Pip 18.0 from c:\users\joshu\anaconda3\envs\airflow\lib\site-packages\pip (python 3.7) (airflow) C:\Users\joshu\Documents>pip -version
PIP INSTALL APACHE SPARK CODE
(airflow) C:\Users\joshu\Documents>pip install "apache-airflow"įile "C:\Users\joshu\AppData\Local\Temp\pip-install-n1v4sa6d\apache-airflow\setup.py", line 102Ĭommand "python setup.py egg_info" failed with error code 1 in C:\Users\joshu\AppData\Local\Temp\pip-install-n1v4sa6d\apache-airflow\ (airflow) C:\Users\joshu\Documents>pip freeze You should consider upgrading via the 'python -m pip install -upgrade pip' command. You are using pip version 10.0.1, however version 18.0 is available. Successfully uninstalled setuptools-40.0.0 Installing collected packages: setuptoolsįound existing installation: setuptools 40.0.0 (airflow) C:\Users\joshu\Documents>pip install -upgrade setuptools c/Users/joshu/Anaconda3/envs/airflow/Scripts/pip (airflow) C:\Users\joshu\Documents>which pip (airflow) C:\Users\joshu\Documents>where pipĬ:\Users\joshu\Anaconda3\envs\airflow\Scripts\pip.exe # packages in environment at C:\Users\joshu\Anaconda3\envs\airflow: (airflow) C:\Users\joshu\Documents>conda list (airflow) C:\Users\joshu\Documents> pip freeze => WARNING: A newer version of conda exists. (myVenv) C:\Users\joshu\Documents>pip install "apache-airflow"Ĭomplete output from command python setup.py egg_info:įile "C:\Users\joshu\AppData\Local\Temp\pip-install-3efyslfh\apache-airflow\setup.py", line 102Ĭommand "python setup.py egg_info" failed with error code 1 in C:\Users\joshu\AppData\Local\Temp\pip-install-3efyslfh\apache-airflow\ġ) Сначала я создал среду conda и установил в нее pip и setuptools: C:\Users\joshu\Documents>conda create -n airflow pip setuptools Сбой команды "python setup.py egg_info" с кодом ошибки 1 в C: \ Users \ joshu \ AppData \ Local \ Temp \ pip-install-3efyslfh \ apache-airflow \ In this Spark Tutorial, we have gone through a step by step process to make environment ready for Spark Installation, and the installation of Apache Spark itself.Я пытаюсь установить apache-airflow, используя pip, в среду conda. :quit command exits you from scala script of spark-shell. Scala> verify the versions of Spark, Java and Scala displayed during the start of spark-shell. Type in expressions to have them evaluated. Using Scala version 2.11.8 (OpenJDK 64-Bit Server VM, Java 1.8.0_131) Spark context available as 'sc' (master = local, app id = local-1501798344680). using builtin-java classes where applicableġ7/08/04 03:42:23 WARN Utils: Your hostname, arjun-VPCEH26EN resolves to a loopback address: 127.0.1.1 using 192.168.1.100 instead (on interface wlp7s0)ġ7/08/04 03:42:23 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another addressġ7/08/04 03:42:36 WARN ObjectStore: Failed to get database global_temp, returning NoSuchObjectException For SparkR, use setLogLevel(newLevel).ġ7/08/04 03:42:23 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform. To adjust logging level use sc.setLogLevel(newLevel). Using Sparks default log4j profile: org/apache/spark/log4j-defaults.properties Run the following command : ~$ spark-shell ~$ spark-shell
To verify the installation, close the Terminal already opened, and open a new Terminal again. Now that we have installed everything required and setup the PATH, we shall verify if Apache Spark has been installed correctly. Latest Apache Spark is successfully installed in your Ubuntu 16. export JAVA_HOME=/usr/lib/jvm/default-java/jre We shall use nano editor here : $ sudo nano ~/.bashrcĪnd add following lines at the end of ~/.bashrc file. To set JAVA_HOME variable and add /usr/lib/spark/bin folder to PATH, open ~/.bashrc with any of the editor. As a prerequisite, JAVA_HOME variable should also be set. Now we need to set SPARK_HOME environment variable and add it to the PATH. Then we moved the spark named folder to /usr/lib/. In the following terminal commands, we copied the contents of the unzipped spark folder to a folder named spark.
PIP INSTALL APACHE SPARK ZIP
To unzip the download, open a terminal and run the tar command from the location of the zip file. Before setting up Apache Spark in the PC, unzip the file.
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