如何在谷歌的dataproc pyspark上运行python3

Question

我想通过谷歌云平台数据流运行一个pyspark工作,但我无法弄清楚如何设置pyspark默认运行python3而不是2.7.

我能找到的最好的是添加这些初始化命令

但是,当我进入集群时,
(a)python命令仍然是python2,
(b)我的作业由于python 2不兼容而失败.

我已经尝试alias python='python3'在我的init.sh脚本中卸载python2和别名,但是唉,没有成功.别名似乎没有坚持.

我像这样创建集群

cluster_config = {
    "projectId": self.project_id,
    "clusterName": cluster_name,
    "config": {
        "gceClusterConfig": gce_cluster_config,
        "masterConfig": master_config,
        "workerConfig": worker_config,
        "initializationActions": [
            [{
            "executableFile": executable_file_uri,
            "executionTimeout": execution_timeout,
        }]
        ],
    }
}

credentials = GoogleCredentials.get_application_default()
api = build('dataproc', 'v1', credentials=credentials)

response = api.projects().regions().clusters().create(
    projectId=self.project_id,
    region=self.region, body=cluster_config
).execute()

我的executable_file_uri是谷歌存储; init.sh:

apt-get -y update
apt-get install -y python-dev
wget -O /root/get-pip.py https://bootstrap.pypa.io/get-pip.py
python /root/get-pip.py
apt-get install -y python-pip
pip install --upgrade pip
pip install --upgrade six
pip install --upgrade gcloud
pip install --upgrade requests
pip install numpy

Answer 1

我在这里找到了一个答案，这样我的初始化脚本现在看起来像这样：

#!/bin/bash

# Install tools
apt-get -y install python3 python-dev build-essential python3-pip
easy_install3 -U pip

# Install requirements
pip3 install --upgrade google-cloud==0.27.0
pip3 install --upgrade google-api-python-client==1.6.2
pip3 install --upgrade pytz==2013.7

# Setup python3 for Dataproc
echo "export PYSPARK_PYTHON=python3" | tee -a  /etc/profile.d/spark_config.sh  /etc/*bashrc /usr/lib/spark/conf/spark-env.sh
echo "export PYTHONHASHSEED=0" | tee -a /etc/profile.d/spark_config.sh /etc/*bashrc /usr/lib/spark/conf/spark-env.sh
echo "spark.executorEnv.PYTHONHASHSEED=0" >> /etc/spark/conf/spark-defaults.conf