[HUDI-2036] Move the compaction plan scheduling out of flink writer coordinator (#3101)
Since HUDI-1955 was fixed, we can move the scheduling out if the coordinator to make the coordinator more lightweight.
This commit is contained in:
@@ -28,14 +28,11 @@ import org.apache.hudi.common.model.HoodieRecordPayload;
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import org.apache.hudi.common.table.timeline.HoodieActiveTimeline;
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import org.apache.hudi.common.table.timeline.HoodieInstant;
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import org.apache.hudi.common.table.timeline.HoodieTimeline;
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import org.apache.hudi.common.table.timeline.TimelineMetadataUtils;
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import org.apache.hudi.common.table.view.SyncableFileSystemView;
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import org.apache.hudi.common.util.Option;
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import org.apache.hudi.common.util.ValidationUtils;
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import org.apache.hudi.common.util.collection.Pair;
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import org.apache.hudi.config.HoodieWriteConfig;
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import org.apache.hudi.exception.HoodieCompactionException;
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import org.apache.hudi.exception.HoodieIOException;
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import org.apache.hudi.table.HoodieTable;
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import org.apache.log4j.LogManager;
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@@ -156,41 +153,4 @@ public class FlinkScheduleCompactionActionExecutor<T extends HoodieRecordPayload
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}
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return timestamp;
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}
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@Override
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public Option<HoodieCompactionPlan> execute() {
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if (!config.getWriteConcurrencyMode().supportsOptimisticConcurrencyControl()
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&& !config.getFailedWritesCleanPolicy().isLazy()) {
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// if there are inflight writes, their instantTime must not be less than that of compaction instant time
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table.getActiveTimeline().getCommitsTimeline().filterPendingExcludingCompaction().firstInstant()
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.ifPresent(earliestInflight -> ValidationUtils.checkArgument(
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HoodieTimeline.compareTimestamps(earliestInflight.getTimestamp(), HoodieTimeline.GREATER_THAN, instantTime),
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"Earliest write inflight instant time must be later than compaction time. Earliest :" + earliestInflight
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+ ", Compaction scheduled at " + instantTime));
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// Committed and pending compaction instants should have strictly lower timestamps
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List<HoodieInstant> conflictingInstants = table.getActiveTimeline()
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.getWriteTimeline().filterCompletedAndCompactionInstants().getInstants()
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.filter(instant -> HoodieTimeline.compareTimestamps(
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instant.getTimestamp(), HoodieTimeline.GREATER_THAN_OR_EQUALS, instantTime))
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.collect(Collectors.toList());
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ValidationUtils.checkArgument(conflictingInstants.isEmpty(),
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"Following instants have timestamps >= compactionInstant (" + instantTime + ") Instants :"
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+ conflictingInstants);
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}
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HoodieCompactionPlan plan = scheduleCompaction();
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if (plan != null && (plan.getOperations() != null) && (!plan.getOperations().isEmpty())) {
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extraMetadata.ifPresent(plan::setExtraMetadata);
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HoodieInstant compactionInstant =
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new HoodieInstant(HoodieInstant.State.REQUESTED, HoodieTimeline.COMPACTION_ACTION, instantTime);
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try {
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table.getActiveTimeline().saveToCompactionRequested(compactionInstant,
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TimelineMetadataUtils.serializeCompactionPlan(plan));
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} catch (IOException ioe) {
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throw new HoodieIOException("Exception scheduling compaction", ioe);
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}
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return Option.of(plan);
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}
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return Option.empty();
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}
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}
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@@ -104,11 +104,6 @@ public class StreamWriteOperatorCoordinator
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*/
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private final int parallelism;
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/**
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* Whether needs to schedule compaction task on finished checkpoints.
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*/
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private final boolean needsScheduleCompaction;
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/**
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* A single-thread executor to handle all the asynchronous jobs of the coordinator.
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*/
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@@ -141,7 +136,6 @@ public class StreamWriteOperatorCoordinator
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this.conf = conf;
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this.context = context;
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this.parallelism = context.currentParallelism();
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this.needsScheduleCompaction = StreamerUtil.needsScheduleCompaction(conf);
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}
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@Override
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@@ -203,10 +197,6 @@ public class StreamWriteOperatorCoordinator
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// so a successful checkpoint subsumes the old one(follows the checkpoint subsuming contract)
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final boolean committed = commitInstant();
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if (committed) {
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// if async compaction is on, schedule the compaction
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if (needsScheduleCompaction) {
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writeClient.scheduleCompaction(Option.empty());
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}
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// start new instant.
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startInstant();
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// sync Hive if is enabled
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@@ -28,7 +28,7 @@ import org.apache.hudi.util.StreamerUtil;
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import org.apache.flink.annotation.VisibleForTesting;
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import org.apache.flink.configuration.Configuration;
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import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
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import org.apache.flink.streaming.api.functions.ProcessFunction;
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import org.apache.flink.util.Collector;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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@@ -40,7 +40,7 @@ import java.util.List;
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* Function to execute the actual compaction task assigned by the compaction plan task.
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* In order to execute scalable, the input should shuffle by the compact event {@link CompactionPlanEvent}.
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*/
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public class CompactFunction extends KeyedProcessFunction<Long, CompactionPlanEvent, CompactionCommitEvent> {
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public class CompactFunction extends ProcessFunction<CompactionPlanEvent, CompactionCommitEvent> {
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private static final Logger LOG = LoggerFactory.getLogger(CompactFunction.class);
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/**
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@@ -53,6 +53,11 @@ public class CompactFunction extends KeyedProcessFunction<Long, CompactionPlanEv
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*/
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private transient HoodieFlinkWriteClient writeClient;
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/**
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* Whether to execute compaction asynchronously.
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*/
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private final boolean asyncCompaction;
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/**
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* Id of current subtask.
