Nsryjdtyk

I am trying to set up a Dockerfile for my project and am unsure how to set a JAVA_HOME within the container.

FROM python:3.6

# Set the working directory to /app

WORKDIR /app

# Copy the current directory contents into the container at /app

COPY . /app

# Install any needed packages specified in requirements.txt

RUN pip install --trusted-host pypi.python.org -r requirements.txt

# Define environment variable

ENV NAME Netflow

# Run netflow.py

CMD ["python", "netflow.py"]

In the requirements.txt I have...

numpy

pandas

kafka

pyspark

log

My netflow.py file is...

import pandas, math, re, log

from pyspark import SparkConf, SparkContext

from pyspark.sql import SQLContext





conf = SparkConf().setAppName("building a warehouse")

sc = SparkContext(conf=conf)

df=pandas.read_csv(r'TestDataSet.csv') 

The output in the terminal after trying to run it is....

JAVA_HOME is not set

Traceback (most recent call last):

  File "netflow.py", line 7, in <module>

    sc = SparkContext(conf=conf)

  File "/usr/local/lib/python3.6/site-packages/pyspark/context.py", line 115, in __init__

    SparkContext._ensure_initialized(self, gateway=gateway, conf=conf)

  File "/usr/local/lib/python3.6/site-packages/pyspark/context.py", line 298, in _ensure_initialized

    SparkContext._gateway = gateway or launch_gateway(conf)

  File "/usr/local/lib/python3.6/site-packages/pyspark/java_gateway.py", line 94, in launch_gateway

    raise Exception("Java gateway process exited before sending its port number")

I have been looking for a solution but none have worked so far.

I have tried

ENV JAVA_HOME /Library/Java/JavaVirtualMachines/openjdk-11.jdk/Contents/Home

and I have tried using a separate command

docker run -e "JAVA_HOME=/Library/Java/JavaVirtualMachines/openjdk-11.jdk/Contents/Home" project env

I am still getting the same error

You need to actually install Java inside your container, but I would suggest rather finding a Pyspark docker image, or adding Python to the Openjdk images so that you don't need to mess with too many environment variables

More specifically, JAVA_HOME=/Library/Java/JavaVirtualMachines is a only available as a path to your Mac, and shouldn't be expected to work inside a Linux container

However, it's not clear why you need Pyspark when numpy is the only thing actually reading your data

To set environment variables, you can declare them in your dockerfile like so:

ENV JAVA_HOME="foo"

or

ENV JAVA_HOME foo

In fact, you already set an environment variable in the example you posted.

See documentation for more details.