LadyForest commented on code in PR #138:
URL: https://github.com/apache/flink-table-store/pull/138#discussion_r882370652
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flink-table-store-connector/src/main/java/org/apache/flink/table/store/connector/TableStoreManagedFactory.java:
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@@ -183,6 +200,70 @@ public void onDropTable(Context context, boolean
ignoreIfNotExists) {
@Override
public Map<String, String> onCompactTable(
Context context, CatalogPartitionSpec catalogPartitionSpec) {
- throw new UnsupportedOperationException("Not implement yet");
+ Map<String, String> newOptions = new
HashMap<>(context.getCatalogTable().getOptions());
+ FileStore fileStore = buildTableStore(context).buildFileStore();
+ FileStoreScan.Plan plan =
+ fileStore
+ .newScan()
+ .withPartitionFilter(
+ PredicateConverter.CONVERTER.fromMap(
+
catalogPartitionSpec.getPartitionSpec(),
+ fileStore.partitionType()))
+ .plan();
+
+ Preconditions.checkState(
+ plan.snapshotId() != null && !plan.files().isEmpty(),
+ "The specified %s to compact does not exist any snapshot",
+ catalogPartitionSpec.getPartitionSpec().isEmpty()
+ ? "table"
+ : String.format("partition %s",
catalogPartitionSpec.getPartitionSpec()));
+ Map<BinaryRowData, Map<Integer, List<DataFileMeta>>> groupBy =
plan.groupByPartFiles();
+ if
(!Boolean.parseBoolean(newOptions.get(COMPACTION_RESCALE_BUCKET.key()))) {
+ groupBy =
+ pickManifest(
+ groupBy,
+ new
FileStoreOptions(Configuration.fromMap(newOptions))
+ .mergeTreeOptions(),
+ new
KeyComparatorSupplier(fileStore.partitionType()).get());
+ }
+ newOptions.put(
+ COMPACTION_SCANNED_MANIFEST.key(),
+ JsonSerdeUtil.toJson(new
PartitionedManifestMeta(plan.snapshotId(), groupBy)));
+ return newOptions;
+ }
+
+ @VisibleForTesting
+ Map<BinaryRowData, Map<Integer, List<DataFileMeta>>> pickManifest(
+ Map<BinaryRowData, Map<Integer, List<DataFileMeta>>> groupBy,
+ MergeTreeOptions options,
+ Comparator<RowData> keyComparator) {
+ Map<BinaryRowData, Map<Integer, List<DataFileMeta>>> filtered = new
HashMap<>();
+ UniversalCompaction compaction =
+ new UniversalCompaction(
+ options.maxSizeAmplificationPercent,
+ options.sizeRatio,
+ options.numSortedRunCompactionTrigger);
+
+ for (Map.Entry<BinaryRowData, Map<Integer, List<DataFileMeta>>>
partEntry :
+ groupBy.entrySet()) {
+ Map<Integer, List<DataFileMeta>> manifests = new HashMap<>();
+ for (Map.Entry<Integer, List<DataFileMeta>> bucketEntry :
+ partEntry.getValue().entrySet()) {
+ Levels levels =
Review Comment:
> 1. the file is too small, smaller than the target file size
> 2. there is overlap between the files (we can use IntervalPartition)
I wondered why we use different strategies for manual invoked compaction and
auto-compaction? Can we be sure that the proposed option can invoke universal
compaction? I've checked the logic in the universal compaction, and the pick
strategy is far more complicated than this one.
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