314cf51ded
## What changes were proposed in this pull request? The master snapshot publisher builds are currently broken due to two minor build issues: 1. For unknown reasons, the LFTP `mkdir -p` command began throwing errors when the remote directory already exists. This change of behavior might have been caused by configuration changes in the ASF's SFTP server, but I'm not entirely sure of that. To work around this problem, this patch updates the script to ignore errors from the `lftp mkdir -p` commands. 2. The PySpark `setup.py` file references a non-existent `pyspark.ml.stat` module, causing Python packaging to fail by complaining about a missing directory. The fix is to simply drop that line from the setup script. ## How was this patch tested? The LFTP fix was tested by manually running the failing commands on AMPLab Jenkins against the ASF SFTP server. The PySpark fix was tested locally. Author: Josh Rosen <joshrosen@databricks.com> Closes #17437 from JoshRosen/spark-20102.
232 lines
9.4 KiB
Python
232 lines
9.4 KiB
Python
#!/usr/bin/env python
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import glob
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import os
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import sys
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from setuptools import setup, find_packages
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from shutil import copyfile, copytree, rmtree
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if sys.version_info < (2, 7):
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print("Python versions prior to 2.7 are not supported for pip installed PySpark.",
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file=sys.stderr)
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exit(-1)
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try:
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exec(open('pyspark/version.py').read())
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except IOError:
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print("Failed to load PySpark version file for packaging. You must be in Spark's python dir.",
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file=sys.stderr)
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sys.exit(-1)
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VERSION = __version__
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# A temporary path so we can access above the Python project root and fetch scripts and jars we need
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TEMP_PATH = "deps"
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SPARK_HOME = os.path.abspath("../")
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# Provide guidance about how to use setup.py
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incorrect_invocation_message = """
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If you are installing pyspark from spark source, you must first build Spark and
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run sdist.
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To build Spark with maven you can run:
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./build/mvn -DskipTests clean package
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Building the source dist is done in the Python directory:
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cd python
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python setup.py sdist
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pip install dist/*.tar.gz"""
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# Figure out where the jars are we need to package with PySpark.
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JARS_PATH = glob.glob(os.path.join(SPARK_HOME, "assembly/target/scala-*/jars/"))
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if len(JARS_PATH) == 1:
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JARS_PATH = JARS_PATH[0]
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elif (os.path.isfile("../RELEASE") and len(glob.glob("../jars/spark*core*.jar")) == 1):
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# Release mode puts the jars in a jars directory
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JARS_PATH = os.path.join(SPARK_HOME, "jars")
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elif len(JARS_PATH) > 1:
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print("Assembly jars exist for multiple scalas ({0}), please cleanup assembly/target".format(
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JARS_PATH), file=sys.stderr)
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sys.exit(-1)
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elif len(JARS_PATH) == 0 and not os.path.exists(TEMP_PATH):
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print(incorrect_invocation_message, file=sys.stderr)
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sys.exit(-1)
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EXAMPLES_PATH = os.path.join(SPARK_HOME, "examples/src/main/python")
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SCRIPTS_PATH = os.path.join(SPARK_HOME, "bin")
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DATA_PATH = os.path.join(SPARK_HOME, "data")
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LICENSES_PATH = os.path.join(SPARK_HOME, "licenses")
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SCRIPTS_TARGET = os.path.join(TEMP_PATH, "bin")
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JARS_TARGET = os.path.join(TEMP_PATH, "jars")
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EXAMPLES_TARGET = os.path.join(TEMP_PATH, "examples")
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DATA_TARGET = os.path.join(TEMP_PATH, "data")
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LICENSES_TARGET = os.path.join(TEMP_PATH, "licenses")
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# Check and see if we are under the spark path in which case we need to build the symlink farm.
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# This is important because we only want to build the symlink farm while under Spark otherwise we
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# want to use the symlink farm. And if the symlink farm exists under while under Spark (e.g. a
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# partially built sdist) we should error and have the user sort it out.
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in_spark = (os.path.isfile("../core/src/main/scala/org/apache/spark/SparkContext.scala") or
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(os.path.isfile("../RELEASE") and len(glob.glob("../jars/spark*core*.jar")) == 1))
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def _supports_symlinks():
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"""Check if the system supports symlinks (e.g. *nix) or not."""
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return getattr(os, "symlink", None) is not None
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if (in_spark):
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# Construct links for setup
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try:
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os.mkdir(TEMP_PATH)
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except:
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print("Temp path for symlink to parent already exists {0}".format(TEMP_PATH),
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file=sys.stderr)
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exit(-1)
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try:
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# We copy the shell script to be under pyspark/python/pyspark so that the launcher scripts
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# find it where expected. The rest of the files aren't copied because they are accessed
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# using Python imports instead which will be resolved correctly.
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try:
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os.makedirs("pyspark/python/pyspark")
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except OSError:
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# Don't worry if the directory already exists.
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pass
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copyfile("pyspark/shell.py", "pyspark/python/pyspark/shell.py")
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if (in_spark):
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# Construct the symlink farm - this is necessary since we can't refer to the path above the
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# package root and we need to copy the jars and scripts which are up above the python root.
