linliu-code commented on code in PR #9809:
URL: https://github.com/apache/hudi/pull/9809#discussion_r1343535439
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hudi-common/src/main/java/org/apache/hudi/common/model/HoodieRecordMerger.java:
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@@ -46,6 +46,28 @@ public interface HoodieRecordMerger extends Serializable {
*/
Option<Pair<HoodieRecord, Schema>> merge(HoodieRecord older, Schema
oldSchema, HoodieRecord newer, Schema newSchema, TypedProperties props) throws
IOException;
+
+ /**
+ * In some cases a business logic does some checks before flushing a merged
record to the disk.
+ * This method does the check and the returned value contains two boolean
variables.
+ * <p>
+ * The first variable indicates if the merged record should be flushed to
the disk or not.
+ * The second variable takes effect only when the first one is false, and it
indicates if
+ * the old record should be kept or not. That is,
+ * (1) (true, _): the merged one is flushed to the disk; the old record is
skipped.
+ * (2) (false, false): both records skipped, a delete operation.
+ * (3) (false, true): only the old record flushed to the disk.
+ *
+ * @param record the merged record.
+ * @param schema the schema of the merged record.
+ * @return a pair of boolean variables to indicate the flush decision.
+ *
+ * <p> This interface is experimental and might be evolved in the future.
+ **/
+ default Pair<Boolean, Boolean> shouldFlush(HoodieRecord record, Schema
schema, TypedProperties props) throws IOException {
Review Comment:
> if we're only going to have 3 cases, can we use an enum instead? I think
it can be more clear to the reader and future devs when implementing this
method. The overhead of a new `Pair` being created vs the enum singletons can
add up as well when processing 10s of thousands of records.
@the-other-tim-brown, sounds a good point.
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