配置Ipython Nodebook 运

  • 2020 年 1 月 13 日
  • 筆記

配置Ipython Nodebook 运行 Python Spark 程序

1.1、安装Anaconda

可以去Anaconda的官网下载对应的版本

1.1.1、下载Anaconda

$ cd /opt/local/src/  $ wget -c https://repo.anaconda.com/archive/Anaconda3-5.2.0-Linux-x86_64.sh

1.1.2、安装Anaconda

# 参数 -b 表示 batch -p 表示指定安装目录  $ bash Anaconda3-5.2.0-Linux-x86_64.sh -p /opt/local/anaconda -b

1.1.3、配置Anaconda相关环境变量

  • 配置环境变量
$ tail -n 8 ~/.bashrc    # Anaconda3  export ANACONDA_PATH=/opt/local/anaconda  export PATH=$ANACONDA_PATH/bin:$PATH    # PySpark  export PYSPARK_DRIVER_PYTHON=$ANACONDA_PATH/bin/ipython  export PYSPARK_PYTHON=$ANACONDA_PATH/bin/python
  • 启用环境变量
$ source ~/.bashrc
  • 验证
$ python --version  Python 3.6.5 :: Anaconda, Inc.

1.2、在Ipython Notebook 使用pySpark

1.2.1、创建工作目录

$ mkdir  ~/ipynotebook  $ cd ~/ipynotebook

1.2.2、Ipython Notebook 运行pySpark

  • 运行Ipython Notebook
$ PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook" pyspark  [TerminalIPythonApp] WARNING | Subcommand `ipython notebook` is deprecated and will be removed in future versions.  [TerminalIPythonApp] WARNING | You likely want to use `jupyter notebook` in the future  [I 14:21:56.030 NotebookApp] JupyterLab beta preview extension loaded from /opt/local/anaconda/lib/python3.6/site-packages/jupyterlab  [I 14:21:56.030 NotebookApp] JupyterLab application directory is /opt/local/anaconda/share/jupyter/lab  [I 14:21:56.037 NotebookApp] Serving notebooks from local directory: /home/hadoop/ipynotebook  [I 14:21:56.037 NotebookApp] 0 active kernels  [I 14:21:56.037 NotebookApp] The Jupyter Notebook is running at:  [I 14:21:56.037 NotebookApp] http://localhost:8888/?token=5b68718fdabe4488decf07703a3bd76bf46d5dc733a6617d  [I 14:21:56.037 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).  [C 14:21:56.040 NotebookApp]        Copy/paste this URL into your browser when you connect for the first time,      to login with a token:          http://localhost:8888/?token=5b68718fdabe4488decf07703a3bd76bf46d5dc733a6617d&token=5b68718fdabe4488decf07703a3bd76bf46d5dc733a6617d  [I 14:21:56.683 NotebookApp] Accepting one-time-token-authenticated connection from 127.0.0.1

