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executable file
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#!/usr/bin/env python3
#
# 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
#
# 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.
import importlib.util
import glob
import os
import sys
import ctypes
from setuptools import setup
from setuptools.command.install import install
from shutil import copyfile, copytree, rmtree
try:
exec(open("pyspark/version.py").read())
except IOError:
print(
"Failed to load PySpark version file for packaging. You must be in Spark's python dir.",
file=sys.stderr,
)
sys.exit(-1)
try:
spec = importlib.util.spec_from_file_location("install", "pyspark/install.py")
install_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(install_module)
except IOError:
print(
"Failed to load the installing module (pyspark/install.py) which had to be "
"packaged together.",
file=sys.stderr,
)
sys.exit(-1)
VERSION = __version__ # noqa
# A temporary path so we can access above the Python project root and fetch scripts and jars we need
TEMP_PATH = "deps"
SPARK_HOME = os.path.abspath("../")
# Provide guidance about how to use setup.py
incorrect_invocation_message = """
If you are installing pyspark from spark source, you must first build Spark and
run sdist.
To build Spark with maven you can run:
./build/mvn -DskipTests clean package
Building the source dist is done in the Python directory:
cd python
python setup.py sdist
pip install dist/*.tar.gz"""
# Figure out where the jars are we need to package with PySpark.
JARS_PATH = glob.glob(os.path.join(SPARK_HOME, "assembly/target/scala-*/jars/"))
if len(JARS_PATH) == 1:
JARS_PATH = JARS_PATH[0]
elif os.path.isfile("../RELEASE") and len(glob.glob("../jars/spark*core*.jar")) == 1:
# Release mode puts the jars in a jars directory
JARS_PATH = os.path.join(SPARK_HOME, "jars")
elif len(JARS_PATH) > 1:
print(
"Assembly jars exist for multiple scalas ({0}), please cleanup assembly/target".format(
JARS_PATH
),
file=sys.stderr,
)
sys.exit(-1)
elif len(JARS_PATH) == 0 and not os.path.exists(TEMP_PATH):
print(incorrect_invocation_message, file=sys.stderr)
sys.exit(-1)
EXAMPLES_PATH = os.path.join(SPARK_HOME, "examples/src/main/python")
SCRIPTS_PATH = os.path.join(SPARK_HOME, "bin")
USER_SCRIPTS_PATH = os.path.join(SPARK_HOME, "sbin")
DATA_PATH = os.path.join(SPARK_HOME, "data")
LICENSES_PATH = os.path.join(SPARK_HOME, "licenses")
SCRIPTS_TARGET = os.path.join(TEMP_PATH, "bin")
USER_SCRIPTS_TARGET = os.path.join(TEMP_PATH, "sbin")
JARS_TARGET = os.path.join(TEMP_PATH, "jars")
EXAMPLES_TARGET = os.path.join(TEMP_PATH, "examples")
DATA_TARGET = os.path.join(TEMP_PATH, "data")
LICENSES_TARGET = os.path.join(TEMP_PATH, "licenses")
# Check and see if we are under the spark path in which case we need to build the symlink farm.
# This is important because we only want to build the symlink farm while under Spark otherwise we
# want to use the symlink farm. And if the symlink farm exists under while under Spark (e.g. a
# partially built sdist) we should error and have the user sort it out.
in_spark = os.path.isfile("../core/src/main/scala/org/apache/spark/SparkContext.scala") or (
os.path.isfile("../RELEASE") and len(glob.glob("../jars/spark*core*.jar")) == 1
)
def _supports_symlinks():
"""Check if the system supports symlinks (e.g. *nix) or not."""
return hasattr(os, "symlink") and (
(not hasattr(ctypes, "windll")) # Non-Windows
or (
# In some Windows, `os.symlink` works but only for admins.
hasattr(ctypes.windll, "shell32")
and hasattr(ctypes.windll.shell32, "IsUserAnAdmin")
and bool(ctypes.windll.shell32.IsUserAnAdmin())
)
)
if in_spark:
# Construct links for setup
try:
os.mkdir(TEMP_PATH)
except BaseException:
print(
"Temp path for symlink to parent already exists {0}".format(TEMP_PATH), file=sys.stderr
)
sys.exit(-1)
