@Internal public class ArrayDataSerializer extends ArrayDataSerializer
TypeSerializer
for ArrayData
. It should be noted that the header will not be
encoded. Currently Python doesn't support BinaryArrayData natively, so we can't use
BaseArraySerializer directly.Modifier and Type | Class and Description |
---|---|
static class |
ArrayDataSerializer.ArrayDataSerializerSnapshot
|
Constructor and Description |
---|
ArrayDataSerializer(LogicalType eleType,
TypeSerializer elementTypeSerializer) |
Modifier and Type | Method and Description |
---|---|
void |
copy(DataInputView source,
DataOutputView target)
Copies exactly one record from the source input view to the target output view.
|
ArrayData |
deserialize(ArrayData reuse,
DataInputView source)
De-serializes a record from the given source input view into the given reuse record instance
if mutable.
|
ArrayData |
deserialize(DataInputView source)
De-serializes a record from the given source input view.
|
TypeSerializer<ArrayData> |
duplicate()
Creates a deep copy of this serializer if it is necessary, i.e. if it is stateful.
|
void |
serialize(ArrayData array,
DataOutputView target)
Serializes the given record to the given target output view.
|
TypeSerializerSnapshot<ArrayData> |
snapshotConfiguration()
Snapshots the configuration of this TypeSerializer.
|
copy, copy, createInstance, equals, getEleSer, getLength, hashCode, isImmutableType, toBinaryArray
public ArrayDataSerializer(LogicalType eleType, TypeSerializer elementTypeSerializer)
public void serialize(ArrayData array, DataOutputView target) throws IOException
TypeSerializer
serialize
in class ArrayDataSerializer
array
- The record to serialize.target
- The output view to write the serialized data to.IOException
- Thrown, if the serialization encountered an I/O related error. Typically
raised by the output view, which may have an underlying I/O channel to which it
delegates.public ArrayData deserialize(DataInputView source) throws IOException
TypeSerializer
deserialize
in class ArrayDataSerializer
source
- The input view from which to read the data.IOException
- Thrown, if the de-serialization encountered an I/O related error.
Typically raised by the input view, which may have an underlying I/O channel from which
it reads.public ArrayData deserialize(ArrayData reuse, DataInputView source) throws IOException
TypeSerializer
deserialize
in class ArrayDataSerializer
reuse
- The record instance into which to de-serialize the data.source
- The input view from which to read the data.IOException
- Thrown, if the de-serialization encountered an I/O related error.
Typically raised by the input view, which may have an underlying I/O channel from which
it reads.public void copy(DataInputView source, DataOutputView target) throws IOException
TypeSerializer
target.write(source, 8);
.copy
in class ArrayDataSerializer
source
- The input view from which to read the record.target
- The target output view to which to write the record.IOException
- Thrown if any of the two views raises an exception.public TypeSerializer<ArrayData> duplicate()
TypeSerializer
We need this because Serializers might be used in several threads. Stateless serializers are inherently thread-safe while stateful serializers might not be thread-safe.
duplicate
in class ArrayDataSerializer
public TypeSerializerSnapshot<ArrayData> snapshotConfiguration()
TypeSerializer
The snapshot of the TypeSerializer is supposed to contain all information that affects the serialization format of the serializer. The snapshot serves two purposes: First, to reproduce the serializer when the checkpoint/savepoint is restored, and second, to check whether the serialization format is compatible with the serializer used in the restored program.
IMPORTANT: TypeSerializerSnapshots changed after Flink 1.6. Serializers implemented against Flink versions up to 1.6 should still work, but adjust to new model to enable state evolution and be future-proof. See the class-level comments, section "Upgrading TypeSerializers to the new TypeSerializerSnapshot model" for details.
snapshotConfiguration
in class ArrayDataSerializer
null
).TypeSerializerSnapshot.resolveSchemaCompatibility(TypeSerializerSnapshot)
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