Jul 11, 2019 Docker comes with an easy tool called “Kitematic”, which allows you to easily download and install docker containers. Luckily, the Jupyter Team provided a comprehensive container for Spark, including Python and of course Jupyter itself. Jun 04, 2016 As you can see, Docker allows you to quickly get started using Apache Spark in a Jupyter iPython Notebook, regardless of what O/S you’re running. My hope is that you can use this approach to spend less time trying to install and configure Spark, and more time learning and experimenting with it. Aug 31, 2021 # Install Spark NLP from PyPI pip install spark-nlp 3.2.3 # Install Spark NLP from Anacodna/Conda conda install-c. For having Spark NLP, PySpark. Using docker configuration to install hadoop and spark. Install hadoop and spark images respectively Install hadoop image. Docker selected Mirror Address, the version of hadoop provided by this image is relatively new, and jdk8 is installed, which can support the installation of the latest version of spark.
Using docker configuration to install hadoop and spark
docker selected Mirror Address , the version of hadoop provided by this image is relatively new, and jdk8 is installed, which can support the installation of the latest version of spark.
If the requirements for spark version are not very high, you can pull other people's images directly. If a new version is required, you need to configure the dockerfile.
Download the sequenceiq/spark image building source code
Download Spark 2.3.2 installation package from Spark official website
The downloaded files need to be placed in the docker spark directory
Check the local image to make sure hadoop is installed
Enter the docker spark directory and confirm that all the files for image building are ready
Modify the Dockerfile to the following
Modify bootstrap.sh to
Start a spark 2.3.1 container
If you want to be lazy, install the image of spark and hadoop directly. The image address is Here.
Or input directly at the terminal:
Posted by shantred on Tue, 10 Dec 2019 22:46:53 -0800