From 9492802c5f2ea58e3870a7d02d8811681ac0b5d8 Mon Sep 17 00:00:00 2001
From: zenfenan <sivaprasanna246@gmail.com>
Date: Tue, 14 Jul 2026 23:48:12 +0200
Subject: [PATCH] feat: Fuse partition and metrics filtering into manifest
 entry deserialization

---
 pyiceberg/manifest.py       | 36 +++++++++++++++++++++++++++++++++++-
 pyiceberg/table/__init__.py |  6 +-----
 2 files changed, 36 insertions(+), 6 deletions(-)

diff --git a/pyiceberg/manifest.py b/pyiceberg/manifest.py
index 9842f79d8e..cd19e74cac 100644
--- a/pyiceberg/manifest.py
+++ b/pyiceberg/manifest.py
@@ -19,7 +19,7 @@
 import math
 import threading
 from abc import ABC, abstractmethod
-from collections.abc import Iterator
+from collections.abc import Callable, Iterator
 from copy import copy
 from enum import Enum
 from types import TracebackType
@@ -883,6 +883,40 @@ def fetch_manifest_entry(self, io: FileIO, discard_deleted: bool = True) -> list
                 if not discard_deleted or entry.status != ManifestEntryStatus.DELETED
             ]
 
+    def prune_manifest_entry(
+        self, io: FileIO, partition_filter: Callable[[DataFile], bool], metrics_evaluator: Callable[[DataFile], bool]
+    ) -> list[ManifestEntry]:
+        """
+        Read manifest entries, applying partition and metrics evaluator during deserialization.
+
+        Unlike fetch_manifest_entry followed by a separate filer pass, this fuses filtering
+        into the deserialization loop, avoiding the intermediate list allocation for
+        non-matching entries.
+
+        Args:
+            io: The FileIO to fetch the file.
+            partition_filter: Evaluates the entry's partition data.
+            metrics_evaluator: Evaluates the entry's column-level metrics.
+
+        Returns:
+            An Iterator of manifest entries matching both filters.
+        """
+        input_file = io.new_input(self.manifest_path)
+        with AvroFile[ManifestEntry](
+            input_file,
+            MANIFEST_ENTRY_SCHEMAS[DEFAULT_READ_VERSION],
+            read_types={-1: ManifestEntry, 2: DataFile},
+            read_enums={0: ManifestEntryStatus, 101: FileFormat, 134: DataFileContent},
+        ) as reader:
+            result = []
+            for entry in reader:
+                if entry.status != ManifestEntryStatus.DELETED:
+                    _inherit_from_manifest(entry, self)
+                    if partition_filter(entry.data_file) and metrics_evaluator(entry.data_file):
+                        result.append(entry)
+
+            return result
+
     def __eq__(self, other: Any) -> bool:
         """Return the equality of two instances of the ManifestFile class."""
         return self.manifest_path == other.manifest_path if isinstance(other, ManifestFile) else False
diff --git a/pyiceberg/table/__init__.py b/pyiceberg/table/__init__.py
index 63b87d290e..a02a607c4c 100644
--- a/pyiceberg/table/__init__.py
+++ b/pyiceberg/table/__init__.py
@@ -2151,11 +2151,7 @@ def _open_manifest(
     Returns:
         A list of ManifestEntry that matches the provided filters.
     """
-    return [
-        manifest_entry
-        for manifest_entry in manifest.fetch_manifest_entry(io, discard_deleted=True)
-        if partition_filter(manifest_entry.data_file) and metrics_evaluator(manifest_entry.data_file)
-    ]
+    return manifest.prune_manifest_entry(io, partition_filter, metrics_evaluator)
 
 
 def _min_sequence_number(manifests: list[ManifestFile]) -> int: