public class FlatMapElements<InputT,OutputT> extends PTransform<PCollection<? extends InputT>,PCollection<OutputT>>
PTransforms for mapping a simple function that returns iterables over the elements of a
 PCollection and merging the results.| Modifier and Type | Class and Description | 
|---|---|
| static class  | FlatMapElements.FlatMapWithFailures<InputT,OutputT,FailureT>A  PTransformthat adds exception handling toFlatMapElements. | 
name, resourceHints| Modifier and Type | Method and Description | 
|---|---|
| <NewFailureT> | exceptionsInto(TypeDescriptor<NewFailureT> failureTypeDescriptor)Returns a new  FlatMapElements.FlatMapWithFailurestransform that catches exceptions raised while
 mapping elements, with the given type descriptor used for the failure collection but the
 exception handler yet to be specified usingFlatMapElements.FlatMapWithFailures.exceptionsVia(ProcessFunction). | 
| <FailureT> FlatMapElements.FlatMapWithFailures<InputT,OutputT,FailureT> | exceptionsVia(InferableFunction<WithFailures.ExceptionElement<InputT>,FailureT> exceptionHandler)Returns a new  FlatMapElements.FlatMapWithFailurestransform that catches exceptions raised while
 mapping elements, passing the raised exception instance and the input element being processed
 through the givenexceptionHandlerand emitting the result to a failure collection. | 
| PCollection<OutputT> | expand(PCollection<? extends InputT> input)Override this method to specify how this  PTransformshould be expanded on the givenInputT. | 
| static <OutputT> FlatMapElements<?,OutputT> | into(TypeDescriptor<OutputT> outputType)Returns a new  FlatMapElementstransform with the given type descriptor for the output
 type, but the mapping function yet to be specified usingvia(ProcessFunction). | 
| void | populateDisplayData(DisplayData.Builder builder)Register display data for the given transform or component. | 
| <NewInputT> | via(Contextful<Contextful.Fn<NewInputT,java.lang.Iterable<OutputT>>> fn)Like  via(ProcessFunction), but allows access to additional context. | 
| static <InputT,OutputT> | via(InferableFunction<? super InputT,? extends java.lang.Iterable<OutputT>> fn)For a  InferableFunction<InputT, ? extends Iterable<OutputT>>fn, return aPTransformthat appliesfnto every element of the inputPCollection<InputT>and outputs all of the elements to the outputPCollection<OutputT>. | 
| <NewInputT> | via(ProcessFunction<NewInputT,? extends java.lang.Iterable<OutputT>> fn)For a  ProcessFunction<InputT, ? extends Iterable<OutputT>>fn, returns aPTransformthat appliesfnto every element of the inputPCollection<InputT>and outputs all of the elements to the outputPCollection<OutputT>. | 
| <NewInputT> | via(SerializableFunction<NewInputT,? extends java.lang.Iterable<OutputT>> fn)Binary compatibility adapter for  via(ProcessFunction). | 
| static <InputT,OutputT> | via(SimpleFunction<? super InputT,? extends java.lang.Iterable<OutputT>> fn)Binary compatibility adapter for  via(ProcessFunction). | 
compose, compose, getAdditionalInputs, getDefaultOutputCoder, getDefaultOutputCoder, getDefaultOutputCoder, getKindString, getName, getResourceHints, setResourceHints, toString, validate, validatepublic static <InputT,OutputT> FlatMapElements<InputT,OutputT> via(InferableFunction<? super InputT,? extends java.lang.Iterable<OutputT>> fn)
InferableFunction<InputT, ? extends Iterable<OutputT>> fn, return a
 PTransform that applies fn to every element of the input PCollection<InputT> and outputs all of the elements to the output PCollection<OutputT>.
 InferableFunction has the advantage of providing type descriptor information, but it
 is generally more convenient to specify output type via into(TypeDescriptor), and
 provide the mapping as a lambda expression to via(ProcessFunction).
 
