pytest-spark 0.7.0

Set Spark location

To run tests with required spark_home location you need to define it by using one of the following methods:

1. Specify command line option “–spark_home”:

   $ pytest --spark_home=/opt/spark

2. Add “spark_home” value to pytest.ini in your project directory:

   [pytest]
   spark_home = /opt/spark

3. Set the “SPARK_HOME” environment variable.

pytest-spark will try to import pyspark from provided location.

Customize spark_options

Just define “spark_options” in your pytest.ini, e.g.:

[pytest]
spark_home = /opt/spark
spark_options =
    spark.app.name: my-pytest-spark-tests
    spark.executor.instances: 1
    spark.jars.packages: com.databricks:spark-xml_2.12:0.5.0

Using the spark_context fixture

Use fixture spark_context in your tests as a regular pyspark fixture. SparkContext instance will be created once and reused for the whole test session.

Example:

def test_my_case(spark_context):
    test_rdd = spark_context.parallelize([1, 2, 3, 4])
    # ...

Using the spark_session fixture (Spark 2.0 and above)

Use fixture spark_session in your tests as a regular pyspark fixture. A SparkSession instance with Hive support enabled will be created once and reused for the whole test session.

Example:

def test_spark_session_dataframe(spark_session):
    test_df = spark_session.createDataFrame([[1,3],[2,4]], "a: int, b: int")
    # ...

Overriding default parameters of the spark_session fixture

By default spark_session will be loaded with the following configurations :

Example:

{
    'spark.app.name': 'pytest-spark',
    'spark.default.parallelism': 1,
    'spark.dynamicAllocation.enabled': 'false',
    'spark.executor.cores': 1,
    'spark.executor.instances': 1,
    'spark.io.compression.codec': 'lz4',
    'spark.rdd.compress': 'false',
    'spark.sql.shuffle.partitions': 1,
    'spark.shuffle.compress': 'false',
    'spark.sql.catalogImplementation': 'hive',
}

You can override some of these parameters in your pytest.ini. For example, removing Hive Support for the spark session :

Example:

[pytest]
spark_home = /opt/spark
spark_options =
    spark.sql.catalogImplementation: in-memory