singhpk234 commented on code in PR #16176:
URL: https://github.com/apache/iceberg/pull/16176#discussion_r3175913919
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spark/v4.1/spark/src/main/java/org/apache/iceberg/spark/source/SparkScanBuilder.java:
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@@ -186,6 +196,213 @@ public boolean pushAggregation(Aggregation aggregation) {
return true;
}
+ /**
+ * Push down aggregation with GROUP BY on identity partition columns. When
all GROUP BY columns
+ * are identity partition fields, aggregates can be computed from file
metadata grouped by
+ * partition values, avoiding reading any data files.
+ */
+ private boolean pushGroupByAggregation(
+ Aggregation aggregation, List<BoundAggregate<?, ?>> boundAggregates) {
+ PartitionSpec spec = table().spec();
+ Schema tableSchema = table().schema();
+
+ List<Integer> groupByPositions = Lists.newArrayList();
+ List<Types.NestedField> groupByFields = Lists.newArrayList();
+ if (!resolveGroupByPartitions(
+ aggregation, spec, tableSchema, groupByPositions, groupByFields)) {
+ return false;
+ }
+
+ Map<List<Object>, AggregateEvaluator> evaluatorsByPartition =
+ groupFilesByPartition(spec, groupByPositions, boundAggregates);
Review Comment:
i am not confident this is correct, plus we are just checking the recent
partitioning, a table could comprise of lot of different partition spec files
which evolved across snapshots
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