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Big Data Analytics 2016

Big Data Analytics with Hadoop and Spark

Setup Jupyter kernel

  1. Create folder for kernels.
mkdir -p ~/.ipython/kernels/pyspark
  1. Create kernel file.
touch ~/.ipython/kernels/pyspark/kernel.json
  1. Example of a kernel file, modify it with your configuration:
{
 "display_name": "pySpark (Spark 1.6.1)",
 "language": "python",
 "argv": [
  "/usr/bin/python27",
  "-m",
  "IPython.kernel",
  "-f",
  "{connection_file}"
 ],
 "env": {
  "SPARK_HOME": "<spark_dir>",
  "PYTHONPATH": "<spark_dir>/python/:<spark_dir>/python/lib/py4j-0.9-src.zip",
  "PYTHONSTARTUP": "<spark_dir>/python/pyspark/shell.py",
  "PYSPARK_SUBMIT_ARGS": "--master local[*] --packages graphframes:graphframes:0.1.0-spark1.6,com.databricks:spark-csv_2.10:1.4.0,org.apache.hadoop:hadoop-aws:2.6.0 pyspark-shell"
 }
}

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