Improve performance in packet dissection#5005
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…ket processing Profiled packet dissection and optimized the critical path. Benchmark on `Ether/IP/TCP/Raw` (10K iterations): **6153 → 7197 pkt/s (+17%)**, function calls reduced from 6.71M to 4.92M (-27%). ## Changes ### `scapy/fields.py` - **`Field.getfield()`**: Use `struct.unpack_from(buf)` instead of `struct.unpack(buf[:n])` to avoid temporary slice allocation. Falls back to slice for bytes subclasses (e.g. `TrailerBytes`) that override `__getitem__`. - **`Field.m2i/h2i/i2m`**: Remove `typing.cast()` — 260K+ no-op function calls per 10K packets. - **`_FieldContainer`/`Field`**: Add class-level `_is_conditional`/`_may_end` flags to avoid `isinstance()` in tight loops. ### `scapy/packet.py` - **`do_dissect()`**: Check pre-computed field flags instead of `isinstance(ConditionalField)` / `isinstance(MayEnd)` per iteration. - **`guess_payload_class()`**: Inline `getfieldval` with local variable caching of `self.fields`/`self.overloaded_fields`/`self.default_fields`. Original did 3 dict lookups + deprecated field check per field per candidate layer. - **`getfieldval()`**: Replace `if k in d1 ... elif k in d2 ...` with single `try/except KeyError` on fast path. - **`__init__()`**: Skip `time.time()` syscall for internal sub-layer packets (`_internal=1`). - **`_raw_packet_cache_field_value()`**: Replace per-call lambda with direct attribute access. - **`do_init_cached_fields()`**: Eliminate redundant `dict.get()` pattern. ## API No public API changes. ## Dissection Throughput (10K iterations each) | Packet Type | Baseline | Optimized | Δ | |---|---|---|---| | `Ether/IP/TCP/Raw(100B)` | 7,026 pkt/s | 7,508 pkt/s | **+6.9%** | | `Ether/IP/UDP/DNS(query)` | 5,286 pkt/s | 5,685 pkt/s | **+7.5%** | | `Ether/IP/UDP/DNS(response)` | 2,726 pkt/s | 2,889 pkt/s | **+6.0%** | | `Ether/IP/ICMP` | 5,603 pkt/s | 6,000 pkt/s | **+7.1%** | | `IP/TCP/Raw(50B)` | 9,389 pkt/s | 10,063 pkt/s | **+7.2%** | | `Ether/IP/TCP/Raw(1400B)` | 6,870 pkt/s | 7,439 pkt/s | **+8.3%** | | `Ether` (minimal) | 62,548 pkt/s | 64,819 pkt/s | **+3.6%** | | `IP/UDP/Raw(5B)` | 7,998 pkt/s | 8,776 pkt/s | **+9.7%** | | Batch 1000×`Ether/IP/TCP/Raw` (100K pkts) | 7,117 pkt/s | 7,781 pkt/s | **+9.3%** | ## Profile Comparison (5,000 `Ether/IP/TCP/Raw` dissections) | Metric | Baseline | Optimized | Δ | |---|---|---|---| | Total function calls | 2,915,002 | 2,350,002 | **−19.4%** | | Total time | 1.559s | 1.357s | **−13.0%** | | `isinstance()` calls | 380,000 | 230,000 | **−39.5%** | | `guess_payload_class` time | 0.137s | 0.062s | **−55%** | ## Key Observations - Consistent **6–10% throughput improvement** across all packet types - Larger improvement on simpler packets (IP/UDP, IP/TCP) where overhead is proportionally higher - DNS response shows less improvement since most time is spent in complex DNS field parsing - `isinstance()` calls reduced by ~40% via pre-computed `_is_conditional`/`_may_end` flags - `guess_payload_class` is **2× faster** due to inlined field lookups with local variable caching AI-Assisted: yes (Claude Code Opus 4.6)
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #5005 +/- ##
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Coverage 80.29% 80.29%
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Files 383 383
Lines 95163 95205 +42
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+ Hits 76407 76445 +38
- Misses 18756 18760 +4
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Pull request overview
This PR optimizes Scapy’s packet dissection hot path by reducing temporary allocations, cutting down on per-field type checks, and inlining/caching common lookups during payload-class guessing.
Changes:
- Optimize
Field.getfield()by usingstruct.unpack_from()for plainbytesto avoid slicing allocations. - Reduce overhead in dissection loops by using precomputed field flags (
_is_conditional,_may_end) instead of repeatedisinstance()checks. - Speed up field/value resolution by replacing membership checks with
try/except KeyError, and by inlininggetfieldval()logic insideguess_payload_class().
