luoyuxia commented on code in PR #2185:
URL: https://github.com/apache/fluss/pull/2185#discussion_r2646600392
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fluss-flink/fluss-flink-common/src/main/java/org/apache/fluss/flink/tiering/source/TieringSplitReader.java:
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@@ -339,30 +417,29 @@ private TableBucketWriteResult<WriteResult>
completeLakeWriter(
checkNotNull(currentTableNumberOfSplits));
}
- private TableBucketWriteResultWithSplitIds
forEmptySplits(Set<TieringLogSplit> emptySplits) {
+ private TableBucketWriteResultWithSplitIds
forEmptySplits(Set<TieringSplit> emptySplits) {
Map<TableBucket, TableBucketWriteResult<WriteResult>> writeResults =
new HashMap<>();
Map<TableBucket, String> finishedSplitIds = new HashMap<>();
- for (TieringLogSplit logSplit : emptySplits) {
- TableBucket tableBucket = logSplit.getTableBucket();
- finishedSplitIds.put(tableBucket, logSplit.splitId());
+ for (TieringSplit tieringSplit : emptySplits) {
+ TableBucket tableBucket = tieringSplit.getTableBucket();
+ finishedSplitIds.put(tableBucket, tieringSplit.splitId());
writeResults.put(
tableBucket,
toTableBucketWriteResult(
- logSplit.getTablePath(),
+ tieringSplit.getTablePath(),
tableBucket,
- logSplit.getPartitionName(),
+ tieringSplit.getPartitionName(),
null,
- logSplit.getStoppingOffset(),
+ UNKNOW_BUCKET_OFFSET,
Review Comment:
when the split is force-ignored, the result will be null which upstream
operator will just ignore it.
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