huaxingao commented on code in PR #6622:
URL: https://github.com/apache/iceberg/pull/6622#discussion_r1096626306


##########
spark/v3.3/spark/src/main/java/org/apache/iceberg/spark/source/SparkScanBuilder.java:
##########
@@ -158,6 +182,130 @@ public Filter[] pushedFilters() {
     return pushedFilters;
   }
 
+  @Override
+  public boolean pushAggregation(Aggregation aggregation) {
+    if (!pushDownAggregate(aggregation)) {
+      return false;
+    }
+
+    AggregateEvaluator aggregateEvaluator;
+    try {
+      List<Expression> aggregates =
+          Arrays.stream(aggregation.aggregateExpressions())
+              .map(agg -> SparkAggregates.convert(agg))
+              .collect(Collectors.toList());
+      aggregateEvaluator = AggregateEvaluator.create(schema, aggregates);
+    } catch (Exception e) {
+      LOG.info("Can't push down aggregates: " + e.getMessage());
+      return false;
+    }
+
+    if 
(!metricsModeSupportsAggregatePushDown(aggregateEvaluator.aggregates())) {
+      LOG.info("The MetricsMode doesn't support aggregate push down.");
+      return false;
+    }
+
+    List<ManifestFile> manifests = 
table.currentSnapshot().allManifests(table.io());
+
+    for (ManifestFile manifest : manifests) {
+      try (ManifestReader<DataFile> reader = ManifestFiles.read(manifest, 
table.io())) {
+        for (DataFile dataFile : reader) {
+          aggregateEvaluator.update(dataFile.copy());
+        }
+      } catch (IOException e) {
+        LOG.info("Can't push down aggregates: " + e.getMessage());
+        return false;
+      }
+    }

Review Comment:
   Thanks for your comment. This has been changed to use scan planning for 
parallel reading



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