pyspark-stubs 2.4.0.post5

A collection of the Apache Spark stub files

A collection of the Apache Spark stub files. These files were generated by stubgen and manually edited to include accurate type hints.

Tests and configuration files have been originally contributed to the Typeshed project. Please refer to its contributors list and license for details.

Motivation

• Static error detection (see SPARK-20631)

  

• Improved completion for chained method calls.

  

Installation and usage

Please note that the guidelines for distribution of type information is still work in progress (PEP 561 - Distributing and Packaging Type Information). Currently installation script overlays existing Spark installations (pyi stub files are copied next to their py counterparts in the PySpark installation directory). If this approach is not acceptable you can stub files to the search path manually.

According to PEP 484:

Third-party stub packages can use any location for stub storage. Type checkers should search for them using PYTHONPATH.

Moreover:

Third-party stub packages can use any location for stub storage. Type checkers should search for them using PYTHONPATH. A default fallback directory that is always checked is shared/typehints/python3.5/ (or 3.6, etc.)

Please check usage before proceeding.

The package is available on PYPI:

pip install pyspark-stubs

Depending on your environment you might also need a type checker, like Mypy or Pytype.

• PyCharm - Works out-of-the-box, though as of today (PyCharm 2018.2.4) built-in type checker is somewhat limited compared to MyPy.

• Atom - Requires atom-mypy or equivalent.

• Jupyter Notebooks - It is possible to use magics to type check directly in the notebook.

• Environment independent - Just use your favorite checker directly, optionally combined with tool like entr.

Version Compatibility

Package versions follow PySpark versions with exception to maintenance releases - i.e. pyspark-stubs==2.3.0 should be compatible with pyspark>=2.3.0,<2.4.0. Maintenance releases (post1, post2, …, postN) are reserved for internal annotations updates.

API Coverage

Module	Dynamically typed	Statically typed	Notes
pyspark	✔	✘
pyspark.accumulators	✘	✔
pyspark.broadcast	✔	✔	Mixed
pyspark.cloudpickle	✘	✘	Internal
pyspark.conf	✘	✔
pyspark.context	✘	✔
pyspark.daemon	✘	✘	Internal
pyspark.files	✘	✔
pyspark.find_spark_home	✘	✘	Internal
pyspark.heapq3	✘	✘	Internal
pyspark.java_gateway	✘	✘	Internal
pyspark.join	✘	✔
pyspark.ml	✔	✘
pyspark.ml.base	✘	✔
pyspark.ml.classification	✘	✔
pyspark.ml.clustering	✘	✔
pyspark.ml.common	✔	✘
pyspark.ml.evaluation	✘	✔
pyspark.ml.feature	✘	✔
pyspark.ml.fpm	✘	✔
pyspark.ml.image	✘	✔
pyspark.ml.linalg	✘	✔
pyspark.ml.param	✘	✔
pyspark.ml.param._shared_params_code_gen	✘	✘	Internal
pyspark.ml.param.shared	✘	✔
pyspark.ml.pipeline	✘	✔
pyspark.ml.recommendation	✘	✔
pyspark.ml.regression	✘	✔
pyspark.ml.stat	✘	✔
pyspark.ml.tests	✘	✘	Tests
pyspark.ml.tuning	✘	✔
pyspark.ml.util	✘	✔
pyspark.ml.wrapper	✔	✔	Mixed
pyspark.mllib	✔	✘
pyspark.mllib.classification	✘	✔
pyspark.mllib.clustering	✘	✔
pyspark.mllib.common	✔	✘
pyspark.mllib.evaluation	✘	✔
pyspark.mllib.feature	✘	✔
pyspark.mllib.fpm	✘	✔
pyspark.mllib.linalg	✘	✔
pyspark.mllib.linalg.distributed	✘	✔
pyspark.mllib.random	✘	✔
pyspark.mllib.recommendation	✘	✔
pyspark.mllib.regression	✘	✔
pyspark.mllib.stat	✘	✔
pyspark.mllib.stat.KernelDensity	✘	✔
pyspark.mllib.stat._statistics	✘	✔
pyspark.mllib.stat.distribution	✘	✔
pyspark.mllib.stat.test	✘	✔
pyspark.mllib.tests	✘	✘	Tests
pyspark.mllib.tree	✘	✔
pyspark.mllib.util	✘	✔
pyspark.profiler	✘	✔
pyspark.rdd	✘	✔
pyspark.rddsampler	✘	✔
pyspark.resultiterable	✘	✔
pyspark.serializers	✔	✘
pyspark.shell	✘	✘	Internal
pyspark.shuffle	✘	✘	Internal
pyspark.sql	✔	✘
pyspark.sql.catalog	✘	✔
pyspark.sql.column	✘	✔
pyspark.sql.conf	✘	✔
pyspark.sql.context	✘	✔
pyspark.sql.dataframe	✘	✔
pyspark.sql.functions	✘	✔
pyspark.sql.group	✘	✔
pyspark.sql.readwriter	✘	✔
pyspark.sql.session	✘	✔
pyspark.sql.streaming	✘	✔
pyspark.sql.tests	✘	✘	Tests
pyspark.sql.types	✘	✔
pyspark.sql.utils	✔	✘
pyspark.sql.window	✘	✔
pyspark.statcounter	✘	✔
pyspark.status	✘	✔
pyspark.storagelevel	✘	✔
pyspark.streaming	✔	✘
pyspark.streaming.context	✘	✔
pyspark.streaming.dstream	✘	✔
pyspark.streaming.flume	✔	✘
pyspark.streaming.kafka	✘	✔
pyspark.streaming.kinesis	✔	✘
pyspark.streaming.listener	✔	✘
pyspark.streaming.tests	✘	✘	Tests
pyspark.streaming.util	✔	✘
pyspark.taskcontext	✘	✔
pyspark.tests	✘	✘	Tests
pyspark.traceback_utils	✘	✘	Internal
pyspark.util	✔	✘
pyspark.version	✘	✔
pyspark.worker	✘	✘	Internal

Disclaimer

Apache Spark, Spark, PySpark, Apache, and the Spark logo are trademarks of The Apache Software Foundation. This project is not owned, endorsed, or sponsored by The Apache Software Foundation.