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(improvement) serializers: add Cython-optimized serialization for VectorType#748

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mykaul:perf/cython-serializers
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(improvement) serializers: add Cython-optimized serialization for VectorType#748
mykaul wants to merge 3 commits intoscylladb:masterfrom
mykaul:perf/cython-serializers

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@mykaul mykaul commented Mar 14, 2026

Summary

Adds cassandra/serializers.pyx and cassandra/serializers.pxd implementing Cython-optimized serialization that mirrors the deserializers.pyx architecture.

What's included

  • Scalar serializers: SerFloatType (4-byte IEEE 754), SerDoubleType (8-byte), SerInt32Type (4-byte signed) — the three subtypes commonly used in vector columns
  • SerVectorType: Pre-allocates a contiguous char * buffer and uses C-level byte swapping for float/double/int32 vectors, with a generic fallback for other subtypes
  • GenericSerializer: Delegates to the Python-level cqltype.serialize() classmethod for all other types
  • Factory functions: find_serializer(cqltype) and make_serializers(cqltypes_list) for easy lookup and batch creation

Architecture

Mirrors deserializers.pyx exactly:

Deserializer side Serializer side
Deserializer base class Serializer base class
DesFloatType, DesDoubleType, DesInt32Type SerFloatType, SerDoubleType, SerInt32Type
DesVectorType (type-specialized) SerVectorType (type-specialized)
GenericDeserializer GenericSerializer
find_deserializer() find_serializer()
make_deserializers() make_serializers()

Performance

Benchmarked on Vector<float, 1536> (typical embedding dimension):

Method us/op Speedup
Current VectorType.serialize() (io.BytesIO loop) ~823 us 1x (baseline)
Python struct.pack batch format string ~74 us ~11x
Cython SerVectorType ~4 us ~30x

No setup.py changes needed — the existing cassandra/*.pyx glob already picks up new .pyx files.

Related PRs

Pre-review checklist

  • I have split my patch into logically separate commits.
  • All commit messages clearly explain what they change and why.
  • I added relevant tests for new features and bug fixes.
  • All commits compile, pass static checks and pass test.
  • PR description sums up the changes and reasons why they should be introduced.
  • I have provided docstrings for the public items that I want to introduce.
  • I have adjusted the documentation in ./docs/source/.
  • I added appropriate Fixes: annotations to PR description.

…torType

Add cassandra/serializers.pyx and cassandra/serializers.pxd implementing
Cython-optimized serialization that mirrors the deserializers.pyx architecture.

Implements type-specialized serializers for the three subtypes commonly used
in vector columns:
- SerFloatType: 4-byte big-endian IEEE 754 float
- SerDoubleType: 8-byte big-endian double
- SerInt32Type: 4-byte big-endian signed int32

SerVectorType pre-allocates a contiguous buffer and uses C-level byte swapping
for float/double/int32 vectors, with a generic fallback for other subtypes.
GenericSerializer delegates to the Python-level cqltype.serialize() classmethod.

Factory functions find_serializer() and make_serializers() allow easy lookup
and batch creation of serializers for column types.

Benchmarks show ~30x speedup over the current io.BytesIO baseline and ~3x
speedup over Python struct.pack for Vector<float, 1536> serialization.

No setup.py changes needed - the existing cassandra/*.pyx glob already picks
up new .pyx files.
mykaul added a commit to mykaul/python-driver that referenced this pull request Mar 14, 2026
…nt.bind()

When Cython serializers (from cassandra.serializers) are available and no
column encryption policy is active, BoundStatement.bind() now uses
pre-built Serializer objects cached on the PreparedStatement instead of
calling cqltype classmethods. This avoids per-value Python method dispatch
overhead and enables the ~30x vector serialization speedup from the Cython
serializers module.

The bind loop is split into three paths:
1. Column encryption policy path (unchanged behavior)
2. Cython serializers path (new fast path)
3. Plain Python path (no CE, no Cython -- removes per-value ColDesc/CE check)

Depends on PR scylladb#748 (Cython serializers module) and PR scylladb#630 (CE-policy
bind split).
@mykaul mykaul marked this pull request as draft March 14, 2026 11:23
@mykaul mykaul requested a review from Copilot March 14, 2026 19:25
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Pull request overview

This PR introduces a new Cython extension module to accelerate CQL value serialization—especially VectorType—using the same general “typed Serializer object + factory lookup” approach as the existing Cython deserialization stack.

Changes:

  • Add cassandra/serializers.pyx implementing Cython serializers for FloatType, DoubleType, Int32Type, and an optimized VectorType serializer with generic fallback.
  • Add find_serializer() / make_serializers() factory helpers for serializer creation.
  • Add cassandra/serializers.pxd to expose the Serializer interface to other Cython modules.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 8 comments.

File Description
cassandra/serializers.pyx New Cython-optimized serialization implementations and factory lookup.
cassandra/serializers.pxd Cython declarations for the Serializer interface.

