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io.trino.plugin.kafka.KafkaRecordSet Maven / Gradle / Ivy
/*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package io.trino.plugin.kafka;
import com.google.common.collect.ArrayListMultimap;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.Multimap;
import io.airlift.slice.Slice;
import io.trino.decoder.DecoderColumnHandle;
import io.trino.decoder.FieldValueProvider;
import io.trino.decoder.RowDecoder;
import io.trino.spi.block.ArrayBlockBuilder;
import io.trino.spi.block.SqlMap;
import io.trino.spi.connector.ColumnHandle;
import io.trino.spi.connector.ConnectorSession;
import io.trino.spi.connector.RecordCursor;
import io.trino.spi.connector.RecordSet;
import io.trino.spi.type.MapType;
import io.trino.spi.type.Type;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.header.Header;
import org.apache.kafka.common.header.Headers;
import java.time.Duration;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.collect.ImmutableList.toImmutableList;
import static io.trino.decoder.FieldValueProviders.booleanValueProvider;
import static io.trino.decoder.FieldValueProviders.bytesValueProvider;
import static io.trino.decoder.FieldValueProviders.longValueProvider;
import static io.trino.spi.block.MapValueBuilder.buildMapValue;
import static io.trino.spi.type.Timestamps.MICROSECONDS_PER_MILLISECOND;
import static io.trino.spi.type.TypeUtils.writeNativeValue;
import static java.lang.Math.max;
import static java.util.Collections.emptyIterator;
import static java.util.Objects.requireNonNull;
import static java.util.function.Function.identity;
import static java.util.stream.Collectors.toMap;
public class KafkaRecordSet
implements RecordSet
{
private static final byte[] EMPTY_BYTE_ARRAY = new byte[0];
private static final int CONSUMER_POLL_TIMEOUT = 100;
private final KafkaSplit split;
private final KafkaConsumerFactory consumerFactory;
private final ConnectorSession connectorSession;
private final RowDecoder keyDecoder;
private final RowDecoder messageDecoder;
private final KafkaInternalFieldManager kafkaInternalFieldManager;
private final List columnHandles;
private final List columnTypes;
KafkaRecordSet(
KafkaSplit split,
KafkaConsumerFactory consumerFactory,
ConnectorSession connectorSession,
List columnHandles,
RowDecoder keyDecoder,
RowDecoder messageDecoder,
KafkaInternalFieldManager kafkaInternalFieldManager)
{
this.split = requireNonNull(split, "split is null");
this.consumerFactory = requireNonNull(consumerFactory, "consumerFactory is null");
this.connectorSession = requireNonNull(connectorSession, "connectorSession is null");
this.keyDecoder = requireNonNull(keyDecoder, "keyDecoder is null");
this.messageDecoder = requireNonNull(messageDecoder, "messageDecoder is null");
this.columnHandles = requireNonNull(columnHandles, "columnHandles is null");
this.kafkaInternalFieldManager = requireNonNull(kafkaInternalFieldManager, "kafkaInternalFieldManager is null");
this.columnTypes = columnHandles.stream()
.map(KafkaColumnHandle::getType)
.collect(toImmutableList());
}
@Override
public List getColumnTypes()
{
return columnTypes;
}
@Override
public RecordCursor cursor()
{
return new KafkaRecordCursor();
}
private class KafkaRecordCursor
implements RecordCursor
{
private final TopicPartition topicPartition;
private final KafkaConsumer kafkaConsumer;
private Iterator> records = emptyIterator();
private long completedBytes;
private final FieldValueProvider[] currentRowValues = new FieldValueProvider[columnHandles.size()];
private KafkaRecordCursor()
{
topicPartition = new TopicPartition(split.getTopicName(), split.getPartitionId());
kafkaConsumer = consumerFactory.create(connectorSession);
kafkaConsumer.assign(ImmutableList.of(topicPartition));
kafkaConsumer.seek(topicPartition, split.getMessagesRange().begin());
}
@Override
public long getCompletedBytes()
{
return completedBytes;
}
@Override
public long getReadTimeNanos()
{
return 0;
}
@Override
public Type getType(int field)
{
checkArgument(field < columnHandles.size(), "Invalid field index");
return columnHandles.get(field).getType();
}
@Override
public boolean advanceNextPosition()
{
if (records.hasNext()) {
return nextRow(records.next());
}
if (kafkaConsumer.position(topicPartition) >= split.getMessagesRange().end()) {
return false;
}
