Skip to content

Commit

Permalink
[flink] Replace legacy SourceFunction with v2 Source
Browse files Browse the repository at this point in the history
  • Loading branch information
yunfengzhou-hub committed Nov 23, 2024
1 parent cfdc6d6 commit 0361ae7
Show file tree
Hide file tree
Showing 43 changed files with 2,831 additions and 735 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -77,12 +77,12 @@
* pass the watermark recorded in the snapshot.
* </ol>
*/
public class MonitorFunction extends RichSourceFunction<Split>
public class MonitorSource extends RichSourceFunction<Split>
implements CheckpointedFunction, CheckpointListener {

private static final long serialVersionUID = 1L;

private static final Logger LOG = LoggerFactory.getLogger(MonitorFunction.class);
private static final Logger LOG = LoggerFactory.getLogger(MonitorSource.class);

private final ReadBuilder readBuilder;
private final long monitorInterval;
Expand All @@ -97,7 +97,7 @@ public class MonitorFunction extends RichSourceFunction<Split>
private transient ListState<Tuple2<Long, Long>> nextSnapshotState;
private transient TreeMap<Long, Long> nextSnapshotPerCheckpoint;

public MonitorFunction(
public MonitorSource(
ReadBuilder readBuilder, long monitorInterval, boolean emitSnapshotWatermark) {
this.readBuilder = readBuilder;
this.monitorInterval = monitorInterval;
Expand Down Expand Up @@ -238,7 +238,7 @@ public static DataStream<RowData> buildSource(
BucketMode bucketMode) {
SingleOutputStreamOperator<Split> singleOutputStreamOperator =
env.addSource(
new MonitorFunction(
new MonitorSource(
readBuilder, monitorInterval, emitSnapshotWatermark),
name + "-Monitor",
new JavaTypeInfo<>(Split.class))
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,277 @@
/*
* 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.paimon.flink.source.operator;

import org.apache.paimon.flink.utils.JavaTypeInfo;
import org.apache.paimon.table.BucketMode;
import org.apache.paimon.table.sink.ChannelComputer;
import org.apache.paimon.table.source.DataSplit;
import org.apache.paimon.table.source.EndOfScanException;
import org.apache.paimon.table.source.ReadBuilder;
import org.apache.paimon.table.source.Split;
import org.apache.paimon.table.source.StreamTableScan;

import org.apache.flink.api.common.state.CheckpointListener;
import org.apache.flink.api.common.state.ListState;
import org.apache.flink.api.common.state.ListStateDescriptor;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.common.typeutils.TypeSerializer;
import org.apache.flink.api.common.typeutils.base.LongSerializer;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.typeutils.runtime.TupleSerializer;
import org.apache.flink.runtime.state.FunctionInitializationContext;
import org.apache.flink.runtime.state.FunctionSnapshotContext;
import org.apache.flink.streaming.api.checkpoint.CheckpointedFunction;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.RichSourceFunction;
import org.apache.flink.streaming.api.watermark.Watermark;
import org.apache.flink.table.data.RowData;
import org.apache.flink.util.Preconditions;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.ArrayList;
import java.util.List;
import java.util.NavigableMap;
import java.util.OptionalLong;
import java.util.TreeMap;

import static org.apache.paimon.table.BucketMode.BUCKET_UNAWARE;

/**
* This is the single (non-parallel) monitoring task, it is responsible for:
*
* <ol>
* <li>Monitoring snapshots of the Paimon table.
* <li>Creating the {@link Split splits} corresponding to the incremental files
* <li>Assigning them to downstream tasks for further processing.
* </ol>
*
* <p>The splits to be read are forwarded to the downstream {@link ReadOperator} which can have
* parallelism greater than one.
*
* <p>Currently, there are two features that rely on this monitor:
*
* <ol>
* <li>Consumer-id: rely on this function to do aligned snapshot consumption, and ensure that all
* data in a snapshot is consumed within each checkpoint.
* <li>Snapshot-watermark: when there is no watermark definition, the default Paimon table will
* pass the watermark recorded in the snapshot.
* </ol>
*/
public class MonitorSource extends RichSourceFunction<Split>
implements CheckpointedFunction, CheckpointListener {

private static final long serialVersionUID = 1L;

private static final Logger LOG = LoggerFactory.getLogger(MonitorSource.class);

private final ReadBuilder readBuilder;
private final long monitorInterval;
private final boolean emitSnapshotWatermark;

private volatile boolean isRunning = true;

private transient StreamTableScan scan;
private transient SourceContext<Split> ctx;

private transient ListState<Long> checkpointState;
private transient ListState<Tuple2<Long, Long>> nextSnapshotState;
private transient TreeMap<Long, Long> nextSnapshotPerCheckpoint;

public MonitorSource(
ReadBuilder readBuilder, long monitorInterval, boolean emitSnapshotWatermark) {
this.readBuilder = readBuilder;
this.monitorInterval = monitorInterval;
this.emitSnapshotWatermark = emitSnapshotWatermark;
}

@Override
public void initializeState(FunctionInitializationContext context) throws Exception {
this.scan = readBuilder.newStreamScan();

this.checkpointState =
context.getOperatorStateStore()
.getListState(
new ListStateDescriptor<>(
"next-snapshot", LongSerializer.INSTANCE));

