I created an Amazon EMR cluster with Spark already on it. When I run pyspark from the terminal it goes into the pyspark terminal when I ssh into my cluster.
I uploaded a
I add the following lines to ~/.bashrc
for emr 4.3:
export SPARK_HOME=/usr/lib/spark
export PYTHONPATH=$SPARK_HOME/python/lib/py4j-0.XXX-src.zip:$PYTHONPATH
export PYTHONPATH=$SPARK_HOME/python:$SPARK_HOME/python/build:$PYTHONPATH
Here py4j-0.XXX-src.zip
is the py4j file in your spark python library folder. Search /usr/lib/spark/python/lib/
to find the exact version and replace the XXX
with that version number.
Run source ~/.bashrc
and you should be good.
Try using findspark: Install via shell using pip install findspark
.
Sample code:
# Import package(s).
import findspark
findspark.init()
from pyspark import SparkContext
from pyspark.sql import SQLContext
You probably need to add the pyspark files to the path. I typically use a function like the following.
def configure_spark(spark_home=None, pyspark_python=None):
spark_home = spark_home or "/path/to/default/spark/home"
os.environ['SPARK_HOME'] = spark_home
# Add the PySpark directories to the Python path:
sys.path.insert(1, os.path.join(spark_home, 'python'))
sys.path.insert(1, os.path.join(spark_home, 'python', 'pyspark'))
sys.path.insert(1, os.path.join(spark_home, 'python', 'build'))
# If PySpark isn't specified, use currently running Python binary:
pyspark_python = pyspark_python or sys.executable
os.environ['PYSPARK_PYTHON'] = pyspark_python
Then, you can call the function before importing pyspark:
configure_spark('/path/to/spark/home')
from pyspark import SparkContext
Spark home on an EMR node should be something like /home/hadoop/spark
. See https://aws.amazon.com/articles/Elastic-MapReduce/4926593393724923 for more details.