add LRU eviction for mooncacke embedding cache (#25954)
Signed-off-by: Michael Qiu <qiudayu.qdy@antgroup.com> Co-authored-by: Mike_Qiu <qiudayu.qdy@antgroup.com> Co-authored-by: siyu <liusy58@linux.alibaba.com> Co-authored-by: Yuang Chen <1131578721@qq.com>
This commit is contained in:
co-authored by
Mike_Qiu
siyu
Yuang Chen
parent
e1164a6dfc
commit
0a1fb0da86
@@ -0,0 +1,716 @@
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"""Unit tests for EmbeddingCacheController — LRU eviction and RDMA ref counting."""
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from sglang.test.ci.ci_register import register_cpu_ci
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register_cpu_ci(est_time=5, suite="base-a-test-cpu")
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import threading
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import time
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import unittest
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from unittest.mock import MagicMock
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import torch
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from sglang.srt.mem_cache.storage.mooncake_store.embedding_cache_controller import (
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ContiguousMemoryAllocator,
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EmbeddingCacheController,
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EmbeddingInsertOperation,
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)
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# ---------------------------------------------------------------------------
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# ContiguousMemoryAllocator tests
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# ---------------------------------------------------------------------------
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class TestContiguousMemoryAllocator(unittest.TestCase):
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def test_basic_alloc_free(self):
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alloc = ContiguousMemoryAllocator(1024)
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a = alloc.allocate(256)
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self.assertIsNotNone(a)
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self.assertEqual(a, 0)
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b = alloc.allocate(256)
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self.assertEqual(b, 256)
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alloc.free(a, 256)
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c = alloc.allocate(128)
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self.assertEqual(c, 0) # reused freed block
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def test_alloc_fails_when_full(self):
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alloc = ContiguousMemoryAllocator(256)
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a = alloc.allocate(256)
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self.assertIsNotNone(a)
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b = alloc.allocate(1)
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self.assertIsNone(b)
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def test_free_merges_adjacent(self):
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alloc = ContiguousMemoryAllocator(512)
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a = alloc.allocate(128)
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b = alloc.allocate(128)
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c = alloc.allocate(256)
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alloc.free(a, 128)
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alloc.free(b, 128)
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# The two 128-byte blocks should merge into one 256-byte free block
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d = alloc.allocate(256)
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self.assertIsNotNone(d)
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self.assertEqual(d, 0)
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def test_allocated_size_tracking(self):
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alloc = ContiguousMemoryAllocator(1024)
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self.assertEqual(alloc.get_allocated_size(), 0)
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a = alloc.allocate(300)
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self.assertEqual(alloc.get_allocated_size(), 300)
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b = alloc.allocate(200)
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self.assertEqual(alloc.get_allocated_size(), 500)
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alloc.free(a, 300)
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self.assertEqual(alloc.get_allocated_size(), 200)
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alloc.free(b, 200)
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self.assertEqual(alloc.get_allocated_size(), 0)
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def test_free_size_tracking(self):
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alloc = ContiguousMemoryAllocator(1024)
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self.assertEqual(alloc.get_free_size(), 1024)
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alloc.allocate(400)
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self.assertEqual(alloc.get_free_size(), 624)
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def test_double_free_is_safe(self):
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alloc = ContiguousMemoryAllocator(256)
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a = alloc.allocate(128)
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alloc.free(a, 128)
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# Second free of same offset — should not corrupt state
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alloc.free(a, 128)
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self.assertEqual(alloc.get_allocated_size(), 0)
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# ---------------------------------------------------------------------------
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# Helpers
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# ---------------------------------------------------------------------------
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def _make_controller(
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pool_mb=1.0, enable_eviction=True, hidden_dims=None, max_eviction_batch=10
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):
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"""Create an EmbeddingCacheController with a mocked MooncakeEmbeddingStore."""