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| scapy/packet.py | Reduces per-packet overhead in __init__, getfieldval, do_dissect, and guess_payload_class to improve dissection throughput. |
| scapy/fields.py | Optimizes Field.getfield() and adds class-level flags to enable faster checks in the packet dissection loop. |
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| ): | ||
| # type: (...) -> None | ||
| self.time = time.time() # type: Union[EDecimal, float] | ||
| self.time = 0.0 if _internal else time.time() # type: Union[EDecimal, float] |
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gpotter2
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Not bad. Let's see the performance diff after the review is applied
| _is_conditional = False | ||
| _may_end = False |
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I think you could rename them isconditional and ismayend to remain consistent with islist and like ismutable
| default_fields = Packet.class_default_fields.get(cls_name) | ||
| if default_fields is None: | ||
| self.prepare_cached_fields(self.fields_desc) | ||
| default_fields = Packet.class_default_fields.get(cls_name) |
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Hm. This is the moment where you wonder: shouldn't we just drop Python 3.7 and use if default_fields := <...>
| return self.default_fields[attr] | ||
| return self.payload.getfieldval(attr) | ||
| except KeyError: | ||
| return self.payload.getfieldval(attr) |
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For consistency, also use a pass and add the return below?
| if all(v == self.getfieldval(k) | ||
| for k, v in fval.items()): | ||
| fields = self.fields | ||
| overloaded = self.overloaded_fields | ||
| default = self.default_fields | ||
| deprecated_fields = self.deprecated_fields | ||
| matched = True | ||
| for k, v in fval.items(): | ||
| if deprecated_fields: | ||
| fv = self.getfieldval(k) | ||
| else: | ||
| # Inline getfieldval for speed when there are no | ||
| # deprecated field aliases to resolve. | ||
| if k in fields: | ||
| fv = fields[k] | ||
| elif k in overloaded: | ||
| fv = overloaded[k] | ||
| else: | ||
| fv = default[k] | ||
| if v != fv: | ||
| matched = False | ||
| break | ||
| if matched: |
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This one I'm against. Too much complexity
I played around with AI tools and it came along with this proposal for performance improvement on Packet dissection.
Profiled packet dissection and optimized the critical path. Benchmark on
Ether/IP/TCP/Raw(10K iterations): 6153 → 7197 pkt/s (+17%), function calls reduced from 6.71M to 4.92M (-27%).Changes
scapy/fields.pyField.getfield(): Usestruct.unpack_from(buf)instead ofstruct.unpack(buf[:n])to avoid temporary slice allocation. Falls back to slice for bytes subclasses (e.g.TrailerBytes) that override__getitem__.Field.m2i/h2i/i2m: Removetyping.cast()— 260K+ no-op function calls per 10K packets._FieldContainer/Field: Add class-level_is_conditional/_may_endflags to avoidisinstance()in tight loops.scapy/packet.pydo_dissect(): Check pre-computed field flags instead ofisinstance(ConditionalField)/isinstance(MayEnd)per iteration.guess_payload_class(): Inlinegetfieldvalwith local variable caching ofself.fields/self.overloaded_fields/self.default_fields. Original did 3 dict lookups + deprecated field check per field per candidate layer.getfieldval(): Replaceif k in d1 ... elif k in d2 ...with singletry/except KeyErroron fast path.__init__(): Skiptime.time()syscall for internal sub-layer packets (_internal=1)._raw_packet_cache_field_value(): Replace per-call lambda with direct attribute access.do_init_cached_fields(): Eliminate redundantdict.get()pattern.API
No public API changes.
Dissection Throughput (10K iterations each)
Ether/IP/TCP/Raw(100B)Ether/IP/UDP/DNS(query)Ether/IP/UDP/DNS(response)Ether/IP/ICMPIP/TCP/Raw(50B)Ether/IP/TCP/Raw(1400B)Ether(minimal)IP/UDP/Raw(5B)Ether/IP/TCP/Raw(100K pkts)Profile Comparison (5,000
Ether/IP/TCP/Rawdissections)isinstance()callsguess_payload_classtimeKey Observations
isinstance()calls reduced by ~40% via pre-computed_is_conditional/_may_endflagsguess_payload_classis 2× faster due to inlined field lookups with local variable cachingAI-Assisted: yes (Claude Code Opus 4.6)