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*/
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@@ -65,23 +70,32 @@ public class CompactFunction extends KeyedProcessFunction<Long, CompactionPlanEv
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public CompactFunction(Configuration conf) {
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this.conf = conf;
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this.asyncCompaction = StreamerUtil.needsAsyncCompaction(conf);
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}
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@Override
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public void open(Configuration parameters) throws Exception {
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this.taskID = getRuntimeContext().getIndexOfThisSubtask();
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this.writeClient = StreamerUtil.createWriteClient(conf, getRuntimeContext());
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this.executor = new NonThrownExecutor(LOG);
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if (this.asyncCompaction) {
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this.executor = new NonThrownExecutor(LOG);
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}
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}
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@Override
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public void processElement(CompactionPlanEvent event, Context context, Collector<CompactionCommitEvent> collector) throws Exception {
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final String instantTime = event.getCompactionInstantTime();
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final CompactionOperation compactionOperation = event.getOperation();
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// executes the compaction task asynchronously to not block the checkpoint barrier propagate.
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executor.execute(
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() -> doCompaction(instantTime, compactionOperation, collector), "Execute compaction for instant %s from task %d", instantTime, taskID
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);
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if (asyncCompaction) {
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// executes the compaction task asynchronously to not block the checkpoint barrier propagate.
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executor.execute(
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() -> doCompaction(instantTime, compactionOperation, collector),
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"Execute compaction for instant %s from task %d", instantTime, taskID);
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} else {
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// executes the compaction task synchronously for batch mode.
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LOG.info("Execute compaction for instant {} from task {}", instantTime, taskID);
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doCompaction(instantTime, compactionOperation, collector);
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}
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}
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private void doCompaction(String instantTime, CompactionOperation compactionOperation, Collector<CompactionCommitEvent> collector) throws IOException {
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@@ -122,8 +122,7 @@ public class CompactionCommitSink extends CleanFunction<CompactionCommitEvent> {
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// Whether to cleanup the old log file when compaction
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if (!conf.getBoolean(FlinkOptions.CLEAN_ASYNC_ENABLED)) {
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this.writeClient.startAsyncCleaning();
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this.writeClient.waitForCleaningFinish();
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this.writeClient.clean();
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}
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// reset the status
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@@ -26,8 +26,8 @@ import org.apache.hudi.common.table.timeline.HoodieInstant;
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import org.apache.hudi.common.table.timeline.HoodieTimeline;
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import org.apache.hudi.common.util.CompactionUtils;
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import org.apache.hudi.common.util.Option;
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import org.apache.hudi.exception.HoodieIOException;
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import org.apache.hudi.table.HoodieFlinkTable;
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import org.apache.hudi.util.CompactionUtil;
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import org.apache.hudi.util.StreamerUtil;
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import org.apache.flink.annotation.VisibleForTesting;
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@@ -36,7 +36,6 @@ import org.apache.flink.streaming.api.operators.AbstractStreamOperator;
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import org.apache.flink.streaming.api.operators.OneInputStreamOperator;
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import org.apache.flink.streaming.api.operators.Output;
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import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
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import org.apache.hadoop.fs.Path;
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import java.io.IOException;
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import java.util.List;
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@@ -84,21 +83,34 @@ public class CompactionPlanOperator extends AbstractStreamOperator<CompactionPla
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@Override
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public void notifyCheckpointComplete(long checkpointId) throws IOException {
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HoodieFlinkTable<?> table = writeClient.getHoodieTable();
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// the last instant takes the highest priority.
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Option<HoodieInstant> compactionInstant = table.getActiveTimeline().filterPendingCompactionTimeline().lastInstant();
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String compactionInstantTime = compactionInstant.isPresent() ? compactionInstant.get().getTimestamp() : null;
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if (compactionInstantTime == null) {
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try {
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scheduleCompaction(checkpointId);
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} catch (Throwable throwable) {
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// make it fail safe
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LOG.error("Error while scheduling compaction at instant: " + compactionInstantTime, throwable);
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}
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}
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private void scheduleCompaction(long checkpointId) throws IOException {
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// if async compaction is on, schedule the compaction
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HoodieTableMetaClient metaClient = CompactionUtil.createMetaClient(conf);
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final String compactionInstantTime = CompactionUtil.getCompactionInstantTime(metaClient);
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boolean scheduled = writeClient.scheduleCompactionAtInstant(compactionInstantTime, Option.empty());
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if (!scheduled) {
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// do nothing.
