From f31c33ae01e574b146853ace4a901a3876cf5417 Mon Sep 17 00:00:00 2001 From: Alexy Khrabrov Date: Tue, 6 Oct 2026 12:23:19 -0700 Subject: [PATCH] feat(extensions): port Spark Second String to native Arrow scalars --- examples/extensions/README.md | 7 +- examples/extensions/second-string/Cargo.lock | 2856 +++++++++++++++++ examples/extensions/second-string/Cargo.toml | 31 + examples/extensions/second-string/LICENSE | 203 ++ examples/extensions/second-string/NOTICE | 17 + examples/extensions/second-string/README.md | 88 + .../extensions/second-string/pyproject.toml | 29 + .../python/sail_second_string/__init__.py | 42 + .../python/sail_second_string/_native.pyi | 10 + .../python/sail_second_string/functions.py | 259 ++ .../python/sail_second_string/py.typed | 0 .../sail_second_string/sail-extension.json | 13 + .../second-string/scripts/Oracle.java | 147 + .../second-string/scripts/generate_oracle.py | 502 +++ .../second-string/src/double_metaphone.rs | 506 +++ .../extensions/second-string/src/function.rs | 112 + examples/extensions/second-string/src/lib.rs | 70 + .../extensions/second-string/src/matrix.rs | 366 +++ .../second-string/src/matrix_tests.rs | 288 ++ .../extensions/second-string/src/options.rs | 139 + .../extensions/second-string/src/phonetic.rs | 86 + .../second-string/src/phonetic_tests.rs | 99 + .../extensions/second-string/src/tests.rs | 296 ++ .../extensions/second-string/src/token.rs | 193 ++ .../second-string/src/token_tests.rs | 281 ++ examples/extensions/second-string/src/udf.rs | 286 ++ .../second-string/tests/conftest.py | 88 + .../second-string/tests/fixtures/oracle.json | 1 + .../second-string/tests/test_client.py | 216 ++ .../second-string/tests/test_oracle.py | 207 ++ .../second-string/tests/test_sail.py | 182 ++ 31 files changed, 7618 insertions(+), 2 deletions(-) create mode 100644 examples/extensions/second-string/Cargo.lock create mode 100644 examples/extensions/second-string/Cargo.toml create mode 100644 examples/extensions/second-string/LICENSE create mode 100644 examples/extensions/second-string/NOTICE create mode 100644 examples/extensions/second-string/README.md create mode 100644 examples/extensions/second-string/pyproject.toml create mode 100644 examples/extensions/second-string/python/sail_second_string/__init__.py create mode 100644 examples/extensions/second-string/python/sail_second_string/_native.pyi create mode 100644 examples/extensions/second-string/python/sail_second_string/functions.py create mode 100644 examples/extensions/second-string/python/sail_second_string/py.typed create mode 100644 examples/extensions/second-string/python/sail_second_string/sail-extension.json create mode 100644 examples/extensions/second-string/scripts/Oracle.java create mode 100644 examples/extensions/second-string/scripts/generate_oracle.py create mode 100644 examples/extensions/second-string/src/double_metaphone.rs create mode 100644 examples/extensions/second-string/src/function.rs create mode 100644 examples/extensions/second-string/src/lib.rs create mode 100644 examples/extensions/second-string/src/matrix.rs create mode 100644 examples/extensions/second-string/src/matrix_tests.rs create mode 100644 examples/extensions/second-string/src/options.rs create mode 100644 examples/extensions/second-string/src/phonetic.rs create mode 100644 examples/extensions/second-string/src/phonetic_tests.rs create mode 100644 examples/extensions/second-string/src/tests.rs create mode 100644 examples/extensions/second-string/src/token.rs create mode 100644 examples/extensions/second-string/src/token_tests.rs create mode 100644 examples/extensions/second-string/src/udf.rs create mode 100644 examples/extensions/second-string/tests/conftest.py create mode 100644 examples/extensions/second-string/tests/fixtures/oracle.json create mode 100644 examples/extensions/second-string/tests/test_client.py create mode 100644 examples/extensions/second-string/tests/test_oracle.py create mode 100644 examples/extensions/second-string/tests/test_sail.py diff --git a/examples/extensions/README.md b/examples/extensions/README.md index d8fa1c29e..0af5623ab 100644 --- a/examples/extensions/README.md +++ b/examples/extensions/README.md @@ -1,4 +1,4 @@ -# Two native extensions on Sail +# Native extensions on Sail For a design review, start at the shared [Sail Extensions review request](../../docs/development/extensions/SAIL-EXTENSIONS-REVIEW-REQUEST.md). @@ -36,6 +36,9 @@ separates the original findings, implemented corrections and remaining acceptanc Python wheel through DataFusion FFI. Spark SQL, DataFrame expressions and Apache Sedona's unmodified Connect helpers call them by name. Ordinary Sail spatial joins evaluate those predicates. +- **[Second String](second-string/README.md):** sixteen native string similarity + and phonetic functions, plus configurable variants, preserving the Spark + Second String source semantics through a separate Arrow FFI wheel. - **Nutmeg graph tables:** normal Sail relations with degree, triplet and bounded walk helpers compiled into DataFusion joins/aggregations. This path runs on workers with extensions disabled and constructs no CSR. @@ -44,7 +47,7 @@ separates the original findings, implemented corrections and remaining acceptanc inputs atomically, including every partition. Reads pin a graph revision and stream results through DataFusion FFI. -Both packages have independent Cargo workspaces and no Sail engine dependency. +These packages have independent Cargo workspaces and no Sail engine dependency. Nutmeg shares a small dependency-free memory-lease ABI definition with Sail. The host and plugins use DataFusion 55.1.0 and Arrow 59.3.0. 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000000000..b00209de7 --- /dev/null +++ b/examples/extensions/second-string/Cargo.toml @@ -0,0 +1,31 @@ +[package] +name = "sail-second-string-extension" +version = "0.1.0" +edition = "2021" +publish = false +license = "Apache-2.0" + +[workspace] + +[lib] +name = "_native" +crate-type = ["cdylib", "rlib"] + +[dependencies] +arrow-schema = "=59.3.0" +datafusion-common = { version = "=55.1.0", default-features = false } +datafusion-expr = { version = "=55.1.0", default-features = false } +datafusion-ffi = "=55.1.0" +pyo3 = "=0.29.0" + +[dev-dependencies] +serde = { version = "1.0", features = ["derive"] } +serde_json = "1.0" + +[profile.dev] +debug = 0 +incremental = false + +[profile.release] +debug = 0 +incremental = false diff --git a/examples/extensions/second-string/LICENSE b/examples/extensions/second-string/LICENSE new file mode 100644 index 000000000..6b0b1270f --- /dev/null +++ b/examples/extensions/second-string/LICENSE @@ -0,0 +1,203 @@ + + Apache License + Version 2.0, January 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If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + diff --git a/examples/extensions/second-string/NOTICE b/examples/extensions/second-string/NOTICE new file mode 100644 index 000000000..5c4a00277 --- /dev/null +++ b/examples/extensions/second-string/NOTICE @@ -0,0 +1,17 @@ +Sail Second String Extension + +Native Rust port of Spark Second String by Semyon Sinchenko. +Reference: https://github.com/SemyonSinchenko/spark-second-string +Source commit: a35db39fa8e9b65db2d201a45b86d11a6ca34b98 +Licensed under Apache License, Version 2.0. + +Double Metaphone is derived from Apache Commons Codec 1.21.0. +Copyright The Apache Software Foundation. +Licensed under Apache License, Version 2.0. +The port preserves the original normalization and primary-code behavior. + +Apache Commons Codec +Copyright 2002-2026 The Apache Software Foundation + +This product includes software developed at +The Apache Software Foundation (https://www.apache.org/). diff --git a/examples/extensions/second-string/README.md b/examples/extensions/second-string/README.md new file mode 100644 index 000000000..bc120d4d1 --- /dev/null +++ b/examples/extensions/second-string/README.md @@ -0,0 +1,88 @@ +# Native Second String for Sail + +An independent native extension wheel implementing all sixteen default functions +from [Spark Second String](https://github.com/SemyonSinchenko/spark-second-string) +at `a35db39fa8e9b65db2d201a45b86d11a6ca34b98`: + +- Token similarities: Jaccard, Sørensen–Dice, overlap coefficient, cosine, + Braun–Blanquet and Monge–Elkan. +- Character similarities: normalized Levenshtein, LCS, Jaro, Jaro–Winkler, + Needleman–Wunsch, Smith–Waterman and affine gap. +- Phonetics: Soundex, Refined Soundex and primary Double Metaphone. + +The wheel has no Sail crate dependency. Sail discovers its `pysail.extensions` +entry point, imports its native DataFusion scalar capsules, and evaluates Arrow +batches on the driver or workers. No JVM, Python UDF or Arrow Python UDF executes +these metrics. Java is used only to generate the source-comparison fixtures. + +## Build and install + +The current extension tuple is API 1, DataFusion 55.1.0 and Arrow 59.3.0. +Use a Python 3.12 environment with a shared library, Rust, and maturin: + +```bash +python -m maturin build --release --locked \ + --manifest-path examples/extensions/second-string/Cargo.toml \ + --interpreter python --out /tmp/second-string-wheels +python -m pip install /tmp/second-string-wheels/*.whl +``` + +Install the same wheel on the server and every process worker. Start a compatible +Sail extension host with `SAIL_EXPERIMENTAL_EXTENSIONS=1`; the existing extension +[tutorial](../TUTORIAL.md) explains Python library setup and worker deployment. +The included static `sail-extension.json` also declares the same tuple for the +separate static-preflight candidate. + +## Call from SQL or Spark Connect + +Original SQL names and arities are retained: thirteen binary `ss_*` similarity +functions returning DOUBLE, and three unary phonetics returning STRING. +Similarity is case-sensitive. Either null input produces null. + +```python +from pyspark.sql.connect.session import SparkSession +from sail_second_string import functions as ss + +spark = SparkSession.builder.remote("sc://127.0.0.1:50051").create() +spark.sql("SELECT ss_jaro_winkler('MARTHA', 'MARHTA') AS score").show() +pairs = spark.createDataFrame([("abcd", "abce")], ["left", "right"]) +pairs.select(ss.jaccard("left", "right", ngram_size=2).alias("score")).show() +``` + +Configurable Python helpers generate literal options for ten additional native +`ss__with_options` functions. These preserve the upstream Scala DSL +parameters while keeping the original SQL functions' fixed arities. Options must +be literal constants. Helpers cover n-grams, Monge–Elkan's five inner metrics, +Jaro–Winkler prefix settings, alignment scores and affine penalties. + +## Compatibility details + +Character metrics and n-grams preserve Java UTF-16 indexing, including supplementary +characters. Whitespace tokenization follows Java `Character.isWhitespace` rather +than Python/Rust whitespace predicates. Phonetics use the Scala wrappers' ASCII +normalization; their Soundex variants differ from Commons Codec's encoders. +Double Metaphone uses the Commons Codec 1.21.0 primary-code rules with length four. + +Empty and whitespace-only strings retain the source's metric-specific results. +Monge n-gram sums use a deterministic token order; comparisons allow `1e-12` +absolute error for floating accumulation against Java's unordered token set. +No normalization or silent algorithm substitutions are added. + +## Verification + +```bash +cargo fmt --all --manifest-path examples/extensions/second-string/Cargo.toml -- --check +cargo clippy --all-targets --manifest-path examples/extensions/second-string/Cargo.toml -- -D warnings +cargo test --release --all-targets --manifest-path examples/extensions/second-string/Cargo.toml +python -m pytest examples/extensions/second-string/tests \ + --sail-binary /path/to/native/release/sail --execution-mode local +python -m pytest examples/extensions/second-string/tests \ + --sail-binary /path/to/native/release/sail --execution-mode process-cluster +``` + +On macOS, Rust tests require the selected interpreter's library directory in +`DYLD_LIBRARY_PATH`, and `PYO3_PYTHON` should name that interpreter. +`tests/fixtures/oracle.json` records the compiled Scala reference and its source, +class and dependency fingerprints. `scripts/generate_oracle.py --help` gives the +fixture-generation command. The research and qualification report is kept in +[Grust](https://github.com/querygraph/grust/tree/work/second-string-extension-report/docs/reviews/second-string-extension-2026-10-06). diff --git a/examples/extensions/second-string/pyproject.toml b/examples/extensions/second-string/pyproject.toml new file mode 100644 index 000000000..31cb4f9f5 --- /dev/null +++ b/examples/extensions/second-string/pyproject.toml @@ -0,0 +1,29 @@ +[build-system] +requires = ["maturin>=1.8,<2"] +build-backend = "maturin" + +[project] +name = "sail-second-string-extension" +version = "0.1.0" +description = "Native Spark Second String metrics for Sail" +requires-python = ">=3.12" +license = "Apache-2.0" +license-files = ["LICENSE", "NOTICE"] + +[project.optional-dependencies] +client = ["pyspark[connect]>=4.0.1,<4.1"] + +[project.entry-points."pysail.extensions"] +second_string = "sail_second_string:extension" + +[tool.maturin] +features = ["pyo3/extension-module"] +module-name = "sail_second_string._native" +python-source = "python" + +[tool.ruff] +line-length = 100 + +[tool.mypy] +python_version = "3.12" +strict = true diff --git a/examples/extensions/second-string/python/sail_second_string/__init__.py b/examples/extensions/second-string/python/sail_second_string/__init__.py new file mode 100644 index 000000000..56c22f05d --- /dev/null +++ b/examples/extensions/second-string/python/sail_second_string/__init__.py @@ -0,0 +1,42 @@ +"""Native Spark Second String functions for Sail's extension host.""" + +import importlib +from dataclasses import asdict, dataclass +from typing import TYPE_CHECKING, Literal, cast + +if TYPE_CHECKING: + from ._native import BoundSecondString + +__version__ = "0.1.0" + + +@dataclass(frozen=True, slots=True) +class ExtensionManifest: + name: str = "second_string" + version: str = __version__ + api_version: int = 1 + datafusion_version: str = "55.1.0" + arrow_version: str = "59.3.0" + placement: Literal["any"] = "any" + relation_types: tuple[str, ...] = () + + def to_wire(self) -> dict[str, object]: + wire: dict[str, object] = asdict(self) + wire["relation_types"] = list(self.relation_types) + return wire + + +class SecondStringExtension: + def manifest(self) -> dict[str, object]: + """Expose compatibility metadata without loading the native library.""" + return ExtensionManifest().to_wire() + + def bind(self, session_id: str) -> "BoundSecondString": + native = importlib.import_module("sail_second_string._native") + constructor = cast("type[BoundSecondString]", native.BoundSecondString) + return constructor(session_id) + + +extension = SecondStringExtension() + +__all__ = ["ExtensionManifest", "SecondStringExtension", "__version__", "extension"] diff --git a/examples/extensions/second-string/python/sail_second_string/_native.pyi b/examples/extensions/second-string/python/sail_second_string/_native.pyi new file mode 100644 index 000000000..e10840104 --- /dev/null +++ b/examples/extensions/second-string/python/sail_second_string/_native.pyi @@ -0,0 +1,10 @@ +class NativeScalarUdf: + def name(self) -> str: ... + def aliases(self) -> list[str]: ... + def __datafusion_scalar_udf__(self) -> object: ... + +class BoundSecondString: + def __init__(self, session_id: str) -> None: ... + @property + def session_id(self) -> str: ... + def scalar_udfs(self) -> list[NativeScalarUdf]: ... diff --git a/examples/extensions/second-string/python/sail_second_string/functions.py b/examples/extensions/second-string/python/sail_second_string/functions.py new file mode 100644 index 000000000..da8b7aae9 --- /dev/null +++ b/examples/extensions/second-string/python/sail_second_string/functions.py @@ -0,0 +1,259 @@ +"""Spark Connect expressions evaluated by native Sail scalar functions. + +Strings name columns; use ``pyspark.sql.connect.functions.lit`` for string +values. Options are Python values validated before constructing an expression. +Default calls keep the sixteen original upstream SQL names and arities. +""" + +from typing import Literal + +from pyspark.sql import Column +from pyspark.sql.connect import functions as F + +type ColumnInput = str | Column +type MongeInnerMetric = Literal[ + "jaro_winkler", "jaro", "levenshtein", "needleman_wunsch", "smith_waterman" +] + +_INNER_METRICS = frozenset( + ("jaro_winkler", "jaro", "levenshtein", "needleman_wunsch", "smith_waterman") +) + + +def _int32(name: str, value: int) -> int: + if type(value) is not int: + raise TypeError(f"{name} must be an integer") + if not -(2**31) <= value < 2**31: + raise ValueError(f"{name} must fit a Scala Int") + return value + + +def _ngram(value: int) -> int: + value = _int32("ngram_size", value) + if value < 0: + raise ValueError("ngram_size must be >= 0") + return value + + +def _integer_literal(value: int) -> Column: + return F.lit(value) + + +def _token(name: str, left: ColumnInput, right: ColumnInput, ngram_size: int) -> Column: + size = _ngram(ngram_size) + if size == 0: + return F.call_function(name, left, right) + return F.call_function(f"{name}_with_options", left, right, _integer_literal(size)) + + +def jaccard(left: ColumnInput, right: ColumnInput, *, ngram_size: int = 0) -> Column: + return _token("ss_jaccard", left, right, ngram_size) + + +def sorensen_dice(left: ColumnInput, right: ColumnInput, *, ngram_size: int = 0) -> Column: + return _token("ss_sorensen_dice", left, right, ngram_size) + + +def overlap_coefficient(left: ColumnInput, right: ColumnInput, *, ngram_size: int = 0) -> Column: + return _token("ss_overlap_coefficient", left, right, ngram_size) + + +def cosine(left: ColumnInput, right: ColumnInput, *, ngram_size: int = 0) -> Column: + return _token("ss_cosine", left, right, ngram_size) + + +def braun_blanquet(left: ColumnInput, right: ColumnInput, *, ngram_size: int = 0) -> Column: + return _token("ss_braun_blanquet", left, right, ngram_size) + + +def monge_elkan( + left: ColumnInput, + right: ColumnInput, + *, + inner_metric: MongeInnerMetric = "jaro_winkler", + ngram_size: int = 0, +) -> Column: + size = _ngram(ngram_size) + if not isinstance(inner_metric, str) or inner_metric not in _INNER_METRICS: + raise ValueError("inner_metric must name one of the five upstream Monge-Elkan metrics") + if inner_metric == "jaro_winkler" and size == 0: + return F.call_function("ss_monge_elkan", left, right) + return F.call_function( + "ss_monge_elkan_with_options", left, right, F.lit(inner_metric), _integer_literal(size) + ) + + +def levenshtein(left: