danielcweeks commented on code in PR #7688:
URL: https://github.com/apache/iceberg/pull/7688#discussion_r1206095696


##########
core/src/main/java/org/apache/iceberg/BaseScan.java:
##########
@@ -256,4 +265,95 @@ private static Schema 
lazyColumnProjection(TableScanContext context, Schema sche
   public ThisT metricsReporter(MetricsReporter reporter) {
     return newRefinedScan(table(), schema(), context().reportWith(reporter));
   }
+
+  private Optional<Long> adaptiveSplitSize(long tableSplitSize) {
+    if (!PropertyUtil.propertyAsBoolean(
+        table.properties(),
+        TableProperties.ADAPTIVE_SPLIT_PLANNING,
+        TableProperties.ADAPTIVE_SPLIT_PLANNING_DEFAULT)) {
+      return Optional.empty();
+    }
+
+    int minParallelism =
+        PropertyUtil.propertyAsInt(
+            table.properties(),
+            TableProperties.SPLIT_MIN_PARALLELISM,
+            TableProperties.SPLIT_MIN_PARALLELISM_DEFAULT);
+
+    Preconditions.checkArgument(minParallelism > 0, "Minimum parallelism must 
be a positive value");
+
+    Snapshot snapshot =
+        Stream.of(context.snapshotId(), context.toSnapshotId())
+            .filter(Objects::nonNull)
+            .map(table::snapshot)
+            .findFirst()
+            .orElseGet(table::currentSnapshot);
+
+    if (snapshot == null || snapshot.summary() == null) {
+      return Optional.empty();
+    }
+
+    Map<String, String> summary = snapshot.summary();
+    long totalFiles =
+        PropertyUtil.propertyAsLong(summary, 
SnapshotSummary.TOTAL_DATA_FILES_PROP, 0);
+    long totalSize = PropertyUtil.propertyAsLong(summary, 
SnapshotSummary.TOTAL_FILE_SIZE_PROP, 0);
+
+    if (totalFiles <= 0 || totalSize <= 0) {
+      return Optional.empty();
+    }
+
+    if (totalFiles > minParallelism && totalSize >= tableSplitSize * 
minParallelism) {
+      // If it is possible that splits could normally be calculated to meet the
+      // minimum parallelism, do not adjust the split size
+      return Optional.empty();
+    }
+
+    FileFormat fileFormat =
+        FileFormat.fromString(
+            table
+                .properties()
+                .getOrDefault(
+                    TableProperties.DEFAULT_FILE_FORMAT,
+                    TableProperties.DEFAULT_FILE_FORMAT_DEFAULT));
+
+    if (!fileFormat.isSplittable()) {
+      return Optional.of(totalSize / totalFiles);
+    }
+
+    long rowGroupSize;
+
+    switch (fileFormat) {
+      case PARQUET:
+        rowGroupSize =
+            PropertyUtil.propertyAsLong(
+                table.properties(),
+                TableProperties.PARQUET_ROW_GROUP_SIZE_BYTES,
+                TableProperties.PARQUET_ROW_GROUP_SIZE_BYTES_DEFAULT);
+        break;
+      case ORC:
+        rowGroupSize =
+            PropertyUtil.propertyAsLong(
+                table.properties(),
+                TableProperties.ORC_BLOCK_SIZE_BYTES,
+                TableProperties.ORC_BLOCK_SIZE_BYTES_DEFAULT);
+        break;
+      case AVRO:
+        rowGroupSize = 16 * 1024 * 1024;
+        break;
+      default:
+        rowGroupSize = tableSplitSize;
+    }
+
+    if (totalFiles <= 1) {
+      // For a table with a single small file, default to the smallest of
+      // the configured table split size or the format block size
+      return Optional.of(Math.min(rowGroupSize, tableSplitSize));
+    }
+
+    long minSplitSize = totalSize / minParallelism;
+    // target split size chosen to provide the most parallelism
+    long targetSplitSize = Math.min(minSplitSize, rowGroupSize);
+
+    return Optional.of(targetSplitSize);

Review Comment:
   I don't think that's generally going to be the case.  Combining still 
happens and I'm not clear there's a situation where too many splits will be 
produced.



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