qinjunjerry commented on a change in pull request #13309:
URL: https://github.com/apache/flink/pull/13309#discussion_r483211118
##########
File path:
flink-libraries/flink-state-processing-api/src/main/java/org/apache/flink/state/api/WritableSavepoint.java
##########
@@ -90,38 +93,37 @@ public final void write(String path) {
List<OperatorState> existingOperators =
metadata.getExistingOperators();
- DataSet<OperatorState> finalOperatorStates =
unionOperatorStates(newOperatorStates, existingOperators);
-
- finalOperatorStates
- .reduceGroup(new
MergeOperatorStates(metadata.getMasterStates()))
- .name("reduce(OperatorState)")
- .output(new SavepointOutputFormat(savepointPath))
- .name(path);
- }
-
- private DataSet<OperatorState>
unionOperatorStates(DataSet<OperatorState> newOperatorStates,
List<OperatorState> existingOperators) {
DataSet<OperatorState> finalOperatorStates;
if (existingOperators.isEmpty()) {
finalOperatorStates = newOperatorStates;
} else {
- DataSet<OperatorState> wrappedCollection =
newOperatorStates
- .getExecutionEnvironment()
+ DataSet<OperatorState> existingOperatorStates =
newOperatorStates.getExecutionEnvironment()
.fromCollection(existingOperators);
- finalOperatorStates =
newOperatorStates.union(wrappedCollection);
+ existingOperatorStates
+ .flatMap(new StatePathExtractor())
Review comment:
If we have a huge savepoint (e.g., in TB range) to process, do we also
do with parallelism=1? meaning only one thread does the file copy, potentially
many of them.
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