ColumnInput, right: ColumnInput) -> Column: + """Normalized Levenshtein similarity, rather than Spark's edit-distance integer.""" + return F.call_function("ss_levenshtein", left, right) + + +def lcs_similarity(left: ColumnInput, right: ColumnInput) -> Column: + return F.call_function("ss_lcs_similarity", left, right) + + +def jaro(left: ColumnInput, right: ColumnInput) -> Column: + return F.call_function("ss_jaro", left, right) + + +def jaro_winkler( + left: ColumnInput, + right: ColumnInput, + *, + prefix_scale: float = 0.1, + prefix_cap: int = 4, +) -> Column: + cap = _int32("prefix_cap", prefix_cap) + if type(prefix_scale) not in (float, int): + raise TypeError("prefix_scale must be a number") + scale = float(prefix_scale) + # Preserve the upstream constructor comparisons, including NaN acceptance. + if scale <= 0.0 or scale > 0.25 or not 1 <= cap <= 10: + raise ValueError("prefix_scale must be in (0, 0.25] and prefix_cap in [1, 10]") + if scale == 0.1 and cap == 4: + return F.call_function("ss_jaro_winkler", left, right) + return F.call_function( + "ss_jaro_winkler_with_options", left, right, F.lit(scale), _integer_literal(cap) + ) + + +def _alignment( + name: str, + left: ColumnInput, + right: ColumnInput, + match_score: int, + mismatch_penalty: int, + gap_penalty: int, + *, + local: bool, +) -> Column: + match_score = _int32("match_score", match_score) + mismatch_penalty = _int32("mismatch_penalty", mismatch_penalty) + gap_penalty = _int32("gap_penalty", gap_penalty) + valid_penalties = ( + mismatch_penalty <= 0 and gap_penalty <= 0 + if local + else mismatch_penalty < 0 and gap_penalty < 0 + ) + if match_score <= 0 or not valid_penalties: + raise ValueError("invalid alignment scoring parameters") + defaults = (2 if local else 1, -1, -1) + if (match_score, mismatch_penalty, gap_penalty) == defaults: + return F.call_function(name, left, right) + return F.call_function( + f"{name}_with_options", + left, + right, + _integer_literal(match_score), + _integer_literal(mismatch_penalty), + _integer_literal(gap_penalty), + ) + + +def needleman_wunsch( + left: ColumnInput, + right: ColumnInput, + *, + match_score: int = 1, + mismatch_penalty: int = -1, + gap_penalty: int = -1, +) -> Column: + return _alignment( + "ss_needleman_wunsch", left, right, match_score, mismatch_penalty, gap_penalty, local=False + ) + + +def smith_waterman( + left: ColumnInput, + right: ColumnInput, + *, + match_score: int = 2, + mismatch_penalty: int = -1, + gap_penalty: int = -1, +) -> Column: + return _alignment( + "ss_smith_waterman", left, right, match_score, mismatch_penalty, gap_penalty, local=True + ) + + +def affine_gap( + left: ColumnInput, + right: ColumnInput, + *, + mismatch_penalty: int = -1, + gap_open_penalty: int = -2, + gap_extend_penalty: int = -1, +) -> Column: + mismatch_penalty = _int32("mismatch_penalty", mismatch_penalty) + gap_open_penalty = _int32("gap_open_penalty", gap_open_penalty) + gap_extend_penalty = _int32("gap_extend_penalty", gap_extend_penalty) + if mismatch_penalty >= 0 or gap_open_penalty >= 0 or gap_extend_penalty >= 0: + raise ValueError("affine gap penalties must be < 0") + if (mismatch_penalty, gap_open_penalty, gap_extend_penalty) == (-1, -2, -1): + return F.call_function("ss_affine_gap", left, right) + return F.call_function( + "ss_affine_gap_with_options", + left, + right, + _integer_literal(mismatch_penalty), + _integer_literal(gap_open_penalty), + _integer_literal(gap_extend_penalty), + ) + + +def soundex(value: ColumnInput) -> Column: + return F.call_function("ss_soundex", value) + + +def refined_soundex(value: ColumnInput) -> Column: + return F.call_function("ss_refined_soundex", value) + + +def double_metaphone(value: ColumnInput) -> Column: + return F.call_function("ss_double_metaphone", value) + + +# Scala DSL spellings share the same typed Python implementations and options. +sorensenDice = sorensen_dice +overlapCoefficient = overlap_coefficient +braunBlanquet = braun_blanquet +mongeElkan = monge_elkan +lcsSimilarity = lcs_similarity +jaroWinkler = jaro_winkler +needlemanWunsch = needleman_wunsch +smithWaterman = smith_waterman +affineGap = affine_gap +refinedSoundex = refined_soundex +doubleMetaphone = double_metaphone + +__all__ = [ + "ColumnInput", + "MongeInnerMetric", + "affineGap", + "affine_gap", + "braunBlanquet", + "braun_blanquet", + "cosine", + "doubleMetaphone", + "double_metaphone", + "jaccard", + "jaro", + "jaroWinkler", + "jaro_winkler", + "lcsSimilarity", + "lcs_similarity", + "levenshtein", + "mongeElkan", + "monge_elkan", + "needlemanWunsch", + "needleman_wunsch", + "overlapCoefficient", + "overlap_coefficient", + "refinedSoundex", + "refined_soundex", + "smithWaterman", + "smith_waterman", + "sorensenDice", + "sorensen_dice", + "soundex", +] diff --git a/examples/extensions/second-string/python/sail_second_string/py.typed b/examples/extensions/second-string/python/sail_second_string/py.typed new file mode 100644 index 000000000..e69de29bb diff --git a/examples/extensions/second-string/python/sail_second_string/sail-extension.json b/examples/extensions/second-string/python/sail_second_string/sail-extension.json new file mode 100644 index 000000000..34893cad8 --- /dev/null +++ b/examples/extensions/second-string/python/sail_second_string/sail-extension.json @@ -0,0 +1,13 @@ +{ + "schema_version": 1, + "extensions": [ + { + "entry_point": "second_string", + "name": "second_string", + "version": "0.1.0", + "api_version": 1, + "datafusion_version": "55.1.0", + "arrow_version": "59.3.0" + } + ] +} diff --git a/examples/extensions/second-string/scripts/Oracle.java b/examples/extensions/second-string/scripts/Oracle.java new file mode 100644 index 000000000..8938d6d92 --- /dev/null +++ b/examples/extensions/second-string/scripts/Oracle.java @@ -0,0 +1,147 @@ +import java.io.BufferedReader; +import java.io.InputStreamReader; +import java.lang.reflect.InvocationTargetException; +import java.lang.reflect.Method; +import java.nio.charset.StandardCharsets; +import java.util.Base64; +import java.util.HashMap; +import java.util.Map; + +/** Calls the compiled pinned Scala companions; contains no metric implementation. */ +public final class Oracle { + private static final String PREFIX = "io.github.semyonsinchenko.sparkss.expressions."; + private static final Map MODULES = Map.ofEntries( + Map.entry("ss_jaccard", "token.Jaccard"), + Map.entry("ss_cosine", "token.Cosine"), + Map.entry("ss_sorensen_dice", "token.SorensenDice"), + Map.entry("ss_overlap_coefficient", "token.OverlapCoefficient"), + Map.entry("ss_braun_blanquet", "token.BraunBlanquet"), + Map.entry("ss_monge_elkan", "token.MongeElkan"), + Map.entry("ss_levenshtein", "matrix.Levenshtein"), + Map.entry("ss_lcs_similarity", "matrix.LcsSimilarity"), + Map.entry("ss_jaro", "matrix.Jaro"), + Map.entry("ss_jaro_winkler", "matrix.JaroWinkler"), + Map.entry("ss_needleman_wunsch", "matrix.NeedlemanWunsch"), + Map.entry("ss_smith_waterman", "matrix.SmithWaterman"), + Map.entry("ss_affine_gap", "matrix.AffineGap"), + Map.entry("ss_soundex", "phonetic.Soundex"), + Map.entry("ss_refined_soundex", "phonetic.RefinedSoundex"), + Map.entry("ss_double_metaphone", "phonetic.DoubleMetaphone") + ); + private static final Map OBJECTS = new HashMap<>(); + private static final Map METHODS = new HashMap<>(); + private static Class utf8; + private static Method fromString; + + private Oracle() {} + + private static String b64(String value) { + return Base64.getEncoder().encodeToString(value.getBytes(StandardCharsets.UTF_8)); + } + + private static String decode(String value) { + return new String(Base64.getDecoder().decode(value), StandardCharsets.UTF_8); + } + + private static void metadata(String key, String value) { + System.out.println("#meta\t" + key + "\t" + b64(value)); + } + + private static void origin(String key, Class type) { + metadata(key, type.getProtectionDomain().getCodeSource().getLocation().toExternalForm()); + } + + private static void uppercase() { + for (int unit = 0; unit <= Character.MAX_VALUE; unit++) { + char upper = Character.toUpperCase((char) unit); + if (upper >= 'A' && upper <= 'Z') { + System.out.println("#upper\t" + unit + "\t" + upper); + } + } + } + + private static Object invoke(String function, String left, String right, String options) + throws ReflectiveOperationException { + String module = MODULES.get(function); + if (module == null) { + throw new IllegalArgumentException("Unknown function " + function); + } + Class type = Class.forName(PREFIX + module + "$"); + Object companion = OBJECTS.get(function); + if (companion == null) { + companion = type.getField("MODULE$").get(null); + OBJECTS.put(function, companion); + origin("module:" + function, type); + } + boolean unary = module.startsWith("phonetic."); + String[] params = options.isEmpty() ? new String[0] : options.split(",", -1); + Class[] signature; + Object[] arguments; + Object leftUtf8 = fromString.invoke(null, left); + Object rightUtf8 = unary ? null : fromString.invoke(null, right); + if (unary) { + if (params.length != 0) throw new IllegalArgumentException("Unary options"); + signature = new Class[] {utf8}; + arguments = new Object[] {leftUtf8}; + } else if (params.length == 0) { + signature = new Class[] {utf8, utf8}; + arguments = new Object[] {leftUtf8, rightUtf8}; + } else if (module.startsWith("token.") && !function.equals("ss_monge_elkan")) { + if (params.length != 1) throw new IllegalArgumentException("Token options"); + signature = new Class[] {utf8, utf8, int.class}; + arguments = new Object[] {leftUtf8, rightUtf8, Integer.valueOf(params[0])}; + } else if (function.equals("ss_monge_elkan")) { + if (params.length != 2) throw new IllegalArgumentException("Monge options"); + signature = new Class[] {utf8, utf8, String.class, int.class}; + arguments = new Object[] {leftUtf8, rightUtf8, params[0], Integer.valueOf(params[1])}; + } else if (function.equals("ss_jaro_winkler")) { + if (params.length != 2) throw new IllegalArgumentException("Jaro-Winkler options"); + signature = new Class[] {utf8, utf8, double.class, int.class}; + arguments = new Object[] {leftUtf8, rightUtf8, Double.valueOf(params[0]), Integer.valueOf(params[1])}; + } else if (function.equals("ss_needleman_wunsch") || function.equals("ss_smith_waterman") + || function.equals("ss_affine_gap")) { + if (params.length != 3) throw new IllegalArgumentException("Alignment options"); + signature = new Class[] {utf8, utf8, int.class, int.class, int.class}; + arguments = new Object[] {leftUtf8, rightUtf8, Integer.valueOf(params[0]), + Integer.valueOf(params[1]), Integer.valueOf(params[2])}; + } else { + throw new IllegalArgumentException("Unsupported configured function " + function); + } + String methodKey = function + ":" + params.length; + Method method = METHODS.get(methodKey); + if (method == null) { + method = type.getMethod(unary ? "encode" : "similarity", signature); + METHODS.put(methodKey, method); + } + return method.invoke(companion, arguments); + } + + public static void main(String[] args) throws Exception { + metadata("java.version", System.getProperty("java.version")); + metadata("java.vendor", System.getProperty("java.vendor")); + uppercase(); + if (args.length == 1 && args[0].equals("--upper-ascii-only")) return; + if (args.length != 0) throw new IllegalArgumentException("Unknown oracle option"); + utf8 = Class.forName("org.apache.spark.unsafe.types.UTF8String"); + fromString = utf8.getMethod("fromString", String.class); + origin("utf8", utf8); + origin("scala", Class.forName("scala.Predef$")); + origin("commons-codec", Class.forName("org.apache.commons.codec.language.DoubleMetaphone")); + BufferedReader input = new BufferedReader(new InputStreamReader(System.in, StandardCharsets.UTF_8)); + String line; + while ((line = input.readLine()) != null) { + String[] fields = line.split("\t", -1); + if (fields.length != 5) throw new IllegalArgumentException("Expected five TSV fields"); + try { + Object result = invoke(fields[1], decode(fields[2]), decode(fields[3]), fields[4]); + if (result instanceof Double score) { + System.out.println(fields[0] + "\tscore\t" + Double.toString(score)); + } else { + System.out.println(fields[0] + "\tstring\t" + b64(result.toString())); + } + } catch (InvocationTargetException error) { + throw new IllegalStateException("Scala oracle case " + fields[0] + " failed", error.getCause()); + } + } + } +} diff --git a/examples/extensions/second-string/scripts/generate_oracle.py b/examples/extensions/second-string/scripts/generate_oracle.py new file mode 100644 index 000000000..d92eaac87 --- /dev/null +++ b/examples/extensions/second-string/scripts/generate_oracle.py @@ -0,0 +1,502 @@ +"""Generate compact fixtures by calling the pinned, compiled Scala reference.""" + +from __future__ import annotations + +import argparse +import base64 +import hashlib +import json +import math +import os +import random +import subprocess +from dataclasses import dataclass +from datetime import UTC, datetime +from pathlib import Path +from urllib.parse import unquote, urlparse + +REFERENCE_COMMIT = "a35db39fa8e9b65db2d201a45b86d11a6ca34b98" +SEED = 0x5EC0AD +MAX_FIXTURE_BYTES = 1_048_576 +type Parameter = int | float | str +type Expected = float | str + +FUNCTIONS = ( + "ss_jaccard", + "ss_cosine", + "ss_sorensen_dice", + "ss_overlap_coefficient", + "ss_braun_blanquet", + "ss_monge_elkan", + "ss_levenshtein", + "ss_lcs_similarity", + "ss_jaro", + "ss_jaro_winkler", + "ss_needleman_wunsch", + "ss_smith_waterman", + "ss_affine_gap", + "ss_soundex", + "ss_refined_soundex", + "ss_double_metaphone", +) +JAVA_OPENS = ( + "sun.nio.ch", + "java.lang", + "java.nio", + "java.lang.invoke", + "java.util", + "sun.security.action", + "java.io", +) + + +@dataclass(frozen=True, slots=True) +class Pair: + left: str + right: str + + +@dataclass(frozen=True, slots=True) +class Definition: + function: str + parameters: tuple[Parameter, ...] = () + + +@dataclass(frozen=True, slots=True) +class Case: + id: str + definition: Definition + pair: int + + +@dataclass(frozen=True, slots=True) +class Pin: + path: Path + size: int + sha256: str + + +@dataclass(frozen=True, slots=True) +class Command: + argv: tuple[str, ...] + returncode: int + stdout: Path + stderr: Path + + +@dataclass(frozen=True, slots=True) +class Parsed: + metadata: tuple[tuple[str, str], ...] + uppercase: tuple[tuple[int, str], ...] + results: tuple[tuple[str, Expected], ...] + + +@dataclass(frozen=True, slots=True) +class Config: + java: Path + javac: Path + classpath_file: Path + reference: Path + work_dir: Path + output: Path + + +def pin(path: Path) -> Pin: + payload = path.read_bytes() + return Pin(path.resolve(), len(payload), hashlib.sha256(payload).hexdigest()) + + +def encoded(value: str) -> str: + return base64.b64encode(value.encode("utf-8")).decode("ascii") + + +def decoded(value: str) -> str: + return base64.b64decode(value, validate=True).decode("utf-8") + + +def git(reference: Path, *arguments: str) -> str: + return subprocess.check_output( + ["git", "-C", str(reference), *arguments], + text=True, + stderr=subprocess.PIPE, + ).strip() + + +def source_pins(reference: Path) -> tuple[Pin, ...]: + paths = sorted((reference / "src/main/scala").rglob("*.scala")) + paths += [reference / "build.sbt", reference / "project/build.properties"] + return tuple(pin(path) for path in paths) + + +def corpus() -> tuple[Pair, ...]: + pairs = [ + Pair("", ""), + Pair("", "hello"), + Pair("hello", ""), + Pair("", " \t"), + Pair(" \t", "alpha"), + Pair(" \t\n", "\r "), + Pair("a b c", "a b d"), + Pair("a b", "a b c"), + Pair("a a a b", "a b"), + Pair("a a b", "a c c"), + Pair("hello world", "hello world"), + Pair("hello\tworld", "hello\nworld"), + Pair("alpha,beta", "alpha beta"), + Pair("Alpha beta", "alpha Beta"), + Pair("abcd", "abce"), + Pair("abc", "xyz"), + Pair("ab", "abc"), + Pair("a b", "a c"), + Pair("aaaa", "aa"), + Pair("a", "b"), + Pair("stephen smyth", "steven smith"), + Pair("alpha beta", "alpha gamma"), + Pair("alpha alpha beta", "alpha gamma"), + Pair("beta alpha", "alpha beta"), + Pair("martha", "marhta"), + Pair("DWAYNE", "DUANE"), + Pair("DIXON", "DICKSONX"), + Pair("kitten", "sitting"), + Pair("spark", "spork"), + Pair("abc", "ac"), + Pair("café", "cafe"), + Pair("cafe\u0301", "café"), + Pair("résumé", "resume"), + Pair("Müller", "Mueller"), + Pair("東京", "東京"), + Pair("東京", "大阪"), + Pair("東京 都", "東京"), + Pair("😀", "😀"), + Pair("😀", "😁"), + Pair("hello 世界", "hello world"), + Pair("John Смит", "John Smith"), + Pair("alpha\u200bbeta", "alpha beta"), + Pair("alpha\u2060beta", "alpha beta"), + Pair("北京大学", "北京大学院"), + Pair("😀a", "😁a"), + Pair("😀😁", "😁😀"), + Pair("a😀a", "a😁a"), + Pair("𐐀", "𐐨"), + Pair("İıſß", "IiSs"), + Pair("Robert", "Rupert"), + Pair("Rubin", "Robert"), + Pair("Ashcraft", "Ashcroft"), + Pair("Pfister", "Tymczak"), + Pair("Smith", "Schmidt"), + Pair("Schneider", "Snyder"), + Pair("Washington", "Jackson"), + Pair("O'Brien", "Obrien"), + Pair("A-İ-ı-ſ-Z", "AIISZ"), + Pair("1234", "!@#$"), + Pair("ÆØŁ", "AEOL"), + Pair("аβ中", "ABC"), + Pair("a\x00b", "ab"), + Pair("a\r\nb", "a b"), + Pair("abcabc", "abc"), + ] + delimiters = ( + *range(0x09, 0x0E), + *range(0x1C, 0x21), + 0x1680, + *range(0x2000, 0x2007), + *range(0x2008, 0x200B), + 0x2028, + 0x2029, + 0x205F, + 0x3000, + ) + others = (0x85, 0xA0, 0x180E, 0x2007, 0x200B, 0x202F, 0x2060, 0xFEFF) + pairs += [Pair(f"a{chr(unit)}b", "a b") for unit in (*delimiters, *others)] + names = ( + "McDonald", + "Macdonald", + "Gough", + "Laugh", + "Knight", + "Wright", + "Xavier", + "Jose", + "José", + "Jorge", + "San Jacinto", + "Thomas", + "Thompson", + "Schwarz", + "Wicz", + "Witz", + "Szczepan", + "Cheng", + "Campbell", + "Sugar", + "Allen", + "A", + "BB", + "Pf", + "Cz", + "Accident", + "Wheeler", + "Schaeffer", + "Bacher", + ) + pairs += [Pair(name, name.swapcase()) for name in names] + rng = random.Random(SEED) + alphabet = "abcdXYZ012 ,.-\t\n" + "éıſ中東😀😁\u0301\u00a0\u2003\u200b" + while len(pairs) < 300: + left = "".join(rng.choice(alphabet) for _ in range(rng.randrange(0, 18))) + mode = rng.randrange(4) + if mode == 0: + right = left + elif mode == 1: + right = left[::-1] + elif mode == 2: + right = left + rng.choice(alphabet) + else: + right = "".join(rng.choice(alphabet) for _ in range(rng.randrange(0, 18))) + pairs.append(Pair(left, right)) + return tuple(pairs) + + +def cases(pairs: tuple[Pair, ...]) -> tuple[Case, ...]: + configured: list[Definition] = [] + for function in FUNCTIONS[:5]: + configured += [Definition(function, (n,)) for n in (1, 2, 3)] + configured += [ + Definition("ss_jaro_winkler", (0.2, 6)), + Definition("ss_needleman_wunsch", (2, -2, -1)), + Definition("ss_smith_waterman", (3, -1, -2)), + Definition("ss_affine_gap", (-2, -3, -2)), + ] + for inner in ("jaro_winkler", "jaro", "levenshtein", "needleman_wunsch", "smith_waterman"): + configured += [Definition("ss_monge_elkan", (inner, n)) for n in (0, 1, 2, 3)] + definitions = [ + (index, Definition(function)) for index in range(len(pairs)) for function in FUNCTIONS + ] + definitions += [(index, definition) for index in range(64) for definition in configured] + return tuple( + Case(f"c{number:05d}", definition, index) + for number, (index, definition) in enumerate(definitions) + ) + + +def write_input(path: Path, pairs: tuple[Pair, ...], records: tuple[Case, ...]) -> None: + with path.open("x", encoding="utf-8", newline="\n") as stream: + for case in records: + pair = pairs[case.pair] + params = ",".join(str(value) for value in case.definition.parameters) + stream.write( + f"{case.id}\t{case.definition.function}\t{encoded(pair.left)}\t" + f"{encoded(pair.right)}\t{params}\n", + ) + + +def execute(argv: tuple[str, ...], work: Path, label: str, stdin: Path | None = None) -> Command: + stdout = work / f"{label}.stdout" + stderr = work / f"{label}.stderr" + with stdout.open("xb") as out, stderr.open("xb") as err: + if stdin is None: + result = subprocess.run(argv, stdout=out, stderr=err, timeout=180, check=False) + else: + with stdin.open("rb") as inp: + result = subprocess.run( + argv, stdin=inp, stdout=out, stderr=err, timeout=180, check=False + ) + command = Command(argv, result.returncode, stdout, stderr) + if command.returncode != 0: + raise RuntimeError(f"{label} failed ({command.returncode}); see {stderr}") + return command + + +def parse_output(path: Path, records: tuple[Case, ...]) -> Parsed: + metadata: dict[str, str] = {} + uppercase: list[tuple[int, str]] = [] + results: list[tuple[str, Expected]] = [] + expected = {case.id: case for case in records} + seen: set[str] = set() + for line in path.read_text(encoding="utf-8").splitlines(): + fields = line.split("\t") + if len(fields) != 3: + raise ValueError(f"Malformed oracle output: {line[:120]}") + first, kind, value = fields + if first == "#meta": + if kind in metadata: + raise ValueError(f"Repeated metadata {kind}") + metadata[kind] = decoded(value) + elif first == "#upper": + uppercase.append((int(kind), value)) + else: + if first not in expected or first in seen: + raise ValueError(f"Unknown or repeated oracle case {first}") + unary = expected[first].definition.function in FUNCTIONS[-3:] + if kind == "string" and unary: + answer: Expected = decoded(value) + elif kind == "score" and not unary: + answer = float(value) + if not math.isfinite(answer): + raise ValueError(f"Nonfinite reference answer for {first}: {value}") + else: + raise ValueError(f"Wrong result kind for {first}: {kind}") + seen.add(first) + results.append((first, answer)) + if seen != expected.keys(): + raise ValueError("Oracle omitted cases") + if len({unit for unit, _ in uppercase}) != len(uppercase): + raise ValueError("Repeated uppercase units") + if not uppercase or any( + len(letter) != 1 or not "A" <= letter <= "Z" for _, letter in uppercase + ): + raise ValueError("Invalid Java uppercase mapping") + return Parsed(tuple(sorted(metadata.items())), tuple(uppercase), tuple(results)) + + +def origin_pins(parsed: Parsed) -> tuple[Pin, ...]: + paths: set[Path] = set() + for key, value in parsed.metadata: + if key.startswith("java."): + continue + uri = urlparse(value) + if uri.scheme != "file" or uri.netloc: + raise ValueError(f"Unexpected class origin {key}: {value}") + path = Path(unquote(uri.path)) + if path.is_dir(): + paths.update(path.rglob("*.class")) + else: + paths.add(path) + return tuple(pin(path) for path in sorted(paths)) + + +def pin_json(value: Pin) -> dict[str, str | int]: + return {"path": str(value.path), "bytes": value.size, "sha256": value.sha256} + + +def command_json(value: Command) -> dict[str, object]: + return { + "argv": value.argv, + "returncode": value.returncode, + "stdout": pin_json(pin(value.stdout)), + "stderr": pin_json(pin(value.stderr)), + } + + +def generate(config: Config) -> None: + if config.output.exists() or config.work_dir.exists(): + raise FileExistsError("Fixture output and work directory must both be fresh") + head = git(config.reference, "rev-parse", "HEAD") + if head != REFERENCE_COMMIT or git(config.reference, "status", "--porcelain"): + raise ValueError("Reference must be clean at the exact pinned commit") + source_before = source_pins(config.reference) + harness = Path(__file__).with_name("Oracle.java") + helper_before = (pin(harness), pin(Path(__file__)), pin(config.classpath_file)) + classpath = config.classpath_file.read_text(encoding="utf-8").strip() + if "\n" in classpath or not classpath.startswith(str(config.reference / "target")): + raise ValueError("Expected exactly one exported reference classpath line") + if any(not Path(item).exists() for item in classpath.split(os.pathsep)): + raise ValueError("Classpath contains missing entries") + config.work_dir.mkdir(parents=True) + classes = config.work_dir / "classes" + classes.mkdir() + compiled = execute( + (str(config.javac), "-encoding", "UTF-8", "-d", str(classes), str(harness)), + config.work_dir, + "javac", + ) + pairs = corpus() + records = cases(pairs) + request = config.work_dir / "cases.tsv" + write_input(request, pairs, records) + arguments = ( + str(config.java), + "-Xmx512m", + *(f"--add-opens=java.base/{package}=ALL-UNNAMED" for package in JAVA_OPENS), + "-cp", + f"{classes}{os.pathsep}{classpath}", + "Oracle", + ) + evaluated = execute(arguments, config.work_dir, "oracle", request) + parsed = parse_output(evaluated.stdout, records) + actual_origins = origin_pins(parsed) + if ( + source_before != source_pins(config.reference) + or git(config.reference, "rev-parse", "HEAD") != head + ): + raise ValueError("Reference source changed while the oracle ran") + if git(config.reference, "status", "--porcelain") or helper_before != ( + pin(harness), + pin(Path(__file__)), + pin(config.classpath_file), + ): + raise ValueError("Oracle helper or reference cleanliness changed") + manifest = { + "commit": head, + "source": [pin_json(value) for value in source_before], + "loaded_class_origins": [pin_json(value) for value in actual_origins], + "java": dict(parsed.metadata), + } + fingerprint = hashlib.sha256( + json.dumps(manifest, sort_keys=True, separators=(",", ":")).encode() + ).hexdigest() + results = dict(parsed.results) + fixture = { + "reference": { + "repository": "https://github.com/SemyonSinchenko/spark-second-string", + "commit": head, + "fingerprint_sha256": fingerprint, + "generated_utc": datetime.now(UTC).isoformat(), + "seed": SEED, + "pair_count": len(pairs), + "case_count": len(records), + "numeric_absolute_tolerance": 1e-12, + "evaluation": "compiled Scala companion methods, not Spark jobs", + "null_scope": "non-null oracle inputs; null propagation is tested at the Sail caller", + "metadata": manifest, + "helpers": [pin_json(value) for value in helper_before], + "commands": [command_json(compiled), command_json(evaluated)], + }, + "upper_ascii": [{"unit": unit, "uppercase": upper} for unit, upper in parsed.uppercase], + "pairs": [{"left": pair.left, "right": pair.right} for pair in pairs], + "cases": [ + { + "id": case.id, + "function": case.definition.function, + "pair": case.pair, + "parameters": case.definition.parameters, + "expected": results[case.id], + } + for case in records + ], + } + payload = ( + json.dumps(fixture, ensure_ascii=False, separators=(",", ":"), allow_nan=False) + "\n" + ).encode() + if len(payload) > MAX_FIXTURE_BYTES: + raise ValueError(f"Fixture exceeds {MAX_FIXTURE_BYTES} bytes: {len(payload)}") + config.output.parent.mkdir(parents=True, exist_ok=True) + with config.output.open("xb") as output: + output.write(payload) + print( + json.dumps( + { + "outcome": "generated_compiled_reference_oracle", + "fixture": pin_json(pin(config.output)), + "cases": len(records), + "pairs": len(pairs), + "reference_fingerprint": fingerprint, + } + ) + ) + + +def main() -> None: + parser = argparse.ArgumentParser(description=__doc__) + for option in ("java", "javac", "classpath-file", "reference", "work-dir", "output"): + parser.add_argument(f"--{option}", required=True, type=Path) + args = parser.parse_args() + generate( + Config( + args.java, args.javac, args.classpath_file, args.reference, args.work_dir, args.output + ) + ) + + +if __name__ == "__main__": + main() diff --git a/examples/extensions/second-string/src/double_metaphone.rs b/examples/extensions/second-string/src/double_metaphone.rs new file mode 100644 index 000000000..3fdf17610 --- /dev/null +++ b/examples/extensions/second-string/src/double_metaphone.rs @@ -0,0 +1,506 @@ +// Licensed to the Apache Software Foundation (ASF) under one or more +// contributor license agreements. See the NOTICE file distributed with +// this work for additional information regarding copyright ownership. +// The ASF licenses this file to You under the Apache License, Version 2.0 +// (the "License"); you may not use this file except in compliance with +// the License. You may obtain a copy of the License at +// +// https://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +//! Rust translation of Apache Commons Codec 1.21.0 `DoubleMetaphone.java`. +//! +//! Source: https://github.com/apache/commons-codec/blob/rel/commons-codec-1.21.0/src/main/java/org/apache/commons/codec/language/DoubleMetaphone.java +//! Modifications: the input is already uppercase ASCII, and only the primary +//! four-character result is needed. Alternate-only appends are omitted; once +//! primary is full, further appends cannot change it, so encoding can stop. + +struct Encoder<'a> { + word: &'a [u8], + output: String, + slavo_germanic: bool, +} + +pub(super) fn encode(word: &[u8]) -> String { + let mut encoder = Encoder { + word, + output: String::with_capacity(4), + slavo_germanic: word.contains(&b'W') + || word.contains(&b'K') + || word.windows(2).any(|part| part == b"CZ") + || word.windows(4).any(|part| part == b"WITZ"), + }; + let mut index = if encoder.contains(0, 2, &["GN", "KN", "PN", "WR", "PS"]) { + 1 + } else { + 0 + }; + while encoder.output.len() < 4 && index < encoder.len() { + index = match encoder.at(index) { + b'A' | b'E' | b'I' | b'O' | b'U' | b'Y' => { + if index == 0 { + encoder.append("A"); + } + index + 1 + } + b'B' => encoder.doubled(index, b'B', "P"), + b'C' => encoder.c(index), + b'D' => encoder.d(index), + b'F' => encoder.doubled(index, b'F', "F"), + b'G' => encoder.g(index), + b'H' => encoder.h(index), + b'J' => encoder.j(index), + b'K' => encoder.doubled(index, b'K', "K"), + b'L' => encoder.doubled(index, b'L', "L"), + b'M' => { + encoder.append("M"); + if encoder.at(index + 1) == b'M' + || (encoder.contains(index - 1, 3, &["UMB"]) + && (index + 1 == encoder.len() - 1 + || encoder.contains(index + 2, 2, &["ER"]))) + { + index + 2 + } else { + index + 1 + } + } + b'N' => encoder.doubled(index, b'N', "N"), + b'P' => encoder.p(index), + b'Q' => encoder.doubled(index, b'Q', "K"), + b'R' => encoder.r(index), + b'S' => encoder.s(index), + b'T' => encoder.t(index), + b'V' => encoder.doubled(index, b'V', "F"), + b'W' => encoder.w(index), + b'X' => encoder.x(index), + b'Z' => encoder.z(index), + _ => index + 1, + }; + } + encoder.output +} + +fn vowel(letter: u8) -> bool { + b"AEIOUY".contains(&letter) +} + +impl Encoder<'_> { + fn len(&self) -> isize { + self.word.len() as isize + } + + fn at(&self, index: isize) -> u8 { + usize::try_from(index) + .ok() + .and_then(|index| self.word.get(index)) + .copied() + .unwrap_or(0) + } + + fn contains(&self, start: isize, length: usize, choices: &[&str]) -> bool { + let Ok(start) = usize::try_from(start) else { + return false; + }; + let Some(end) = start.checked_add(length) else { + return false; + }; + self.word + .get(start..end) + .is_some_and(|part| choices.iter().any(|choice| part == choice.as_bytes())) + } + + fn append(&mut self, code: &str) { + let remaining = 4 - self.output.len(); + self.output.push_str(&code[..code.len().min(remaining)]); + } + + fn doubled(&mut self, index: isize, letter: u8, code: &str) -> isize { + self.append(code); + index + if self.at(index + 1) == letter { 2 } else { 1 } + } + + fn condition_c0(&self, i: isize) -> bool { + if self.contains(i, 4, &["CHIA"]) { + return true; + } + if i <= 1 || vowel(self.at(i - 2)) || !self.contains(i - 1, 3, &["ACH"]) { + return false; + } + (self.at(i + 2) != b'I' && self.at(i + 2) != b'E') + || self.contains(i - 2, 6, &["BACHER", "MACHER"]) + } + + fn condition_ch0(&self, i: isize) -> bool { + i == 0 + && (self.contains(i + 1, 5, &["HARAC", "HARIS"]) + || self.contains(i + 1, 3, &["HOR", "HYM", "HIA", "HEM"])) + && !self.contains(0, 5, &["CHORE"]) + } + + fn condition_ch1(&self, i: isize) -> bool { + self.contains(0, 4, &["VAN ", "VON "]) + || self.contains(0, 3, &["SCH"]) + || self.contains(i - 2, 6, &["ORCHES", "ARCHIT", "ORCHID"]) + || self.contains(i + 2, 1, &["T", "S"]) + || ((self.contains(i - 1, 1, &["A", "O", "U", "E"]) || i == 0) + && (self.contains( + i + 2, + 1, + &["L", "R", "N", "M", "B", "H", "F", "V", "W", " "], + ) || i + 1 == self.len() - 1)) + } + + fn c(&mut self, i: isize) -> isize { + if self.condition_c0(i) { + self.append("K"); + i + 2 + } else if i == 0 && self.contains(i, 6, &["CAESAR"]) { + self.append("S"); + i + 2 + } else if self.contains(i, 2, &["CH"]) { + self.ch(i) + } else if self.contains(i, 2, &["CZ"]) && !self.contains(i - 2, 4, &["WICZ"]) { + self.append("S"); + i + 2 + } else if self.contains(i + 1, 3, &["CIA"]) { + self.append("X"); + i + 3 + } else if self.contains(i, 2, &["CC"]) && !(i == 1 && self.at(0) == b'M') { + self.cc(i) + } else if self.contains(i, 2, &["CK", "CG", "CQ"]) { + self.append("K"); + i + 2 + } else if self.contains(i, 2, &["CI", "CE", "CY"]) { + self.append("S"); + i + 2 + } else { + self.append("K"); + if self.contains(i + 1, 2, &[" C", " Q", " G"]) { + i + 3 + } else if self.contains(i + 1, 1, &["C", "K", "Q"]) + && !self.contains(i + 1, 2, &["CE", "CI"]) + { + i + 2 + } else { + i + 1 + } + } + } + + fn cc(&mut self, i: isize) -> isize { + if self.contains(i + 2, 1, &["I", "E", "H"]) && !self.contains(i + 2, 2, &["HU"]) { + if (i == 1 && self.at(i - 1) == b'A') || self.contains(i - 1, 5, &["UCCEE", "UCCES"]) { + self.append("KS"); + } else { + self.append("X"); + } + i + 3 + } else { + self.append("K"); + i + 2 + } + } + + fn ch(&mut self, i: isize) -> isize { + if (i > 0 && self.contains(i, 4, &["CHAE"])) + || self.condition_ch0(i) + || self.condition_ch1(i) + || (i > 0 && self.contains(0, 2, &["MC"])) + { + self.append("K"); + } else { + self.append("X"); + } + i + 2 + } + + fn d(&mut self, i: isize) -> isize { + if self.contains(i, 2, &["DG"]) { + if self.contains(i + 2, 1, &["I", "E", "Y"]) { + self.append("J"); + i + 3 + } else { + self.append("TK"); + i + 2 + } + } else { + self.append("T"); + i + if self.contains(i, 2, &["DT", "DD"]) { + 2 + } else { + 1 + } + } + } + + fn g(&mut self, i: isize) -> isize { + if self.at(i + 1) == b'H' { + self.gh(i) + } else if self.at(i + 1) == b'N' { + if i == 1 && vowel(self.at(0)) && !self.slavo_germanic { + self.append("KN"); + } else if !self.contains(i + 2, 2, &["EY"]) + && self.at(i + 1) != b'Y' + && !self.slavo_germanic + { + self.append("N"); + } else { + self.append("KN"); + } + i + 2 + } else if self.contains(i + 1, 2, &["LI"]) && !self.slavo_germanic { + self.append("KL"); + i + 2 + } else if (i == 0 + && (self.at(i + 1) == b'Y' + || self.contains( + i + 1, + 2, + &[ + "ES", "EP", "EB", "EL", "EY", "IB", "IL", "IN", "IE", "EI", "ER", + ], + ))) + || ((self.contains(i + 1, 2, &["ER"]) || self.at(i + 1) == b'Y') + && !self.contains(0, 6, &["DANGER", "RANGER", "MANGER"]) + && !self.contains(i - 1, 1, &["E", "I"]) + && !self.contains(i - 1, 3, &["RGY", "OGY"])) + { + self.append("K"); + i + 2 + } else if self.contains(i + 1, 1, &["E", "I", "Y"]) + || self.contains(i - 1, 4, &["AGGI", "OGGI"]) + { + if self.contains(0, 4, &["VAN ", "VON "]) + || self.contains(0, 3, &["SCH"]) + || self.contains(i + 1, 2, &["ET"]) + { + self.append("K"); + } else { + self.append("J"); + } + i + 2 + } else { + self.doubled(i, b'G', "K") + } + } + + fn gh(&mut self, i: isize) -> isize { + if i > 0 && !vowel(self.at(i - 1)) { + self.append("K"); + } else if i == 0 { + self.append(if self.at(i + 2) == b'I' { "J" } else { "K" }); + } else if !((i > 1 && self.contains(i - 2, 1, &["B", "H", "D"])) + || (i > 2 && self.contains(i - 3, 1, &["B", "H", "D"])) + || (i > 3 && self.contains(i - 4, 1, &["B", "H"]))) + { + if i > 2 + && self.at(i - 1) == b'U' + && self.contains(i - 3, 1, &["C", "G", "L", "R", "T"]) + { + self.append("F"); + } else if i > 0 && self.at(i - 1) != b'I' { + self.append("K"); + } + } + i + 2 + } + + fn h(&mut self, i: isize) -> isize { + if (i == 0 || vowel(self.at(i - 1))) && vowel(self.at(i + 1)) { + self.append("H"); + i + 2 + } else { + i + 1 + } + } + + fn j(&mut self, i: isize) -> isize { + if self.contains(i, 4, &["JOSE"]) || self.contains(0, 4, &["SAN "]) { + if (i == 0 && self.at(i + 4) == b' ') + || self.len() == 4 + || self.contains(0, 4, &["SAN "]) + { + self.append("H"); + } else { + self.append("J"); + } + i + 1 + } else { + if (i == 0 && !self.contains(i, 4, &["JOSE"])) + || (vowel(self.at(i - 1)) + && !self.slavo_germanic + && matches!(self.at(i + 1), b'A' | b'O')) + || i == self.len() - 1 + || (!self.contains(i + 1, 1, &["L", "T", "K", "S", "N", "M", "B", "Z"]) + && !self.contains(i - 1, 1, &["S", "K", "L"])) + { + self.append("J"); + } + i + if self.at(i + 1) == b'J' { 2 } else { 1 } + } + } + + fn p(&mut self, i: isize) -> isize { + if self.at(i + 1) == b'H' { + self.append("F"); + i + 2 + } else { + self.append("P"); + i + if self.contains(i + 1, 1, &["P", "B"]) { + 2 + } else { + 1 + } + } + } + + fn r(&mut self, i: isize) -> isize { + if !(i == self.len() - 1 + && !self.slavo_germanic + && self.contains(i - 2, 2, &["IE"]) + && !self.contains(i - 4, 2, &["ME", "MA"])) + { + self.append("R"); + } + i + if self.at(i + 1) == b'R' { 2 } else { 1 } + } + + fn s(&mut self, i: isize) -> isize { + if self.contains(i - 1, 3, &["ISL", "YSL"]) { + i + 1 + } else if i == 0 && self.contains(i, 5, &["SUGAR"]) { + self.append("X"); + i + 1 + } else if self.contains(i, 2, &["SH"]) { + self.append( + if self.contains(i + 1, 4, &["HEIM", "HOEK", "HOLM", "HOLZ"]) { + "S" + } else { + "X" + }, + ); + i + 2 + } else if self.contains(i, 3, &["SIO", "SIA"]) || self.contains(i, 4, &["SIAN"]) { + self.append("S"); + i + 3 + } else if (i == 0 && self.contains(i + 1, 1, &["M", "N", "L", "W"])) + || self.contains(i + 1, 1, &["Z"]) + { + self.append("S"); + i + if self.contains(i + 1, 1, &["Z"]) { + 2 + } else { + 1 + } + } else if self.contains(i, 2, &["SC"]) { + self.sc(i) + } else { + if !