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

mykaul added a commit to mykaul/python-driver that referenced this pull request Mar 16, 2026
…nt.bind()

When Cython serializers (from cassandra.serializers) are available and no
column encryption policy is active, BoundStatement.bind() now uses
pre-built Serializer objects cached on the PreparedStatement instead of
calling cqltype classmethods. This avoids per-value Python method dispatch
overhead and enables the ~30x vector serialization speedup from the Cython
serializers module.

The bind loop is split into three paths:
1. Column encryption policy path (unchanged behavior)
2. Cython serializers path (new fast path)
3. Plain Python path (no CE, no Cython -- removes per-value ColDesc/CE check)

Depends on PR scylladb#748 (Cython serializers module) and PR scylladb#630 (CE-policy
bind split).
…lizers

Address all 8 Copilot review comments on PR scylladb#748:

- Add _check_float_range() for float overflow detection matching struct.pack
- Add _check_int32_range() for int32 bounds checking before C cast
- Wire bounds checks into SerFloatType, SerInt32Type, and VectorType fast-paths
- Replace malloc/free with PyBytes_FromStringAndSize(NULL,n)+PyBytes_AS_STRING
- Add empty vector early return (b'') before allocation
- Remove unused uint32_t cimport and libc.stdlib import
- Add comprehensive test suite (67 tests) covering equivalence, overflow,
  special values, vectors, round-trips, and factory functions
@mykaul mykaul requested a review from Copilot March 19, 2026 14:19
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Pull request overview

Adds a new Cython serialization module to speed up VectorType (and a few common scalar subtypes) while keeping wire-format output identical to existing cqltypes.*.serialize() implementations.

Changes:

  • Introduce cassandra/serializers.pyx + .pxd implementing Serializer classes, including a specialized SerVectorType with float/double/int32 fast-paths.
  • Add serializer lookup/batch factories (find_serializer, make_serializers).
  • Add unit tests validating byte-for-byte equivalence and basic round-trips for the new serializers.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 7 comments.

File Description
cassandra/serializers.pyx New Cython serializers, including optimized VectorType serialization and factory lookup functions.
cassandra/serializers.pxd Cython declarations for the Serializer base class.
tests/unit/test_serializers.py New unit tests covering scalar/vector equivalence, round-trips, and factory behavior.

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Comment on lines +44 to +59
# Import serializers only if Cython is available
if HAVE_CYTHON:
from cassandra.serializers import (
Serializer,
SerFloatType,
SerDoubleType,
SerInt32Type,
SerVectorType,
GenericSerializer,
find_serializer,
make_serializers,
)

cythontest = unittest.skipUnless(
HAVE_CYTHON or VERIFY_CYTHON, "Cython is not available"
)
Comment on lines +66 to +70
if value > 2147483647 or value < -2147483648:
raise OverflowError(
"Value %r out of range for int32 "
"(must be between -2147483648 and 2147483647)" % (value,))

Comment on lines +229 to +233

for i in range(self.vector_size):
_check_float_range(<double>values[i])
val = <float>values[i]
src = <char *>&val
Comment on lines +258 to +260

for i in range(self.vector_size):
val = <double>values[i]
Comment on lines +290 to +294

for i in range(self.vector_size):
_check_int32_range(values[i])
val = <int32_t>values[i]
src = <char *>&val
Comment on lines +46 to +51
"""Raise OverflowError for finite values outside float32 range.

Matches the behavior of struct.pack('>f', value), which raises
struct.error for values that cannot be represented as a 32-bit
IEEE 754 float. inf, -inf, and nan pass through unchanged.
"""
Comment on lines +22 to +42
import math
import struct
import unittest

from cassandra.cython_deps import HAVE_CYTHON

try:
from tests import VERIFY_CYTHON
except ImportError:
VERIFY_CYTHON = False

from cassandra.cqltypes import (
FloatType,
DoubleType,
Int32Type,
VectorType,
UTF8Type,
LongType,
BooleanType,
parse_casstype_args,
)
mykaul added a commit to mykaul/python-driver that referenced this pull request Mar 20, 2026
…nt.bind()

When Cython serializers (from cassandra.serializers) are available and no
column encryption policy is active, BoundStatement.bind() now uses
pre-built Serializer objects cached on the PreparedStatement instead of
calling cqltype classmethods. This avoids per-value Python method dispatch
overhead and enables the ~30x vector serialization speedup from the Cython
serializers module.

The bind loop is split into three paths:
1. Column encryption policy path (unchanged behavior)
2. Cython serializers path (new fast path)
3. Plain Python path (no CE, no Cython -- removes per-value ColDesc/CE check)

Depends on PR scylladb#748 (Cython serializers module) and PR scylladb#630 (CE-policy
bind split).
- Fix _check_float_range() docstring: clarify it raises OverflowError, not struct.error
- Fix _check_int32_range() docstring: same clarification
- Document __getitem__ requirement in vector fast-paths (_serialize_float,
  _serialize_double, _serialize_int32) as intentional for performance
- Expand test import guard to cover VERIFY_CYTHON
- Remove unused imports: math, parse_casstype_args
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2 participants