Passing environment variables or parameters to a Spark job can be done in various ways. Here, we will discuss two common approaches: using configuration settings via the `–conf` or `–files` options and using the `spark-submit` command-line tool with custom parameters.
Using Configuration Settings
You can pass environment variables directly to Spark jobs using the `–conf` option with `spark-submit`. Here is an example:
PySpark Example
Let’s assume you want to pass an environment variable `MY_ENV_VAR` to the Spark job. You can set this variable in your Python code as:
import os
from pyspark.sql import SparkSession
# Create Spark session
spark = SparkSession.builder.appName("EnvironmentVariableExample").getOrCreate()
# Access the environment variable
my_env_var = os.environ.get("MY_ENV_VAR")
print(f"MY_ENV_VAR: {my_env_var}")
# Stop the spark session
spark.stop()
Then, you can pass the environment variable while submitting the job:
export MY_ENV_VAR="my_value"
spark-submit --conf spark.yarn.appMasterEnv.MY_ENV_VAR=$MY_ENV_VAR my_script.py
Scala Example
Here’s how you can handle the environment variable in a Scala Spark application:
import org.apache.spark.sql.SparkSession
object EnvironmentVariableExample {
def main(args: Array[String]): Unit = {
val spark = SparkSession.builder.appName("EnvironmentVariableExample").getOrCreate()
// Access the environment variable
val myEnvVar = sys.env.get("MY_ENV_VAR").getOrElse("")
println(s"MY_ENV_VAR: $myEnvVar")
// Stop the spark session
spark.stop()
}
}
Submit the Scala job similarly:
export MY_ENV_VAR="my_value"
spark-submit --conf spark.yarn.appMasterEnv.MY_ENV_VAR=$MY_ENV_VAR my_script.jar
Using Spark Configuration Settings
Another approach involves customizing Spark configurations programmatically within the code, without the need for environment variables. Here is an example:
Scala Example with Custom Parameters
Define the custom parameter in your code and pass it via the `spark-submit` command:
import org.apache.spark.sql.SparkSession
object CustomParameterExample {
def main(args: Array[String]): Unit = {
val spark = SparkSession.builder.appName("CustomParameterExample").getOrCreate()
// Access custom parameter
val customParam = spark.conf.get("spark.custom.param", "default_value")
println(s"Custom Parameter: $customParam")
// Stop the spark session
spark.stop()
}
}
Submit the job with the custom parameter:
spark-submit --conf spark.custom.param="my_custom_value" my_script.jar
PySpark Example with Custom Parameters
You can achieve similar results using PySpark:
from pyspark.sql import SparkSession
# Create Spark session
spark = SparkSession.builder.appName("CustomParameterExample").getOrCreate()
# Access the custom parameter
custom_param = spark.conf.get("spark.custom.param", "default_value")
print(f"Custom Parameter: {custom_param}")
# Stop the Spark session
spark.stop()
Submit the PySpark job with the custom parameter:
spark-submit --conf spark.custom.param="my_custom_value" my_script.py
Summary
To summarize, you can pass environment variables or custom parameters to a Spark job via the `–conf` option in the `spark-submit` command. You can then access these variables or parameters from your Spark application using appropriate methods in the language you are using, such as `os.environ` in Python or `sys.env` in Scala.