(i == self.len() - 1 && self.contains(i - 2, 2, &["AI", "OI"])) { + self.append("S"); + } + i + if self.contains(i + 1, 1, &["S", "Z"]) { + 2 + } else { + 1 + } + } + } + + fn sc(&mut self, i: isize) -> isize { + if self.at(i + 2) == b'H' { + if self.contains(i + 3, 2, &["OO", "ER", "EN", "UY", "ED", "EM"]) { + self.append(if self.contains(i + 3, 2, &["ER", "EN"]) { + "X" + } else { + "SK" + }); + } else { + self.append("X"); + } + } else if self.contains(i + 2, 1, &["I", "E", "Y"]) { + self.append("S"); + } else { + self.append("SK"); + } + i + 3 + } + + fn t(&mut self, i: isize) -> isize { + if self.contains(i, 4, &["TION"]) || self.contains(i, 3, &["TIA", "TCH"]) { + self.append("X"); + i + 3 + } else if self.contains(i, 2, &["TH"]) || self.contains(i, 3, &["TTH"]) { + self.append( + if self.contains(i + 2, 2, &["OM", "AM"]) + || self.contains(0, 4, &["VAN ", "VON "]) + || self.contains(0, 3, &["SCH"]) + { + "T" + } else { + "0" + }, + ); + i + 2 + } else { + self.append("T"); + i + if self.contains(i + 1, 1, &["T", "D"]) { + 2 + } else { + 1 + } + } + } + + fn w(&mut self, i: isize) -> isize { + if self.contains(i, 2, &["WR"]) { + self.append("R"); + i + 2 + } else if i == 0 && (vowel(self.at(i + 1)) || self.contains(i, 2, &["WH"])) { + self.append("A"); + i + 1 + } else if (i == self.len() - 1 && vowel(self.at(i - 1))) + || self.contains(i - 1, 5, &["EWSKI", "EWSKY", "OWSKI", "OWSKY"]) + || self.contains(0, 3, &["SCH"]) + { + i + 1 + } else if self.contains(i, 4, &["WICZ", "WITZ"]) { + self.append("TS"); + i + 4 + } else { + i + 1 + } + } + + fn x(&mut self, i: isize) -> isize { + if i == 0 { + self.append("S"); + i + 1 + } else { + if !(i == self.len() - 1 + && (self.contains(i - 3, 3, &["IAU", "EAU"]) + || self.contains(i - 2, 2, &["AU", "OU"]))) + { + self.append("KS"); + } + i + if self.contains(i + 1, 1, &["C", "X"]) { + 2 + } else { + 1 + } + } + } + + fn z(&mut self, i: isize) -> isize { + if self.at(i + 1) == b'H' { + self.append("J"); + i + 2 + } else { + self.doubled(i, b'Z', "S") + } + } +} diff --git a/examples/extensions/second-string/src/function.rs b/examples/extensions/second-string/src/function.rs new file mode 100644 index 000000000..8a7734fee --- /dev/null +++ b/examples/extensions/second-string/src/function.rs @@ -0,0 +1,112 @@ +//! The sixteen upstream SQL names and ten separately named configurable helpers. +use crate::{matrix::MatrixMetric, token::TokenMetric}; + +#[derive(Clone, Copy, Debug, Eq, PartialEq, Hash)] +pub enum Function { + Jaccard, + SorensenDice, + OverlapCoefficient, + Cosine, + BraunBlanquet, + MongeElkan, + Levenshtein, + LcsSimilarity, + Jaro, + JaroWinkler, + NeedlemanWunsch, + SmithWaterman, + AffineGap, + Soundex, + RefinedSoundex, + DoubleMetaphone, +} + +impl Function { + pub const ALL: [Self; 16] = [ + Self::Jaccard, + Self::SorensenDice, + Self::OverlapCoefficient, + Self::Cosine, + Self::BraunBlanquet, + Self::MongeElkan, + Self::Levenshtein, + Self::LcsSimilarity, + Self::Jaro, + Self::JaroWinkler, + Self::NeedlemanWunsch, + Self::SmithWaterman, + Self::AffineGap, + Self::Soundex, + Self::RefinedSoundex, + Self::DoubleMetaphone, + ]; + + pub fn name(self) -> &'static str { + match self { + Self::Jaccard => "ss_jaccard", + Self::SorensenDice => "ss_sorensen_dice", + Self::OverlapCoefficient => "ss_overlap_coefficient", + Self::Cosine => "ss_cosine", + Self::BraunBlanquet => "ss_braun_blanquet", + Self::MongeElkan => "ss_monge_elkan", + Self::Levenshtein => "ss_levenshtein", + Self::LcsSimilarity => "ss_lcs_similarity", + Self::Jaro => "ss_jaro", + Self::JaroWinkler => "ss_jaro_winkler", + Self::NeedlemanWunsch => "ss_needleman_wunsch", + Self::SmithWaterman => "ss_smith_waterman", + Self::AffineGap => "ss_affine_gap", + Self::Soundex => "ss_soundex", + Self::RefinedSoundex => "ss_refined_soundex", + Self::DoubleMetaphone => "ss_double_metaphone", + } + } + + pub fn configured_name(self) -> Option<&'static str> { + match self { + Self::Jaccard => Some("ss_jaccard_with_options"), + Self::SorensenDice => Some("ss_sorensen_dice_with_options"), + Self::OverlapCoefficient => Some("ss_overlap_coefficient_with_options"), + Self::Cosine => Some("ss_cosine_with_options"), + Self::BraunBlanquet => Some("ss_braun_blanquet_with_options"), + Self::MongeElkan => Some("ss_monge_elkan_with_options"), + Self::JaroWinkler => Some("ss_jaro_winkler_with_options"), + Self::NeedlemanWunsch => Some("ss_needleman_wunsch_with_options"), + Self::SmithWaterman => Some("ss_smith_waterman_with_options"), + Self::AffineGap => Some("ss_affine_gap_with_options"), + _ => None, + } + } + + pub fn phonetic(self) -> bool { + matches!( + self, + Self::Soundex | Self::RefinedSoundex | Self::DoubleMetaphone + ) + } + + pub fn token(self) -> Option { + match self { + Self::Jaccard => Some(TokenMetric::Jaccard), + Self::SorensenDice => Some(TokenMetric::SorensenDice), + Self::OverlapCoefficient => Some(TokenMetric::OverlapCoefficient), + Self::Cosine => Some(TokenMetric::Cosine), + Self::BraunBlanquet => Some(TokenMetric::BraunBlanquet), + Self::MongeElkan => Some(TokenMetric::MongeElkan), + _ => None, + } + } + + pub fn matrix(self) -> Option { + match self { + Self::Levenshtein => Some(MatrixMetric::Levenshtein), + Self::LcsSimilarity => Some(MatrixMetric::LcsSimilarity), + Self::Jaro => Some(MatrixMetric::Jaro), + Self::JaroWinkler => Some(MatrixMetric::JaroWinkler), + Self::NeedlemanWunsch => Some(MatrixMetric::NeedlemanWunsch), + Self::SmithWaterman => Some(MatrixMetric::SmithWaterman), + Self::AffineGap => Some(MatrixMetric::AffineGap), + _ => None, + } + } +} diff --git a/examples/extensions/second-string/src/lib.rs b/examples/extensions/second-string/src/lib.rs new file mode 100644 index 000000000..bbeef543b --- /dev/null +++ b/examples/extensions/second-string/src/lib.rs @@ -0,0 +1,70 @@ +//! Spark Second String native functions, exported via DataFusion FFI. +mod function; +mod matrix; +mod options; +mod phonetic; +mod token; +mod udf; + +use datafusion_expr::ScalarUDF; +use datafusion_ffi::udf::FFI_ScalarUDF; +use pyo3::prelude::*; +use pyo3::types::PyCapsule; +use std::sync::Arc; + +#[pyclass(skip_from_py_object)] +#[derive(Clone)] +struct NativeScalarUdf { + inner: Arc, +} + +#[pymethods] +impl NativeScalarUdf { + fn name(&self) -> &str { + self.inner.name() + } + fn aliases(&self) -> Vec { + Vec::new() + } + fn __datafusion_scalar_udf__<'py>(&self, py: Python<'py>) -> PyResult> { + PyCapsule::new_with_value( + py, + FFI_ScalarUDF::from(Arc::clone(&self.inner)), + c"datafusion_scalar_udf", + ) + } +} + +#[pyclass] +struct BoundSecondString { + #[pyo3(get)] + session_id: String, + functions: Vec, +} + +#[pymethods] +impl BoundSecondString { + #[new] + fn new(session_id: String) -> Self { + Self { + session_id, + functions: udf::functions() + .into_iter() + .map(|inner| NativeScalarUdf { inner }) + .collect(), + } + } + fn scalar_udfs(&self) -> Vec { + self.functions.clone() + } +} + +#[pymodule] +fn _native(module: &Bound<'_, PyModule>) -> PyResult<()> { + module.add_class::()?; + module.add_class::()?; + Ok(()) +} + +#[cfg(test)] +mod tests; diff --git a/examples/extensions/second-string/src/matrix.rs b/examples/extensions/second-string/src/matrix.rs new file mode 100644 index 000000000..81ea43260 --- /dev/null +++ b/examples/extensions/second-string/src/matrix.rs @@ -0,0 +1,366 @@ +//! Matrix metrics ported from spark-second-string a35db39fa8e9b65db2d201a45b86d11a6ca34b98. +//! +//! Java `String` indexing is by UTF-16 code unit, including inside surrogate pairs. +//! Parameter validation belongs to the SQL call boundary, as in the Scala expressions. + +use std::mem; + +#[derive(Clone, Copy, Debug, Eq, PartialEq)] +pub enum MatrixMetric { + Levenshtein, + LcsSimilarity, + Jaro, + JaroWinkler, + NeedlemanWunsch, + SmithWaterman, + AffineGap, +} + +#[derive(Clone, Copy, Debug, PartialEq)] +pub struct JaroWinklerParams { + pub prefix_scale: f64, + pub prefix_cap: usize, +} + +impl Default for JaroWinklerParams { + fn default() -> Self { + Self { + prefix_scale: 0.1, + prefix_cap: 4, + } + } +} + +#[derive(Clone, Copy, Debug, Eq, PartialEq)] +pub struct AlignmentParams { + pub match_score: i32, + pub mismatch_penalty: i32, + pub gap_penalty: i32, +} + +impl AlignmentParams { + pub const NEEDLEMAN_WUNSCH: Self = Self { + match_score: 1, + mismatch_penalty: -1, + gap_penalty: -1, + }; + pub const SMITH_WATERMAN: Self = Self { + match_score: 2, + mismatch_penalty: -1, + gap_penalty: -1, + }; +} + +#[derive(Clone, Copy, Debug, Eq, PartialEq)] +pub struct AffineGapParams { + pub mismatch_penalty: i32, + pub gap_open_penalty: i32, + pub gap_extend_penalty: i32, +} + +impl Default for AffineGapParams { + fn default() -> Self { + Self { + mismatch_penalty: -1, + gap_open_penalty: -2, + gap_extend_penalty: -1, + } + } +} + +pub fn score(metric: MatrixMetric, left: &str, right: &str) -> f64 { + match metric { + MatrixMetric::Levenshtein => levenshtein(left, right), + MatrixMetric::LcsSimilarity => lcs_similarity(left, right), + MatrixMetric::Jaro => jaro(left, right), + MatrixMetric::JaroWinkler => jaro_winkler(left, right), + MatrixMetric::NeedlemanWunsch => needleman_wunsch(left, right), + MatrixMetric::SmithWaterman => smith_waterman(left, right), + MatrixMetric::AffineGap => affine_gap(left, right), + } +} + +fn resolve(left: &str, right: &str) -> (Vec, Vec) { + ( + left.encode_utf16().collect(), + right.encode_utf16().collect(), + ) +} + +fn boundary(left: usize, right: usize) -> Option { + match (left, right) { + (0, 0) => Some(1.0), + (0, _) | (_, 0) => Some(0.0), + _ => None, + } +} + +fn clamp(value: f64) -> f64 { + // These comparisons deliberately preserve NaN, like the Scala helper. + value.clamp(0.0, 1.0) +} + +fn normalize_distance(distance: i32, left: usize, right: usize) -> f64 { + let maximum = left.max(right); + if maximum == 0 { + 1.0 + } else { + clamp(1.0 - f64::from(distance) / maximum as f64) + } +} + +pub fn levenshtein(left: &str, right: &str) -> f64 { + let (left, right) = resolve(left, right); + if let Some(result) = boundary(left.len(), right.len()) { + return result; + } + let mut previous: Vec = (0..=right.len()).map(|index| index as i32).collect(); + let mut current = vec![0_i32; right.len() + 1]; + for (i, left_unit) in left.iter().enumerate() { + current[0] = (i + 1) as i32; + for (j, right_unit) in right.iter().enumerate() { + let substitution = i32::from(left_unit != right_unit); + current[j + 1] = previous[j + 1] + .wrapping_add(1) + .min(current[j].wrapping_add(1)) + .min(previous[j].wrapping_add(substitution)); + } + mem::swap(&mut previous, &mut current); + } + normalize_distance(previous[right.len()], left.len(), right.len()) +} + +pub fn lcs_similarity(left: &str, right: &str) -> f64 { + let (left, right) = resolve(left, right); + if let Some(result) = boundary(left.len(), right.len()) { + return result; + } + let mut previous = vec![0_i32; right.len() + 1]; + let mut current = vec![0_i32; right.len() + 1]; + for left_unit in &left { + current[0] = 0; + for (j, right_unit) in right.iter().enumerate() { + current[j + 1] = if left_unit == right_unit { + previous[j].wrapping_add(1) + } else { + previous[j + 1].max(current[j]) + }; + } + mem::swap(&mut previous, &mut current); + } + clamp(f64::from(previous[right.len()]) / left.len().max(right.len()) as f64) +} + +pub fn jaro(left: &str, right: &str) -> f64 { + let (left, right) = resolve(left, right); + jaro_units(&left, &right) +} + +fn jaro_units(left: &[u16], right: &[u16]) -> f64 { + if let Some(result) = boundary(left.len(), right.len()) { + return result; + } + let radius = (left.len().max(right.len()) / 2).saturating_sub(1); + let mut left_matched = vec![false; left.len()]; + let mut right_matched = vec![false; right.len()]; + let mut matches = 0_usize; + for (i, left_unit) in left.iter().enumerate() { + let start = i.saturating_sub(radius); + let end = (i + radius + 1).min(right.len()); + for j in start..end { + if !right_matched[j] && *left_unit == right[j] { + left_matched[i] = true; + right_matched[j] = true; + matches += 1; + break; + } + } + } + if matches == 0 { + return 0.0; + } + let mut right_cursor = 0_usize; + let mut transpositions = 0_usize; + for (i, left_unit) in left.iter().enumerate() { + if left_matched[i] { + while !right_matched[right_cursor] { + right_cursor += 1; + } + if *left_unit != right[right_cursor] { + transpositions += 1; + } + right_cursor += 1; + } + } + let matches = matches as f64; + let transpositions = transpositions as f64 / 2.0; + clamp( + ((matches / left.len() as f64) + + (matches / right.len() as f64) + + ((matches - transpositions) / matches)) + / 3.0, + ) +} + +pub fn jaro_winkler(left: &str, right: &str) -> f64 { + jaro_winkler_with_params(left, right, JaroWinklerParams::default()) +} + +pub fn jaro_winkler_with_params(left: &str, right: &str, params: JaroWinklerParams) -> f64 { + let (left, right) = resolve(left, right); + if let Some(result) = boundary(left.len(), right.len()) { + return result; + } + let jaro = jaro_units(&left, &right); + if jaro <= 0.0 { + return 0.0; + } + let prefix = left + .iter() + .zip(&right) + .take(params.prefix_cap) + .take_while(|(left_unit, right_unit)| left_unit == right_unit) + .count(); + clamp(jaro + prefix as f64 * params.prefix_scale * (1.0 - jaro)) +} + +pub fn needleman_wunsch(left: &str, right: &str) -> f64 { + needleman_wunsch_with_params(left, right, AlignmentParams::NEEDLEMAN_WUNSCH) +} + +pub fn needleman_wunsch_with_params(left: &str, right: &str, params: AlignmentParams) -> f64 { + let (left, right) = resolve(left, right); + if let Some(result) = boundary(left.len(), right.len()) { + return result; + } + let mut previous: Vec = (0..=right.len()) + .map(|index| (index as i32).wrapping_mul(params.gap_penalty)) + .collect(); + let mut current = vec![0_i32; right.len() + 1]; + for (i, left_unit) in left.iter().enumerate() { + current[0] = ((i + 1) as i32).wrapping_mul(params.gap_penalty); + for (j, right_unit) in right.iter().enumerate() { + let substitution = if left_unit == right_unit { + params.match_score + } else { + params.mismatch_penalty + }; + current[j + 1] = previous[j] + .wrapping_add(substitution) + .max(previous[j + 1].wrapping_add(params.gap_penalty)) + .max(current[j].wrapping_add(params.gap_penalty)); + } + mem::swap(&mut previous, &mut current); + } + let maximum = left.len().max(right.len()) as f64; + // The upstream normalization intentionally does not scale with match_score. + clamp((f64::from(previous[right.len()]) + maximum) / (2.0 * maximum)) +} + +pub fn smith_waterman(left: &str, right: &str) -> f64 { + smith_waterman_with_params(left, right, AlignmentParams::SMITH_WATERMAN) +} + +pub fn smith_waterman_with_params(left: &str, right: &str, params: AlignmentParams) -> f64 { + let (left, right) = resolve(left, right); + if let Some(result) = boundary(left.len(), right.len()) { + return result; + } + let mut previous = vec![0_i32; right.len() + 1]; + let mut current = vec![0_i32; right.len() + 1]; + let mut best = 0_i32; + for left_unit in &left { + current[0] = 0; + for (j, right_unit) in right.iter().enumerate() { + let substitution = if left_unit == right_unit { + params.match_score + } else { + params.mismatch_penalty + }; + let cell = 0 + .max(previous[j].wrapping_add(substitution)) + .max(previous[j + 1].wrapping_add(params.gap_penalty)) + .max(current[j].wrapping_add(params.gap_penalty)); + current[j + 1] = cell; + best = best.max(cell); + } + mem::swap(&mut previous, &mut current); + } + let maximum = f64::from(params.match_score) * left.len().min(right.len()) as f64; + if maximum <= 0.0 { + 1.0 + } else { + clamp(f64::from(best) / maximum) + } +} + +pub fn affine_gap(left: &str, right: &str) -> f64 { + affine_gap_with_params(left, right, AffineGapParams::default()) +} + +const AFFINE_INFINITY: i32 = i32::MAX / 4; + +fn affine_plus(value: i32, increment: i32) -> i32 { + if value >= AFFINE_INFINITY.wrapping_sub(increment) { + AFFINE_INFINITY + } else { + value.wrapping_add(increment) + } +} + +fn gap_cost(length: usize, open: i32, extend: i32) -> i32 { + open.wrapping_add((length as i32).wrapping_mul(extend)) +} + +pub fn affine_gap_with_params(left: &str, right: &str, params: AffineGapParams) -> f64 { + let (left, right) = resolve(left, right); + if let Some(result) = boundary(left.len(), right.len()) { + return result; + } + // Scala Int arithmetic wraps, including negation of Int.MinValue. + let mismatch = params.mismatch_penalty.wrapping_neg(); + let open = params.gap_open_penalty.wrapping_neg(); + let extend = params.gap_extend_penalty.wrapping_neg(); + let open_and_extend = open.wrapping_add(extend); + let mut previous_match = vec![AFFINE_INFINITY; right.len() + 1]; + let mut current_match = vec![AFFINE_INFINITY; right.len() + 1]; + let mut previous_left = vec![AFFINE_INFINITY; right.len() + 1]; + let mut current_left = vec![AFFINE_INFINITY; right.len() + 1]; + let mut previous_right = vec![AFFINE_INFINITY; right.len() + 1]; + let mut current_right = vec![AFFINE_INFINITY; right.len() + 1]; + previous_match[0] = 0; + for (j, cell) in previous_left.iter_mut().enumerate().skip(1) { + *cell = gap_cost(j, open, extend); + } + for (i, left_unit) in left.iter().enumerate() { + current_match[0] = AFFINE_INFINITY; + current_left[0] = AFFINE_INFINITY; + current_right[0] = gap_cost(i + 1, open, extend); + for (j, right_unit) in right.iter().enumerate() { + let substitution = if left_unit == right_unit { 0 } else { mismatch }; + current_match[j + 1] = affine_plus( + previous_match[j] + .min(previous_left[j]) + .min(previous_right[j]), + substitution, + ); + current_left[j + 1] = affine_plus(current_match[j], open_and_extend) + .min(affine_plus(current_left[j], extend)) + .min(affine_plus(current_right[j], open_and_extend)); + current_right[j + 1] = affine_plus(previous_match[j + 1], open_and_extend) + .min(affine_plus(previous_right[j + 1], extend)) + .min(affine_plus(previous_left[j + 1], open_and_extend)); + } + mem::swap(&mut previous_match, &mut current_match); + mem::swap(&mut previous_left, &mut current_left); + mem::swap(&mut previous_right, &mut current_right); + } + let distance = previous_match[right.len()] + .min(previous_left[right.len()]) + .min(previous_right[right.len()]); + normalize_distance(distance, left.len(), right.len()) +} + +#[cfg(test)] +#[path = "matrix_tests.rs"] +mod tests; diff --git a/examples/extensions/second-string/src/matrix_tests.rs b/examples/extensions/second-string/src/matrix_tests.rs new file mode 100644 index 000000000..b8b6df5ac --- /dev/null +++ b/examples/extensions/second-string/src/matrix_tests.rs @@ -0,0 +1,288 @@ +use super::{ + affine_gap, affine_gap_with_params, jaro, jaro_winkler, jaro_winkler_with_params, + lcs_similarity, levenshtein, needleman_wunsch, needleman_wunsch_with_params, score, + smith_waterman, smith_waterman_with_params, AffineGapParams, AlignmentParams, + JaroWinklerParams, MatrixMetric, +}; + +const METRICS: [MatrixMetric; 7] = [ + MatrixMetric::Levenshtein, + MatrixMetric::LcsSimilarity, + MatrixMetric::Jaro, + MatrixMetric::JaroWinkler, + MatrixMetric::NeedlemanWunsch, + MatrixMetric::SmithWaterman, + MatrixMetric::AffineGap, +]; + +fn close(actual: f64, expected: f64) { + assert!( + (actual - expected).abs() <= 1e-12, + "actual {actual}, expected {expected}" + ); +} + +#[test] +fn shared_empty_boundaries_and_identical_strings() { + for metric in METRICS { + assert_eq!(score(metric, "", ""), 1.0); + assert_eq!(score(metric, "", "spark"), 0.0); + assert_eq!(score(metric, "spark", ""), 0.0); + assert_eq!(score(metric, "spark", "spark"), 1.0); + assert_eq!(score(metric, "東京😀", "東京😀"), 1.0); + } +} + +#[test] +fn upstream_levenshtein_examples() { + close(levenshtein("spark", "spork"), 0.8); + close(levenshtein("kitten", "sitting"), 1.0 - 3.0 / 7.0); + close(levenshtein("ab", "abc"), 1.0 - 1.0 / 3.0); +} + +#[test] +fn upstream_lcs_is_subsequence_normalized_by_longer_input() { + close(lcs_similarity("abcde", "axxxx"), 1.0 / 5.0); + close(lcs_similarity("abcd", "dcba"), 0.25); + close(lcs_similarity("abcdef", "ace"), 0.5); + close(lcs_similarity("ace", "abcdef"), 0.5); +} + +#[test] +fn upstream_jaro_examples_and_repeated_matches() { + close(jaro("martha", "marhta"), 17.0 / 18.0); + close(jaro("dwayne", "duane"), 37.0 / 45.0); + close(jaro("aaaa", "aaab"), 5.0 / 6.0); + close(jaro("abcd", "abc"), 11.0 / 12.0); + assert_eq!(jaro("abc", "xyz"), 0.0); +} + +#[test] +fn jaro_uses_half_a_transposition_for_an_odd_mismatch_count() { + // The matched sequences abcdef/bcadef differ at three positions. Scala + // divides that count by 2.0, rather than truncating it with integer division. + close(jaro("abcdef", "bcadef"), 11.0 / 12.0); +} + +#[test] +fn upstream_jaro_winkler_examples() { + close(jaro_winkler("martha", "marhta"), 0.9611111111111111); + close(jaro_winkler("dwayne", "duane"), 0.8400000000000001); + close(jaro_winkler("aaaa", "aaab"), 0.8833333333333333); + assert_eq!(jaro_winkler("abc", "xyz"), 0.0); +} + +#[test] +fn winkler_boost_has_no_point_seven_threshold() { + close(jaro("ab", "ac"), 2.0 / 3.0); + close(jaro_winkler("ab", "ac"), 0.7); +} + +#[test] +fn winkler_configured_prefix_and_final_clamp() { + close( + jaro_winkler_with_params( + "martha", + "marhta", + JaroWinklerParams { + prefix_scale: 0.2, + prefix_cap: 6, + }, + ), + 44.0 / 45.0, + ); + assert_eq!( + jaro_winkler_with_params( + "abcdefghijx", + "abcdefghijy", + JaroWinklerParams { + prefix_scale: 0.25, + prefix_cap: 10, + }, + ), + 1.0 + ); +} + +#[test] +fn winkler_nan_arithmetic_matches_source_comparisons() { + let params = JaroWinklerParams { + prefix_scale: f64::NAN, + prefix_cap: 4, + }; + assert!(jaro_winkler_with_params("same", "same", params).is_nan()); + assert!(jaro_winkler_with_params("ab", "ac", params).is_nan()); + assert_eq!(jaro_winkler_with_params("ab", "xy", params), 0.0); + assert_eq!(jaro_winkler_with_params("", "", params), 1.0); +} + +#[test] +fn upstream_global_alignment_examples() { + assert_eq!(needleman_wunsch("abc", "xyz"), 0.0); + close(needleman_wunsch("aaaa", "aaab"), 0.75); + close(needleman_wunsch("abcdef", "abc"), 0.5); +} + +#[test] +fn global_alignment_config_keeps_fixed_source_normalization() { + let params = AlignmentParams { + match_score: 2, + mismatch_penalty: -2, + gap_penalty: -1, + }; + // Global score 2 - 1 = 1, normalized by (score + max_length)/(2*max_length). + close(needleman_wunsch_with_params("a", "ab", params), 0.75); + assert_eq!(needleman_wunsch_with_params("a", "a", params), 1.0); + assert_eq!(needleman_wunsch_with_params("a", "z", params), 0.0); +} + +#[test] +fn upstream_local_alignment_examples() { + close(smith_waterman("ACACACTA", "AGCACACA"), 0.75); + assert_eq!(smith_waterman("abc", "xabcx"), 1.0); + assert_eq!(smith_waterman("abc", "xyz"), 0.0); +} + +#[test] +fn local_alignment_zero_penalties_and_configured_match_scale() { + let free_gaps = AlignmentParams { + match_score: 3, + mismatch_penalty: 0, + gap_penalty: 0, + }; + assert_eq!(smith_waterman_with_params("ab", "axxb", free_gaps), 1.0); + let costly_gaps = AlignmentParams { + match_score: 3, + mismatch_penalty: -1, + gap_penalty: -2, + }; + close(smith_waterman_with_params("ab", "axxb", costly_gaps), 0.5); +} + +#[test] +fn affine_gap_charges_opening_and_every_extension() { + // One dropped suffix costs 2 + 1*1 = 3, so a/ab clamps to zero. + assert_eq!(affine_gap("a", "ab"), 0.0); + // Three dropped suffix units cost 2 + 3*1 = 5. + close(affine_gap("abcdef", "abc"), 1.0 / 6.0); + close(affine_gap("aaaa", "aaab"), 0.75); + let params = AffineGapParams { + mismatch_penalty: -2, + gap_open_penalty: -3, + gap_extend_penalty: -2, + }; + close(affine_gap_with_params("aa", "ab", params), 0.0); + assert_eq!(affine_gap_with_params("a", "ab", params), 0.0); +} + +#[test] +fn explicit_default_parameters_match_default_entry_points() { + for (left, right) in [("spark", "spork"), ("😀", "😁"), ("", "abc")] { + assert_eq!( + jaro_winkler(left, right), + jaro_winkler_with_params(left, right, JaroWinklerParams::default()) + ); + assert_eq!( + needleman_wunsch(left, right), + needleman_wunsch_with_params(left, right, AlignmentParams::NEEDLEMAN_WUNSCH) + ); + assert_eq!( + smith_waterman(left, right), + smith_waterman_with_params(left, right, AlignmentParams::SMITH_WATERMAN) + ); + assert_eq!( + affine_gap(left, right), + affine_gap_with_params(left, right, AffineGapParams::default()) + ); + } +} + +#[test] +fn supplementary_characters_are_two_utf16_units() { + // These emoji share the high surrogate and differ only in the low surrogate. + let expected = [0.5, 0.5, 2.0 / 3.0, 0.7, 0.5, 0.5, 0.5]; + for (metric, expected) in METRICS.into_iter().zip(expected) { + close(score(metric, "😀", "😁"), expected); + } + close(levenshtein("😀", "😀a"), 2.0 / 3.0); + close(lcs_similarity("😀", "😀a"), 2.0 / 3.0); +} + +#[test] +fn no_unicode_normalization_or_case_folding() { + close(levenshtein("cafe\u{0301}", "café"), 0.6); + close(lcs_similarity("cafe\u{0301}", "café"), 0.6); + close(levenshtein("東京", "大阪"), 0.0); + close(levenshtein("Spark", "spark"), 0.8); + close(levenshtein("a\u{200b}b", "ab"), 2.0 / 3.0); +} + +#[test] +fn source_unicode_fixtures_are_bounded_and_repeatable() { + let fixtures = [ + ("cafe", "cafe"), + ("café", "cafe"), + ("cafe\u{0301}", "café"), + ("résumé", "resume"), + ("Müller", "Mueller"), + ("東京", "大阪"), + ("東京 都", "東京"), + ("hello 世界", "hello world"), + ("John Смит", "John Smith"), + ("alpha\u{200b}beta", "alpha beta"), + ("alpha\u{2060}beta", "alpha beta"), + ("北京大学", "北京大学院"), + ]; + for metric in METRICS { + for (left, right) in fixtures { + let actual = score(metric, left, right); + assert!((0.0..=1.0).contains(&actual)); + assert_eq!(actual, score(metric, left, right)); + } + } +} + +#[test] +fn custom_int_arithmetic_wraps_as_java_int() { + let params = AlignmentParams { + match_score: 1, + mismatch_penalty: -1, + gap_penalty: i32::MIN, + }; + // In the global recurrence, two gap penalties wrap to zero. Saturating + // arithmetic would instead pick a mismatch and produce zero similarity. + close(needleman_wunsch_with_params("a", "b", params), 0.5); + assert_eq!(smith_waterman_with_params("a", "b", params), 0.0); + let affine = AffineGapParams { + mismatch_penalty: i32::MIN, + gap_open_penalty: -2, + gap_extend_penalty: -1, + }; + // Negating Int.MinValue wraps back to Int.MinValue. The upstream safePlus + // threshold also wraps, so it selects Infinity rather than a negative cost. + assert_eq!(affine_gap_with_params("a", "b", affine), 0.0); +} + +#[test] +fn configured_empty_boundaries_precede_alignment_arithmetic() { + let params = AlignmentParams { + match_score: i32::MAX, + mismatch_penalty: i32::MIN, + gap_penalty: i32::MIN, + }; + assert_eq!(needleman_wunsch_with_params("", "", params), 1.0); + assert_eq!(needleman_wunsch_with_params("", "a", params), 0.0); + assert_eq!(smith_waterman_with_params("a", "", params), 0.0); + assert_eq!( + affine_gap_with_params( + "", + "a", + AffineGapParams { + mismatch_penalty: i32::MIN, + gap_open_penalty: i32::MIN, + gap_extend_penalty: i32::MIN, + }, + ), + 0.0 + ); +} diff --git a/examples/extensions/second-string/src/options.rs b/examples/extensions/second-string/src/options.rs new file mode 100644 index 000000000..e96c61399 --- /dev/null +++ b/examples/extensions/second-string/src/options.rs @@ -0,0 +1,139 @@ +//! Literal-only configuration reproduces the Scala DSL's constructor parameters. +use crate::{ + function::Function, + matrix::{self, AffineGapParams, AlignmentParams, JaroWinklerParams}, + token::{self, MongeInnerMetric, TokenConfig}, +}; +use arrow_schema::DataType; +use datafusion_common::{plan_err, Result, ScalarValue}; + +#[derive(Debug, Clone)] +pub enum Options { + Default, + Token(TokenConfig), + JaroWinkler(JaroWinklerParams), + Alignment(AlignmentParams), + AffineGap(AffineGapParams), +} + +pub fn parse(function: Function, values: &[&ScalarValue]) -> Result { + let error = |text: &str| { + datafusion_common::DataFusionError::Plan(format!("{}: {text}", function.name())) + }; + let integer = |index: usize| -> Result { + match values.get(index) { + Some(ScalarValue::Int32(Some(value))) => Ok(*value), + Some(ScalarValue::Int64(Some(value))) => { + i32::try_from(*value).map_err(|_| error("option exceeds Scala Int range")) + } + _ => Err(error("integer options must be non-null integer literals")), + } + }; + if function.token().is_some() { + let (inner_metric, index) = if function == Function::MongeElkan { + let inner = match values.first() { + Some(ScalarValue::Utf8(Some(value))) + | Some(ScalarValue::LargeUtf8(Some(value))) + | Some(ScalarValue::Utf8View(Some(value))) => value.as_str(), + _ => return Err(error("inner metric must be a non-null string literal")), + }; + let metric = match inner { + "jaro_winkler" => MongeInnerMetric::JaroWinkler, + "jaro" => MongeInnerMetric::Jaro, + "levenshtein" => MongeInnerMetric::Levenshtein, + "needleman_wunsch" => MongeInnerMetric::NeedlemanWunsch, + "smith_waterman" => MongeInnerMetric::SmithWaterman, + _ => return Err(error("unsupported Monge-Elkan inner metric")), + }; + (metric, 1) + } else { + (MongeInnerMetric::JaroWinkler, 0) + }; + let ngram = integer(index)?; + if ngram < 0 { + return Err(error("ngramSize must be >= 0")); + } + return Ok(Options::Token(TokenConfig { + ngram_size: ngram as usize, + inner_metric, + })); + } + match function { + Function::JaroWinkler => { + let scale = match values.first() { + Some(value) if !value.is_null() && value.data_type().is_numeric() => { + match value.cast_to(&DataType::Float64)? { + ScalarValue::Float64(Some(value)) => value, + _ => return Err(error("prefixScale must be a non-null numeric literal")), + } + } + _ => return Err(error("prefixScale must be a non-null numeric literal")), + }; + let cap = integer(1)?; + // Spark's constructor permits NaN; preserve its comparison semantics. + if scale <= 0.0 || scale > 0.25 || !(1..=10).contains(&cap) { + return Err(error( + "prefixScale must be in (0, 0.25] and prefixCap in [1, 10]", + )); + } + Ok(Options::JaroWinkler(JaroWinklerParams { + prefix_scale: scale, + prefix_cap: cap as usize, + })) + } + Function::NeedlemanWunsch | Function::SmithWaterman => { + let params = AlignmentParams { + match_score: integer(0)?, + mismatch_penalty: integer(1)?, + gap_penalty: integer(2)?, + }; + let penalties_valid = if function == Function::NeedlemanWunsch { + params.mismatch_penalty < 0 && params.gap_penalty < 0 + } else { + params.mismatch_penalty <= 0 && params.gap_penalty <= 0 + }; + if params.match_score <= 0 || !penalties_valid { + return Err(error("invalid alignment scoring parameters")); + } + Ok(Options::Alignment(params)) + } + Function::AffineGap => { + let params = AffineGapParams { + mismatch_penalty: integer(0)?, + gap_open_penalty: integer(1)?, + gap_extend_penalty: integer(2)?, + }; + if params.mismatch_penalty >= 0 + || params.gap_open_penalty >= 0 + || params.gap_extend_penalty >= 0 + { + return Err(error("affine gap penalties must be < 0")); + } + Ok(Options::AffineGap(params)) + } + _ => plan_err!("{} has no configurable parameters", function.name()), + } +} + +pub fn score(function: Function, left: &str, right: &str, options: &Options) -> f64 { + if let Some(metric) = function.token() { + let defaults = TokenConfig::default(); + let config = match options { + Options::Token(config) => config, + _ => &defaults, + }; + return token::score(metric, left, right, config); + } + match options { + Options::JaroWinkler(params) => matrix::jaro_winkler_with_params(left, right, *params), + Options::Alignment(params) if function == Function::NeedlemanWunsch => { + matrix::needleman_wunsch_with_params(left, right, *params) + } + Options::Alignment(params) => matrix::smith_waterman_with_params(left, right, *params), + Options::AffineGap(params) => matrix::affine_gap_with_params(left, right, *params), + _ => function + .matrix() + .map(|metric| matrix::score(metric, left, right)) + .unwrap_or(0.0), + } +} diff --git a/examples/extensions/second-string/src/phonetic.rs b/examples/extensions/second-string/src/phonetic.rs new file mode 100644 index 000000000..e921b507f --- /dev/null +++ b/examples/extensions/second-string/src/phonetic.rs @@ -0,0 +1,86 @@ +//! Native equivalents of spark-second-string's unary phonetic wrappers. +//! +//! These wrappers normalize before encoding, including before Commons Codec's +//! Double Metaphone. Their Soundex and Refined Soundex are the Scala project's +//! implementations, not Apache Commons Codec's similarly named encoders. + +#[path = "double_metaphone.rs"] +mod double_metaphone_impl; + +/// Java `Character.toUpperCase(char)` followed by the wrapper's A–Z filter. +/// +/// Java visits UTF-16 code units and uses a one-character uppercase mapping: +/// neither supplementary letters nor uppercase expansions such as ß → SS +/// survive. The two non-ASCII code units whose uppercase is ASCII are ı and ſ. +fn normalize(input: &str) -> Vec { + input + .chars() + .filter_map(|c| match c { + 'A'..='Z' => Some(c as u8), + 'a'..='z' => Some(c as u8 - b'a' + b'A'), + '\u{0131}' => Some(b'I'), + '\u{017f}' => Some(b'S'), + _ => None, + }) + .collect() +} + +/// Soundex as implemented by the reference Scala wrapper. +pub fn soundex(input: &str) -> String { + const CODES: &[u8; 26] = b"01230120022455012623010202"; + let word = normalize(input); + let Some(&first) = word.first() else { + return String::new(); + }; + let mut output = String::with_capacity(4); + output.push(char::from(first)); + let mut previous = CODES[usize::from(first - b'A')]; + for &letter in &word[1..] { + let code = CODES[usize::from(letter - b'A')]; + if code != b'0' && code != previous { + output.push(char::from(code)); + if output.len() == 4 { + break; + } + } + if code != b'0' { + previous = code; + } else if b"AEIOUY".contains(&letter) { + previous = b'0'; + } + } + while output.len() < 4 { + output.push('0'); + } + output +} + +/// Variable-length Refined Soundex as implemented by the Scala wrapper. +pub fn refined_soundex(input: &str) -> String { + const CODES: &[u8; 26] = b"01230560062788012923050202"; + let word = normalize(input); + let Some(&first) = word.first() else { + return String::new(); + }; + let mut output = String::with_capacity(word.len() + 1); + output.push(char::from(first)); + let mut previous = CODES[usize::from(first - b'A')]; + for &letter in &word[1..] { + let code = CODES[usize::from(letter - b'A')]; + if code != previous { + output.push(char::from(code)); + } + previous = code; + } + output +} + +/// Commons Codec 1.21.0 Double Metaphone primary code, capped at four bytes, +/// after the reference Scala wrapper's normalization. +pub fn double_metaphone(input: &str) -> String { + double_metaphone_impl::encode(&normalize(input)) +} + +#[cfg(test)] +#[path = "phonetic_tests.rs"] +mod tests; diff --git a/examples/extensions/second-string/src/phonetic_tests.rs b/examples/extensions/second-string/src/phonetic_tests.rs new file mode 100644 index 000000000..e66bb12c7 --- /dev/null +++ b/examples/extensions/second-string/src/phonetic_tests.rs @@ -0,0 +1,99 @@ +use super::{double_metaphone, normalize, refined_soundex, soundex}; + +#[test] +fn soundex_matches_reference_scala_examples() { + for (word, code) in [ + ("Robert", "R163"), + ("Rupert", "R163"), + ("Ashcraft", "A261"), + ("Tymczak", "T522"), + ("Pfister", "P236"), + ("A", "A000"), + ("123", ""), + ] { + assert_eq!(soundex(word), code, "{word}"); + } +} + +#[test] +fn soundex_vowels_reset_duplicates_but_h_and_w_do_not() { + assert_eq!(soundex("BHB"), "B000"); + assert_eq!(soundex("BWB"), "B000"); + for vowel in ['A', 'E', 'I', 'O', 'U', 'Y'] { + assert_eq!(soundex(&format!("B{vowel}B")), "B100"); + } + // Removed punctuation does not become a separator in the encoder. + assert_eq!(soundex("B-B"), "B000"); +} + +#[test] +fn refined_soundex_uses_wrapper_initial_code_and_zero_semantics() { + // The Scala wrapper omits the initial letter's digit, unlike Commons + // RefinedSoundex, and includes subsequent zero-code transitions. + assert_eq!(refined_soundex("Robert"), "R01093"); + assert_eq!(refined_soundex("Rupert"), "R01093"); + assert_eq!(refined_soundex("Smith"), "S8030"); + assert_eq!(refined_soundex("smith"), "S8030"); + assert_eq!(refined_soundex("A"), "A"); + assert_eq!(refined_soundex("BHB"), "B01"); + assert_eq!(refined_soundex("AAA"), "A"); + assert_eq!(refined_soundex("123"), ""); +} + +#[test] +fn normalization_follows_java_simple_uppercase_of_utf16_units() { + assert_eq!(normalize("aBzıſ"), b"ABZIS"); + assert_eq!(normalize("İéñçßffKＫ𝕂𐐨😀"), b""); + assert_eq!(normalize("Émile O'Brien-12"), b"MILEOBRIEN"); + assert_eq!(normalize("e\u{0301}"), b"E"); + for encode in [soundex, refined_soundex, double_metaphone] { + assert_eq!(encode("ıſ"), encode("IS")); + assert_eq!(encode("ßff𝕂"), ""); + assert_eq!(encode("Émile"), encode("mile")); + assert_eq!(encode("É"), ""); + assert_eq!(encode("O'Brien"), encode("OBRIEN")); + assert_eq!(encode("San Jose"), encode("SANJOSE")); + assert_eq!(encode("a\0b"), encode("AB")); + assert_eq!(encode(""), ""); + } +} + +#[test] +fn double_metaphone_matches_commons_121_primary_examples() { + // Alphabetic examples from Apache Commons Codec 1.21.0's test suite. + for (word, code) in [ + ("testing", "TSTN"), + ("The", "0"), + ("quick", "KK"), + ("brown", "PRN"), + ("fox", "FKS"), + ("jumped", "JMPT"), + ("over", "AFR"), + ("lazy", "LS"), + ("dogs", "TKS"), + ("MacCafferey", "MKFR"), + ("Stephan", "STFN"), + ("Kuczewski", "KSSK"), + ("McClelland", "MKLL"), + ("xenophobia", "SNFP"), + ] { + assert_eq!(double_metaphone(word), code, "{word}"); + assert_eq!(double_metaphone(&word.to_uppercase()), code, "{word}"); + } + assert_eq!(double_metaphone("Stephen"), double_metaphone("Steven")); +} + +#[test] +fn double_metaphone_covers_silent_initials_and_truncation() { + for (word, code) in [ + ("gnome", "NM"), + ("knight", "NT"), + ("pneumonia", "NMN"), + ("write", "RT"), + ("psalm", "SLM"), + ] { + assert_eq!(double_metaphone(word), code, "{word}"); + } + assert_eq!(double_metaphone("Ababababab"), "APPP"); + assert_eq!(double_metaphone("123"), ""); +} diff --git a/examples/extensions/second-string/src/tests.rs b/examples/extensions/second-string/src/tests.rs new file mode 100644 index 000000000..c4ff68cea --- /dev/null +++ b/examples/extensions/second-string/src/tests.rs @@ -0,0 +1,296 @@ +use std::sync::Arc; + +use arrow_schema::Field; +use datafusion_common::arrow::array::{ + Array, Float64Array, LargeStringArray, StringArray, StringViewArray, +}; +use datafusion_common::config::ConfigOptions; +use datafusion_common::{Result, ScalarValue}; +use datafusion_expr::{ + ColumnarValue, ReturnFieldArgs, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, +}; +use datafusion_ffi::udf::{FFI_ScalarUDF, ForeignScalarUDF}; +use serde::Deserialize; + +use crate::udf; + +fn foreign(name: &str) -> ScalarUDF { + let original = udf::functions() + .into_iter() + .find(|function| function.name() == name) + .unwrap(); + extern "C" fn foreign_marker() -> usize { + 0 + } + let mut exported = FFI_ScalarUDF::from(original); + exported.library_marker_id = foreign_marker; + let imported: Arc = exported.into(); + assert!(imported.is::()); + ScalarUDF::new_from_shared_impl(imported) +} + +fn invoke(function: &ScalarUDF, args: Vec) -> Result { + let fields: Vec<_> = args + .iter() + .map(|arg| Arc::new(Field::new("arg", arg.data_type(), true))) + .collect(); + let scalars: Vec<_> = args + .iter() + .map(|arg| match arg { + ColumnarValue::Scalar(value) => Some(value), + _ => None, + }) + .collect(); + let rows = args + .iter() + .find_map(|arg| match arg { + ColumnarValue::Array(array) => Some(array.len()), + _ => None, + }) + .unwrap_or(1); + let return_field = function.return_field_from_args(ReturnFieldArgs { + arg_fields: &fields, + scalar_arguments: &scalars, + })?; + function.invoke_with_args(ScalarFunctionArgs { + args, + arg_fields: fields, + number_rows: rows, + return_field, + config_options: Arc::new(ConfigOptions::new()), + }) +} + +fn text(value: Option<&str>) -> ColumnarValue { + ColumnarValue::Scalar(ScalarValue::Utf8(value.map(str::to_owned))) +} + +fn scalar(value: ColumnarValue) -> ScalarValue { + ScalarValue::try_from_array(&value.into_array(1).unwrap(), 0).unwrap() +} + +#[test] +fn all_names_and_default_arities_are_preserved() { + assert_eq!(udf::functions().len(), 26); + assert!(invoke(&foreign("ss_jaro"), vec![text(Some("x"))]).is_err()); + assert!(invoke( + &foreign("ss_jaccard"), + vec![text(Some("x")), text(Some("x")), text(Some("x"))] + ) + .is_err()); + assert!(invoke( + &foreign("ss_soundex"), + vec![text(Some("x")), text(Some("x"))] + ) + .is_err()); +} + +#[test] +fn foreign_batches_preserve_nulls_slices_and_scalar_broadcast() { + let values = StringArray::from(vec![ + Some("padding"), + Some("MARTHA"), + None, + Some("DWAYNE"), + Some("padding"), + ]) + .slice(1, 3); + let output = invoke( + &foreign("ss_jaro_winkler"), + vec![ColumnarValue::Array(Arc::new(values)), text(Some("MARHTA"))], + ) + .unwrap() + .into_array(3) + .unwrap(); + let scores = output.as_any().downcast_ref::().unwrap(); + assert!((scores.value(0) - 0.9611111111111111).abs() < 1e-12); + assert!(scores.is_null(1)); + assert!(!scores.is_null(2)); + assert_eq!( + scalar( + invoke( + &foreign("ss_levenshtein"), + vec![text(None), text(Some("x"))] + ) + .unwrap() + ), + ScalarValue::Float64(None) + ); + assert_eq!( + scalar(invoke(&foreign("ss_soundex"), vec![text(None)]).unwrap()), + ScalarValue::Utf8(None) + ); +} + +#[test] +fn foreign_large_and_view_strings_use_utf16_reference_semantics() { + for input in [ + ColumnarValue::Array(Arc::new(LargeStringArray::from(vec![ + Some("😀"), + None, + Some(""), + ]))), + ColumnarValue::Array(Arc::new(StringViewArray::from(vec![ + Some("😀"), + None, + Some(""), + ]))), + ] { + let result = invoke(&foreign("ss_levenshtein"), vec![input, text(Some("😁"))]) + .unwrap() + .into_array(3) + .unwrap(); + let scores = result.as_any().downcast_ref::().unwrap(); + assert_eq!(scores.value(0), 0.5); + assert!(scores.is_null(1)); + assert_eq!(scores.value(2), 0.0); + } + let input = ColumnarValue::Array(Arc::new(StringArray::from(Vec::>::new()))); + assert_eq!( + invoke(&foreign("ss_jaccard"), vec![input.clone(), input]) + .unwrap() + .into_array(0) + .unwrap() + .len(), + 0 + ); +} + +#[test] +fn literal_options_survive_foreign_transport_and_invalid_domains_are_refused() { + let options = ColumnarValue::Scalar(ScalarValue::Int64(Some(2))); + assert_eq!( + scalar( + invoke( + &foreign("ss_jaccard_with_options"), + vec![text(Some("abcd")), text(Some("abce")), options] + ) + .unwrap() + ), + ScalarValue::Float64(Some(0.5)) + ); + assert!(invoke( + &foreign("ss_cosine_with_options"), + vec![ + text(Some("x")), + text(Some("y")), + ColumnarValue::Scalar(ScalarValue::Int64(Some(-1))) + ] + ) + .is_err()); + assert!(invoke( + &foreign("ss_monge_elkan_with_options"), + vec![ + text(Some("x")), + text(Some("y")), + text(Some("unknown")), + ColumnarValue::Scalar(ScalarValue::Int64(Some(0))) + ] + ) + .is_err()); + assert!(invoke( + &foreign("ss_jaro_winkler_with_options"), + vec![ + text(Some("x")), + text(Some("y")), + ColumnarValue::Scalar(ScalarValue::Float64(Some(0.3))), + ColumnarValue::Scalar(ScalarValue::Int64(Some(4))) + ] + ) + .is_err()); + let nonliteral = ColumnarValue::Array(Arc::new( + datafusion_common::arrow::array::Int64Array::from(vec![2]), + )); + assert!(invoke( + &foreign("ss_jaccard_with_options"), + vec![text(Some("x")), text(Some("y")), nonliteral] + ) + .is_err()); +} + +#[derive(Deserialize)] +struct Oracle { + pairs: Vec, + cases: Vec, +} +#[derive(Deserialize)] +struct Pair { + left: String, + right: Option, +} +#[derive(Deserialize)] +struct Case { + id: serde_json::Value, + function: String, + pair: usize, + parameters: Vec, + expected: serde_json::Value, +} + +#[test] +fn compiled_scala_oracle_matches_all_exported_functions_through_arrow_ffi() { + let path = std::path::Path::new(env!("CARGO_MANIFEST_DIR")).join("tests/fixtures/oracle.json"); + let oracle: Oracle = serde_json::from_str( + &std::fs::read_to_string(path) + .expect("generate the pinned Scala oracle before qualification"), + ) + .unwrap(); + assert!( + oracle.cases.len() >= 1000, + "qualification must include the complete corpus" + ); + let functions: std::collections::HashMap<_, _> = udf::functions() + .iter() + .map(|function| { + let name = function.name().to_owned(); + (name.clone(), foreign(&name)) + }) + .collect(); + for case in &oracle.cases { + let pair = &oracle.pairs[case.pair]; + let name = if case.parameters.is_empty() { + case.function.clone() + } else { + format!("{}_with_options", case.function) + }; + let mut args = vec![text(Some(&pair.left))]; + if !matches!( + case.function.as_str(), + "ss_soundex" | "ss_refined_soundex" | "ss_double_metaphone" + ) { + args.push(text(Some(pair.right.as_ref().expect("binary oracle pair")))); + } + for (index, value) in case.parameters.iter().enumerate() { + let scalar = if let Some(value) = value.as_str() { + ScalarValue::Utf8(Some(value.to_owned())) + } else if case.function == "ss_jaro_winkler" && index == 0 { + ScalarValue::Float64(value.as_f64()) + } else { + ScalarValue::Int64(value.as_i64()) + }; + args.push(ColumnarValue::Scalar(scalar)); + } + let actual = scalar( + invoke(&functions[&name], args) + .unwrap_or_else(|error| panic!("case {} {name}: {error}", case.id)), + ); + if let Some(expected) = case.expected.as_str() { + assert_eq!( + actual, + ScalarValue::Utf8(Some(expected.to_owned())), + "case {} {name}", + case.id + ); + } else { + let ScalarValue::Float64(Some(actual)) = actual else { + panic!("case {} did not return Float64", case.id) + }; + let expected = case.expected.as_f64().unwrap(); + assert!( + (actual - expected).abs() <= 1e-12, + "case {} {name}: actual={actual} reference={expected}", + case.id + ); + } + } +} diff --git a/examples/extensions/second-string/src/token.rs b/examples/extensions/second-string/src/token.rs new file mode 100644 index 000000000..64670a364 --- /dev/null +++ b/examples/extensions/second-string/src/token.rs @@ -0,0 +1,193 @@ +//! Token similarities from spark-second-string at a35db39fa8e9b65db2d201a45b86d11a6ca34b98. +//! +//! Inputs are non-null and case-sensitive. The caller handles SQL nulls and +//! validates configuration once. N-grams count Java UTF-16 code units rather +//! than Unicode scalar values; whitespace mode uses `Character.isWhitespace`. + +use std::collections::BTreeSet; + +use crate::matrix::{self, MatrixMetric}; + +#[derive(Clone, Copy, Debug, PartialEq, Eq)] +pub enum TokenMetric { + Jaccard, + Cosine, + SorensenDice, + OverlapCoefficient, + BraunBlanquet, + MongeElkan, +} + +/// Only the inner metrics accepted by upstream Monge-Elkan. +#[derive(Clone, Copy, Debug, Default, PartialEq, Eq)] +pub enum MongeInnerMetric { + #[default] + JaroWinkler, + Jaro, + Levenshtein, + NeedlemanWunsch, + SmithWaterman, +} + +impl MongeInnerMetric { + fn matrix_metric(self) -> MatrixMetric { + match self { + Self::JaroWinkler => MatrixMetric::JaroWinkler, + Self::Jaro => MatrixMetric::Jaro, + Self::Levenshtein => MatrixMetric::Levenshtein, + Self::NeedlemanWunsch => MatrixMetric::NeedlemanWunsch, + Self::SmithWaterman => MatrixMetric::SmithWaterman, + } + } +} + +#[derive(Clone, Copy, Debug, Default, PartialEq, Eq)] +pub struct TokenConfig { + /// Zero selects whitespace tokens; positive values select UTF-16 n-grams. + pub ngram_size: usize, + /// Used only by Monge-Elkan, with the inner metric's upstream defaults. + pub inner_metric: MongeInnerMetric, +} + +/// Compute an upstream token score for two non-null strings. +pub fn score(metric: TokenMetric, left: &str, right: &str, config: &TokenConfig) -> f64 { + if metric == TokenMetric::MongeElkan { + return monge_elkan(left, right, config); + } + + // The five set metrics check raw strings before tokenization. In + // particular, a nonempty whitespace-only string is not a raw empty string. + if left.is_empty() && right.is_empty() { + return 1.0; + } + if left.is_empty() || right.is_empty() { + return 0.0; + } + + let left_tokens = token_set(left, config.ngram_size); + let right_tokens = token_set(right, config.ngram_size); + let intersection = left_tokens.intersection(&right_tokens).count(); + let left_size = left_tokens.len(); + let right_size = right_tokens.len(); + + let (numerator, denominator) = match metric { + TokenMetric::Jaccard => ( + intersection as f64, + (left_size + right_size - intersection) as f64, + ), + TokenMetric::Cosine => ( + intersection as f64, + ((left_size as f64) * (right_size as f64)).sqrt(), + ), + TokenMetric::SorensenDice => (2.0 * (intersection as f64), (left_size + right_size) as f64), + TokenMetric::OverlapCoefficient => (intersection as f64, left_size.min(right_size) as f64), + TokenMetric::BraunBlanquet => (intersection as f64, left_size.max(right_size) as f64), + TokenMetric::MongeElkan => unreachable!("Monge-Elkan returns before set scoring"), + }; + if denominator == 0.0 { + 1.0 + } else { + numerator / denominator + } +} + +/// Java's whitespace predicate on a UTF-16 code unit. In particular, NBSP, +/// figure space, narrow NBSP and NEL are not delimiters; U+001C..U+001F are. +fn java_whitespace(unit: u16) -> bool { + matches!( + unit, + 0x0009..=0x000D + | 0x001C..=0x0020 + | 0x1680 + | 0x2000..=0x2006 + | 0x2008..=0x200A + | 0x2028..=0x2029 + | 0x205F + | 0x3000 + ) +} + +fn whitespace_tokens(value: &str) -> Vec> { + let units: Vec = value.encode_utf16().collect(); + units + .split(|unit| java_whitespace(*unit)) + .filter(|token| !token.is_empty()) + .map(<[u16]>::to_vec) + .collect() +} + +fn token_set(value: &str, ngram_size: usize) -> BTreeSet> { + if ngram_size == 0 { + return whitespace_tokens(value).into_iter().collect(); + } + + let units: Vec = value.encode_utf16().collect(); + if units.is_empty() { + BTreeSet::new() + } else if units.len() < ngram_size { + BTreeSet::from([units]) + } else { + units.windows(ngram_size).map(<[u16]>::to_vec).collect() + } +} + +/// Match Java String.getBytes(UTF_8), used by UTF8String.fromString in Monge: +/// malformed UTF-16 (possible after an n-gram splits a surrogate pair) becomes +/// ASCII '?'. Replacing it with U+FFFD would change the inner metric's score. +fn java_utf8_roundtrip(units: &[u16]) -> String { + char::decode_utf16(units.iter().copied()) + .map(|result| result.unwrap_or('?')) + .collect() +} + +fn monge_tokens(value: &str, ngram_size: usize) -> Vec { + let tokens = if ngram_size == 0 { + // Sequence tokenization retains repetitions and input order. + whitespace_tokens(value) + } else { + // N-gram mode removes repetitions. A fixed UTF-16 order makes + // floating reduction deterministic; Java HashSet does not expose an + // ordering contract, so cross-runtime scores use a numeric tolerance. + token_set(value, ngram_size).into_iter().collect() + }; + tokens + .iter() + .map(|token| java_utf8_roundtrip(token)) + .collect() +} + +fn directed_similarity(left: &[String], right: &[String], metric: MatrixMetric) -> f64 { + let mut sum_best = 0.0; + for left_token in left { + let mut best = 0.0; + for right_token in right { + let candidate = matrix::score(metric, left_token, right_token); + if candidate > best { + best = candidate; + } + } + sum_best += best; + } + sum_best / (left.len() as f64) +} + +fn monge_elkan(left: &str, right: &str, config: &TokenConfig) -> f64 { + let left_tokens = monge_tokens(left, config.ngram_size); + let right_tokens = monge_tokens(right, config.ngram_size); + if left_tokens.is_empty() && right_tokens.is_empty() { + return 1.0; + } + if left_tokens.is_empty() || right_tokens.is_empty() { + return 0.0; + } + + let metric = config.inner_metric.matrix_metric(); + let raw_score = (directed_similarity(&left_tokens, &right_tokens, metric) + + directed_similarity(&right_tokens, &left_tokens, metric)) + / 2.0; + raw_score.clamp(0.0, 1.0) +} + +#[cfg(test)] +#[path = "token_tests.rs"] +mod tests; diff --git a/examples/extensions/second-string/src/token_tests.rs b/examples/extensions/second-string/src/token_tests.rs new file mode 100644 index 000000000..05a6c372c --- /dev/null +++ b/examples/extensions/second-string/src/token_tests.rs @@ -0,0 +1,281 @@ +use super::{ + java_utf8_roundtrip, java_whitespace, monge_tokens, score, token_set, whitespace_tokens, + MongeInnerMetric, TokenConfig, TokenMetric, +}; + +const SET_METRICS: [TokenMetric; 5] = [ + TokenMetric::Jaccard, + TokenMetric::Cosine, + TokenMetric::SorensenDice, + TokenMetric::OverlapCoefficient, + TokenMetric::BraunBlanquet, +]; + +fn assert_close(actual: f64, expected: f64) { + assert!((actual - expected).abs() <= 1e-12, "{actual} != {expected}"); +} + +fn grams(ngram_size: usize) -> TokenConfig { + TokenConfig { + ngram_size, + ..TokenConfig::default() + } +} + +#[test] +fn all_metrics_preserve_raw_empty_boundaries_and_case() { + for metric in SET_METRICS.into_iter().chain([TokenMetric::MongeElkan]) { + let config = TokenConfig::default(); + assert_eq!(score(metric, "", "", &config), 1.0); + assert_eq!(score(metric, "", "hello", &config), 0.0); + assert_eq!(score(metric, "hello", "", &config), 0.0); + assert_eq!(score(metric, "hello world", "hello world", &config), 1.0); + assert_eq!(score(metric, "A", "a", &config), 0.0); + } +} + +#[test] +fn set_metrics_match_hand_computed_cardinality_formulas() { + let config = TokenConfig::default(); + let cases = [ + (TokenMetric::Jaccard, 0.5, 1.0 / 3.0), + (TokenMetric::Cosine, 2.0 / 3.0, 0.5), + (TokenMetric::SorensenDice, 4.0 / 6.0, 0.5), + (TokenMetric::OverlapCoefficient, 2.0 / 3.0, 0.5), + (TokenMetric::BraunBlanquet, 2.0 / 3.0, 0.5), + ]; + for (metric, partial, duplicates) in cases { + assert_close(score(metric, "a b c", "a b d", &config), partial); + assert_close(score(metric, "a a b", "a c c", &config), duplicates); + assert_eq!(score(metric, "a a a b", "a b", &config), 1.0); + assert_eq!(score(metric, "alpha", "omega", &config), 0.0); + } + assert_close( + score(TokenMetric::Cosine, "a b", "a", &config), + 1.0 / 2.0_f64.sqrt(), + ); + assert_eq!( + score(TokenMetric::BraunBlanquet, "a b c d", "a b", &config), + 0.5 + ); + assert_eq!( + score(TokenMetric::OverlapCoefficient, "a b c d", "a b", &config), + 1.0 + ); +} + +#[test] +fn raw_empty_and_whitespace_only_are_distinct_upstream_cases() { + let config = TokenConfig::default(); + for metric in SET_METRICS { + assert_eq!(score(metric, " \t\n", "\r ", &config), 1.0); + assert_eq!(score(metric, "", " \t", &config), 0.0); + let expected = match metric { + TokenMetric::Cosine | TokenMetric::OverlapCoefficient => 1.0, + _ => 0.0, + }; + assert_eq!(score(metric, " \t", "alpha", &config), expected); + assert_eq!(score(metric, "alpha", " \t", &config), expected); + } + assert_eq!(score(TokenMetric::MongeElkan, "", " \t", &config), 1.0); + assert_eq!(score(TokenMetric::MongeElkan, " \t", "alpha", &config), 0.0); +} + +#[test] +fn java_whitespace_delimiters_and_exclusions_are_explicit() { + let delimiters = [ + 0x0009, 0x000A, 0x000B, 0x000C, 0x000D, 0x001C, 0x001D, 0x001E, 0x001F, 0x0020, 0x1680, + 0x2000, 0x2001, 0x2002, 0x2003, 0x2004, 0x2005, 0x2006, 0x2008, 0x2009, 0x200A, 0x2028, + 0x2029, 0x205F, 0x3000, + ]; + for unit in delimiters { + assert!(java_whitespace(unit)); + let separator = char::from_u32(u32::from(unit)).expect("BMP delimiter"); + let value = format!("alpha{separator}beta"); + for metric in SET_METRICS { + assert_eq!( + score(metric, &value, "alpha beta", &TokenConfig::default()), + 1.0 + ); + } + } + for unit in [ + 0x0085, 0x00A0, 0x180E, 0x2007, 0x200B, 0x202F, 0x2060, 0xFEFF, + ] { + assert!(!java_whitespace(unit)); + let separator = char::from_u32(u32::from(unit)).expect("BMP non-delimiter"); + let value = format!("alpha{separator}beta"); + assert_eq!(token_set(&value, 0).len(), 1); + assert_eq!( + score( + TokenMetric::Jaccard, + &value, + "alpha beta", + &TokenConfig::default() + ), + 0.0 + ); + } +} + +#[test] +fn whitespace_sequences_preserve_repetitions_and_punctuation() { + let sequence = whitespace_tokens("alpha beta alpha gamma"); + let expected: Vec> = ["alpha", "beta", "alpha", "gamma"] + .into_iter() + .map(|token| token.encode_utf16().collect()) + .collect(); + assert_eq!(sequence, expected); + assert_eq!(token_set("alpha alpha alpha beta", 0).len(), 2); + assert_eq!(token_set("alpha,beta", 0).len(), 1); + assert_eq!(token_set(" \t\n ", 0).len(), 0); +} + +#[test] +fn ngrams_match_upstream_fixtures_and_preserve_raw_spaces() { + let config = grams(2); + for (left, right, expected) in [ + ("abcd", "abce", 0.5), + ("abc", "abc", 1.0), + ("abc", "xyz", 0.0), + ("ab", "abc", 0.5), + ("a b", "a c", 1.0 / 3.0), + ] { + assert_close(score(TokenMetric::Jaccard, left, right, &config), expected); + } + assert!(token_set("", 2).is_empty()); + assert_eq!( + token_set("ab", 3), + std::collections::BTreeSet::from([vec![97, 98]]) + ); + assert_eq!(token_set("aaaa", 2).len(), 1); + for metric in SET_METRICS { + assert_eq!(score(metric, "ab", "ab", &grams(3)), 1.0); + assert_eq!(score(metric, "", "ab", &grams(3)), 0.0); + } +} + +#[test] +fn ngrams_use_utf16_units_without_normalization() { + assert_eq!( + token_set("😀", 1), + std::collections::BTreeSet::from([vec![0xD83D], vec![0xDE00]]) + ); + assert_eq!( + token_set("😀", 2), + std::collections::BTreeSet::from([vec![0xD83D, 0xDE00]]) + ); + // These emoji share one surrogate, not one Unicode scalar token. + assert_close( + score(TokenMetric::Jaccard, "😀", "😁", &grams(1)), + 1.0 / 3.0, + ); + assert_eq!(score(TokenMetric::Jaccard, "😀", "😁", &grams(2)), 0.0); + assert_eq!( + score( + TokenMetric::Jaccard, + "café", + "cafe\u{0301}", + &TokenConfig::default() + ), + 0.0 + ); + assert_eq!( + score( + TokenMetric::Jaccard, + "北京大学", + "北京大学", + &TokenConfig::default() + ), + 1.0 + ); +} + +#[test] +fn monge_surrogate_roundtrip_matches_java_utf8_replacement() { + assert_eq!(java_utf8_roundtrip(&[0xD83D]), "?"); + assert_eq!(java_utf8_roundtrip(&[0xDE00]), "?"); + assert_eq!(java_utf8_roundtrip(&[0xD83D, 0xDE00]), "😀"); + assert_eq!(java_utf8_roundtrip(&[0xD83D, 0x0061, 0xDE00]), "?a?"); + // Deduplicate the Java Strings before their UTF8 conversion, not afterwards. + assert_eq!(monge_tokens("😀", 1), ["?", "?"]); + assert_eq!(score(TokenMetric::MongeElkan, "😀", "😁", &grams(1)), 1.0); +} + +#[test] +fn monge_is_symmetric_and_repetitions_affect_directed_averages() { + let config = TokenConfig { + inner_metric: MongeInnerMetric::Levenshtein, + ..TokenConfig::default() + }; + assert_close( + score(TokenMetric::MongeElkan, "a a b", "a c", &config), + 7.0 / 12.0, + ); + assert_close( + score(TokenMetric::MongeElkan, "a c", "a a b", &config), + 7.0 / 12.0, + ); + assert_eq!(score(TokenMetric::MongeElkan, "a b", "a c", &config), 0.5); + assert_eq!( + score( + TokenMetric::MongeElkan, + "alpha beta gamma", + "gamma beta alpha", + &config + ), + 1.0 + ); + assert!(score(TokenMetric::MongeElkan, "alpha,beta", "alpha beta", &config) < 1.0); +} + +#[test] +fn monge_accepts_all_five_inner_defaults_and_ngram_mode() { + for inner_metric in [ + MongeInnerMetric::JaroWinkler, + MongeInnerMetric::Jaro, + MongeInnerMetric::Levenshtein, + MongeInnerMetric::NeedlemanWunsch, + MongeInnerMetric::SmithWaterman, + ] { + let config = TokenConfig { + ngram_size: 2, + inner_metric, + }; + assert_eq!(score(TokenMetric::MongeElkan, "abc", "abc", &config), 1.0); + let value = score( + TokenMetric::MongeElkan, + "stephen smyth", + "steven smith", + &config, + ); + assert!((0.0..=1.0).contains(&value)); + assert_eq!( + value, + score( + TokenMetric::MongeElkan, + "stephen smyth", + "steven smith", + &config + ) + ); + } + let jaro = TokenConfig { + inner_metric: MongeInnerMetric::Jaro, + ..TokenConfig::default() + }; + assert_ne!( + score( + TokenMetric::MongeElkan, + "stephen smyth", + "steven smith", + &jaro + ), + score( + TokenMetric::MongeElkan, + "stephen smyth", + "steven smith", + &TokenConfig::default() + ), + ); +} diff --git a/examples/extensions/second-string/src/udf.rs b/examples/extensions/second-string/src/udf.rs new file mode 100644 index 000000000..ee488d47d --- /dev/null +++ b/examples/extensions/second-string/src/udf.rs @@ -0,0 +1,286 @@ +//! Arrow batch execution and the DataFusion scalar interface. +use std::panic::{catch_unwind, AssertUnwindSafe}; +use std::sync::Arc; + +use arrow_schema::{DataType, Field, FieldRef}; +use datafusion_common::arrow::array::{ + Array, ArrayRef, Float64Array, LargeStringArray, StringArray, StringViewArray, +}; +use datafusion_common::{exec_err, plan_err, Result, ScalarValue}; +use datafusion_expr::{ + ColumnarValue, ReturnFieldArgs, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, + Volatility, +}; + +use crate::function::Function; +use crate::options::{self, Options}; +use crate::phonetic; + +#[derive(Debug, PartialEq, Eq, Hash)] +pub struct SimilarityUdf { + function: Function, + configured: bool, + name: &'static str, + signature: Signature, +} + +impl SimilarityUdf { + pub fn new(function: Function, configured: bool) -> Self { + let (name, signature) = if configured { + ( + function.configured_name().unwrap_or(function.name()), + // Preserve numeric literal types: inserted casts obscure literals + // before return_field_from_args can validate the configuration. + Signature::user_defined(Volatility::Immutable), + ) + } else { + ( + function.name(), + Signature::string( + if function.phonetic() { 1 } else { 2 }, + Volatility::Immutable, + ), + ) + }; + Self { + function, + configured, + name, + signature, + } + } + + fn arity(&self) -> usize { + if !self.configured { + if self.function.phonetic() { + 1 + } else { + 2 + } + } else { + match self.function { + Function::MongeElkan | Function::JaroWinkler => 4, + Function::NeedlemanWunsch | Function::SmithWaterman | Function::AffineGap => 5, + _ => 3, + } + } + } + + fn invoke(&self, args: ScalarFunctionArgs) -> Result { + if args.args.len() != self.arity() { + return exec_err!("{} expects {} arguments", self.name, self.arity()); + } + let scalar_only = args + .args + .iter() + .all(|arg| matches!(arg, ColumnarValue::Scalar(_))); + let rows = if scalar_only { 1 } else { args.number_rows }; + // No first-row option extraction is required for an empty batch. + if rows == 0 { + let output: ArrayRef = if self.function.phonetic() { + Arc::new(StringArray::from(Vec::>::new())) + } else { + Arc::new(Float64Array::from(Vec::>::new())) + }; + return Ok(ColumnarValue::Array(output)); + } + let config = if self.configured { + let literals: Result> = args.args[2..] + .iter() + .map(|value| match value { + ColumnarValue::Scalar(value) => Ok(value.clone()), + // Arrow FFI transports scalar values as broadcast arrays. + ColumnarValue::Array(array) if !array.is_empty() => { + ScalarValue::try_from_array(array, 0) + } + _ => exec_err!("{} has an empty option array", self.name), + }) + .collect(); + let literals = literals?; + options::parse(self.function, &literals.iter().collect::>())? + } else { + Options::Default + }; + let input_count = if self.function.phonetic() { 1 } else { 2 }; + let arrays: Result> = args + .args + .into_iter() + .take(input_count) + .map(|arg| arg.into_array(rows)) + .collect(); + let arrays = arrays?; + if arrays.iter().any(|array| array.len() != rows) { + return exec_err!("{} received inconsistent Arrow cardinality", self.name); + } + let left = TextArray::new(&arrays[0])?; + let result: ArrayRef = if self.function.phonetic() { + Arc::new( + (0..rows) + .map(|row| { + left.value(row).map(|text| match self.function { + Function::Soundex => phonetic::soundex(text), + Function::RefinedSoundex => phonetic::refined_soundex(text), + Function::DoubleMetaphone => phonetic::double_metaphone(text), + _ => String::new(), + }) + }) + .collect::(), + ) + } else { + let right = TextArray::new(&arrays[1])?; + Arc::new( + (0..rows) + .map(|row| match (left.value(row), right.value(row)) { + (Some(left), Some(right)) => { + Some(options::score(self.function, left, right, &config)) + } + _ => None, + }) + .collect::(), + ) + }; + if scalar_only { + Ok(ColumnarValue::Scalar(ScalarValue::try_from_array( + &result, 0, + )?)) + } else { + Ok(ColumnarValue::Array(result)) + } + } +} + +impl ScalarUDFImpl for SimilarityUdf { + fn name(&self) -> &str { + self.name + } + fn signature(&self) -> &Signature { + &self.signature + } + fn return_type(&self, arg_types: &[DataType]) -> Result { + if arg_types.len() != self.arity() { + return plan_err!("{} expects {} arguments", self.name, self.arity()); + } + for data_type in arg_types + .iter() + .take(if self.function.phonetic() { 1 } else { 2 }) + { + if !matches!( + data_type, + DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View | DataType::Null + ) { + return plan_err!("{} requires string inputs", self.name); + } + } + Ok(if self.function.phonetic() { + DataType::Utf8 + } else { + DataType::Float64 + }) + } + fn coerce_types(&self, arg_types: &[DataType]) -> Result> { + self.return_type(arg_types)?; + if self.configured { + for (index, data_type) in arg_types.iter().enumerate().skip(2) { + let valid = data_type == &DataType::Null + || match (self.function, index) { + (Function::MongeElkan, 2) => matches!( + data_type, + DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View + ), + (Function::JaroWinkler, 2) => data_type.is_numeric(), + _ => matches!(data_type, DataType::Int32 | DataType::Int64), + }; + if !valid { + return plan_err!("{} has an invalid option type {data_type}", self.name); + } + } + } + Ok(arg_types.to_vec()) + } + fn return_field_from_args(&self, args: ReturnFieldArgs) -> Result { + let types: Vec<_> = args + .arg_fields + .iter() + .map(|field| field.data_type().clone()) + .collect(); + let data_type = self.return_type(&types)?; + if self.configured { + let values: Result> = args + .scalar_arguments + .iter() + .skip(2) + .map(|value| { + value.ok_or_else(|| { + datafusion_common::DataFusionError::Plan(format!( + "{} configuration must be literal", + self.name + )) + }) + }) + .collect(); + options::parse(self.function, &values?)?; + } + Ok(Arc::new(Field::new( + self.name, + data_type, + args.arg_fields.iter().any(|field| field.is_nullable()), + ))) + } + fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { + catch_unwind(AssertUnwindSafe(|| self.invoke(args))) + .unwrap_or_else(|_| exec_err!("{} native kernel panicked", self.name)) + } +} + +enum TextArray<'a> { + Utf8(&'a StringArray), + Large(&'a LargeStringArray), + View(&'a StringViewArray), + Null, +} + +impl<'a> TextArray<'a> { + fn new(array: &'a ArrayRef) -> Result { + match array.data_type() { + DataType::Utf8 => array.as_any().downcast_ref::().map(Self::Utf8), + DataType::LargeUtf8 => array + .as_any() + .downcast_ref::() + .map(Self::Large), + DataType::Utf8View => array + .as_any() + .downcast_ref::() + .map(Self::View), + DataType::Null => Some(Self::Null), + _ => None, + } + .ok_or_else(|| { + datafusion_common::DataFusionError::Execution("expected an Arrow string array".into()) + }) + } + fn value(&self, row: usize) -> Option<&str> { + match self { + Self::Utf8(array) => (!array.is_null(row)).then(|| array.value(row)), + Self::Large(array) => (!array.is_null(row)).then(|| array.value(row)), + Self::View(array) => (!array.is_null(row)).then(|| array.value(row)), + Self::Null => None, + } + } +} + +pub fn functions() -> Vec> { + Function::ALL + .iter() + .flat_map(|&function| { + let mut definitions = vec![Arc::new(ScalarUDF::new_from_impl(SimilarityUdf::new( + function, false, + )))]; + if function.configured_name().is_some() { + definitions.push(Arc::new(ScalarUDF::new_from_impl(SimilarityUdf::new( + function, true, + )))); + } + definitions + }) + .collect() +} diff --git a/examples/extensions/second-string/tests/conftest.py b/examples/extensions/second-string/tests/conftest.py new file mode 100644 index 000000000..2f1b94abc --- /dev/null +++ b/examples/extensions/second-string/tests/conftest.py @@ -0,0 +1,88 @@ +"""Run qualification against an explicitly selected native Sail executable.""" + +from __future__ import annotations + +import os +import signal +import socket +import subprocess +import sys +import sysconfig +import time +from collections.abc import Iterator +from pathlib import Path + +import pytest +from pyspark.sql.connect.session import SparkSession + + +def pytest_addoption(parser: pytest.Parser) -> None: + parser.addoption("--sail-binary", help="Native release Sail executable") + parser.addoption("--execution-mode", default="local", choices=["local", "process-cluster"]) + parser.addoption("--evidence-dir", default="target/second-string-evidence") + + +@pytest.fixture(scope="session") +def spark(request: pytest.FixtureRequest) -> Iterator[SparkSession]: + binary_option = request.config.getoption("--sail-binary") + if not isinstance(binary_option, str): + pytest.fail("Select a native release binary with --sail-binary") + binary = Path(binary_option).resolve() + if not binary.is_file(): + pytest.fail(f"Missing Sail executable: {binary}") + evidence = Path(request.config.getoption("--evidence-dir")) + evidence.mkdir(parents=True, exist_ok=True) + mode = request.config.getoption("--execution-mode") + with socket.socket() as listener: + listener.bind(("127.0.0.1", 0)) + port = listener.getsockname()[1] + env = dict(os.environ) + env["PYTHONHOME"] = sys.base_prefix + env["PYTHONPATH"] = sysconfig.get_paths()["purelib"] + env["DYLD_LIBRARY_PATH"] = str(sysconfig.get_config_var("LIBDIR") or "") + env["SAIL_EXPERIMENTAL_EXTENSIONS"] = "1" + env["SAIL_MODE"] = "local-cluster" if mode == "process-cluster" else "local" + env["TOKIO_WORKER_THREADS"] = "2" + env["RAYON_NUM_THREADS"] = "2" + env["SAIL_CLUSTER__WORKER_INITIAL_COUNT"] = "2" + env["SAIL_CLUSTER__WORKER_MAX_COUNT"] = "2" + # Slots hold streaming tasks; they are separate from the two CPU threads. + env["SAIL_CLUSTER__WORKER_TASK_SLOTS"] = "32" + env["LD_LIBRARY_PATH"] = env["DYLD_LIBRARY_PATH"] + if mode == "process-cluster": + env["SAIL_EXPERIMENTAL_PROCESS_WORKERS"] = "1" + log_path = evidence / f"server-{mode}.log" + session: SparkSession | None = None + with log_path.open("wb") as log: + process = subprocess.Popen( + [str(binary), "spark", "server", "--ip", "127.0.0.1", "--port", str(port)], + env=env, + stdin=subprocess.DEVNULL, + stdout=log, + stderr=subprocess.STDOUT, + start_new_session=True, + ) + try: + session = SparkSession.builder.remote(f"sc://127.0.0.1:{port}").create() + deadline = time.monotonic() + 30 + while True: + if process.poll() is not None: + pytest.fail(f"Sail exited {process.returncode}; see {log_path}") + try: + assert session.sql("SELECT 1 AS ready").collect()[0].ready == 1 + break + except Exception: + if time.monotonic() >= deadline: + raise + time.sleep(0.2) + yield session + finally: + if session is not None: + session.stop() + if process.poll() is None: + os.killpg(process.pid, signal.SIGTERM) + try: + process.wait(timeout=10) + except subprocess.TimeoutExpired: + os.killpg(process.pid, signal.SIGKILL) + process.wait(timeout=10) diff --git a/examples/extensions/second-string/tests/fixtures/oracle.json 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diff --git a/examples/extensions/second-string/tests/test_client.py b/examples/extensions/second-string/tests/test_client.py new file mode 100644 index 000000000..e468b09b5 --- /dev/null +++ b/examples/extensions/second-string/tests/test_client.py @@ -0,0 +1,216 @@ +"""Expression serialization and free option validation; no server is required.""" + +import importlib +import math +import sys +from collections.abc import Callable +from dataclasses import dataclass +from types import ModuleType +from typing import TYPE_CHECKING, cast + +import pytest +from pyspark.sql import Column +from pyspark.sql.connect import functions as F +from pyspark.sql.connect.column import Column as ConnectColumn +from pyspark.sql.connect.expressions import CallFunction +from sail_second_string import ExtensionManifest, extension +from sail_second_string import functions as ss + +if TYPE_CHECKING: + from pyspark.sql.connect.client import SparkConnectClient + + +@dataclass(frozen=True, slots=True) +class ExpressionCase: + column: Column + name: str + arity: int + + +DEFAULT_CASES = [ + ExpressionCase(ss.jaccard("left", "right"), "ss_jaccard", 2), + ExpressionCase(ss.sorensen_dice("left", "right"), "ss_sorensen_dice", 2), + ExpressionCase(ss.overlap_coefficient("left", "right"), "ss_overlap_coefficient", 2), + ExpressionCase(ss.cosine("left", "right"), "ss_cosine", 2), + ExpressionCase(ss.braun_blanquet("left", "right"), "ss_braun_blanquet", 2), + ExpressionCase(ss.monge_elkan("left", "right"), "ss_monge_elkan", 2), + ExpressionCase(ss.levenshtein("left", "right"), "ss_levenshtein", 2), + ExpressionCase(ss.lcs_similarity("left", "right"), "ss_lcs_similarity", 2), + ExpressionCase(ss.jaro("left", "right"), "ss_jaro", 2), + ExpressionCase(ss.jaro_winkler("left", "right"), "ss_jaro_winkler", 2), + ExpressionCase(ss.needleman_wunsch("left", "right"), "ss_needleman_wunsch", 2), + ExpressionCase(ss.smith_waterman("left", "right"), "ss_smith_waterman", 2), + ExpressionCase(ss.affine_gap("left", "right"), "ss_affine_gap", 2), + ExpressionCase(ss.soundex("left"), "ss_soundex", 1), + ExpressionCase(ss.refined_soundex("left"), "ss_refined_soundex", 1), + ExpressionCase(ss.double_metaphone("left"), "ss_double_metaphone", 1), +] + +CONFIGURED_CASES = [ + ExpressionCase(ss.jaccard("left", "right", ngram_size=2), "ss_jaccard_with_options", 3), + ExpressionCase( + ss.sorensen_dice("left", "right", ngram_size=2), "ss_sorensen_dice_with_options", 3 + ), + ExpressionCase( + ss.overlap_coefficient("left", "right", ngram_size=2), + "ss_overlap_coefficient_with_options", + 3, + ), + ExpressionCase(ss.cosine("left", "right", ngram_size=2), "ss_cosine_with_options", 3), + ExpressionCase( + ss.braun_blanquet("left", "right", ngram_size=2), "ss_braun_blanquet_with_options", 3 + ), + ExpressionCase( + ss.monge_elkan("left", "right", inner_metric="levenshtein", ngram_size=2), + "ss_monge_elkan_with_options", + 4, + ), + ExpressionCase( + ss.jaro_winkler("left", "right", prefix_scale=0.2, prefix_cap=6), + "ss_jaro_winkler_with_options", + 4, + ), + ExpressionCase( + ss.needleman_wunsch("left", "right", match_score=2), "ss_needleman_wunsch_with_options", 5 + ), + ExpressionCase( + ss.smith_waterman("left", "right", match_score=3), "ss_smith_waterman_with_options", 5 + ), + ExpressionCase( + ss.affine_gap("left", "right", gap_open_penalty=-3), "ss_affine_gap_with_options", 5 + ), +] + + +@pytest.mark.parametrize("case", DEFAULT_CASES + CONFIGURED_CASES, ids=lambda case: case.name) +def test_helpers_serialize_as_named_native_function_calls(case: ExpressionCase) -> None: + assert isinstance(case.column, ConnectColumn) + assert isinstance(case.column._expr, CallFunction) + plan = case.column._expr.to_plan(cast("SparkConnectClient", None)) + assert plan.WhichOneof("expr_type") == "call_function" + function = plan.call_function + assert function.function_name == case.name + assert len(function.arguments) == case.arity + for argument, name in zip(function.arguments[:2], ("left", "right"), strict=False): + assert argument.unresolved_attribute.unparsed_identifier == name + + +def test_column_inputs_and_literal_values_stay_column_expressions() -> None: + result = ss.levenshtein(F.col("left"), F.lit("spark")) + assert isinstance(result, ConnectColumn) + plan = result._expr.to_plan(cast("SparkConnectClient", None)) + arguments = plan.call_function.arguments + assert arguments[0].unresolved_attribute.unparsed_identifier == "left" + assert arguments[1].literal.string == "spark" + + +def test_custom_integer_options_are_scala_int_literals() -> None: + result = ss.monge_elkan("left", "right", inner_metric="jaro", ngram_size=2) + assert isinstance(result, ConnectColumn) + plan = result._expr.to_plan(cast("SparkConnectClient", None)) + options = plan.call_function.arguments[2:] + assert options[0].literal.string == "jaro" + assert options[1].WhichOneof("expr_type") == "literal" + assert options[1].literal.integer == 2 + + +def test_manifest_is_available_without_loading_native(monkeypatch: pytest.MonkeyPatch) -> None: + def forbidden_import(name: str, package: str | None = None) -> ModuleType: + raise AssertionError(f"unexpected native import: {name}, {package}") + + monkeypatch.setattr(importlib, "import_module", forbidden_import) + assert extension.manifest() == { + "name": "second_string", + "version": "0.1.0", + "api_version": 1, + "datafusion_version": "55.1.0", + "arrow_version": "59.3.0", + "placement": "any", + "relation_types": [], + } + first = ExtensionManifest().to_wire() + first["relation_types"] = ["mutated"] + assert extension.manifest()["relation_types"] == [] + + +def test_binding_imports_native_only_when_requested(monkeypatch: pytest.MonkeyPatch) -> None: + class FakeBinding: + def __init__(self, session_id: str) -> None: + self.session_id = session_id + + def scalar_udfs(self) -> list[object]: + return [] + + class FakeNativeModule(ModuleType): + BoundSecondString = FakeBinding + + native = FakeNativeModule("sail_second_string._native") + monkeypatch.setitem(sys.modules, "sail_second_string._native", native) + binding = extension.bind("session-42") + assert binding.session_id == "session-42" + assert binding.scalar_udfs() == [] + + +@dataclass(frozen=True, slots=True) +class InvalidCase: + helper: Callable[..., Column] + options: dict[str, object] + error: type[Exception] = ValueError + + +INVALID_CASES = [ + InvalidCase(ss.jaccard, {"ngram_size": -1}), + InvalidCase(ss.cosine, {"ngram_size": 2**31}), + InvalidCase(ss.sorensen_dice, {"ngram_size": True}, TypeError), + InvalidCase(ss.overlap_coefficient, {"ngram_size": 1.0}, TypeError), + InvalidCase(ss.monge_elkan, {"inner_metric": "lcs_similarity"}), + InvalidCase(ss.monge_elkan, {"inner_metric": "JARO"}), + InvalidCase(ss.jaro_winkler, {"prefix_scale": 0.0}), + InvalidCase(ss.jaro_winkler, {"prefix_scale": 0.251}), + InvalidCase(ss.jaro_winkler, {"prefix_scale": math.inf}), + InvalidCase(ss.jaro_winkler, {"prefix_scale": True}, TypeError), + InvalidCase(ss.jaro_winkler, {"prefix_cap": 0}), + InvalidCase(ss.jaro_winkler, {"prefix_cap": 11}), + InvalidCase(ss.jaro_winkler, {"prefix_cap": True}, TypeError), + InvalidCase(ss.needleman_wunsch, {"match_score": 0}), + InvalidCase(ss.needleman_wunsch, {"mismatch_penalty": 0}), + InvalidCase(ss.needleman_wunsch, {"gap_penalty": 0}), + InvalidCase(ss.needleman_wunsch, {"match_score": 2**31}), + InvalidCase(ss.smith_waterman, {"match_score": -1}), + InvalidCase(ss.smith_waterman, {"mismatch_penalty": 1}), + InvalidCase(ss.smith_waterman, {"gap_penalty": 1}), + InvalidCase(ss.affine_gap, {"mismatch_penalty": 0}), + InvalidCase(ss.affine_gap, {"gap_open_penalty": 0}), + InvalidCase(ss.affine_gap, {"gap_extend_penalty": 0}), + InvalidCase(ss.affine_gap, {"gap_extend_penalty": -(2**31) - 1}), +] + + +@pytest.mark.parametrize("case", INVALID_CASES) +def test_invalid_options_fail_before_a_server_call(case: InvalidCase) -> None: + with pytest.raises(case.error): + case.helper("left", "right", **case.options) + + +def test_upstream_zero_local_penalties_and_nan_prefix_remain_admitted() -> None: + assert isinstance(ss.smith_waterman("left", "right", mismatch_penalty=0, gap_penalty=0), Column) + assert isinstance(ss.jaro_winkler("left", "right", prefix_scale=math.nan), Column) + assert isinstance(ss.affine_gap("left", "right", mismatch_penalty=-(2**31)), Column) + + +def test_scala_style_aliases_use_the_same_helpers() -> None: + aliases = [ + (ss.sorensenDice, ss.sorensen_dice), + (ss.overlapCoefficient, ss.overlap_coefficient), + (ss.braunBlanquet, ss.braun_blanquet), + (ss.mongeElkan, ss.monge_elkan), + (ss.lcsSimilarity, ss.lcs_similarity), + (ss.jaroWinkler, ss.jaro_winkler), + (ss.needlemanWunsch, ss.needleman_wunsch), + (ss.smithWaterman, ss.smith_waterman), + (ss.affineGap, ss.affine_gap), + (ss.refinedSoundex, ss.refined_soundex), + (ss.doubleMetaphone, ss.double_metaphone), + ] + for alias, helper in aliases: + assert alias is helper diff --git a/examples/extensions/second-string/tests/test_oracle.py b/examples/extensions/second-string/tests/test_oracle.py new file mode 100644 index 000000000..d7962db6c --- /dev/null +++ b/examples/extensions/second-string/tests/test_oracle.py @@ -0,0 +1,207 @@ +"""Compare shuffled Spark Connect batches against the pinned compiled Scala oracle.""" + +import json +import math +from dataclasses import dataclass +from pathlib import Path + +from pyspark.sql import Column +from pyspark.sql.connect import functions as F +from pyspark.sql.connect.session import SparkSession + +REFERENCE_COMMIT = "a35db39fa8e9b65db2d201a45b86d11a6ca34b98" +ABSOLUTE_TOLERANCE = 1e-12 +DEFAULT_FUNCTIONS = frozenset( + ( + "ss_jaccard", + "ss_cosine", + "ss_sorensen_dice", + "ss_overlap_coefficient", + "ss_braun_blanquet", + "ss_monge_elkan", + "ss_levenshtein", + "ss_lcs_similarity", + "ss_jaro", + "ss_jaro_winkler", + "ss_needleman_wunsch", + "ss_smith_waterman", + "ss_affine_gap", + "ss_soundex", + "ss_refined_soundex", + "ss_double_metaphone", + ) +) +UNARY_FUNCTIONS = frozenset(("ss_soundex", "ss_refined_soundex", "ss_double_metaphone")) +type Parameter = int | float | str +type Expected = float | str + + +@dataclass(frozen=True, slots=True) +class Pair: + left: str + right: str | None + + +@dataclass(frozen=True, slots=True) +class Definition: + function: str + parameters: tuple[Parameter, ...] + + @property + def sql_name(self) -> str: + return f"{self.function}_with_options" if self.parameters else self.function + + +@dataclass(frozen=True, slots=True) +class Case: + id: str + definition: Definition + pair: Pair + expected: Expected + + +@dataclass(frozen=True, slots=True) +class Oracle: + cases: tuple[Case, ...] + + +def record(value: object) -> dict[str, object]: + if not isinstance(value, dict) or any(not isinstance(key, str) for key in value): + raise ValueError("Expected a JSON object with string keys") + return dict(value) + + +def sequence(value: object) -> list[object]: + if not isinstance(value, list): + raise TypeError("Expected a JSON array") + return list(value) + + +def text(value: object) -> str: + if not isinstance(value, str): + raise TypeError("Expected a string") + return value + + +def integer(value: object) -> int: + if type(value) is not int: + raise ValueError("Expected an integer") + return value + + +def parameter(value: object) -> Parameter: + if isinstance(value, str): + return value + if type(value) is int: + return value + if isinstance(value, float) and math.isfinite(value): + return value + raise ValueError("Expected a finite numeric or string option") + + +def expected(value: object, unary: bool) -> Expected: + if unary: + return text(value) + if not isinstance(value, (float, int)) or isinstance(value, bool): + raise TypeError("Expected a numeric reference answer") + result = float(value) + if not math.isfinite(result): + raise ValueError("Reference answer is not finite") + return result + + +def load_oracle(path: Path) -> Oracle: + root = record(json.loads(path.read_text(encoding="utf-8"))) + reference = record(root["reference"]) + if reference["commit"] != REFERENCE_COMMIT: + raise ValueError("Fixture is not from the pinned Scala source") + if reference["numeric_absolute_tolerance"] != ABSOLUTE_TOLERANCE: + raise ValueError("Fixture declares a different numerical comparison") + pairs: list[Pair] = [] + for item in sequence(root["pairs"]): + pair_record = record(item) + pairs.append( + Pair( + text(pair_record["left"]), + None if pair_record["right"] is None else text(pair_record["right"]), + ) + ) + if integer(reference["pair_count"]) != len(pairs): + raise ValueError("Fixture pair count differs") + cases: list[Case] = [] + for item in sequence(root["cases"]): + case = record(item) + function = text(case["function"]) + if function not in DEFAULT_FUNCTIONS: + raise ValueError(f"Unknown oracle function: {function}") + index = integer(case["pair"]) + if not 0 <= index < len(pairs): + raise ValueError("Oracle case names an unknown pair") + unary = function in UNARY_FUNCTIONS + params = tuple(parameter(value) for value in sequence(case["parameters"])) + if unary and params: + raise ValueError("Unary oracle function has unexpected options") + pair = pairs[index] + if not unary and pair.right is None: + raise ValueError("Binary non-null oracle case has no right input") + cases.append( + Case( + text(case["id"]), + Definition(function, params), + pair, + expected(case["expected"], unary), + ) + ) + if integer(reference["case_count"]) != len(cases) or len({case.id for case in cases}) != len( + cases + ): + raise ValueError("Fixture case count or unique IDs differ") + definitions = {case.definition for case in cases} + defaults = {definition.function for definition in definitions if not definition.parameters} + if defaults != DEFAULT_FUNCTIONS or len(definitions) != 55 or len(cases) != 7296: + raise ValueError( + "Fixture does not cover all sixteen defaults and thirty-nine option groups" + ) + return Oracle(tuple(cases)) + + +def literal(value: Parameter) -> Column: + return F.lit(value) + + +def test_all_compiled_scala_answers_through_shuffled_native_batches(spark: SparkSession) -> None: + oracle = load_oracle(Path(__file__).parent / "fixtures/oracle.json") + groups: dict[Definition, list[Case]] = {} + for case in oracle.cases: + groups.setdefault(case.definition, []).append(case) + checked: set[str] = set() + for definition, cases in groups.items(): + batch = spark.createDataFrame( + [(case.id, case.pair.left, case.pair.right) for case in cases], + "case_id STRING, left STRING, right STRING", + ).repartition(4, "case_id") + inputs = [F.col("left")] + if definition.function not in UNARY_FUNCTIONS: + inputs.append(F.col("right")) + inputs.extend(literal(value) for value in definition.parameters) + rows = batch.select( + "case_id", F.call_function(definition.sql_name, *inputs).alias("actual") + ).collect() + answers = {case.id: case.expected for case in cases} + ids = [text(row["case_id"]) for row in rows] + assert len(rows) == len(cases), f"Wrong row count for {definition}" + assert len(set(ids)) == len(ids), f"Repeated result ID for {definition}" + assert set(ids) == answers.keys(), f"Missing or extra result ID for {definition}" + for row, case_id in zip(rows, ids, strict=True): + reference_answer = answers[case_id] + actual = row["actual"] + if isinstance(reference_answer, str): + assert actual == reference_answer, f"{case_id}: {definition}, {actual!r}" + else: + assert type(actual) is float and math.isfinite(actual), f"{case_id}: {actual!r}" + assert abs(actual - reference_answer) <= ABSOLUTE_TOLERANCE, ( + f"{case_id}: {definition}, actual={actual!r}, Scala={reference_answer!r}" + ) + assert checked.isdisjoint(ids) + checked.update(ids) + assert len(checked) == len(oracle.cases) diff --git a/examples/extensions/second-string/tests/test_sail.py b/examples/extensions/second-string/tests/test_sail.py new file mode 100644 index 000000000..90de8c0e8 --- /dev/null +++ b/examples/extensions/second-string/tests/test_sail.py @@ -0,0 +1,182 @@ +"""Live native tests using a root-provided external Spark Connect session fixture.""" + +from dataclasses import dataclass + +import pytest +from pyspark.sql.connect import functions as F +from pyspark.sql.connect.session import SparkSession +from sail_second_string import functions as ss + + +@dataclass(frozen=True, slots=True) +class SqlCase: + expression: str + expected: float | str + + +DEFAULT_CASES = [ + SqlCase("ss_jaccard('a b', 'b c')", 1.0 / 3.0), + SqlCase("ss_sorensen_dice('a b', 'b c')", 0.5), + SqlCase("ss_overlap_coefficient('a b', 'b c')", 0.5), + SqlCase("ss_cosine('a b', 'b c')", 0.5), + SqlCase("ss_braun_blanquet('a b', 'b c')", 0.5), + SqlCase("ss_monge_elkan('same', 'same')", 1.0), + SqlCase("ss_levenshtein('kitten', 'sitting')", 1.0 - 3.0 / 7.0), + SqlCase("ss_lcs_similarity('abcdef', 'ace')", 0.5), + SqlCase("ss_jaro('martha', 'marhta')", 17.0 / 18.0), + SqlCase("ss_jaro_winkler('martha', 'marhta')", 0.9611111111111111), + SqlCase("ss_needleman_wunsch('aaaa', 'aaab')", 0.75), + SqlCase("ss_smith_waterman('abc', 'xabcx')", 1.0), + SqlCase("ss_affine_gap('abcdef', 'abc')", 1.0 / 6.0), + SqlCase("ss_soundex('Robert')", "R163"), + SqlCase("ss_refined_soundex('Robert')", "R01093"), + SqlCase("ss_double_metaphone('testing')", "TSTN"), +] + +CONFIGURED_SQL_CASES = [ + SqlCase("ss_jaccard_with_options('abc', 'abd', 2)", 1.0 / 3.0), + SqlCase("ss_sorensen_dice_with_options('abc', 'abd', 2)", 0.5), + SqlCase("ss_overlap_coefficient_with_options('abc', 'abd', 2)", 0.5), + SqlCase("ss_cosine_with_options('abc', 'abd', 2)", 0.5), + SqlCase("ss_braun_blanquet_with_options('abc', 'abd', 2)", 0.5), + SqlCase("ss_monge_elkan_with_options('ab ab', 'ab ac', 'levenshtein', 0)", 0.875), + SqlCase("ss_jaro_winkler_with_options('martha', 'marhta', 0.2, 6)", 44.0 / 45.0), + SqlCase("ss_needleman_wunsch_with_options('a', 'ab', 2, -2, -1)", 0.75), + SqlCase("ss_smith_waterman_with_options('ab', 'axxb', 3, -1, -2)", 0.5), + SqlCase("ss_affine_gap_with_options('aa', 'ab', -2, -2, -1)", 0.0), +] + + +@pytest.mark.parametrize("case", DEFAULT_CASES) +def test_original_sql_names_use_upstream_defaults(spark: SparkSession, case: SqlCase) -> None: + actual = spark.sql(f"SELECT {case.expression} AS result").collect()[0]["result"] + if isinstance(case.expected, float): + assert actual == pytest.approx(case.expected, abs=1e-12) + else: + assert actual == case.expected + + +@pytest.mark.parametrize("case", CONFIGURED_SQL_CASES) +def test_configured_sql_accepts_ordinary_numeric_literals( + spark: SparkSession, case: SqlCase +) -> None: + actual = spark.sql(f"SELECT {case.expression} AS result").collect()[0]["result"] + assert actual == pytest.approx(case.expected, abs=1e-12) + + +@pytest.mark.parametrize("case", DEFAULT_CASES) +def test_all_native_defaults_propagate_sql_nulls(spark: SparkSession, case: SqlCase) -> None: + name = case.expression.split("(", 1)[0] + arguments = ( + "CAST(NULL AS STRING)" + if "soundex" in name or "metaphone" in name + else "CAST(NULL AS STRING), 'text'" + ) + assert spark.sql(f"SELECT {name}({arguments}) AS result").collect()[0]["result"] is None + + +def test_configurable_python_helpers_and_utf16_scores(spark: SparkSession) -> None: + row = ( + spark.range(1) + .select( + ss.jaccard(F.lit("abc"), F.lit("abd"), ngram_size=2).alias("jaccard"), + ss.sorensen_dice(F.lit("abc"), F.lit("abd"), ngram_size=2).alias("dice"), + ss.overlap_coefficient(F.lit("abc"), F.lit("abd"), ngram_size=2).alias("overlap"), + ss.cosine(F.lit("abc"), F.lit("abd"), ngram_size=2).alias("cosine"), + ss.braun_blanquet(F.lit("abc"), F.lit("abd"), ngram_size=2).alias("braun"), + ss.monge_elkan(F.lit("ab ab"), F.lit("ab ac"), inner_metric="levenshtein").alias( + "monge" + ), + ss.jaro_winkler(F.lit("martha"), F.lit("marhta"), prefix_scale=0.2, prefix_cap=6).alias( + "winkler" + ), + ss.needleman_wunsch(F.lit("a"), F.lit("ab"), match_score=2, mismatch_penalty=-2).alias( + "global" + ), + ss.smith_waterman(F.lit("ab"), F.lit("axxb"), match_score=3, gap_penalty=-2).alias( + "local" + ), + ss.affine_gap(F.lit("aa"), F.lit("ab"), mismatch_penalty=-2).alias("affine"), + ss.levenshtein(F.lit("😀"), F.lit("😁")).alias("utf16"), + ) + .collect()[0] + ) + expected = { + "jaccard": 1.0 / 3.0, + "dice": 0.5, + "overlap": 0.5, + "cosine": 0.5, + "braun": 0.5, + "monge": 0.875, + "winkler": 44.0 / 45.0, + "global": 0.75, + "local": 0.5, + "affine": 0.0, + "utf16": 0.5, + } + for name, value in expected.items(): + assert row[name] == pytest.approx(value, abs=1e-12) + + +def test_native_helpers_after_join_and_shuffle(spark: SparkSession) -> None: + left = ( + spark.range(64) + .select((F.col("id") % 4).alias("key"), F.lit("martha").alias("left")) + .repartition(4, "key") + ) + right = ( + spark.range(4) + .select(F.col("id").alias("key"), F.lit("marhta").alias("right")) + .repartition(4, "key") + ) + rows = left.join(right, "key").select(ss.jaro_winkler("left", "right").alias("score")).collect() + assert len(rows) == 64 + assert all(row["score"] == pytest.approx(0.9611111111111111, abs=1e-12) for row in rows) + + +def test_explain_has_native_function_without_python_udf( + spark: SparkSession, capsys: pytest.CaptureFixture[str] +) -> None: + frame = spark.createDataFrame( + [("martha", "marhta"), ("dwayne", "duane")], "left STRING, right STRING" + ).select(ss.jaro_winkler("left", "right")) + frame.explain(extended=True) + explanation = capsys.readouterr().out.lower() + assert "ss_jaro_winkler" in explanation + for python_node in ("pythonudf", "batchevalpython", "arrowevalpython", "evalpython"): + assert python_node not in explanation + + +@pytest.mark.parametrize( + "expression", + ["ss_jaccard('a')", "ss_soundex('a', 'b')", "ss_jaro_winkler('a', 'b', 0.1)"], +) +def test_original_sql_arity_is_not_changed(spark: SparkSession, expression: str) -> None: + with pytest.raises(Exception, match="(?i)(argument|arity|signature|expects)"): + spark.sql(f"SELECT {expression}").collect() + + +def test_configurable_options_must_be_literals(spark: SparkSession) -> None: + query = """ + SELECT ss_jaccard_with_options(left, right, n) + FROM VALUES ('abc', 'abd', 1), ('abc', 'abd', 2) + AS t(left, right, n) + """ + with pytest.raises(Exception, match="(?i)literal"): + spark.sql(query).collect() + + +@pytest.mark.parametrize( + "expression", + [ + "ss_jaccard_with_options('a', 'a', -1)", + "ss_jaro_winkler_with_options('a', 'a', 0.0, 4)", + "ss_needleman_wunsch_with_options('a', 'a', 1, 0, -1)", + "ss_smith_waterman_with_options('a', 'a', 2, 1, -1)", + "ss_affine_gap_with_options('a', 'a', -1, 0, -1)", + "ss_monge_elkan_with_options('a', 'a', 'affine_gap', 0)", + ], +) +def test_sql_option_domains_are_validated(spark: SparkSession, expression: str) -> None: + with pytest.raises(Exception, match="(?i)(ngram|prefix|scoring|penalt|inner metric)"): + spark.sql(f"SELECT {expression}").collect()