pvary commented on code in PR #10331:
URL: https://github.com/apache/iceberg/pull/10331#discussion_r1599590876
##########
flink/v1.19/flink/src/main/java/org/apache/iceberg/flink/sink/shuffle/DataStatisticsOperator.java:
##########
@@ -47,151 +48,182 @@
* distribution to downstream subtasks.
*/
@Internal
-class DataStatisticsOperator<D extends DataStatistics<D, S>, S>
- extends AbstractStreamOperator<DataStatisticsOrRecord<D, S>>
- implements OneInputStreamOperator<RowData, DataStatisticsOrRecord<D, S>>,
OperatorEventHandler {
+public class DataStatisticsOperator extends
AbstractStreamOperator<StatisticsOrRecord>
+ implements OneInputStreamOperator<RowData, StatisticsOrRecord>,
OperatorEventHandler {
private static final long serialVersionUID = 1L;
private final String operatorName;
private final RowDataWrapper rowDataWrapper;
private final SortKey sortKey;
private final OperatorEventGateway operatorEventGateway;
- private final TypeSerializer<DataStatistics<D, S>> statisticsSerializer;
- private transient volatile DataStatistics<D, S> localStatistics;
- private transient volatile DataStatistics<D, S> globalStatistics;
- private transient ListState<DataStatistics<D, S>> globalStatisticsState;
+ private final int downstreamParallelism;
+ private final StatisticsType statisticsType;
+ private final TypeSerializer<DataStatistics> taskStatisticsSerializer;
+ private final TypeSerializer<AggregatedStatistics>
aggregatedStatisticsSerializer;
+
+ private transient int parallelism;
+ private transient int subtaskIndex;
+ private transient ListState<AggregatedStatistics> globalStatisticsState;
+ // current statistics type may be different from the config due to possible
+ // migration from Map statistics to Sketch statistics when high cardinality
detected
+ private transient volatile StatisticsType taskStatisticsType;
+ private transient volatile DataStatistics localStatistics;
+ private transient volatile AggregatedStatistics globalStatistics;
DataStatisticsOperator(
String operatorName,
Schema schema,
SortOrder sortOrder,
OperatorEventGateway operatorEventGateway,
- TypeSerializer<DataStatistics<D, S>> statisticsSerializer) {
+ int downstreamParallelism,
+ StatisticsType statisticsType) {
this.operatorName = operatorName;
this.rowDataWrapper = new RowDataWrapper(FlinkSchemaUtil.convert(schema),
schema.asStruct());
this.sortKey = new SortKey(schema, sortOrder);
this.operatorEventGateway = operatorEventGateway;
- this.statisticsSerializer = statisticsSerializer;
+ this.downstreamParallelism = downstreamParallelism;
+ this.statisticsType = statisticsType;
+
+ SortKeySerializer sortKeySerializer = new SortKeySerializer(schema,
sortOrder);
+ this.taskStatisticsSerializer = new
DataStatisticsSerializer(sortKeySerializer);
+ this.aggregatedStatisticsSerializer = new
AggregatedStatisticsSerializer(sortKeySerializer);
}
@Override
public void initializeState(StateInitializationContext context) throws
Exception {
- localStatistics = statisticsSerializer.createInstance();
- globalStatisticsState =
+ this.parallelism =
getRuntimeContext().getTaskInfo().getNumberOfParallelSubtasks();
+ this.subtaskIndex =
getRuntimeContext().getTaskInfo().getIndexOfThisSubtask();
+ this.globalStatisticsState =
context
.getOperatorStateStore()
.getUnionListState(
- new ListStateDescriptor<>("globalStatisticsState",
statisticsSerializer));
+ new ListStateDescriptor<>("globalStatisticsState",
aggregatedStatisticsSerializer));
if (context.isRestored()) {
- int subtaskIndex = getRuntimeContext().getIndexOfThisSubtask();
if (globalStatisticsState.get() == null
|| !globalStatisticsState.get().iterator().hasNext()) {
LOG.warn(
"Operator {} subtask {} doesn't have global statistics state to
restore",
operatorName,
subtaskIndex);
- globalStatistics = statisticsSerializer.createInstance();
} else {
LOG.info(
- "Restoring operator {} global statistics state for subtask {}",
- operatorName,
- subtaskIndex);
- globalStatistics = globalStatisticsState.get().iterator().next();
+ "Operator {} subtask {} restoring global statistics state",
operatorName, subtaskIndex);
+ this.globalStatistics = globalStatisticsState.get().iterator().next();
}
- } else {
- globalStatistics = statisticsSerializer.createInstance();
}
+
+ this.taskStatisticsType = StatisticsUtil.collectType(statisticsType,
globalStatistics);
+ this.localStatistics =
+ StatisticsUtil.createTaskStatistics(taskStatisticsType, parallelism,
downstreamParallelism);
}
@Override
public void open() throws Exception {
- if (!globalStatistics.isEmpty()) {
- output.collect(
- new
StreamRecord<>(DataStatisticsOrRecord.fromDataStatistics(globalStatistics)));
+ if (globalStatistics != null) {
+ output.collect(new
StreamRecord<>(StatisticsOrRecord.fromDataStatistics(globalStatistics)));
}
}
@Override
- @SuppressWarnings("unchecked")
public void handleOperatorEvent(OperatorEvent event) {
- int subtaskIndex = getRuntimeContext().getIndexOfThisSubtask();
Preconditions.checkArgument(
- event instanceof DataStatisticsEvent,
+ event instanceof StatisticsEvent,
String.format(
"Operator %s subtask %s received unexpected operator event %s",
operatorName, subtaskIndex, event.getClass()));
- DataStatisticsEvent<D, S> statisticsEvent = (DataStatisticsEvent<D, S>)
event;
+ StatisticsEvent statisticsEvent = (StatisticsEvent) event;
LOG.info(
- "Operator {} received global data event from coordinator checkpoint
{}",
+ "Operator {} subtask {} received global data event from coordinator
checkpoint {}",
operatorName,
+ subtaskIndex,
statisticsEvent.checkpointId());
globalStatistics =
- DataStatisticsUtil.deserializeDataStatistics(
- statisticsEvent.statisticsBytes(), statisticsSerializer);
- output.collect(new
StreamRecord<>(DataStatisticsOrRecord.fromDataStatistics(globalStatistics)));
+ StatisticsUtil.deserializeAggregatedStatistics(
+ statisticsEvent.statisticsBytes(), aggregatedStatisticsSerializer);
+ output.collect(new
StreamRecord<>(StatisticsOrRecord.fromDataStatistics(globalStatistics)));
}
+ @SuppressWarnings("unchecked")
@Override
public void processElement(StreamRecord<RowData> streamRecord) {
RowData record = streamRecord.getValue();
StructLike struct = rowDataWrapper.wrap(record);
sortKey.wrap(struct);
localStatistics.add(sortKey);
- output.collect(new
StreamRecord<>(DataStatisticsOrRecord.fromRecord(record)));
+
+ if (localStatistics.type() == StatisticsType.Map) {
+ Map<SortKey, Long> mapStatistics = (Map<SortKey, Long>)
localStatistics.result();
+ if (statisticsType == StatisticsType.Auto
Review Comment:
With `AUTO`, if any task, or coordinator decides that we move to sketch then
it might be a good idea for everyone to move to sketch to save memory, and
transformations.
Do we want to have an extra message in this case, or at least switch when a
global stat comes where we already switched to stat?
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