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[HUDI-4403] Fix the end input metadata for bounded source (#6116)

This commit is contained in:
Danny Chan
2022-07-16 12:02:17 +08:00
committed by GitHub
parent 726e8e3590
commit 0faa562b6f
5 changed files with 50 additions and 41 deletions

View File

@@ -408,6 +408,16 @@ public class StreamWriteFunction<I> extends AbstractStreamWriteFunction<I> {
&& this.buckets.values().stream().anyMatch(bucket -> bucket.records.size() > 0);
}
private void cleanWriteHandles() {
if (freshInstant(currentInstant)) {
// In rare cases, when a checkpoint was aborted and the instant time
// is reused, the merge handle generates a new file name
// with the reused instant time of last checkpoint, the write handles
// should be kept and reused in case data loss.
this.writeClient.cleanHandles();
}
}
@SuppressWarnings("unchecked, rawtypes")
private boolean flushBucket(DataBucket bucket) {
String instant = instantToWrite(true);
@@ -479,7 +489,7 @@ public class StreamWriteFunction<I> extends AbstractStreamWriteFunction<I> {
this.eventGateway.sendEventToCoordinator(event);
this.buckets.clear();
this.tracer.reset();
this.writeClient.cleanHandles();
cleanWriteHandles();
this.writeStatuses.addAll(writeStatus);
// blocks flushing until the coordinator starts a new instant
this.confirming = true;

View File

@@ -365,7 +365,10 @@ public class StreamWriteOperatorCoordinator
*/
private boolean allEventsReceived() {
return Arrays.stream(eventBuffer)
.allMatch(event -> event != null && event.isReady(this.instant));
// we do not use event.isReady to check the instant
// because the write task may send an event eagerly for empty
// data set, the even may have a timestamp of last committed instant.
.allMatch(event -> event != null && event.isLastBatch());
}
private void addEventToBuffer(WriteMetadataEvent event) {
@@ -425,12 +428,14 @@ public class StreamWriteOperatorCoordinator
addEventToBuffer(event);
if (allEventsReceived()) {
// start to commit the instant.
commitInstant(this.instant);
// The executor thread inherits the classloader of the #handleEventFromOperator
// caller, which is a AppClassLoader.
Thread.currentThread().setContextClassLoader(getClass().getClassLoader());
// sync Hive synchronously if it is enabled in batch mode.
syncHive();
boolean committed = commitInstant(this.instant);
if (committed) {
// The executor thread inherits the classloader of the #handleEventFromOperator
// caller, which is a AppClassLoader.
Thread.currentThread().setContextClassLoader(getClass().getClassLoader());
// sync Hive synchronously if it is enabled in batch mode.
syncHive();
}
}
}
@@ -474,8 +479,8 @@ public class StreamWriteOperatorCoordinator
/**
* Commits the instant.
*/
private void commitInstant(String instant) {
commitInstant(instant, -1);
private boolean commitInstant(String instant) {
return commitInstant(instant, -1);
}
/**

View File

@@ -243,6 +243,13 @@ public abstract class AbstractStreamWriteFunction<I>
return this.ckpMetadata.lastPendingInstant();
}
/**
* Returns whether the instant is fresh new(not aborted).
*/
protected boolean freshInstant(String instant) {
return !this.ckpMetadata.isAborted(instant);
}
/**
* Prepares the instant time to write with for next checkpoint.
*
@@ -279,6 +286,6 @@ public abstract class AbstractStreamWriteFunction<I>
* Returns whether the pending instant is invalid to write with.
*/
private boolean invalidInstant(String instant, boolean hasData) {
return instant.equals(this.currentInstant) && hasData && !this.ckpMetadata.isAborted(instant);
return instant.equals(this.currentInstant) && hasData && freshInstant(instant);
}
}