@SuppressWarnings("unchecked")
final Class<Tuple2<Long, Long>> typedTuple =
(Class<Tuple2<Long, Long>>) (Class<?>) Tuple2.class;
this.nextSnapshotState =
context.getOperatorStateStore()
.getListState(
new ListStateDescriptor<>(
"next-snapshot-per-checkpoint",
new TupleSerializer<>(
typedTuple,
new TypeSerializer[] {
LongSerializer.INSTANCE, LongSerializer.INSTANCE
})));

this.nextSnapshotPerCheckpoint = new TreeMap<>();

if (context.isRestored()) {
LOG.info("Restoring state for the {}.", getClass().getSimpleName());

List<Long> retrievedStates = new ArrayList<>();
for (Long entry : this.checkpointState.get()) {
retrievedStates.add(entry);
}

// given that the parallelism of the function is 1, we can only have 1 retrieved items.
Preconditions.checkArgument(
retrievedStates.size() <= 1,
getClass().getSimpleName() + " retrieved invalid state.");

if (retrievedStates.size() == 1) {
this.scan.restore(retrievedStates.get(0));
}

for (Tuple2<Long, Long> tuple2 : nextSnapshotState.get()) {
nextSnapshotPerCheckpoint.put(tuple2.f0, tuple2.f1);
}
} else {
LOG.info("No state to restore for the {}.", getClass().getSimpleName());
}
}

@Override
public void snapshotState(FunctionSnapshotContext ctx) throws Exception {
this.checkpointState.clear();
Long nextSnapshot = this.scan.checkpoint();
if (nextSnapshot != null) {
this.checkpointState.add(nextSnapshot);
this.nextSnapshotPerCheckpoint.put(ctx.getCheckpointId(), nextSnapshot);
}

List<Tuple2<Long, Long>> nextSnapshots = new ArrayList<>();
this.nextSnapshotPerCheckpoint.forEach((k, v) -> nextSnapshots.add(new Tuple2<>(k, v)));
this.nextSnapshotState.update(nextSnapshots);

if (LOG.isDebugEnabled()) {
LOG.debug("{} checkpoint {}.", getClass().getSimpleName(), nextSnapshot);
}
}

@SuppressWarnings("BusyWait")
@Override
public void run(SourceContext<Split> ctx) throws Exception {
this.ctx = ctx;
while (isRunning) {
boolean isEmpty;
synchronized (ctx.getCheckpointLock()) {
if (!isRunning) {
return;
}
try {
List<Split> splits = scan.plan().splits();
isEmpty = splits.isEmpty();
splits.forEach(ctx::collect);

if (emitSnapshotWatermark) {
Long watermark = scan.watermark();
if (watermark != null) {
ctx.emitWatermark(new Watermark(watermark));
}
}
} catch (EndOfScanException esf) {
LOG.info("Catching EndOfStreamException, the stream is finished.");
return;
}
}

if (isEmpty) {
Thread.sleep(monitorInterval);
}
}
}

@Override
public void notifyCheckpointComplete(long checkpointId) {
NavigableMap<Long, Long> nextSnapshots =
nextSnapshotPerCheckpoint.headMap(checkpointId, true);
OptionalLong max = nextSnapshots.values().stream().mapToLong(Long::longValue).max();
max.ifPresent(scan::notifyCheckpointComplete);
nextSnapshots.clear();
}

@Override
public void cancel() {
// this is to cover the case where cancel() is called before the run()
if (ctx != null) {
synchronized (ctx.getCheckpointLock()) {
isRunning = false;
}
} else {
isRunning = false;
}
}

public static DataStream<RowData> buildSource(
StreamExecutionEnvironment env,
String name,
TypeInformation<RowData> typeInfo,
ReadBuilder readBuilder,
long monitorInterval,
boolean emitSnapshotWatermark,
boolean shuffleBucketWithPartition,
BucketMode bucketMode) {
SingleOutputStreamOperator<Split> singleOutputStreamOperator =
env.addSource(
new MonitorSource(
readBuilder, monitorInterval, emitSnapshotWatermark),
name + "-Monitor",
new JavaTypeInfo<>(Split.class))
.forceNonParallel();

DataStream<Split> sourceDataStream =
bucketMode == BUCKET_UNAWARE
? shuffleUnwareBucket(singleOutputStreamOperator)
: shuffleNonUnwareBucket(
singleOutputStreamOperator, shuffleBucketWithPartition);

return sourceDataStream.transform(
name + "-Reader", typeInfo, new ReadOperator(readBuilder));
}

private static DataStream<Split> shuffleUnwareBucket(
SingleOutputStreamOperator<Split> singleOutputStreamOperator) {
return singleOutputStreamOperator.rebalance();
}

private static DataStream<Split> shuffleNonUnwareBucket(
SingleOutputStreamOperator<Split> singleOutputStreamOperator,
boolean shuffleBucketWithPartition) {
return singleOutputStreamOperator.partitionCustom(
(key, numPartitions) -> {
if (shuffleBucketWithPartition) {
return ChannelComputer.select(key.f0, key.f1, numPartitions);
}
return ChannelComputer.select(key.f1, numPartitions);
},
split -> {
DataSplit dataSplit = (DataSplit) split;
return Tuple2.of(dataSplit.partition(), dataSplit.bucket());
});
}
}
Loading

0 comments on commit 0361ae7

Please sign in to comment.