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[HUDI-1557] Make Flink write pipeline write task scalable (#2506)

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This is the #step 2 of RFC-24:
https://cwiki.apache.org/confluence/display/HUDI/RFC+-+24%3A+Hoodie+Flink+Writer+Proposal

This PR introduce a BucketAssigner that assigns bucket ID (partition
path & fileID) for each stream record.

There is no need to look up index and partition the records anymore in
the following pipeline for these records,
we actually decide the write target location before the write and each
record computes its location when the BucketAssigner receives it, thus,
the indexing is with streaming style.

Computing locations for a batch of records all at a time is resource
consuming so a pressure to the engine,
we should avoid that in streaming system.
This commit is contained in:
Danny Chan
2021-02-06 22:03:52 +08:00
committed by GitHub
parent 291f92069e
commit 4c5b6923cc
30 changed files with 1435 additions and 393 deletions
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6
hudi-common/src/main/java/org/apache/hudi/common/table/timeline/HoodieActiveTimeline.java
View File

@@ -167,6 +167,12 @@ public class HoodieActiveTimeline extends HoodieDefaultTimeline {
deleteInstantFile(instant);
}
public void deletePending(HoodieInstant.State state, String action, String instantStr) {
HoodieInstant instant = new HoodieInstant(state, action, instantStr);
ValidationUtils.checkArgument(!instant.isCompleted());
deleteInstantFile(instant);
}
public void deleteCompactionRequested(HoodieInstant instant) {
ValidationUtils.checkArgument(instant.isRequested());
ValidationUtils.checkArgument(Objects.equals(instant.getAction(), HoodieTimeline.COMPACTION_ACTION));