# If you are changing the versions here, please also change ./python/pyspark/sql/pandas/utils.py
# For Arrow, you should also check ./pom.xml and ensure there are no breaking changes in the
# binary format protocol with the Java version, see ARROW_HOME/format/* for specifications.
# Also don't forget to update python/docs/source/getting_started/install.rst.
_minimum_pandas_version = "1.4.4"
_minimum_numpy_version = "1.21"
_minimum_pyarrow_version = "4.0.0"
_minimum_grpc_version = "1.59.3"
_minimum_googleapis_common_protos_version = "1.56.4"
class InstallCommand(install):
# TODO(SPARK-32837) leverage pip's custom options
def run(self):
install.run(self)
# Make sure the destination is always clean.
spark_dist = os.path.join(self.install_lib, "pyspark", "spark-distribution")
rmtree(spark_dist, ignore_errors=True)
if ("PYSPARK_HADOOP_VERSION" in os.environ) or ("PYSPARK_HIVE_VERSION" in os.environ):
# Note that PYSPARK_VERSION environment is just a testing purpose.
# PYSPARK_HIVE_VERSION environment variable is also internal for now in case
# we support another version of Hive in the future.
spark_version, hadoop_version, hive_version = install_module.checked_versions(
os.environ.get("PYSPARK_VERSION", VERSION).lower(),
os.environ.get("PYSPARK_HADOOP_VERSION", install_module.DEFAULT_HADOOP).lower(),
os.environ.get("PYSPARK_HIVE_VERSION", install_module.DEFAULT_HIVE).lower(),
)
if "PYSPARK_VERSION" not in os.environ and (
(install_module.DEFAULT_HADOOP, install_module.DEFAULT_HIVE)
== (hadoop_version, hive_version)
):
# Do not download and install if they are same as default.
return
install_module.install_spark(
dest=spark_dist,
spark_version=spark_version,
hadoop_version=hadoop_version,
hive_version=hive_version,
)
try:
# We copy the shell script to be under pyspark/python/pyspark so that the launcher scripts
# find it where expected. The rest of the files aren't copied because they are accessed
# using Python imports instead which will be resolved correctly.
try:
os.makedirs("pyspark/python/pyspark")
except OSError:
# Don't worry if the directory already exists.
pass
copyfile("pyspark/shell.py", "pyspark/python/pyspark/shell.py")
if in_spark:
# Construct the symlink farm - this is necessary since we can't refer to the path above the
# package root and we need to copy the jars and scripts which are up above the python root.
if _supports_symlinks():
os.symlink(JARS_PATH, JARS_TARGET)
os.symlink(SCRIPTS_PATH, SCRIPTS_TARGET)
os.symlink(USER_SCRIPTS_PATH, USER_SCRIPTS_TARGET)
os.symlink(EXAMPLES_PATH, EXAMPLES_TARGET)
os.symlink(DATA_PATH, DATA_TARGET)
os.symlink(LICENSES_PATH, LICENSES_TARGET)
else:
# For windows fall back to the slower copytree
copytree(JARS_PATH, JARS_TARGET)
copytree(SCRIPTS_PATH, SCRIPTS_TARGET)
copytree(USER_SCRIPTS_PATH, USER_SCRIPTS_TARGET)
copytree(EXAMPLES_PATH, EXAMPLES_TARGET)
copytree(DATA_PATH, DATA_TARGET)
copytree(LICENSES_PATH, LICENSES_TARGET)
else:
# If we are not inside of SPARK_HOME verify we have the required symlink farm
if not os.path.exists(JARS_TARGET):
print(
"To build packaging must be in the python directory under the SPARK_HOME.",
file=sys.stderr,
)
if not os.path.isdir(SCRIPTS_TARGET):
print(incorrect_invocation_message, file=sys.stderr)
sys.exit(-1)
# Scripts directive requires a list of each script path and does not take wild cards.
script_names = os.listdir(SCRIPTS_TARGET)
scripts = list(map(lambda script: os.path.join(SCRIPTS_TARGET, script), script_names))
