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
PTransform that adds exception handling to FlatMapElements. |
name, resourceHints| Modifier and Type | Method and Description |
|---|---|
<NewFailureT> |
exceptionsInto(TypeDescriptor<NewFailureT> failureTypeDescriptor)
Returns a new
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). |
<FailureT> FlatMapElements.FlatMapWithFailures<InputT,OutputT,FailureT> |
exceptionsVia(InferableFunction<WithFailures.ExceptionElement<InputT>,FailureT> exceptionHandler)
Returns a new
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. |
PCollection<OutputT> |
expand(PCollection<? extends InputT> input)
Override this method to specify how this
PTransform should be expanded on the given
InputT. |
static <OutputT> FlatMapElements<?,OutputT> |
into(TypeDescriptor<OutputT> outputType)
Returns a new
FlatMapElements transform with the given type descriptor for the output
type, but the mapping function yet to be specified using via(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 a
PTransform that applies fn to every element of the input PCollection<InputT> and outputs all of the elements to the output PCollection<OutputT>. |
<NewInputT> |
via(ProcessFunction<NewInputT,? extends java.lang.Iterable<OutputT>> fn)
For a
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>. |
<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, 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();