Java(TM) SE Runtime Environment (build 1.8.0_92-b14) For example, I got the following output on my laptop. If Java is installed and configured to work from a Command Prompt, running the above command should print the information about the Java version to the console. To check if Java is available and find its version, open a Command Prompt and type the following command. So, it is quite possible that a required version (in our case version 7 or later) is already available on your computer. PySpark requires Java version 7 or later and Python version 2.6 or later. This exercise approximately takes 30 minutes. Kindly follow the below steps to get this implemented and enjoy the power of Spark from the comfort of Jupyter. This article aims to simplify that and enable the users to use the Jupyter itself for developing Spark codes with the help of PySpark. A lot of times Python developers are forced to use Scala for developing codes in Spark. However, it doesn’t support Spark development implicitly. Jupyter is one of the powerful tools for development.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |