibility guarantees.*
InferableFunction<InputT,OutputT>	A `ProcessFunction` which is not a functional interface.
JsonToRow	Creates a `PTransform` to convert input JSON objects to `Rows` with given `Schema`.
JsonToRow.JsonToRowWithErrFn
JsonToRow.JsonToRowWithErrFn.Builder
JsonToRow.JsonToRowWithErrFn.ParseWithError
JsonToRow.JsonToRowWithErrFn.ParseWithError.Builder
JsonToRow.ParseResult	The result of a `JsonToRow.withExceptionReporting(Schema)` transform.
JsonToRow.ParseResult.Builder
Keys<K>	`Keys<K>` takes a `PCollection` of `KV<K, V>`s and returns a `PCollection<K>` of the keys.
KvSwap<K,V>	`KvSwap<K, V>` takes a `PCollection<KV<K, V>>` and returns a `PCollection<KV<V, K>>`, where all the keys and values have been swapped.
Latest	`PTransform` and `Combine.CombineFn` for computing the latest element in a `PCollection`.
MapElements<InputT,OutputT>	`PTransform`s for mapping a simple function over the elements of a `PCollection`.
MapElements.MapWithFailures<InputT,OutputT,FailureT>	A `PTransform` that adds exception handling to `MapElements`.
MapKeys<K1,K2,V>	`MapKeys` maps a `SerializableFunction<K1,K2>` over keys of a `PCollection<KV<K1,V>>` and returns a `PCollection<KV<K2, V>>`.
MapValues<K,V1,V2>	`MapValues` maps a `SerializableFunction<V1,V2>` over values of a `PCollection<KV<K,V1>>` and returns a `PCollection<KV<K, V2>>`.
Materializations	*For internal use only; no backwards-compatibility guarantees.*
Max	`PTransform`s for computing the maximum of the elements in a `PCollection`, or the maximum of the values associated with each key in a `PCollection` of `KV`s.
Mean	`PTransform`s for computing the arithmetic mean (a.k.a.
Min	`PTransform`s for computing the minimum of the elements in a `PCollection`, or the minimum of the values associated with each key in a `PCollection` of `KV`s.
ParDo	`ParDo` is the core element-wise transform in Apache Beam, invoking a user-specified function on each of the elements of the input `PCollection` to produce zero or more output elements, all of which are collected into the output `PCollection`.
ParDo.MultiOutput<InputT,OutputT>	A `PTransform` that, when applied to a `PCollection<InputT>`, invokes a user-specified `DoFn<InputT, OutputT>` on all its elements, which can emit elements to any of the `PTransform`'s output `PCollection`s, which are bundled into a result `PCollectionTuple`.
ParDo.SingleOutput<InputT,OutputT>	A `PTransform` that, when applied to a `PCollection<InputT>`, invokes a user-specified `DoFn<InputT, OutputT>` on all its elements, with all its outputs collected into an output `PCollection<OutputT>`.
Partition<T>	`Partition` takes a `PCollection<T>` and a `PartitionFn`, uses the `PartitionFn` to split the elements of the input `PCollection` into `N` partitions, and returns a `PCollectionList<T>` that bundles `N` `PCollection<T>`s containing the split elements.
PeriodicImpulse	A `PTransform` which produces a sequence of elements at fixed runtime intervals.
PeriodicSequence	A `PTransform` which generates a sequence of timestamped elements at given runtime intervals.
PeriodicSequence.OutputRangeTracker
PeriodicSequence.SequenceDefinition
PTransform<InputT extends PInput,OutputT extends POutput>	A `PTransform<InputT, OutputT>` is an operation that takes an `InputT` (some subtype of `PInput`) and produces an `OutputT` (some subtype of `POutput`).
Regex	`PTransorm`s to use Regular Expressions to process elements in a `PCollection`.
Regex.AllMatches	`Regex.MatchesName<String>` takes a `PCollection<String>` and returns a `PCollection<List<String>>` representing the value extracted from all the Regex groups of the input `PCollection` to the number of times that element occurs in the input.
Regex.Find	`Regex.Find<String>` takes a `PCollection<String>` and returns a `PCollection<String>` representing the value extracted from the Regex groups of the input `PCollection` to the number of times that element occurs in the input.
Regex.FindAll	`Regex.Find<String>` takes a `PCollection<String>` and returns a `PCollection<List<String>>` representing the value extracted from the Regex groups of the input `PCollection` to the number of times that element occurs in the input.
Regex.FindKV	`Regex.MatchesKV<KV<String, String>>` takes a `PCollection<String>` and returns a `PCollection<KV<String, String>>` representing the key and value extracted from the Regex groups of the input `PCollection` to the number of times that element occurs in the input.
Regex.FindName	`Regex.Find<String>` takes a `PCollection<String>` and returns a `PCollection<String>` representing the value extracted from the Regex groups of the input `PCollection` to the number of times that element occurs in the input.
Regex.FindNameKV	`Regex.MatchesKV<KV<String, String>>` takes a `PCollection<String>` and returns a `PCollection<KV<String, String>>` representing the key and value extracted from the Regex groups of the input `PCollection` to the number of times that element occurs in the input.
Regex.Matches	`Regex.Matches<String>` takes a `PCollection<String>` and returns a `PCollection<String>` representing the value extracted from the Regex groups of the input `PCollection` to the number of times that element occurs in the input.
Regex.MatchesKV	`Regex.MatchesKV<KV<String, String>>` takes a `PCollection<String>` and returns a `PCollection<KV<String, String>>` representing the key and value extracted from the Regex groups of the input `PCollection` to the number of times that element occurs in the input.
Regex.MatchesName	`Regex.MatchesName<String>` takes a `PCollection<String>` and returns a `PCollection<String>` representing the value extracted from the Regex groups of the input `PCollection` to the number of times that element occurs in the input.
Regex.MatchesNameKV	`Regex.MatchesNameKV<KV<String, String>>` takes a `PCollection<String>` and returns a `PCollection<KV<String, String>>` representing the key and value extracted from the Regex groups of the input `PCollection` to the number of times that element occurs in the input.
Regex.ReplaceAll	`Regex.ReplaceAll<String>` takes a `PCollection<String>` and returns a `PCollection<String>` with all Strings that matched the Regex being replaced with the replacement string.
Regex.ReplaceFirst	`Regex.ReplaceFirst<String>` takes a `PCollection<String>` and returns a `PCollection<String>` with the first Strings that matched the Regex being replaced with the replacement string.
Regex.Split	`Regex.Split<String>` takes a `PCollection<String>` and returns a `PCollection<String>` with the input string split into individual items in a list.
Reify	`PTransforms` for converting between explicit and implicit form of various Beam values.
Requirements	Describes the run-time requirements of a `Contextful`, such as access to side inputs.
Reshuffle<K,V>	Deprecated this transform's intended side effects are not portable; it will likely be removed
Reshuffle.AssignShardFn<T>
Reshuffle.ViaRandomKey<T>	Implementation of `Reshuffle.viaRandomKey()`.
Sample	`PTransform`s for taking samples of the elements in a `PCollection`, or samples of the values associated with each key in a `PCollection` of `KV`s.
Sample.FixedSizedSampleFn<T>	`CombineFn` that computes a fixed-size sample of a collection of values.
SerializableFunctions	Useful `SerializableFunction` overrides.
Sets	The `PTransform`s that allow to compute different set functions across `PCollection`s.
SimpleFunction<InputT,OutputT>	A `SerializableFunction` which is not a functional interface.
Sum	`PTransform`s for computing the sum of the elements in a `PCollection`, or the sum of the values associated with each key in a `PCollection` of `KV`s.
ToJson<T>	Creates a `PTransform` that serializes UTF-8 JSON objects from a `Schema`-aware PCollection (i.e.
Top	`PTransform`s for finding the largest (or smallest) set of elements in a `PCollection`, or the largest (or smallest) set of values associated with each key in a `PCollection` of `KV`s.