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ctrl = EmbeddingCacheController.__new__(EmbeddingCacheController)
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ctrl.tp_world_size = 1
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ctrl.tp_group = None
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ctrl.tp_rank = 0
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ctrl.all_rank_get = False
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ctrl.hidden_dims = hidden_dims or {"image": 1024}
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ctrl.element_size = torch.float32.itemsize
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ctrl.enable_eviction = enable_eviction
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ctrl.max_eviction_batch = max_eviction_batch
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# Small pool for testing (1 MB by default)
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ctrl.total_pool_size_bytes = int(pool_mb * 1024**2)
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ctrl.cpu_pool = torch.empty(
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ctrl.total_pool_size_bytes, dtype=torch.uint8, pin_memory=False
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)
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# Mock the mooncake store — no real RDMA
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ctrl.mooncake_store = MagicMock()
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ctrl.mooncake_store.register_buffer = MagicMock()
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ctrl.allocator = ContiguousMemoryAllocator(ctrl.total_pool_size_bytes)
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ctrl.hash_to_metadata = {}
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ctrl.access_order = {}
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ctrl.access_lock = threading.Lock()
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ctrl.ref_counts = {}
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ctrl.stats = {
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"total_allocated": 0,
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"total_evicted": 0,
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"eviction_count": 0,
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"allocation_failures": 0,
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}
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ctrl.ongoing_prefetch = {}
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ctrl.prefetch_queue = MagicMock()
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ctrl.insert_queue = MagicMock()
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ctrl.lock = threading.Lock()
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ctrl.stop_event = threading.Event()
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# Do NOT start the IO thread — tests drive _io_loop logic manually
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ctrl.io_thread = MagicMock()
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ctrl.prefetch_tp_group = None
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return ctrl
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def _embedding_bytes(num_tokens, dim):
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return num_tokens * dim * torch.float32.itemsize
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# ---------------------------------------------------------------------------
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# LRU eviction tests
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# ---------------------------------------------------------------------------
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class TestLRUEviction(unittest.TestCase):
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def test_evict_oldest_first(self):
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dim = 64
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size = _embedding_bytes(1, dim) # 256 bytes
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# Pool exactly fits 3 entries (768 bytes)
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pool_bytes = size * 3
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ctrl = _make_controller(pool_mb=pool_bytes / (1024**2))
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# Insert 3 entries — fills the pool
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for i in range(3):
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h = f"hash_{i}"
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with ctrl.lock:
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offset = ctrl.allocator.allocate(size)
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self.assertIsNotNone(offset)
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ctrl.hash_to_metadata[h] = (offset, 1, dim, size)
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ctrl._update_access_time(h)
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# Pool is full. Inserting a 4th should evict hash_0 (oldest).
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h_new = "hash_new"
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with ctrl.lock:
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offset = ctrl._allocate_with_eviction(size)
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self.assertIsNotNone(offset)
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with ctrl.lock:
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self.assertNotIn("hash_0", ctrl.hash_to_metadata)
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self.assertIn("hash_1", ctrl.hash_to_metadata)
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self.assertIn("hash_2", ctrl.hash_to_metadata)
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def test_eviction_disabled(self):
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dim = 64
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size = _embedding_bytes(1, dim) # 256 bytes
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# Pool exactly fits 1 entry
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ctrl = _make_controller(pool_mb=size / (1024**2), enable_eviction=False)
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# Fill the pool
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with ctrl.lock:
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offset = ctrl.allocator.allocate(size)
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self.assertIsNotNone(offset)
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# Try to allocate more — should fail without eviction
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with ctrl.lock:
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offset2 = ctrl._allocate_with_eviction(size)
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self.assertIsNone(offset2)
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def test_access_time_updates_prevent_eviction(self):
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ctrl = _make_controller(pool_mb=0.01)
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dim = 64
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size = _embedding_bytes(1, dim)
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# Insert 2 entries
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hashes = []
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for i in range(2):
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h = f"hash_{i}"
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hashes.append(h)
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with ctrl.lock:
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offset = ctrl.allocator.allocate(size)
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ctrl.hash_to_metadata[h] = (offset, 1, dim, size)
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ctrl._update_access_time(h)
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# Touch hash_0 to make it recently used
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time.sleep(0.01)
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with ctrl.lock:
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ctrl._update_access_time("hash_0")
