⚡️ Speed up method ValkeyDB._build_list_query by 58%
#13
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📄 58% (0.58x) speedup for
ValkeyDB._build_list_queryinmem0/vector_stores/valkey.py⏱️ Runtime :
6.81 microseconds→4.32 microseconds(best of41runs)📝 Explanation and details
The optimization eliminates a costly double iteration over the
filtersdictionary that was present in the original code.Key changes:
any(value is not None for key, value in filters.items())which iterates through all filters, then immediately iterates again in the for loop. The optimized version performs only a single iteration.if not filters: return "*"check to avoid any processing when no filters are provided.qand returned values directly from each branch.Why this is faster:
The original code's
any()generator expression creates an unnecessary O(n) pass through the filters dictionary before the main processing loop. For dictionaries with multiple key-value pairs, this doubles the iteration cost. The optimized version processes each filter exactly once, building the conditions list directly and checking its emptiness afterward.Performance characteristics:
Based on the profiler results, this optimization is particularly effective when filters contain valid (non-None) values, as it eliminates the redundant validation pass. The 57% speedup demonstrates the significant cost of the double iteration pattern in Python, especially for dictionary traversal operations.
✅ Correctness verification report:
⏪ Replay Tests and Runtime
test_pytest_testsconfigstest_prompts_py_testsvector_storestest_weaviate_py_testsllmstest_deepseek_py_test__replay_test_0.py::test_mem0_vector_stores_valkey_ValkeyDB__build_list_queryTo edit these changes
git checkout codeflash/optimize-ValkeyDB._build_list_query-mhl49kduand push.