From 3f0e1986fbefbe930727c918798ff2d99b0b3169 Mon Sep 17 00:00:00 2001 From: Matthew Powers Date: Sat, 10 Feb 2024 09:29:18 -0500 Subject: [PATCH] spark connect attempt 2 --- benchmarks/create_benchmark_df.py | 1 + benchmarks/visualize_benchmarks.py | 1 + poetry.lock | 1740 ++++++++++++++------------- pyproject.toml | 6 +- quinn/extensions/column_ext.py | 37 +- quinn/transformations.py | 2 +- tests/extensions/test_column_ext.py | 14 +- tests/spark.py | 2 +- 8 files changed, 912 insertions(+), 891 deletions(-) diff --git a/benchmarks/create_benchmark_df.py b/benchmarks/create_benchmark_df.py index ea45782c..cf123e97 100644 --- a/benchmarks/create_benchmark_df.py +++ b/benchmarks/create_benchmark_df.py @@ -45,6 +45,7 @@ def save_benchmark_df( builder = ( SparkSession.builder.appName("MyApp") + .remote("sc://localhost") .config("spark.executor.memory", "20G") .config("spark.driver.memory", "25G") .config("spark.sql.shuffle.partitions", "2") diff --git a/benchmarks/visualize_benchmarks.py b/benchmarks/visualize_benchmarks.py index 7a27dec1..b13e65b2 100644 --- a/benchmarks/visualize_benchmarks.py +++ b/benchmarks/visualize_benchmarks.py @@ -154,6 +154,7 @@ def get_benchmark_date(benchmark_path: str) -> str: if __name__ == "__main__": spark = ( SparkSession.builder.appName("MyApp") # type: ignore # noqa: PGH003 + .remote("sc://localhost") .config("spark.executor.memory", "10G") .config("spark.driver.memory", "25G") .config("spark.sql.shuffle.partitions", "2") diff --git a/poetry.lock b/poetry.lock index d55053b3..9fb0f207 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,58 +1,27 @@ -# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. - -[[package]] -name = "aiofiles" -version = "22.1.0" -description = "File support for asyncio." -category = "dev" -optional = false -python-versions = ">=3.7,<4.0" -files = [ - {file = "aiofiles-22.1.0-py3-none-any.whl", hash = "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad"}, - {file = "aiofiles-22.1.0.tar.gz", hash = "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6"}, -] - -[[package]] -name = "aiosqlite" -version = "0.19.0" -description = "asyncio bridge to the standard sqlite3 module" -category = "dev" -optional = false -python-versions = ">=3.7" -files = [ - {file = "aiosqlite-0.19.0-py3-none-any.whl", hash = "sha256:edba222e03453e094a3ce605db1b970c4b3376264e56f32e2a4959f948d66a96"}, - {file = "aiosqlite-0.19.0.tar.gz", hash = "sha256:95ee77b91c8d2808bd08a59fbebf66270e9090c3d92ffbf260dc0db0b979577d"}, -] - -[package.dependencies] -typing_extensions = {version = ">=4.0", markers = "python_version < \"3.8\""} - -[package.extras] -dev = ["aiounittest (==1.4.1)", "attribution (==1.6.2)", "black (==23.3.0)", "coverage[toml] (==7.2.3)", "flake8 (==5.0.4)", "flake8-bugbear (==23.3.12)", "flit (==3.7.1)", "mypy (==1.2.0)", "ufmt (==2.1.0)", "usort (==1.0.6)"] -docs = ["sphinx (==6.1.3)", "sphinx-mdinclude (==0.5.3)"] +# This file is automatically @generated by Poetry and should not be changed by hand. 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"jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [metadata] lock-version = "2.0" -python-versions = ">=3.7,<4.0" -content-hash = "ac991159dc247652a6701ba66b38ab508fb938345d2102d83ce0da9d141a7ff8" +python-versions = ">=3.8,<4.0" +content-hash = "d360b8bfb03cb01b759cb2d605eced99de96edd8bce4a8c408374d8b8f676e7c" diff --git a/pyproject.toml b/pyproject.toml index f5b8549a..b7feb4d6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ build-backend = "poetry.masonry.api" ########################################################################### [tool.poetry.dependencies] -python = ">=3.7,<4.0" +python = ">=3.8,<4.0" ########################################################################### @@ -37,14 +37,14 @@ optional = true optional = true [tool.poetry.group.development.dependencies] -pyspark = ">2" +pyspark = "^3.5.0" semver = "^3" [tool.poetry.group.testing.dependencies] pytest = "^7" chispa = "0.9.4" pytest-describe = "^2" -pyspark = ">2" +pyspark = "^3.5.0" semver = "^3" [tool.poetry.group.linting.dependencies] diff --git a/quinn/extensions/column_ext.py b/quinn/extensions/column_ext.py index f44ea006..434ca516 100644 --- a/quinn/extensions/column_ext.py +++ b/quinn/extensions/column_ext.py @@ -6,7 +6,7 @@ from pyspark.sql.functions import lit, trim, when -def isFalsy(self: Column) -> Column: +def isFalsy(col: Column) -> Column: """Returns a Column indicating whether all values in the Column are False or NULL (**falsy**). Each element in the resulting column is True if all the elements in the @@ -14,47 +14,47 @@ def isFalsy(self: Column) -> Column: performing a bitwise or of the ``isNull`` condition and a literal False value and then wrapping the result in a **when** statement. - :param self: Column object + :param col: Column object :returns: Column object :rtype: Column """ - return when(self.isNull() | (self == lit(False)), True).otherwise(False) + return when(col.isNull() | (col == lit(False)), True).otherwise(False) -def isTruthy(self: Column) -> Column: +def isTruthy(col: Column) -> Column: """Calculates a boolean expression that is the opposite of isFalsy for the given ``Column`` self. - :param Column self: The ``Column`` to calculate the opposite of isFalsy for. + :param Column col: The ``Column`` to calculate the opposite of isFalsy for. :returns: A ``Column`` with the results of the calculation. :rtype: Column """ - return ~(self.isFalsy()) + return ~(col.isFalsy()) -def isFalse(self: Column) -> Column: +def isFalse(col: Column) -> Column: """Function checks if the column is equal to False and returns the column. - :param self: Column + :param col: Column :return: Column :rtype: Column """ - return self == lit(False) + return col == lit(False) -def isTrue(self: Column) -> Column: +def isTrue(col: Column) -> Column: """Function takes a column of type Column as an argument and returns a column of type Column. It evaluates whether each element in the column argument is equal to True, and if so will return True, otherwise False. - :param self: Column object + :param col: Column object :returns: Column object :rtype: Column """ - return self == lit(True) + return col == lit(True) -def isNullOrBlank(self: Column) -> Column: +def isNullOrBlank(col: Column) -> Column: r"""Returns a Boolean value which expresses whether a given column is ``null`` or contains only blank characters. :param \*\*self: The :class:`Column` to check. @@ -63,17 +63,17 @@ def isNullOrBlank(self: Column) -> Column: blank characters, or ``False`` otherwise. :rtype: Column """ - return (self.isNull()) | (trim(self) == "") + return (col.isNull()) | (trim(col) == "") -def isNotIn(self: Column, _list: list[Any]) -> Column: +def isNotIn(col: Column, _list: list[Any]) -> Column: """To see if a value is not in a list of values. - :param self: Column object + :param col: Column object :_list: list[Any] :rtype: Column """ - return ~(self.isin(_list)) + return ~(col.isin(_list)) def nullBetween(self: Column, lower: Column, upper: Column) -> Column: @@ -96,7 +96,8 @@ def nullBetween(self: Column, lower: Column, upper: Column) -> Column: ) -Column.isFalsy = isFalsy +# Column.isFalsy = isFalsy +Column.isFalsy = getattr(Column, "isFalsy", isFalsy) Column.isTruthy = isTruthy Column.isFalse = isFalse Column.isTrue = isTrue diff --git a/quinn/transformations.py b/quinn/transformations.py index f377e863..c0fedf04 100644 --- a/quinn/transformations.py +++ b/quinn/transformations.py @@ -247,7 +247,7 @@ def fix_nullability(field: StructField, result_dict: dict) -> None: fix_nullability(field, result_dict) if not hasattr(SparkSession, "getActiveSession"): # spark 2.4 - spark = SparkSession.builder.getOrCreate() + spark = SparkSession.builder.remote("sc://localhost").getOrCreate() else: spark = SparkSession.getActiveSession() spark = spark if spark is not None else SparkSession.builder.getOrCreate() diff --git a/tests/extensions/test_column_ext.py b/tests/extensions/test_column_ext.py index 267e8d86..384362fe 100644 --- a/tests/extensions/test_column_ext.py +++ b/tests/extensions/test_column_ext.py @@ -16,7 +16,7 @@ def test_is_falsy(): ("expected", BooleanType(), True), ], ) - actual_df = source_df.withColumn("is_has_stuff_falsy", F.col("has_stuff").isFalsy()) + actual_df = source_df.withColumn("is_has_stuff_falsy", isFalsy(F.col("has_stuff"))) chispa.assert_column_equality(actual_df, "is_has_stuff_falsy", "expected") @@ -27,7 +27,7 @@ def test_is_truthy(): [("has_stuff", BooleanType(), True), ("expected", BooleanType(), True)], ) actual_df = source_df.withColumn( - "is_has_stuff_truthy", F.col("has_stuff").isTruthy() + "is_has_stuff_truthy", isTruthy(F.col("has_stuff")) ) chispa.assert_column_equality(actual_df, "is_has_stuff_truthy", "expected") @@ -38,7 +38,7 @@ def test_is_false(): [(True, False), (False, True), (None, None)], [("has_stuff", BooleanType(), True), ("expected", BooleanType(), True)], ) - actual_df = source_df.withColumn("is_has_stuff_false", F.col("has_stuff").isFalse()) + actual_df = source_df.withColumn("is_has_stuff_false", isFalse(F.col("has_stuff"))) chispa.assert_column_equality(actual_df, "is_has_stuff_false", "expected") @@ -48,7 +48,7 @@ def test_is_true(): [(True, True), (False, False), (None, None)], [("has_stuff", BooleanType(), True), ("expected", BooleanType(), True)], ) - actual_df = source_df.withColumn("is_stuff_true", F.col("has_stuff").isTrue()) + actual_df = source_df.withColumn("is_stuff_true", isTrue(F.col("has_stuff"))) chispa.assert_column_equality(actual_df, "is_stuff_true", "expected") @@ -67,7 +67,7 @@ def test_is_null_or_blank(): ], ) actual_df = source_df.withColumn( - "is_blah_null_or_blank", F.col("blah").isNullOrBlank() + "is_blah_null_or_blank", isNullOrBlank(F.col("blah")) ) chispa.assert_column_equality(actual_df, "is_blah_null_or_blank", "expected") @@ -87,7 +87,7 @@ def test_is_not_in(): ) bobs_hobbies = ["dancing", "snowboarding"] actual_df = source_df.withColumn( - "is_not_bobs_hobby", F.col("fun_thing").isNotIn(bobs_hobbies) + "is_not_bobs_hobby", isNotIn(F.col("fun_thing"), bobs_hobbies) ) chispa.assert_column_equality(actual_df, "is_not_bobs_hobby", "expected") @@ -113,6 +113,6 @@ def test_null_between(): ], ) actual_df = source_df.withColumn( - "is_between", F.col("age").nullBetween(F.col("lower_age"), F.col("upper_age")) + "is_between", nullBetween(F.col("age"), (F.col("lower_age"), F.col("upper_age"))) ) chispa.assert_column_equality(actual_df, "is_between", "expected") diff --git a/tests/spark.py b/tests/spark.py index c3bd2944..809aa52f 100644 --- a/tests/spark.py +++ b/tests/spark.py @@ -1,3 +1,3 @@ from pyspark.sql import SparkSession -spark = SparkSession.builder.master("local").appName("chispa").getOrCreate() +spark = SparkSession.builder.remote("sc://localhost").appName("chispa").getOrCreate()