records = kafkaConsumer.poll(Duration.ofMillis(CONSUMER_POLL_TIMEOUT)).iterator();
return advanceNextPosition();
}
private boolean nextRow(ConsumerRecord message)
{
requireNonNull(message, "message is null");
if (message.offset() >= split.getMessagesRange().end()) {
return false;
}
completedBytes += max(message.serializedKeySize(), 0) + max(message.serializedValueSize(), 0);
byte[] keyData = message.key() == null ? EMPTY_BYTE_ARRAY : message.key();
byte[] messageData = message.value() == null ? EMPTY_BYTE_ARRAY : message.value();
long timeStamp = message.timestamp() * MICROSECONDS_PER_MILLISECOND;
Optional> decodedKey = keyDecoder.decodeRow(keyData);
// tombstone message has null value body
Optional> decodedValue = message.value() == null ? Optional.empty() : messageDecoder.decodeRow(messageData);
Map currentRowValuesMap = columnHandles.stream()
.filter(KafkaColumnHandle::isInternal)
.collect(toMap(identity(), columnHandle -> switch (getInternalFieldId(columnHandle)) {
case PARTITION_OFFSET_FIELD -> longValueProvider(message.offset());
case MESSAGE_FIELD -> bytesValueProvider(messageData);
case MESSAGE_LENGTH_FIELD -> longValueProvider(messageData.length);
case KEY_FIELD -> bytesValueProvider(keyData);
case KEY_LENGTH_FIELD -> longValueProvider(keyData.length);
case OFFSET_TIMESTAMP_FIELD -> longValueProvider(timeStamp);
case KEY_CORRUPT_FIELD -> booleanValueProvider(decodedKey.isEmpty());
case HEADERS_FIELD -> headerMapValueProvider((MapType) columnHandle.getType(), message.headers());
case MESSAGE_CORRUPT_FIELD -> booleanValueProvider(decodedValue.isEmpty());
case PARTITION_ID_FIELD -> longValueProvider(message.partition());
}));
decodedKey.ifPresent(currentRowValuesMap::putAll);
decodedValue.ifPresent(currentRowValuesMap::putAll);
for (int i = 0; i < columnHandles.size(); i++) {
ColumnHandle columnHandle = columnHandles.get(i);
currentRowValues[i] = currentRowValuesMap.get(columnHandle);
}
return true; // Advanced successfully.
}
private KafkaInternalFieldManager.InternalFieldId getInternalFieldId(KafkaColumnHandle columnHandle)
{
return kafkaInternalFieldManager.getFieldByName(columnHandle.getName()).getInternalFieldId();
}
@Override
public boolean getBoolean(int field)
{
return getFieldValueProvider(field, boolean.class).getBoolean();
}
@Override
public long getLong(int field)
{
return getFieldValueProvider(field, long.class).getLong();
}
@Override
public double getDouble(int field)
{
return getFieldValueProvider(field, double.class).getDouble();
}
@Override
public Slice getSlice(int field)
{
return getFieldValueProvider(field, Slice.class).getSlice();
}
@Override
public Object getObject(int field)
{
return getFieldValueProvider(field, Object.class).getObject();
}
@Override
public boolean isNull(int field)
{
checkArgument(field < columnHandles.size(), "Invalid field index");
return currentRowValues[field] == null || currentRowValues[field].isNull();
}
private FieldValueProvider getFieldValueProvider(int field, Class expectedType)
{
checkArgument(field < columnHandles.size(), "Invalid field index");
checkFieldType(field, expectedType);
return currentRowValues[field];
}
private void checkFieldType(int field, Class expected)
{
Class actual = getType(field).getJavaType();
checkArgument(expected.isAssignableFrom(actual), "Expected field %s to be type %s but is %s", field, expected, actual);
}
@Override
public void close()
{
kafkaConsumer.close();
}
}
public static FieldValueProvider headerMapValueProvider(MapType varcharMapType, Headers headers)
{
Type keyType = varcharMapType.getTypeParameters().get(0);
Type valueArrayType = varcharMapType.getTypeParameters().get(1);
Type valueType = valueArrayType.getTypeParameters().get(0);
// Group by keys and collect values as array.
Multimap headerMap = ArrayListMultimap.create();
for (Header header : headers) {
headerMap.put(header.key(), header.value());
}
SqlMap map = buildMapValue(
varcharMapType,
headerMap.size(),
(keyBuilder, valueBuilder) -> {
for (String headerKey : headerMap.keySet()) {
writeNativeValue(keyType, keyBuilder, headerKey);
((ArrayBlockBuilder) valueBuilder).buildEntry(elementBuilder -> {
for (byte[] value : headerMap.get(headerKey)) {
writeNativeValue(valueType, elementBuilder, value);
}
});
}
});
return new FieldValueProvider()
{
@Override
public boolean isNull()
{
return false;
}
@Override
public SqlMap getObject()
{
return map;
}
};
}
}