Top.Largest<T extends java.lang.Comparable<? super T>>	Deprecated use `Top.Natural` instead
Top.Natural<T extends java.lang.Comparable<? super T>>	A `Serializable` `Comparator` that that uses the compared elements' natural ordering.
Top.Reversed<T extends java.lang.Comparable<? super T>>	`Serializable` `Comparator` that that uses the reverse of the compared elements' natural ordering.
Top.Smallest<T extends java.lang.Comparable<? super T>>	Deprecated use `Top.Reversed` instead
Top.TopCombineFn<T,ComparatorT extends java.util.Comparator<T> & java.io.Serializable>	`CombineFn` for `Top` transforms that combines a bunch of `T`s into a single `count`-long `List<T>`, using `compareFn` to choose the largest `T`s.
ToString	`PTransforms` for converting a `PCollection<?>`, `PCollection<KV<?,?>>`, or `PCollection<Iterable<?>>` to a `PCollection<String>`.
Values<V>	`Values<V>` takes a `PCollection` of `KV<K, V>`s and returns a `PCollection<V>` of the values.
View	Transforms for creating `PCollectionViews` from `PCollections` (to read them as side inputs).
View.AsIterable<T>	*For internal use only; no backwards-compatibility guarantees.*
View.AsList<T>	*For internal use only; no backwards-compatibility guarantees.*
View.AsMap<K,V>	*For internal use only; no backwards-compatibility guarantees.*
View.AsMultimap<K,V>	*For internal use only; no backwards-compatibility guarantees.*
View.AsSingleton<T>	*For internal use only; no backwards-compatibility guarantees.*
View.CreatePCollectionView<ElemT,ViewT>	*For internal use only; no backwards-compatibility guarantees.*
View.ToListViewDoFn<T>	Provides an index to value mapping using a random starting index and also provides an offset range for each window seen.
ViewFn<PrimitiveViewT,ViewT>	*For internal use only; no backwards-compatibility guarantees.*
Wait	Delays processing of each window in a `PCollection` until signaled.
Wait.OnSignal<T>	Implementation of `Wait.on(org.apache.beam.sdk.values.PCollection<?>...)`.
Watch	Given a "poll function" that produces a potentially growing set of outputs for an input, this transform simultaneously continuously watches the growth of output sets of all inputs, until a per-input termination condition is reached.
Watch.Growth<InputT,OutputT,KeyT>	Implementation of `Watch.growthOf(org.apache.beam.sdk.transforms.Watch.Growth.PollFn<InputT, OutputT>, org.apache.beam.sdk.transforms.Requirements)`.
Watch.Growth.PollFn<InputT,OutputT>	A function that computes the current set of outputs for the given input, in the form of a `Watch.Growth.PollResult`.
Watch.Growth.PollResult<OutputT>	The result of a single invocation of a `Watch.Growth.PollFn`.
Watch.WatchGrowthFn<InputT,OutputT,KeyT,TerminationStateT>
WithFailures	A collection of utilities for writing transforms that can handle exceptions raised during processing of elements.
WithFailures.ExceptionAsMapHandler<T>	A simple handler that extracts information from an exception to a `Map<String, String>` and returns a `KV` where the key is the input element that failed processing, and the value is the map of exception attributes.
WithFailures.ExceptionElement<T>	The value type passed as input to exception handlers.
WithFailures.Result<OutputT extends POutput,FailureElementT>	An intermediate output type for PTransforms that allows an output collection to live alongside a collection of elements that failed the transform.
WithFailures.ThrowableHandler<T>	A handler that holds onto the `Throwable` that led to the exception, returning it along with the original value as a `KV`.
WithKeys<K,V>	`WithKeys<K, V>` takes a `PCollection<V>`, and either a constant key of type `K` or a function from `V` to `K`, and returns a `PCollection<KV<K, V>>`, where each of the values in the input `PCollection` has been paired with either the constant key or a key computed from the value.
WithTimestamps<T>	A `PTransform` for assigning timestamps to all the elements of a `PCollection`.