View File

@@ -358,9 +358,9 @@ public class Pipelines {
* The whole pipeline looks like the following:
*
* <pre>
* /=== | task1 | ===\
* | plan generation | ===> hash | commit |
* \=== | task2 | ===/
* /=== | task1 | ===\
* | plan generation | ===> hash | commit |
* \=== | task2 | ===/
*
* Note: both the compaction plan generation task and commission task are singleton.
* </pre>
@@ -374,6 +374,8 @@ public class Pipelines {
TypeInformation.of(CompactionPlanEvent.class),
new CompactionPlanOperator(conf))
.setParallelism(1) // plan generate must be singleton
// make the distribution strategy deterministic to avoid concurrent modifications
// on the same bucket files
.keyBy(plan -> plan.getOperation().getFileGroupId().getFileId())
.transform("compact_task",
TypeInformation.of(CompactionCommitEvent.class),
@@ -393,9 +395,9 @@ public class Pipelines {
* The whole pipeline looks like the following:
*
* <pre>
* /=== | task1 | ===\
* | plan generation | ===> hash | commit |
* \=== | task2 | ===/
* /=== | task1 | ===\
* | plan generation | ===> hash | commit |
* \=== | task2 | ===/
*
* Note: both the clustering plan generation task and commission task are singleton.
* </pre>
@@ -410,9 +412,11 @@ public class Pipelines {
TypeInformation.of(ClusteringPlanEvent.class),
new ClusteringPlanOperator(conf))
.setParallelism(1) // plan generate must be singleton
.keyBy(plan -> plan.getClusteringGroupInfo().getOperations()
.stream().map(ClusteringOperation::getFileId)
.collect(Collectors.joining()))
.keyBy(plan ->
// make the distribution strategy deterministic to avoid concurrent modifications
// on the same bucket files
plan.getClusteringGroupInfo().getOperations()
.stream().map(ClusteringOperation::getFileId).collect(Collectors.joining()))
.transform("clustering_task",
TypeInformation.of(ClusteringCommitEvent.class),
new ClusteringOperator(conf, rowType))

View File

@@ -248,21 +248,8 @@ public class ITTestDataStreamWrite extends TestLogger {
Pipelines.clean(conf, pipeline);
Pipelines.compact(conf, pipeline);
}
JobClient client = execEnv.executeAsync(jobName);
if (isMor) {
if (client.getJobStatus().get() != JobStatus.FAILED) {
try {
TimeUnit.SECONDS.sleep(20); // wait long enough for the compaction to finish
client.cancel();
} catch (Throwable var1) {
// ignored
}
}
} else {
// wait for the streaming job to finish
client.getJobExecutionResult().get();
}
execute(execEnv, isMor, jobName);
TestData.checkWrittenDataCOW(tempFile, expected);
}
@@ -322,17 +309,14 @@ public class ITTestDataStreamWrite extends TestLogger {
execEnv.addOperator(pipeline.getTransformation());
Pipelines.cluster(conf, rowType, pipeline);
JobClient client = execEnv.executeAsync(jobName);
// wait for the streaming job to finish
client.getJobExecutionResult().get();
execEnv.execute(jobName);
TestData.checkWrittenDataCOW(tempFile, expected);
}
public void execute(StreamExecutionEnvironment execEnv, boolean isMor, String jobName) throws Exception {
JobClient client = execEnv.executeAsync(jobName);
if (isMor) {
JobClient client = execEnv.executeAsync(jobName);
if (client.getJobStatus().get() != JobStatus.FAILED) {
try {
TimeUnit.SECONDS.sleep(20); // wait long enough for the compaction to finish
@@ -343,7 +327,7 @@ public class ITTestDataStreamWrite extends TestLogger {
}
} else {
// wait for the streaming job to finish
client.getJobExecutionResult().get();
execEnv.execute(jobName);
}
}
@@ -451,5 +435,4 @@ public class ITTestDataStreamWrite extends TestLogger {
execute(execEnv, true, "Api_Sink_Test");
TestData.checkWrittenDataCOW(tempFile, EXPECTED);
}
}