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LOG.info("No compaction plan for checkpoint " + checkpointId);
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return;
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}
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if (this.compactionInstantTime != null
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&& Objects.equals(this.compactionInstantTime, compactionInstantTime)) {
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// do nothing
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LOG.info("Duplicate scheduling for compaction instant: " + compactionInstantTime + ", ignore");
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return;
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}
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HoodieFlinkTable<?> table = writeClient.getHoodieTable();
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// generate compaction plan
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// should support configurable commit metadata
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HoodieCompactionPlan compactionPlan = CompactionUtils.getCompactionPlan(
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@@ -121,7 +133,7 @@ public class CompactionPlanOperator extends AbstractStreamOperator<CompactionPla
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LOG.warn("The compaction plan was fetched through the auxiliary path(.tmp) but not the meta path(.hoodie).\n"
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+ "Clean the compaction plan in auxiliary path and cancels the compaction");
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cleanInstant(table.getMetaClient(), instant);
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CompactionUtil.cleanInstant(table.getMetaClient(), instant);
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return;
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}
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@@ -138,22 +150,6 @@ public class CompactionPlanOperator extends AbstractStreamOperator<CompactionPla
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}
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}
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private void cleanInstant(HoodieTableMetaClient metaClient, HoodieInstant instant) {
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Path commitFilePath = new Path(metaClient.getMetaAuxiliaryPath(), instant.getFileName());
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try {
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if (metaClient.getFs().exists(commitFilePath)) {
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boolean deleted = metaClient.getFs().delete(commitFilePath, false);
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if (deleted) {
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LOG.info("Removed instant " + instant);
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} else {
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throw new HoodieIOException("Could not delete instant " + instant);
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}
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}
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} catch (IOException e) {
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throw new HoodieIOException("Could not remove requested commit " + commitFilePath, e);
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}
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}
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@VisibleForTesting
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public void setOutput(Output<StreamRecord<CompactionPlanEvent>> output) {
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this.output = output;
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@@ -46,7 +46,8 @@ import static java.util.stream.Collectors.toList;
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* use {@link org.apache.hudi.common.table.timeline.HoodieActiveTimeline#createNewInstantTime()}
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* as the instant time;</li>
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* <li>If the timeline has inflight instants,
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* use the {earliest inflight instant time - 1ms} as the instant time.</li>
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* use the median instant time between [last complete instant time, earliest inflight instant time]
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* as the instant time.</li>
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* </ul>
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*/
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public class CompactionPlanSourceFunction extends AbstractRichFunction implements SourceFunction<CompactionPlanEvent> {
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@@ -101,6 +101,8 @@ public class FlinkCompactionConfig extends Configuration {
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conf.setInteger(FlinkOptions.COMPACTION_DELTA_SECONDS, config.compactionDeltaSeconds);
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conf.setInteger(FlinkOptions.COMPACTION_MAX_MEMORY, config.compactionMaxMemory);
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conf.setBoolean(FlinkOptions.CLEAN_ASYNC_ENABLED, config.cleanAsyncEnable);
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// use synchronous compaction always
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conf.setBoolean(FlinkOptions.COMPACTION_ASYNC_ENABLED, false);
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return conf;
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}
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@@ -26,7 +26,6 @@ import org.apache.hudi.common.table.timeline.HoodieTimeline;
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import org.apache.hudi.common.util.CompactionUtils;
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import org.apache.hudi.common.util.Option;
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import org.apache.hudi.configuration.FlinkOptions;
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import org.apache.hudi.exception.HoodieIOException;
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import org.apache.hudi.table.HoodieFlinkTable;
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import org.apache.hudi.util.CompactionUtil;
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import org.apache.hudi.util.StreamerUtil;
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@@ -36,12 +35,9 @@ import org.apache.flink.api.common.typeinfo.TypeInformation;
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import org.apache.flink.configuration.Configuration;
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import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
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import org.apache.flink.streaming.api.operators.ProcessOperator;
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import org.apache.hadoop.fs.Path;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import java.io.IOException;
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/**
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* Flink hudi compaction program that can be executed manually.
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*/
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@@ -72,19 +68,15 @@ public class HoodieFlinkCompactor {
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// judge whether have operation
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// to compute the compaction instant time and do compaction.
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String instantTime = CompactionUtil.getCompactionInstantTime(metaClient);
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String compactionInstantTime = CompactionUtil.getCompactionInstantTime(metaClient);
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HoodieFlinkWriteClient writeClient = StreamerUtil.createWriteClient(conf, null);
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writeClient.scheduleCompactionAtInstant(instantTime, Option.empty());
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HoodieFlinkTable<?> table = writeClient.getHoodieTable();
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// the last instant takes the highest priority.
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Option<HoodieInstant> compactionInstant = table.getActiveTimeline().filterPendingCompactionTimeline().lastInstant();
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String compactionInstantTime = compactionInstant.isPresent() ? compactionInstant.get().getTimestamp() : null;
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if (compactionInstantTime == null) {
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boolean scheduled = writeClient.scheduleCompactionAtInstant(compactionInstantTime, Option.empty());
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if (!scheduled) {
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// do nothing.
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LOG.info("No compaction plan for this job ");
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return;
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}
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HoodieFlinkTable<?> table = writeClient.getHoodieTable();
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// generate compaction plan
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// should support configurable commit metadata
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HoodieCompactionPlan compactionPlan = CompactionUtils.getCompactionPlan(
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@@ -108,7 +100,7 @@ public class HoodieFlinkCompactor {
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LOG.warn("The compaction plan was fetched through the auxiliary path(.tmp) but not the meta path(.hoodie).\n"
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+ "Clean the compaction plan in auxiliary path and cancels the compaction");
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cleanInstant(table.getMetaClient(), instant);
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CompactionUtil.cleanInstant(table.getMetaClient(), instant);
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return;
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}
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@@ -118,7 +110,7 @@ public class HoodieFlinkCompactor {
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.rebalance()
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.transform("compact_task",
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TypeInformation.of(CompactionCommitEvent.class),
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new ProcessOperator<>(new NonKeyedCompactFunction(conf)))
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new ProcessOperator<>(new CompactFunction(conf)))
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.setParallelism(compactionPlan.getOperations().size())
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.addSink(new CompactionCommitSink(conf))
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.name("clean_commits")
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@@ -127,20 +119,4 @@ public class HoodieFlinkCompactor {
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env.execute("flink_hudi_compaction");
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}
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private static void cleanInstant(HoodieTableMetaClient metaClient, HoodieInstant instant) {
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Path commitFilePath = new Path(metaClient.getMetaAuxiliaryPath(), instant.getFileName());
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try {
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if (metaClient.getFs().exists(commitFilePath)) {
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boolean deleted = metaClient.getFs().delete(commitFilePath, false);
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if (deleted) {
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LOG.info("Removed instant " + instant);
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} else {
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throw new HoodieIOException("Could not delete instant " + instant);
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}
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}
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} catch (IOException e) {
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throw new HoodieIOException("Could not remove requested commit " + commitFilePath, e);
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}
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}
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}
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@@ -1,102 +0,0 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
|
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hudi.sink.compact;
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import org.apache.hudi.client.HoodieFlinkWriteClient;
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import org.apache.hudi.client.WriteStatus;
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import org.apache.hudi.common.model.CompactionOperation;
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import org.apache.hudi.sink.utils.NonThrownExecutor;
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import org.apache.hudi.table.HoodieFlinkCopyOnWriteTable;
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import org.apache.hudi.table.action.compact.HoodieFlinkMergeOnReadTableCompactor;
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import org.apache.hudi.util.StreamerUtil;
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import org.apache.flink.annotation.VisibleForTesting;
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import org.apache.flink.configuration.Configuration;
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import org.apache.flink.streaming.api.functions.ProcessFunction;
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import org.apache.flink.util.Collector;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import java.io.IOException;
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import java.util.List;
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/**
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* Function to execute the actual compaction task assigned by the compaction plan task.
