DOC: Add memory-mapping example to storage guide

docs/user-guide/storage.rst

@@ -99,6 +99,34 @@ Zarr data (metadata and chunks) to a dictionary.:
    >>> zarr.create_array(store=store, shape=(2,), dtype='float64')
    <Array memory://... shape=(2,) dtype=float64>
 
+Memory-Mapped Store
+~~~~~~~~~~~~~~~~~~~~
+
+For performance optimization when working with uncompressed data, you can create a memory-mapped store by subclassing :class:`zarr.storage.LocalStore`.
+Memory mapping allows direct access to portions of chunk data without loading entire chunks into memory, which can be beneficial when you need to
+read small slices from large chunks.:
+
+   >>> import mmap
+   >>> from zarr.storage import LocalStore
+   >>>
+   >>> class MemoryMappedDirectoryStore(LocalStore):
+   ...     def _fromfile(self, fn):
+   ...         with open(fn, "rb") as fh:
+   ...             return memoryview(mmap.mmap(fh.fileno(), 0, prot=mmap.PROT_READ))
+   >>>
+   >>> # Create an array with large chunks
+   >>> z = zarr.create_array('data/example.zarr', shape=(10000, 10000), chunks=(1000, 1000), dtype='float64')
+   >>> z[:] = 42  # Fill with test data
+   >>>
+   >>> # Open with memory mapping for efficient access
+   >>> mmap_store = MemoryMappedDirectoryStore('data/example.zarr')
+   >>> z = zarr.open_array(store=mmap_store)
+   >>>
+   >>> # Access small slices efficiently
+   >>> chunk_data = z[500:600, 500:600]  # Only maps the needed portion into memory
+   >>> chunk_data[0, 0]  # Verify data
+   42.0
+
 .. _user-guide-custom-stores:
 
 Developing custom stores

tests/test_store/test_mmap.py

@@ -0,0 +1,83 @@
+from __future__ import annotations
+
+import mmap
+from typing import TYPE_CHECKING
+
+import pytest
+
+import zarr
+from zarr.core.buffer import Buffer, cpu
+from zarr.storage import LocalStore
+from zarr.testing.store import StoreTests
+
+if TYPE_CHECKING:
+    import pathlib
+
+
+class MemoryMappedDirectoryStore(LocalStore):
+    def _fromfile(self, fn: str) -> memoryview:
+        with open(fn, "rb") as fh:
+            return memoryview(mmap.mmap(fh.fileno(), 0, prot=mmap.PROT_READ))
+
+
+class TestMemoryMappedDirectoryStore(StoreTests[MemoryMappedDirectoryStore, cpu.Buffer]):
+    store_cls = MemoryMappedDirectoryStore
+    buffer_cls = cpu.Buffer
+
+    async def get(self, store: MemoryMappedDirectoryStore, key: str) -> Buffer:
+        return self.buffer_cls.from_bytes((store.root / key).read_bytes())
+
+    async def set(self, store: MemoryMappedDirectoryStore, key: str, value: Buffer) -> None:
+        parent = (store.root / key).parent
+        if not parent.exists():
+            parent.mkdir(parents=True)
+        (store.root / key).write_bytes(value.to_bytes())
+
+    @pytest.fixture
+    def store_kwargs(self, tmpdir) -> dict[str, str]:
+        return {"root": str(tmpdir)}
+
+    def test_store_repr(self, store: MemoryMappedDirectoryStore) -> None:
+        assert str(store) == f"file://{store.root.as_posix()}"
+
+    def test_store_supports_writes(self, store: MemoryMappedDirectoryStore) -> None:
+        assert store.supports_writes
+
+    def test_store_supports_partial_writes(self, store: MemoryMappedDirectoryStore) -> None:
+        assert store.supports_partial_writes
+
+    def test_store_supports_listing(self, store: MemoryMappedDirectoryStore) -> None:
+        assert store.supports_listing
+
+    async def test_empty_with_empty_subdir(self, store: MemoryMappedDirectoryStore) -> None:
+        assert await store.is_empty("")
+        (store.root / "foo/bar").mkdir(parents=True)
+        assert await store.is_empty("")
+
+    def test_creates_new_directory(self, tmp_path: pathlib.Path):
+        target = tmp_path.joinpath("a", "b", "c")
+        assert not target.exists()
+
+        store = self.store_cls(root=target)
+        zarr.group(store=store)
+
+    async def test_mmap_slice_reads(self, store: MemoryMappedDirectoryStore) -> None:
+        """Test reading slices with memory mapping"""
+        # Create array with large chunks
+        z = zarr.create_array(store=store, shape=(2000, 2000), chunks=(1000, 1000), dtype="float64")
+        # Write test data
+        data = zarr.full(shape=(2000, 2000), chunks=(1000, 1000), fill_value=42.0, dtype="float64")
+        z[:] = data[:]
+
+        # Test reading various slices
+        slices = [
+            # Within single chunk
+            (slice(100, 200), slice(100, 200)),
+            # Across chunk boundaries
+            (slice(900, 1100), slice(900, 1100)),
+            # Full chunk
+            (slice(0, 1000), slice(0, 1000)),
+        ]
+
+        for test_slice in slices:
+            assert (z[test_slice] == data[test_slice]).all()