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[HUDI-2040] Make flink writer as exactly-once by default (#3106)

This commit is contained in:
Danny Chan
2021-06-18 13:55:23 +08:00
committed by GitHub
parent aa6342c3c9
commit cdb9b48170
6 changed files with 23 additions and 60 deletions

View File

@@ -315,14 +315,6 @@ public class FlinkOptions {
.defaultValue(100) // default 100 MB
.withDescription("Max memory in MB for merge, default 100MB");
public static final ConfigOption<Boolean> WRITE_EXACTLY_ONCE_ENABLED = ConfigOptions
.key("write.exactly_once.enabled")
.booleanType()
.defaultValue(false) // default at least once
.withDescription("Whether write in exactly_once semantics, if true,\n"
+ "the write task would block flushing after it finishes a checkpoint\n"
+ "until it receives the checkpoint success event, default false");
// this is only for internal use
public static final ConfigOption<Long> WRITE_COMMIT_ACK_TIMEOUT = ConfigOptions
.key("write.commit.ack.timeout")

View File

@@ -37,7 +37,6 @@ import org.apache.hudi.table.action.commit.FlinkWriteHelper;
import org.apache.hudi.util.StreamerUtil;
import org.apache.flink.annotation.VisibleForTesting;
import org.apache.flink.api.common.state.CheckpointListener;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.runtime.operators.coordination.OperatorEventGateway;
import org.apache.flink.runtime.state.FunctionInitializationContext;
@@ -100,7 +99,7 @@ import java.util.stream.Collectors;
*/
public class StreamWriteFunction<K, I, O>
extends KeyedProcessFunction<K, I, O>
implements CheckpointedFunction, CheckpointListener {
implements CheckpointedFunction {
private static final long serialVersionUID = 1L;
@@ -148,11 +147,6 @@ public class StreamWriteFunction<K, I, O>
*/
private transient TotalSizeTracer tracer;
/**
* Whether write in exactly-once semantics.
*/
private boolean exactlyOnce;
/**
* Flag saying whether the write task is waiting for the checkpoint success notification
* after it finished a checkpoint.
@@ -186,7 +180,6 @@ public class StreamWriteFunction<K, I, O>
WriteOperationType.fromValue(config.getString(FlinkOptions.OPERATION)),
HoodieTableType.valueOf(config.getString(FlinkOptions.TABLE_TYPE)));
this.tracer = new TotalSizeTracer(this.config);
this.exactlyOnce = config.getBoolean(FlinkOptions.WRITE_EXACTLY_ONCE_ENABLED);
initBuffer();
initWriteFunction();
}
@@ -217,11 +210,6 @@ public class StreamWriteFunction<K, I, O>
}
}
@Override
public void notifyCheckpointComplete(long checkpointId) {
this.writeClient.cleanHandles();
}
/**
* End input action for batch source.
*/
@@ -502,7 +490,7 @@ public class StreamWriteFunction<K, I, O>
// if exactly-once semantics turns on,
// waits for the checkpoint notification until the checkpoint timeout threshold hits.
if (exactlyOnce && confirming) {
if (confirming) {
long waitingTime = 0L;
long ckpTimeout = config.getLong(FlinkOptions.WRITE_COMMIT_ACK_TIMEOUT);
long interval = 500L;
@@ -583,6 +571,7 @@ public class StreamWriteFunction<K, I, O>
this.eventGateway.sendEventToCoordinator(event);
this.buckets.clear();
this.tracer.reset();
this.writeClient.cleanHandles();
this.confirming = true;
}
}

View File

@@ -104,6 +104,11 @@ public class StreamWriteOperatorCoordinator
*/
private final int parallelism;
/**
* Whether to schedule asynchronous compaction task on finished checkpoints.
*/
private final boolean asyncCompaction;
/**
* A single-thread executor to handle all the asynchronous jobs of the coordinator.
*/
@@ -136,6 +141,7 @@ public class StreamWriteOperatorCoordinator
this.conf = conf;
this.context = context;
this.parallelism = context.currentParallelism();
this.asyncCompaction = StreamerUtil.needsAsyncCompaction(conf);
}
@Override
@@ -197,6 +203,10 @@ public class StreamWriteOperatorCoordinator
// so a successful checkpoint subsumes the old one(follows the checkpoint subsuming contract)
final boolean committed = commitInstant();
if (committed) {
// if async compaction is on, schedule the compaction
if (asyncCompaction) {
writeClient.scheduleCompaction(Option.empty());
}
// start new instant.
startInstant();
// sync Hive if is enabled

View File

@@ -21,13 +21,11 @@ package org.apache.hudi.sink.compact;
import org.apache.hudi.avro.model.HoodieCompactionPlan;
import org.apache.hudi.client.HoodieFlinkWriteClient;
import org.apache.hudi.common.model.CompactionOperation;
import org.apache.hudi.common.table.HoodieTableMetaClient;
import org.apache.hudi.common.table.timeline.HoodieInstant;
import org.apache.hudi.common.table.timeline.HoodieTimeline;
import org.apache.hudi.common.util.CompactionUtils;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.table.HoodieFlinkTable;
import org.apache.hudi.util.CompactionUtil;
import org.apache.hudi.util.StreamerUtil;
import org.apache.flink.annotation.VisibleForTesting;
@@ -92,17 +90,18 @@ public class CompactionPlanOperator extends AbstractStreamOperator<CompactionPla
}
private void scheduleCompaction(long checkpointId) throws IOException {
// if async compaction is on, schedule the compaction
HoodieTableMetaClient metaClient = CompactionUtil.createMetaClient(conf);
final String compactionInstantTime = CompactionUtil.getCompactionInstantTime(metaClient);
HoodieFlinkTable<?> table = writeClient.getHoodieTable();
boolean scheduled = writeClient.scheduleCompactionAtInstant(compactionInstantTime, Option.empty());
if (!scheduled) {
// the last instant takes the highest priority.
Option<HoodieInstant> lastRequested = table.getActiveTimeline().filterPendingCompactionTimeline()
.filter(instant -> instant.getState() == HoodieInstant.State.REQUESTED).lastInstant();
if (!lastRequested.isPresent()) {
// do nothing.
LOG.info("No compaction plan for checkpoint " + checkpointId);
return;
}
String compactionInstantTime = lastRequested.get().getTimestamp();
if (this.compactionInstantTime != null
&& Objects.equals(this.compactionInstantTime, compactionInstantTime)) {
// do nothing
@@ -110,7 +109,6 @@ public class CompactionPlanOperator extends AbstractStreamOperator<CompactionPla
return;
}
HoodieFlinkTable<?> table = writeClient.getHoodieTable();
// generate compaction plan
// should support configurable commit metadata
HoodieCompactionPlan compactionPlan = CompactionUtils.getCompactionPlan(
@@ -123,27 +121,13 @@ public class CompactionPlanOperator extends AbstractStreamOperator<CompactionPla
} else {
this.compactionInstantTime = compactionInstantTime;
HoodieInstant instant = HoodieTimeline.getCompactionRequestedInstant(compactionInstantTime);
HoodieTimeline pendingCompactionTimeline = table.getActiveTimeline().filterPendingCompactionTimeline();
if (!pendingCompactionTimeline.containsInstant(instant)) {
// this means that the compaction plan was written to auxiliary path(.tmp)
// but not the meta path(.hoodie), this usually happens when the job crush
// exceptionally.
// clean the compaction plan in auxiliary path and cancels the compaction.
LOG.warn("The compaction plan was fetched through the auxiliary path(.tmp) but not the meta path(.hoodie).\n"
+ "Clean the compaction plan in auxiliary path and cancels the compaction");
CompactionUtil.cleanInstant(table.getMetaClient(), instant);
return;
}
// Mark instant as compaction inflight
table.getActiveTimeline().transitionCompactionRequestedToInflight(instant);
table.getMetaClient().reloadActiveTimeline();
List<CompactionOperation> operations = compactionPlan.getOperations().stream()
.map(CompactionOperation::convertFromAvroRecordInstance).collect(toList());
LOG.info("CompactionPlanFunction compacting " + operations + " files");
LOG.info("CompactionPlanOperator compacting " + operations + " files");
for (CompactionOperation operation : operations) {
output.collect(new StreamRecord<>(new CompactionPlanEvent(compactionInstantTime, operation)));
}

View File

@@ -651,7 +651,6 @@ public class TestWriteCopyOnWrite {
@Test
public void testWriteExactlyOnce() throws Exception {
// reset the config option
conf.setBoolean(FlinkOptions.WRITE_EXACTLY_ONCE_ENABLED, true);
conf.setLong(FlinkOptions.WRITE_COMMIT_ACK_TIMEOUT, 3);
conf.setDouble(FlinkOptions.WRITE_TASK_MAX_SIZE, 200.0006); // 630 bytes buffer size
funcWrapper = new StreamWriteFunctionWrapper<>(tempFile.getAbsolutePath(), conf);

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@@ -23,10 +23,10 @@ import org.apache.hudi.common.model.HoodieKey;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.configuration.FlinkOptions;
import org.apache.hudi.exception.HoodieException;
import org.apache.hudi.sink.bootstrap.BootstrapFunction;
import org.apache.hudi.sink.bootstrap.IndexRecord;
import org.apache.hudi.sink.StreamWriteFunction;
import org.apache.hudi.sink.StreamWriteOperatorCoordinator;
import org.apache.hudi.sink.bootstrap.BootstrapFunction;
import org.apache.hudi.sink.bootstrap.IndexRecord;
import org.apache.hudi.sink.event.BatchWriteSuccessEvent;
import org.apache.hudi.sink.partitioner.BucketAssignFunction;
import org.apache.hudi.sink.partitioner.BucketAssignOperator;
@@ -48,13 +48,12 @@ import org.apache.flink.streaming.api.operators.collect.utils.MockOperatorEventG
import org.apache.flink.table.data.RowData;
import org.apache.flink.util.Collector;
import java.util.HashSet;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.TimeUnit;
/**
* A wrapper class to manipulate the {@link StreamWriteFunction} instance for testing.
@@ -213,18 +212,8 @@ public class StreamWriteFunctionWrapper<I> {
public void checkpointComplete(long checkpointId) {
functionInitializationContext.getOperatorStateStore().checkpointSuccess(checkpointId);
if (asyncCompaction) {
// sleep for a while to give a change for scheduling compaction,
// see HoodieActiveTimeline#createNewInstantTime for details.
try {
TimeUnit.SECONDS.sleep(2);
} catch (InterruptedException e) {
throw new HoodieException("Waiting for checkpoint success exception", e);
}
}
coordinator.notifyCheckpointComplete(checkpointId);
this.bucketAssignerFunction.notifyCheckpointComplete(checkpointId);
this.writeFunction.notifyCheckpointComplete(checkpointId);
if (asyncCompaction) {
try {
compactFunctionWrapper.compact(checkpointId);