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# Trigger eviction — hash_1 should be evicted (older)
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with ctrl.lock:
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candidates = ctrl._select_eviction_candidates(size)
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self.assertIn("hash_1", candidates)
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self.assertNotIn("hash_0", candidates)
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def test_eviction_stats(self):
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ctrl = _make_controller(pool_mb=0.01)
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dim = 64
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size = _embedding_bytes(1, dim)
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# Insert and then evict
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with ctrl.lock:
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offset = ctrl.allocator.allocate(size)
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ctrl.hash_to_metadata["h"] = (offset, 1, dim, size)
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ctrl._update_access_time("h")
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with ctrl.lock:
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freed = ctrl._evict_hashes(["h"])
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self.assertGreater(freed, 0)
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self.assertEqual(ctrl.stats["eviction_count"], 1)
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self.assertGreater(ctrl.stats["total_evicted"], 0)
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def test_evict_nonexistent_hash(self):
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ctrl = _make_controller()
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with ctrl.lock:
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freed = ctrl._evict_hashes(["nonexistent"])
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self.assertEqual(freed, 0)
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def test_max_eviction_batch(self):
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ctrl = _make_controller(pool_mb=1.0, max_eviction_batch=2)
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dim = 64
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size = _embedding_bytes(1, dim)
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# Insert many small entries
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for i in range(10):
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h = f"hash_{i}"
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with ctrl.lock:
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offset = ctrl.allocator.allocate(size)
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if offset is None:
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break
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ctrl.hash_to_metadata[h] = (offset, 1, dim, size)
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ctrl._update_access_time(h)
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# _select_eviction_candidates should return at most 2
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with ctrl.lock:
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candidates = ctrl._select_eviction_candidates(size * 100)
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self.assertLessEqual(len(candidates), 2)
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# ---------------------------------------------------------------------------
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# Ref counting tests
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# ---------------------------------------------------------------------------
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class TestRefCounting(unittest.TestCase):
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def test_protect_prevents_eviction(self):
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ctrl = _make_controller()
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dim = 64
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size = _embedding_bytes(1, dim)
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with ctrl.lock:
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offset = ctrl.allocator.allocate(size)
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ctrl.hash_to_metadata["h"] = (offset, 1, dim, size)
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ctrl._update_access_time("h")
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ctrl._protect_hash("h")
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# Should not be selected for eviction
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with ctrl.lock:
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candidates = ctrl._select_eviction_candidates(size)
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self.assertNotIn("h", candidates)
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# Release and retry
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with ctrl.lock:
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ctrl._release_hash("h")
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candidates = ctrl._select_eviction_candidates(size)
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self.assertIn("h", candidates)
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def test_evict_hashes_skips_protected(self):
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ctrl = _make_controller()
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dim = 64
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size = _embedding_bytes(1, dim)
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with ctrl.lock:
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offset = ctrl.allocator.allocate(size)
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ctrl.hash_to_metadata["h"] = (offset, 1, dim, size)
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ctrl._update_access_time("h")
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ctrl._protect_hash("h")
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# Attempt to evict — should be skipped
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with ctrl.lock:
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freed = ctrl._evict_hashes(["h"])
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self.assertEqual(freed, 0)
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with ctrl.lock:
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self.assertIn("h", ctrl.hash_to_metadata)
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def test_ref_count_multiple_protects(self):
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ctrl = _make_controller()
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with ctrl.lock:
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ctrl._protect_hash("h")
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ctrl._protect_hash("h")
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self.assertEqual(ctrl.ref_counts["h"], 2)
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ctrl._release_hash("h")
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self.assertEqual(ctrl.ref_counts["h"], 1)
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# Still protected
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candidates = ctrl._select_eviction_candidates(1)
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self.assertNotIn("h", candidates)
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ctrl._release_hash("h")
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self.assertNotIn("h", ctrl.ref_counts)
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def test_release_nonexistent_is_safe(self):
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ctrl = _make_controller()
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with ctrl.lock:
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ctrl._release_hash("nonexistent") # should not raise
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def test_prefetch_sets_ref_count(self):
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"""prefetch() should set ref_count=1 for each new entry."""