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* The input compact event {@link CompactionPlanEvent}s were distributed evenly to this function.
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*/
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public class NonKeyedCompactFunction extends ProcessFunction<CompactionPlanEvent, CompactionCommitEvent> {
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private static final Logger LOG = LoggerFactory.getLogger(NonKeyedCompactFunction.class);
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||||
|
||||
/**
|
||||
* Config options.
|
||||
*/
|
||||
private final Configuration conf;
|
||||
|
||||
/**
|
||||
* Write Client.
|
||||
*/
|
||||
private transient HoodieFlinkWriteClient writeClient;
|
||||
|
||||
/**
|
||||
* Id of current subtask.
|
||||
*/
|
||||
private int taskID;
|
||||
|
||||
/**
|
||||
* Executor service to execute the compaction task.
|
||||
*/
|
||||
private transient NonThrownExecutor executor;
|
||||
|
||||
public NonKeyedCompactFunction(Configuration conf) {
|
||||
this.conf = conf;
|
||||
}
|
||||
|
||||
@Override
|
||||
public void open(Configuration parameters) throws Exception {
|
||||
this.taskID = getRuntimeContext().getIndexOfThisSubtask();
|
||||
this.writeClient = StreamerUtil.createWriteClient(conf, getRuntimeContext());
|
||||
this.executor = new NonThrownExecutor(LOG);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void processElement(CompactionPlanEvent event, Context ctx, Collector<CompactionCommitEvent> collector) throws Exception {
|
||||
final String instantTime = event.getCompactionInstantTime();
|
||||
final CompactionOperation compactionOperation = event.getOperation();
|
||||
doCompaction(instantTime, compactionOperation, collector);
|
||||
}
|
||||
|
||||
private void doCompaction(String instantTime, CompactionOperation compactionOperation, Collector<CompactionCommitEvent> collector) throws IOException {
|
||||
HoodieFlinkMergeOnReadTableCompactor compactor = new HoodieFlinkMergeOnReadTableCompactor();
|
||||
List<WriteStatus> writeStatuses = compactor.compact(
|
||||
new HoodieFlinkCopyOnWriteTable<>(
|
||||
this.writeClient.getConfig(),
|
||||
this.writeClient.getEngineContext(),
|
||||
this.writeClient.getHoodieTable().getMetaClient()),
|
||||
this.writeClient.getHoodieTable().getMetaClient(),
|
||||
this.writeClient.getConfig(),
|
||||
compactionOperation,
|
||||
instantTime);
|
||||
collector.collect(new CompactionCommitEvent(instantTime, writeStatuses, taskID));
|
||||
}
|
||||
|
||||
@VisibleForTesting
|
||||
public void setExecutor(NonThrownExecutor executor) {
|
||||
this.executor = executor;
|
||||
}
|
||||
}
|
||||
@@ -117,16 +117,16 @@ public class HoodieFlinkStreamer {
|
||||
.transform("hoodie_stream_write", TypeInformation.of(Object.class), operatorFactory)
|
||||
.uid("uid_hoodie_stream_write")
|
||||
.setParallelism(numWriteTask);
|
||||
if (StreamerUtil.needsScheduleCompaction(conf)) {
|
||||
if (StreamerUtil.needsAsyncCompaction(conf)) {
|
||||
pipeline.transform("compact_plan_generate",
|
||||
TypeInformation.of(CompactionPlanEvent.class),
|
||||
new CompactionPlanOperator(conf))
|
||||
.uid("uid_compact_plan_generate")
|
||||
.setParallelism(1) // plan generate must be singleton
|
||||
.keyBy(event -> event.getOperation().hashCode())
|
||||
.rebalance()
|
||||
.transform("compact_task",
|
||||
TypeInformation.of(CompactionCommitEvent.class),
|
||||
new KeyedProcessOperator<>(new CompactFunction(conf)))
|
||||
new ProcessOperator<>(new CompactFunction(conf)))
|
||||
.setParallelism(conf.getInteger(FlinkOptions.COMPACTION_TASKS))
|
||||
.addSink(new CompactionCommitSink(conf))
|
||||
.name("compact_commit")
|
||||
|
||||
@@ -38,7 +38,6 @@ import org.apache.flink.annotation.VisibleForTesting;
|
||||
import org.apache.flink.api.common.typeinfo.TypeInformation;
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
import org.apache.flink.streaming.api.datastream.DataStream;
|
||||
import org.apache.flink.streaming.api.operators.KeyedProcessOperator;
|
||||
import org.apache.flink.streaming.api.operators.ProcessOperator;
|
||||
import org.apache.flink.table.api.TableSchema;
|
||||
import org.apache.flink.table.connector.ChangelogMode;
|
||||
@@ -99,16 +98,16 @@ public class HoodieTableSink implements DynamicTableSink, SupportsPartitioning,
|
||||
.transform("hoodie_stream_write", TypeInformation.of(Object.class), operatorFactory)
|
||||
.name("uid_hoodie_stream_write")
|
||||
.setParallelism(numWriteTasks);
|
||||
if (StreamerUtil.needsScheduleCompaction(conf)) {
|
||||
if (StreamerUtil.needsAsyncCompaction(conf)) {
|
||||
return pipeline.transform("compact_plan_generate",
|
||||
TypeInformation.of(CompactionPlanEvent.class),
|
||||
new CompactionPlanOperator(conf))
|
||||
.name("uid_compact_plan_generate")
|
||||
.setParallelism(1) // plan generate must be singleton
|
||||
.keyBy(event -> event.getOperation().hashCode())
|
||||
.rebalance()
|
||||
.transform("compact_task",
|
||||
TypeInformation.of(CompactionCommitEvent.class),
|
||||
new KeyedProcessOperator<>(new CompactFunction(conf)))
|
||||
new ProcessOperator<>(new CompactFunction(conf)))
|
||||
.setParallelism(conf.getInteger(FlinkOptions.COMPACTION_TASKS))
|
||||
.addSink(new CompactionCommitSink(conf))
|
||||
.name("compact_commit")
|
||||
|
||||
@@ -22,18 +22,17 @@ import org.apache.hudi.common.table.HoodieTableMetaClient;
|
||||
import org.apache.hudi.common.table.TableSchemaResolver;
|
||||
import org.apache.hudi.common.table.timeline.HoodieActiveTimeline;
|
||||
import org.apache.hudi.common.table.timeline.HoodieInstant;
|
||||
import org.apache.hudi.common.table.timeline.HoodieTimeline;
|
||||
import org.apache.hudi.common.util.Option;
|
||||
import org.apache.hudi.common.util.ValidationUtils;
|
||||
import org.apache.hudi.configuration.FlinkOptions;
|
||||
import org.apache.hudi.exception.HoodieIOException;
|
||||
|
||||
import org.apache.avro.Schema;
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.stream.Collectors;
|
||||
import java.io.IOException;
|
||||
|
||||
/**
|
||||
* Utilities for flink hudi compaction.
|
||||
@@ -44,29 +43,24 @@ public class CompactionUtil {
|
||||
|
||||
/**
|
||||
* Creates the metaClient.
|
||||
* */
|
||||
*/
|
||||
public static HoodieTableMetaClient createMetaClient(Configuration conf) {
|
||||
return HoodieTableMetaClient.builder().setBasePath(conf.getString(FlinkOptions.PATH)).setConf(FlinkClientUtil.getHadoopConf()).build();
|
||||
}
|
||||
|
||||
/**
|
||||
* Gets compaction Instant time.
|
||||
* */
|
||||
*/
|
||||
public static String getCompactionInstantTime(HoodieTableMetaClient metaClient) {
|
||||
Option<HoodieInstant> hoodieInstantOption = metaClient.getCommitsTimeline().filterPendingExcludingCompaction().firstInstant();
|
||||
if (hoodieInstantOption.isPresent()) {
|
||||
HoodieInstant firstInstant = hoodieInstantOption.get();
|
||||
String newCommitTime = StreamerUtil.instantTimeSubtract(firstInstant.getTimestamp(), 1);
|
||||
Option<HoodieInstant> firstPendingInstant = metaClient.getCommitsTimeline()
|
||||
.filterPendingExcludingCompaction().firstInstant();
|
||||
Option<HoodieInstant> lastCompleteInstant = metaClient.getActiveTimeline().getWriteTimeline()
|
||||
.filterCompletedAndCompactionInstants().lastInstant();
|
||||
if (firstPendingInstant.isPresent() && lastCompleteInstant.isPresent()) {
|
||||
String firstPendingTimestamp = firstPendingInstant.get().getTimestamp();
|
||||
String lastCompleteTimestamp = lastCompleteInstant.get().getTimestamp();
|
||||
// Committed and pending compaction instants should have strictly lower timestamps
|
||||
List<HoodieInstant> conflictingInstants = metaClient.getActiveTimeline()
|
||||
.getWriteTimeline().filterCompletedAndCompactionInstants().getInstants()
|
||||
.filter(instant -> HoodieTimeline.compareTimestamps(
|
||||
instant.getTimestamp(), HoodieTimeline.GREATER_THAN_OR_EQUALS, newCommitTime))
|
||||
.collect(Collectors.toList());
|
||||
ValidationUtils.checkArgument(conflictingInstants.isEmpty(),
|
||||
"Following instants have timestamps >= compactionInstant (" + newCommitTime + ") Instants :"
|
||||
+ conflictingInstants);
|
||||
return newCommitTime;
|
||||
return StreamerUtil.medianInstantTime(firstPendingTimestamp, lastCompleteTimestamp);
|
||||
} else {
|
||||
return HoodieActiveTimeline.createNewInstantTime();
|
||||
}
|
||||
@@ -83,4 +77,23 @@ public class CompactionUtil {
|
||||
Schema tableAvroSchema = tableSchemaResolver.getTableAvroSchema(false);
|
||||
conf.setString(FlinkOptions.READ_AVRO_SCHEMA, tableAvroSchema.toString());
|
||||
}
|
||||
|
||||
/**
|
||||
* Cleans the metadata file for given instant {@code instant}.