Enum Summary
Enum Description

DoFnTester.CloningBehavior Deprecated
Use TestPipeline with the DirectRunner.

Enum Summary
Enum	Description
DoFnTester.CloningBehavior	Deprecated Use `TestPipeline` with the `DirectRunner`.

Annotation Types Summary
Annotation Type	Description
DoFn.AlwaysFetched	Annotation for declaring that a state parameter is always fetched.
DoFn.BoundedPerElement	Annotation on a splittable `DoFn` specifying that the `DoFn` performs a bounded amount of work per input element, so applying it to a bounded `PCollection` will produce also a bounded `PCollection`.
DoFn.Element	Parameter annotation for the input element for `DoFn.ProcessElement`, `DoFn.GetInitialRestriction`, `DoFn.GetSize`, `DoFn.SplitRestriction`, `DoFn.GetInitialWatermarkEstimatorState`, `DoFn.NewWatermarkEstimator`, and `DoFn.NewTracker` methods.
DoFn.FieldAccess	Annotation for specifying specific fields that are accessed in a Schema PCollection.
DoFn.FinishBundle	Annotation for the method to use to finish processing a batch of elements.
DoFn.GetInitialRestriction	Annotation for the method that maps an element to an initial restriction for a splittable `DoFn`.
DoFn.GetInitialWatermarkEstimatorState	Annotation for the method that maps an element and restriction to initial watermark estimator state for a splittable `DoFn`.
DoFn.GetRestrictionCoder	Annotation for the method that returns the coder to use for the restriction of a splittable `DoFn`.
DoFn.GetSize	Annotation for the method that returns the corresponding size for an element and restriction pair.
DoFn.GetWatermarkEstimatorStateCoder	Annotation for the method that returns the coder to use for the watermark estimator state of a splittable `DoFn`.
DoFn.Key	Parameter annotation for dereferencing input element key in `KV` pair.
DoFn.NewTracker	Annotation for the method that creates a new `RestrictionTracker` for the restriction of a splittable `DoFn`.
DoFn.NewWatermarkEstimator	Annotation for the method that creates a new `WatermarkEstimator` for the watermark state of a splittable `DoFn`.
DoFn.OnTimer	Annotation for registering a callback for a timer.
DoFn.OnTimerFamily	Annotation for registering a callback for a timerFamily.
DoFn.OnWindowExpiration	Annotation for the method to use for performing actions on window expiration.
DoFn.ProcessElement	Annotation for the method to use for processing elements.
DoFn.RequiresStableInput	Annotation that may be added to a `DoFn.ProcessElement`, `DoFn.OnTimer`, or `DoFn.OnWindowExpiration` method to indicate that the runner must ensure that the observable contents of the input `PCollection` or mutable state must be stable upon retries.
DoFn.RequiresTimeSortedInput	Annotation that may be added to a `DoFn.ProcessElement` method to indicate that the runner must ensure that the observable contents of the input `PCollection` is sorted by time, in ascending order.
DoFn.Restriction	Parameter annotation for the restriction for `DoFn.GetSize`, `DoFn.SplitRestriction`, `DoFn.GetInitialWatermarkEstimatorState`, `DoFn.NewWatermarkEstimator`, and `DoFn.NewTracker` methods.
DoFn.Setup	Annotation for the method to use to prepare an instance for processing bundles of elements.
DoFn.SideInput	Parameter annotation for the SideInput for a `DoFn.ProcessElement` method.
DoFn.SplitRestriction	Annotation for the method that splits restriction of a splittable `DoFn` into multiple parts to be processed in parallel.
DoFn.StartBundle	Annotation for the method to use to prepare an instance for processing a batch of elements.
DoFn.StateId	Annotation for declaring and dereferencing state cells.
DoFn.Teardown	Annotation for the method to use to clean up this instance before it is discarded.
DoFn.TimerFamily	Parameter annotation for the TimerMap for a `DoFn.ProcessElement` method.
DoFn.TimerId	Annotation for declaring and dereferencing timers.
DoFn.Timestamp	Parameter annotation for the input element timestamp for `DoFn.ProcessElement`, `DoFn.GetInitialRestriction`, `DoFn.GetSize`, `DoFn.SplitRestriction`, `DoFn.GetInitialWatermarkEstimatorState`, `DoFn.NewWatermarkEstimator`, and `DoFn.NewTracker` methods.
DoFn.TruncateRestriction	Annotation for the method that truncates the restriction of a splittable `DoFn` into a bounded one.
DoFn.UnboundedPerElement	Annotation on a splittable `DoFn` specifying that the `DoFn` performs an unbounded amount of work per input element, so applying it to a bounded `PCollection` will produce an unbounded `PCollection`.
DoFn.WatermarkEstimatorState	Parameter annotation for the watermark estimator state for the `DoFn.NewWatermarkEstimator` method.

Package org.apache.beam.sdk.transforms Description

Defines PTransforms for transforming data in a pipeline.

A PTransform is an operation that takes an InputT (some subtype of PInput) and produces an OutputT (some subtype of POutput).

Common PTransforms include root PTransforms like TextIO.Read and Create, processing and conversion operations like ParDo, GroupByKey, CoGroupByKey, Combine, and Count, and outputting PTransforms like TextIO.Write.

New PTransforms can be created by composing existing PTransforms. Most PTransforms in this package are composites, and users can also create composite PTransforms for their own application-specific logic.