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ctrl = _make_controller()
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dim = 64
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ctrl.hidden_dims = {"image": dim}
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h = "img_hash_1"
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ctrl.prefetch("req1", [h], [1], modality="image")
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with ctrl.lock:
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self.assertEqual(ctrl.ref_counts.get(h), 1)
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# Simulate RDMA completion
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with ctrl.lock:
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ctrl._release_hash(h)
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self.assertNotIn(h, ctrl.ref_counts)
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def test_insert_batch_sets_ref_count(self):
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"""insert_batch() should set ref_count=1 for each new entry."""
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ctrl = _make_controller()
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dim = 64
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h = "img_hash_1"
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tensor = torch.randn(1, dim)
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ctrl.insert_batch([h], [tensor])
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with ctrl.lock:
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self.assertEqual(ctrl.ref_counts.get(h), 1)
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# Simulate RDMA completion
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with ctrl.lock:
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ctrl._release_hash(h)
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self.assertNotIn(h, ctrl.ref_counts)
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def test_get_embeddings_sets_ref_count(self):
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"""get_embeddings() should set ref_count=1 per hash."""
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ctrl = _make_controller()
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dim = 64
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size = _embedding_bytes(1, dim)
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with ctrl.lock:
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offset = ctrl.allocator.allocate(size)
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ctrl.hash_to_metadata["h1"] = (offset, 1, dim, size)
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ctrl._update_access_time("h1")
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tensors = ctrl.get_embeddings(["h1"])
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self.assertIsNotNone(tensors[0])
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with ctrl.lock:
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self.assertEqual(ctrl.ref_counts.get("h1"), 1)
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# Protected — eviction should skip
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with ctrl.lock:
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candidates = ctrl._select_eviction_candidates(size)
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self.assertNotIn("h1", candidates)
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# Release
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ctrl.release_embeddings(["h1"])
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with ctrl.lock:
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self.assertNotIn("h1", ctrl.ref_counts)
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def test_get_embeddings_missing_hash(self):
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"""Missing hashes should return None and not set ref_count."""
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ctrl = _make_controller()
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tensors = ctrl.get_embeddings(["nonexistent"])
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self.assertIsNone(tensors[0])
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with ctrl.lock:
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self.assertNotIn("nonexistent", ctrl.ref_counts)
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def test_release_embeddings_missing_hash_is_safe(self):
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"""Releasing a hash that was never protected should be a no-op."""
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ctrl = _make_controller()
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ctrl.release_embeddings(["nonexistent"]) # should not raise
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def test_io_loop_releases_prefetch_ref(self):
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"""_io_loop should release ref_count after batch_get completes."""
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ctrl = _make_controller()
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dim = 64
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ctrl.hidden_dims = {"image": dim}
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h = "img_hash_1"
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ctrl.prefetch("req1", [h], [1], modality="image")
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with ctrl.lock:
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self.assertEqual(ctrl.ref_counts.get(h), 1)
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# Simulate _io_loop completing the RDMA GET
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op = ctrl.ongoing_prefetch.get("req1")
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self.assertIsNotNone(op)
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ctrl.mooncake_store.batch_get = MagicMock(return_value=[True])
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# Manually execute what _io_loop does for prefetch
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results = ctrl.mooncake_store.batch_get(op.keys, op.ptrs, op.sizes)
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op.mark_done(all(results))
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with ctrl.lock:
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for k in op.keys:
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ctrl._release_hash(k)
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with ctrl.lock:
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self.assertNotIn(h, ctrl.ref_counts)
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def test_io_loop_releases_insert_ref(self):
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"""_io_loop should release ref_count after batch_put completes."""
