rdblue commented on code in PR #6622:
URL: https://github.com/apache/iceberg/pull/6622#discussion_r1096366505


##########
spark/v3.3/spark/src/main/java/org/apache/iceberg/spark/source/SparkScanBuilder.java:
##########
@@ -158,6 +182,141 @@ 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 = getSnapshot().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;
+      }
+    }
+
+    Object[] res = aggregateEvaluator.result();
+    applyDataTypeConversionIfNecessary(res);
+
+    List<Object> valuesInSparkInternalRow = java.util.Arrays.asList(res);
+    this.pushedAggregateRows = new InternalRow[1];
+    pushedAggregateRows[0] =
+        
InternalRow.fromSeq(JavaConverters.asScalaBuffer(valuesInSparkInternalRow).toSeq());
+    pushedAggregateSchema =
+        SparkSchemaUtil.convert(new 
Schema(aggregateEvaluator.resultType().fields()));
+    return true;
+  }
+
+  private boolean pushDownAggregate(Aggregation aggregation) {
+    if (!(table instanceof BaseTable)) {
+      return false;
+    }
+
+    if (!readConf.aggregatePushDown()) {
+      return false;
+    }
+
+    Snapshot snapshot = getSnapshot();
+    if (snapshot == null) {
+      return false;
+    } else {
+      Map<String, String> map = snapshot.summary();
+      // if there are row-level deletes in current snapshot, the statistics
+      // maybe changed, so disable push down aggregate.
+      if (Integer.parseInt(map.getOrDefault("total-position-deletes", "0")) > 0
+          || Integer.parseInt(map.getOrDefault("total-equality-deletes", "0")) 
> 0) {
+        LOG.info("Cannot push down aggregates when row level deletes exist.)");

Review Comment:
   Log messages should be more direct. In this case, the main information is 
that the aggregate pushdown is skipped. The reason why is secondary, but 
important. Rather than making this a statement that needs to be interpreted ("X 
is not possible" -> "Iceberg didn't do X"), this should be "Skipped aggregate 
pushdown: detected row level deletes".
   
   In addition, I think that there are cases where you'd still want an answer 
from metadata. First, there may not be any matching delete files, so it could 
be safe. Second, it may be better to get an approximate answer. I think this 
should be handled using another setting that enables/disables aggregate 
pushdown when deletes are present. And for the first case, pushdown should only 
fail if there were delete files returned for at least one `FileScanTask` (as 
returned by `planFiles` called above).



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