I am running into this problem w/ Apache Arrow Spark Integration.
Using AWS EMR w/ Spark 2.4.3
Tested this problem on both local spark single machine instanc
In EMR python3 is not resolved by default. You have to make it explicit. One way to do it is to pass a config.json file as you're creating the cluster. It's available in the Edit software settings section in AWS EMR UI. A sample json file looks something like this.
[
{
"Classification": "spark-env",
"Configurations": [
{
"Classification": "export",
"Properties": {
"PYSPARK_PYTHON": "/usr/bin/python3"
}
}
]
},
{
"Classification": "yarn-env",
"Properties": {},
"Configurations": [
{
"Classification": "export",
"Properties": {
"PYSPARK_PYTHON": "/usr/bin/python3"
}
}
]
}
]
Also you need to have the pyarrow module installed in all core nodes, not only in the master. For that you can use a bootstrap script while creating the cluster in AWS. Again, a sample bootstrap script can be as simple as something like this:
#!/bin/bash
sudo python3 -m pip install pyarrow==0.13.0