spark-instrumented-optimizer/sbin/spark-config.sh
Josh Rosen 07cb323e7a [SPARK-13848][SPARK-5185] Update to Py4J 0.9.2 in order to fix classloading issue
This patch upgrades Py4J from 0.9.1 to 0.9.2 in order to include a patch which modifies Py4J to use the current thread's ContextClassLoader when performing reflection / class loading. This is necessary in order to fix [SPARK-5185](https://issues.apache.org/jira/browse/SPARK-5185), a longstanding issue affecting the use of `--jars` and `--packages` in PySpark.

In order to demonstrate that the fix works, I removed the workarounds which were added as part of [SPARK-6027](https://issues.apache.org/jira/browse/SPARK-6027) / #4779 and other patches.

Py4J diff: https://github.com/bartdag/py4j/compare/0.9.1...0.9.2

/cc zsxwing tdas davies brkyvz

Author: Josh Rosen <joshrosen@databricks.com>

Closes #11687 from JoshRosen/py4j-0.9.2.
2016-03-14 12:22:02 -07:00

31 lines
1.3 KiB
Bash
Executable file

#
# 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.
#
# included in all the spark scripts with source command
# should not be executable directly
# also should not be passed any arguments, since we need original $*
# symlink and absolute path should rely on SPARK_HOME to resolve
if [ -z "${SPARK_HOME}" ]; then
export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi
export SPARK_CONF_DIR="${SPARK_CONF_DIR:-"${SPARK_HOME}/conf"}"
# Add the PySpark classes to the PYTHONPATH:
export PYTHONPATH="${SPARK_HOME}/python:${PYTHONPATH}"
export PYTHONPATH="${SPARK_HOME}/python/lib/py4j-0.9.2-src.zip:${PYTHONPATH}"