/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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 org.apache.drill.exec.physical.impl.unorderedreceiver;
import io.netty.buffer.ByteBuf;
import java.io.IOException;
import java.util.Iterator;
import org.apache.drill.common.expression.SchemaPath;
import org.apache.drill.exec.exception.SchemaChangeException;
import org.apache.drill.exec.memory.OutOfMemoryException;
import org.apache.drill.exec.ops.FragmentContext;
import org.apache.drill.exec.ops.MetricDef;
import org.apache.drill.exec.ops.OperatorContext;
import org.apache.drill.exec.ops.OperatorStats;
import org.apache.drill.exec.ops.OpProfileDef;
import org.apache.drill.exec.physical.config.UnorderedReceiver;
import org.apache.drill.exec.proto.BitControl.FinishedReceiver;
import org.apache.drill.exec.proto.ExecProtos.FragmentHandle;
import org.apache.drill.exec.proto.GeneralRPCProtos.Ack;
import org.apache.drill.exec.proto.UserBitShared.RecordBatchDef;
import org.apache.drill.exec.record.BatchSchema;
import org.apache.drill.exec.record.RawFragmentBatch;
import org.apache.drill.exec.record.RawFragmentBatchProvider;
import org.apache.drill.exec.record.RecordBatch;
import org.apache.drill.exec.record.RecordBatchLoader;
import org.apache.drill.exec.record.TypedFieldId;
import org.apache.drill.exec.record.VectorContainer;
import org.apache.drill.exec.record.VectorWrapper;
import org.apache.drill.exec.record.WritableBatch;
import org.apache.drill.exec.record.selection.SelectionVector2;
import org.apache.drill.exec.record.selection.SelectionVector4;
import org.apache.drill.exec.rpc.RpcException;
import org.apache.drill.exec.rpc.RpcOutcomeListener;
public class UnorderedReceiverBatch implements RecordBatch {
static final org.slf4j.Logger logger = org.slf4j.LoggerFactory.getLogger(UnorderedReceiverBatch.class);
private RecordBatchLoader batchLoader;
private RawFragmentBatchProvider fragProvider;
private FragmentContext context;
private BatchSchema schema;
private OperatorStats stats;
private boolean first = true;
private UnorderedReceiver config;
OperatorContext oContext;
public enum Metric implements MetricDef {
BYTES_RECEIVED,
NUM_SENDERS;
@Override
public int metricId() {
return ordinal();
}
}
public UnorderedReceiverBatch(FragmentContext context, RawFragmentBatchProvider fragProvider, UnorderedReceiver config) throws OutOfMemoryException {
this.fragProvider = fragProvider;
this.context = context;
// In normal case, batchLoader does not require an allocator. However, in case of splitAndTransfer of a value vector,
// we may need an allocator for the new offset vector. Therefore, here we pass the context's allocator to batchLoader.
oContext = new OperatorContext(config, context, false);
this.batchLoader = new RecordBatchLoader(oContext.getAllocator());
this.stats = context.getStats().getOperatorStats(new OpProfileDef(config.getOperatorId(), config.getOperatorType(), 1), null);
this.stats.setLongStat(Metric.NUM_SENDERS, config.getNumSenders());
this.config = config;
}
@Override
public FragmentContext getContext() {
return context;
}
@Override
public BatchSchema getSchema() {
return schema;
}
@Override
public IterOutcome buildSchema() throws SchemaChangeException {
return next();
}
@Override
public int getRecordCount() {
return batchLoader.getRecordCount();
}
@Override
public void kill(boolean sendUpstream) {
if (sendUpstream) {
informSenders();
} else {
fragProvider.kill(context);
}
}
@Override
public Iterator<VectorWrapper<?>> iterator() {
return batchLoader.iterator();
}
@Override
public SelectionVector2 getSelectionVector2() {
throw new UnsupportedOperationException();
}
@Override
public SelectionVector4 getSelectionVector4() {
throw new UnsupportedOperationException();
}
@Override
public TypedFieldId getValueVectorId(SchemaPath path) {
return batchLoader.getValueVectorId(path);
}
@Override
public VectorWrapper<?> getValueAccessorById(Class<?> clazz, int... ids) {
return batchLoader.getValueAccessorById(clazz, ids);
}
@Override
public IterOutcome next() {
stats.startProcessing();
try{
RawFragmentBatch batch;
try {
stats.startWait();
batch = fragProvider.getNext();
// skip over empty batches. we do this since these are basically control messages.
while (batch != null && !batch.getHeader().getIsOutOfMemory() && batch.getHeader().getDef().getRecordCount() == 0 && !first) {
batch = fragProvider.getNext();
}
} finally {
stats.stopWait();
}
first = false;
if (batch == null) {
batchLoader.clear();
if (context.isCancelled()) {
return IterOutcome.STOP;
}
return IterOutcome.NONE;
}
if (batch.getHeader().getIsOutOfMemory()) {
return IterOutcome.OUT_OF_MEMORY;
}
// logger.debug("Next received batch {}", batch);
RecordBatchDef rbd = batch.getHeader().getDef();
boolean schemaChanged = batchLoader.load(rbd, batch.getBody());
stats.addLongStat(Metric.BYTES_RECEIVED, batch.getByteCount());
batch.release();
if(schemaChanged) {
this.schema = batchLoader.getSchema();
stats.batchReceived(0, rbd.getRecordCount(), true);
return IterOutcome.OK_NEW_SCHEMA;
} else {
stats.batchReceived(0, rbd.getRecordCount(), false);
return IterOutcome.OK;
}
} catch(SchemaChangeException | IOException ex) {
context.fail(ex);
return IterOutcome.STOP;
} finally {
stats.stopProcessing();
}
}
@Override
public WritableBatch getWritableBatch() {
return batchLoader.getWritableBatch();
}
@Override
public void cleanup() {
batchLoader.clear();
fragProvider.cleanup();
oContext.close();
}
@Override
public VectorContainer getOutgoingContainer() {
throw new UnsupportedOperationException(String.format(" You should not call getOutgoingContainer() for class %s", this.getClass().getCanonicalName()));
}
private void informSenders() {
FragmentHandle handlePrototype = FragmentHandle.newBuilder()
.setMajorFragmentId(config.getOppositeMajorFragmentId())
.setQueryId(context.getHandle().getQueryId())
.build();
for (int i = 0; i < config.getNumSenders(); i++) {
FragmentHandle sender = FragmentHandle.newBuilder(handlePrototype)
.setMinorFragmentId(i)
.build();
FinishedReceiver finishedReceiver = FinishedReceiver.newBuilder()
.setReceiver(context.getHandle())
.setSender(sender)
.build();
context.getControlTunnel(config.getProvidingEndpoints().get(i)).informReceiverFinished(new OutcomeListener(), finishedReceiver);
}
}
private class OutcomeListener implements RpcOutcomeListener<Ack> {
@Override
public void failed(RpcException ex) {
logger.warn("Failed to inform upstream that receiver is finished");
}
@Override
public void success(Ack value, ByteBuf buffer) {
// Do nothing
}
}
}