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ctrl = _make_controller()
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dim = 64
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h = "img_hash_1"
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tensor = torch.randn(1, dim)
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ctrl.insert_batch([h], [tensor])
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with ctrl.lock:
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self.assertEqual(ctrl.ref_counts.get(h), 1)
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# Get the enqueued insert operation
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ctrl.insert_queue.put.assert_called_once()
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insert_op = ctrl.insert_queue.put.call_args[0][0]
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self.assertIsInstance(insert_op, EmbeddingInsertOperation)
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# Simulate _io_loop completing the RDMA PUT
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ctrl.mooncake_store.batch_put = MagicMock()
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ctrl.mooncake_store.batch_put(insert_op.keys, insert_op.ptrs, insert_op.sizes)
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with ctrl.lock:
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for k in insert_op.keys:
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ctrl._release_hash(k)
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with ctrl.lock:
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self.assertNotIn(h, ctrl.ref_counts)
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# ---------------------------------------------------------------------------
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# Race condition prevention tests
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# ---------------------------------------------------------------------------
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class TestRDMAEvictionRacePrevention(unittest.TestCase):
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def test_eviction_during_prefetch_is_blocked(self):
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"""An entry with in-flight RDMA GET cannot be evicted."""
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ctrl = _make_controller(pool_mb=0.01)
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dim = 64
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ctrl.hidden_dims = {"image": dim}
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size = _embedding_bytes(1, dim)
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# Prefetch sets ref_count=1
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ctrl.prefetch("req1", ["h1"], [1], modality="image")
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|
||||
# Now try to evict to make room — should skip h1
|
||||
with ctrl.lock:
|
||||
candidates = ctrl._select_eviction_candidates(size * 10)
|
||||
self.assertNotIn("h1", candidates)
|
||||
|
||||
# Direct eviction should also be skipped
|
||||
with ctrl.lock:
|
||||
freed = ctrl._evict_hashes(["h1"])
|
||||
self.assertEqual(freed, 0)
|
||||
|
||||
def test_eviction_during_insert_is_blocked(self):
|
||||
"""An entry with in-flight RDMA PUT cannot be evicted."""
|
||||
ctrl = _make_controller(pool_mb=0.01)
|
||||
dim = 64
|
||||
tensor = torch.randn(1, dim)
|
||||
|
||||
ctrl.insert_batch(["h1"], [tensor])
|
||||
|
||||
with ctrl.lock:
|
||||
candidates = ctrl._select_eviction_candidates(999999)
|
||||
self.assertNotIn("h1", candidates)
|
||||
|
||||
with ctrl.lock:
|
||||
freed = ctrl._evict_hashes(["h1"])
|
||||
self.assertEqual(freed, 0)
|
||||
|
||||
def test_eviction_during_get_embeddings_is_blocked(self):
|
||||
"""An entry returned by get_embeddings() cannot be evicted."""
|
||||
ctrl = _make_controller(pool_mb=0.01)
|
||||
dim = 64
|
||||
size = _embedding_bytes(1, dim)
|
||||
|
||||
with ctrl.lock:
|
||||
offset = ctrl.allocator.allocate(size)
|
||||
ctrl.hash_to_metadata["h1"] = (offset, 1, dim, size)
|
||||
ctrl._update_access_time("h1")
|
||||
|
||||
tensors = ctrl.get_embeddings(["h1"])
|
||||
self.assertIsNotNone(tensors[0])
|
||||
|
||||
# Try to evict — should be blocked
|
||||
with ctrl.lock:
|
||||
candidates = ctrl._select_eviction_candidates(999999)
|
||||
self.assertNotIn("h1", candidates)
|
||||
|
||||
# Release and verify eviction is now possible
|
||||
ctrl.release_embeddings(["h1"])
|
||||
with ctrl.lock:
|
||||
candidates = ctrl._select_eviction_candidates(999999)
|
||||
self.assertIn("h1", candidates)
|
||||
|
||||
def test_concurrent_eviction_while_reading(self):
|
||||
"""Simulate a concurrent eviction attempt while a read holds a ref."""
