public class KafkaRecordCoder<K,V> extends StructuredCoder<KafkaRecord<K,V>>
Coder for KafkaRecord.Coder.Context, Coder.NonDeterministicException| Constructor and Description |
|---|
KafkaRecordCoder(Coder<K> keyCoder,
Coder<V> valueCoder) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
consistentWithEquals()
|
KafkaRecord<K,V> |
decode(java.io.InputStream inStream)
Decodes a value of type
T from the given input stream in
the given context. |
KafkaRecord<K,V> |
decode(java.io.InputStream inStream,
Coder.Context context)
Decodes a value of type
T from the given input stream in
the given context. |
void |
encode(KafkaRecord<K,V> value,
java.io.OutputStream outStream)
Encodes the given value of type
T onto the given output stream. |
void |
encode(KafkaRecord<K,V> value,
java.io.OutputStream outStream,
Coder.Context context)
Encodes the given value of type
T onto the given output stream
in the given context. |
java.util.List<? extends Coder<?>> |
getCoderArguments()
|
boolean |
isRegisterByteSizeObserverCheap(KafkaRecord<K,V> value)
Returns whether
Coder.registerByteSizeObserver(T, org.apache.beam.sdk.util.common.ElementByteSizeObserver) cheap enough to
call for every element, that is, if this Coder can
calculate the byte size of the element to be coded in roughly
constant time (or lazily). |
static <K,V> KafkaRecordCoder<K,V> |
of(Coder<K> keyCoder,
Coder<V> valueCoder) |
java.lang.Object |
structuralValue(KafkaRecord<K,V> value)
Returns an object with an
Object.equals() method that represents structural equality on
the argument. |
void |
verifyDeterministic()
Throw
Coder.NonDeterministicException if the coding is not deterministic. |
equals, getComponents, getEncodedTypeDescriptor, hashCode, toStringgetEncodedElementByteSize, registerByteSizeObserver, verifyDeterministic, verifyDeterministicpublic static <K,V> KafkaRecordCoder<K,V> of(Coder<K> keyCoder, Coder<V> valueCoder)
public void encode(KafkaRecord<K,V> value, java.io.OutputStream outStream) throws CoderException, java.io.IOException
CoderT onto the given output stream.encode in class Coder<KafkaRecord<K,V>>CoderException - if the value could not be encoded for some reasonjava.io.IOException - if writing to the OutputStream fails
for some reasonpublic void encode(KafkaRecord<K,V> value, java.io.OutputStream outStream, Coder.Context context) throws CoderException, java.io.IOException
CoderT onto the given output stream
in the given context.encode in class Coder<KafkaRecord<K,V>>CoderException - if the value could not be encoded for some reasonjava.io.IOException - if writing to the OutputStream fails
for some reasonpublic KafkaRecord<K,V> decode(java.io.InputStream inStream) throws CoderException, java.io.IOException
CoderT from the given input stream in
the given context. Returns the decoded value.decode in class Coder<KafkaRecord<K,V>>CoderException - if the value could not be decoded for some reasonjava.io.IOException - if reading from the InputStream fails
for some reasonpublic KafkaRecord<K,V> decode(java.io.InputStream inStream, Coder.Context context) throws CoderException, java.io.IOException
CoderT from the given input stream in
the given context. Returns the decoded value.decode in class Coder<KafkaRecord<K,V>>CoderException - if the value could not be decoded for some reasonjava.io.IOException - if reading from the InputStream fails
for some reasonpublic java.util.List<? extends Coder<?>> getCoderArguments()
CoderCoder for a parameterized type, returns the
list of Coders being used for each of the parameters in the same order they appear
within the parameterized type's type signature. If this cannot be done, or this
Coder does not encode/decode a parameterized type, returns the empty list.getCoderArguments in class Coder<KafkaRecord<K,V>>public void verifyDeterministic()
throws Coder.NonDeterministicException
CoderCoder.NonDeterministicException if the coding is not deterministic.
In order for a Coder to be considered deterministic,
the following must be true:
Object.equals()
or Comparable.compareTo(), if supported) have the same
encoding.
Coder always produces a canonical encoding, which is the
same for an instance of an object even if produced on different
computers at different times.
verifyDeterministic in class Coder<KafkaRecord<K,V>>Coder.NonDeterministicException - if this coder is not deterministic.public boolean isRegisterByteSizeObserverCheap(KafkaRecord<K,V> value)
CoderCoder.registerByteSizeObserver(T, org.apache.beam.sdk.util.common.ElementByteSizeObserver) cheap enough to
call for every element, that is, if this Coder can
calculate the byte size of the element to be coded in roughly
constant time (or lazily).
Not intended to be called by user code, but instead by
PipelineRunner
implementations.
By default, returns false. The default Coder.registerByteSizeObserver(T, org.apache.beam.sdk.util.common.ElementByteSizeObserver) implementation
invokes Coder.getEncodedElementByteSize(T) which requires re-encoding an element
unless it is overridden. This is considered expensive.
isRegisterByteSizeObserverCheap in class Coder<KafkaRecord<K,V>>public java.lang.Object structuralValue(KafkaRecord<K,V> value)
CoderObject.equals() method that represents structural equality on
the argument.
For any two values x and y of type T, if their encoded bytes are the
same, then it must be the case that structuralValue(x).equals(@code structuralValue(y).
Most notably:
null should be a proper object with an
equals() method, even if the input value is null.
See also Coder.consistentWithEquals().
By default, if this coder is Coder.consistentWithEquals(), and the value is not null,
returns the provided object. Otherwise, encodes the value into a byte[], and returns
an object that performs array equality on the encoded bytes.
structuralValue in class StructuredCoder<KafkaRecord<K,V>>public boolean consistentWithEquals()
StructuredCodertrue if this Coder is injective with respect to Object.equals(java.lang.Object).
Whenever the encoded bytes of two values are equal, then the original values are equal
according to Objects.equals(). Note that this is well-defined for null.
This condition is most notably false for arrays. More generally, this condition is false
whenever equals() compares object identity, rather than performing a
semantic/structural comparison.
By default, returns false.
consistentWithEquals in class StructuredCoder<KafkaRecord<K,V>>false for StructuredCoder unless overridden.