会自动通过默认的浏览器打开http://localhost:8888 页面

  • 在IPython Notebook 上编写程序

1.2.3、Ipython Notebook 在Hadoop Yarn 运行pySpark

  • 运行Ipython Notebook
$ PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook" HADOOP_CONF_DIR=/opt/local/hadoop/etc/hadoop MASTER=yarn-client pyspark  [TerminalIPythonApp] WARNING | Subcommand `ipython notebook` is deprecated and will be removed in future versions.  [TerminalIPythonApp] WARNING | You likely want to use `jupyter notebook` in the future  [I 14:50:48.149 NotebookApp] JupyterLab beta preview extension loaded from /opt/local/anaconda/lib/python3.6/site-packages/jupyterlab  [I 14:50:48.149 NotebookApp] JupyterLab application directory is /opt/local/anaconda/share/jupyter/lab  [I 14:50:48.157 NotebookApp] Serving notebooks from local directory: /home/hadoop/ipynotebook  [I 14:50:48.157 NotebookApp] 0 active kernels  [I 14:50:48.157 NotebookApp] The Jupyter Notebook is running at:  [I 14:50:48.157 NotebookApp] http://localhost:8888/?token=8fe2c599dc39a23104dd6a058a0e05de3d9e88cfeda71b45  [I 14:50:48.157 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).  [C 14:50:48.161 NotebookApp]        Copy/paste this URL into your browser when you connect for the first time,      to login with a token:          http://localhost:8888/?token=8fe2c599dc39a23104dd6a058a0e05de3d9e88cfeda71b45&token=8fe2c599dc39a23104dd6a058a0e05de3d9e88cfeda71b45
  • 在IPython Notebook 上编写程序
  • 在YARN查看任务
$ yarn application -list  18/06/24 14:53:06 INFO client.RMProxy: Connecting to ResourceManager at node/192.168.20.10:8032  Total number of applications (application-types: [] and states: [SUBMITTED, ACCEPTED, RUNNING]):1                  Application-Id      Application-Name        Application-Type          User       Queue               State         Final-State         Progress                        Tracking-URL  application_1529805293111_0001          PySparkShell                   SPARK        hadoop     default             RUNNING           UNDEFINED              10%                    http://node:4040

1.2.4、Ipython Notebook 在Spark Stand Alone 运行pySpark

  • 启动Spark Stand Alone
$ /opt/local/spark/sbin/start-master.sh    $ /opt/local/spark/sbin/start-slaves.sh    $ jps  13249 Jps  13027 Master  13188 Worker
  • 运行Ipython Notebook
$ PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook" MASTER=spark://node:7077 pyspark --num-executors 1 --total-executor-cores 1 --executor-memory 512m  [TerminalIPythonApp] WARNING | Subcommand `ipython notebook` is deprecated and will be removed in future versions.  [TerminalIPythonApp] WARNING | You likely want to use `jupyter notebook` in the future  [I 15:11:59.211 NotebookApp] JupyterLab beta preview extension loaded from /opt/local/anaconda/lib/python3.6/site-packages/jupyterlab  [I 15:11:59.212 NotebookApp] JupyterLab application directory is /opt/local/anaconda/share/jupyter/lab  [I 15:11:59.230 NotebookApp] Serving notebooks from local directory: /home/hadoop/ipynotebook  [I 15:11:59.230 NotebookApp] 0 active kernels  [I 15:11:59.230 NotebookApp] The Jupyter Notebook is running at:  [I 15:11:59.230 NotebookApp] http://localhost:8888/?token=1972eb523fea28d541985df7ed2ce55cc2bfada7e31eb9ea  [I 15:11:59.230 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).  [C 15:11:59.233 NotebookApp]        Copy/paste this URL into your browser when you connect for the first time,      to login with a token:          http://localhost:8888/?token=1972eb523fea28d541985df7ed2ce55cc2bfada7e31eb9ea&token=1972eb523fea28d541985df7ed2ce55cc2bfada7e31eb9ea  [I 15:12:02.594 NotebookApp] Accepting one-time-token-authenticated connection from 127.0.0.1
  • 在IPython Notebook 上编写程序
  • 查看Spark Standalone Web UI 界面

1.3、总结

启动启动Ipython Notebook,首先进入Ipython Notebook的工作目录,如~/ipynotebook这个根据实际的情况确定;

1.3.1、Local 启动Ipython Notebook

PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook" pyspark  #### 或者  PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook" pyspark --master local[*]

1.3.2、Hadoop YARN 启动Ipython Notebook

PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook" HADOOP_CONF_DIR=/opt/local/hadoop/etc/hadoop MASTER=yarn-client pyspark  #### 或者  PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook" HADOOP_CONF_DIR=/opt/local/hadoop/etc/hadoop pyspark --master yarn --deploy-mode client

1.3.3、Spark Stand Alone 启动Ipython Notebook

PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook" MASTER=spark://node:7077 pyspark --num-executors 1 --total-executor-cores 1 --executor-memory 512m