|
||||
ctrl = _make_controller(pool_mb=0.05)
|
||||
dim = 64
|
||||
size = _embedding_bytes(1, dim)
|
||||
num_entries = 10
|
||||
|
||||
# Insert entries
|
||||
for i in range(num_entries):
|
||||
h = f"hash_{i}"
|
||||
with ctrl.lock:
|
||||
offset = ctrl.allocator.allocate(size)
|
||||
if offset is None:
|
||||
break
|
||||
ctrl.hash_to_metadata[h] = (offset, 1, dim, size)
|
||||
ctrl._update_access_time(h)
|
||||
|
||||
# Simulate get_embeddings holding refs on hash_0..hash_4
|
||||
held_hashes = [f"hash_{i}" for i in range(5)]
|
||||
tensors = ctrl.get_embeddings(held_hashes)
|
||||
|
||||
# Try to evict all — only unprotected entries should be candidates
|
||||
with ctrl.lock:
|
||||
candidates = ctrl._select_eviction_candidates(999999)
|
||||
for h in held_hashes:
|
||||
self.assertNotIn(h, candidates)
|
||||
|
||||
# Unprotected entries should be candidates
|
||||
for i in range(5, num_entries):
|
||||
h = f"hash_{i}"
|
||||
if h in ctrl.hash_to_metadata:
|
||||
self.assertIn(h, candidates)
|
||||
|
||||
# Release refs
|
||||
ctrl.release_embeddings(held_hashes)
|
||||
with ctrl.lock:
|
||||
candidates = ctrl._select_eviction_candidates(999999)
|
||||
for h in held_hashes:
|
||||
if h in ctrl.hash_to_metadata:
|
||||
self.assertIn(h, candidates)
|
||||
|
||||
def test_evict_hashes_cleans_up_ref_counts(self):
|
||||
"""After eviction, ref_counts for the evicted hash should be removed."""
|
||||
ctrl = _make_controller()
|
||||
dim = 64
|
||||
size = _embedding_bytes(1, dim)
|
||||
|
||||
with ctrl.lock:
|
||||
offset = ctrl.allocator.allocate(size)
|
||||
ctrl.hash_to_metadata["h"] = (offset, 1, dim, size)
|
||||
ctrl._update_access_time("h")
|
||||
# Stale ref_count (shouldn't happen normally, but test cleanup)
|
||||
ctrl.ref_counts["h"] = 0
|
||||
|
||||
with ctrl.lock:
|
||||
# ref_count is 0, so eviction should proceed
|
||||
freed = ctrl._evict_hashes(["h"])
|
||||
self.assertGreater(freed, 0)
|
||||
with ctrl.lock:
|
||||
self.assertNotIn("h", ctrl.hash_to_metadata)
|
||||
self.assertNotIn("h", ctrl.ref_counts)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# get_embeddings view safety tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestGetEmbeddingsViewSafety(unittest.TestCase):
|
||||
def test_get_embeddings_returns_view(self):
|
||||
"""get_embeddings returns a view into cpu_pool, not a copy."""
|
||||
ctrl = _make_controller()
|
||||
dim = 64
|
||||
size = _embedding_bytes(1, dim)
|
||||
|
||||
with ctrl.lock:
|
||||
offset = ctrl.allocator.allocate(size)
|
||||
ctrl.hash_to_metadata["h1"] = (offset, 1, dim, size)
|
||||
ctrl._update_access_time("h1")
|
||||
|
||||
tensors = ctrl.get_embeddings(["h1"])
|
||||
self.assertIsNotNone(tensors[0])
|
||||
self.assertEqual(tensors[0].shape, (1, dim))
|
||||
|
||||
# Verify it's a view into cpu_pool (shares storage)
|
||||
self.assertTrue(
|
||||
tensors[0].storage().data_ptr() == ctrl.cpu_pool.storage().data_ptr()
|
||||
)
|
||||
|
||||
# Release
|
||||
ctrl.release_embeddings(["h1"])
|
||||
|
||||
def test_data_preserved_while_ref_held(self):
|
||||
"""Data should remain intact as long as ref_count > 0."""