Example usage:
 PCollection<String> lines = ...;
 PCollection<String> words = lines.apply(FlatMapElements.via(
     new InferableFunction<String, List<String>>() {
       public List<String> apply(String line) throws Exception {
         return Arrays.asList(line.split(" "));
       }
     });
 public static <InputT,OutputT> FlatMapElements<InputT,OutputT> via(SimpleFunction<? super InputT,? extends java.lang.Iterable<OutputT>> fn)
via(ProcessFunction).public static <OutputT> FlatMapElements<?,OutputT> into(TypeDescriptor<OutputT> outputType)
FlatMapElements transform with the given type descriptor for the output
 type, but the mapping function yet to be specified using via(ProcessFunction).public <NewInputT> FlatMapElements<NewInputT,OutputT> via(ProcessFunction<NewInputT,? extends java.lang.Iterable<OutputT>> fn)
ProcessFunction<InputT, ? extends Iterable<OutputT>> fn, returns a PTransform that applies fn to every element of the input PCollection<InputT>
 and outputs all of the elements to the output PCollection<OutputT>.
 Example usage:
 PCollection<String> words = lines.apply(
     FlatMapElements.into(TypeDescriptors.strings())
                    .via((String line) -> Arrays.asList(line.split(" ")))
 public <NewInputT> FlatMapElements<NewInputT,OutputT> via(SerializableFunction<NewInputT,? extends java.lang.Iterable<OutputT>> fn)
via(ProcessFunction).@Experimental(value=CONTEXTFUL) public <NewInputT> FlatMapElements<NewInputT,OutputT> via(Contextful<Contextful.Fn<NewInputT,java.lang.Iterable<OutputT>>> fn)
via(ProcessFunction), but allows access to additional context.public PCollection<OutputT> expand(PCollection<? extends InputT> input)
PTransformPTransform should be expanded on the given
 InputT.
 NOTE: This method should not be called directly. Instead apply the PTransform should
 be applied to the InputT using the apply method.
 
Composite transforms, which are defined in terms of other transforms, should return the output of one of the composed transforms. Non-composite transforms, which do not apply any transforms internally, should return a new unbound output and register evaluators (via backend-specific registration methods).
expand in class PTransform<PCollection<? extends InputT>,PCollection<OutputT>>public void populateDisplayData(DisplayData.Builder builder)
PTransformpopulateDisplayData(DisplayData.Builder) is invoked by Pipeline runners to collect
 display data via DisplayData.from(HasDisplayData). Implementations may call super.populateDisplayData(builder) in order to register display data in the current namespace,
 but should otherwise use subcomponent.populateDisplayData(builder) to use the namespace
 of the subcomponent.
 
By default, does not register any display data. Implementors may override this method to provide their own display data.
populateDisplayData in interface HasDisplayDatapopulateDisplayData in class PTransform<PCollection<? extends InputT>,PCollection<OutputT>>builder - The builder to populate with display data.HasDisplayData@Experimental(value=WITH_EXCEPTIONS) public <NewFailureT> FlatMapElements.FlatMapWithFailures<InputT,OutputT,NewFailureT> exceptionsInto(TypeDescriptor<NewFailureT> failureTypeDescriptor)
FlatMapElements.FlatMapWithFailures transform that catches exceptions raised while
 mapping elements, with the given type descriptor used for the failure collection but the
 exception handler yet to be specified using FlatMapElements.FlatMapWithFailures.exceptionsVia(ProcessFunction).
 See WithFailures documentation for usage patterns of the returned WithFailures.Result.
@Experimental(value=WITH_EXCEPTIONS) public <FailureT> FlatMapElements.FlatMapWithFailures<InputT,OutputT,FailureT> exceptionsVia(InferableFunction<WithFailures.ExceptionElement<InputT>,FailureT> exceptionHandler)
FlatMapElements.FlatMapWithFailures transform that catches exceptions raised while
 mapping elements, passing the raised exception instance and the input element being processed
 through the given exceptionHandler and emitting the result to a failure collection.
 This method takes advantage of the type information provided by InferableFunction,
 meaning that a call to exceptionsInto(TypeDescriptor) may not be necessary.
 
See WithFailures documentation for usage patterns of the returned WithFailures.Result.
 
Example usage:
 Result<PCollection<String>, String>> result = words.apply(
     FlatMapElements
         .into(TypeDescriptors.strings())
         // Could throw ArrayIndexOutOfBoundsException
         .via((String line) -> Arrays.asList(Arrays.copyOfRange(line.split(" "), 1, 5)))
         .exceptionsVia(new WithFailures.ExceptionAsMapHandler<String>() {}));
 PCollection<String> output = result.output();
 PCollection<String> failures = result.failures();