pyspark-tests 1.3.5

A test framework for Python Spark application development

spark-tests

A test framework, that defines several test doubles, to facilitate Python Spark application development.

spark_tests.sql module

Defines the following test doubles:

• FakeSparkSession
  • Stubs sql(sql_query) method to only log the sql_queries , not sending them to database for execution;
  • table(table_mame) and createDataFrame(data[, schema, samplingRatio, verifySchema]) methods delegate execution to the real SparkSession, but returns a FakeDataFrame instead of a DataFrame;
  • table(table_name) is often overridden in a subclass to return a table from a fake test database.
• FakeDataFrame
  • write returns a FakeDFWriter;
  • Other methods work just like a real DataFrame, but return FakeDataFrames instead of DataFrames;
• FakeDFWriter
  • Stubs a DataFrameWriter to only log Rows written, not writing them at all.

spark_tests.delta module

Defines FakeDeltaTable, that stubs merge(source, condition) to only log the merge operation, changing no data.

spark_tests.datetime module

Defines the following test doubles:

• FakeDatetime
  • Stubs now() method to return always a predefined datetime.
• FakeDate
  • Stubs today() method to return always a predefined date.