|
||||
*/
|
||||
public static void cleanInstant(HoodieTableMetaClient metaClient, HoodieInstant instant) {
|
||||
Path commitFilePath = new Path(metaClient.getMetaAuxiliaryPath(), instant.getFileName());
|
||||
try {
|
||||
if (metaClient.getFs().exists(commitFilePath)) {
|
||||
boolean deleted = metaClient.getFs().delete(commitFilePath, false);
|
||||
if (deleted) {
|
||||
LOG.info("Removed instant " + instant);
|
||||
} else {
|
||||
throw new HoodieIOException("Could not delete instant " + instant);
|
||||
}
|
||||
}
|
||||
} catch (IOException e) {
|
||||
throw new HoodieIOException("Could not remove requested commit " + commitFilePath, e);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -276,7 +276,7 @@ public class StreamerUtil {
|
||||
* Returns whether needs to schedule the async compaction.
|
||||
* @param conf The flink configuration.
|
||||
*/
|
||||
public static boolean needsScheduleCompaction(Configuration conf) {
|
||||
public static boolean needsAsyncCompaction(Configuration conf) {
|
||||
return conf.getString(FlinkOptions.TABLE_TYPE)
|
||||
.toUpperCase(Locale.ROOT)
|
||||
.equals(FlinkOptions.TABLE_TYPE_MERGE_ON_READ)
|
||||
@@ -304,10 +304,12 @@ public class StreamerUtil {
|
||||
}
|
||||
|
||||
/**
|
||||
* Subtract the old instant time with given milliseconds and returns.
|
||||
* */
|
||||
public static String instantTimeSubtract(String oldInstant, long milliseconds) {
|
||||
long oldTime = Long.parseLong(oldInstant);
|
||||
return String.valueOf(oldTime - milliseconds);
|
||||
* Return the median instant time between the given two instant time.
|
||||
*/
|
||||
public static String medianInstantTime(String highVal, String lowVal) {
|
||||
long high = Long.parseLong(highVal);
|
||||
long low = Long.parseLong(lowVal);
|
||||
long median = low + (high - low) / 2;
|
||||
return String.valueOf(median);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -36,7 +36,6 @@ import org.apache.hudi.sink.compact.CompactionPlanEvent;
|
||||
import org.apache.hudi.sink.compact.CompactionPlanOperator;
|
||||
import org.apache.hudi.sink.compact.CompactionPlanSourceFunction;
|
||||
import org.apache.hudi.sink.compact.FlinkCompactionConfig;
|
||||
import org.apache.hudi.sink.compact.NonKeyedCompactFunction;
|
||||
import org.apache.hudi.sink.partitioner.BucketAssignFunction;
|
||||
import org.apache.hudi.sink.partitioner.BucketAssignOperator;
|
||||
import org.apache.hudi.sink.transform.RowDataToHoodieFunction;
|
||||
@@ -62,11 +61,9 @@ import org.apache.flink.streaming.api.CheckpointingMode;
|
||||
import org.apache.flink.streaming.api.datastream.DataStream;
|
||||
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
|
||||
import org.apache.flink.streaming.api.functions.source.FileProcessingMode;
|
||||
import org.apache.flink.streaming.api.operators.KeyedProcessOperator;
|
||||
import org.apache.flink.streaming.api.operators.ProcessOperator;
|
||||
import org.apache.flink.table.api.EnvironmentSettings;
|
||||
import org.apache.flink.table.api.TableEnvironment;
|
||||
import org.apache.flink.table.api.TableResult;
|
||||
import org.apache.flink.table.api.config.ExecutionConfigOptions;
|
||||
import org.apache.flink.table.api.internal.TableEnvironmentImpl;
|
||||
import org.apache.flink.table.runtime.typeutils.InternalTypeInfo;
|
||||
@@ -143,8 +140,8 @@ public class StreamWriteITCase extends TestLogger {
|
||||
|
||||
if (conf.getBoolean(FlinkOptions.INDEX_BOOTSTRAP_ENABLED)) {
|
||||
hoodieDataStream = hoodieDataStream.transform("index_bootstrap",
|
||||
TypeInformation.of(HoodieRecord.class),
|
||||
new ProcessOperator<>(new BootstrapFunction<>(conf)));
|
||||
TypeInformation.of(HoodieRecord.class),
|
||||
new ProcessOperator<>(new BootstrapFunction<>(conf)));
|
||||
}
|
||||
|
||||
DataStream<Object> pipeline = hoodieDataStream
|
||||
@@ -174,24 +171,26 @@ public class StreamWriteITCase extends TestLogger {
|
||||
EnvironmentSettings settings = EnvironmentSettings.newInstance().inBatchMode().build();
|
||||
TableEnvironment tableEnv = TableEnvironmentImpl.create(settings);
|
||||
tableEnv.getConfig().getConfiguration()
|
||||
.setInteger(ExecutionConfigOptions.TABLE_EXEC_RESOURCE_DEFAULT_PARALLELISM, 1);
|
||||
.setInteger(ExecutionConfigOptions.TABLE_EXEC_RESOURCE_DEFAULT_PARALLELISM, 1);
|
||||
Map<String, String> options = new HashMap<>();
|
||||
options.put(FlinkOptions.COMPACTION_ASYNC_ENABLED.key(), "false");
|
||||
options.put(FlinkOptions.PATH.key(), tempFile.getAbsolutePath());
|
||||
options.put(FlinkOptions.TABLE_TYPE.key(), "MERGE_ON_READ");
|
||||
String hoodieTableDDL = TestConfigurations.getCreateHoodieTableDDL("t1", options);
|
||||
tableEnv.executeSql(hoodieTableDDL);
|
||||
String insertInto = "insert into t1 values\n"
|
||||
+ "('id1','Danny',23,TIMESTAMP '1970-01-01 00:00:01','par1'),\n"
|
||||
+ "('id2','Stephen',33,TIMESTAMP '1970-01-01 00:00:02','par1'),\n"
|
||||
+ "('id3','Julian',53,TIMESTAMP '1970-01-01 00:00:03','par2'),\n"
|
||||
+ "('id4','Fabian',31,TIMESTAMP '1970-01-01 00:00:04','par2'),\n"
|
||||
+ "('id5','Sophia',18,TIMESTAMP '1970-01-01 00:00:05','par3'),\n"
|
||||
+ "('id6','Emma',20,TIMESTAMP '1970-01-01 00:00:06','par3'),\n"
|
||||
+ "('id7','Bob',44,TIMESTAMP '1970-01-01 00:00:07','par4'),\n"
|
||||
+ "('id8','Han',56,TIMESTAMP '1970-01-01 00:00:08','par4')";
|
||||
TableResult tableResult = tableEnv.executeSql(insertInto);
|
||||
TimeUnit.SECONDS.sleep(5);
|
||||
tableResult.await();
|
||||
+ "('id1','Danny',23,TIMESTAMP '1970-01-01 00:00:01','par1'),\n"
|
||||
+ "('id2','Stephen',33,TIMESTAMP '1970-01-01 00:00:02','par1'),\n"
|
||||
+ "('id3','Julian',53,TIMESTAMP '1970-01-01 00:00:03','par2'),\n"
|
||||
+ "('id4','Fabian',31,TIMESTAMP '1970-01-01 00:00:04','par2'),\n"
|
||||
+ "('id5','Sophia',18,TIMESTAMP '1970-01-01 00:00:05','par3'),\n"
|
||||
+ "('id6','Emma',20,TIMESTAMP '1970-01-01 00:00:06','par3'),\n"
|
||||
+ "('id7','Bob',44,TIMESTAMP '1970-01-01 00:00:07','par4'),\n"
|
||||
+ "('id8','Han',56,TIMESTAMP '1970-01-01 00:00:08','par4')";
|
||||
tableEnv.executeSql(insertInto).await();
|
||||
|
||||
// wait for the asynchronous commit to finish
|
||||
TimeUnit.SECONDS.sleep(3);
|
||||
|
||||
// Make configuration and setAvroSchema.
|
||||
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
|
||||
@@ -199,7 +198,6 @@ public class StreamWriteITCase extends TestLogger {
|
||||
cfg.path = tempFile.getAbsolutePath();
|
||||
Configuration conf = FlinkCompactionConfig.toFlinkConfig(cfg);
|
||||
conf.setString(FlinkOptions.TABLE_TYPE.key(), "MERGE_ON_READ");
|
||||
conf.setString(FlinkOptions.PARTITION_PATH_FIELD.key(), "partition");
|
||||
|
||||
// create metaClient
|
||||
HoodieTableMetaClient metaClient = CompactionUtil.createMetaClient(conf);
|
||||
@@ -212,34 +210,30 @@ public class StreamWriteITCase extends TestLogger {
|
||||
|
||||
// judge whether have operation
|
||||
// To compute the compaction instant time and do compaction.
|
||||
String instantTime = CompactionUtil.getCompactionInstantTime(metaClient);
|
||||
String compactionInstantTime = CompactionUtil.getCompactionInstantTime(metaClient);
|
||||
HoodieFlinkWriteClient writeClient = StreamerUtil.createWriteClient(conf, null);
|
||||
writeClient.scheduleCompactionAtInstant(instantTime, Option.empty());
|
||||
writeClient.scheduleCompactionAtInstant(compactionInstantTime, Option.empty());
|
||||
|
||||
HoodieFlinkTable<?> table = writeClient.getHoodieTable();
|
||||
// the last instant takes the highest priority.
|
||||
Option<HoodieInstant> compactionInstant = table.getActiveTimeline().filterPendingCompactionTimeline().lastInstant();
|
||||
String compactionInstantTime = compactionInstant.get().getTimestamp();
|
||||
|
||||
// generate compaction plan
|
||||
// should support configurable commit metadata
|
||||
HoodieCompactionPlan compactionPlan = CompactionUtils.getCompactionPlan(
|
||||
table.getMetaClient(), compactionInstantTime);
|
||||
table.getMetaClient(), compactionInstantTime);
|
||||
|
||||
HoodieInstant instant = HoodieTimeline.getCompactionRequestedInstant(compactionInstantTime);
|
||||
|
||||
env.addSource(new CompactionPlanSourceFunction(table, instant, compactionPlan, compactionInstantTime))
|
||||
.name("compaction_source")
|
||||
.uid("uid_compaction_source")
|
||||
.rebalance()
|
||||
.transform("compact_task",
|
||||
TypeInformation.of(CompactionCommitEvent.class),
|
||||
new ProcessOperator<>(new NonKeyedCompactFunction(conf)))
|
||||
.setParallelism(compactionPlan.getOperations().size())
|
||||
.addSink(new CompactionCommitSink(conf))
|
||||
.name("clean_commits")
|
||||
.uid("uid_clean_commits")
|
||||
.setParallelism(1);
|
||||
.name("compaction_source")
|
||||
.uid("uid_compaction_source")
|
||||
.rebalance()
|
||||
.transform("compact_task",
|
||||
TypeInformation.of(CompactionCommitEvent.class),
|
||||
new ProcessOperator<>(new CompactFunction(conf)))
|
||||
.setParallelism(compactionPlan.getOperations().size())
|
||||
.addSink(new CompactionCommitSink(conf))
|
||||
.name("clean_commits")
|
||||
.uid("uid_clean_commits")
|
||||
.setParallelism(1);
|
||||
|
||||
env.execute("flink_hudi_compaction");
|
||||
TestData.checkWrittenFullData(tempFile, EXPECTED);
|
||||
@@ -284,12 +278,12 @@ public class StreamWriteITCase extends TestLogger {
|
||||
.readFile(format, sourcePath, FileProcessingMode.PROCESS_CONTINUOUSLY, 1000, typeInfo)
|
||||
