Multiprocessing support

src/zarr/core/sync.py

@@ -3,6 +3,7 @@
 import asyncio
 import atexit
 import logging
+import os
 import threading
 from concurrent.futures import ThreadPoolExecutor, wait
 from typing import TYPE_CHECKING, TypeVar
@@ -89,6 +90,22 @@
 atexit.register(cleanup_resources)
 
 
+def reset_resources_after_fork() -> None:
+    """
+    Ensure that global resources are reset after a fork. Without this function,
+    forked processes will retain invalid references to the parent process's resources.
+    """
+    global loop, iothread, _executor
+    loop[0] = None
+    iothread[0] = None
+    _executor = None
+
+
+# this is only available on certain operating systems
+if hasattr(os, "register_at_fork"):
+    os.register_at_fork(after_in_child=reset_resources_after_fork)
+
+
 async def _runner(coro: Coroutine[Any, Any, T]) -> T | BaseException:
     """
     Await a coroutine and return the result of running it. If awaiting the coroutine raises an

tests/test_array.py

@@ -1,8 +1,10 @@
 import dataclasses
 import json
 import math
+import multiprocessing as mp
 import pickle
 import re
+import sys
 from itertools import accumulate
 from typing import TYPE_CHECKING, Any, Literal
 from unittest import mock
@@ -1382,3 +1384,39 @@ def test_roundtrip_numcodecs() -> None:
     metadata = root["test"].metadata.to_dict()
     expected = (*filters, BYTES_CODEC, *compressors)
     assert metadata["codecs"] == expected
+
+
+def _index_array(arr: Array, index: Any) -> Any:
+    return arr[index]
+
+
+@pytest.mark.parametrize(
+    "method",
+    [
+        pytest.param(
+            "fork",
+            marks=pytest.mark.skipif(
+                sys.platform in ("win32", "darwin"), reason="fork not supported on Windows or OSX"
+            ),
+        ),
+        "spawn",
+        pytest.param(
+            "forkserver",
+            marks=pytest.mark.skipif(
+                sys.platform == "win32", reason="forkserver not supported on Windows"
+            ),
+        ),
+    ],
+)
+@pytest.mark.parametrize("store", ["local"], indirect=True)
+def test_multiprocessing(store: Store, method: Literal["fork", "spawn"]) -> None:
+    """
+    Test that arrays can be pickled and indexed in child processes
+    """
+    data = np.arange(100)
+    arr = zarr.create_array(store=store, data=data)
+    ctx = mp.get_context(method)
+    pool = ctx.Pool()
+
+    results = pool.starmap(_index_array, [(arr, slice(len(data)))])
+    assert all(np.array_equal(r, data) for r in results)