# We add find_spark_home.py to the bin directory we install so that pip installed PySpark
# will search for SPARK_HOME with Python.
scripts.append("pyspark/find_spark_home.py")
with open("README.md") as f:
long_description = f.read()
setup(
name="pyspark",
version=VERSION,
description="Apache Spark Python API",
long_description=long_description,
long_description_content_type="text/markdown",
author="Spark Developers",
author_email="dev@spark.apache.org",
url="https://github.com/apache/spark/tree/master/python",
packages=[
"pyspark",
"pyspark.cloudpickle",
"pyspark.mllib",
"pyspark.mllib.linalg",
"pyspark.mllib.stat",
"pyspark.ml",
"pyspark.ml.connect",
"pyspark.ml.linalg",
"pyspark.ml.param",
"pyspark.ml.torch",
"pyspark.ml.deepspeed",
"pyspark.sql",
"pyspark.sql.avro",
"pyspark.sql.connect",
"pyspark.sql.connect.avro",
"pyspark.sql.connect.client",
"pyspark.sql.connect.functions",
"pyspark.sql.connect.proto",
"pyspark.sql.connect.streaming",
"pyspark.sql.connect.streaming.worker",
"pyspark.sql.functions",
"pyspark.sql.pandas",
"pyspark.sql.protobuf",
"pyspark.sql.streaming",
"pyspark.sql.worker",
"pyspark.streaming",
"pyspark.bin",
"pyspark.sbin",
"pyspark.jars",
"pyspark.pandas",
"pyspark.pandas.data_type_ops",
"pyspark.pandas.indexes",
"pyspark.pandas.missing",
"pyspark.pandas.plot",
"pyspark.pandas.spark",
"pyspark.pandas.typedef",
"pyspark.pandas.usage_logging",
"pyspark.python.pyspark",
"pyspark.python.lib",
"pyspark.testing",
"pyspark.data",
"pyspark.licenses",
"pyspark.resource",
"pyspark.errors",
"pyspark.errors.exceptions",
"pyspark.examples.src.main.python",
],
include_package_data=True,
package_dir={
"pyspark.jars": "deps/jars",
"pyspark.bin": "deps/bin",
"pyspark.sbin": "deps/sbin",
"pyspark.python.lib": "lib",
"pyspark.data": "deps/data",
"pyspark.licenses": "deps/licenses",
"pyspark.examples.src.main.python": "deps/examples",
},
package_data={
"pyspark.jars": ["*.jar"],
"pyspark.bin": ["*"],
"pyspark.sbin": [
"spark-config.sh",
"spark-daemon.sh",
"start-history-server.sh",
"stop-history-server.sh",
],
"pyspark.python.lib": ["*.zip"],
"pyspark.data": ["*.txt", "*.data"],
"pyspark.licenses": ["*.txt"],
"pyspark.examples.src.main.python": ["*.py", "*/*.py"],
},
scripts=scripts,
license="http://www.apache.org/licenses/LICENSE-2.0",
# Don't forget to update python/docs/source/getting_started/install.rst
# if you're updating the versions or dependencies.
install_requires=["py4j==0.10.9.7"],
extras_require={
"ml": ["numpy>=%s" % _minimum_numpy_version],
"mllib": ["numpy>=%s" % _minimum_numpy_version],
"sql": [
"pandas>=%s" % _minimum_pandas_version,
"pyarrow>=%s" % _minimum_pyarrow_version,
"numpy>=%s" % _minimum_numpy_version,
],
"pandas_on_spark": [
"pandas>=%s" % _minimum_pandas_version,
"pyarrow>=%s" % _minimum_pyarrow_version,
"numpy>=%s" % _minimum_numpy_version,
],
"connect": [
"pandas>=%s" % _minimum_pandas_version,
"pyarrow>=%s" % _minimum_pyarrow_version,
"grpcio>=%s" % _minimum_grpc_version,
"grpcio-status>=%s" % _minimum_grpc_version,
"googleapis-common-protos>=%s" % _minimum_googleapis_common_protos_version,
"numpy>=%s" % _minimum_numpy_version,
],
},
python_requires=">=3.8",
classifiers=[
"Development Status :: 5 - Production/Stable",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: Implementation :: PyPy",
"Typing :: Typed",
],
cmdclass={
"install": InstallCommand,
},
)
finally:
# We only cleanup the symlink farm if we were in Spark, otherwise we are installing rather than
# packaging.
if in_spark:
# Depending on cleaning up the symlink farm or copied version
if _supports_symlinks():
os.remove(os.path.join(TEMP_PATH, "jars"))
os.remove(os.path.join(TEMP_PATH, "bin"))
os.remove(os.path.join(TEMP_PATH, "sbin"))
os.remove(os.path.join(TEMP_PATH, "examples"))
os.remove(os.path.join(TEMP_PATH, "data"))
os.remove(os.path.join(TEMP_PATH, "licenses"))
else:
rmtree(os.path.join(TEMP_PATH, "jars"))
rmtree(os.path.join(TEMP_PATH, "bin"))
rmtree(os.path.join(TEMP_PATH, "sbin"))
rmtree(os.path.join(TEMP_PATH, "examples"))
rmtree(os.path.join(TEMP_PATH, "data"))
rmtree(os.path.join(TEMP_PATH, "licenses"))
os.rmdir(TEMP_PATH)
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