4f60651cbe
- [x] Upgrade Py4J to 0.9.1
- [x] SPARK-12657: Revert SPARK-12617
- [x] SPARK-12658: Revert SPARK-12511
- Still keep the change that only reading checkpoint once. This is a manual change and worth to take a look carefully. bfd4b5c040
- [x] Verify no leak any more after reverting our workarounds
Author: Shixiong Zhu <shixiong@databricks.com>
Closes #10692 from zsxwing/py4j-0.9.1.
88 lines
3.4 KiB
Bash
Executable file
88 lines
3.4 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 "${SPARK_HOME}" ]; then
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export SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
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fi
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source "${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 <= 1.1, setting IPYTHON=1 would cause the driver to be launched using the `ipython`
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# executable, while the worker would still be launched using PYSPARK_PYTHON.
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#
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# In Spark 1.2, we removed the documentation of the IPYTHON and IPYTHON_OPTS variables and added
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# PYSPARK_DRIVER_PYTHON and PYSPARK_DRIVER_PYTHON_OPTS to allow IPython to be used for the driver.
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# Now, users can simply set PYSPARK_DRIVER_PYTHON=ipython to use IPython and set
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# 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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#
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# For backwards-compatibility, we retain the old IPYTHON and IPYTHON_OPTS variables.
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# Determine the Python executable to use if PYSPARK_PYTHON or PYSPARK_DRIVER_PYTHON isn't set:
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if hash python2.7 2>/dev/null; then
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# Attempt to use Python 2.7, if installed:
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DEFAULT_PYTHON="python2.7"
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else
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DEFAULT_PYTHON="python"
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fi
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# Determine the Python executable to use for the driver:
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if [[ -n "$IPYTHON_OPTS" || "$IPYTHON" == "1" ]]; then
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# If IPython options are specified, assume user wants to run IPython
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# (for backwards-compatibility)
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PYSPARK_DRIVER_PYTHON_OPTS="$PYSPARK_DRIVER_PYTHON_OPTS $IPYTHON_OPTS"
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PYSPARK_DRIVER_PYTHON="ipython"
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elif [[ -z "$PYSPARK_DRIVER_PYTHON" ]]; then
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PYSPARK_DRIVER_PYTHON="${PYSPARK_PYTHON:-"$DEFAULT_PYTHON"}"
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fi
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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* && $DEFAULT_PYTHON != "python2.7" ]]; then
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echo "IPython requires Python 2.7+; please install python2.7 or set PYSPARK_PYTHON" 1>&2
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exit 1
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else
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PYSPARK_PYTHON="$DEFAULT_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="${SPARK_HOME}/python/lib/py4j-0.9.1-src.zip:$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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