pytest plugin to run the tests with support of pyspark (Apache Spark).
This plugin will allow to specify SPARK_HOME directory in pytest.ini and thus to make “pyspark” importable in your tests which are executed by pytest.
Also it defines session scope fixture spark_context which can be used in your tests.
Install
$ pip install pytest-sparkUsage
Set Spark location
To run tests with required spark_home location you need to define it by using one of the following methods:
Specify command line option “–spark_home”:
$ pytest --spark_home=/opt/spark
Add “spark_home” value to pytest.ini in your project directory:
[pytest] spark_home = /opt/spark
Set the “SPARK_HOME” environment variable.
pytest-spark will try to import pyspark from provided location.
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")
# ...
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