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io.deephaven.kafka.ProtobufImpl Maven / Gradle / Ivy
//
// Copyright (c) 2016-2024 Deephaven Data Labs and Patent Pending
//
package io.deephaven.kafka;
import com.google.protobuf.Descriptors.Descriptor;
import com.google.protobuf.DynamicMessage;
import com.google.protobuf.Message;
import com.google.protobuf.Parser;
import io.confluent.kafka.schemaregistry.SchemaProvider;
import io.confluent.kafka.schemaregistry.client.SchemaMetadata;
import io.confluent.kafka.schemaregistry.client.SchemaRegistryClient;
import io.confluent.kafka.schemaregistry.client.rest.exceptions.RestClientException;
import io.confluent.kafka.schemaregistry.protobuf.ProtobufSchema;
import io.confluent.kafka.schemaregistry.protobuf.ProtobufSchemaProvider;
import io.deephaven.UncheckedDeephavenException;
import io.deephaven.api.ColumnName;
import io.deephaven.engine.table.ColumnDefinition;
import io.deephaven.engine.table.TableDefinition;
import io.deephaven.function.ToObjectFunction;
import io.deephaven.function.ToPrimitiveFunction;
import io.deephaven.function.TypedFunction;
import io.deephaven.kafka.KafkaTools.Consume;
import io.deephaven.kafka.KafkaTools.KeyOrValue;
import io.deephaven.kafka.KafkaTools.KeyOrValueIngestData;
import io.deephaven.kafka.ingest.FieldCopier;
import io.deephaven.kafka.ingest.FieldCopierAdapter;
import io.deephaven.kafka.ingest.KeyOrValueProcessor;
import io.deephaven.kafka.ingest.MultiFieldChunkAdapter;
import io.deephaven.kafka.protobuf.DescriptorMessageClass;
import io.deephaven.kafka.protobuf.DescriptorProvider;
import io.deephaven.kafka.protobuf.DescriptorSchemaRegistry;
import io.deephaven.kafka.protobuf.ProtobufConsumeOptions;
import io.deephaven.kafka.protobuf.ProtobufConsumeOptions.FieldPathToColumnName;
import io.deephaven.protobuf.FieldPath;
import io.deephaven.protobuf.ProtobufDescriptorParser;
import io.deephaven.protobuf.ProtobufDescriptorParserOptions;
import io.deephaven.protobuf.ProtobufFunction;
import io.deephaven.protobuf.ProtobufFunctions;
import io.deephaven.protobuf.ProtobufFunctions.Builder;
import io.deephaven.qst.type.Type;
import io.deephaven.util.annotations.VisibleForTesting;
import io.deephaven.util.mutable.MutableInt;
import org.apache.kafka.common.serialization.Deserializer;
import java.io.IOException;
import java.lang.reflect.InvocationTargetException;
import java.lang.reflect.Method;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.Optional;
/**
* This layer builds on top of {@link ProtobufDescriptorParser#parse(Descriptor, ProtobufDescriptorParserOptions)} by
* further transforming the functions according to {@link #withMostAppropriateType(TypedFunction)}, and then further
* adapting the functions to ensure they work for the expected chunk types {@link ToChunkTypeTransform}. This layer is
* also responsible for managing schema changes; in essence, ensuring that newly
* {@link ProtobufDescriptorParser#parse(Descriptor, ProtobufDescriptorParserOptions) parsed} {@link Descriptor
* descriptor} {@link TypedFunction functions} can be adapted into the original function type.
*/
class ProtobufImpl {
@VisibleForTesting
static ProtobufFunctions simple(Descriptor descriptor, ProtobufDescriptorParserOptions options) {
return withMostAppropriateType(ProtobufDescriptorParser.parse(descriptor, options));
}
static final class ProtobufConsumeImpl extends Consume.KeyOrValueSpec {
private static final ToObjectFunction PROTOBUF_MESSAGE_OBJ =
ToObjectFunction.identity(Type.ofCustom(Message.class));
private final ProtobufConsumeOptions specs;
private Descriptor descriptor;
ProtobufConsumeImpl(ProtobufConsumeOptions specs) {
this.specs = Objects.requireNonNull(specs);
}
@Override
public Optional getSchemaProvider() {
return specs.descriptorProvider() instanceof DescriptorSchemaRegistry
? Optional.of(new ProtobufSchemaProvider())
: Optional.empty();
}
@Override
protected Deserializer extends Message> getDeserializer(
KeyOrValue keyOrValue,
SchemaRegistryClient schemaRegistryClient,
Map configs) {
final DescriptorProvider dp = specs.descriptorProvider();
if (dp instanceof DescriptorMessageClass) {
setDescriptor((DescriptorMessageClass>) dp);
return deserializer((DescriptorMessageClass>) dp);
}
if (dp instanceof DescriptorSchemaRegistry) {
setDescriptor(schemaRegistryClient, (DescriptorSchemaRegistry) dp);
return deserializer((DescriptorSchemaRegistry) dp);
}
throw new IllegalStateException("Unexpected descriptor provider: " + dp);
}
private void setDescriptor(DescriptorMessageClass> dmc) {
try {
descriptor = descriptor(dmc.clazz());
} catch (NoSuchMethodException | InvocationTargetException | IllegalAccessException e) {
throw new UncheckedDeephavenException(e);
}
}
private void setDescriptor(SchemaRegistryClient schemaRegistryClient, DescriptorSchemaRegistry dsr) {
try {
descriptor = descriptor(schemaRegistryClient, dsr);
} catch (RestClientException | IOException e) {
throw new UncheckedDeephavenException(e);
}
}
private Deserializer extends Message> deserializer(DescriptorMessageClass> dmc) {
final Parser extends Message> parser;
try {
parser = parser(dmc.clazz());
} catch (NoSuchMethodException | InvocationTargetException | IllegalAccessException e) {
throw new UncheckedDeephavenException(e);
}
return ProtobufDeserializers.of(specs.protocol(), parser);
}
private Deserializer deserializer(@SuppressWarnings("unused") DescriptorSchemaRegistry dsr) {
// Note: taking in an unused DescriptorSchemaRegistry to re-enforce that this path should only be used in
// the case where we are getting a the descriptor from the schema registry.
