Pycharm no python interpreter install#
Pycharm no python interpreter windows#

Pycharm no python interpreter windows#

Go ahead and test your new intellisense capabilities.Ĭonfigure pyspark in pycharm (windows) File menu - settings - project interpreter - (gearshape) - more - (treebelowfunnel) - (+) - click okĮnsure SPARK_HOME set in windows environment, pycharm will take from there.

Here is the setup that works for me (Win7 64bit, P圜harm2017.3CE)Ĭlick File -> Settings -> Project: -> Project InterpreterĬlick the gear icon to the right of the Project Interpreter dropdownĬhoose the interpreter, then click the 'Show Paths' icon (bottom right)Ĭlick the + icon two add the following paths: usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/pyspark.zip Use newly created configuration to run your script.Īdd this to ~/.bash_profile export SPARK_VERSION=`ls /usr/local/Cellar/apache-spark/ | sort | tail -1`Įxport SPARK_HOME='/usr/local/Cellar/apache-spark/$SPARK_VERSION/libexec'Įxport PYTHONPATH=$SPARK_HOME/python/:$PYTHONPATHĮxport PYTHONPATH=$SPARK_HOME/python/lib/:$PYTHONPATHĪdd pyspark and py4j to content root (use the correct Spark version): /usr/local/Cellar/apache-spark/1.6.1/libexec/python/lib/

Pycharm no python interpreter install#

Install or add to path type annotations matching installed Spark version to get better completion and static error detection (Disclaimer - I am an author of the project).

Edit interpreter paths so it contains path to $SPARK_HOME/python (an Py4J if required).

Open settings for an interpreter you want to use with Spark.

PYTHONPATH - it should contain $SPARK_HOME/python and optionally $SPARK_HOME/python/lib/ if not available otherwise. It should contain directories such as bin (with spark-submit, spark-shell, etc.) and conf (with nf, spark-env.sh, etc.)

SPARK_HOME - it should point to the directory with Spark installation.

Set Script path so it points to the script you want to executeĮdit Environment variables field so it contains at least:.

Manually with user provided Spark installation

Go to File -> Settings -> Project InterpreterĬlick on install button and search for PySpark.

With SPARK-1267 being merged you should be able to simplify the process by pip installing Spark in the environment you use for P圜harm development.

Posted on Wednesday, Augby admin With PySpark package (Spark 2.2.0 and later)