Commit 115b250
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Optimize list_remove
The optimized code achieves a **7% runtime improvement** through two key changes:
**1. Eliminated redundant dictionary variable creation**
The original code creates `op_dict` unconditionally, then conditionally adds the `ctx` key, and finally returns it. The optimized version uses early returns with inline dictionary literals:
- When `ctx` is truthy: returns a 4-key dictionary immediately
- Otherwise: returns a 3-key dictionary immediately
This eliminates the intermediate variable and reduces memory operations.
**2. Replaced constant lookups with string literals**
The original code references module-level constants (`OP_KEY`, `BIN_KEY`, `INDEX_KEY`, `CTX_KEY`) for dictionary keys. The optimized version uses direct string literals (`"op"`, `"bin"`, `"index"`, `"ctx"`). While this seems minor, it removes ~4 attribute lookups per function call, which compounds when the function is called frequently.
**Why this matters:**
From the line profiler data:
- Original: `op_dict = {OP_KEY: ...}` takes **35.8%** of total time (1.797ms)
- Optimized: The conditional check `if ctx:` only takes **37.1%** of total time (1.288ms), but performs more efficiently overall
The optimization is particularly effective for the common case (no `ctx` provided, which occurs in 2297 of 2312 calls = 99.4%). Test results confirm this:
- Tests without `ctx` show 6-27% speedup (most common path)
- Tests with `ctx` show 10-42% speedup
- Large-scale stress tests (creating 100-1000 operations) show consistent 4-8% improvements
This function appears to be a factory for operation dictionaries in the Aerospike client library. Since database operations often batch multiple commands, even small per-call savings multiply across workloads that create many list operations.1 parent 4e48bc8 commit 115b250
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