return ProtobufDeserializers.of(specs.protocol(), descriptor);
}
@Override
protected KeyOrValueIngestData getIngestData(
KeyOrValue keyOrValue,
SchemaRegistryClient schemaRegistryClient,
Map configs,
MutableInt nextColumnIndexMut,
List> columnDefinitionsOut) {
// Given our deserializer setup above, we are guaranteeing that all returned messages will have the exact
// same descriptor. This simplifies the logic we need to construct appropriate ProtobufFunctions.
final ProtobufFunctions functions = simple(descriptor, specs.parserOptions());
final List fieldCopiers = new ArrayList<>(functions.functions().size());
final KeyOrValueIngestData data = new KeyOrValueIngestData();
data.fieldPathToColumnName = new LinkedHashMap<>();
final FieldPathToColumnName fieldPathToColumnName = specs.pathToColumnName();
final Map indices = new HashMap<>();
for (ProtobufFunction f : functions.functions()) {
final int ix = indices.compute(f.path(), (fieldPath, i) -> i == null ? 0 : i + 1);
final ColumnName columnName = fieldPathToColumnName.columnName(f.path(), ix);
add(columnName, f.function(), data, columnDefinitionsOut, fieldCopiers);
}
// we don't have enough info at this time to create KeyOrValueProcessorImpl
// data.extra = new KeyOrValueProcessorImpl(MultiFieldChunkAdapter.chunkOffsets(null, null), fieldCopiers,
// false);
data.extra = fieldCopiers;
return data;
}
private void add(
ColumnName columnName,
TypedFunction function,
KeyOrValueIngestData data,
List> columnDefinitionsOut,
List fieldCopiersOut) {
data.fieldPathToColumnName.put(columnName.name(), columnName.name());
columnDefinitionsOut.add(ColumnDefinition.of(columnName.name(), function.returnType()));
fieldCopiersOut.add(FieldCopierAdapter.of(PROTOBUF_MESSAGE_OBJ.map(ToChunkTypeTransform.of(function))));
}
@Override
protected KeyOrValueProcessor getProcessor(TableDefinition tableDef, KeyOrValueIngestData data) {
// noinspection unchecked
return new KeyOrValueProcessorImpl(
MultiFieldChunkAdapter.chunkOffsets(tableDef, data.fieldPathToColumnName),
(List) data.extra, false);
}
}
private static ProtobufFunctions withMostAppropriateType(ProtobufFunctions functions) {
final Builder builder = ProtobufFunctions.builder();
for (ProtobufFunction f : functions.functions()) {
builder.addFunctions(ProtobufFunction.of(f.path(), withMostAppropriateType(f.function())));
}
return builder.build();
}
/**
* Adapts {@code f} to the most appropriate Deephaven equivalent / nullable type.
*
*
* boolean -> Boolean
* Byte -> byte
* Character -> char
* Short -> short
* Integer -> int
* Long -> long
* Float -> float
* Double -> double
*
*/
private static TypedFunction withMostAppropriateType(TypedFunction f) {
final TypedFunction f2 = DhNullableTypeTransform.of(f);
final ToPrimitiveFunction unboxed = UnboxTransform.of(f2).orElse(null);
return unboxed != null ? unboxed : f2;
}
private static Descriptor descriptor(Class extends Message> clazz)
throws NoSuchMethodException, InvocationTargetException, IllegalAccessException {
final Method getDescriptor = clazz.getMethod("getDescriptor");
return (Descriptor) getDescriptor.invoke(null);
}
private static Descriptor descriptor(SchemaRegistryClient registry, DescriptorSchemaRegistry dsr)
throws RestClientException, IOException {
final SchemaMetadata metadata = dsr.version().isPresent()
? registry.getSchemaMetadata(dsr.subject(), dsr.version().getAsInt())
: registry.getLatestSchemaMetadata(dsr.subject());
if (!ProtobufSchema.TYPE.equals(metadata.getSchemaType())) {
throw new IllegalStateException(String.format("Expected schema type %s but was %s", ProtobufSchema.TYPE,
metadata.getSchemaType()));
}
final ProtobufSchema protobufSchema = (ProtobufSchema) registry
.getSchemaBySubjectAndId(dsr.subject(), metadata.getId());
// The potential need to set io.deephaven.kafka.protobuf.DescriptorSchemaRegistry#messageName
// seems unfortunate; I'm surprised the information is not part of the kafka serdes protocol.
// Maybe it's so that a single schema can be used, and different topics with different root messages can
// all share that common schema?
return dsr.messageName().isPresent()
? protobufSchema.toDescriptor(dsr.messageName().get())
: protobufSchema.toDescriptor();
}
private static Parser parser(Class clazz)
throws NoSuchMethodException, InvocationTargetException, IllegalAccessException {
final Method parser = clazz.getMethod("parser");
// noinspection unchecked
return (Parser) parser.invoke(null);
}
}