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if _supports_symlinks():
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os.symlink(JARS_PATH, JARS_TARGET)
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os.symlink(SCRIPTS_PATH, SCRIPTS_TARGET)
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os.symlink(EXAMPLES_PATH, EXAMPLES_TARGET)
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os.symlink(DATA_PATH, DATA_TARGET)
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os.symlink(LICENSES_PATH, LICENSES_TARGET)
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else:
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# For windows fall back to the slower copytree
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copytree(JARS_PATH, JARS_TARGET)
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copytree(SCRIPTS_PATH, SCRIPTS_TARGET)
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copytree(EXAMPLES_PATH, EXAMPLES_TARGET)
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copytree(DATA_PATH, DATA_TARGET)
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copytree(LICENSES_PATH, LICENSES_TARGET)
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else:
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# If we are not inside of SPARK_HOME verify we have the required symlink farm
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if not os.path.exists(JARS_TARGET):
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print("To build packaging must be in the python directory under the SPARK_HOME.",
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file=sys.stderr)
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if not os.path.isdir(SCRIPTS_TARGET):
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print(incorrect_invocation_message, file=sys.stderr)
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exit(-1)
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# Scripts directive requires a list of each script path and does not take wild cards.
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script_names = os.listdir(SCRIPTS_TARGET)
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scripts = list(map(lambda script: os.path.join(SCRIPTS_TARGET, script), script_names))
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# We add find_spark_home.py to the bin directory we install so that pip installed PySpark
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# will search for SPARK_HOME with Python.
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scripts.append("pyspark/find_spark_home.py")
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# Parse the README markdown file into rst for PyPI
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long_description = "!!!!! missing pandoc do not upload to PyPI !!!!"
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try:
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import pypandoc
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long_description = pypandoc.convert('README.md', 'rst')
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except ImportError:
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print("Could not import pypandoc - required to package PySpark", file=sys.stderr)
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setup(
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name='pyspark',
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version=VERSION,
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description='Apache Spark Python API',
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long_description=long_description,
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author='Spark Developers',
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author_email='dev@spark.apache.org',
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url='https://github.com/apache/spark/tree/master/python',
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packages=['pyspark',
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'pyspark.mllib',
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'pyspark.mllib.linalg',
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'pyspark.mllib.stat',
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'pyspark.ml',
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'pyspark.ml.linalg',
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'pyspark.ml.param',
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'pyspark.sql',
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'pyspark.streaming',
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'pyspark.bin',
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'pyspark.jars',
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'pyspark.python.pyspark',
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'pyspark.python.lib',
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'pyspark.data',
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'pyspark.licenses',
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'pyspark.examples.src.main.python'],
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include_package_data=True,
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package_dir={
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'pyspark.jars': 'deps/jars',
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'pyspark.bin': 'deps/bin',
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'pyspark.python.lib': 'lib',
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'pyspark.data': 'deps/data',
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'pyspark.licenses': 'deps/licenses',
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'pyspark.examples.src.main.python': 'deps/examples',
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},
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package_data={
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'pyspark.jars': ['*.jar'],
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'pyspark.bin': ['*'],
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'pyspark.python.lib': ['*.zip'],
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'pyspark.data': ['*.txt', '*.data'],
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'pyspark.licenses': ['*.txt'],
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'pyspark.examples.src.main.python': ['*.py', '*/*.py']},
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scripts=scripts,
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license='http://www.apache.org/licenses/LICENSE-2.0',
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install_requires=['py4j==0.10.4'],
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setup_requires=['pypandoc'],
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extras_require={
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'ml': ['numpy>=1.7'],
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'mllib': ['numpy>=1.7'],
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'sql': ['pandas']
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},
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classifiers=[
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'Development Status :: 5 - Production/Stable',
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'License :: OSI Approved :: Apache Software License',
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'Programming Language :: Python :: 2.7',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.4',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: Implementation :: CPython',
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'Programming Language :: Python :: Implementation :: PyPy']
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)
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finally:
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# We only cleanup the symlink farm if we were in Spark, otherwise we are installing rather than
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# packaging.
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if (in_spark):
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# Depending on cleaning up the symlink farm or copied version
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if _supports_symlinks():
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os.remove(os.path.join(TEMP_PATH, "jars"))
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os.remove(os.path.join(TEMP_PATH, "bin"))
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os.remove(os.path.join(TEMP_PATH, "examples"))
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os.remove(os.path.join(TEMP_PATH, "data"))
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os.remove(os.path.join(TEMP_PATH, "licenses"))
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else:
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rmtree(os.path.join(TEMP_PATH, "jars"))
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rmtree(os.path.join(TEMP_PATH, "bin"))
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rmtree(os.path.join(TEMP_PATH, "examples"))
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rmtree(os.path.join(TEMP_PATH, "data"))
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rmtree(os.path.join(TEMP_PATH, "licenses"))
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os.rmdir(TEMP_PATH)
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