|
||||
ctrl = _make_controller()
|
||||
dim = 64
|
||||
size = _embedding_bytes(1, dim)
|
||||
|
||||
# Write known data
|
||||
with ctrl.lock:
|
||||
offset = ctrl.allocator.allocate(size)
|
||||
ctrl.hash_to_metadata["h1"] = (offset, 1, dim, size)
|
||||
ctrl._update_access_time("h1")
|
||||
view = (
|
||||
ctrl.cpu_pool[offset : offset + size].view(torch.float32).view(1, dim)
|
||||
)
|
||||
view.copy_(torch.ones(1, dim))
|
||||
|
||||
# Read via get_embeddings (holds ref)
|
||||
tensors = ctrl.get_embeddings(["h1"])
|
||||
self.assertTrue(torch.all(tensors[0] == 1.0))
|
||||
|
||||
# Verify data is still valid
|
||||
self.assertTrue(torch.all(tensors[0] == 1.0))
|
||||
|
||||
# Release
|
||||
ctrl.release_embeddings(["h1"])
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Stats tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestGetStats(unittest.TestCase):
|
||||
def test_stats_include_num_protected(self):
|
||||
ctrl = _make_controller()
|
||||
dim = 64
|
||||
size = _embedding_bytes(1, dim)
|
||||
|
||||
with ctrl.lock:
|
||||
offset = ctrl.allocator.allocate(size)
|
||||
ctrl.hash_to_metadata["h1"] = (offset, 1, dim, size)
|
||||
ctrl._update_access_time("h1")
|
||||
ctrl._protect_hash("h1")
|
||||
ctrl._protect_hash("h2") # h2 not in metadata, but has ref
|
||||
|
||||
stats = ctrl.get_stats()
|
||||
self.assertEqual(stats["num_protected"], 2)
|
||||
|
||||
def test_stats_eviction_tracking(self):
|
||||
ctrl = _make_controller(pool_mb=0.01)
|
||||
dim = 64
|
||||
size = _embedding_bytes(1, dim)
|
||||
|
||||
with ctrl.lock:
|
||||
offset = ctrl.allocator.allocate(size)
|
||||
ctrl.hash_to_metadata["h"] = (offset, 1, dim, size)
|
||||
ctrl._update_access_time("h")
|
||||
|
||||
with ctrl.lock:
|
||||
ctrl._evict_hashes(["h"])
|
||||
|
||||
stats = ctrl.get_stats()
|
||||
self.assertEqual(stats["eviction_count"], 1)
|
||||
self.assertGreater(stats["total_evicted"], 0)
|
||||
self.assertEqual(stats["num_cached"], 0)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# _select_eviction_candidates iterator safety test
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestEvictionCandidateIteratorSafety(unittest.TestCase):
|
||||
def test_list_snapshot_prevents_concurrent_mutation(self):
|
||||
"""sorted_hashes should be a list snapshot, not a live dict view."""
|
||||
ctrl = _make_controller()
|
||||
dim = 64
|
||||
size = _embedding_bytes(1, dim)
|
||||
|
||||
# Insert entries
|
||||
for i in range(5):
|
||||
h = f"hash_{i}"
|
||||
with ctrl.lock:
|
||||
offset = ctrl.allocator.allocate(size)
|
||||
if offset is None:
|
||||
break
|
||||
ctrl.hash_to_metadata[h] = (offset, 1, dim, size)
|
||||
ctrl._update_access_time(h)
|
||||
|
||||
# _select_eviction_candidates should work even if access_order
|
||||
# is modified during iteration (the snapshot via list() prevents this)
|
||||
with ctrl.lock:
|
||||
candidates = ctrl._select_eviction_candidates(size)
|
||||
# Should return candidates without RuntimeError
|
||||
self.assertIsInstance(candidates, list)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
Reference in New Issue
Block a user