Yohahaha commented on code in PR #2523:
URL: https://github.com/apache/fluss/pull/2523#discussion_r2754549846
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fluss-spark/fluss-spark-common/src/main/scala/org/apache/fluss/spark/read/FlussUpsertPartitionReader.scala:
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@@ -50,39 +90,153 @@ class FlussUpsertPartitionReader(
return false
}
- if (snapshotIterator == null || !snapshotIterator.hasNext) {
- // Try to get next batch from snapshot scanner
- val batch = snapshotScanner.pollBatch(POLL_TIMEOUT)
- if (batch == null) {
- // No more data fetched.
- false
+ if (mergedIterator.hasNext) {
+ currentRow = convertToSparkRow(mergedIterator.next())
+ true
+ } else {
+ false
+ }
+ }
+
+ private def createSortMergeReader(): SortMergeReader = {
+ // Create key encoder for primary keys
+ val keyEncoder =
+ encode.KeyEncoder.ofPrimaryKeyEncoder(
+ rowType,
+ tableInfo.getPhysicalPrimaryKeys,
+ tableInfo.getTableConfig,
+ tableInfo.isDefaultBucketKey)
+
+ // Create comparators based on primary key
+ val comparator = new Comparator[InternalRow] {
+ override def compare(o1: InternalRow, o2: InternalRow): Int = {
+ val key1 = keyEncoder.encodeKey(o1)
+ val key2 = keyEncoder.encodeKey(o2)
+ MemorySegment.wrap(key1).compare(MemorySegment.wrap(key2), 0, 0,
key1.length)
+ }
+ }
+
+ def createLogChangesIterator(): LogChangesIterator = {
+ // Initialize the log scanner
+ logScanner =
table.newScan().project(projectionWithPks).createLogScanner()
+ if (tableBucket.getPartitionId == null) {
+ logScanner.subscribe(tableBucket.getBucket, logStartingOffset)
} else {
- snapshotIterator = batch
- if (snapshotIterator.hasNext) {
- currentRow = convertToSparkRow(snapshotIterator.next())
- true
- } else {
- // Poll a new batch
- next()
+ logScanner.subscribe(tableBucket.getPartitionId,
tableBucket.getBucket, logStartingOffset)
+ }
+
+ // Collect all log records until logStoppingOffset
+ val allLogRecords = mutable.ArrayBuffer[ScanRecord]()
Review Comment:
we need to fetch by size to avoid OOM when log store has huge records.
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