配置Ipython Nodebook 运
1.1、安装Anaconda
Anaconda的官网是https://www.anaconda.com/,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.sh1.1.2、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 -b1.1.3、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 ~/ipynotebook1.2.2、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:40401.2.4、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 client1.3.2、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 相关文章