rahulsmahadev commented on code in PR #17622:
URL: https://github.com/apache/iceberg/pull/17622#discussion_r4291120774


##########
spark/v4.1/spark/src/main/java/org/apache/iceberg/spark/actions/RepairMetrics.java:
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@@ -0,0 +1,268 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.iceberg.spark.actions;
+
+import static org.apache.iceberg.TableProperties.DEFAULT_NAME_MAPPING;
+
+import java.nio.ByteBuffer;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import java.util.Set;
+import org.apache.iceberg.ContentFile;
+import org.apache.iceberg.DataFile;
+import org.apache.iceberg.DataFiles;
+import org.apache.iceberg.DeleteFile;
+import org.apache.iceberg.FileContent;
+import org.apache.iceberg.FileFormat;
+import org.apache.iceberg.FileMetadata;
+import org.apache.iceberg.MetadataColumns;
+import org.apache.iceberg.Metrics;
+import org.apache.iceberg.MetricsConfig;
+import org.apache.iceberg.MetricsUtil;
+import org.apache.iceberg.PartitionSpec;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.avro.Avro;
+import org.apache.iceberg.io.InputFile;
+import org.apache.iceberg.mapping.NameMapping;
+import org.apache.iceberg.mapping.NameMappingParser;
+import org.apache.iceberg.orc.OrcMetrics;
+import org.apache.iceberg.parquet.ParquetUtil;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableMap;
+import org.apache.iceberg.relocated.com.google.common.collect.ImmutableSet;
+import org.apache.iceberg.relocated.com.google.common.collect.Maps;
+import org.apache.iceberg.relocated.com.google.common.collect.Sets;
+import org.apache.iceberg.types.Type;
+import org.apache.iceberg.types.TypeUtil;
+
+/**
+ * Reads the statistics of data and delete files and compares them against the 
statistics recorded
+ * in manifest entries.
+ *
+ * <p>Recomputed statistics always respect the metrics config of the table so 
that they are
+ * comparable with the stored statistics.
+ */
+class RepairMetrics {
+
+  private static final Set<Integer> POSITION_DELETE_FIELD_IDS =
+      ImmutableSet.of(
+          MetadataColumns.DELETE_FILE_PATH.fieldId(), 
MetadataColumns.DELETE_FILE_POS.fieldId());
+
+  private RepairMetrics() {}
+
+  /** Returns the name mapping of the table, or null if the table does not 
define one. */
+  static NameMapping nameMapping(Table table) {
+    String mapping = table.properties().get(DEFAULT_NAME_MAPPING);
+    return mapping != null ? NameMappingParser.fromJson(mapping) : null;
+  }
+
+  /**
+   * Returns the metrics config to use when recomputing the statistics of the 
given file.
+   *
+   * <p>Position delete files record statistics for the path and position 
columns only, which is a
+   * fixed config rather than the config of the table.
+   */
+  static MetricsConfig metricsConfig(Table table, FileContent content) {
+    return content == FileContent.POSITION_DELETES
+        ? MetricsConfig.forPositionDelete()
+        : MetricsConfig.forTable(table);
+  }
+
+  /**
+   * Returns true if the statistics of the file can be recomputed by reading 
it.
+   *
+   * <p>Deletion vectors are stored as blobs inside a Puffin file, so their 
statistics cannot be
+   * derived by reading the file they are stored in.
+   */
+  static boolean supportsMetrics(ContentFile<?> file) {
+    FileFormat format = file.format();
+    return format == FileFormat.PARQUET || format == FileFormat.ORC || format 
== FileFormat.AVRO;
+  }
+
+  /** Recomputes recoverable statistics, preserving metrics that require 
writer-side tracking. */
+  static Metrics readMetrics(
+      InputFile input,
+      ContentFile<?> file,
+      MetricsConfig config,
+      NameMapping mapping,
+      Schema schema) {
+    Metrics metrics =
+        switch (file.format()) {
+          case PARQUET -> ParquetUtil.fileMetrics(input, config, mapping);
+          case ORC -> OrcMetrics.fromInputFile(input, config, mapping);
+          case AVRO -> new Metrics(Avro.rowCount(input));
+          default ->
+              throw new UnsupportedOperationException(
+                  "Cannot read metrics of format: " + file.format());
+        };
+    if (file.format() == FileFormat.AVRO) {
+      return recordCountOnly(file, metrics);
+    }
+
+    if (file.content() == FileContent.POSITION_DELETES) {
+      // Match PositionDeleteWriter: counts are omitted, and bounds are kept 
only for a single path.
+      int pathId = MetadataColumns.DELETE_FILE_PATH.fieldId();
+      ByteBuffer lowerPath = normalize(metrics.lowerBounds()).get(pathId);
+      ByteBuffer upperPath = normalize(metrics.upperBounds()).get(pathId);
+      metrics =
+          lowerPath != null && lowerPath.equals(upperPath)
+              ? MetricsUtil.copyWithoutFieldCounts(metrics, 
POSITION_DELETE_FIELD_IDS)
+              : MetricsUtil.copyWithoutFieldCountsAndBounds(metrics, 
POSITION_DELETE_FIELD_IDS);
+    }
+
+    // Footers cannot recover the writer-tracked statistics of some columns: 
the NaN counts and
+    // NaN-safe bounds of floating-point columns, and the bounding boxes of 
geometry and geography
+    // columns. Preserve the stored bounds of those columns so a correct file 
is not flagged as
+    // corrupt and rewritten with weaker statistics. Include stored NaN-count 
IDs so that bounds for
+    // dropped columns are preserved as well.
+    Set<Integer> preservedBoundIds = 
Sets.newHashSet(normalize(file.nanValueCounts()).keySet());
+    TypeUtil.indexById(schema.asStruct())
+        .forEach(
+            (id, field) -> {
+              Type.TypeID typeId = field.type().typeId();
+              if (typeId == Type.TypeID.FLOAT
+                  || typeId == Type.TypeID.DOUBLE
+                  || typeId == Type.TypeID.GEOMETRY
+                  || typeId == Type.TypeID.GEOGRAPHY) {
+                preservedBoundIds.add(id);
+              }
+            });
+
+    return new Metrics(
+        metrics.recordCount(),
+        metrics.columnSizes(),
+        metrics.valueCounts(),
+        metrics.nullValueCounts(),
+        file.nanValueCounts(),
+        preserveBounds(file.lowerBounds(), metrics.lowerBounds(), 
preservedBoundIds),
+        preserveBounds(file.upperBounds(), metrics.upperBounds(), 
preservedBoundIds),
+        file.totalBytes(),
+        null);
+  }
+
+  /**
+   * Returns true if the statistics recorded for the file differ from the 
statistics of the file
+   * itself.
+   *
+   * <p>The record count and the file size are always compared. Column level 
statistics are only
+   * compared when requested, because a table whose metrics config changed 
after a file was written
+   * reports statistics that legitimately differ from the recomputed ones.
+   */
+  static boolean statsAreIncorrect(

Review Comment:
   Done



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