a36a76ac43
## What changes were proposed in this pull request? This PR aims to provide a pip installable PySpark package. This does a bunch of work to copy the jars over and package them with the Python code (to prevent challenges from trying to use different versions of the Python code with different versions of the JAR). It does not currently publish to PyPI but that is the natural follow up (SPARK-18129). Done: - pip installable on conda [manual tested] - setup.py installed on a non-pip managed system (RHEL) with YARN [manual tested] - Automated testing of this (virtualenv) - packaging and signing with release-build* Possible follow up work: - release-build update to publish to PyPI (SPARK-18128) - figure out who owns the pyspark package name on prod PyPI (is it someone with in the project or should we ask PyPI or should we choose a different name to publish with like ApachePySpark?) - Windows support and or testing ( SPARK-18136 ) - investigate details of wheel caching and see if we can avoid cleaning the wheel cache during our test - consider how we want to number our dev/snapshot versions Explicitly out of scope: - Using pip installed PySpark to start a standalone cluster - Using pip installed PySpark for non-Python Spark programs *I've done some work to test release-build locally but as a non-committer I've just done local testing. ## How was this patch tested? Automated testing with virtualenv, manual testing with conda, a system wide install, and YARN integration. release-build changes tested locally as a non-committer (no testing of upload artifacts to Apache staging websites) Author: Holden Karau <holden@us.ibm.com> Author: Juliet Hougland <juliet@cloudera.com> Author: Juliet Hougland <not@myemail.com> Closes #15659 from holdenk/SPARK-1267-pip-install-pyspark.
78 lines
2.9 KiB
Bash
Executable file
78 lines
2.9 KiB
Bash
Executable file
#!/usr/bin/env bash
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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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#
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if [ -z "${SPARK_HOME}" ]; then
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source "$(dirname "$0")"/find-spark-home
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fi
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source "${SPARK_HOME}"/bin/load-spark-env.sh
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export _SPARK_CMD_USAGE="Usage: ./bin/pyspark [options]"
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# In Spark 2.0, IPYTHON and IPYTHON_OPTS are removed and pyspark fails to launch if either option
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# is set in the user's environment. Instead, users should set PYSPARK_DRIVER_PYTHON=ipython
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# to use IPython and set PYSPARK_DRIVER_PYTHON_OPTS to pass options when starting the Python driver
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# (e.g. PYSPARK_DRIVER_PYTHON_OPTS='notebook'). This supports full customization of the IPython
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# and executor Python executables.
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# Fail noisily if removed options are set
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if [[ -n "$IPYTHON" || -n "$IPYTHON_OPTS" ]]; then
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echo "Error in pyspark startup:"
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echo "IPYTHON and IPYTHON_OPTS are removed in Spark 2.0+. Remove these from the environment and set PYSPARK_DRIVER_PYTHON and PYSPARK_DRIVER_PYTHON_OPTS instead."
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exit 1
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fi
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# Default to standard python interpreter unless told otherwise
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if [[ -z "$PYSPARK_DRIVER_PYTHON" ]]; then
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PYSPARK_DRIVER_PYTHON="${PYSPARK_PYTHON:-"python"}"
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fi
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WORKS_WITH_IPYTHON=$(python -c 'import sys; print(sys.version_info >= (2, 7, 0))')
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# Determine the Python executable to use for the executors:
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if [[ -z "$PYSPARK_PYTHON" ]]; then
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if [[ $PYSPARK_DRIVER_PYTHON == *ipython* && ! $WORKS_WITH_IPYTHON ]]; then
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echo "IPython requires Python 2.7+; please install python2.7 or set PYSPARK_PYTHON" 1>&2
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exit 1
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else
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PYSPARK_PYTHON=python
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fi
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fi
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export PYSPARK_PYTHON
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# Add the PySpark classes to the Python path:
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export PYTHONPATH="${SPARK_HOME}/python/:$PYTHONPATH"
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export PYTHONPATH="${SPARK_HOME}/python/lib/py4j-0.10.4-src.zip:$PYTHONPATH"
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# Load the PySpark shell.py script when ./pyspark is used interactively:
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export OLD_PYTHONSTARTUP="$PYTHONSTARTUP"
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export PYTHONSTARTUP="${SPARK_HOME}/python/pyspark/shell.py"
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# For pyspark tests
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if [[ -n "$SPARK_TESTING" ]]; then
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unset YARN_CONF_DIR
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unset HADOOP_CONF_DIR
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export PYTHONHASHSEED=0
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exec "$PYSPARK_DRIVER_PYTHON" -m "$1"
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exit
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fi
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export PYSPARK_DRIVER_PYTHON
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export PYSPARK_DRIVER_PYTHON_OPTS
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exec "${SPARK_HOME}"/bin/spark-submit pyspark-shell-main --name "PySparkShell" "$@"
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