.map(record -> deserializationSchema.deserialize(record.getBytes(StandardCharsets.UTF_8)))
|
||||
.setParallelism(4)
|
||||
.map(new RowDataToHoodieFunction<>(rowType, conf), TypeInformation.of(HoodieRecord.class));
|
||||
.map(new RowDataToHoodieFunction<>(rowType, conf), TypeInformation.of(HoodieRecord.class));
|
||||
|
||||
if (conf.getBoolean(FlinkOptions.INDEX_BOOTSTRAP_ENABLED)) {
|
||||
hoodieDataStream = hoodieDataStream.transform("index_bootstrap",
|
||||
TypeInformation.of(HoodieRecord.class),
|
||||
new ProcessOperator<>(new BootstrapFunction<>(conf)));
|
||||
TypeInformation.of(HoodieRecord.class),
|
||||
new ProcessOperator<>(new BootstrapFunction<>(conf)));
|
||||
}
|
||||
|
||||
DataStream<Object> pipeline = hoodieDataStream
|
||||
@@ -314,10 +308,10 @@ public class StreamWriteITCase extends TestLogger {
|
||||
new CompactionPlanOperator(conf))
|
||||
.uid("uid_compact_plan_generate")
|
||||
.setParallelism(1) // plan generate must be singleton
|
||||
.keyBy(event -> event.getOperation().hashCode())
|
||||
.rebalance()
|
||||
.transform("compact_task",
|
||||
TypeInformation.of(CompactionCommitEvent.class),
|
||||
new KeyedProcessOperator<>(new CompactFunction(conf)))
|
||||
new ProcessOperator<>(new CompactFunction(conf)))
|
||||
.addSink(new CompactionCommitSink(conf))
|
||||
.name("compact_commit")
|
||||
.setParallelism(1);
|
||||
|
||||
@@ -28,11 +28,13 @@ import org.apache.hudi.common.table.TableSchemaResolver;
|
||||
import org.apache.hudi.common.table.timeline.HoodieActiveTimeline;
|
||||
import org.apache.hudi.common.table.timeline.HoodieInstant;
|
||||
import org.apache.hudi.config.HoodieWriteConfig;
|
||||
import org.apache.hudi.configuration.FlinkOptions;
|
||||
import org.apache.hudi.table.HoodieFlinkTable;
|
||||
import org.apache.hudi.util.StreamerUtil;
|
||||
import org.apache.hudi.utils.TestData;
|
||||
|
||||
import org.apache.avro.Schema;
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
import org.apache.hadoop.fs.FileSystem;
|
||||
import org.junit.jupiter.api.BeforeEach;
|
||||
import org.junit.jupiter.api.Disabled;
|
||||
@@ -62,6 +64,11 @@ public class TestWriteMergeOnRead extends TestWriteCopyOnWrite {
|
||||
new FlinkTaskContextSupplier(null));
|
||||
}
|
||||
|
||||
@Override
|
||||
protected void setUp(Configuration conf) {
|
||||
conf.setBoolean(FlinkOptions.COMPACTION_ASYNC_ENABLED, false);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected void checkWrittenData(File baseFile, Map<String, String> expected, int partitions) throws Exception {
|
||||
HoodieTableMetaClient metaClient = HoodieFlinkTable.create(writeConfig, context).getMetaClient();
|
||||
|
||||
@@ -31,6 +31,7 @@ import org.apache.hudi.sink.event.BatchWriteSuccessEvent;
|
||||
import org.apache.hudi.sink.partitioner.BucketAssignFunction;
|
||||
import org.apache.hudi.sink.partitioner.BucketAssignOperator;
|
||||
import org.apache.hudi.sink.transform.RowDataToHoodieFunction;
|
||||
import org.apache.hudi.util.StreamerUtil;
|
||||
import org.apache.hudi.utils.TestConfigurations;
|
||||
|
||||
import org.apache.flink.configuration.Configuration;
|
||||
@@ -53,6 +54,7 @@ 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.
|
||||
@@ -82,6 +84,8 @@ public class StreamWriteFunctionWrapper<I> {
|
||||
|
||||
private CompactFunctionWrapper compactFunctionWrapper;
|
||||
|
||||
private final boolean asyncCompaction;
|
||||
|
||||
public StreamWriteFunctionWrapper(String tablePath) throws Exception {
|
||||
this(tablePath, TestConfigurations.getDefaultConf(tablePath));
|
||||
}
|
||||
@@ -103,6 +107,7 @@ public class StreamWriteFunctionWrapper<I> {
|
||||
this.bucketAssignOperatorContext = new MockBucketAssignOperatorContext();
|
||||
this.functionInitializationContext = new MockFunctionInitializationContext();
|
||||
this.compactFunctionWrapper = new CompactFunctionWrapper(this.conf);
|
||||
this.asyncCompaction = StreamerUtil.needsAsyncCompaction(conf);
|
||||
this.bucketAssignOperatorContext = new MockBucketAssignOperatorContext();
|
||||
}
|
||||
|
||||
@@ -131,7 +136,7 @@ public class StreamWriteFunctionWrapper<I> {
|
||||
writeFunction.setOperatorEventGateway(gateway);
|
||||
writeFunction.open(conf);
|
||||
|
||||
if (conf.getBoolean(FlinkOptions.COMPACTION_ASYNC_ENABLED)) {
|
||||
if (asyncCompaction) {
|
||||
compactFunctionWrapper.openFunction();
|
||||
}
|
||||
}
|
||||
@@ -208,10 +213,19 @@ 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 (conf.getBoolean(FlinkOptions.COMPACTION_ASYNC_ENABLED)) {
|
||||
if (asyncCompaction) {
|
||||
try {
|
||||
compactFunctionWrapper.compact(checkpointId);
|
||||
} catch (Exception e) {
|
||||
|
||||
Reference in New Issue
Block a user