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bench: add micro-benchmark for was_applied fast path
Benchmark shows ~1.1x speedup for known-LWT fast path vs regex batch detection slow path.
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benchmarks/bench_was_applied.py

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# Copyright DataStax, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Micro-benchmark: was_applied fast path for known LWT statements.
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Measures the speedup from skipping regex batch detection when the
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query already knows it's an LWT statement (is_lwt() returns True).
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Run:
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python benchmarks/bench_was_applied.py
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"""
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import re
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import timeit
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from unittest.mock import Mock
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from cassandra.query import named_tuple_factory, SimpleStatement, BatchStatement
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def bench_was_applied():
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"""Benchmark was_applied fast path vs slow path."""
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batch_regex = re.compile(r'\s*BEGIN', re.IGNORECASE)
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# Fast path: known LWT statement (BoundStatement-like, is_lwt=True)
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lwt_query = Mock()
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lwt_query.is_lwt.return_value = True
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def fast_path():
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query = lwt_query
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if query.is_lwt() and not isinstance(query, BatchStatement):
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# Fast path - known single LWT, skip batch detection
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pass
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# Slow path: non-LWT SimpleStatement (must check regex)
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non_lwt_query = Mock(spec=SimpleStatement)
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non_lwt_query.is_lwt.return_value = False
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non_lwt_query.query_string = "INSERT INTO t (k, v) VALUES (1, 2) IF NOT EXISTS"
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def slow_path():
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query = non_lwt_query
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if query.is_lwt() and not isinstance(query, BatchStatement):
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pass
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else:
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isinstance(query, BatchStatement) or \
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(isinstance(query, SimpleStatement) and batch_regex.match(query.query_string))
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n = 500_000
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t_fast = timeit.timeit(fast_path, number=n)
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t_slow = timeit.timeit(slow_path, number=n)
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print(f"Fast path (known LWT, {n} iters): {t_fast:.3f}s ({t_fast / n * 1e6:.2f} us/call)")
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print(f"Slow path (regex check, {n} iters): {t_slow:.3f}s ({t_slow / n * 1e6:.2f} us/call)")
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print(f"Speedup: {t_slow / t_fast:.1f}x")
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def main():
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bench_was_applied()
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if __name__ == '__main__':
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main()

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