spark-instrumented-optimizer/bin/pyspark
Dongjoon Hyun fc4e56a54c [SPARK-30884][PYSPARK] Upgrade to Py4J 0.10.9
This PR aims to upgrade Py4J to `0.10.9` for better Python 3.7 support in Apache Spark 3.0.0 (master/branch-3.0). This is not for `branch-2.4`.

- Apache Spark 3.0.0 is using `Py4J 0.10.8.1` (released on 2018-10-21) because `0.10.8.1` was the first official release to support Python 3.7.
    - https://www.py4j.org/changelog.html#py4j-0-10-8-and-py4j-0-10-8-1
- `Py4J 0.10.9` was released on January 25th 2020 with better Python 3.7 support and `magic_member` bug fix.
    - https://github.com/bartdag/py4j/releases/tag/0.10.9
    - https://www.py4j.org/changelog.html#py4j-0-10-9

No.

Pass the Jenkins with the existing tests.

Closes #27641 from dongjoon-hyun/SPARK-30884.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2020-02-20 09:09:30 -08:00

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#!/usr/bin/env bash
#
# 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.
#
if [ -z "${SPARK_HOME}" ]; then
source "$(dirname "$0")"/find-spark-home
fi
source "${SPARK_HOME}"/bin/load-spark-env.sh
export _SPARK_CMD_USAGE="Usage: ./bin/pyspark [options]"
# In Spark 2.0, IPYTHON and IPYTHON_OPTS are removed and pyspark fails to launch if either option
# is set in the user's environment. Instead, users should set PYSPARK_DRIVER_PYTHON=ipython
# to use IPython and set PYSPARK_DRIVER_PYTHON_OPTS to pass options when starting the Python driver
# (e.g. PYSPARK_DRIVER_PYTHON_OPTS='notebook'). This supports full customization of the IPython
# and executor Python executables.
# Fail noisily if removed options are set
if [[ -n "$IPYTHON" || -n "$IPYTHON_OPTS" ]]; then
echo "Error in pyspark startup:"
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."
exit 1
fi
# Default to standard python interpreter unless told otherwise
if [[ -z "$PYSPARK_PYTHON" ]]; then
PYSPARK_PYTHON=python
fi
if [[ -z "$PYSPARK_DRIVER_PYTHON" ]]; then
PYSPARK_DRIVER_PYTHON=$PYSPARK_PYTHON
fi
export PYSPARK_PYTHON
export PYSPARK_DRIVER_PYTHON
export PYSPARK_DRIVER_PYTHON_OPTS
# Add the PySpark classes to the Python path:
export PYTHONPATH="${SPARK_HOME}/python/:$PYTHONPATH"
export PYTHONPATH="${SPARK_HOME}/python/lib/py4j-0.10.9-src.zip:$PYTHONPATH"
# Load the PySpark shell.py script when ./pyspark is used interactively:
export OLD_PYTHONSTARTUP="$PYTHONSTARTUP"
export PYTHONSTARTUP="${SPARK_HOME}/python/pyspark/shell.py"
# For pyspark tests
if [[ -n "$SPARK_TESTING" ]]; then
unset YARN_CONF_DIR
unset HADOOP_CONF_DIR
export PYTHONHASHSEED=0
exec "$PYSPARK_DRIVER_PYTHON" -m "$@"
exit
fi
exec "${SPARK_HOME}"/bin/spark-submit pyspark-shell-main --name "PySparkShell" "$@"