Pyspark (dagster-pyspark)¶

dagster_pyspark.pyspark_resource ResourceDefinition[source]¶

This resource provides access to a PySpark SparkSession for executing PySpark code within Dagster.

Example

@solid(required_resource_keys={"pyspark"})
def my_solid(context):
    spark_session = context.pyspark.spark_session
    dataframe = spark_session.read.json("examples/src/main/resources/people.json")

my_pyspark_resource = pyspark_resource.configured(
    {"spark_conf": {"spark.executor.memory": "2g"}}
)

@pipeline(mode_defs=[ModeDefinition(resource_defs={"pyspark"})])
def my_pipeline():
    my_solid()